DhuFAP: a platform for gene functional analysis in Dendrobium huoshanense

BACKGROUND

Dendrobium huoshanense, a traditional medicinal and food plant, has a rich history of use. Recently, its genome was decoded, offering valuable insights into gene function. However, there is no comprehensive gene functional analysis platform for D. huoshanense.

RESULT

To address this, we created a platform for gene function analysis and comparison in D. huoshanense (DhuFAP). Using 69 RNA-seq samples, we constructed a gene co-expression network and annotated D. huoshanense genes by aligning sequences with public protein databases. Our platform contained tools like Blast, gene set enrichment analysis, heatmap analysis, sequence extraction, and JBrowse. Analysis revealed co-expression of transcription factors (C2H2, GRAS, NAC) with genes encoding key enzymes in alkaloid biosynthesis. We also showcased the reliability and applicability of our platform using Chalcone synthases (CHS).

CONCLUSION

DhuFAP ( www.gzybioinformatics.cn/DhuFAP ) and its suite of tools represent an accessible and invaluable resource for researchers, enabling the exploration of functional information pertaining to D. huoshanense genes. This platform stands poised to facilitate significant biological discoveries in this domain.

Anesthesia decision analysis using a cloud-based big data platform

Big data technologies have proliferated since the dawn of the cloud-computing era. Traditional data storage, extraction, transformation, and analysis technologies have thus become unsuitable for the large volume, diversity, high processing speed, and low value density of big data in medical strategies, which require the development of novel big data application technologies. In this regard, we investigated the most recent big data platform breakthroughs in anesthesiology and designed an anesthesia decision model based on a cloud system for storing and analyzing massive amounts of data from anesthetic records. The presented Anesthesia Decision Analysis Platform performs distributed computing on medical records via several programming tools, and provides services such as keyword search, data filtering, and basic statistics to reduce inaccurate and subjective judgments by decision-makers. Importantly, it can potentially to improve anesthetic strategy and create individualized anesthesia decisions, lowering the likelihood of perioperative complications.

The internet and various social media platforms as source of information to patients with wounds in Kenya

Background

The internet has led to the realization that the world is a global village. Due to technological advancements, anyone can access the internet and various video sharing platforms and in turn, get access to or share information across the world. One of the most sought-after critical pieces of information on the internet, as well as social media platforms, is information regarding wounds.

Objective

To determine the views of patients with chronic wounds regarding the internet and other social media platforms as a source of information regarding wounds.

Methodology

A descriptive prospective study covering the period between November 1, 2022, and January 30, 2023. All patients with chronic wounds presenting in the plastic outpatient clinic, together with patients presenting themselves in the wound clinic at Kenyatta National Hospital (KNH) during this period, were informed about the study and asked to participate. After consenting, they were then required to sign an informed consent form after agreeing to participate. Data collection was done through interviews and filled out in structured questionnaires. Data points included demographics, information on internet use, and interaction with the various social media platforms.

Results

83.4% of the participants were of the opinion that the contents shared were done so by professionals, compared to 12.5% who indicated that the owners or uploaders of the contents were laymen. 2.6% and 1.5%, on the other hand, opined that the owners or uploaders of the contents were unknown and difficult to tell, respectively.

Discussion

The participants in the current study felt that some aspects regarding content on wounds that is shared on the internet as well as other social media platforms would need further improvement. Such areas included information regarding wound dressing concepts, the etiology and pathophysiology of wounds, complications of wounds, and wound pain management.

CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks

BACKGROUND

Lack of trust in artificial intelligence (AI) models in medicine is still the key blockage for the use of AI in clinical decision support systems (CDSS). Although AI models are already performing excellently in systems medicine, their black-box nature entails that patient-specific decisions are incomprehensible for the physician. Explainable AI (XAI) algorithms aim to "explain" to a human domain expert, which input features influenced a specific recommendation. However, in the clinical domain, these explanations must lead to some degree of causal understanding by a clinician.

RESULTS

We developed the CLARUS platform, aiming to promote human understanding of graph neural network (GNN) predictions. CLARUS enables the visualisation of patient-specific networks, as well as, relevance values for genes and interactions, computed by XAI methods, such as GNNExplainer. This enables domain experts to gain deeper insights into the network and more importantly, the expert can interactively alter the patient-specific network based on the acquired understanding and initiate re-prediction or retraining. This interactivity allows us to ask manual counterfactual questions and analyse the effects on the GNN prediction.

CONCLUSION

We present the first interactive XAI platform prototype, CLARUS, that allows not only the evaluation of specific human counterfactual questions based on user-defined alterations of patient networks and a re-prediction of the clinical outcome but also a retraining of the entire GNN after changing the underlying graph structures. The platform is currently hosted by the GWDG on https://rshiny.gwdg.de/apps/clarus/.

ASAP: a platform for gene functional analysis in Angelica sinensis

BACKGROUND

Angelica sinensis (Danggui), a renowned medicinal orchid, has gained significant recognition for its therapeutic effects in treating a wide range of ailments. Genome information serves as a valuable resource, enabling researchers to gain a deeper understanding of gene function. In recent times, the availability of chromosome-level genomes for A. sinensis has opened up vast opportunities for exploring gene functionality. Integrating multiomics data can allow researchers to unravel the intricate mechanisms underlying gene function in A. sinensis and further enhance our knowledge of its medicinal properties.

RESULTS

In this study, we utilized genomic and transcriptomic data to construct a coexpression network for A. sinensis. To annotate genes, we aligned them with sequences from various databases, such as the NR, TAIR, trEMBL, UniProt, and SwissProt databases. For GO and KEGG annotations, we employed InterProScan and GhostKOALA software. Additionally, gene families were predicted using iTAK, HMMER, OrholoFinder, and KEGG annotation. To facilitate gene functional analysis in A. sinensis, we developed a comprehensive platform that integrates genomic and transcriptomic data with processed functional annotations. The platform includes several tools, such as BLAST, GSEA, Heatmap, JBrowse, and Sequence Extraction. This integrated resource and approach will enable researchers to explore the functional aspects of genes in A. sinensis more effectively.

CONCLUSION

We developed a platform, named ASAP, to facilitate gene functional analysis in A. sinensis. ASAP ( www.gzybioinformatics.cn/ASAP ) offers a comprehensive collection of genome data, transcriptome resources, and analysis tools. This platform serves as a valuable resource for researchers conducting gene functional research in their projects, providing them with the necessary data and tools to enhance their studies.

A blueprint for a multi-disease, multi-domain Bayesian adaptive platform trial incorporating adult and paediatric subgroups: the Staphylococcus aureus Network Adaptive Platform trial

The Staphylococcus aureus Network Adaptive Platform (SNAP) trial is a multifactorial Bayesian adaptive platform trial that aims to improve the way that S. aureus bloodstream infection, a globally common and severe infectious disease, is treated. In a world first, the SNAP trial will simultaneously investigate the effects of multiple intervention modalities within multiple groups of participants with different forms of S. aureus bloodstream infection. Here, we formalise the trial structure, modelling approach, and decision rules that will be used for the SNAP trial. By summarising the statistical principles governing the design, our hope is that the SNAP trial will serve as an adaptable template that can be used to improve comparative effectiveness research efficiency in other disease areas.Trial registration NCT05137119 . Registered on 30 November 2021.

Evaluating the impact of an information-based education and training platform on the incidence, severity, and coping resources status of workplace violence among nurses: a quasi-experimental study

BACKGROUND

Workplace violence among nurses has emerged as a critical issue, posing a significant threat to their occupational safety. Education and training are the primary measures employed to prevent and respond to workplace violence. However, the current approaches have proven ineffective, possibly due to a lack of consideration for the specific needs of clinical nurses. Therefore, it is essential to explore the effectiveness of an informational education and training platform tailored to nurses' requirements. This study aimed to investigate the impact of such a platform on the incidence, severity, and coping resources of WPV in nurses.

