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In a transition economy, the issues of reforming the transport system and overcoming the exacerbating problems of industry management become relevant. It seems that technological progress and the digital transformation of business processes should simplify the algorithm of action in management matters. However, as practice shows, during this period new conditions for the functioning of the industry arise (the emergence of new modes of transport or their modification) and elements of the transport system undergo changes. A more serious problem, according to the authors, is the unpredictability of foreign partners’ behaviour in relation to exclusive rights to software (SW) used by companies in the transport and logistics sector. The purpose of the study is to develop a model for assessing the cost of the risk of a company's sudden transition to domestic software and test it on the materials of companies in the transport and logistics industry of Altai Krai. The study was conducted in the context of trends in the digital transformation of the transport system, identifying factors and types of risk, and assessing their impact on the information technology landscape (IT landscape) of transport companies in the context of sanctions. The results confirm the need to prepare industry participants homegrown software and to minimise potential risks. A sudden software replacement is more likely to cause serious financial loss to organisation than planned actions that do not disrupt business processes and communications with partners and government agencies. The practical significance of the proposed risk assessment model lies in the possibility of its application when making management decisions on the digitalisation of business processes and the transition to domestic software, regardless of the industry and size of the company.

Abstract Background It is essential for nurses to interpret electrocardiograms accurately in cardiac care and emergency departments. Despite rigorous training, nursing students frequently encounter challenges in mastering electrocardiogram interpretation. The purpose of our study was to evaluate the effectiveness of an electrocardiogram interpretation software specifically designed for Iranian nursing students enrolled in undergraduate programs. Methods A nonequivalent control group pretest-posttest design was conducted at Ramsar University of Medical Sciences in 2020. Using the census sampling method, 75 nursing students from the two educational hospitals were recruited. Participants were divided into two intervention groups and a control group according to their rotations at their respective hospitals. The software contains evidence-based guidelines, interactive learning modules, practice exercises, and real-life examples. Statistical analyses, including chi-square tests and t tests, were conducted using descriptive and inferential statistics. Results A comparison of the two groups according to demographic characteristics, such as sex, age, was not statistically significant (p > 0.05). The knowledge and skills of the individuals in the control group significantly improved in comparison to those before the intervention. The use of software enhanced students’ ability to interpret electrocardiograms. Moreover, there was no statistically significant difference between the intervention and control groups in terms of knowledge and skills of electrocardiogram interpretation. Nursing students reported higher levels of satisfaction after using the software. Conclusion Moreover, undergraduate nursing students were able to learn more using electrocardiogram interpretation software combined with traditional teaching methods. Combining these two methods in a blended learning approach can improve learning. This software can be integrated into nursing curricula to assist nursing students in interpreting electrocardiograms.

Abstract Building reliable and robust quantitative structure–property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated. Second, the number of available methods is continuously growing and evaluating different algorithms and methodologies can be arduous. Finally, the last hurdle that researchers face is to ensure the reproducibility of their models and facilitate their transferability into practice. In this work, we introduce QSPRpred, a toolkit for analysis of bioactivity data sets and QSPR modelling, which attempts to address the aforementioned challenges. QSPRpred’s modular Python API enables users to intuitively describe different parts of a modelling workflow using a plethora of pre-implemented components, but also integrates customized implementations in a “plug-and-play” manner. QSPRpred data sets and models are directly serializable, which means they can be readily reproduced and put into operation after training as the models are saved with all required data pre-processing steps to make predictions on new compounds directly from SMILES strings. The general-purpose character of QSPRpred is also demonstrated by inclusion of support for multi-task and proteochemometric modelling. The package is extensively documented and comes with a large collection of tutorials to help new users. In this paper, we describe all of QSPRpred’s functionalities and also conduct a small benchmarking case study to illustrate how different components can be leveraged to compare a diverse set of models. QSPRpred is fully open-source and available at https://github.com/CDDLeiden/QSPRpred . Scientific Contribution QSPRpred aims to provide a complex, but comprehensive Python API to conduct all tasks encountered in QSPR modelling from data preparation and analysis to model creation and model deployment. In contrast to similar packages, QSPRpred offers a wider and more exhaustive range of capabilities and integrations with many popular packages that also go beyond QSPR modelling. A significant contribution of QSPRpred is also in its automated and highly standardized serialization scheme, which significantly improves reproducibility and transferability of models.

Electron tomography of frozen, hydrated samples allows structure determination of macromolecular complexes that are embedded in complex environments. Provided that the target complexes may be localised in noisy, three‐dimensional tomographic reconstructions, averaging images of multiple instances of these molecules can lead to structures with sufficient resolution for de novo atomic modelling. Although many research groups have contributed image processing tools for these tasks, a lack of standardisation and interoperability represents a barrier for newcomers to the field. Here, we present an image processing pipeline for electron tomography data in RELION‐5, with functionality ranging from the import of unprocessed movies to the automated building of atomic models in the final maps. Our explicit definition of metadata items that describe the steps of our pipeline has been designed for interoperability with other software tools and provides a framework for further standardisation.

Abstract Background Artificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics, streamlining the patient assessments. This study aimed to assess the reliability, accuracy, and time consumption of artificial intelligence (AI)-based software compared to a conventional digital cephalometric analysis method on 2D lateral cephalogram. Methods 408 lateral cephalometries were analysed using three methods: manual landmark localization, automatic localization, and semi-automatic localization with AI-based software. On each lateral cephalogram, 15 variables were selected, including skeletal, dental, and soft tissue measurements. The difference between the two AI-based software options (automatic and semi-automatic) was compared with the conventional digital technique. The time required to produce a complete cephalometric tracing was evaluated for each method using Student’s t-test. Results Statistically significant differences in the accuracy of landmark positioning were detected among the three different techniques (p

Abstract Background Despite several global interventions, tuberculosis (TB) remains a leading cause of death affecting millions of people globally. Many TB patients either have no access to quality care or go undetected by national health systems. Several multilevel factors account for under-detection of persons with TB. This study sought to explore patient-related software, community and health systems software and hardware factors influencing time to notification of TB in Lusaka District, Zambia. Methods This was an exploratory qualitative case study that adopted a software and hardware lens of conceptualizing health systems. Data were collected from across three sites – urban and peri-urban areas: Chongwe, Kafue, and Lusaka – within Lusaka Province, Zambia. Sixteen key informants - TB corner nurses, community TB treatment supporters, and TB program managers - were interviewed. Six focus groups were held with TB patients. Data were analyzed using thematic analysis. Results The study identified factors influencing timely TB notification, categorized into software and hardware elements. Patient-related software elements, including TB knowledge and awareness, and health-seeking behavior, are crucial for prompt notification among TB patients. In the community health system, software elements like social stigma and undesirable community attitudes towards contact tracing, and hardware elements such as unbalanced schedules, excessive workload and limited capacity of community TB treatment supporters contribute to delayed TB notification. In the formal health system, software elements like negative attitudes of health providers towards TB patients and demotivation of TB staff, and hardware elements such as high diagnostics and transportation costs, outdated diagnostics in primary care facilities, and slow referral mechanisms, can also delay TB notification. Conclusion Delays in time to TB notification are influenced by a combination of software (attitudinal and behavioral) and hardware (resource-related) elements across TB patients, community health systems, community TB treatment supporters, health providers, and TB staff. Addressing these factors, particularly social stigma, negative attitudes, and resource constraints, is crucial to improving timely TB detection and treatment.

Abstract The identification of malaria infection using microscope images of blood smears is considered as a ‘gold standard’. The diagnosis of malaria needs expert microscopists which are scarce in remote areas where malaria is endemic. Therefore, it is desirable to automate the repetitive task of pathogen detection in the blood samples received as microscope images. This study provides an easy to use and deploy method for implementing a malaria pathogen detection software- the Intelligent Suite. The Intelligent Suite features a graphical user interface (GUI) implemented using ‘cvui’ library to interact with the OpenVINO’s inference engine for model optimisation and deployment across several inference devices. The intelligent Suite uses a custom YOLO-mp-3l model trained on Darknet framework for detection of malaria pathogen in thick smear microscope images. Moreover, the Intelligent Suite provides user interface for inference device/mode selection, alter model parameters, and generate detection reports along with the model performance metrics. The Intelligent Suite was executed on a CPU computer with model inference running on a plug-and-play Neural Compute Stick (NCS2) and performance reported.

