MS Windows Research Articles

The Acute Coronary Syndrome Risk in Medically Managed Subjects with Type 2 Diabetes Mellitus - Is the ASCVD Risk Score Failing Here?

Type 2 Diabetics have elevated risk for acute coronary syndrome (ACS). The current management algorithm focuses on atherosclerotic cardiovascular (ASCVD) risk score to stratify this risk. However, in medically managed subjects, this algorithm may not be accurate. This study compares the ASCVD risk score in an Indian population with T2DM under medical supervision and the actual incidence of ACS. It also compared the ASCVD risk scores in cases with T2DM who developed ACS to controls and tried to estimate whether the ASCVD risk score is different in the two subsets, evaluating the utility of the ASCVD risk score in predicting ACS. This is an electronic medical record (EMR) based case-control study. Only records of subjects with T2DM where details of age, sex, body mass index, blood pressure, duration of diabetes, family history of ACS, lipid profile, renal and liver function tests were included. The incidence of ACS was calculated in the selected records, and the records of subjects with ACS were compared with age and sex-matched subjects without ACS. Data are summarized as median and interquartile range (IQR). Wilcoxon rank-sum test was used for checking differences in continuous variables and Pearson's Chi-squared test for categorical data. Univariate and multivariate logistic regression analyses were used to check the effect of ASCVD scores and other variables on the occurrence of ACS.Statistical data analyses were performed using JASP, version 0.16.4 (JASP Team [2022]) for MS Windows. Of the 1226 EMRs included in the analysis, 207 had ACS. The actual incidence of ACS was 16.85% in 6 years, higher than the mean predicted 10-year incidence of 14.56 percent (p <0.05). The cases were age and sex-matched with controls and the ASCVD incidence was estimated in the two groups. The mean ASCVD score in the cases was 14.565 ± 8.709 (Min: 1.5, Max: 38.3) and controls 13.114 ± 8.247 (Min: 1.4, Max: 45). The chance of development of ACS increases with elevated systolic blood pressure (per mmHg rise OR: 1.04, 95% CI: 1.03, 1.06; p <0.001), positive family history (OR: 5.70, 95% CI: 3.41, 9.77; p <0.001), statin use (OR: 2.26, 95% CI: 1.46, 3.52; p <0.001), and longer duration of diabetes (for every year increase OR: 1.19, 95% CI: 1.13, 1.25; p <0.001). The ASCVD risk score underestimates the ACS risk in subjects with T2DM under medical supervision and may not differ in those who developed and did not develop ACS. We also conclude that factors like a negative family history (30% less risk), longer duration of diabetes, and higher SBP are relevant in those who developed ACS.

Lateral Posterior Method for Depth Correction while Using the Gates Protocol for GFR Estimation: Is it Comparable to the Gold Standard GFR Estimation by Plasma Sampling?

Background Glomerular filtration rate (GFR) estimation by Gates protocol using the gamma camera for diethylenetriaminepentaacetic acid (DTPA) dynamic renography has not compared well with the gold standard GFR by plasma sampling method. This is because depth of the kidneys is generally not considered. Our aim was to study whether manual depth correction using the skin to middle of kidney distance in lateral view and posterior aspect-lateral posterior method would reduce the bias in the Gates GFR as compared with the gold standard. Materials and Methods Retrospective study of 27 adult prospective renal donors who underwent GFR by plasma sampling and DTPA dynamic renography at Inlaks and Budhrani Hospital, Pune, Maharashtra, India between January 2022 and April 2023. The entire data was statistically analyzed using Statistical Package for Social Sciences (SPSS ver 21.0, IBM Corporation, United States) for MS Windows. Results There is no significant agreement between plasma sampling versus gamma camera method and plasma sampling versus lateral posterior method for depth correction for GFR measurements; however, the evidence of systemic bias is lower for the gamma camera method compared with the lateral posterior method for depth correction as against the plasma sampling method. Conclusion The lateral posterior method for depth correction while using the gamma camera-based Gates protocol is not a reliable method for depth correction in the western Indian adult population with preserved renal function.

