Improving the Concrete Crack Detection Process via a Hybrid Visual Transformer Algorithm

Inspections of concrete bridges across the United States represent a significant commitment of resources, given their biannual mandate for many structures. With a notable number of aging bridges, there is an imperative need to enhance the efficiency of these inspections. This study harnessed the power of computer vision to streamline the inspection process. Our experiment examined the efficacy of a state-of-the-art Visual Transformer (ViT) model combined with distinct image enhancement detector algorithms. We benchmarked against a deep learning Convolutional Neural Network (CNN) model. These models were applied to over 20,000 high-quality images from the Concrete Images for Classification dataset. Traditional crack detection methods often fall short due to their heavy reliance on time and resources. This research pioneers bridge inspection by integrating ViT with diverse image enhancement detectors, significantly improving concrete crack detection accuracy. Notably, a custom-built CNN achieves over 99% accuracy with substantially lower training time than ViT, making it an efficient solution for enhancing safety and resource conservation in infrastructure management. These advancements enhance safety by enabling reliable detection and timely maintenance, but they also align with Industry 4.0 objectives, automating manual inspections, reducing costs, and advancing technological integration in public infrastructure management.

Food fraud detection and reporting by food control officers in Finland

We studied food fraud detection and the reporting of suspected cases using a questionnaire survey and interviews with Finnish food control officers (FCOs). In total, 95 FCOs responded to the questionnaire, and 17 were interviewed. We found that even though many respondents had either suspected (69.2%) or detected (43.4%) food fraud or other food-related crime during the past five years, 46.8% thought they had no realistic chance of detecting food fraud during inspections. Challenges raised by the FCOs we interviewed included inadequate resources (8/17) and difficulties in inspecting documents or establishing their authenticity (14/17). Moreover, many interviewees highlighted difficulties in assessing whether to inform the police about a suspected case (7/17), and 62% (18/29) of respondents who had detected fraud had not reported it to the police. Training in food fraud detection, increased resources and guidelines on reporting suspected food fraud would improve food fraud detection and harmonize reporting.

Descriptive analysis of the most common types of food safety infractions at ready-to-eat meat processing plants in Ontario, Canada

Food safety inspections of meat processing plants and abattoirs that process ready-to-eat (RTE) meats have identified a lack of compliance with good manufacturing practices. This study was undertaken to identify common food safety infractions in the RTE meat processing sector in Ontario through an analysis of historical audit records. A total of 376,457 audit item results were evaluated across 912 unique audits of 204 different RTE meat plants. A nearly two-thirds overall item pass rate (64.4%; n = 242,478) was identified. Across all other risk categories, the highest rates of infractions were observed in the "maintenance of premises, equipment and utensils" (56.7%; n = 750). The overall item pass rate was higher in free-standing meat processing plants than abattoirs, while pass rates gradually decreased across the study period. The results of this study have identified key areas for improvement in future inspection, audit and outreach with RTE meat processing plants.

Eurasian consumers' food safety beliefs and trust issues in the age of COVID-19: evidence from an online survey in 15 countries

BACKGROUND

This investigation provides an important insight into Eurasian consumers' food safety beliefs and trust issues influenced by the COVID-19 pandemic. An online survey was conducted in 15 European and Asian countries involving more than 4000 consumers.

RESULTS

It has confirmed that different socioeconomic characteristics, cultural aspects and education levels shape food safety perceptions within Eurasian countries. The COVID-19 pandemic influenced their beliefs and trust in food safety, which is relatively low on average. However, it is significantly higher for European consumers (especially European Union ones) compared to their Asian counterparts. Both Asian and European respondents agreed that food fraud and climate changes represent a food safety issue. However, European consumers were less concerned regarding the food safety of genetically modified foods and meat and dairy analogs/hybrids. Asian consumers were, to a greater extent, worried about the risk of getting COVID-19 from food, restaurants, food retail establishments and home food deliveries.

CONCLUSION

Eurasian consumers have put their greatest extent of trust, when food safety assurance is concerned, into food scientists and food producers holding a food safety certificate. Broadly, they are uncertain to what extent their federal governments and food inspectors are competent, able and efficient in ensuring food safety. Higher education of Eurasian consumers was followed by increased food safety confidence in all parts of the food chain. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Trichinella spp. detection in hunted wild boar (Sus scrofa) diaphragm biopsies in Central Italy

Trichinellosis is a globally diffused foodborne parasitic disease caused by nematodes of the Trichinella complex. During evolution, guided by ecological interactions, natural selection, and biochemical "intelligence", these parasites developed admirable strategies to infect the host's organism. One of the most fascinating is represented by the nurse cell formation in muscular tissue (e.g., diaphragm, skeletal muscle, extrinsic ocular muscles, etc.). This strategy allowed the parasite to adapt and conquer the wider host species spectrum, including ungulates and humans. Consumption of undercooked meat from infected wild ungulates constitutes the most important source of infection for the human species. In this study, we show the prevalence of Trichinella spp. in hunted wild boars (Sus scrofa) in Central Italy. During the hunting season 2021/2022 in the province of Rieti, 554 wild boar diaphragm biopsies were collected for Trichinella spp. screening, in accordance with Regulation EU 1375/2015. An artificial digestion method was used for the detection of Trichinella spp. larval forms. The results revealed a positivity of 0.18% (1/554), and molecular biology identification demonstrated the presence of Trichinella britovi in the positive sample. This species is the most diffused in wild ungulate populations in Central Italy and the most frequently isolated in human patients with trichinellosis from this area, showing a close epidemiological relation between Homo sapiens and Sus scrofa for Trichinella spp. diffusion in an ecosystem. Epidemiological surveillance, in receptive animal species destined for human consumption and at any One Health level, represents the main "winning" strategy in the control of this worldwide, widespread foodborne parasitic disease.

Disposable Barrel Used for Easy and Fast Toe Space Examination

Chronic candidiasis with bacterial infection is common infection in the toe web which is is not inspected and treated well in early stage, and it is now the cause of cellulitis in the leg in a number of cases. To examine the narrow space of the toe web and to treat and to reduce the complication, we described the use a disposable syringe barrel.

An Inspection Technique Using Fit Clearance Based on Microscopic Vision in Precision Assembly

Inspection is a crucial process to ensure product quality. In the precision assembly of an optic-mechanical device, a part with micro multi-section arcs needs to be inspected and assembled into another part. Actually, because of machining errors, including dimensional and geometric shapes, can lead to complex deformation modes for parts with micro multi-section arcs, posing challenges to their inspection. Furthermore, inconsistencies in feature images in microscopic vision may complicate the extraction of the Region of Interest (ROI). To address these issues, this paper proposes an ROI extraction method based on the CAD model for rough positioning of feature points and connected region detection for refinement. Subsequently, based on feature points, the CAD model is used again to obtain the ROI. For inspection purposes, this paper proposes a method suitable for micro multi-section arcs based on assembly fit requirements. Experimental testing was performed on parts with eight-section arcs and mirrors to verify the effectiveness of the proposed method. This method provides a suitable solution for the inspection of micro multi-section arcs in precision assembly with the potential to improve the accuracy of the inspection results.