METHODS

This research was a quasi-experimental study. An information-based education and training platform focused on nurse workplace violence was developed through literature reviews, expert meetings, consultations with software development companies, and a trial run. A tertiary general hospital in Suzhou was selected, in which hospital district A was the intervention group and hospital district B was the control group. A total of 276 nurses were recruited, 140 in the intervention group and 136 in the control group. The nurses' incidence, severity, coping resources status, and evaluation of the application were measured before the intervention and at 1, 3, and 6 months after the intervention.

RESULTS

The overall incidence of workplace violence, verbal aggression, and verbal threat among nurses showed statistically significant differences (P < 0.05) for the time effect, while the incidence of physical aggression demonstrated statistically significant differences (P < 0.05) for the between-group effect and the time effect. The severity of physical violence among nurses exhibited statistically significant differences (P < 0.05) for the between-group effect and time effect, and the severity of psychological violence showed statistically significant differences (P < 0.05) for the time effect. Nurses' total coping resources score and dimensions also showed statistically significant differences in terms of group, time, and interaction effects (P < 0.001). The evaluation questionnaire for the mobile application indicated usefulness scores of 2 (1, 2); ease of learning scores of 2 (1, 2); ease of use scores of 2 (1, 2); trust scores of 2 (1, 2.75); acceptance score of 1 (1, 2); and satisfaction scores of 2 (1, 2).

CONCLUSIONS

Implementing the nurse workplace violence information-based education and training platform proved beneficial in reducing the incidence and severity of workplace violence among nurses and enhancing their coping resources. This outcome suggested the platform's potential for further application and promotion in clinical settings.

Chinese national music platformisation: A systematic review

Chinese national music is unique to China, and in the past, the single means of distribution and the audience led to the fact that knowledge of Chinese culture and history was limited to national musicians and a subset of fans. With the rapid development of the internet, the dissemination of Chinese national music is no longer limited to live performances, but is beginning to shift to media platforms. Social media has had a tremendous impact on Chinese music culture; people can search for any information they need about Chinese music. With the advancement of social media, groups of internet celebrities such as wanghong () have formed on the internet. This study systematically reviews platformisation and the social media in Chinese national music. Past literature and current notions on Chinese national music development under platformisation are examined given the essentiality of smart devices in developing music through digital technology. The study posed three research questions: 1.What is the current state of development of Chinese national music? What opportunities does platformisation bring to Chinese national music? 2.What areas are the focus for research on platformisation and social media? What is the impact on the music field? 3.What is the history of the development of the Chinese wanghong phenomenon? What impact has it made on Chinese national music? A general systematic review of scholarly articles was conducted for this study using multiple publications from reputable databases: Scopus, Web of Science and CNKI (China National Knowledge Infrastructure). The articles were categorised based on scholarly works involving platforms, platformisation, Chinese national music, social media, and wanghong to determine past study profiles in this domain and relevant knowledge gaps.

A simplified approach to satellite-based monitoring system of sugarcane plantation to manage yield decline at Wonji-Shoa Sugar Estate, central Ethiopia

Drastic and continuous decline in cane yields has become a major threat to sustainable sugarcane production in Ethiopia. Among the causes for the decline are the inefficient and ineffective system of monitoring sugarcane plantations. Adopting satellite-based crop monitoring through the Landviewer platform may circumvent this problem. However, the reliability of vegetation indexes calculated by the platform is unknown and thus requires evaluation. Accordingly, we tested the accuracy of selected Landviewer Calculated Vegetation Indexes (LCVIs) on three major sugarcane varieties and two cropping types. The goodness-of-fit of the sigmoid curve to the LCVIs profile of sugarcane was evaluated. The correlations between LCVIs and yield components, LCVIs and fractional green canopy cover (FGCC), as well as the time-serious Normalized Difference Vegetation Index (NDVI) and yields, were also analysed. We found that the goodness-of-fit of the sigmoid curve was significant (p < 0.001), with 84%-95% accuracy in all the indexes. The majority of LCVIs showed significant (p < 0.05) relationships with yield components and FGCC. The time-series NDVI also demonstrated a significant relationship with cane yield (R2 = 0.73-0.85) at the age of 10 months and above. The accuracy level of LCVIs varies with varieties and crop types, but the Normalized Difference Phenology Index (NDPI), Soil Adjusted Vegetation Index (SAVI), and NDVI were identified as the most consistent and effective LCVIs for sugarcane monitoring. Therefore, the accuracy of LCVIs was dependable and can be used effectively in monitoring sugarcane plantations to tackle the problem of continuous decline in the yield of the crop.

Effects of Different Surfaces on Metabolic Cost During Repetitive Jumping: A Pilot Study

The purpose of this pilot study was to determine if there is a difference in metabolic cost when jumping on platforms of varying thickness, as well as whether a difference exists in metabolic cost between genders exists on the different platforms. Fourteen participants (seven males and seven females) completed three repetitive jumping trials on the DigiJump machine. Each trial was performed at a cadence of 120 jumps per minute and at a minimum height of 1/2″ per jump. Trials were completed on platforms of 1/2″, 3/8″, and 1/4″ thickness. Participants were instructed to jump as long as possible while maintaining the prescribed cadence or until fifteen minutes had elapsed. There were no differences observed in metabolic cost or exertion for all participants or between genders as indicated by oxygen consumption, respiratory exchange ratio, upper leg RPE, or lower leg RPE. There were also no differences for durations of exercise the participants were able to sustain on the machine. However, when comparing data between genders, a significant interaction was observed in total body RPE across the three platforms (p = .009) and in HR on the 1/2″ platform (p = .018). Results from this study indicate that metabolic cost is similar during repetitive jumping regardless of platform rigidity or gender. However, post-trial comments from participants did show preferences towards specific platforms, though this was not apparent in exercise duration.

Data Sharing Platform for MIMIC-IV and MIMIC-ED Data Marts: Designing a Data Retrieving System Based on the Intra-Hospital Patient Transfer Pathway

Accessibility to high-quality historical data for patients in hospitals may facilitate related predictive model development and data analysis experiments. This study provides a design for a data-sharing platform based on all possible criteria for Medical Information Mart for Intensive Care (MIMIC) IV and Emergency MIMIC-ED. Tables containing columns of medical attributions and outcomes were studied by a team of 5 experts in Medical Informatics. They completely agreed about the columns connection using subject-id, HDM-id, and stay-id as foreign keys. The tables of two marts were considered in the intra-hospital patient transfer path with various outcomes. Using the constraints, queries were generated and applied to the backend of the platform. The suggested user interface was drawn to retrieve records based on various entry criteria and present the output in the frame of a dashboard or a graph. This design is a step toward platform development that is useful for studies aimed at patient trajectory analysis, medical outcome prediction, or studies that require heterogeneous data entries.

GelFAP v2.0: an improved platform for Gene functional analysis in Gastrodia elata

BACKGROUND

Gastrodia elata (tianma), a well-known medicinal orchid, is widely used to treat various kinds of diseases with its dried tuber. In recent years, new chromosome-level genomes of G.elata have been released in succession, which offer an enormous resource pool for understanding gene function. Previously we have constructed GelFAP for gene functional analysis of G.elata. As genomes are updated and transcriptome data is accumulated, collection data in GelFAP cannot meet the need of researchers.