Ensemble Learning for Robust Malware Detection in the Windows 7 Environment

In today's digital era, the exponential growth in the dissemination of malicious software presents a formidable and pervasive threat to individuals and organizations alike. Malware, comprising of computer code or scripts, exhibits a propensity to override computer systems and engage in unauthorized activities, such as the illicit extraction of valuable information. The magnitude of such control is particularly perilous in the contemporary landscape. The rapid and constant evolution of malware compounds this risk, necessitating the development and implementation of sophisticated countermeasures to combat this pressing issue. In response to this challenge, this study has turned to the utilization of ensemble learning techniques as a means of effectively and accurately identifying and detecting malware. Specifically, the investigation focuses on the classification of applications on the MS Windows 7 and 8 operating systems as either malicious or benign, by leveraging static and dynamic features extracted from these applications. The foundational models employed in this study consist of recurrent neural networks (RNNs), trained on the dynamic features of malware, and convolutional neural networks (CNNs), and trained on the static features of malware. This comprehensive approach ensures that no malware goes undetected. Multiple techniques for constructing an ensemble model, such as Boosting, Stacking, and Bagging, are thoroughly examined and analyzed. Ultimately, the Bagging technique is deemed the most suitable and is consequently implemented in this study.

The LINUX Operating System: An Introduction

Linux is a Unix-like operating system for Intel 386/486/ Pentium based IBM-PCs and compatibles. The kernel of this operating system was written from scratch by Linus Torvalds and, although copyright by the author, may be freely distributed. A world-wide group of enthusiastic volunteers has collaborated in developing many aspects of Linux on the Internet. Linux can run the powerful set of compilers and programming tools (the 'GNU' corpus) of the Free Software Foundation, and XFree86, a port of the X Window System from MIT. Most capabilities associated with high performance workstations, such as networking, shared file systems, electronic mail, TEX, I*TE.X, etc. are freely available for Linux. It can thus transform cheap IBM-PC compatible machines into Unix workstations with considerable capabilities. The author explains how Linux may be obtained, installed and networked. He also describes some interesting applications for Linux that are freely available. One useful feature of Linux is its ability to coexist with other operating systems. Thus a user who has made an investment in DOS/ MS Windows software, may continue running these applications on his machine and install Linux on a separate partition on his existing hard disk. If needed, files from DOS/ MS Windows partitions can be accessed by Linux. The enormous consumer market for IBM-PC compatible machines continually drives down prices of CPU chips, memory, hard disks, CDROMs etc. Linux can convert such machines into powerful workstations that can be used for teaching, research and software development. For professionals who use Unix based workstations at work, Linux permits virtually identical working environments on their personal home machines. For cost conscious educational institutions (especially in developing nations), Linux can create world-class computing environments from cheap, easily maintained, PC clones. Finally, for university students, especially in science and engineering, Linux provides an essentially cost-free path away from DOS into the world of Unix and X Windows

Hapsolutely: a user-friendly tool integrating haplotype phasing, network construction, and haploweb calculation.

Haplotype networks are a routine approach to visualize relationships among alleles. Such visual analysis of single-locus data is still of importance, especially in species diagnosis and delimitation, where a limited amount of sequence data usually are available and sufficient, along with other datasets in the framework of integrative taxonomy. In diploid organisms, this often requires separating (phasing) sequences with heterozygotic positions, and typically separate programs are required for phasing, reformatting of input files, and haplotype network construction. We therefore developed Hapsolutely, a user-friendly program with an ergonomic graphical user interface that integrates haplotype phasing from single-locus sequences with five approaches for network/genealogy reconstruction. Among the novel options implemented, Hapsolutely integrates phasing and graphical reconstruction steps of haplotype networks, supports input of species partition data in the common SPART and SPART-XML formats, and calculates and visualizes haplowebs and fields for recombination, thus allowing graphical comparison of allele distribution and allele sharing among subsets for the purpose of species delimitation. The new tool has been specifically developed with a focus on the workflow in alpha-taxonomy, where exploring fields for recombination across alternative species partitions may help species delimitation. Hapsolutely is written in Python, and integrates code from Phase, SeqPHASE, and PopART in C++ and Haxe. Compiled stand-alone executables for MS Windows and Mac OS along with a detailed manual can be downloaded from https://www.itaxotools.org; the source code is openly available on GitHub (https://github.com/iTaxoTools/Hapsolutely).