To profile or not?

Developing effective inspection processes at border crossings in order to identify violators within large groups of mostly innocent people is an important and difficult task. Passenger profiling is a tool used to deal with this task, but it raises many public concerns and ongoing debates about its usefulness. In this article, we study whether profiling is helpful, how it should be used to maximize its effectiveness, and how social utility is affected by its use. We consider two game models that take place at a crowded border crossing, where passengers are divided into different groups based on their risk profile. The models involve three players: the defender, the attacker, and the passenger recruited to engage in a violation. The defender decides on an inspection policy for every group of passengers. The attacker decides from which group to recruit a single passenger as a violator. The recruited passenger has private knowledge about the likelihood that she/he will engage in the violation or not. We solve the game models and compare their solutions with those of a no-profiling inspection policy. We then study a model with four players, including a social planner who is concerned about social utility, and chooses the defender's inspection resources and policy. We show that the announced profiling policy provides the highest payoffs to the defender. Regarding social utility, profiling is always better than no profiling. However, there are cases where the unannounced profiling policy provides the most social utility.

A novel approach in public health surveillance: searching the illegal dairy trade in Facebook

This paper uses the internet-based biosurveillance to describe the Brazilian e-commerce of non-inspected dairy products and maps its traditional sale in a medium-sized city (Londrina). We searched the sales of illegal dairy products on Facebook Marketplace and conducted a census of street markets and a random sample of formal markets. Although prohibited in Brazil, consumers can easily find informal dairy products on internet and retail sale. In addition, 7% of the food products hold a false label to mimic food inspection. The e-commerce was linked with regions with higher access to technology and Human Development Index (HDI). We believe that our approach shows a step forward in the public health interventions and could be replicated stimulating debates about policies required to improve the public health surveillance.

Motivation to Decrease Discharge Cost Results in Improper Discharge of Regulated Medical Wastes from Small Clinics: Inspectional and Statistical Evidence in the Tokyo Metropolitan Area

Introduction

Regulated medical waste (RMW) management, particularly, improper discharges of RMW from small-scale medical institutions (less than 20 sickbeds), has drawn attentions. This study investigated improper discharges of RMW containers from small clinics to analyze improper discharge mechanisms.

Methods

Inspectional survey categorized improper discharges into improper sealing, container deformation, overweight, container contamination, container damaging, etc. The inspection surveys were performed from April 2018 to March 2019. In total, 2364 containers were inspected, which was equivalent to 64317 Litters in container volume and around 13.19 Mg in weight.

Results

About 38% of RMW containers were categorized to improper discharges. They consist mainly of improper sealing (67.0%), container deformation (24.6%), and overweight (6.31%). It was hypothesized that frequent RMW discharges allow short interval of container discharge, which prevents clinic staff from human errors due to forgetting and might reduce improper discharges. However, the inspection results rejected this hypothesis. The survey proposes that improper discharges were likely not sporadic events, which possibly occurred in any clinics, but repeated events in certain clinics. It was also hypothesized that saving discharge cost likely induced overpacking of RMW to containers, particularly larger volume containers, and caused improper sealing, container deformation, and eventually overweight. The inspection results and statistical analyses validated this hypothesis. This study also validated one more hypothesis that large compressive force required for complete sealing might cause improper sealing. The measurement results rejected it. However, they also suggest that gender and age of clinic staff might be partially associated with improper sealing.

Conclusions

Improper discharges of RMW containers seem to be non-random events. Specific clinics likely repeat improper discharges using larger volume containers. It is proposed that decreasing discharge cost induces overpacking of RMW to containers, and causes subsequent problems like container deformation.

A target cultivar-specific identification system based on the chromatographic printed array strip method for eight prominent Japanese citrus cultivars

Citrus is a major cultivated crop in Japan, and new cultivars are of great interest in the Japanese and global market. Recently, the infringement of breeders' rights to citrus cultivars bred in Japan has become a problem related to the agricultural product export strategy promoted by the Japanese government. Cultivar identification systems using DNA markers are an effective tool for protecting breeders' rights. Here, a novel target cultivar-specific identification system using the chromatographic printed array strip method was developed for eight prominent Japanese citrus cultivars. A polymorphic InDel fragment specific to each cultivar was explored through the screening of published citrus InDel markers and next-generation sequencing of retrotransposon libraries. The cultivar-specific DNA marker set for each cultivar comprised 1-3 polymorphic InDel fragments in combination with a PCR-positive DNA marker for the ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit gene. The DNA markers were detected within 3 hours from DNA extraction to the detection by the C-PAS4 membrane stick following multiplex PCR. The developed system is superior as a convenient, rapid, and cost-effective DNA diagnostic method during inspection. The proposed target cultivar-specific identification system is expected to serve as an efficient tool for the injunction of suspicious registered cultivars, contributing to the protection of breeders' rights.

Naming the "baby" or the "beast"? The importance of concepts and labels in healthcare safety investigation

This paper focuses on concepts and labels used in investigation of adverse events in healthcare. The aim is to prompt critical reflection of how different stakeholders frame investigative activity in healthcare and to discuss the implications of the labels we use. We particularly draw attention to issues of investigative content, legal aspects, as well as possible barriers and facilitators to willingly participate, share knowledge, and achieve systemic learning. Our message about investigation concepts and labels is that they matter and influence the quality of investigation, and how these activities may contribute to system learning and change. This message is important for the research community, policy makers, healthcare practitioners, patients, and user representatives.

Definitions of health and social care standards used internationally: A narrative review

Setting standards is a quality improvement mechanism and an important means for shaping the provision of health and social care services. Standards comprise statements describing a process or outcome of care. Setting standards is a global practice. It would be useful to have an understanding of the underpinning definitions of standards used internationally. Therefore, the aim of this review was to examine definitions of health and social care standards used internationally and identify similarities and differences. A targeted grey literature search of standard-setting bodies' websites and related health legislation was conducted to retrieve explicit definitions of standards. Of 15 standard-setting bodies that were searched, 12 definitions of standards were narratively synthesised. Terms that appeared in two or more of the definitions were extracted. Counts and percentages were calculated for these terms to determine magnitude of use. The commonalities among definitions included 'quality' (n = 6, 50%), 'statements' (n = 5, 42%), 'performance' (n = 5, 42%), and 'measureable' (n = 4, 33%). The less commonly used terms were 'processes' (n = 3, 25%), 'set' (n = 3, 25%), 'evidence based' (n = 2, 17%), 'outcome' (n = 2, 17%), 'safe' (n = 2, 17%), and 'guidance' (n = 2, 17%). Explicit definitions of standards were not retrieved from health legislation documents. Standard-setting bodies develop standards in the context of the health systems in which they are implemented; some are aspirational levels of quality, while others are minimum levels of quality. Researchers, standards developers and policy makers should be cognisant of this when comparing standards between countries.

