bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing English Learning Motivation among Thai University Students: A Cross-Faculty Perspective
Authors: Hendrajaya Muhammad Reza
Published: January 2024

This study delves into Thai university students' motivation to learn English as a Foreign Language (EFL). The research involved 33 participants from a Thai research university, with 15 students from the Faculty of Engineering (EG) and 18 from the Faculty of Liberal Arts (LA). The main objectives were to (1) identify the primary motivation underlying students' willingness to learn English, (2) identify the differences in motivation between EG and LA students, and (3) verify that students' milieu has a role in their motivation. The study employed a questionnaire on attitudinal constructs—integrative and instrumental motivation. Additionally, three open-ended questions were used. Results revealed that (1) both student groups displayed higher scores in integrative motivation, (2) while no significant differences were observed in motivation underlying students' willingness to learn English, LA students exhibited higher scores in both motivations compared to EG students, and (3) milieu played a pivotal role in shaping students' motivation to learn English. Furthermore, this study has significant implications for educators, emphasizing the necessity of acknowledging and addressing students' unique motivations and goals across various majors. While both groups exhibit integrative motivation, instrumental motivation provides additional support.
Analisa Hukum terhadap Penggunaan Merek yang Tidak Sesuai dengan Sertifikat Terdaftar (Studi Mengenai Merek Ms Glow/For Cantik Skincare)
Authors: Nusantari Oktaviana , Kusparningrum Emilda , Noor Hediati Febri
Published: January 2024

This research discusses the obligations of brand owners or brand certificate holders to be able to use their brand as stated in the registered brand certificate issued by the Directorate General of Intellectual Property and analysis of further supervision carried out by the Directorate General of Intellectual Property in carrying out supervision after the issuance of the brand certificate. The research method used in this research is doctrinal or normative. The obligation of a brand owner to use his or her mark as stated in the registered mark certificate is one of the brand owner's good intentions in registering the mark, but in reality, there are still brand owners who use marks that do not follow the registered mark certificate. This can be realized if the supervision system of the Directorate General of Intellectual Property after the issuance of the brand certificate can be implemented properly.
Dynamics of Absorption and Concentration of Anthracene in Radishes
Authors: Shimazu Haruki
Published: January 2024

This study examines the absorption and concentration of anthracene (AN) in the garden radish. Studies were conducted to grow radishes from the sowing stage in soil contaminated with AN, and to grow radishes in soil contaminated with AN following maturity (27 days after sowing). For the growth in AN-containing soil from sowing onward, AN levels immediately after seeding ranged from 12,500-36,300 ng/g-ww. AN concentrations during growing period ranged from 7140-16,000 ng/g-ww in soil and from 38.2-2160 ng/g-ww in radish, respectively. For the growth in AN-containing soil after maturity, AN concentrations in soil and radish ranged from 9560-22,100 ng/g-ww and 342-2270 ng/g-ww. The concentrations of AN in the roots and leaves had a higher density than those in the stems. In these experiments, positive relationships between AN levels in soil and radishes were observed. It is inferred that the greater the degree of soil contamination, the greater the effect on the amount of AN assimilated by the radishes. The concentration ratio (radish-to-soil; Cr/Cs) decreased exponentially with days since AN application. This indicates that the concentration ratio is affected by time in contact with AN. According to the results for the change over time of Cr/Cs and contents by radish part, it is thought that AN in the soil has good absorption through the roots to circulate within the organism, and is preferentially distributed and accumulated in the roots and leaves, which have high organic matter content.
Real-Time Speed Estimation for Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage-Current Sensors
Authors: Miloud Ines , Cauet Sebastien , Etien Erik , Salameh Jack P. , Ungerer Alex
Published: January 2024

This paper aims at achieving optimal rotor speed estimation for an induction motor using the Extended Kalman filter (EKF). Speed estimation is essential for fault diagnosis in Motor Current Signature Analysis (MCSA). The estimation accuracy is obtained by exploring the noise covariance matrices estimation of the EKF algorithm. The noise covariance matrices are determined using a modified subspace model identification approach. In order to reach this goal, this method compares an estimated model of a deterministic system, derived from available input-output datasets, with the discrete-time state-space representation used in the Kalman filter equations. This comparison leads to the determination of model uncertainties, which are subsequently represented as noise covariance matrices. Based on the 5th order nonlinear model of the induction motor, rotor speed is estimated with the optimized EKF algorithm and the used algorithm is tested experimentally.
Electrohydrodynamic (In)stability of Microfluidic Channel Flows: Analytical Expressions in the Limit of Small Reynolds Number
Authors: Goranovic Goran , Sørensen Mads Peter , Bruus Henrik , Brøns Morten
Published: January 2024

