Smart City Construction Visual Simulation Application Based on Intelligent BIM Technology

This paper takes a project comprehensive office building project of Chaoyang financial center as an example, based on the construction visualization requirements of BIM technology, this paper analyzes the modeling requirements and Suggestions applicable to the project. With the help of Revit modeling software, the architecture and structure model of the whole drawing and three floors underground and two floors above ground electromechanical model are completed. There is a collision detection between the structural and electromechanical subject model that be established by Navisworks Manage 2016 software, also, the paper analyzes the causes of the collision and puts forward corresponding solutions, and find out the problems in the model and make changes in time, which prepare the model for the construction visualization simulation application. On this basis, the construction progress plan set up by Microsoft Project 2013 was carried out and related to the three-dimensional (3D) parameterized model components, which implement the visual simulation of the construction process of research and the 4D simulation of construction process of the project. What’s more, the application of visualization simulation based on BIM technology can greatly reduce the occurrence of changes and rework in actual construction, thus greatly improving the efficiency of construction work.11

Malignant acanthosis nigricans and diseases with extensive oral papillary hyperplasia

Oral papillary lesions represent a variety of developmental and neoplastic conditions. Early diagnoses of different papillary lesions are challenging for oral medicine specialists. Malignant acanthosis nigricans (MAN) is a rare cutaneous disorder and a potential marker of underlying hidden tumours. It is characterized by papillary lesions that always involve the oral mucosa. In oral medicine specialities, MAN is not well understood. When the early signs of MAN are extensive oral lesions and slight cutaneous pigmentation without obvious florid cutaneous papillomatosis, the diagnosis can be incorrect or delayed. Oral medicine specialists should ask affected patients to provide details of their medical history and conduct a timely systemic examination.

Transcriptome analysis of oviduct in laying ducks under different stocking densities

1. High stocking densities can lead to animal stress responses and lead to changes in bird behaviour, egg production and the fertility of laying birds. The oviduct plays a crucial role during the process of laying eggs. Therefore, it is essential to know how high stocking density affects oviduct function.2. In this study, a total of 2,115 differentially expressed genes (DEGs) were identified in duck oviduct tissues between different stocking density groups. These genes are mainly enriched in membrane components, calcium ion binding, cytokine-cytokine receptor interaction and focal adhesion. These pathways were closely related to the formation of eggs. This indicated that secretion and material transport functions of the oviduct are affected under high-density stocking. Further analysis showed that a total of 408 genes related to the transportation process were expressed in the oviduct, of which 96 genes were differentially expressed (LogFC≥1, P < 0.05). Forty-two of these DEGs belonged to the solute carrier family. The data showed that the expression of 31 transcripts was different between the two density groups. Expression of KCNJ15, SLC26A8, and TRPM5 was only seen in the high-density group (8/m²), while ATP13A3 and KCNIP2 were only expressed in the low-density group (4/m²).3. Consequently, high stocking density may affect the expression and splicing of genes related to molecular transport in the oviduct.

Clinical Analysis and Proteomic Screening Biomarkers for Graft-Versus-Host Disease After Liver Transplant

OBJECTIVES

Graft-versus-host disease is a serious, fatal complication following liver transplantation. The diagnosis is challenging, owing to nonspecific clinical features and invasive procedures. High-throughput proteomics could provide an effective approach to identifying potential serum biomarkers for graft-versus-host disease.

MATERIALS AND METHODS

We retrospectively analyzed the clinical information of 3 patients with graft-versus-host disease treated at our center from 2016 to 2018. We compared serum samples from the 3 patients with the disease, patients with excellent posttransplant outcomes, and healthy controls using mass spectrometry-based proteomics in discovery study. Probable peptides were further identified by a tandem mass spectrometry system and verified by enzyme-linked immunosorbent assay.

RESULTS

Of 343 patients, 3 patients (0.875%) had graft-versus-host disease. Two of these patients died of sepsis and multiorgan failure despite intensive therapy. We observed no correlation between severity of clinical manifestation and prognosis; however, the patients with graft-versus-host disease had early onset and infection and showed worse outcome. Serum peptidome profiling showed 65 differentially expressed peaks among the 3 groups; the 2 peptides with the most significant changes (m/z values of 1950.29 and 2088.16) were further sequenced and identified as ATP citrate lyase and fibrinogen alpha chain. Western blot and enzyme-linked immunosorbent assay showed that both peptides gradually decreased among all groups.