A rare distributive shock diagnosed only by medical history and inspection

A 78-year-old Japanese man was in a state of shock with skin flushing. Although he denied, his wife revealed his prescription disulfiram for alcoholism. Disulfiram-ethanol reaction, even though it is a rare cause of distributive shock, could be easily and quickly differentiated only based on accurate medical history and inspection.

Assessment of United States Department of Agriculture Food Safety Inspection Service Humane Handling Enforcement Actions: 2018-2020

Federally inspected slaughter establishments in the United States must adhere to the Humane Methods of Slaughter Act and regulations that enforce it. Failure to comply with this law results in a Humane Handling Enforcement Action (HHEA) issued by the United States Department of Agriculture Food Safety Inspection Service (USDA FSIS). The objective of this study was to systematically analyze and describe HHEAs issued between 2018 and 2020. Enforcement action notification letters were accessed from the USDA FSIS website and date, location, regulatory action, reason for noncompliance, species, and follow up action for each HHEA was recorded. Summary statistics (proportions and percentages) were calculated for the entire population dataset. Between 2018 and 2020, FSIS issued 293 HHEAs; 109 in 2018, 85 in 2019, and 99 in 2020. The majority of HHEAs (64.16%; 188 of 293) were related to the mechanical stunning of bovine (39.93%; 117 of 293) and porcine (24.23%; 71 of 293) species. The majority (50.23%; 107 of 213) of causative reasons for mechanical stun failure across all species were not clearly described; however, of those that were, most (39.12%; 68 of 213) were related to the placement of mechanical stuns. Addressing these issues through improved training and research would help to reduce the total number of HHEAs. Additional detail in reporting the events that result in HHEAs from USDA FSIS would aid in guiding corrective actions on an industry-wide scale.

Chemistry Manufacturing and Controls Development, Industry Reflections on Manufacture, and Supply of Pandemic Therapies and Vaccines

This publication provides some industry reflections on experiences from the Chemistry, Manufacturing, and Controls (CMC) development and manufacture and supply of vaccines and therapies in response to the COVID-19 pandemic. It integrates these experiences with the outcomes from the collaborative work between industry and regulators in recent years on innovative science- and risk-based CMC strategies to the development of new, high-quality products for unmet medical needs. The challenges for rapid development are discussed and various approaches to facilitate accelerated development and global supply are collated for consideration. Relevant regulatory aspects are reviewed, including the role of Emergency Use/Conditional Marketing Authorizations, the dialogue between sponsors and agencies to facilitate early decision-making and alignment, and the value of improving reliance/collaborative assessment and increased collaboration between regulatory authorities to reduce differences in global regulatory requirements. Five areas are highlighted for particular consideration in the implementation of strategies for the quality-related aspects of accelerated development and supply: (1) the substantial need to advance reliance or collaborative assessment; (2) the need for early decision making and streamlined engagement between industry and regulatory authorities on CMC matters; (3) the need to further facilitate 'post-approval' changes; (4) fully exploiting prior and platform knowledge; and (5) review and potential revision of legal frameworks. The recommendations in this publication are intended to contribute to the discussion on approaches that can result in earlier and greater access to high-quality pandemic vaccines and therapies for patients worldwide but could also be useful in general for innovative medicines addressing unmet medical needs.

Assessing the quality of offshore Binomial sampling biosecurity inspections using onshore inspections

Introduction of pests and diseases through trade is one of the main socio-ecological challenges worldwide. Although Binomial sampling inspection at the border can reduce pest entry risk, it is common for consignments to fail inspection, wasting resources for both exporter and importer. Outsourcing the inspection to the exporting country could reduce the cost of inspection for both parties. However, there is then a need to assess the quality of the offshore inspection. In this paper, we develop an inverse method combining past inspection data on the pathway, an onshore inspection sample, and the Beta-Binomial model to infer the sample size of the offshore inspection. We illustrate the method on two case studies: the importation of live plants through germplasm into Australia and the importation of pelleted seeds in New Zealand. In these case studies, we found that detecting four to five infested units in a single onshore inspection was typically sufficient to significantly doubt the presence of a compliant offshore inspection. We also ran a simulation experiment to quantify the statistical power to reject or accept the presence of compliant offshore inspection in practice: In highly infested pathways, we could detect the absence of offshore inspections after inspecting five consignments onshore. Less infested pathways required inspecting 20 to 60 consignments onshore. Our study demonstrates that Binomial sampling onshore can be used to assess the quality of offshore inspections.

A Visual Servoing Scheme for Autonomous Aquaculture Net Pens Inspection Using ROV

Aquaculture net pens inspection and monitoring are important to ensure net stability and fish health in the fish farms. Remotely operated vehicles (ROVs) offer a low-cost and sophisticated solution for the regular inspection of the underwater fish net pens due to their ability of visual sensing and autonomy in a challenging and dynamic aquaculture environment. In this paper, we report the integration of an ROV with a visual servoing scheme for regular inspection and tracking of the net pens. We propose a vision-based positioning scheme that consists of an object detector, a pose generator, and a closed-loop controller. The system employs a modular approach that first utilizes two easily identifiable parallel ropes attached to the net for image processing through traditional computer vision methods. Second, the reference positions of the ROV relative to the net plane are extracted on the basis of a vision triangulation method. Third, a closed-loop control law is employed to instruct the vehicle to traverse from top to bottom along the net plane to inspect its status. The proposed vision-based scheme has been implemented and tested both through simulations and field experiments. The extensive experimental results have allowed the assessment of the performance of the scheme that resulted satisfactorily and can supplement the traditional aquaculture net pens inspection and tracking systems.

[The information support of inspection of medical organizations and management decision making]

In the contemporary complicated social economic conditions managerial decision-makings in health care are to consider specific characteristics of corresponding implementation in medical institutions. This is also true for informational support as a basis of adequate managerial decision-making. The purpose of the study is to investigate impact of medical institutions inspections on informational support of managerial decision-making. The expert survey of 32 health care administrators was carried out. This study proceeds previous ones concerning structure of managerial information sources dominated by results of inspections of medical institutions, completes them and presents new facts. The significant impact of implementation of inspection for acquiring information for further decision-making in medical institutions was established. The study results are a kind of link between inspections of medical institutions and subsequent managerial decision-makings and can be applied in health care administrators daily routine activity as well as for their professional training.

Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework

Robot localization inside tunnels is a challenging task due to the special conditions of these environments. The GPS-denied nature of these scenarios, coupled with the low visibility, slippery and irregular surfaces, and lack of distinguishable visual and structural features, make traditional robotics methods based on cameras, lasers, or wheel encoders unreliable. Fortunately, tunnels provide other types of valuable information that can be used for localization purposes. On the one hand, radio frequency signal propagation in these types of scenarios shows a predictable periodic structure (periodic fadings) under certain settings, and on the other hand, tunnels present structural characteristics (e.g., galleries, emergency shelters) that must comply with safety regulations. The solution presented in this paper consists of detecting both types of features to be introduced as discrete sources of information in an alternative graph-based localization approach. The results obtained from experiments conducted in a real tunnel demonstrate the validity and suitability of the proposed system for inspection applications.

Region-Based CNN for Anomaly Detection in PV Power Plants Using Aerial Imagery

Today, solar energy is taking an increasing share of the total energy mix. Unfortunately, many operational photovoltaic plants suffer from a plenitude of defects resulting in non-negligible power loss. The latter highly impacts the overall performance of the PV site; therefore, operators need to regularly inspect their solar parks for anomalies in order to prevent severe performance drops. As this operation is naturally labor-intensive and costly, we present in this paper a novel system for improved PV diagnostics using drone-based imagery. Our solution consists of three main steps. The first step locates the solar panels within the image. The second step detects the anomalies within the solar panels. The final step identifies the root cause of the anomaly. In this paper, we mainly focus on the second step comprising the detection of anomalies within solar panels, which is done using a region-based convolutional neural network (CNN). Experiments on six different PV sites with different specifications and a variety of defects demonstrate that our anomaly detector achieves a true positive rate or recall of more than 90% for a false positive rate of around 2% to 3% tested on a dataset containing nearly 9000 solar panels. Compared to the best state-of-the-art methods, the experiments revealed that we achieve a slightly higher true positive rate for a substantially lower false positive rate, while tested on a more realistic dataset.

Defining Food Safety Inspection

Food safety inspections are a key health protection measure applied by governments to prevent foodborne illness, yet they remain the subject of sustained criticism. These criticisms include inconsistency and inadequacy of methods applied to inspection, and ineffectiveness in preventing foodborne illness. Investigating the validity of these criticisms represent important areas for further research. However, a defined construct around the meanings society attributes to food safety inspection must first be established. Through critical examination of available literature, this review identified meanings attributed to food safety inspection and explicates some of the key elements that compose food safety inspection as a social construct. A total of 18 meanings were found to be attributed to food safety inspection. Variation in meanings were found between consumers, food business associates and food safety inspectors. For some, inspection meant a source of assurance, for others a threat to fairness, while most view inspection as a product of resources and inspector training. The meanings were then examined in light of common criticisms directed at food safety inspection, to expound their influence in how food safety inspection is realized, shaped, and rationalized. This review highlights the influence of sociological factors in defining food safety inspection.

Research on Key Competency Elements of an Excellent Front-Line Health Inspector

In order to find out the competency elements of excellent front-line health inspector, and to improve the comprehensive quality and law enforcement level, we conducted this study. Firstly, key Behavior Event Interview (BEI) was used to find out the competency elements of front-line inspector. From May to September in 2020, 7 health inspectors engaged in front-line inspection and law enforcement work in the Pudong New Area Health Inspection agency were interviewed by using the method of key Behavior Event Interview (BEI). Meanwhile, the competency differences of front-line personnel with different performance levels were compared by analyzing the difference of the average grade score, the highest grade score and so on of inspectors in different performance groups. Then the method of expert consultation was used to verify the rationality of the extracted competency elements. Combined with the results of expert consultation and the results of key Behavior Event Interview (BEI), the prominent competency elements of excellent front-line health inspector were found out. The total 6 prominent competency elements were investigation and evidence collection ability, on-site control ability, legal awareness, career love, communication and coordination ability, teamwork ability. Cohen's Kappa coefficient of the 2 coders was more than 0.6, which had high consistency. The key Behavior Event Interview (BEI) is scientific and reasonable method to find out prominent competency elements of excellent front-line health inspector, and the prominent competency elements found out will be helpful in the human resources planning and management of health inspection in the future.

Investigating the compliance of COVID-19 protocols in the workplaces of Ardabil, Iran

BACKGROUND

Workplaces are prone to the current outbreak- of COVID-19. Despite the production of the COVID-19 vaccine, due to some challenges in vaccinating all people worldwide, adherence to health protocols is still one of the ways to prevent infection.

OBJECTIVE

This study was conducted with the purpose of investigating the compliance of COVID-19 protocols in the workplaces of Ardabil, Iran.

METHODS

This was a cross-sectional research conducted on the workplaces affiliated to Ardabil University of Medical Sciences between August and September, 2020. A researcher-designed checklist was completed once in early August and once at the end of September for the workplaces. Accordingly, these workplaces were inspected for any compliance with the COVID-19 prevention protocols by health centers during August and September. In addition, the number of patients with COVID-19 was determined for each one of the workplaces.

RESULTS

The results showed that the highest increase was related to screening (57.8%) and the lowest change was related to personal hygiene (1.3%). The rates of increase in performance for small workshops, offices and industries were 35.4%, 33.1%and 12.4%, respectively. Moreover, a linear and inverse relationship was found between the incidence of COVID-19 and the level of observance of the OVID-19 prevention protocols.

CONCLUSIONS

Based on the results of this study, the inspection made by legal authorities led to the increased commitment of workplace managers to implement prevention programs, thereby increasing the observation level of these protocols in the workplace and reducing the incidence of COVID-19.

Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study

Background-The visual inspection of aircraft parts such as engine blades is crucial to ensure safe aircraft operation. There is a need to understand the reliability of such inspections and the factors that affect the results. In this study, the factor 'cleanliness' was analysed among other factors. Method-Fifty industry practitioners of three expertise levels inspected 24 images of parts with a variety of defects in clean and dirty conditions, resulting in a total of N = 1200 observations. The data were analysed statistically to evaluate the relationships between cleanliness and inspection performance. Eye tracking was applied to understand the search strategies of different levels of expertise for various part conditions. Results-The results show an inspection accuracy of 86.8% and 66.8% for clean and dirty blades, respectively. The statistical analysis showed that cleanliness and defect type influenced the inspection accuracy, while expertise was surprisingly not a significant factor. In contrast, inspection time was affected by expertise along with other factors, including cleanliness, defect type and visual acuity. Eye tracking revealed that inspectors (experts) apply a more structured and systematic search with less fixations and revisits compared to other groups. Conclusions-Cleaning prior to inspection leads to better results. Eye tracking revealed that inspectors used an underlying search strategy characterised by edge detection and differentiation between surface deposits and other types of damage, which contributed to better performance.

Soft-Tentacle Gripper for Pipe Crawling to Inspect Industrial Facilities Using UAVs

This paper presents a crawling mechanism using a soft-tentacle gripper integrated into an unmanned aerial vehicle for pipe inspection in industrial environments. The objective was to allow the aerial robot to perch and crawl along the pipe, minimizing the energy consumption, and allowing to perform contact inspection. This paper introduces the design of the soft limbs of the gripper and also the internal mechanism that allows movement along pipes. Several tests have been carried out to ensure the grasping capability on the pipe and the performance and reliability of the developed system. This paper shows the complete development of the system using additive manufacturing techniques and includes the results of experiments performed in realistic environments.