Digital Technologies in Clinical Practice? Ethical and Legal Knowledge and Practice - A Questionnaire-Based Cross-Sectional Study

BACKGROUND&#x0D; Digital technologies have become indispensable tools in clinical practice, revolutionizing the way healthcare professionals deliver care, access information, and manage their daily routines. However, it also presents ethical and legal challenges that need to be carefully addressed. This study focused on the assessment of knowledge and practice among dental practitioners of using digital technologies in clinical setups.&#x0D; METHODS&#x0D; The descriptive cross-sectional survey was conducted using the well-structured, pretested, questionnaire consisting of close-ended questions and was statistically analyzed using Statistical Package for Social Sciences (SPSS version 3.1.9) for MS Windows.&#x0D; RESULTS&#x0D; Overall knowledge of participants between different years of practice (P-0.702) and between general dentists and specialties (P-0.09) had no statistically significant difference unlike in practices between the groups.&#x0D; CONCLUSIONS&#x0D; To navigate these issues effectively, healthcare organizations should establish comprehensive policies and procedures for their efficient use in clinical practice along with education programs for professionals.

Real-time interactive 3d simulation of Atrial Fibrillation for education

Abstract Background The mechanistic understanding of atrial fibrillation (AF) has burgeoned over the past decades. However, the interplay between triggers, reentry, drivers and therapies is rarely fully appreciated despite being ultimately fundamental to patient care. Readily accessible, high-fidelity interactive simulation has the potential to address this knowledge gap across healthcare providers. Objective To develop a, interactive simulation system to allow deep understanding of AF mechanisms and therapies. Methods An application for e-Training was developed to be accessible on consumer smartphones and tablets, based on a validated electromechanical simulation model of the heart, with real-time interactive 3D image output. A virtual heart is represented in normal and arrhythmic states, enabled with simulated models for administering antiarrhythmic drugs, performing Pulmonary Vein Isolation (PVI), AV Node ablation, ventricular pacing, DC Cardioversion, plus the formation of atrial thrombus leading to a stroke event. Electrogram and ECG signals are generated from the underlying simulation and respond realistically to drugs, pacing and ablation. A self-study tutorial introduces the arrhythmia and treatment procedures. Learning outcomes are assessed with MCQ tests and receive Continuous Professional Development CPD credits. Results The AFib Sim app has received CPD accreditation in the UK and has so far been used at the Universities of Oxford, Cambridge and Leeds medical schools. All trainees and medical students followed the self-study tutorials and took the interactive MCQ test, which are embedded within the AFib Sim app. Development was based on Unity 3D and was made available on iOS, Android, macOS, MS Windows and WebGL platforms. Conclusion This project meets an urgent training need whilst expanding expertise and market scope into clinical training. The impact on clinical training was high and the societal benefit came from better and quicker trained staff. Learning Objective Upon completion of this session, the attendee will be able understand how a simulation of Atrial Fibrillation can be used for training and deepening the clinical understanding of atrial fibrillation.

Decomposing the late positive potential to cannabis cues in regular cannabis users: A temporal-spatial principal component analysis.

Cannabis use disorder (CUD) is increasing in the United States, yet, specific neural mechanisms of CUD are not well understood. Disordered substance use is characterized by heightened drug cue incentive salience, which can be measured using the late positive potential (LPP), an event-related potential (ERP) evoked by motivationally significant stimuli. The drug cue LPP is typically quantified by averaging the slow wave's scalp-recorded amplitude across its entire time course, which may obscure distinct underlying factors with differential predictive validity; however, no study to date has examined this possibility. In a sample of 105 cannabis users, temporo-spatial Principal Component Analysis was used to decompose cannabis cue modulation of the LPP into its underlying factors. Acute stress was also inducted to allow for identification of specific cannabis LPP factors sensitive to stress. Factor associations with CUD severity were also explored. Eight factors showed significantly increased amplitudes to cannabis images relative to neutral images. These factors spanned early (~372 ms), middle (~824 ms), and late (>1000 ms) windows across frontal, central, and parietal-occipital sites. CUD phenotype individual differences were primarily associated with frontal, middle/late latency factor amplitudes. Acute stress effects were limited to one early central and one late frontal factor. Taken together, results suggest that the cannabis LPP can be decomposed into distinct, temporal-spatial factors with differential responsivity to acute stress and CUD phenotype variability. Future individual difference studies examining drug cue modulation of the LPP should consider (1) frontalcentral poolings in addition to conventional central-parietal sites, and (2) later LPP time windows.