We study electrohydrodynamic (EHD) linear (in)stability of microfluidic channel flows, i.e. the stability of interface between two-shearing viscous (perfect) dielectrics exposed to an electric field in large aspect ratio microchannels. We then apply our results to particular microfluidic systems known as electroosmotic (EO) pumps. Our results are detailed analytical expressions for the growth rate of two-dimensional EHD modes in Couette-Poiseuille flows in the limit of small Reynolds number ($R$); the expansions to both zeroth- and first-order-$R$ are considered.
The growth rates are complicated functions of viscosity-, height-, density- and dielectric-constant ratio, as well as of wavenumbers and voltages, and to our knowledge have not been presented before in literature. To make the results more useful, e.g., for voltage-control EO pump operations, we also derive equations for the impending voltages of the neutral stability curves that divide stable from unstable regions in voltage-wavenumber stability diagrams. The voltage equations and the stability diagrams are given for all wavenumbers. We finally outline the flow regimes in which our first-order-$R$ voltage corrections could potentially be experimentally measured. Our work gives the insight into the coupling mechanism between electric field and shear flow in parallel-planes channel flows, correcting an erroneous attempt from literature. Our general analysis enables us also to refine the renowned instability mechanism due to viscosity stratification, i.e., the case of pure shear instability, when the first-order-$R$ voltage correction equals zero.
Multifractal Aspects of Earth's Climate History
Authors: Agterberg Frits
Published: January 2024

Abstract: Earth’s Phanerozoic history is marked by about 100 major events (“golden spikes”) indicating the beginnings of new stages in the Geologic Time Scale (GTS). Stage boundaries signify major deterministic events that are relatively well-known and can be correlated worldwide, mostly on the basis of appearances or disappearances of fossil species. The latest stage (Anthropocene) is human-made and currently involves rapid (approximately linear) increase in average atmospheric temperature. The main cause of Earth’s past and current temperature increases is addition of CO2 to the atmosphere. There is continuous exchange of greenhouse gases between atmosphere and oceans, which (per unit of volume) contain 50 to 60 times as much CO2 as the atmosphere. Abundance of new very precise worldwide observations is allowing multifractal modeling of weather and climate during the latest Quaternary stages during which some variables like temperature of the atmosphere and frequency of forest fires can be described by using the Pareto-lognormal frequency distribution model with parameters that are subject to continuous (deterministic) changes, similar to those in the earlier Phanerozoic.
Research on PointPillars Algorithm Based on Feature-Enhanced Backbone Network
Authors: Shu Xiaoning , Zhang Liang
Published: January 2024

In the industrial field, the 3D target detection algorithm PointPillars has gained popularity. Improving target detection accuracy while maintaining high efficiency has been a significant challenge. To address the issue of low target detection accuracy in the PointPillars 3D target detection algorithm, this paper proposes an algorithm based on feature enhancement to improve the backbone network. The algorithm enhances preliminary feature information of the Backbone network by modifying it based on PointPillars with the aid of channel attention and spatial attention mechanisms. To address the inefficiency caused by the excessive number of subsampled parameters in PointPillars, FasterNet (a lightweight and efficient feature extraction network) is utilized for downsampling and forming different scale feature maps. To prevent the loss and blurring of extracted features resulting from the use of inverse convolution, we utilize the lightweight and efficient up-sampling modules Carafe and Dysample for adjusting resolution. Experimental results indicate improved accuracy under all difficulties of the KITTI dataset, demonstrating the superiority of the algorithm over PointPillars.
Angel Investing: A Narrative Literature Review with Emphasis on the Florianópolis Ecosystem
Authors: Rodrigues dos Santos José Paulo
Published: January 2024

This literature review aims to assess the extent and depth of existing angel investment literature, particularly focusing on the city of Florianópolis. Through an examination of available literature, the report seeks to elucidate the mechanisms and practices employed in angel investing within the Florianópolis ecosystem. This comprehensive analysis involves synthesizing scientific literature and incorporating insights from authoritative sources in the field. Key findings highlight the imperative for further research and exploration in this domain and the potential for increased angel investment within the studied ecosystem.
Flood Assessment and Control in Hargeisa, Somaliland: A Community-Based Perspective
Authors: Muse Abdirahman Mohamed
Published: January 2024