RESULTS

Based on new chromosome-level genome and transcriptome data, we constructed co-expression network of G. elata, and then we annotated genes by aligning with sequences from NR, TAIR, Uniprot and Swissprot database. GO (Gene Ontology) and KEGG (Kyoto Encylopaedia of Genes and Genomes) annotations were predicted by InterProScan and GhostKOALA software. Gene families were further predicted by iTAK (Plant Transcription factor and Protein kinase Identifier and Classifier), HMMER (hidden Markov models), InParanoid. Finally, we developed an improved platform for gene functional analysis in G. elata (GelFAP v2.0) by integrating new genome, transcriptome data and processed functional annotation. Several tools were also introduced to platform including BLAST (Basic Local Alignment Search Tool), GSEA (Gene Set Enrichment Analysis), Heatmap, JBrowse, Motif analysis and Sequence extraction. Based on this platform, we found that the flavonoid biosynthesis might be regulated by transcription factors (TFs) such as MYB, HB and NAC. We also took C4H and GAFP4 as examples to show the usage of our platform.

CONCLUSION

An improved platform for gene functional analysis in G. elata (GelFAP v2.0, www.gzybioinformatics.cn/Gelv2 ) was constructed, which provides better genome data, more transcriptome resources and more analysis tools. The updated platform might be preferably benefit researchers to carry out gene functional research for their project.

BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosis

BACKGROUND

Cystic fibrosis (CF) is a rare, inherited, life-limiting condition predominantly affecting the lungs, for which there is no cure. The disease is characterized by recurrent pulmonary exacerbations (PEx), which are thought to drive progressive lung damage. Management of these episodes is complex and generally involves multiple interventions targeting different aspects of disease. The emergence of innovative trials and use of Bayesian statistical methods has created renewed opportunities for studying heterogeneous populations in rare diseases. Here, we present the protocol for the BEAT CF PEx cohort, a prospective, multi-site, perpetual, platform enrolling adults and children with CF. The BEAT CF PEx cohort will be used to evaluate the comparative effectiveness of interventions for the treatment of PEx requiring intensive therapy (PERITs), with a primary focus on short-term improvements in lung function. This will be achieved through the conduct of cohort-nested studies, including adaptive clinical trials, within the BEAT CF PEx cohort. This protocol will outline key features of the BEAT CF PEx cohort, including the design, implementation, data collection and management, governance and analysis, and dissemination of results.

METHODS

This platform will be conducted across multiple sites, commencing with CF treatment centers in Australia. People of all ages with a clinical diagnosis of CF will be eligible to participate, except those who have previously received a lung transplant. Data including demographic and clinical information, treatment details, and outcomes (including safety, microbiology, and patient-reported outcome measures including quality of life scores) will be systematically collected and securely stored via a digital centralized trial management system (CTMS). The primary endpoint is the absolute change in the percentage predicted forced expiratory volume in 1 s (ppFEV₁) from the commencement of intensive therapy to 7 to 10 days afterwards.

DISCUSSION

The BEAT CF PEx cohort will report clinical, treatment, and outcome data for PEx among people with CF and is intended to serve as a core (master) protocol for future nested, interventional trials evaluating treatment(s) for these episodes. The protocols for nested sub-studies are beyond the scope of this document and will be reported separately.

TRIAL REGISTRATION

ANZCTR BEAT CF Platform - ACTRN12621000638831. Registration date: Sept. 26, 2022.

Marketing in the metaverse era: toward an integrative channel approach

The development pace of digital socialization has accelerated drastically in the past decade, especially with the COVID-19 pandemic. Through that continuing digital shift, the idea of the metaverse, a virtual parallel world that can digitally replicate people's lives, is developing fast through Meta's (previously known as Facebook) announcement in October 2021 that it will dedicate sizeable investments in it. While the metaverse provides immense opportunities to brands, the primary concern will be on how integrate it with current media and retail channels, whether they are offline or online. Accordingly, using an exploratory qualitative approach, this study examined the potential strategic channel-based marketing routes that companies would face in the presence of the metaverse. The findings show that the route to market will become much more complex given the metaverse's own platform setup. Strategic multichannel and omnichannel routes are examined through a proposed framework that takes into consideration the expected evolution of the metaverse platform.

PROphylaxis for paTiEnts at risk of COVID-19 infecTion (PROTECT-V)

BACKGROUND

Despite the introduction of vaccination, there remains a need for pre-exposure prophylactic agents against SARS-CoV-2. Several patient groups are more vulnerable to SARS-CoV-2 infection by virtue of underlying health conditions, treatments received or suboptimal responses to vaccination.

METHODS

PROTECT-V is a platform trial testing pre-exposure prophylactic interventions against SARS-CoV-2 infection in vulnerable patient populations (organ transplant recipients; individuals with oncological/haematological diagnoses, immune deficiency or autoimmune diseases requiring immunosuppression or on dialysis). Multiple agents can be evaluated across multiple vulnerable populations sharing placebo groups, with the option of adding additional treatments at later time points as these become available. The primary endpoint is symptomatic SARS-CoV-2 infection, and each agent will be independently evaluated in real time when the required number of events occurs. Presently, three agents are approved in the platform: intranasal niclosamide, nasal and inhaled ciclesonide and intravenous sotrovimab.

DISCUSSION

Despite the introduction of vaccination, there remains a need for pre-exposure prophylactic agents against SARS-CoV-2. Several patient groups are more vulnerable to COVID-19 disease by virtue of underlying health conditions, treatments received or suboptimal responses to vaccination.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04870333. EudraCT 2020-004144-28.

Folding of heterologous proteins in bacterial cell factories: Cellular mechanisms and engineering strategies

The expression of correctly folded and functional heterologous proteins is important in many biotechnological production processes, whether it is enzymes, biopharmaceuticals or biosynthetic pathways for production of sustainable chemicals. For industrial applications, bacterial platform organisms, such as E. coli, are still broadly used due to the availability of tools and proven suitability at industrial scale. However, expression of heterologous proteins in these organisms can result in protein aggregation and low amounts of functional protein. This review provides an overview of the cellular mechanisms that can influence protein folding and expression, such as co-translational folding and assembly, chaperone binding, as well as protein quality control, across different model organisms. The knowledge of these mechanisms is then linked to different experimental methods that have been applied in order to improve functional heterologous protein folding, such as codon optimization, fusion tagging, chaperone co-production, as well as strain and protein engineering strategies.

A safe replication-defective Zika virus vaccine protects mice from viral infection and vertical transmission

With the explosive emergence of Zika virus (ZIKV) and the consequent devastating fetal malformations in infected expectant women, a safe and effective vaccine is urgently needed. Here, using our established NS1 trans-complementation system, we generated high titer of replication-defective ZIKV with NS1 deletion (ZIKV-ΔNS1) in the BHK-21 cell line stably expressing NS1 (BHK_NS1). NS1 deletion of ZIKV-ΔNS1 was stably maintained as no replicative virus was found in naïve BHK-21 cells after continuous passaging of ZIKV-ΔNS1 in BHK_NS1 cells. The safety of ZIKV-ΔNS1 was demonstrated when a high dose of ZIKV-ΔNS1 (10⁷ IU) was used to infect the highly susceptible type I and type II interferon (IFN) receptor-deficient mice. ZIKV-ΔNS1 could induce antibody responses in both immunocompetent (BALB/c) and immunodeficient mice and a single dose of ZIKV-ΔNS1 vaccine protected the immunodeficient mice from a highly lethal dosage of challenge with WT ZIKV. ZIKV-ΔNS1 immunization also attenuated vertical transmission during pregnancy of type I IFN receptor-deficient IFNAR^-/- mice and protected fetuses from ZIKV infection. Our data reported here not only provide a promising ZIKV vaccine candidate with a satisfied balance between safety and efficacy, but also demonstrate the potential of the NS1 trans-complementation system as a platform for flavivirus vaccine development, especially for highly pathogenic flaviviruses.

The adoption of remote work platforms after the Covid-19 lockdown: New approach, new evidence

With the aim of providing further insights into the driving factors influencing behavioral intentions and expectations to use remote work after the Covid-19 lockdown, this study draws on an enhanced version of the technology acceptance model to analyze the determinants and moderating factors of remote work platform use. From an analysis of quantitative data collected from questionnaires and qualitative data from interviews with employees of Chinese firms in the service sector, we conclude that post-lockdown adoption of remote work is explained by three main variables: behavioral intention, behavioral expectation and facilitating conditions, but demographic characteristics and factors related to the specific features of remote work all nevertheless moderate the relationships in our model. In addition to gender, the generational gap and behavioral tendency should be taken into consideration to improve employee acceptance rates.