The new σ-IASI code for all sky radiative transfer calculations in the spectral range 10 to 2760 cm-1: σ-IASI/F2N

The paper describes a recently developed forward model (σ-IASI/F2N) to produce spectral radiances from the far to near-infrared spectrum (100 to 2760 cm-1). The model is a pseudo-monochromatic radiative transfer tool that exploits lookup tables to compute the optical depths of atmospheric gas and clouds. Multiple scattering effects are accurately included in both the Far IR and Thermal IR by using a scaling method for cloud and aerosol radiative properties parameterized in terms of their effective radius, which allows them to be handled adopting the same formalism used in the clear sky. In this paper we apply a novel approach to a classical scaling method in the thermal IR relying on our improved parametrization of backscattering parameter over that used by Chou (Martinazzo et al., 2021), while in the Far IR a corrective term is introduced. The code is written in Fortran and runs on Unix-based (Linux and macOS) or MS Windows operating systems. σ-IASI/F2N can be used to develop custom versions of fast-forward modules for satellite instruments working in the infrared spectral range, such as the Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) and the Polar Radiant Energy in the Far-InfraRed Experiment (PREFIRE) missions. We discuss the σ-IASI/F2N performance in simulating a set of ECMWF analyses at the global scale. For this purpose, we compare observations from the Infrared Atmospheric Sounding Interferometer (IASI) flying on MetOp B, and C. Results show that σ-IASI/F2N can easily ingest ECMWF analyses data and accurately reproduce cloud patterns. We also show that the difference between σ-IASI/F2N simulations and corresponding IASI observations is below 1 K in the 8–12 um window region, which is mainly affected by the water vapor continuum absorption and weak lines, while for night-time clear sky, the differences are below 0.3 K. again within the same window region.

On the detection of lateral movement through supervised machine learning and an open-source tool to create turnkey datasets from Sysmon logs

Lateral movement (LM) is a principal, increasingly common, tactic in the arsenal of advanced persistent threat (APT) groups and other less or more powerful threat actors. It concerns techniques that enable a cyberattacker, after establishing a foothold, to maintain ongoing access and penetrate further into a network in quest of prized booty. This is done by moving through the infiltrated network and gaining elevated privileges using an assortment of tools. Concentrating on the MS Windows platform, this work provides the first to our knowledge holistic methodology supported by an abundance of experimental results towards the detection of LM via supervised machine learning (ML) techniques. We specifically detail feature selection, data preprocessing, and feature importance processes, and elaborate on the configuration of the ML models used. A plethora of ML techniques are assessed, including 10 base estimators, one ensemble meta-estimator, and five deep learning models. Vis-à-vis the relevant literature, and by considering a highly unbalanced dataset and a multiclass classification problem, we report superior scores in terms of the F1 and AUC metrics, 99.41% and 99.84%, respectively. Last but not least, as a side contribution, we offer a publicly available, open-source tool, which can convert Windows system monitor logs to turnkey datasets, ready to be fed into ML models.

Effiectiveness of Etiotropic Therapy in Patients with Chronic Recurrent Oral Candidiasis: a Randomized Controlled Clinical Trial