Mosquito Guttersnipe: A New Sampling Tool for Roof Gutters, Tree Holes, and Other Elevated Mosquito Habitats

Mosquitoes pose health risks to human populations by serving as vectors of diseases. Mosquito control organizations are responsible for inspecting and controlling vector populations to reduce the risk of infection of these diseases. Current sampling methods are effective for numerous types of mosquito habitat, but not conducive for sampling small overhead habitat such as roof gutters or tree holes. We have developed and tested a tool called the Mosquito GutterSnipe to sample these overhead habitats. Volumetric and larval capacity testing of the tool prototype demonstrated comparable sampling integrity to standard mosquito dipping methods. The GutterSnipe can be employed as a reliable way to sample previously overlooked mosquito habitat. Its current model is cost effective and easy to produce for mosquito control organizations and easy to use for inspectors.

Low Back Pain (LBP) Incidence, Ergonomics Risk and Workers' Characteristics in Relations to LBP in Electronics Assembly Manufacturing

Aims

Electronics industry workers might have increased the risk of low back pain (LPB). This cohort study aimed to investigate LBP incidence and provide a baseline of ergonomic factors and workers' characteristics associated with LBP.

Methods

A six-month monitoring phase was designed using 196 electronic workers to identify LBP incidence. Baseline data were collected for ergonomic risk by RULA and lighting intensity measurement. Personal factors and work stress were surveyed by job content questionnaires (JCQ).

Results

Ergonomic risk related to sitting posture was indicated at inspection with lamp (66.7%; change needed). High risk was shown among standing workers at punching and E-check processes. The lighting intensity did not meet the recommended standard in the arm range zone 2 of inspection and E-check stations. Dissatisfaction was reported due to work stress, workload, work rhythm, and job control. The six-month LBP incidence was 52.5%. Work experience less than three years (RR = 1.41; 95% CI: 1.031.90) and chronic diseases (RR = 1.41; 95% CI: 1.091.82) were significantly correlated with LBP incidence.

Conclusions

Ergonomic and lighting conditions at E-check and inspection should be improved, and the promotion of short break exercise during shiftwork period is suggested. LBP should be closely surveilled in workers who had less job experience and underlying diseases.

Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information

This paper proposes a 3D object recognition method for non-coloured point clouds using point features. The method is intended for application scenarios such as Inspection, Maintenance and Repair (IMR) of industrial sub-sea structures composed of pipes and connecting objects (such as valves, elbows and R-Tee connectors). The recognition algorithm uses a database of partial views of the objects, stored as point clouds, which is available a priori. The recognition pipeline has 5 stages: (1) Plane segmentation, (2) Pipe detection, (3) Semantic Object-segmentation and detection, (4) Feature based Object Recognition and (5) Bayesian estimation. To apply the Bayesian estimation, an object tracking method based on a new Interdistance Joint Compatibility Branch and Bound (IJCBB) algorithm is proposed. The paper studies the recognition performance depending on: (1) the point feature descriptor used, (2) the use (or not) of Bayesian estimation and (3) the inclusion of semantic information about the objects connections. The methods are tested using an experimental dataset containing laser scans and Autonomous Underwater Vehicle (AUV) navigation data. The best results are obtained using the Clustered Viewpoint Feature Histogram (CVFH) descriptor, achieving recognition rates of 51.2%, 68.6% and 90%, respectively, clearly showing the advantages of using the Bayesian estimation (18% increase) and the inclusion of semantic information (21% further increase).

Stability of freeze-dried products subjected to microcomputed tomography radiation doses

OBJECTIVES

Microcomputed tomography (µCT) is a powerful analytical tool for non-invasive structural analysis. The stability of drug substances and formulations subjected to X-ray radiation may be a concern in the industry. This study examines the effect of X-ray radiation on the stability of freeze-dried pharmaceuticals. The investigation is a proof of concept study for the safety of µCT X-ray radiation doses during the non-destructive investigation of freeze-dried products.

METHODS

Different formulations of clotrimazole, insulin and l-lactate dehydrogenase were freeze-dried and the products exposed to a defined dose of radiation by µCT. Conservative freeze-drying conditions were used. Irradiated and normal samples were analysed for their stability directly after freeze-drying and after stability testing.

KEY FINDINGS

The stability of model compounds was well maintained during freeze-drying. Some degradation of all compounds occurred during accelerated stability testing. The results showed no differences between the irradiated and normal state directly after freeze-drying and accelerated stability testing.

CONCLUSIONS

No evidence of a detrimental effect of 100 Gy X-ray exposure on a model small molecule, peptide and protein compound was found while useful structural information could be obtained. Consequently, the technology may be useful as a non-destructive tool for product inspections if the formulation proves stable.

Composite Laminate Delamination Detection Using Transient Thermal Conduction Profiles and Machine Learning Based Data Analysis

Delaminations within aerospace composites are of particular concern, presenting within composite laminate structures without visible surface indications. Transmission based thermography techniques using contact temperature sensors and surface mounted heat sources are able to detect reductions in thermal conductivity and in turn impact damage and large disbonds can be detected. However delaminations between Carbon Fibre Reinforced Polymer (CFRP) plies are not immediately discoverable using the technique. The use of transient thermal conduction profiles induced from zonal heating of a CFRP laminate to ascertain inter-laminate differences has been demonstrated and the paper builds on this method further by investigating the impact of inter laminate inclusions, in the form of delaminations, to the transient thermal conduction profile of multi-ply bi-axial CFRP laminates. Results demonstrate that as the distance between centre of the heat source and delamination increase, whilst maintaining the delamination within the heated area, the resultant transient thermal conduction profile is measurably different to that of a homogeneous region at the same distance. The method utilises a supervised Support Vector Classification (SVC) algorithm to detect delaminations using temperature data from either the edge of the defect or the centre during a 140 s ramped heating period to 80 °C. An F1 score in the classification of delaminations or no delamination at an overall accuracy of over 99% in both training and with test data separate from the training process has been achieved using data points effected by transient thermal conduction due to structural dissipation at 56.25 mm.

[Enlightenment on Carrying out Reporting Responsibility of Manufactures in China from Reviewing Medical Device Reporting Practice in US]

OBJECTIVE

By introducing the Medical Device Reporting (MDR) system and related inspection practice of the US, this paper puts forward some suggestions on implementing reporting responsibility of manufactures in China.

METHODS

The MDR system and the related inspection system in the US were systematically analyzed.

RESULTS

The US had established a sound system for discovering and reporting MDR, and a mechanism for inspecting the implementing of manufactures, forming an effective post-market surveillance system.