MicroRNA Expression Profiling Using Agilent One-Color Microarray

MicroRNA (miRNA) expression profiling is an important tool to identify miRNA regulation in physiological or pathological states. This technique has a large number of molecular diagnostic applications, including cancer, cardiovascular and autoimmune diseases, and forensics. To date, a multitude of high-throughput genomic approaches have been developed. Here, we focus on miRNA expression profiling by microarray using SurePrint technology, providing a description of both the workflow and methods for expression profiling by Agilent One-Color Microarray.

Virtual clinical pharmacy training in the era of COVID-19: A report on undergraduate students' perceptions and academic performance

INTRODUCTION

The study objective was to explore the impact of the complete virtual transition of in-hospital clinical training on students' academic performance and to assess students' perceptions of the overall experience.

METHODS

In-hospital clinical training was delivered via distance learning using daily synchronous videoconferences for two successive weeks to 350 final-year pharmacy students. The Virtual Faculty of Pharmacy Cairo University (VFOPCU) platform allowed trainees to virtually browse patient files interactively with their clinical instructors to simulate a typical rounding experience. Academic performance was evaluated through identical 20-question tests before and after training. Perceptions were assessed through an online survey.

RESULTS

Response rates were 79% pretest and 64% posttest. The median score was significantly higher after receiving the virtual training (7/20 [6-9] out of 20 pretest vs. 18/20 [11-20] posttest, P < .001]. Training evaluations revealed high levels of satisfaction (average rating > 3.5/5). Around 27% of respondents were completely satisfied with the overall experience, providing no suggestions for improvement. However, inappropriate timing of the training (27.4%) and describing training as being condensed and tiring (16.2%) were the main disadvantages reported.

CONCLUSIONS

Implementing a distance learning method with the aid of the VFOPCU platform to deliver clinical experiences instead of physical presence in hospitals appeared to be feasible and helpful during the COVID-19 crisis. Consideration of student suggestions and better utilization of available resources will open the door for new and better ideas to deliver clinical skills virtually even after resolution of the pandemic.

Auctioning approaches for ecosystem services - Evidence and applications

Auctions have attracted growing attention as bidding mechanisms for soliciting or allocating payments for a wide range of ecosystem services (ES). This paper reviews the latest scientific knowledge on ES auctioning approaches. Using systematically selected academic articles, we trace and discuss the development of ES auction literature across space, time, target ecosystem, and mechanism type. We integrate previous attempts to organize this body of work to produce a composite factor map of entry points to more specialized sub-literatures engaging with current issues in auction design and implementation. The results show that most academic work focuses on reverse auctions, where landowners bid their willingness to accept contracts to protect or promote ES provisioning, but we also locate several forward (i.e. beneficiaries bid their willingness to pay for ES) and mixed mechanisms. We critically analyze major advantages and challenges for each approach, emphasizing issues related to transaction costs and accessibility for participants and agencies. Overall, our findings suggest that ES auctions have a robust track record but remain administratively and logistically challenging. Further investment in open-source tools, shared infrastructure, and other efforts to make auctions more accessible to researchers, agencies, and participants alike is strongly indicated.

Who wants to go first? A simulation study of accrual in a stand-alone trial versus starting a platform trial

Others have quantified the efficiency of the platform approach as compared to a sequence of independent two-arm trials and have shown the platform approach more efficiently evaluates a set of candidate therapies. However, a practical barrier to initiating a platform trial is incentivizing the first candidate therapies to enter the platform. A platform trial is more complex and will take longer to design and operationalize than a traditional trial. For the first therapy, this additional up-front planning time must be considered along with the ability to enroll. There is a common concern that accrual in a platform setting would take longer than for a single stand-alone trial because intuition suggests that a two-arm trial with a smaller total sample size should complete accrual more quickly than a multi-armed trial. We focus on the accrual duration for the first therapy as a particular barrier to initiating a platform trial strategy. We simulate accrual into a platform trial versus a stand-alone trial in the setting of a large clinical trial network. Accrual duration in the platform strategy dominates that of a single stand-alone trial if the platform leverages a large enough fraction of the site network. Patient preference for a particular stand-alone trial has little impact on the ability of a stand-alone trial to enroll more quickly.

Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA

MicroRNAs (miRNAs) are important regulators of gene expression. The large-scale detection and profiling of miRNAs have been accelerated with the development of high-throughput small RNA sequencing (sRNA-Seq) techniques and bioinformatics tools. However, generating high-quality comprehensive miRNA annotations remains challenging due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA prediction tools. Here, we present iwa-miRNA, a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation. iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates, bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets. It can also assist users in selecting promising miRNA candidates in an interactive mode, contributing to the accessibility and reproducibility of genome-wide miRNA annotation. iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience. With flexible, interactive, and easy-to-use features, iwa-miRNA is a valuable tool for the annotation of miRNAs in plant species with reference genomes. We also illustrate the application of iwa-miRNA for miRNA annotation using data from plant species with varying genomic complexity. The source codes and web server of iwa-miRNA are freely accessible at http://iwa-miRNA.omicstudio.cloud/.

An overview of current drugs and prophylactic vaccines for coronavirus disease 2019 (COVID-19)

Designing and producing an effective vaccine is the best possible way to reduce the burden and spread of a disease. During the coronavirus disease 2019 (COVID-19) pandemic, many large pharmaceutical and biotechnology companies invested a great deal of time and money in trying to control and combat the disease. In this regard, due to the urgent need, many vaccines are now available earlier than scheduled. Based on their manufacturing technology, the vaccines available for COVID-19 (severe acute respiratory syndrome coronavirus 2 (SAR-CoV2)) infection can be classified into four platforms: RNA vaccines, adenovirus vector vaccines, subunit (protein-based) vaccines, and inactivated virus vaccines. Moreover, various drugs have been deemed to negatively affect the progression of the infection via various actions. However, adaptive variants of the SARS-CoV-2 genome can alter the pathogenic potential of the virus and increase the difficulty of both drug and vaccine development. In this review, along with drugs used in COVID-19 treatment, currently authorized COVID-19 vaccines as well as variants of the virus are described and evaluated, considering all platforms.

Application of Bayesian methods to accelerate rare disease drug development: scopes and hurdles

Background

Design and analysis of clinical trials for rare and ultra-rare disease pose unique challenges to the practitioners. Meeting conventional power requirements is infeasible for diseases where sample sizes are inherently very small. Moreover, rare disease populations are generally heterogeneous and widely dispersed, which complicates study enrollment and design. Leveraging all available information in rare and ultra-rare disease trials can improve both drug development and informed decision-making processes.

Main text

Bayesian statistics provides a formal framework for combining all relevant information at all stages of the clinical trial, including trial design, execution, and analysis. This manuscript provides an overview of different Bayesian methods applicable to clinical trials in rare disease. We present real or hypothetical case studies that address the key needs of rare disease drug development highlighting several specific Bayesian examples of clinical trials. Advantages and hurdles of these approaches are discussed in detail. In addition, we emphasize the practical and regulatory aspects in the context of real-life applications.

Conclusion

The use of innovative trial designs such as master protocols and complex adaptive designs in conjunction with a Bayesian approach may help to reduce sample size, select the correct treatment and population, and accurately and reliably assess the treatment effect in the rare disease setting.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13023-022-02342-5.