CONCLUSIONS

Graft-versus-host disease is a complication of organ and tissue transplantation with a high mortality rate. Our identification of potential biomarkers for graft-versus-host disease associated with liver transplant may aid in diagnosis and help to reduce patient mortality in those cases.

Early maternal deprivation impairs learning and memory and alters hippocampal gene expression in adult male rats

Maternal deprivation (MD) in early life severely disrupts hippocampal development, leading to persistent cognitive and behavior deficits. The current study uncovered that early MD (P1-P21) impaired spatial learning and memory capacity detected by Morris water maze (MWM) tests from juvenile (P31) to adult (P81) rats compared to age-matched controls. And the protein expression in hippocampus were detected by two-dimensional gel electrophoresis (2-DE) before MWM, respectively. Protein changes in hippocampal were examined to identify the molecular pathways underlying MD-induced hippocampal dysfunction. There were 11 differentially expressed proteins analyzed between adult MD and control male rats, while the 8 proteins were then identified by UPLC-ESI-Q-TOF-MS. Gene Ontology (GO) annotations of the identified proteins were related to neuronal and glial cytoskeletal dynamics, membrane signaling, stress responses, biosynthesis, and metabolism. The different expression proteins spectrin alpha chain, non-erythrocytic 1 (Sptan1), ATP-citrate synthase (Acly), and heat shock protein 90-alpha (Hsp90aa1) have been verified by western blot analysis, and their expression levels showed consistent with 2-DE analysis. In addition, glial fibrillary acidic protein (GFAP) was also found reduced in adult hippocampus of MD rats. This study identifies candidate proteins encompassing a range of functional categories that may contribute to persistent learning and memory deficits due to early life MD.

[Establishment of naive Bayes classifier-based risk prediction model for chemotherapyinduced nausea and vomiting]

OBJECTIVE

To establish a risk prediction model of chemotherapy-induced nausea and vomiting based on naive Bayes classifier.

OBJECTIVE

We collected the basic information, treatment protocols and follow-up data from 300 patients receiving chemotherapy in the Oncology Department of Second Xiangya Hospital from July to September, 2020. Correlation analysis was carried out between the potential factors related to nausea and vomiting in the treatment plan and the individual characteristics of the patients. For the two characteristics with a correlation coefficient greater than 0.8, their contribution to the area under curve (AUC) was calculated, and the characteristic with a smaller contribution was removed. The naive Bayes classifier in the machine learning library scikit-learn was used as the prediction model of chemotherapy-induced nausea and vomiting, and 10-fold stratified-shuffled-split cross-validation was used to obtain the final result of the model. The machine learning model was trained using 70% of the samples, and 30% of the samples were used as the test set to assess the performance of the model.

OBJECTIVE

The sensitivity of the model for predicting the risk of nausea and vomiting due to acute chemotherapy was 0.83±0.04 (95%CI: 0.80-0.86) with a specificity of 0.45±0.03 (95%CI: 0.42-0.47) and an AUC of 0.72±0.04 (95% CI: 0.69-0.75). The sensitivity of the model for predicting the risk of delayed chemotherapy-induced nausea and vomiting was 0.84±0.01 (95%CI: 0.83-0.86) with a specificity of 0.48±0.03 (95%CI: 0.45-0.52) and an AUC of 0.74±0.02 (95%CI: 0.72-0.77).

OBJECTIVE

The naive Bayes classifier model has a good performance in predicting the risk of chemotherapy-induced nausea and vomiting in Chinese cancer patients.