CONCLUSIONS

By learning from the experience of the US, we can carry out the post-market surveillance of medical devices adverse events in China from the aspects of implementing the existing system, strengthening the reporting ability and perfecting the inspection mechanism.

Classification of Vertebral Osteomyelitis and Associated Judgment Applied during Post-Mortem Inspection of Swine Carcasses in Portugal

Vertebral osteomyelitis (VO) it is often a suppurative lesion that, in Portugal, represents the main cause of total condemnation of slaughtered finishing pigs. Based on the EU Meat Inspection legislation, meat from generalized VO cases presenting signs of pyemia should be declared unfit for human consumption. For that reason, the main objective of this study is to establish a classification scheme to differentiate between localized and generalized VO cases using macroscopic findings and validate it based on the presence of pyemia. To assist in, a combination of macroscopic characteristics of gross lesions (e.g., presence of pyaemia-related lesions (PRL), acute/chronic characteristics of VO) was used to create a classification scheme to differentiate between localized and generalized VO cases. The scheme was applied to 40 VO cases that had been totally condemned in an undifferentiated way. In those 40 cases, histopathological analysis was used to validate acute/chronic macro-criteria, and microbiological analysis was performed to identify the pyemia cases. From the 40 selected VO cases, 20 were macroscopically classified as chronic and 20 as acute. Cohen's kappa coefficient (κ = 0.80; p < 0.001), revealed a substantial agreement between macroscopic and histopathology classification. Microbiological analyses identified 13 pyemia cases (13/40; 32.5%). Among those, 12 were macroscopically classified as acute, this association being highly significant (p < 0.001). By using the proposed VO classification scheme, 14 possible cases out of 40 could have been spared from total condemnation. This scheme can be used to harmonize the classification of VO and meat inspection decisions in Portuguese abattoirs. The output would lead to avoidance of unnecessary carcasses condemnation (food waste/economic losses), under an evidence-based approach, without compromising food safety and public health as demanded by the EU Meat Inspection legislation.

Assessment of Animal-Based Pig Welfare Outcomes on Farm and at the Abattoir: A Case Study

The study assessed the prevalence of animal-based pig welfare outcomes on one Chilean farm and one abattoir. A total of 198 pens of slaughter pigs (9,049 pigs) were observed on farm and 54 batches (8,843 pigs) were observed at the abattoir. All assessments were conducted from outside the pen on farm and from outside the corridor where pigs were unloaded from the truck at the abattoir. Batch size and number of pigs with ear, tail and skin lesions, hernias, rectal prolapse, bursitis, and lameness were recorded. Data were analyzed using generalized linear mixed models. There was a large variation among pens on farm and among batches at the abattoir for all outcomes. Bursitis was the most prevalent outcome recorded in both locations, followed by ear lesions recorded on farm and by tail lesions recorded at the abattoir. Ear lesions' prevalence was higher on farm (P < 0.001), while tail lesions, hernia, and bursitis prevalence were higher at the abattoir (P < 0.001). Ear lesions' prevalence on farm was higher in female and mixed-sex groups than in male groups (P < 0.01), but male groups tended to have a higher tail lesions' prevalence (P < 0.1). The results show a difference in welfare outcomes, suggesting that assessment of outcomes on farm could complement ante-mortem inspections at the abattoir. However, as the same animals were not inspected in the two locations and there is the possibility of a seasonal influence on the results, the findings should be interpreted with caution and further research is required.

Non-Destructive Identification of Fibre Orientation in Multi-Ply Biaxial Laminates Using Contact Temperature Sensors

Fibre orientation within composite structures dictates the material properties of the laminate once cured. The ability to accurately and automatically assess fibre orientation of composite parts is a significant enabler in the goal to optimise the established processes within aftermarket aerospace industries. Incorrect ply lay-up results in a structure with undesirable material properties and as such, has the potential to fail under safe working loads. Since it is necessary to assure structural integrity during re-manufacture and repair assessment, the paper demonstrates a novel method of readily and non-destructively determining fibre orientation throughout multi-ply Biaxial woven composite laminates using point temperature contact sensors and data analysis techniques. Once cured, only the outermost laminates are visible to assess orientation. The inspection method is conducted visually, with reference guides to allow for rapid adoption with minimum training, as well as harnessing established temperature sensors within the Maintenance Repair and Overhaul (MRO) environment. The system is amenable to integration within existing repair/re-manufacture processes without significant impact to process flow. The method is able to identify noisy samples with an accuracy, precision and recall of 0.9, and for synthetically created samples of double the cure ply thickness, a precision of 0.75, a recall of 0.7 and an accuracy of 0.87.

Application of Ultrasonic Guided Waves for Inspection of High Density Polyethylene Pipe Systems

The structural integrity assessment of thermoplastic pipes has become an interesting area of research due to its elevated usage in the liquid/gas transportation industry. Ultrasonic guided wave testing has gained higher attention from industry for the inspection of elongated structures due to the reduced inspection time and cost associated with conventional non-destructive testing techniques, e.g., ultrasonic testing, radiography, and visual inspection. Current research addresses the inspection of thermoplastic pipes using ultrasonic guided waves as a low cost and permanently installed structural health-monitoring tool. Laboratory and numerical investigations were conducted to study the potential of using ultrasonic guided waves to assess the structural health of thermoplastic pipe structures in order to define optimum frequency range for inspection, array design, and length of inspection. In order to achieve a better surface contact, flexible Macro-Fiber Composite transducers were used in this investigation, and the Teletest^® Focus+ system was used as the pulser/receiver. Optimum frequency range of inspection was at 15−25 kHz due to the level of attenuation at higher frequencies and the larger dead zone at lower frequencies due to the pulse length. A minimum of 14 transducers around the circumference of a 3 inch pipe were required to suppress higher order flexural modes at 16 kHz. According to the studied condition, 1.84 m of inspection coverage could be achieved at a single direction for pulse-echo, which could be improved by using a higher number of transducers for excitation and using pitch-catch configuration.

Analysis of the Factors Influencing Veterinary Food Inspectors in Poland

Simple Summary

Veterinary public health is involved in various fields related to food animals, i.e., their welfare and health condition, food safety and quality. Proper management of animal health status, in slaughter and then monitoring procedures through the whole production chain, are incorporated in the work of Veterinary Food Inspectors. These inspectors are also involved in assessing epidemiological situation, taking decisions in crisis and supervising decision-making process in the slaughterhouse. Responsible for both animal and human health, Veterinary Food Inspectors struggle with moral and ethical dilemmas, conflicts with food industry workers and employment shortages. There is also growing demand for continuing education and training, in order to adjust veterinary service to dynamically changing food industry and to follow modern animal production. More attention must be paid to training in food hygiene subjects, given Veterinary Food Inspectors must have excellent competencies in this field, in order to guarantee excellent last contact with food animals.