[Social media-Chances and risks for rheumatology]

Die Nutzung von sozialen Medien (Social Media) und sozialen Netzwerken (Social Networks) hat in den letzten Jahren stark zugenommen. Sie gewinnen als Informationskanäle sowohl im privaten als auch beruflichen Kontext immer mehr an Bedeutung. Auch in der Medizin werden Social Media bereits vielfältig eingesetzt. So sind Fachgesellschaften und Interessenverbände immer stärker in den sozialen Netzwerken vertreten. Durch die breite Nutzung und große Reichweite der Netzwerke ergeben sich neue Möglichkeiten auch für das Fach der Rheumatologie. Dieser Übersichtsartikel gibt einen Überblick über die Charakteristika einiger großer Social-Media-Plattformen und untersucht bisherige Publikationen aus diesem Themengebiet im Rahmen einer systematischen Analyse. Weiterhin werden Vorteile, aber auch potenzielle Risiken, die bei der Nutzung entstehen können, beschrieben.

Antigenicity and immunogenicity of HA2 and M2e influenza virus antigens conjugated to norovirus-like, VP1 capsid-based particles by the SpyTag/SpyCatcher technology

Virus-like particles (VLPs) modified through different molecular technologies are employed as delivery vehicles or platforms for heterologous antigen display. We have recently created a norovirus (NoV) VLP platform, where two influenza antigens, the extracellular domain of matrix protein M2 (M2e) or the stem domain of the major envelope glycoprotein hemagglutinin (HA2) are displayed on the surface of the NoV VLPs by SpyTag/SpyCatcher conjugation. To demonstrate the feasibility of the platform to deliver foreign antigens, this study examined potential interference of the conjugation with induction of antibodies against conjugated M2e peptide, HA2, and NoV VLP carrier. High antibody response was induced by HA2 but not M2e decorated VLPs. Furthermore, HA2-elicited antibodies did not neutralize the homologous influenza virus in vitro. Conjugated NoV VLPs retained intact receptor binding capacity and self-immunogenicity. The results demonstrate that NoV VLPs could be simultaneously used as a platform to deliver foreign antigens and a NoV vaccine.

A systematic literature review of ride-sharing platforms, user factors and barriers

Aim

Ride-sharing is an innovative on-demand transport service that aims to promote sustainable transport, reduce car utilization, increase vehicle occupancy and public transport ridership. By reviewing ride-sharing studies around the world, this paper aims to map major aspects of ride-sharing, including online platforms, user factors and barriers that affect ride-sharing services, and extract useful insights regarding their successful implementation.

Method

A systematic literature review is conducted on scientific publications in English language. Articles are eligible if they report a study on user factors affecting ride-sharing use and/or barriers preventing ride-sharing implementation; ride-sharing online platforms in these articles are also recorded and are further explored through their official websites. A database is built that organizes articles per author, year and location, summarizes online platform attributes, and groups user factors associated with the likelihood to ride-share.

Findings

The review shows that the term "ride-sharing" is used in the literature for both profit and non-profit ride-sharing services. In total, twenty-nine ride-sharing online platforms are recorded and analyzed according to specific characteristics. Sixteen user factors related to the likelihood to ride-share are recorded and grouped into sociodemographic, location and system factors. While location and system factors are found to follow a pattern among studies, mixed findings are recorded on the relationship between sociodemographic factors and ride-sharing. Factors that may hinder the development of ride-sharing systems are grouped into economic, technological, business, behavioral and regulatory barriers.

Conclusion

Opportunities exist to improve the quality of existing ride-sharing services and plan successful new ones. Future research efforts should focus towards studying ride-sharing users' trip purpose (i.e., work, university, shopping, etc.), investigating factors associated to ride-sharing before and after implementation of the service, and perform cross-case studies between cities and countries of the same continent to compare findings.

Digital transformation of major scientific meetings induced by the COVID-19 pandemic: insights from the ESC 2020 annual congress

As a consequence of the COVID-19 pandemic, the European Society of Cardiology (ESC) was forced to pivot the scientific programme of the ESC Congress 2021 into a totally new format for online consumption, The Digital Experience. A variety of new suppliers were involved, including experts in TV studio, cloud infrastructure, online platforms, video management, and online analytics. An information technology platform able to support hundreds of thousands simultaneous connections was built and cloud computing technologies were put in place to help scale up and down the resources needed for the high number of users at peak times. The video management system was characterized by multiple layers of security and redundancy and offered the same fluidity, albeit at a different resolution, to all user independently of the performance of their internet connection. The event, free for all users, was an undisputed success, both from a scientific/educational as well as from a digital technology perspective. The number of registrations increased by almost four-fold when compared with the 2019 record-breaking edition in Paris, with a greater proportion of younger and female participants as well as of participants from low- and middle-income countries. No major technical failures were encountered. For the first time in history, attendees from all around the globe had the same real-time access to the world's most popular cardiovascular conference.

Design and establishment of a large-scale controlled ecological life-support system integrated experimental platform

A Controlled Ecological Life-Support System (CELSS) can meet the demands of food, oxygen, and water for human, as well as providing psychological benefits during deep space exploration by the continuous materials regeneration. Many key techniques of the platform are needed to explore before applying to the extraterrestrial planets. In this study, a large-scale CELSS integrated experimental platform was designed and constructed to meet the basic life-support material demands of six crew members (max). The platform was composed of four kinds of cabins including Crew Cabin (CC), Plant Cabin (PC), Life-Support Cabin (LSC), Resource Recycling Cabin (RRC) and affiliated facilities. Eight cabins were involved in the platform, i.e., CCs I and II, PCs I, II, III and IV, LSC, and RRC. The platform involved 15 subsystems and covered a plant culture area of 206.6 m² (a max extensible area of 260 m²) and a total volume of 1340 m³. The joint debuggings and the 4-subject 180-day CELSS integration experiment were carried out successfully. The material closures were 55% (on average) for food (70.8% in highly efficient production period), 100% for atmospheric regeneration, 100% for water regeneration, and 87.7% for recycled solid waste in the 4-subject 180-day integration experiment. It verified that the indicators of the platform meet the technical requirements and realize food regeneration, air regeneration and water regeneration through the integration of physico-chemical technique and biological technique for the long-term survivals of six crew members in the closed cabins.

The COVID-19 Outpatient Pragmatic Platform Study (COPPS): Study design of a multi-center pragmatic platform trial

More than 3000 clinical trials related to COVID-19 have been registered through clinicaltrials.gov. With so many trials, there is a risk that many will be inconclusive due to being underpowered or due to an inability to recruit patients. At academic medical centers, multiple trials are competing for the same resources; the success of one may come at the expense of another. The COVID-19 Outpatient Pragmatic Protocol Study (COPPS) is a flexible phase 2, multi-site, randomized, blinded trial based at Stanford University designed to overcome these issues by simultaneously evaluating multiple COVID-19 treatments in the outpatient setting in one common platform with shared controls. This approach reduces the overall number of patients required for statistical power, while improving the likelihood that any enrolled patient receives active treatment. The platform study has two main domains designed to evaluate COVID-19 treatments by assessing their ability to reduce viral shedding (Viral Domain), measured with self-collected nasal swabs, or improve clinical outcomes (Clinical Domain), measured through self-reported symptomology data. Data are collected on both domains for all participants enrolled. Participants are followed over a 28-day period. COPPS has the advantage of pragmatism created around its workflow that is also appealing to potential participants because of a lower probability of inactive treatment. At the conclusion of this clinical trial we expect to have identified potentially effective therapeutic strategy/ies for treating COVID-19 in the outpatient setting, which will have a transformative impact on medicine and public health.