Abstract Cyclic fluorescence microscopy enables multiple targets to be detected simultaneously. This, in turn, has deepened our understanding of tissue composition, cell-to-cell interactions, and cell signaling. Unfortunately, analysis of these datasets can be time-prohibitive due to the sheer volume of data. In this paper, we present CycloNET, a computational pipeline tailored for analyzing raw fluorescent images obtained through cyclic immunofluorescence. The automated pipeline pre-processes raw image files, quickly corrects for translation errors between imaging cycles, and leverages a pre-trained neural network to segment individual cells and generate single-cell molecular profiles. We applied CycloNET to a dataset of 22 human samples from head and neck squamous cell carcinoma patients and trained a neural network to segment immune cells. CycloNET efficiently processed a large-scale dataset (17 fields of view per cycle and 13 staining cycles per specimen) in 10 min, delivering insights at the single-cell resolution and facilitating the identification of rare immune cell clusters. We expect that this rapid pipeline will serve as a powerful tool to understand complex biological systems at the cellular level, with the potential to facilitate breakthroughs in areas such as developmental biology, disease pathology, and personalized medicine.

The loss of fertile soil due to wind erosion has major impacts on the landscape and the environment. Its intensity and extent depend on many factors, where vegetation cover, soil moisture and wind intensity play key roles. Climatic conditions are constantly developing towards a higher extremity. Episodes of drought associated with a higher risk of wind erosion are longer and more frequent. For farmers, this results in higher demands for management in order to increase resistance against the negative effects of wind erosion. Windbreaks effectively protect the soil by reducing wind speed. This paper describes the automation of the current procedure for the evaluation of the spatial structure of windbreaks by means of advanced image signal analysis (2D) and the subsequent use of machine learning for further classification of spatial structure parameters (optical porosity). Software called Windbreak which enables the evaluation of optical porosity, including the assessment of canopy height, has been developed. The program allows working with digital photographs at the original resolution. The output from the Windbreak software can be also used as input values for determining the effectiveness of windbreaks.

A comparative analysis of the fulfillment of the necessary conditions for implementing the digital transformation of the economy using intellectual property in the world and in the Republic of Belarus was carried out. It has been established that in order to implement the digital transformation of the economy, it is necessary to fulfill two conditions directly related to intellectual property: the development of software and the availability of an instrument fleet, determined by patents for inventions in the field of information and communication technologies. It is concluded that Belarus has significant potential in the field of software creation. A noticeable lag in the Republic in terms of creating an instrument base for information and communication technologies has been revealed, which is confirmed by the small number of patents in the field of these technologies and in the field of artificial intelligence received by national applicants. The main directions for the development of digital transformation of the national economy in terms of intellectual property are formulated.

Abstract The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improving detection rates and LungRADS classification in chest CT. The study cohort included 198 participants with 221 pulmonary nodules. Residents’ mean detection rate increased significantly from 64 to 77% with AI assist, while seniors’ detection rate remained largely unchanged (85% vs. 86%). Residents showed significant improvement in segmental nodule localization with AI assistance, seniors did not. Software 2 slightly outperformed software 1 in increasing detection rates (67–77% vs. 80–86%), but neither significantly affected LungRADS classification. The study suggests that clinical experience mitigates the need for additional AI software, with the combination of CAD with residents being the most beneficial approach. Both software systems performed similarly, with software 2 showing a slightly higher but non-significant increase in detection rates.

Abstract Genome-wide association studies (GWAS) have revolutionized our understanding of the genetic architecture of complex traits and diseases. GWAS summary statistics have become essential tools for various genetic analyses, including meta-analysis, fine-mapping, and risk prediction. However, the increasing number of GWAS summary statistics and the diversity of software tools available for their analysis can make it challenging for researchers to select the most appropriate tools for their specific needs. This systematic review aims to provide a comprehensive overview of the currently available software tools and databases for GWAS summary statistics analysis. We conducted a comprehensive literature search to identify relevant software tools and databases. We categorized the tools and databases by their functionality, including data management, quality control, single-trait analysis, and multiple-trait analysis. We also compared the tools and databases based on their features, limitations, and user-friendliness. Our review identified a total of 305 functioning software tools and databases dedicated to GWAS summary statistics, each with unique strengths and limitations. We provide descriptions of the key features of each tool and database, including their input/output formats, data types, and computational requirements. We also discuss the overall usability and applicability of each tool for different research scenarios. This comprehensive review will serve as a valuable resource for researchers who are interested in using GWAS summary statistics to investigate the genetic basis of complex traits and diseases. By providing a detailed overview of the available tools and databases, we aim to facilitate informed tool selection and maximize the effectiveness of GWAS summary statistics analysis.

Purpose: The purpose of the study is to examine available scientific sources related to the role and potential of artificial intelligence in osteoarthritis of the knee joint. Materials/Methods: Method of deduction (analysis of literary sources). To achieve the goal, available scientific data on the role and potential of artificial intelligence application in knee OA were studied and analyzed. Results: The following innovations related to the use of artificial intelligence in knee osteoarthritis (OA) were reviewed: artificial intelligence (AI) software - named KOALA™ and DL AI software - MediAI-OA. KOALA™ is software that provides metric evaluations of knee joint imaging. Standardized quantitative measurements of morphological features such as joint gap width and joint gap area on knee radiographs reduce errors in diagnosis. The new DL software, MediAI-OA, demonstrated good success rates in analyzing knee OA characteristics, Kellgren-Lawrence (KL) grading (which is used to classify the severity of knee OA), and OA diagnosis comparable to that of experienced orthopedists and radiologists. Discussion: Diagnostic imaging is a vital tool for visualization. Imaging methods such as radiography, magnetic resonance (MR), computed tomography (CT), and ultrasound play critical roles in OA diagnosis. Additionally, vibro- and phono arthrography serve as alternative diagnostic tools. The most commonly used imaging method is magnetic resonance imaging, which has been found to underestimate the extent of osteochondral lesions. This can lead to inadequate and incomplete diagnoses. Artificial intelligence can serve as a strategic element in addressing these limitations in radiographic knee OA diagnosis. Conclusion: Artificial intelligence has the potential to advance the field of radiology by enhancing efficiency, accuracy, and precision in the radiographic diagnosis of knee osteoarthritis.

El avance de la tecnología de la información ha llevado a un aumento en el empleo de la estadística como una herramienta para analizar datos en diversas áreas académicas. La estadística se ha convertido en un requisito primordial en cualquier programa de estudio, debido a la variedad de aplicaciones en la industria y la investigación. Por consiguiente, los programas educativos en la educación superior necesitan formar graduados que posean conocimientos estadísticos teóricos y aplicados. Existen diferentes herramientas tecnológicas estadísticas, cada una con sus propias ventajas y desventajas para el análisis de datos. Sin embargo, en este trabajo se ha considerado el software estadístico Jamovi por ser un recurso tecnológico versátil, gratuito y de código abierto. A raíz de lo expuesto, este artículo estudia el impacto de la integración del software Jamovi en la enseñanza de la estadística en el área de la Ingeniería Civil. La población de estudio fue de 40 estudiantes de la Maestría en Planificación Física de Obras Civiles de la Universidad Estatal del Sur de Manabí, durante los meses de noviembre a diciembre de 2023. La metodología aplicada fue observacional analítica con un diseño cuantitativo, para ello se emplearon técnicas estadísticas descriptivas e inferenciales. Los resultados mostraron un rendimiento superior de las personas estudiantes que utilizaron Jamovi en comparación con quienes emplearon Excel. Esto se corroboró mediante análisis descriptivos y pruebas de hipótesis. De acuerdo con los resultados, se pudo concluir que Jamovi facilitó el proceso de enseñanza y aprendizaje de la estadística en la Ingeniería Civil.

Purpose: to develop software for the process of arranging sprinklers on the water-conducting belt of a sprinkler to improve the irrigation quality. Materials and methods. As a theoretical basis for creating software, the traditional methods of algorithmization and programming based on the processes of algorithm design for solving the problem of calculating the optimal spacing and flow-pressure characteristics of deflector nozzles on the water-conducting belt of sprinklers, respectively, formalized in the form of a scheme, and writing the source code in the object-oriented programming language Python were used. Results. To replenish the domestic scientific and technical base for digitalization of engineering and reclamation work with information tools, software for the process of arranging sprinklers on water-conducting belt of a sprinkler for uniform distribution of artificial rain along the irrigated area has been developed. The algorithm graphical model is represented by three blocks. The “Source data input” block provides a choice of the type of sprinkler, the operating flow rate of irrigation water, as well as the material of the water conducting belt. In the “Intermediate and target values calculation” block, the irrigation water loss, head loss, distance between the end and first nozzles, as well as the total number of sprinklers are calculated. In the “Cyclic computation and output of results” block, head losses along the length and local pressure losses are determined for each section, the sum of which makes up the total head losses. Using the designed software, computations were performed using the example of a cantilever sprinkler with 4 sections of steel pipeline, a total flow rate of 6 l/s and a pressure at the end of the console of 10 m. It was determined that to ensure the uniform distribution of artificial irrigation along the irrigated area, it is necessary to install 9 sprinklers with variable spacing along the length console, and to provide a head at the beginning of the sprinkler machine of 23.8 m, taking into account the total head loss of 13.8 m. Conclusions: the software allows simulating the optimal arrangement of deflector nozzles of the same size on a water-conducting belt at the design stage of double-cantilever and multi-tower lateral sprinklers.