Abstract

The evaluation of the quality of Veterinary Inspection in Poland has received much attention in the past few years. Veterinarians working as Food Inspectors face numerous and newly arising problems in the protection of animal health status, providing surveillance information on the occurrence of diseases, and carrying out risk analyses of the hazards related to food of animal origin. From the 130 active veterinarians attending the post graduate courses in “Hygiene of slaughter animals, meat and animal origin products” in Poland, 119 took part in the survey. The questionnaire consisted of 15 questions that delivered information on demographic features of the respondents, and various aspects of the course of their work: (a) Motivation to undertake work in food safety sector, (b) overall job satisfaction, (c) crucial negative factors and (d) occupational hazards. Participants were mainly under 40 years of age. They were Veterinary Food Inspectors working as Official and Approved Veterinarians. Permanent position and economic reasons were their main motivation in the food safety sector. They indicated problems related to insufficient training in ante and post mortem examination, work with legal acts and risk analysis. They also declared a lack of preparation in coping with crisis situations. One third of the respondents declared their health and lives were endangered, while fulfilling professional duties and pointed at different sources of hazards. The overall evaluation of the work in food safety sector was rated good and satisfactory.

Design of a Hyper-Redundant Robot and Teleoperation Using Mixed Reality for Inspection Tasks

Hyper-redundant robots are highly articulated devices that present numerous technical challenges such as their design, control or remote operation. However, they offer superior kinematic skills than traditional robots for multiple applications. This work proposes an original and custom-made design for a discrete and hyper-redundant manipulator. It is comprised of 7 sections actuated by cables and 14 degrees of freedom. It has been optimized to be very robust, accurate and capable of moving payloads with high dexterity. Furthermore, it has been efficiently controlled from the actuators to high-level strategies based on the management of its shape. However, these highly articulated systems often exhibit complex shapes that frustrate their spatial understanding. Immersive technologies emerge as a good solution to remotely and safely teleoperate the presented robot for an inspection task in a hazardous environment. Experimental results validate the proposed robot design and control strategies. As a result, it is concluded that hyper-redundant robots and immersive technologies should play an important role in the near future of automated and remote applications.

Table Cleaning Task by Human Support Robot Using Deep Learning Technique

This work presents a table cleaning and inspection method using a Human Support Robot (HSR) which can operate in a typical food court setting. The HSR is able to perform a cleanliness inspection and also clean the food litter on the table by implementing a deep learning technique and planner framework. A lightweight Deep Convolutional Neural Network (DCNN) has been proposed to recognize the food litter on top of the table. In addition, the planner framework was proposed to HSR for accomplishing the table cleaning task which generates the cleaning path according to the detection of food litter and then the cleaning action is carried out. The effectiveness of the food litter detection module is verified with the cleanliness inspection task using Toyota HSR, and its detection results are verified with standard quality metrics. The experimental results show that the food litter detection module achieves an average of 96% detection accuracy, which is more suitable for deploying the HSR robots for performing the cleanliness inspection and also helps to select the different cleaning modes. Further, the planner part has been tested through the table cleaning tasks. The experimental results show that the planner generated the cleaning path in real time and its generated path is optimal which reduces the cleaning time by grouping based cleaning action for removing the food litters from the table.

A Framework for Multiple Ground Target Finding and Inspection Using a Multirotor UAS

Small unmanned aerial systems (UASs) now have advanced waypoint-based navigation capabilities, which enable them to collect surveillance, wildlife ecology and air quality data in new ways. The ability to remotely sense and find a set of targets and descend and hover close to each target for an action is desirable in many applications, including inspection, search and rescue and spot spraying in agriculture. This paper proposes a robust framework for vision-based ground target finding and action using the high-level decision-making approach of Observe, Orient, Decide and Act (OODA). The proposed framework was implemented as a modular software system using the robotic operating system (ROS). The framework can be effectively deployed in different applications where single or multiple target detection and action is needed. The accuracy and precision of camera-based target position estimation from a low-cost UAS is not adequate for the task due to errors and uncertainties in low-cost sensors, sensor drift and target detection errors. External disturbances such as wind also pose further challenges. The implemented framework was tested using two different test cases. Overall, the results show that the proposed framework is robust to localization and target detection errors and able to perform the task.

Upper gastrointestinal anatomy detection with multi-task convolutional neural networks

Esophagogastroduodenoscopy (EGD) has been widely applied for gastrointestinal (GI) examinations. However, there is a lack of mature technology to evaluate the quality of the EGD inspection process. In this Letter, the authors design a multi-task anatomy detection convolutional neural network (MT-AD-CNN) to evaluate the EGD inspection quality by combining the detection task of the upper digestive tract with ten anatomical structures and the classification task of informative video frames. The authors’ model is able to eliminate non-informative frames of the gastroscopic videos and detect the anatomies in real time. Specifically, a sub-branch is added to the detection network to classify NBI images, informative and non-informative images. By doing so, the detected box will be only displayed on the informative frames, which can reduce the false-positive rate. They can determine the video frames on which each anatomical location is effectively examined, so that they can analyse the diagnosis quality. Their method reaches the performance of 93.74% mean average precision for the detection task and 98.77% accuracy for the classification task. Their model can reflect the detailed circumstance of the gastroscopy examination process, which shows application potential in improving the quality of examinations.

Design of a Phased Array EMAT for Inspection Applications in Liquid Sodium

This article describes the development of a French CEA in-house phased array Electro Magnetic Acoustic Transducer (EMAT) adapted to hot and opaque sodium environment for in-service inspection of Sodium Fast Reactors. The work presented herein aimed at improving in-service inspection techniques for the ASTRID reactor project. The design process of the phased array EMAT is explained and followed by a review of laboratory experimental test results.

3D Object Recognition Based on Point Clouds in Underwater Environment with Global Descriptors: A Survey

This paper addresses the problem of object recognition from colorless 3D point clouds in underwater environments. It presents a performance comparison of state-of-the-art global descriptors, which are readily available as open source code. The studied methods are intended to assist Autonomous Underwater Vehicles (AUVs) in performing autonomous interventions in underwater Inspection, Maintenance and Repair (IMR) applications. A set of test objects were chosen as being representative of IMR applications whose shape is typically known a priori. As such, CAD models were used to create virtual views of the objects under realistic conditions of added noise and varying resolution. Extensive experiments were conducted from both virtual scans and from real data collected with an AUV equipped with a fast laser sensor developed in our research centre. The underwater testing was conducted from a moving platform, which can create deformations in the perceived shape of the objects. These effects are considerably more difficult to correct than in above-water counterparts, and therefore may affect the performance of the descriptor. Among other conclusions, the testing we conducted illustrated the importance of matching the resolution of the database scans and test scans, as this significantly impacted the performance of all descriptors except one. This paper contributes to the state-of-the-art as being the first work on the comparison and performance evaluation of methods for underwater object recognition. It is also the first effort using comparison of methods for data acquired with a free floating underwater platform.