Fundamental challenges in assessing the impact of research infrastructure

Clinical research infrastructure is one of the unsung heroes of the scientific response to the current COVID-19 pandemic. The extensive, long-term funding into research support structures, skilled people, and technology allowed the United Kingdom research response to move off the starting blocks at pace by utilizing pre-existing platforms. The increasing focus from funders on evaluating the outcomes and impact of research infrastructure investment requires both a reframing and progression of the current models in order to address the contribution of the underlying support infrastructure. The majority of current evaluation/outcome models focus on a "pipeline" approach using a methodology which follows the traditional research funding route with the addition of quantitative metrics. These models fail to embrace the complexity caused by the interplay of previous investment, the coalescing of project outputs from different funders, the underlying infrastructure investment, and the parallel development across different parts of the system. Research infrastructure is the underpinning foundation of a project-driven research system and requires long-term, sustained funding and capital investment to maintain scientific and technological expertise. Therefore, the short-term focus on quantitative metrics that are easy to collect and interpret and that can be assessed in a roughly 5-year funding cycle needs to be addressed. The significant level of investment in research infrastructure necessitates investment to develop bespoke methodologies that develop fit-for-purpose, longer-term/continual approach(es) to evaluation. Real-world research should reflect real-world evaluation and allow for the accrual of a narrative of value indicators that build a picture of the contribution of infrastructure to research outcomes. The linear approach is not fit for purpose, the research endeavour is a complex, twisted road, and the evaluation approach needs to embrace this complexity through the development of realist approaches and the rapidly evolving data ecosystem. This paper sets out methodological challenges and considers the need to develop bespoke methodological approaches to allow a richer assessment of impact, contribution, attribution, and evaluation of research infrastructure. This paper is the beginning of a conversation that invites the community to "take up the mantle" and tackle the complexity of real-world research translation and evaluation.

Integration of Educational Technology

Continued advancement has forced medical education to accept new ways in which to incorporate technology into its curriculum. As a result, technology has become a cornerstone to all levels of the medical education. This article compiles and discusses various avenues in which technology serves and betters education, ranging from administrative databases to cloud-based storage. Overall, technology can serve various educational purposes, including compilation, circulation, and integration of educational materials. The modalities discussed within this article, while numerous and adaptable, are a small portion of what the technological world has to offer.

A Novel Intraoperative Brain Mapping Integrated Task-Presentation Platform

BACKGROUND

To be efficient, intraoperative task-presentation systems must accurately present various language and cognitive tasks to patients undergoing awake surgery, and record behavioral data without compromising convenience of surgery.

OBJECTIVE

To present an integrated brain mapping task-presentation system we developed and evaluate its effectiveness in intraoperative task presentation.

METHODS

The Brain Mapping Interactive Stimulation System (Brain MISS) is a flexible task presentation system that adjusts for patient comfort, needs of the surgeon, and operating team, with multivideo recording for patients' behavior. A total of 48 patients from 3 centers underwent intraoperative language task test during awake brain surgery with the Brain MISS. Each patient was assigned 5 questions each on picture naming, reading, and listening comprehension before and during awake surgeries. The accuracy of intraoperative stimulus-response (without electrical stimulation) was recorded. The Brain MISS was to be considered effective, if the lower limit of 95% CI of patients' intraoperative response was ≥80% and also if the accuracy of intraoperative response of all patients was statistically higher than 80%.

RESULTS

All patients successfully underwent intraoperative assessment with the Brain MISS. The overall accuracy of stimulus response was 95.8% (95% CI 90.18%-100.00%), with the lower limit being higher than 80% and the response accuracy also significantly being higher than 80% in all patients (P = .006).

CONCLUSION

The Brain MISS is a portable and effective system for presenting and streamlining complicated language and cognitive tasks during awake surgery. It can also record standardized patient response data for neuroscientific research.

Luciferase-Specific Coelenterazine Analogues for Optical Cross Talk-Free Bioassays

Spectral overlaps in fluorescence (FL) and bioluminescence (BL) commonly cause optical cross talks. The present protocol introduces five different lineages of coelenterazine (CTZ) analogues, which have selectivity to a specific luciferase, and thus cross talk-free. For example, some CTZ analogues with ethynyl or styryl groups display dramatically biased BL to specific luciferases and pH by modifying the functional groups at the C-2 and C-6 positions of the imidazopyridinne backbone of CTZ. The optical cross talk-free feature is exemplified with the multiplex system, which simultaneously illuminated antiestrogenic and rapamycin activities without optical cross talks. This unique protocol contributes to specific and high-throughput BL imaging of multiple optical readouts in mammalian cells without optical contamination.

Development of a platform-based approach for the clinical production of HIV gp120 envelope glycoprotein vaccine candidates

Preclinical development of vaccine candidates is an important link between the discovery and manufacture of vaccines for use in human clinical trials. Here, an exploratory clinical study utilizing multiple gp120 envelope proteins as vaccine antigens was pursued, which required a harmonized platform development approach for timely and efficient manufacture of the combined HIV vaccine product. Development of cell lines, processes, and analytical methods was initiated with a transmitted founder envelope protein (CH505TF), then applied to produce three subsequent gp120 Env (envelope) variants. Cell lines were developed using the commercially available Freedom CHO DG44 kit (Life Technologies). The fed-batch cell culture production process was based on a commercially-available medium with harmonized process parameters across the variants. A platform purification process was developed utilizing a mixed mode chromatography capture step, with ceramic hydroxyapatite and ion exchange polishing steps. A suite of analytical methods was developed to establish and monitor the Quality Target Profile (QTP), release and long-term stability testing of the vaccine products. The platform development strategy was successfully implemented to produce four gp120 envelope protein variants. In some cases, minor changes to the platform were required to optimize for a particular variant; however, baseline conditions for the processes (cell line type, media & feed system, chromatography resins, and analytical approaches) remained constant, leading to successful transfer and manufacture of all four proteins in a cGMP facility. This body of work demonstrates successful pursuit of a platform development approach to manufacture important vaccine candidates and can be used as a model for other vaccine glycoproteins, such as HIV gp140 trimers or other viral glycoproteins with global health implications. Clinical trial identifier. NCT03220724, NCT03856996.

Demolition and construction recycling unified management: the DECORUM platform for improvement of resource efficiency in the construction sector

The construction and public work sectors are faced with a series of challenges that will need to be addressed in moving towards an effective circular economy model. The aim of this work was to develop a simple but holistic approach to the management of construction projects in order to ensure compliance with technical standards and environmental criteria right from the set-up phase and to foster an increased use of recycled materials and saving of natural resources. To achieve this goal, a multi-user platform was designed and developed to manage and control all stages and procedures of public work and provide support to all those involved throughout the various stages of implementation. The platform included (1) technical standards; (2) environmental law; (3) databases; (4) technical specifications for public tenders; (5) a tool to assess environmental impacts and circularity; (6) a marketplace to facilitate and transparently manage trading of natural, artificial, and recycled aggregates; (7) interactive catalogues with declarations of building products; and (8) interactive maps for the geolocation of treatment plants, producers, and construction sites. The platform, currently undergoing validation by public administrations, will represent a valuable tool for use in enabling public work contractors to reduce environmental impacts, promote an informed and transparent use of recycled products, and to encourage a more sustainable use of natural resources. The platform will facilitate the application of green public procurement (GPP) which, although mandatory in several countries (e.g., in Italy), continues to encounter a series of problems in implementation. The platform will also enhance compliance with technical standards and minimum environmental criteria (MEC), as recently defined for buildings and road construction and maintenance, thus expanding the market for artificial and recycled aggregates with certified products and guaranteed quality.

Comparison between MGI and Illumina sequencing platforms for whole genome sequencing

BACKGROUND

Illumina next generation sequencing (NGS) systems are the major sequencing platform in worldwide next-generation sequencing market. On the other hand, MGI Tech launched a series of new NGS equipment that promises to deliver high-quality sequencing data faster and at lower prices than Illumina's sequencing instruments.

OBJECTIVE

In this study, we compared the performance of the two platform's major sequencing instruments-Illumina's NovaSeq 6000 and MGI's MGISEQ-2000 and DNBSEQ-T7-to test whether the MGISEQ-2000 and DNBSEQ-T7 sequencing instruments are also suitable for whole genome sequencing.