Context: A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Department of Community Medicine was tasked with SARS-CoV2-IgG antibody serosurvey by Pimpri Chinchwad Municipal Corporation, sampling 5000 people spread over an area of 181 sq. km. There were no real-time mapping apps available for field surveys. Aims: Our aim was to develop an easy-to-use GIS system with a shallow learning curve and real-time mapping for field surveys which could be easily deployed. Materials and Methods: The program was developed using PHP hosted on a virtual private server and using Google Maps Application Programming Interface (API). The field investigator shares location through telegram to a bot which parses message, decodes geo-coordinates, team information, and time stamp. The program then passes the information for further processing, viewing, or analyzing. The map is generated using Google Maps API at user request. The teams are segregated using color coding. Results: The data can be accessed at http://test.techlabel.in/. Over 638 households from which samples were taken were plotted by the data from ten teams over ten days. Real-time feedbacks were possible as the study progressed. Households plotted on the maps were verified by the respective field investigators after the study had completed and showed good accuracy. Conclusion: The introduction of GIS software such as ours could bring about a positive impact on small- and medium-scale field researches. The quality and internal validity of small-scale field researches could certainly be improved by using GIS programs.

A mathematical description of the process of ethylene oligomerization on a NiO/B2O3-Al2O3 catalyst in a liquid heptane solvent is given. Problems of optimal process control are formulated. The temperature and time of the process are taken as control parameters. An algorithm is proposed for solving the problem of optimal control of the industrially significant catalytic process of ethylene oligomerization. The search for solutions to the formulated problems is carried out using a genetic algorithm with real coding. For each of the problems under consideration, a method is proposed for representing a mathematical analogue of a population on the basis of which a solution is searched. A step-by-step algorithm for determining the optimal parameters for the ethylene oligomerization process is presented. A special feature of the algorithm is the simultaneous search for the values of a continuous control parameter (temperature) and a discrete control parameter (process time). A program (application) has been developed to determine the optimal values of process parameters. The application allows the user to select an optimal control problem, set the values of the genetic algorithm parameters to find a solution, and visualize the results obtained. A computational experiment was carried out for the process of ethylene oligomerization. The optimal duration of the process under isothermal conditions was calculated, at which the highest concentration of C4 hydrocarbons is achieved. The optimal temperature conditions and duration of the ethylene oligomerization process were determined to ensure the maximum concentration of C6 hydrocarbons. The conducted numerical experiments demonstrated lower resource consumption compared to the methods of uniform search and variations in the control space. The proposed algorithm can be used to study the patterns of catalytic processes without resorting to laboratory experiments associated with additional material and time costs.

Los estudiantes universitarios muestran diversas actitudes hacia la investigación y la estadística, influenciadas por experiencias previas y expectativas académicas. En este contexto, el software estadístico Jamovi puede simplificar el análisis de datos, siendo el objetivo determinar la relación entre las actitudes hacia la investigación y el uso de Jamovi. El diseño del estudio fue no experimental, nivel correlacional y de corte transversal, participaron 120 estudiantes de la carrera de Psicología Clínica con una media de edad 22.8. El primer instrumento utilizado fue la Escala de Actitudes hacia la Investigación conformada por 28 ítems y el segundo cuestionario sobre la utilización del software Jamovi diseñado ad hoc. Los resultados indican una relación positiva leve entre las variables de estudio (rho=0.188*). Además, se puede evidenciar que existe una diferencia significativa entre los semestres y el uso del Jamovi (p=0.09), principalmente en los estudiantes de cuarto, séptimo y octavo semestre con las medias de puntuación más elevadas en comparación a los otros. Los estudiantes con actitudes positivas en investigación ven en Jamovi una herramienta valiosa que agiliza el proceso, permitiéndoles centrarse en la interpretación de resultados. La integración de Jamovi en la educación universitaria fortalece habilidades metodológicas.

Abstract This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI software from March to December 2021 were included retrospectively. The PPV was evaluated according to the true-positive (TP) and false-positive (FP) diagnosis determined by radiologists. To know the factors that might influence the results, logistic regression with generalized estimating equation was used. Among a total of 87,658 CXRs, 308 CXRs with 331 pneumothoraces from 283 patients were finally included. The overall PPV of AI about pneumothorax was 41.1% (TF:FP = 136:195). The PA view (odds ratio [OR], 29.837; 95% confidence interval [CI], 15.062–59.107), high abnormality score (OR, 1.081; 95% CI, 1.066–1.097), large amount of pneumothorax (OR, 1.005; 95% CI, 1.003–1.007), presence of ipsilateral atelectasis (OR, 3.508; 95% CI, 1.509–8.156) and a small amount of ipsilateral pleural effusion (OR, 5.277; 95% CI, 2.55–10.919) had significant effects on the increasing PPV. Therefore, PPV for pneumothorax diagnosis using AI can vary based on patients’ factors, image-acquisition protocols, and the presence of concurrent lesions on CXR.

Abstract Background Lung sound analysis parameters have been reported to be useful biomarkers for evaluating airway condition. We developed an automatic lung sound analysis software program for infants and children based on lung sound spectral curves of frequency and power by leveraging machine learning (ML) technology. Methods To put this software program into clinical practice, in Study 1, the reliability and reproducibility of the software program using data from younger children were examined. In Study 2, the relationship between lung sound parameters and respiratory flow (L/s) was evaluated using data from older children. In Study 3, we conducted a survey using the ATS-DLD questionnaire to evaluate the clinical usefulness. The survey focused on the history of wheezing and allergies, among healthy 3-year-old infants, and then measured lung sounds. The clinical usefulness was evaluated by comparing the questionnaire results with the results of the new lung sound parameters. Results In Studies 1 and 2, the parameters of the new software program demonstrated excellent reproducibility and reliability, and were not affected by airflow (L/s). In Study 3, infants with a history of wheezing showed lower FAP0 and RPF75p (p

Abstract The advent of genome-wide ancient DNA analysis has revolutionized our understanding of prehistoric societies. However, studying biological relatedness in these groups requires tailored approaches due to the challenges of analyzing ancient DNA. READv2, an optimized Python3 implementation of the most widely used tool for this purpose, addresses these challenges while surpassing its predecessor in speed and accuracy. For sufficient amounts of data, it can classify up to third-degree relatedness and differentiate between the two types of first-degree relatedness, full siblings and parent-offspring. READv2 enables user-friendly, efficient, and nuanced analysis of biological relatedness, facilitating a deeper understanding of past social structures.

Abstract Background Orofacial clefts are one of the most common congenital malformations of the fetal face and ultrasound is mainly responsible for its diagnosis. It is difficult to view the fetal palate, so there is currently no unified standard for fetal palate screening, and the diagnosis of cleft palate is not included in the relevant prenatal ultrasound screening guidelines. Many prenatal diagnoses for cleft palate are missed due to the lack of effective screening methods. Therefore, it is imperative to increase the display rate of the fetal palate, which would improve the detection rate and diagnostic accuracy for cleft palate. We aim to introduce a fetal palate screening software based on the “sequential sector scan though the oral fissure”, an effective method for fetal palate screening which was verified by our follow up results and three-dimensional ultrasound and to evaluate its feasibility and clinical practicability. Methods A software was designed and programmed based on “sequential sector scan through the oral fissure” and three-dimensional ultrasound. The three-dimensional ultrasound volume data of the fetal face were imported into the software. Then, the median sagittal plane was taken as the reference interface, the anterior upper margin of the mandibular alveolar bone was selected as the fulcrum, the interval angles, and the number of layers of the sector scan were set, after which the automatic scan was performed. Thus, the sector scan sequential planes of the mandibular alveolar bone, pharynx, soft palate, hard palate, and maxillary alveolar bone were obtained in sequence to display and evaluate the palate. In addition, the feasibility and accuracy of the software in fetal palate displaying and screening was evaluated by actual clinical cases. Results Full views of the normal fetal palates and the defective parts of the cleft palates were displayed, and relatively clear sequential tomographic images and continuous dynamic videos were formed after the three-dimensional volume data of 10 normal fetal palates and 10 cleft palates were imported into the software. Conclusions The software can display fetal palates more directly which might allow for a new method of fetal palate screening and cleft palate diagnosis.

Objective. The purpose of the study is to construct an algorithm for the functioning of a software package that automates the process of analyzing and assessing the security of the software used and selecting its most secure version for use at informatization facilities of internal affairs bodies.Method. During the study, we used: a method of a systematic approach to determining software security indicators, a method of mathematical formalization and algorithmization of the process of analyzing and assessing software security for developing program code.Result. An algorithm for the functioning of a software complex is proposed that allows for analysis and quantitative assessment of the security of software of automated systems of internal affairs bodies in relation to current vulnerabilities in real time. The algorithm is complex in nature, including five component algorithms. The operation of the main blocks of the algorithm is described.Conclusion. Conclusions are drawn about the importance of the practical implementation of the developed algorithm in the form of a software package that selects the optimal (most secure) version of software for operation at informatization facilities of internal affairs bodies in order to increase the actual security of limited-distribution official information.