Background. Effective treatment of oral candidiasis is especially relevant due to the increase in patients with recurrent fungal lesions of the oral cavity caused by the growing number of Candidaspp. strains refractory to antimycotic drugs. The paper presents the results of the study on the clinical efficacy of etiotropic therapy in patients with chronic recurrent course of oral candidiasis.Objective. To assess the effectiveness of etiotropic therapy in patients with chronic recurrent oral candidiasis.Methods. A randomized controlled clinical trial was conducted in 56 patients with chronic recurrent oral candidiasis aged 45 to 74 years. Examination and treatment of patients was performed at the Department of Dentistry of Volgograd State Medical University and at Volgograd Regional Clinical Dental Polyclinic (Volgograd, Russia). Study timeline: September 2020 — November 2022. Patients were divided into 2 groups depending on the antimycotic drug used: in the main group, patients took voriconazole, in the control group — fluconazole. In addition to etiotropic therapy, patients of both groups were prescribed complex treatment aimed at stimulating the immune protection of the body, restoring vitamin and mineral deficiency, and correcting the imbalance of the oral ecosystem. The patients underwent local symptomatic therapy: antiseptic treatment with 0.06% chlorhexidine bigluconate solution, anesthesia with 15% lidocaine gel, and 3.44% retinol oil solution to stimulate epithelization. Oral sanitation and professional hygiene were recommended for patients to prevent oral candidiasis. In order to restore chewing function, patients were referred to prosthodontic treatment. The main reference point of the study was to assess the effectiveness of the therapy, both by clinical criteria and by evaluating the results of bacterial culture test in order to record the quantitative, species and susceptibility profile of Candidaspp. strains in 3 weeks, 6 and 12 months after the end of treatment. Analysis and statistical processing of the obtained data were performed using Excel program to MS Windows 10 (Microsoft Corp., USA).Results. The most common pathogenic agent of chronic recurrent forms of oral candidiasis is C. albicans (69.6%), followed by C. non-albicans species — C. krusei (10.7%), C. tropicalis (10.7%) and C. glabrata (8.9%). Analysis of the quantitative characteristics of Candidaspp. using bacterial culture test revealed a high and moderate number of Candidaspp. CFU in most clinical isolates before treatment, and no such cases in patients of the main group after treatment. The susceptibility test of yeast fungi to fluconazole and itraconazole showed the presence of isolates with dose-dependent susceptibility, and the resistance of individual samples C. krusei to fluconazole and C. glabrata (16.7% and 60%, respectively) and to itraconazole (33.3% and 100%, respectively). All Candidaspp. isolates were found to be highly susceptible to voriconazole. The efficacy of the combined treatment of an episode with voriconazole is 95.4%. Continued suppressive therapy with voriconazole resulted in relapse prevention in 98.3% of patients. Etiotropic therapy with voriconazole provided a stable clinical effect (92.7%) after a year of follow-up.Conclusion. The results of the study confirm the effectiveness of etiotropic therapy with voriconazole for chronic oral candidiasis complicated by a recurrent course, especially in case of detected C. non-albicans or fluconazole- and itraconazole-resistant C. albicans, or if it is impossible to identify the pathogenic agent.

NanoPack2: population-scale evaluation of long-read sequencing data.

Increases in the cohort size in long-read sequencing projects necessitate more efficient software for quality assessment and processing of sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. Here, we describe novel tools for summarizing experiments, filtering datasets, visualizing phased alignments results, and updates to the NanoPack software suite. The cramino, chopper, kyber, and phasius tools are written in Rust and available as executable binaries without requiring installation or managing dependencies. Binaries build on musl are available for broad compatibility. NanoPlot and NanoComp are written in Python3. Links to the separate tools and their documentation can be found at https://github.com/wdecoster/nanopack. All tools are compatible with Linux, Mac OS, and the MS Windows Subsystem for Linux and are released under the MIT license. The repositories include test data, and the tools are continuously tested using GitHub Actions and can be installed with the conda dependency manager.

Evaluation of effectiveness of low level laser therapy in accelerating orthodontic tooth movement-An in vivo study

To assess the acceleration of tooth movement in canine retraction and to assess the interleukin 1β level in Gingival Crevicular Fluid. 0.022 slot MBT brackets, 0.018 inch stainless steel arch wire, Low level laser (Gallium-Aluminium-Arsenide Laser), ELISA kit, Micro-capillary tube, Digital Vernier calliper, Dontrics gauge, NiTi closed coil springs Open labelled split mouth, non-experimental interventional institutional based study. By coin toss method, each of the participant’s mouth was randomly assigned either to the laser therapy (group 1) and 40 reference sites (group 2). On the experimental site orthodontic treatment with fixed appliance, a combination with low level laser therapy (Gallium-Aluminium-Arsenide laser) to the canine on the days 3,7,14 and then every 15 days for 2 months was initiated. Then 5µL of Gingival Crevicular Fluid (GCF) was collected to analyse the interleukin 1β levels using the ELIZA kit. The measurements were made with the help of a digital Vernier calliper. The laser group showed a significant greater reduction in the canine to molar distance than the site treated with conventional technique. The interleukin 1 β levels raised significantly for the site treated with laser as compared to the other. We observed that: Increased inflammatory response in the form of raised interleukin levels and Faster distalization of the canine when adjunct with low level soft tissue laser. The entire data was statistically analyzed using Statistical Package for Social Sciences (SPSS version 21.0, IBM Corporation, USA) for MS Windows. In Statistics, unpaired t-test is a used to compare equality of two population means and F-test is used to compare the equality of two population variance using that the samples were drawn from different populations. There was a clinically appreciable amount of retraction seen resulting in faster space closure between the canine and the first permanent molar in the group that had low level laser than the other group that was treated by the conventional therapy. We also observed a considerable rise in the interleukin 1 β levels in the laser group.

Tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis.

While many algorithms for analyzing high-dimensional cytometry data have now been developed, the software implementations of these algorithms remain highly customized-this means that exploring a dataset requires users to learn unique, often poorly interoperable package syntaxes for each step of data processing. To solve this problem, we developed {tidytof}, an open-source R package for analyzing high-dimensional cytometry data using the increasingly popular 'tidy data' interface. {tidytof} is available at https://github.com/keyes-timothy/tidytof and is released under the MIT license. It is supported on Linux, MS Windows and MacOS. Additional documentation is available at the package website (https://keyes-timothy.github.io/tidytof/). Supplementary data are available at Bioinformatics Advances online.

KSEMAW: an open source software for the analysis of spectrophotometric, ellipsometric and photothermal deflection spectroscopy measurements.

The optical behavior of devices based on thin films is determined by complex refractive index and thickness of each slab composing the stack; these important parameters are usually evaluated from photometric and/or ellipsometric spectral measurements, given a model of the stack, by means of dedicated software. In the case of complex multilayer devices, generally a number of simpler specimens (like single-film on substrate) must be preliminarily characterized. This paper introduces the reader to a new open source software for thin film characterization finally released after about 30 years of development. The software has already been used in various fields of physics, such as thin film optical filters, architectural glazing, detectors for high energy physics, solar energy, and, last but not least, photovoltaic devices. Code source files, MS Windows executable, user manual as well as a sample of working directories populated with assorted files can be freely downloaded from the kSEMAW GitHub repository.

DEVELOPMENT OF A TEXT EDITOR FOR UNIX OPERATING SYSTEM

The task of developing and implementing a software application for creating, editing, displaying on the screen, as well as saving in the form of files of various formats, which in turn will be used in programming in languages such as C, C++, Python, and the Linux system language – Bash, is being considered. The developed software application is designed to enable the user to interact with files of various extensions, edit and save changes, work with the content of files for further development of software code in languages such as C, C++, Python. The software application can be used both as a console application and with the use of a graphical interface on UNIX and MS Windows operating systems. During development, the UNIX operating system was used, namely the Linux – Ubuntu distribution, which made it possible to use the created text editor on such operating systems as Ubuntu, Linux Mint, Kali Linux, Raspberry Pi Ubuntu. A free cross–platform multimedia package of libraries – SFML was also used, which made it possible to use a text editor on the MS Windows platform. The source code of the SFML library is provided under the ZLIB/PNG Free Software Distribution License. During development, a method of processing input information, as well as saving it in a file of a separate format, was defined and implemented. The following programming languages were used: C, C++11, a convenient software application architecture was developed, which allows you to easily maintain and improve the program in the future. The use of a virtual machine was an integral part of the project. By using a virtual machine, many computer resources are utilized, such as: RAM, number of cores, data storage and discrete desktop acceleration in the desired operating system. A friendly graphical interface for user interaction has been implemented.

DEVELOPMENT OF AN APPLICATION FOR THE ANALYSIS AND RESEARCH OF THE PARAMETERS OF SCIENTIFIC TEXT DOCUMENTS CAPABLE OF WORKING WITH SEVERAL OPERATING SYSTEMS

In the work designed, developed and implemented a cross-platform application for retrieving information from the repository, displaying it correctly, generating a description of references in various styles, as well as for opening a document in a cross-platform application. The MS Windows 11 operating system, the Dart programming language and the Flutter framework were used in the development. The optimization of the program was ensured by using the Flutter BloC architecture, it allowed to structure the code, separate the interface from the logic and visually describe the operation of the program depending on various states. The input data is information about the scientific work in the repository, the user's request in the search field is in the form of a link. The result of the work is: a list of processed links, a description of references in different styles, a document of a scientific work, a link for opening in a browser. Instructions containing all the necessary information about the main aspects of the application have been added to the cross-platform application. A page was also created where users can get the necessary help or report problems with the application. The application was tested on devices based o-n the Android 11 operating system and above, devices based on the iOS operating system, and a web browser. To run on an Android-based device, you need to install an apk file and run the app, to run on an iOS-based device, you need to install the app using any development environment. To run in a web browser, you will need to run from the development environment. All these functions make the application relevant for use by students and teachers in the creation of scientific, diploma, and research works. And also to get acquainted with the latest research of colleagues in a large number of areas. The cross-platform application allows you to quickly and conveniently get all available information about work, as well as view the work itself on your device without using third-party programs.