Small RNA sequencing reveals miRNAs important for hypoxic adaptation in the Tibetan chicken

1. The Tibetan chicken, which is an indigenous breed living on the Tibetan Plateau, exhibits hypoxic adaptations to its high-altitude environment. However, the molecular mechanism behind this hypoxic adaptation is still unclear. This study aimed to investigate differentially expressed miRNAs involved in hypoxic adaptation through high-throughput RNA sequencing. 2. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to verify the differentially expressed miRNAs and their target genes in chicken embryonic heart tissues and fibroblasts. Luciferase reporter assays were performed to confirm the relationship between miRNAs and target genes. 3. The study identified 37 differentially expressed miRNAs in Tibetan chicken embryonic heart tissues, including 20 up- and 17 down-regulated miRNAs, compared to those found in lowland chickens. Differentially expressed miRNAs were mainly involved in biological processes, such as cell cycle arrest, toll-like receptor signalling pathways, and I-kappa B kinase/NF-kappa B signalling. The data showed that gga-miR-34 c-5p was significantly upregulated in Tibetan chicken tissues and hypoxic fibroblasts, while EHHADH, a target gene of gga-miR-34 c-5p, was downregulated. Moreover, gga-miR-34 c-5p dramatically decreased the luciferase activity of the wild EHHADH, whereas no effect on the mutational EHHADH was found. 4. This study identified miRNA expression profiles in the Tibetan chicken and suggested that miR-34 c-5p acts as a novel miRNA associated with hypoxic adaptation. This facilitates the understanding of molecular mechanisms that underlie long-term exposure to hypoxia.

[Effect of pedicled thoracodorsal artery perforator flap on the repair of moderate to severe axillary scar contracture deformity]

Objective: To investigate the effect of pedicled thoracodorsal artery perforator (TDAP) flap on the repair of axillary moderate to severe scar contracture deformity. Methods: From January 2012 to January 2017, 29 patients with axillary moderate to severe scar contracture deformity were admitted to the the Second Xiangya Hospital of Central South University, including 18 females and 11 males, aged 14-42 years. There were 3 patients with cicatricial contracture deformity of bilateral axillas and 26 patients with cicatricial contracture deformity of unilateral axilla. After relevant preoperative examinations were completed and basic diseases were controlled, axillary scar was removed or released under the anesthesia of endotracheal intubation. The areas of wounds ranged from 7.5 cm×5.0 cm to 21.0 cm×8.5 cm after the operation. The pedicled TDAP flaps were used to repair the defects, which were thinned based on demand of the recipient sites before being transferred. The areas of flaps ranged from 9.0 cm×6.0 cm to 22.0 cm×10.0 cm. The donor sites were sutured directly. The status of thinned flaps, the survival of flaps after the operation and during follow-up, and the shoulder joint function during follow-up were observed. Results: Thirty-two pedicled TDAP flaps were harvested for repairing the defects. Among them, 14 flaps were transferred directly without thinning and the thickness of the flaps ranged from 9.0 mm to 15.0 mm, with average thickness of 13.6 mm.While the other 18 flaps were thinned, and the thickness of the thinned flaps ranged from 5.0 mm to 8.0 mm, with average thickness of 7.5 mm. The distal parts of 3 flaps in 3 patients showed small size of blackening or necrosis within 72 hours after the operation, and 2 of them were thinned and the other one was not. Finally, the 3 flaps were healed after hyperbaric oxygen therapy, dressing change, or other treatments. One flap occurred vein congestion 8 hours after the operation caused by pressure on the pedicle, and the color of the flap turned back to normal after the pressure was relieved. The rest of the flaps survived well. All the patients were followed up for 9 to 36 months, with an average of 18 months. All the flaps survived well, the color of the flaps was nearly the same as the recipient sites, and none of the flaps developed obvious contraction. The shoulder joint function of all patients was significantly improved compared with that before operation, with abduction angles of shoulder joints ranged from 90.0-145.0°, with an average of 130.0°. Conclusions: Pedicled TDAP flap is an relatively ideal choice for the repair of moderate to severe axillary scar contracture deformity, and better results will be achieved if the flaps are thinned to a appropriate thickness according to the condition of axillary defects.

Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients

Sophisticated postoperative complications limit the long-term clinical success of liver transplantation. Hence, early identification of biomarkers is essential for graft and patient survival. High-throughput serum proteomics technologies provide an opportunity to identify diagnostic and prognostic biomarkers. This study is aimed to identify serum diagnosis biomarkers for complications and monitor effectiveness. Serum samples from 10 paired pre- and post-liver transplant patients, 10 acute rejection (AR) patients, 9 ischemic-type biliary lesion (ITBL) patients, and 10 healthy controls were screened using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to explore divergence in polypeptide. Then, we used ELISA and western blot analysis to validate the expression of these potential biomarkers, and studied the correlation of proteomic profiles with clinical parameters. ACLY, FGA, and APOA1 were significantly lower in pre-operative patients compared with healthy controls, and these patients had modest recovery after transplantation. Downregulation of both, ACLY and FGA, was also observed in AR and ITBL patients. Furthermore, bioinformatics analysis was performed and the results suggested that the identified proteins were involved in glucolipid metabolism and the clotting cascade. Together, these findings suggest that ACLY, FGA, and APOA1 could be novel non-invasive and early biomarkers to detect complications and predict effectiveness of liver transplantation.