Objectives This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices underpinning these systems. The review aims to illuminate the critical role of telemedicine in delivering healthcare services, especially during global health crises, and to emphasize the importance of effectiveness, security, interoperability, and scalability in these systems. Methods A systematic review methodology was employed, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework. As the primary research method, the PubMed, IEEE Xplore, and Scopus databases were searched to identify articles relevant to telemedicine architectures for continuous monitoring. Seventeen articles were selected for analysis, and a methodical approach was employed to investigate and synthesize the findings. Results The review identified a notable trend towards the integration of emerging technologies into telemedicine architectures. Key areas of focus include interoperability, security, and scalability. Innovations such as cognitive radio technology, behavior-based control architectures, Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) standards, cloud computing, decentralized systems, and blockchain technology are addressing challenges in remote healthcare delivery and continuous monitoring. Conclusions This review highlights major advancements in telemedicine architectures, emphasizing the integration of advanced technologies to improve interoperability, security, and scalability. The findings underscore the successful application of cognitive radio technology, behavior-based control, HL7 FHIR standards, cloud computing, decentralized systems, and blockchain in advancing remote healthcare delivery.

Artificial intelligence (AI) technology is actively being applied for the interpretation of medical imaging, such as chest X-rays. AI-based software medical devices, which automatically detect various types of abnormal findings in chest X-ray images to assist physicians in their interpretation, are actively being commercialized and clinically implemented in Korea. Several important issues need to be considered for AI-based detection assistant tools to be applied in clinical practice: the evaluation of performance and efficacy prior to implementation; the determination of the target application, range, and method of delivering results; and monitoring after implementation and legal liability issues. Appropriate decision making regarding these devices based on the situation in each institution is necessary. Radiologists must be engaged as medical assessment experts using the software for these devices as well as in medical image interpretation to ensure the safe and efficient implementation and operation of AIbased detection assistant tools.

Background. In recent years, the topic of artificial intelligence (AI) in medicine has been actively discussed not just as a promising solution but the one that can help to improve some results. A significant growth of interest in AI systems all over the world began in the early-mid 2010s, which allowed us to consider the practical application of such systems. The aim of the study is to analyze all the software products (SP) registered in our country as a medical device, including those with AI technology, and to evaluate their applicability in traumatology and orthopedics. Methods. The study included all the SP having a registration certificate of a medical device according to the OKPD2 code 58.29.XX.XXX (services for publishing other software). In the state register of medical devices and organizations (individual entrepreneurs), which is engaged in the production and manufacturing of medical devices, we found 111 registered SP according to the inclusion criterion, as at February 14, 2024. Results. We proposed to categorize all registered SP as follows: systems working with the DICOM standard images (47 pcs, 42%), laboratory data (20 pcs, 18%), microscopy images (7 pcs, 6%), photographic images (5 pcs, 5%), medical information systems (4 pcs, 4%), text data mining systems (3 pcs, 3%), clinical decision support systems (3 pcs, 3%), Holter ECG analysis (2 pcs, 2%), other systems (16 pcs, 14%). Systems applicable to traumatology and orthopedics accounted for 4 pcs (4%). Conclusions. Unfortunately, the real-world applicability of existing solutions in the field of traumatology and orthopedics can be regarded as minimal in comparison with pulmonology, oncology, and laboratory diagnostics, where AI programs have already achieved significant success.

It is necessary to have access to documents containing product requirements during the design process. Search and processing of this data slows down the product design significantly. The reduction of time losses calls for the availability of a proper software tool. In this work, programs for the creation of requirements management systems are considered. The proposed concept of the requirements management system will make it possible to increase the efficiency of the product design process. The identified potential of the software allows us to talk about the possibility of introducing this program into the production process of enterprises in the aircraft engine industry.

Purpose/Objectives: This article introduces the Key Electronic Assessment Platform (KEAP), an electronic-based assessment platform created in-house at the College of Dentistry (COD), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia. It highlights the platform’s integral value and demand within the educational system. Methods: The article introduces the KEAP system design and architecture, describes its features, tests, and implementation in addition to its maintenance and security. It also presents the outcomes of KEAP utilization and the level of users’ satisfaction. Results: The KEAP item bank has been expanded by more than 26,500 questions over the last four academic years and 1,255 exams have been administered. KEAP provides a highly secure structured framework for assessment planning, conduction, and evaluation. More than 90% of students and faculty are satisfied or very satisfied with their experience using the KEAP system indicating that it is well accepted by the end users. Conclusions: The development of KEAP is based on contextual factors in COD, KSAU-HS with the aim of creating a process for assessment that is valid, efficient, standardized, and highly secure. KEAP’s design and successful implementation can provide a successful example of implementing electronic-based assessment in higher education.

The relevance of the topic of this study is due to the need to ensure reliable operation of vehicles and minimize the risks of interruptions in the operation of internal combustion engines (ICE). A common phenomenon in operation is misfiring, which negatively affects the efficiency of the ICE and can lead to emergencies that entail significant financial and temporary losses for commercial companies. The problem is the need to identify and prevent such malfunctions early. The purpose of the study is to develop and test a system for monitoring and analyzing the technical condition of the internal combustion engine through vibration measurements. Method and methodology. The work used the method of in-place diagnostics, the use of which increases efficiency of determining the technical condition of the vehicle internal combustion engine. Results. This article describes the system developed by the authors for checking the technical condition of an internal combustion engine. As a result, software to process and record vibration and timing data has been developed in MATLAB. The study of influence of defects in mechanisms and systems of internal combustion engine on uniformity of time-amplitude characteristic of vibration pulses of each individual cylinder, which occur during operation of internal combustion engine, was carried out by calculation and experimentation. As a key conclusion, it is noted that the developed system allows to quickly and non-invasively identify the idle cylinder or the one of which contribution to the rotational movement of the crankshaft is the least compared to others. The research makes it possible to provide diagnostics in a short time using available means. Scope of application of the results. the research results were tested in the conditions of a service company when diagnosing the internal combustion engines of passenger cars and trucks, and can be applied by both car repair shops and car enthusiasts.

The search for and implementation of efficient tools that enhance the productivity of both students and teachers are essential tasks in today's educational landscape. In this context, an academic work-checking system serves as an innovative tool for automating the studying process, with the potential to significantly improve the work of the main participants in the educational process. First and foremost, it is crucial to understand what such a system entails. It consists of a set of software and technical tools specifically designed to automate the validation of students' academic work. This service includes algorithms for detecting plagiarism, assessing the quality and objectivity of the work, and the ability to offer feedback and guidance to students for improving their work. The first advantage of the system is the reduction of time spent on checking diploma theses. The application analyzes the text of the works much faster than a teacher can, allowing for a more efficient use of the resources of the higher education institution. This is especially relevant in the context of the growing number of students and the volume of work. The second important advantage is the improvement of the objectivity and quality of assessment. The verification system allows for the use of objective criteria and standards to assess works, making the process fair and consistent. Our service for evaluating works includes checking various aspects, such as the correctness of formatting for citations and literary sources, the correspondence of the table of contents pages to the document's pages, proper source formatting, the presence of punctuation marks in the sources, the correctness of the title page, the correspondence of signatures to figures and tables, their integration into the work's context, and the appropriate use of abbreviations. The application responds to changes in evaluation criteria and can provide detailed analysis and recommendations for improving works. For young scientists, the diploma thesis verification system contributes to their self-development. It allows students to receive an objective assessment of their skills and abilities, as well as instructions for improving quality. This stimulation encourages independent improvement and learning. As the educational process becomes increasingly digital, the diploma thesis verification system also offers opportunities for integration with other educational and scientific tools. It provides opportunities for interaction with online learning platforms, electronic libraries, and other resources that enhance the educational process and the work of teachers.

The difficulties and tasks of using software when applying hybrid learning technologies in the design of digital devices are considered. The composition of the device under study has been determined. Indicators of training quality are associated with the choice of software using the example of the degree of satisfaction with the design result. Software modules for the development of digital devices have been identified. The software of the device being developed is considered as a component of a laboratory workshop. A feature of hybrid learning is noted that is associated with the complexity of prototyping and the need to ensure compatibility of project files created online with computer software modules in the university laboratory. It is proposed to create a database of educational projects to ensure continuity in the design and formation of start-up projects. An example of the design results of a digital device for indicating and monitoring a process parameter is given. The difficulties when using domestically produced integrated circuits in educational design are highlighted. It is recommended to conduct hybrid training in the design of digital devices in small groups.