METHODS

We sequenced two pairs of normal and tumor tissues from Korean lung cancer patients using the three platforms. Then, we called single nucleotide variants (SNVs) and insertion and deletion (indels) for somatic and germline variants to compare the performance among the three platforms.

RESULTS

In quality control analysis, all of the three platforms showed high-quality scores and deep coverages. Comparison among the three platforms revealed that MGISEQ-2000 is most concordant with NovaSeq 6000 for germline SNVs and indels, and DNBSEQ-T7 is most concordant with NovaSeq 6000 for somatic SNVs and indels.

CONCLUSIONS

These results suggest that the performances of the MGISEQ-2000 and DNBSEQ-T7 platforms are comparable to that of the Illumina NovaSeq 6000 platform and support the potential applicability of the MGISEQ-2000 and DNBSEQ-T7 platforms in actual genome analysis fields.

High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement

Development of high-throughput phenotyping technologies has progressed considerably in the last 10 years. These technologies provide precise measurements of desired traits among thousands of field-grown plants under diversified environments; this is a critical step towards selection of better performing lines as to yield, disease resistance, and stress tolerance to accelerate crop improvement programs. High-throughput phenotyping techniques and platforms help unraveling the genetic basis of complex traits associated with plant growth and development and targeted traits. This review focuses on the advancements in technologies involved in high-throughput, field-based, aerial, and unmanned platforms. Development of user-friendly data management tools and softwares to better understand phenotyping will increase the use of field-based high-throughput techniques, which have potential to revolutionize breeding strategies and meet the future needs of stakeholders.

A Stereotactic Device for Intraparenchymal Spinal Cord Injections: Latest Developments for Practical Clinical Use

This manuscript introduces the latest generation of a patient-mounted platform designed for segmental injections of therapeutics direct into the spinal cord parenchyma. It emphasizes its importance and it presents the rationale for developing this delivery methodology. It compares the newest with the previous generations, detailing how the modifications can streamline transportation, assembly, sterilization, and utilization of the platform by different surgeons. Finally, the illustrations depict the main alterations, as well as a cadaveric assessment of the device prototype in the cervical and thoracolumbar regions.

Sustained-hepatic arterial infusion of oxaliplatin: pharmacokinetic advantages over hepatic arterial infusion using a preclinical animal tumour model

Hepatic arterial infusion (HAI) of oxaliplatin allows greater liver tumour drug exposure compared to systemic infusion. However, the therapeutic index of HAI oxaliplatin remains poor. Using Pickering emulsion technology, we developed a platform able to provide sustained releases of oxaliplatin. The goal of this study was to evaluate the pharmacokinetic advantages of sustained-HAI oxaliplatin over HAI using a preclinical animal tumour model. Injections of 0.6 mg oxaliplatin in 20 min were selectively done in left hepatic arteries of 20 rabbits bearing a VX2 liver tumour in the middle left-lobe, using HAI (n = 10) or sustained-HAI (n = 10). In each group, half of the rabbits were sacrificed at 24 h and half at 72 h. Mass spectrometry was used to quantify drug pharmacokinetics in blood and oxaliplatin concentrations in tumour tissues, right- and middle left-liver lobes, spleen and lung. Compared to HAI, sustained-HAI of oxaliplatin resulted in lower plasmatic peak (Cmax: 275 ± 41 vs. 416 ± 133 ng/mL, p = 0.02) and higher concentration in the tumour at 24 h (2118 ± 2107 vs. 210 ± 93 ng/g, p = 0.008). After HAI, oxaliplatin concentration in tumours was significantly higher than in lung at 24 h (p = 0.03) but no other difference was found between oxaliplatin concentrations in tumours and in liver lobes, spleen or lung, neither at 24 h nor at 72 h. On the opposite, sustained-HAI resulted in higher concentrations of oxaliplatin in tumour compared to oxaliplatin concentrations in the middle left lobe (163 ± 86 ng/g at 24 h, p = 0.01, and 90 ± 15 ng/g at 72 h, p = 0.04), right lobe (174 ± 112 ng/g at 24 h, p = 0.01, and 112 ± 35 ng/g, p = 0.04 at 72 h), spleen (142 ± 21 ng/g at 24 h, p = 0.01, and 98 ± 12 ng/g at 72 h, p = 0.04), and lung (85 ± 11 ng/g at 24 h, p = 0.01, and 52 ± 4 ng/g at 72 h, p = 0.03). Sustained-HAI improves the therapeutic index of HAI oxaliplatin and offers a great potential for patients suffering from unresectable colorectal liver metastases or hepatocellular carcinoma.

COVID-19 in humanitarian settings: documenting and sharing context-specific programmatic experiences

Humanitarian organizations have developed innovative and context specific interventions in response to the COVID-19 pandemic as guidance has been normative in nature and most are not humanitarian specific. In April 2020, three universities developed a COVID-19 humanitarian-specific website (www.covid19humanitarian.com) to allow humanitarians from the field to upload their experiences or be interviewed by academics to share their creative responses adapted to their specific country challenges in a standardised manner. These field experiences are reviewed by the three universities together with various guidance documents and uploaded to the website using an operational framework. The website currently hosts 135 guidance documents developed by 65 different organizations, and 65 field experiences shared by 29 organizations from 27 countries covering 38 thematic areas. Examples of challenges and innovative solutions from humanitarian settings are provided for triage and sexual and gender-based violence. Offering open access resources on a neutral platform by academics can provide a space for constructive dialogue among humanitarians at the country, regional and global levels, allowing humanitarian actors at the country level to have a strong and central voice. We believe that this neutral and openly accessible platform can serve as an example for future large-scale emergencies and epidemics.

Selling secondhand products through an online platform with blockchain

We examine the value of blockchain for disclosing secondhand product quality in a supply chain in which contributors consign secondhand products to an online platform that resells them and competes with suppliers of new products. We find that the platform is more likely to provide a uniform (differential) pricing strategy with new products when the revenue sharing portion of the consignment contract is sufficiently low (high). Moreover, surprisingly, without blockchain, the platform prefers moderately perceived and true quality secondhand products, instead of extremely high or low quality. With blockchain, the platform prefers selling low-uniqueness and low-quality (or high-uniqueness and high-quality) secondhand products. Furthermore, we find that with blockchain, horizontal integration is more effective in improving the supply chain's total profit. A win-win-win outcome can be achieved for the platform, the supplier, and consumers in a supply chain that sells low-uniqueness products.

[Health Data Hub in France, use cases in oncology and radiation oncology]

Health data financed by the French national solidarity system constitute a common heritage. Such data should be exploited to optimize care while complying with ethics and fundamental rights of citizens. The creation of the Health Data Hub (HDH) was allowed by the 24 July 2019 Law on the organization and transformation of the French health system. Its objective is to enable authorized innovative project leaders to access non-nominative data via a state-of-the-art secure technological platform. It appears to be one of the strong points of the French Artificial Intelligence strategy. This structure is a public interest group which associates 56 stakeholders, mostly from the public authorities. It implements, in partnership with the National Health Insurance Fund, the major strategic orientations relating to the National Health Data System set by the French State and the Ministry of Solidarity and Health. The Health Data Hub allows cross-reference of consolidated databases with SNDS data. Several use cases are under construction. The creation of relational databases in radiation oncology is also possible through specific strategies to get pseudonymized data from the various radiotherapy software programs upstream of the Health Data Hub.