[The value of analysis of quantitative radiomics based on DTI in predicting astrocytoma IDH1 mutation]

Objective: Non-invasive prediction of IDH1 mutations by establishing a quantitative radiographic model based on DTI-based whole-tumor texture analysis. Methods: Preoperative MRI images of patients with surgically confirmed astrocytoma were collected in the First Affiliated Hospital of Soochow University from February 2016 to June 2019, including T(1)WI, T(2)WI, DTI, and T(1)-contrast enhancement images.A total of 38 patients were included, consisting of 12 mutants and 26 wilds, 20 males and 18 females, the average age was (49±15) years old.The ROIs were drawn on each level of the T(2)WI image using MaZda software and copied to the ADC and FA maps to extract texture feature parameters. The LASSO regression was used to determine the best radiomics features, radiological scores were calculated, and binary Logistic regression was used to construct a prediction model, then the ROC curve was used to analyze the diagnostic efficiency and the calibration curve was used to evaluate model prediction performance. Results: The four most valuable radiomics features were determined by LASSO regression, and then the radiomics scores and Logistic regression models of each patient were established. The radiomics scores of the wild and mutant groups were 2.3±0.3 and 1.8±0.4. There were significant differences between the groups (P<0.05). The ROC curve analysis showed an AUC of 0.837 with sensitivity and specificity of 91.7% and 61.5%, respectively. The Logistic regression model had good predictive performance with AUC of 0.907, sensitivity and specificity of 91.7% and 84.6%. Conclusions: DTI-based whole tumor radiomics model is benefit for predicting astrocytoma IDH1 mutations.

Current updates on the role of reactive oxygen species in bladder cancer pathogenesis and therapeutics

Bladder cancer (BCa) is the fourth most common urological malignancy in the world, it has become the costliest cancer to manage due to its high rate of recurrence and lack of effective treatment modalities. As a natural byproduct of cellular metabolism, reactive oxygen species (ROS) have an important role in cell signaling and homeostasis. Although up-regulation of ROS is known to induce tumorigenesis, growing evidence suggests a number of agents that can selectively kill cancer cells through ROS induction. In particular, accumulation of ROS results in oxidative stress-induced apoptosis in cancer cells. So, ROS is a double-edged sword. A modest level of ROS is required for cancer cells to survive, whereas excessive levels kill them. This review summarizes the up-to-date findings of oxidative stress-regulated signaling pathways and transcription factors involved in the etiology and progression of BCa and explores the possible therapeutic implications of ROS regulators as therapeutic agents for BCa.

A 3D deep convolutional neural network approach for the automated measurement of cerebellum tracer uptake in FDG PET-CT scans

PURPOSE

The purpose of this work was to assess the potential of deep convolutional neural networks in automated measurement of cerebellum tracer uptake in F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) scans.

METHODS

Three different three-dimensional (3D) convolutional neural network architectures (U-Net, V-Net, and modified U-Net) were implemented and compared regarding their performance in 3D cerebellum segmentation in FDG PET scans. For network training and testing, 134 PET scans with corresponding manual volumetric segmentations were utilized. For segmentation performance assessment, a fivefold cross-validation was used, and the Dice coefficient as well as signed and unsigned distance errors were calculated. In addition, standardized uptake value (SUV) uptake measurement performance was assessed by means of a statistical comparison to an independent reference standard. Furthermore, a comparison to a previously reported active-shape-model-based approach was performed.

RESULTS

Out of the three convolutional neural networks investigated, the modified U-Net showed significantly better segmentation performance. It achieved a Dice coefficient of 0.911 ± 0.026, a signed distance error of 0.220 ± 0.103 mm, and an unsigned distance error of 1.048 ± 0.340 mm. When compared to the independent reference standard, SUV uptake measurements produced with the modified U-Net showed no significant error in slope and intercept. The estimated reduction in total SUV measurement error was 95.1%.