Digital twins, as virtual models of physical entities, are becoming vital in modeling various objects and phenomena in the modern world. In the agricultural sector, their role is particularly crucial, since digital twins facilitate not only the analysis of soil, climate, yield, and plant data but also the forecast of changes in these parameters. Accumulating and analysing vast amounts of information, digital twins help optimize the use of resources such as water, fertilizers, and pesticides, which in turn leads to increased yields and reduced costs. Moreover, digital twins enable the automation of many processes in agriculture, including the management of agricultural machinery and equipment. They provide the capability for more precise and efficient control of units such as tractors and combines, and also assist in predicting and preventing equipment failures, thereby reducing time and financial losses. (Research purpose) The paper aims to analyze software products used in the design and development of digital twins.(Materials and methods) The paper evaluates various software programs, selected based on their functionality range and compatibility with other systems.(Results and discussion) The paper assesses the effectiveness of each program in fulfilling its intended tasks. The provided examples highlight distinct features of each software type. Criteria for program selection were formulated. (Conclusions) The findings delineate the characteristics and functionalities of the evaluated software products, thereby determining their functional capabilities. Necessary requirements were defined to facilitate decision-making in selecting programs with similar functionality.

We describe a web-based tool, MakeSBML (https://sys-bio.github.io/makesbml/), that provides an installation-free application for creating, editing, and searching the Biomodels repository for SBML-based models. MakeSBML is a client-based web application that translates models expressed in human-readable Antimony to the System Biology Markup Language (SBML) and vice-versa. Since MakeSBML is a web-based application it requires no installation on the user’s part. Currently, MakeSBML is hosted on a GitHub page where the client-based design makes it trivial to move to other hosts. This model for software deployment also reduces maintenance costs since an active server is not required. The SBML modeling language is often used in systems biology research to describe complex biochemical networks and makes reproducing models much easier. However, SBML is designed to be computer-readable, not human-readable. We therefore employ the human-readable Antimony language to make it easy to create and edit SBML models.

Agricultural business methods are no longer possible without computer technology, which helps to identify animals, record productivity and monitor their health. Therefore, the study aims to conduct a comparative analysis of the functionality of the main dairy farm management software for their objective assessment from the point of view of milk producers. For this purpose, information from the official websites of software products was analysed and scientific articles analysing this software were collected. As a result, all software products were divided into 3 categories: software for controlling dairy productivity and managing processes on a dairy farm from dairy equipment manufacturers; such software products include DairyPlan C21 (GEA), DATAFLOW II (Milkline), AfiFarm (Afimilk), DelPro (DeLaval) and FARMSOFT (Farmtec a. s.); dairy farm management software DairyComp 305 and UNIFORM-Agri, as well as farm software from post-Soviet developers – MilkCentre (CIAB Expert). Programmes from dairy equipment manufacturers were almost at the same level and had virtually all the necessary blocks for identifying, controlling and managing animals on a dairy farm. The software developed for dairy farm management is more effective in tandem with one of the milking parlour programmes. This class of software expands the possibilities for managing reproductive and veterinary work on the farm, as well as reduces the workload on staff by generating automatic reports for regulatory authorities and management. The third class of programs is the least developed compared to the above, but it compensates for this shortcoming by constant improvement due to the continuous contact of developers with the manufacturer. Thus, there is a significant number of software products on the software market that can provide dairy management for farms of various sizes

One of the fundamental aspects of genomic research is the identification of differentially expressed (DE) genes between two conditions. In the past decade, numerous DE analysis tools have been developed, employing various normalization methods and statistical modelling approaches. In this article, we introduce DElite, an R package that leverages the capabilities of four state-of-the-art DE tools: edgeR, limma, DESeq2, and dearseq. DElite returns the outputs of the four tools with a single command line, thus providing a simplified way for non-expert users to perform DE analysis. Furthermore, DElite provides a statistically combined output of the four tools, and in vitro validations support the improved performance of these combination approaches for the detection of DE genes in small datasets. Finally, DElite offers comprehensive and well-documented plots and tables at each stage of the analysis, thus facilitating result interpretation. Although DElite has been designed with the intention of being accessible to users without extensive expertise in bioinformatics or statistics, the underlying code is open source and structured in such a way that it can be customized by advanced users to meet their specific requirements. DElite is freely available for download from https://gitlab.com/soc-fogg-cro-aviano/DElite.

Technological developments give birth to new creative ideas and create something that never existed before. The digital world is the main medium to make this happen. Every day more than millions of people use or log in to the internet for various purposes, from scientific research to playing interactive games in cyberspace, or from trading or e-commerce to surfing gambling sites. In this case, there is a legal instrument Law no. 28 of 2014 concerning Copyright which applies in Indonesia where one of the objects that receives copyright protection is a computer program, in this case software. With this, it can be said that the copyright regime has received new challenges after the internet, one of which is the protection of software or computer programs. However, violations of current developments are also increasingly common with the advent of the internet. Software is a computer program that is often used as an object of piracy. Software piracy has long been a serious problem. Software piracy that is often carried out is on CD media, the Internet, and often even directly from computer to computer using a data cable. As a result, Indonesia is faced with the impacts and problems of piracy which are quite significant and well known both internationally and in Indonesia itself. Regulations related to copyright through Law Number 28 of 2014 are currently considered not yet firm enough to regulate software piracy. Therefore, the problem formulation in this research that is studied is: a) What is the form of copyright protection from acts of software piracy in terms of international law b) How is the regulation of legal copyright protection for computer programs (software) according to Law Number 28 of the Year 2014 concerning Copyright and what factors constitute obstacles to its implementation. Meanwhile, the research method uses normative research, namely this research approach is based on library materials which are secondary data or also known as Library Law Research. Meanwhile, data analysis was carried out qualitatively.

Abstract Identification of preferential flow‐paths, such as fractures, is required for various issues in geosciences. When chemicals are injected into the subsurface, monitoring the resulting structural and chemical changes remains a challenge. The ability of geophysical tomography to tackle this problem is not fully explored due to the lack of numerical methods suitable for modeling narrow structures. We explore how discrete representation of preferential flow‐paths provides innovative ways to invert electrical resistivity data collected during reagent injection at a contaminated site. The data set is inverted with a scheme where a new fracture is added at every iteration. This allows identifying newly created narrow conductive structures from the field data collected before and after injection. Fracture location remains overall consistent despite using different starting points for the fracture search. A prior constraint on fracture length improves convergence. These results show the potential of discrete inversion for identifying narrow structures from electrical resistivity monitoring.

This paper presents an innovative ‘strain acceleration method’ for determining the onset of diffuse necking in sheet forming tests using data obtained from digital image correlation (DIC). The method identifies the onset time of diffuse necking and provides the corresponding in-plane principal strain values by detecting a local extreme in the second derivative of the minor principal in-plane strain with respect to time at the edges of the sheet surface region where diffuse necking occurs. Results obtained from applying the method to tensile testing on two different materials and comparisons with available methods based on force-time or principal strain rate evolutions confirm its accuracy and validity. The new method was implemented in a computer software to be used for research and education that also enables determination of localized necking and fracture and plotting the strain loading paths in principal strain space.

Objective: to evaluate the usability of the “Systematic Review Support” computer system. Method: methodological study involving 21 students who evaluated the computer system in a remote and synchronous usability test. Two activities were carried out, containing 21 tasks simulating the initial steps of a review study, proposals for eliminating duplicate references, selecting studies and resolving disagreements between evaluators. At the end, participants answered the System Usability Scale questionnaire. The measures used were: completion rate with assistance (effectiveness) and time to complete the task (efficiency). The data was described in a table using the mean, standard deviation, minimum and maximum values. Results: in a total of 21 tasks, the participants had an assisted completion rate of 9% and an average time of 55.1 minutes (the expected time being 60 minutes). The average score provided by the System Usability Scale instrument was 82.4 (considering a score from 0 to 100), median 85; minimum value 35 and maximum 97.5. Conclusion: the computer system has the effectiveness and efficiency parameters required of a computer review tool. It has a usability score of 82.4 on a scale of 0 to 100 assessed by the System Usability Scale instrument. The version presented incorporates the adjustments identified in the test in use.

A pesquisa qualitativa explora experiências humanas que não podem ser quantificadas ou adequadamente representadas apenas por números. A visão tradicional de que a abordagem quantitativa, baseada no paradigma positivista, é superior já não é suficiente para explicar a complexidade dos fenômenos sociais e individuais

IntroductionVolatile organic compounds (VOCs) have attracted widespread attention due to their adverse effects on human health. Photocatalytic oxidation is an effective technology for degrading VOCs under ambient conditions.MethodsIn order to better understand the trends and development of global trends in photocatalytic oxidation of VOCs, the analysis of 2493 articles or reviews from the Science Citation Index Expanded (SCIE) in the Web of Science Core Collection, covering the period from 1998 to 2023, was conducted using CiteSpace and VOSviewer software.Results and DiscussionThe findings indicate significant growth in papers concerning photocatalytic oxidation of VOCs. China emerges as the most active country among the main drivers. Principal sources publishing relevant research are Applied Catalysis B-Environmental, Chemical Engineering Journal, Journal of Hazardous Materials, and Environmental Science and Technology. A relatively well-established theoretical framework has been developed for the study of photocatalytic oxidation of VOCs. In the field of VOCs photocatalytic oxidation, the focus is on the development and optimization of advanced photocatalysts with efficient charge separation, better adsorption performance, and a wider light response range. In addition, the in-depth study of the charge generation and transfer mechanisms within the photocatalysts, as well as the comprehensive understanding of the reaction kinetics and catalytic oxidation process, the optimization of the reaction conditions, and the improvement of the catalytic efficiency are at the forefront of the research in this field. This research system is advancing and becoming more refined, with its theoretical propositions, research findings, and methodologies increasingly employed and confirmed.