Development of a semi-structured, multifaceted, computer-aided questionnaire for outbreak investigation: e-Outbreak Platform

Aggressive tracing of contacts of confirmed cases is crucial to Taiwan's successful control of the early spread of COVID-19. As the pandemic lingers, an epidemiological investigation that can be conducted efficiently in a timely manner can help decrease the burden on the health personnel and increase the usefulness of such information in decision making. To develop a new tool that can improve the current practice of epidemiological investigation by incorporating new technologies in digital platform and knowledge graphs. To meet the various needs of the epidemiological investigation, we decided to develop an e-Outbreak Platform that provides a semi-structured, multifaceted, computer-aided questionnaire for outbreak investigation. There are three major parts of the platform: (1) a graphic portal that allows users to have an at-glance grasp of the functions provided by the platform and then choose the one they need; (2) disease-specific questionnaires that can accommodate different formats of the information, including text typing, button selection, and pull-down menu; and (3) functions to utilize the stored information, including report generation, statistical analyses, and knowledge graphs displaying contact tracing. When the number of outbreak investigation increases, the knowledge graphs can be extended to encompass other persons appearing in the same location at the same time, i.e., constituting a potential contact cluster. The information extracted can also be used to display the tracing on a map in animation. Overall, this system can provide a basis for further refinement that can be generalized to a variety of outbreak investigations.

Polyethylene spinout in the Attune® Cruciate-Retaining Rotating-Platform (CR RP) total knee arthroplasty performed with a cruciate-sacrificing and measured-resection technique

INTRODUCTION

Polyethylene (PE) spinout is a known but uncommon complication when using a mobile-bearing (MB) total knee arthroplasty (TKA) design. Sacrificing the posterior cruciate ligament (PCL) is within the manufacturer's recommendations for the Attune® Cruciate-Retaining Rotating-Platform (CR RP) knee design.

AIM

To discuss the potential aetiology and prevention of spinout in the Attune® CR RP knee.

METHODS

We used a retrospective radiological review from two centres reporting a higher rate of spinout in the Attune® CR RP knee using a cruciate-sacrificing and measured-resection technique when compared to a gap-balancing technique. Three hundred and thirty-two patients were evaluated over a 3-year period.

RESULTS

There were 8 out of 279 (2.86%) cases of spinout in our first cohort of patients using a measured-resection technique. There were 0 out of 53 cases of spinout in our second cohort of patients where a gap-balancing technique was used. One spinout was reduced closed, the other seven were initially revised to a thicker RP insert of the same design. Of these seven, three underwent a further revision TKA and one patient required a knee fusion/arthrodesis.

CONCLUSIONS

This study reports a higher incidence of PE spinout in the Attune® CR RP TKA when a measured-resection technique in combination with PCL resection is performed. We recommend a gap-balancing technique with conservative soft-tissue release if the surgeon is planning to sacrifice the PCL in the Attune® CR RP.

Establishment and application of the National Parasitic Resource Center (NPRC) in China

The National Parasitic Resource Center (NPRC) was created in 2004. It is a first-level platform under the Basic Condition Platform Center of the Ministry of Science and Technology of China. The resource centre involves 21 depository institutions in 15 regions of the country, including human parasite and vector depository, animal parasite depository, plant nematode characteristic specimen library, medical insect characteristic specimen library, trematode model specimen library, parasite-vector/snail model specimen library, etc. After nearly 15 years of operation, the resource centre has been built into a physical library with a database of 11 phyla, 23 classes, 1115 species and 117,814 pieces of parasitic germplasm resources, and three live collection bases of parasitic germplasm resources. A variety of new parasite-related immunological and molecular biological detection and identification technologies produced by the resource centre are widely used in the fields of public health responses, risk assessments on food safety, and animal or plant quarantine. The NPRC is the largest and top level resource centre on parasitology in China, and it is a leading technology platform for collecting and identifying parasitic resources.

SciKit-Surgery: compact libraries for surgical navigation

Purpose

This paper introduces the SciKit-Surgery libraries, designed to enable rapid development of clinical applications for image-guided interventions. SciKit-Surgery implements a family of compact, orthogonal, libraries accompanied by robust testing, documentation, and quality control. SciKit-Surgery libraries can be rapidly assembled into testable clinical applications and subsequently translated to production software without the need for software reimplementation. The aim is to support translation from single surgeon trials to multicentre trials in under 2 years.

Methods

At the time of publication, there were 13 SciKit-Surgery libraries provide functionality for visualisation and augmented reality in surgery, together with hardware interfaces for video, tracking, and ultrasound sources. The libraries are stand-alone, open source, and provide Python interfaces. This design approach enables fast development of robust applications and subsequent translation. The paper compares the libraries with existing platforms and uses two example applications to show how SciKit-Surgery libraries can be used in practice.

Results

Using the number of lines of code and the occurrence of cross-dependencies as proxy measurements of code complexity, two example applications using SciKit-Surgery libraries are analysed. The SciKit-Surgery libraries demonstrate ability to support rapid development of testable clinical applications. By maintaining stricter orthogonality between libraries, the number, and complexity of dependencies can be reduced. The SciKit-Surgery libraries also demonstrate the potential to support wider dissemination of novel research.

Conclusion

The SciKit-Surgery libraries utilise the modularity of the Python language and the standard data types of the NumPy package to provide an easy-to-use, well-tested, and extensible set of tools for the development of applications for image-guided interventions. The example application built on SciKit-Surgery has a simpler dependency structure than the same application built using a monolithic platform, making ongoing clinical translation more feasible.

Construction of a new thermophilic fungus Myceliophthora thermophila platform for enzyme production using a versatile 2A peptide strategy combined with efficient CRISPR-Cas9 system

OBJECTIVE

To construct a new thermophilic platform for glucoamylase production through 2A peptide strategy combined with CRISPR-Cas9 system using Myceliophthora thermophila as host, thermophilic filamentous fungus with industrial attractiveness to produce enzymes and chemicals from biomass.

RESULTS

We adapted the viral 2A peptide approach for M. thermophila and constructed a bicistronic vector for co-expressing two heterologous genes MhglaA and egfp. We obtained positive transformants OE-MhglaA-gfp overexpressing MhGlaA-9 ×His-2A-eGFP through convenient fluorescence screening, western blotting and RT-qPCR. We purified and characterized the recombinant MhGlaA, which exhibited stability in a broader pH range of 3.0-9.0 and thermostable stability at 65 °C, suggesting its potential industrial application. Furthermore, to improve glucoamylase secretion, we genetically engineered the obtained strain OE-MhglaA-gfp through our efficient CRISPR/Cas9 system and generated the quintuple mutant OE-MhglaA-gfpOE-amyRΔalp-1Δres-1Δcre-1, in which protein productivity and amylase activity were increased by approximately 12.0- and 8.2-fold compared with WT.

CONCLUSIONS

The 2A peptide approach worked well in M. thermophila and can be used to heterologously co-express two different proteins, and thus in combination with efficient CRISPR-Cas system will accelerate establishing hyper-secretion platforms for biotechnological applications.

Immediate Effects of Intermittent Bilateral Ankle Plantar Flexors Static Stretching on Balance and Plantar Pressures

OBJECTIVE

The purpose of this study was to analyze the immediate effects of an intermittent plantar flexion static-stretching protocol on balance and plantar pressures.

METHODS

The study included a sample size of 24 healthy participants (21 female and 3 male). Participants were 32.20 ± 8.08 years, 166.20 ± 8.43 cm, and 62.77 ± 9.52 kg. All participants performed an intermittent plantar flexion static-stretching protocol. Five sets (60 seconds intermittent stretch; 15 seconds for the rest time) of a passive plantar flexor stretching (70% to 90% of the point of discomfort) were performed. Static footprint analysis and a stabilometry analysis were performed before and after stretching. A P value < .05 with a CI of 95% was considered statistically significant for all tests.

RESULTS

Intermittent ankle plantar static stretching resulted in a significantly greater forefoot surface contact area and lower rear foot medium and maximum plantar pressures. In addition, static stretching caused a lower displacement of the center of pressure for both eyes open and eyes closed conditions.

CONCLUSION

An intermittent plantar flexor static-stretching protocol improved balance and reduced rear foot plantar pressures (maximum and medium pressures).