CONCLUSIONS

The presented work demonstrates the potential of deep convolutional neural networks in automated SUV measurement of reference regions. While it focuses on the cerebellum, utilized methods can be generalized to other reference regions like the liver or aortic arch. Future work will focus on combining lesion and reference region analysis into one approach.

MicroRNAs in the Intestine: Role in Renewal, Homeostasis, and Inflammation

The mammalian intestine is not only an organ for food digestion and nutrient absorption but also an integral part of the immune and endocrine systems. The intestinal epithelium under stressful environments requires epithelial cells to rapidly elicit changes in gene expression patterns to regulate their survival, adapt to stress, and maintain epithelial homeostasis. Recently, miRNAs have emerged as a novel class of posttranscriptional gene regulators that are fundamentally involved in many aspects of intestinal epithelial differentiation, architecture, and barrier function. In this review, we highlight the critical roles of miRNAs in both the crypt-villus axis of cellular self-renewal and inflammation in the mammalian intestinal mucosa and their impact on the microbiota. We also discuss the functions of specific miRNAs within the intestine to better understand the cellular mechanisms that promote intestinal homeostasis, and the influence of dietary components in the regulation of endogenous miRNA in the study of nutrition and gene regulation in intestinal health.

RNA-Binding Motif Protein 6 is a Candidate Serum Biomarker for Pancreatic Cancer

PURPOSE

Early diagnosis is crucial to improve outcomes for pancreatic cancer patients (PC). The present study is designed to identify differently expressed peptides involved in PC as potential biomarkers.

EXPERIMENTAL DESIGN

The serum proteome of 22 PC patients, 12 pancreatitis patients (PP), and 45 healthy controls (HC) are analyzed using magnetic bead-based weak cation exchange (MB-WCX) and matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Next, a supervised neural network (SNN) algorithm model is established by ClinProTools and the candidate biomarker identified using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Finally, the candidate biomarker is validated in tissue samples.

RESULTS

The SNN algorithm model discriminates PC from HC with 92.97% sensitivity and 94.55% specificity. Seventy-six differentially expressed peptides are identified, seven of which are significantly different among PC, PP, and HC (p < 0.05). Only one peak (m/z: 1466.99) tends to be upregulated in samples from HC, PP, and PC, which is identified as region of RNA-binding motif protein 6 (RBM6). In subsequent tissue analysis, it is verified that RBM6 expression is significantly higher in PC tissues than paracancerous tissue.

CONCLUSIONS AND CLINICAL RELEVANCE

The results indicate that RBM6 might serve as a candidate diagnostic biomarker for PC.

CLINICAL RELEVANCE

Methods used in this study could generate serum peptidome profiles of PC, PP, and HC, and present an approach to identify potential biomarkers for diagnosis of this malignancy.

Proteomic Screening for Serum Biomarkers for Cervical Cancer and Their Clinical Significance

Background

The present study aimed to determine serum markers for cervical cancer (CC) and to provide valuable references for clinical diagnosis and treatment.

Material/Methods

Serum samples were collected from age-matched healthy control women, and from female CC patients before and after surgery. Serum biomarkers were selected by comparing serum peptides profiles among the 3 groups by magnetic bead-based weak cation – exchange chromatography fractionation combined with matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Probable serum biomarkers for cervical cancer were then further identified by liquid chromatography-electrospray ionization-tandem mass spectrometry system and the identified proteins were verified by enzyme-linked immunosorbent assay (ELISA).

Results

Three peptide biomarkers were identified for distinguishing CC patients from normal individuals, and distinguishing preoperative CC patients from postoperative CC patients. Of these 3 identified protein peptide regions, 2 peptide regions – TKT (Peak 2, 2435.63 m/z, 499–524) and FGA (Peak 4, 2761.79 m/z, 603–629) – were identified as upregulated markers, and peptide region of APOA1 (Peak 9, 2575.3 m/z, 245–260) was identified as a downregulated biomarker in preoperative CC patients compared with healthy women.

Conclusions

The present study provides a new method for identifying potential serum biomarkers for CC patients.