La entonación es una habilidad imprescindible en el aprendizaje de instrumentos musicales, sobre todo en los de entonación variable, como los de viento-metal y cuerda frotada. Un problema frecuente es que el alumnado principiante encuentra muchas dificultades de entonación en estos instrumentos durante su aprendizaje. Por ello, dedica una gran cantidad de tiempo a su práctica, al igual que el profesorado en la corrección de los errores relacionados. Este estudio de validación es parte de uno de más largo alcance que ha diseñado e implementado un software (INTON, nombre ficticio) para evaluar a tiempo real la entonación en el aprendizaje de instrumentos de cuerda frotada y de viento metal. Para conocer si este software daba respuesta a las necesidades educativas detectadas, se ha realizado un estudio de validación basado en cuestionario que fue cumplimentado por profesorado de escuelas de música y conservatorios de España y Chile (n=41). El cuestionario incluyó tres dimensiones de validación (técnica, educativa y global). Una dimensión sobre uso de tecnología digital educativa, así como experiencia profesional, género, edad y formación profesional actuaron como covariables para analizar la influencia en las dimensiones de validación. Los resultados cuantitativos fueron triangulados con los cualitativos recogidos en dos grupos focales (n=10) con el fin de dotar de credibilidad a la interpretación de los resultados. Los resultados indican que INTON ha sido evaluado de manera muy positiva por el profesorado en las tres dimensiones de validación; se han producido correlaciones positivas entre las tres dimensiones, así como una correlación positiva entre el uso de tecnología digital educativa y la valoración del software. Los resultados de esta validación del software INTON respaldan su eficacia y utilidad para el desarrollo de la entonación en instrumentos de viento-metal y cuerda frotada en el nivel inicial de los estudios musicales.