An Evaluation of Monitoring Surveys of the Quarantine Bacterium Xylella Fastidiosa Performed in Containment and Buffer Areas of Apulia, Southern Italy

INTRODUCTION

Xylella fastidiosa is a quarantine phytopathogen for the European Plant Protection Organization and currently infects olive trees in the Apulia region (southern Italy). Upon the Implementing Decision of the European Union 2016/764 of May 12, 2016, extensive monitoring surveys were performed on approximately 190 000 ha to ascertain the possible occurrence of X. fastidiosa.

OBJECTIVES

The primary objectives of the analysis were to start to collect epidemiological data on X. fastidiosa occurrence in areas far from the initial outbreaks and discuss the results of the pathogen detection.

METHODS

A total of 220 279 olive trees were inspected. Basic information on farm and trees management was obtained. A total of 13 706 olive trees were analyzed through serological and molecular techniques to verify the possible occurrence of the bacterium.

RESULTS

The cultivars "Nociara," "Cima di Melfi," and "Cellina di Nardò" showed the highest occurrence of decline symptoms. Tree age appears to be related to the incidence of decline symptoms. Olive trees growing in well-managed soils showed fewer symptoms than trees cultivated in farms where such agronomic techniques are not regularly performed. X. fastidiosa was detected in 2078 samples taken from symptomatic trees and 1653 samples obtained from asymptomatic trees. In 3300 samples taken from symptomatic trees, the bacterium was not detected.

CONCLUSIONS

Implementation and utilization of reliable in situ detection techniques could increase the number of sampled trees in each plot, thus allowing a more extensive and robust assessment of X. fastidiosa-infected plants in areas where the pathogen inoculums are still low.

Gradual aggravation of idiopathic glossopharyngeal neuralgia due to chronic tonsillitis: A case report

RATIONALE

Glossopharyngeal neuralgia (GPN) is a rare type of neuralgia. Depending on the cause, it is classified as idiopathic GPN and secondary GPN. Secondary GPN can also be caused by a mass effect or inflammation of the tonsils, the innervation area of glossopharyngeal nerve.

PATIENT CONCERNS

The patient was diagnosed idiopathic GPN 8 years ago. The patient had intermittent pain, but the pain was well controlled. From 5 months ago, the pain gradually worsened, the patient complained severe pain which impaired chewing and swallowing function.

DIAGNOSES

Idiopathic GPN, secondary GPN, chronic tonsillitis INTERVENTIONS:: Percutaneous glossopharyngeal nerve block, glossopharyngeal neurolysis, and pulsed radiofrequency neuromodulation of glossopharyngeal nerve were performed. After the diagnosis of tonsillitis, antibiotic therapy was performed OUTCOMES:: Two weeks after the antibiotic treatment, the pain decreased simultaneously with the patient's tonsillitis recovery.

LESSONS

In a Patient who had already been diagnosed with idiopathic GPN, both pain control and its cause should be considered when the pain is aggravated.

Novel Aerial Manipulator for Accurate and Robust Industrial NDT Contact Inspection: A New Tool for the Oil and Gas Inspection Industry

There is a strong demand in the oil and gas industry to develop alternatives to manual inspection. This paper presents AeroX, a novel aerial robotic manipulator that provides physical contact inspection with unprecedented capabilities. AeroX has a semi-autonomous operation, which provides interesting advantages in contact inspection. In the free-flight mode, the pilot guides the robot until performing contact with its end-effector on the surface to be inspected. During contact, AeroX is in its fully-autonomous global navigation satellite system (GNSS)-free contact–flight mode, in which the robot keeps its relative position w.r.t. the surface contact point using only its internal sensors. During autonomous flight, the inspector can move—with uninterrupted contact—the end-effector on the surface for accurately selecting the points where to perform A-scan measurements or continuous B-scan or C-scan inspections. AeroX adopts an eight-tilted rotor configuration and a simple and efficient design, which provides high stability, maneuverability, and robustness to rotor failure. It can perform contact inspection on surfaces at any orientation, including vertical, inclined, horizontal-top or horizontal-bottom, and its operation can be easily integrated into current maintenance operations in many industries. It has been extensively validated in outdoor experiments including a refinery and has been awarded the EU Innovation Radar Prize 2017.

Physical assessment by Japanese community hospital nurses compared to that performed overseas: A cross-sectional study

BACKGROUND

Japanese nurses may not be adequately trained to perform physical assessments compared to nurses overseas due to differences in accessibility to education; currently, research investigating this discrepancy is limited. This study investigated the current performance levels of Japanese community nurses in physical assessments and compared their performance to that of nurses overseas.

METHODS

In this cross-sectional study, we examined the practical application of physical assessments conducted by nurses at a Japanese community hospital. We used a questionnaire based on one used in a similar prior study conducted overseas. The results were also compared with the overseas data. A chi-squared test and analysis of variance were used to analyze the variables in each question.

RESULTS

We distributed the questionnaires to 171 nurses working in the hospital. The return rate was 97.6% (167 out of 171). There was no significant difference in the methods used to perform a physical assessment based on the number of years of experience. Compared to nurses overseas, Japanese community hospital nurses differed in one area of assessment: A physical assessment of the chest was more likely conducted via auscultation rather than inspection.

CONCLUSIONS

When Japanese community hospital nurses performed a physical assessment of patients, auscultation was more frequently implemented than inspection. This approach contrasts with nurses overseas, who were more likely to use inspection when performing physical assessment. Japanese community nurses should improve their skills related to inspection, as inspection is an important process in the recognition of early stages of emergency.

User involvement in regulation: A qualitative study of service user involvement in Care Quality Commission inspections of health and social care providers in England

Background

High profile failures of care in the NHS have raised concerns about regulatory systems for health‐care professionals and organizations. In response, the Care Quality Commission (CQC), the regulator of health and social care in England overhauled its regulatory regime. It moved to inspections which made much greater use of expert knowledge, data and views from a range of stakeholders, including service users.

Objective

We explore the role of service users and citizens in health and social care regulation, including how CQC involved people in inspecting and rating health and social care providers.

Design

We analyse CQC reports and documents, and 61 interviews with CQC staff and representatives of groups of service users and citizens and voluntary sector organizations to explore the place of service user voice in regulatory processes.

Results

Care Quality Commission invited comments and facilitated the sharing of existing service user experiences and engaged with representatives of groups of service users and voluntary sector organizations. CQC involved service users in their inspections as “experts by experience.” Information from service users informed both the inspection regime and individual inspections, but CQC was less focused on giving feedback to service users who contributed to these activities.

Discussion and conclusions

Service users can make an important contribution to regulation by sharing their experiences and having their voices heard, but their involvement was somewhat transactional, and largely on terms set by CQC. There may be scope for CQC to build more enduring relationships with service user groups and to engage them more effectively in the regulatory regime.