Import substitution: Regulative acts and library reality

Various aspects of import substitution strategy introduced in Russia in response to the Western sanctions are examined. The aim was to analyze regulative and legislative acts related to the library policy and activities. The key documents are named; the principles of import substitution are reviewed: the registers of software and databases of the Eurasian Economic Union member states are listed; the alternatives to blocked Internet-based resources and services are suggested. The libraries encounter certain difficulties in their transferring to domestic software. The reason is that there is the vast array of programs for MS Windows and the lack of the similar national software. You cannot replace MS Windows in all library computers in the single step, so for some time you will have to use diverse OS. The author suggests and examines four options to solve the problem: through designing crossplatform software; platform-independent software, WINE compatibility layer to run existing Windows programs in domestic OS, or using terminal access to the software. The majority of specialized library software, in particular automated information library systems (ALIS) designed by Russian providers are either the client-server software for MS Windows or domestic OS via WINE compatibility layer, or the platform-independent software. The author concludes that designing platform-independent software based on web-technologies and cloud software, in particular, is the most promising vector of development.

Multi-user myoelectric pattern recognition for shoulder motion intent detection

Myoelectric interfaces have a large range of applications in rehabilitation and prosthetic fields. The electromyographic signal (EMG) generates different patterns of activations according to a specific motion activity allowing the extraction of task-discriminant features, and leading to an efficient external device control [1]. The application of such methodologies in the motion intention detection (MID) is challenging, since this requires to predict the subjects’ intentions while attempting to generate a certain movement [2]. Despite good results have been obtained for the intra-subject scenario [3], the inter- subject generalization still remains an issue. The aim of this work was to investigate myoelectric interfaces for multi-user application on data relative to the shoulder MID. The dataset was composed by eight subjects performing six shoulder movements [4]. The signals were segmented into 150 ms windows with an overlap of 75 ms and four time-domain features were extracted. The feature matrix was split into a calibration and testing subsets. The spectral regression (SR) was used to reduce the dimension of the feature space and with the canonical correlation analysis (CCA) the reduced feature set was projected into a new space, where data related to different subjects are maximally correlated. The obtained projection coefficients were then used on the testing subset. The SVM classifier was trained on the projected calibration subset of a user A and the projected testing subset of a user B was used for testing. In this way, the classifier was trained on data belonging to a certain subject, and then tested on unseen data of a different person. Outcomes demonstrated that the presented approach boosted the classification performance, even if only one trial was used for the training session, with respect to the case in which neither the SR nor the CCA were applied. Indeed, the F1-score increased from 28% up to 53%. It can be also appreciated that increasing the number of repetitions for the calibration subset, the F1-score was further improved, up to 70% already with two repetitions. The accuracy presented a similar behaviour (Fig. 1). The coupling between SR and CCA proved to be reliable for the multi-user oriented shoulder MID. In MID problems, the movement recognition is performed relying on features extracted from a very short time period and on a transient epoch of the EMG signal, before the movement was fully achieved. For this challenging task, the present architecture proved to be reliable in an inter-subject scenario. Indeed, it provided high classification performances training on one subject and then testing on an unseen one, hence supporting the use of CCA for the development of subject-independent myoelectric interfaces.

Study of bypassing Microsoft Windows Security using the MITRE CALDERA Framework

Background: Microsoft Windows Security is a recently implemented safeguard for the Windows operating systems, including the latest versions of Windows10 and 11. However, there is a major shortcoming in this system to stop Advanced Persistent Threat (APT). These are government-financed groups that are funded to attack other government entities. Following the initial security breach, the hacked Windows device is used to access the rest of the network devices in order to transfer data to external storage (Exfiltration). Methods: In this work, we have tested the Microsoft Windows Security system using MITRE CALDERA and ATT&amp;CK frameworks and explain how APT groups are able to bypass Windows Security. Results: In this study we used "54ndc47" agent through GoLang feature in MITRE CALDERA platform to test and bypass Microsoft Windows Security systems (MS Windows 10). Through it, we were able to bypass the Windows Security system and display entire files in the victim's device. Conclusions: In this paper, we have provided recommendations to Microsoft to improve their Windows Security tool through the use of Artificial intelligence (AI).