Background Magnetic resonance imaging localises cancer in the prostate, allowing for a targeted biopsy with or without transrectal ultrasound-guided systematic biopsy. Targeted biopsy methods include cognitive fusion, where prostate lesions suspicious on magnetic resonance imaging are targeted visually during live ultrasound, and software fusion, where computer software overlays the magnetic resonance imaging image onto the ultrasound in real time. The effectiveness and cost-effectiveness of software fusion technologies compared with cognitive fusion biopsy are uncertain. Objectives To assess the clinical and cost-effectiveness of software fusion biopsy technologies in people with suspected localised and locally advanced prostate cancer. A systematic review was conducted to evaluate the diagnostic accuracy, clinical efficacy and practical implementation of nine software fusion devices compared to cognitive fusion biopsies, and with each other, in people with suspected prostate cancer. Comprehensive searches including MEDLINE, and Embase were conducted up to August 2022 to identify studies which compared software fusion and cognitive fusion biopsies in people with suspected prostate cancer. Risk of bias was assessed with quality assessment of diagnostic accuracy studies-comparative tool. A network meta-analysis comparing software and cognitive fusion with or without concomitant systematic biopsy, and systematic biopsy alone was conducted. Additional outcomes, including safety and usability, were synthesised narratively. A de novo decision model was developed to estimate the cost-effectiveness of targeted software fusion biopsy relative to cognitive fusion biopsy with or without concomitant systematic biopsy for prostate cancer identification in biopsy-naive people. Scenario analyses were undertaken to explore the robustness of the results to variation in the model data sources and alternative assumptions. Results Twenty-three studies (3773 patients with software fusion, 2154 cognitive fusion) were included, of which 13 informed the main meta-analyses. Evidence was available for seven of the nine fusion devices specified in the protocol and at high risk of bias. The meta-analyses show that patients undergoing software fusion biopsy may have: (1) a lower probability of being classified as not having cancer, (2) similar probability of being classified as having non-clinically significant cancer (International Society of Urological Pathology grade 1) and (3) higher probability of being classified at higher International Society of Urological Pathology grades, particularly International Society of Urological Pathology 2. Similar results were obtained when comparing between same biopsy methods where both were combined with systematic biopsy. Evidence was insufficient to conclude whether any individual devices were superior to cognitive fusion, or whether some software fusion technologies were superior to others. Uncertainty in the relative diagnostic accuracy of software fusion versus cognitive fusion reduce the strength of any statements on its cost-effectiveness. The economic analysis suggests incremental cost-effectiveness ratios for software fusion biopsy versus cognitive fusion are within the bounds of cost-effectiveness (£1826 and £5623 per additional quality-adjusted life-year with or with concomitant systematic biopsy, respectively), but this finding needs cautious interpretation. Limitations There was insufficient evidence to explore the impact of effect modifiers. Conclusions Software fusion biopsies may be associated with increased cancer detection in relation to cognitive fusion biopsies, but the evidence is at high risk of bias. Sufficiently powered, high-quality studies are required. Cost-effectiveness results should be interpreted with caution given the limitations of the diagnostic accuracy evidence. Study registration This trial is registered as PROSPERO CRD42022329259. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: 135477) and is published in full in Health Technology Assessment; Vol. 28, No. 61. See the NIHR Funding and Awards website for further information. Plain language summary Men with an magnetic resonance imaging scan that shows possible prostate cancer (PCa) are offered prostate biopsies, where samples of the prostate tissue are collected with a needle, to confirm the presence and severity of cancer. Different biopsy methods exist. In a cognitive fusion biopsy, clinicians will target abnormal looking parts of the prostate by looking at the magnetic resonance imaging scan alongside ‘live’ ultrasound images. During a software fusion (SF) biopsy, a computer software is used to overlay the magnetic resonance imaging scan onto the ultrasound image. This study evaluated whether SF is better at detecting cancer compared with cognitive fusion biopsy, and whether it represents value for money for the National Health Service. We did a comprehensive review of the literature. We combined and re-analysed the evidence, and assessed its quality. We investigated whether SF biopsies are sufficient value for money. Compared with cognitive fusion, patients receiving a SF biopsy may have: (1) a lower probability of having a ‘no cancer’ result, (2) similar probability of having a benign, non-clinically significant (CS) cancer result and (3) higher probability of detecting CS cancer. However, it is uncertain to what extent SF is more accurate than cognitive fusion, because of concerns about the quality of the evidence. We found no evidence that any SF devices were superior to others. Using additional, random biopsies alongside software or cognitive fusion would increase the detection of PCa. We also looked for evidence on the value for money of the SF biopsies to detect PCa and found no relevant studies. We weighed the costs and the benefits of SF biopsy compared to cognitive fusion to determine whether it could be a good use of National Health Service money. The poor quality of information makes the value of the technologies largely unknown. Scientific summary Background Prostate cancer (PCa) is the most commonly diagnosed cancer in men in the UK. In the NHS people with suspected PCa are offered multiparametric magnetic resonance imaging (mpMRI). People with suspected PCa, according to MRI, are offered a biopsy procedure to confirm the presence and severity of cancer. Traditionally patients were offered a systematic transrectal, ultrasound-guided prostate biopsy (or systematic biopsy). Since the introduction of mpMRI, specific areas of abnormal tissue can be targeted, by combining (or fusing) the results of mpMRI and ultrasound imaging. Several methods for fusing MRI and ultrasound images exist, including cognitive fusion (CF), in which a region of interest is identified prior to biopsy and the biopsy operator estimates where it might be on an ultrasound image, and software fusion (SF), where regions of interest on magnetic resonace images are identified and contoured before biopsy and overlayed with the prostate contours on ultrasound images during the biopsy. Systematic biopsy may be used in addition to targeted biopsy. A number of SF technologies are available. However, the effectiveness and cost-effectiveness of SF compared with CF is uncertain. Objectives This study aimed to assess the clinical and cost-effectiveness of SF biopsy systems in people with suspected localised and locally advanced PCa. Methods Systematic review A systematic review of the diagnostic accuracy, clinical effectiveness, safety and practical implementation of nine SF systems compared with CF and with each other, in people suspected PCa according to MRI was conducted. Comprehensive bibliographic searches, including MEDLINE and EMBASE and supplementary sources, were conducted up to 2 August 2022 for published and unpublished literature. Studies of people with suspected PCa who have had a MRI scan that indicates a significant lesion [Likert or prostate imaging – reporting and data system (PI-RADS) score of 3 or more], including biopsy-naive and repeat biopsy patients with a previous negative prostate biopsy, and comparing SF with CF or with another SF device, were included. The following SF technologies were included: ARTEMIS (InnoMedicus ARTEMIS), BioJet (Healthcare Supply Solutions Ltd), BiopSee (Medcom), bkFusion (BK Medical UK Ltd and MIM Software Inc.), Fusion Bx 2.0 (Focal Healthcare), FusionVu (Exact Imaging), iSR’obot Mona LisaTM (Biobot iSR’obot), KOELIS Trinity (KOELIS and Kebomed) and UroNav Fusion Biopsy System (Phillips). Previous versions were also eligible. In-bore (or in-gantry) biopsies were excluded. Prospective, randomised and non-randomised comparative studies were included, and retrospective evidence where no prospective evidence could be found for an eligible SF device. To provide sufficient evidence for a network meta-analysis (NMA), within-patient comparisons or randomised controlled trials (RCTs) between SF and systematic biopsy, and between CF and systematic biopsy, were also eligible to inform indirect comparisons of diagnostic accuracy. Two researchers independently screened the titles and abstracts of all reports identified by the bibliographic searches and of all full-text papers subsequently obtained. Data extraction and quality assessment were conducted by at least one researcher and checked by a second. Risk of bias of diagnostic accuracy studies was assessed using quality assessment of diagnostic accuracy studies-comparative (QUADAS-C). For diagnostic accuracy outcomes, studies reporting sufficient data were included in network meta-analyses comparing SF and CF with or without concomitant systematic biopsy, and systematic biopsy alone, where odds of being categorised in each of different cancer grades were allowed to vary by biopsy type. Results were reported as odds ratios with 95% credible intervals (CrIs). Additional diagnostic accuracy results that could not be pooled in a meta-analysis and clinical effectiveness, safety and implementation outcomes were synthesised narratively. Economic analysis Cost-effectiveness evidence comparing SF biopsy systems with CF for targeted prostate biopsy in men with suspected PCa was identified by the previously mentioned searches, with evidence narratively summarised and tabulated. Studies were appraised for their quality, generalisability and appropriateness to inform the decision problem as defined by the National Institute for Health and Care Excellence Diagnostics Assessment Report (NICE DAR) scope. A targeted search was conducted to identify evidence to support the development of a de novo decision model. The searches aimed to identify cost-effectiveness evidence of diagnostic strategies at the point of biopsy to support the model conceptualisation. Evidence was reviewed to (1) identify value components of the biopsy approaches, (2) characterise alternative mechanisms of evidence linkage from disease prevalence, diagnostic accuracy, choice of treatment to final outcomes, and (3) identify any UK-relevant sources of evidence. A de novo decision analytic model was developed to estimate the cost-effectiveness of SF compared to CF. The model evaluated two strategies for two alternative comparisons: (1) targeted SF biopsy versus targeted cognitive biopsy and (2) combined (targeted and systematic) SF biopsy versus combined cognitive biopsy. The four strategies could not be incrementally compared due to the mechanism of evidence generation for the diagnostic accuracy, which relied on separate evidence networks. The de novo model consisted of two components: (1) a decision tree, which captured biopsy adverse events (AEs), repeated biopsies and classified individuals according to their biopsy results and underlying true disease status, and (2) long-term model to link classification to clinical management decisions and this to longer-term costs and consequences (e.g. disease progression and PCa mortality) so that differences in costs, life-year gains and quality-adjusted life-years (QALYs) were quantified over a lifetime horizon. The model required the development of (1) an extension to the evidence synthesis to allow quantifying the extension of test misclassification in the diagnostic model with SF biopsy and CF biopsy, and (2) an inference model to derive unobservable transition probabilities for the long-term model. Results The systematic review of clinical evidence included a total of 3733 patients who received SF and 2154 individuals with CF from 23 studies. Evidence was included for all devices specified in the protocol, except for Fusion Bx 2.0 and FusionVu. Overall, the evidence for all devices was at high risk of bias. Overall, biopsy-naive patients were under-represented. Fourteen studies were included in the meta-analyses. Diagnostic accuracy Across all analyses results must be interpreted with caution due to the high risk of bias in the evidence base and wide uncertainty over the results. The meta-analyses show that patients undergoing SF biopsy may have: (1) a lower probability of being classified as not having cancer, (2) similar probability of being classified as having non-clinically significant cancer [International Society of Urological Pathology (ISUP) grade 1], and (3) higher probability of being classified at higher ISUP grades, particularly ISUP 2. Similar results were obtained where both biopsy methods were combined with systematic biopsy. Additional meta-analyses of cancer detection rates suggest that, compared with CF biopsy, SF may identify more PCa (any grade) (OR 1.30; 95% CrI 1.06, 1.61). Adding systematic biopsy to cognitive or SF may increase the detection of all PCa and of clinically significant (CS) cancer, and from this evidence there is no suggestion that SF with concomitant systematic biopsy is superior to CF with systematic biopsy. Meta-analyses of cancer detection rates, by individual device, showed that compared with CF biopsy, BioJet and Urostation are associated with a higher detection of PCa overall. There was no evidence that any of the SF devices increased detection of CS cancer (except for BioJet, although this is based on one low-quality study), and overall, the evidence was insufficient to conclude whether any individual devices were superior to CF, or whether some SF technologies are more accurate than others. Clinical effectiveness There is no evidence that biopsy positivity rates and safety outcomes differ significantly between SF and CF, or between SF devices. There was some evidence that systems with rigid registration (BioJet or UroNav) are easier and faster to use than elastic registration (KOELIS Trinity), although this is informed by a single, small study and is not conclusive. Cost-effectiveness One full cost-effectiveness study of SF compared targeted SF to targeted CF. However, the findings of the study were not considered generalisable to the decision problem under assessment. Sixteen studies were identified of which nine were selected to inform the conceptualisation and parameterisation of the de novo decision model. The base-case cost-effectiveness analysis suggests for the targeted biopsy and the combined biopsy comparisons, that SF strategy is on average costlier and yields greater QALYs than the CF strategy, resulting in a probabilistic incremental cost-effectiveness ratio (ICER) of £6197 and £2199 per additional QALY for each comparison, respectively. These ICERs are below the lower bound of the cost-effectiveness threshold range recommended by NICE, suggesting that SF may be cost-effective compared to CFs in both the targeted and the combined comparisons. However, these results should be interpreted cautiously given the uncertainties in the relative diagnostic accuracy evidence which informs the model. The probabilistic analysis suggests a higher probability of cost-effectiveness for SF versus CF at the range of cost-effectiveness thresholds recommended by NICE (0.64 and 0.68 at £20,000 and £30,000 per additional QALY for targeted SF biopsy). Discussion This assessment includes a broad, comprehensive literature search for software and CF technologies and has been conducted following recognised guidelines to ensure high quality. The review identified evidence on the diagnostic accuracy of nine SF technologies, and is the first systematic review to formally compare the relative accuracy of SF and CF, with and without systematic biopsy, as well as different SF devices, using both direct and indirect evidence in a NMA. Unlike recent systematic review evidence, our review found that SF increased detection of clinically insignificant cancer compared with CF. Our review has a number of limitations. The evidence included in the systematic review is at high risk of bias overall. There was variation in patient and study characteristics. Biopsy-naive patients, who form the large majority of patients eligible for targeted biopsy, were under-represented, although there was insufficient evidence to evaluate whether the relative accuracy of software and CF differed between biopsy-naive and repeat biopsy patients. There was insufficient evidence to explore the impact of a number of other potential effect modifiers, including lesion location, operator experience, biopsy routes and anaesthesia methods. There were few studies per comparison, not all studies reported outcomes by all cancer grades, and most estimates from the meta-analyses were imprecise, particularly at higher cancer grades where data were most sparse. The network meta-analyses relied on the assumption that CF was equivalent across different centres, which is uncertain. No evidence was found for most of this assessment’s prespecified outcomes: biopsy sample suitability/quality, number of repeat biopsies performed, procedure completion rates, software failure rate, time to diagnosis, length of hospital stay, time taken for MR image preparation, subsequent PCa management, re-biopsy rate, hospitalisation, overall survival, progression-free survival (PFS), patient- and carer- reported outcomes [including tolerability and health-related quality of life (HRQoL)], barriers and facilitators to implementations. The cost-effectiveness results are driven by the modelled differences in diagnostic accuracy between software and CF, particularly the increased correct detection of Cambridge Prognostic Group 1 (CPG 1) (resulting in net losses for SF) and CPG 2 (resulting in net gains for SF). The External Assessment Group (EAG)’s NMA and its extension underpinned the economic model, so its limitations apply to the cost-effectiveness estimates. The magnitude of value realised for SF, compared with CF, depends on the balance between different degrees of misclassification and correct classification with the two technologies and on the prevalence of disease at each cancer grade. The value of SF is thus driven by comparative diagnostic accuracy (compared to ‘gold standard’) derived where evidence is particularly sparse (cancer grades above 2), and by prevalence, which is also affected by evidence sparsity. Therefore, the estimates of cost-effectiveness are affected by unquantified uncertainty and should be interpreted with caution. Conclusions Compared to CF biopsy, patients undergoing SF biopsy may show a lower probability of being classified as not having cancer, similar probability of being classified as having non-CS cancer, and a higher probability of being classified at higher ISUPs, particularly ISUP 2. Both SF and CF biopsy can miss CS cancer lesions, and the addition of standard-systematic biopsy increases the detection of all PCa and CS cancer for both fusion methods. There is insufficient evidence to conclude on the relative accuracy and clinical effectiveness of different software devices. Cost-effectiveness estimates comparing software to CF were generally favourable to SF, except where the technologies were assumed to have the same diagnostic accuracy. The drivers of economic value of SF, comparative diagnostic accuracy and prevalence, are affected by unquantified uncertainty. Judgements on the economic value of SF require integration of the uncertainties over the clinical evidence with the overall cost-effectiveness. Recommendations for further research High-quality, sufficiently powered RCT evidence comparing SF biopsy with CF biopsy is required to address limitations from the existing evidence. Improved reporting of diagnostic accuracy outcomes would enable future syntheses to make use of a larger body of evidence. Study registration This trial is registered as PROSPERO CRD42022329259. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: 135477) and is published in full in Health Technology Assessment; Vol. 28, No. 61. See the NIHR Funding and Awards website for further information.

Objective to develop and validate the content and technical aspects of a web software program for promoting mental health in the workplace. Method: applied methodological study and technological development, carried out in three stages: 1) Umbrella review development; 2) Web software development; 3) Content and technical validation carried out by 14 judges. The data was submitted to descriptive statistical analysis and calculation of the content validity index. Results: based on the guidelines’ recommendations, information was defined and extracted in order to develop the web software consisting of the following dimensions: mental health education, support among coworkers, promotion strategies and mental health self-assessment. For the technical development, the objectives, general functions and technological infrastructure were defined. After development and functional testing, the version was made available for content and technical validation by judges. The overall content validity index was 0.98 and for the technical aspects it was 0.97. Conclusion: the agreement between the judges in relation to the content and technical aspects, as well as the suggestions incorporated, demonstrated the potential for using web software to promote mental health in the workplace.

Abstract This study employed e-Vol DXS cone beam computed tomography (CBCT) software to assess dentin remnants in the furcation area of mesial canals in mandibular molars during root canal retreatment (RCR). Four groups (Reciproc®, ProTaper Next®, Race Evo®, Protaper Gold®) were subjected to RCR, and CBCT images were captured before (T1) and after (T2) treatment. Measurements of remaining dentin thickness at 1 mm and 3 mm below the furcation were scrutinized. Results revealed no significant differences in mean thicknesses of mesiobuccal (MB) and mesiolingual (ML) canals at 1 mm and 3 mm from the furcation pre-treatment (T1). Post-treatment (T2) showed analogous findings, with no significant differences in mean thicknesses. However, disparities were found between MB and ML canals at both distances, both before and after retreatment. In essence, the evaluated instruments exhibited safety in RCR, implying that they are appropriate for use in critical areas of mandibular molars without inducing excessive wear. This study underscores the reliability of these instruments in navigating danger zones during RCR, and contributes valuable insights for dental practitioners who handle complex root canal scenarios in mandibular molars.

Fault injection attacks are a serious threat to system security, enabling attackers to bypass protection mechanisms or access sensitive information. To evaluate the robustness of CPU-based systems against these attacks, it is essential to analyze the consequences of the fault propagation resulting from the complex interplay between the software and the processor. However, current formal methodologies combining hardware and software face scalability issues due to the monolithic approach used. To address this challenge, this work formalizes the k-fault-resistant partitioning notion to solve the fault propagation problem when assessing redundancy-based hardware countermeasures in a first step. Proven security guarantees can then reduce the remaining hardware attack surface when introducing the software in a second step. First, we validate our approach against previous work by reproducing known results on cryptographic circuits. In particular, we outperform state-of-the-art tools for evaluating AES under a three-fault-injection attack. Then, we apply our methodology to the OpenTitan secure element and formally prove the security of its CPU’s hardware countermeasure to single bit-flip injections. Besides that, we demonstrate that previously intractable problems, such as analyzing the robustness of OpenTitan running a secure boot process, can now be solved by a co-verification methodology that leverages a k-fault-resistant partitioning. We also report a potential exploitation of the register file vulnerability in two other software use cases. Finally, we provide a security fix for the register file, prove its robustness, and integrate it into the OpenTitan project.

Os serious games despontam como ferramentas de ensino que são jogos com um propósito para além do entretenimento, tendo como objetivo a melhoraria de algum aspecto do processo de ensino-aprendizagem. Frente a alta prevalência de doenças crônicas não transmissíveis na população brasileira, o objetivo do presente estudo foi avaliar, por meio de uma revisão sistemática da literatura, o potencial dos serious games como instrumento de Educação Alimentar e Nutricional. Para tanto, buscou-se nas bases de dados PubMed, Biblioteca Virtual de Saúde e SciELO, artigos publicados nos últimos cinco anos, nos idiomas inglês e português. Um total de 63 estudos foram identificados, dos quais apenas dez atenderam aos critérios de inclusão e exclusão estabelecidos para esta revisão. A maioria dos estudos reportaram desfechos positivos com a utilização dos serious games como ferramenta educativa, encontrando efeitos positivos na retenção dos conhecimentos aprendidos sobre alimentação e nutrição, e a sua utilização se mostrou promissora como uma alternativa às metodologias de ensino tradicionais. Apesar disso, os estudos apresentaram limitações quanto a duração das intervenções e a representatividade do tamanho de suas amostras, indicando a necessidade de futuros estudos com delineamento metodológico que supram tais lacunas. A partir desta revisão, demonstra-se que abordagens gamificadas de educação nutricional parecem promissoras no contexto do processo de ensino-aprendizagem, mas que ainda carecem de padronização metodológica para que intervenções baseadas em serious games sejam validadas como instrumento de Educação Alimentar e Nutricional.

Today software import-substitution in spheres and sectors of Russian economy is a priority trend in state programs being realized in the Russian Federation. The author analyzed governmental decisions concerning software import-substitution, studied software introduced in substituting foreign software at enterprises of Russian economy, showed its developers and prospects of its development. Apart from that, the article underlined that by 2025 according to state programs home-made software shall be used by organizations related to entities of critical information infrastructure such as banking sector, missile and space industry, military-industrial complex, nuclear and mining industry, public health service, science, iron-and-steel making and chemicals industry. At the same time import-substitution policy in general promotes upgrading of the payments balance structure, development of the academic sector and innovation technologies, growth in effective communication with developers of economic projects, where software is functioning, increase in the level and diversity of means and methods of information security, technological independence, population employment, cutting risks and raising competitiveness of industries and sectors of Russian economy. In line with numerous positive moments import-substitution policy demonstrates such drawback as closeness from some innovation of global economy. However, in conditions of sanctions the development of our own software, its efficient use in economic entities can provides cyber-security and technological independence.

Introduction. Today, in the Russian Federation the authorities face the task of transition to domestic digital solutions at all levels of government. This issue is especially relevant in the conditions of economic sanctions. Theoretical analysis. According to the results of the analysis of the market of digital services that are used in the public authorities of the Russian Federation, we can conclude that in some categories there is still a dependence on the use of foreign solutions. Among such services messengers, video communication services and email clients were singled out. Empirical analysis. On the basis of the analysis, the author concludes that at the moment the issue of the use of a single messenger of Russian development by employees of government bodies has not been solved at the legislative level. Results. As a result of the analysis, to solve the problem, the author proposes to form unified technical requirements to messengers for the authorities, to approve the list of messengers and services authorized for use in the authorities for official communications, to establish a complete ban on the use of foreign messengers for official communications in the authorities and to approve the list of manufacturers of devices from which access to domestic messengers and services is allowed.

Abstract We present Svetlana (SuperVised sEgmenTation cLAssifier for NapAri), an open-source Napari plugin dedicated to the manual or automatic classification of segmentation results. A few recent software tools have made it possible to automatically segment complex 2D and 3D objects such as cells in biology with unrivaled performance. However, the subsequent analysis of the results is oftentimes inaccessible to non-specialists. The Svetlana plugin aims at going one step further, by allowing end-users to label the segmented objects and to pick, train and run arbitrary neural network classifiers. The resulting network can then be used for the quantitative analysis of biophysical phenoma. We showcase its performance through challenging problems in 2D and 3D and provide a comprehensive discussion on its strengths and limits.