Flooding during the rainy season poses a significant threat to the city of Hargeisa, impacting the well-being of both its residents and the local ecosystems. This research focuses on urban flood control, with a specific emphasis on finding sustainable solutions for managing large stream in Hargeisa. The study identifies five key dimensions, including infrastructure, transportation, environmental soil, life, and property, as critical factors in addressing the issue. By employing a comparative method and collecting data through closed-ended questions, the research aims to analyze and weigh eleven potential solutions, seeking to identify the most effective approaches.

The findings of the study indicate that constructing a dam emerges as a promising and sustainable solution, with a weightage of 70 percent. This highlights the potential of a dam in mitigating the impact of floods in the region. Additionally, considering the government's economic capacity, the implementation of check dams is identified as another viable option, with a weightage of 95 percent for reducing the flood power of the stream. These solutions offer practical and effective measures to address the recurring problem of flooding in Hargeisa.

To support future decision-making and planning, the research underscores the need for establishing a comprehensive rainfall data database. This database would store relevant information on rainfall patterns, enabling better understanding and prediction of flood events. The study emphasizes the importance of collaboration between local government authorities, environmental organizations, and stakeholders to develop and implement effective flood control strategies. This research provides a systematic approach that can inform and benefit regional and global researchers, policymakers, and municipal governments in their efforts to address urban flood control challenges, not only in Hargeisa but also in similar contexts worldwide.
Analysis of Variability in Electric Power Consumption: A Methodology for Setting Time-Differentiated Tariffs
Authors: Duarte Javier E. , Rosero-Garcia Javier , Duarte Oscar
Published: January 2024

This study proposes a methodology for identifying time intervals in which time-of-use (ToU) energy tariffs can be set. This is achieved by analyzing the variability in electric power demand and esti-mating the potential for demand flexibility. The proposed methodology is as follows: first, data preprocessing is performed, focusing on the organization and cleaning of individual consumption records. Subsequently, the data are processed and classified by using consumption variability analysis and clustering techniques. Then, representative clusters are selected and time intervals are analyzed to identify periods of high electric power consumption variability. This methodology was tested with real data from smart meters in the Colombian electrical system, in which time intervals with potential for settinh ToU tariffs were ultimately identified.
This work promotes the implementation of demand response strategies that enhance sustainability and facilitate the transition to a more resilient energy landscape both nationally and internationally. The findings are expected to contribute to the formulation of tariff schemes that encourage con-scious changes in electric energy consumption patterns.
Simulation and Real-Life Implementation of UAV Autonomous Landing System Based on Object Recognition and Tracking for Safe Landing in Uncertain Environments
Authors: Baidya Ranjai , Jeong Heon
Published: January 2024

The use of autonomous Unmanned Aerial Vehicles (UAVs) has been increasing, and the autonomy of these systems and their capabilities in dealing with uncertainties is crucial. Autonomous landing is pivotal for the success of an autonomous mission of UAVs. This paper presents an autonomous landing system for quadrotor UAVs with the ability to perform smooth landing even in undesirable conditions like obstruction by obstacles in and around the designated landing area and inability to identify or the absence of a visual marker establishing the designated landing area. We have integrated algorithms like version 5 of You Only Look Once (YOLOv5), DeepSORT, Euclidean distance transform, and Proportional-Integral-Derivative (PID) controller to strengthen the robustness of the overall system. While the YOLOv5 model is trained to identify the visual marker of the landing area and some common obstacles like people, cars, and trees, the DeepSORT algorithm keeps track of the identified objects. Similarly, using the detection of the identified objects and Euclidean distance transform, an open space without any obstacles to land could be identified if necessary. Finally, the PID controller generates appropriate movement values for the UAV using the visual cues of the target landing area and the obstacles. To warrant the validity of the overall system without risking the safety of the involved people, initial tests are performed, and a software-based simulation is performed before executing the tests in real life. A full-blown hardware system with an autonomous landing system is then built and tested in real life. The designed system is tested in various scenarios to verify the effectiveness of the system.
LM-DeeplabV3+: A Lightweight Image Segmentation Algorithm Based on Multi-scale Feature Interaction
Authors: Hou Xinyu , Chen Peng , Gu Haishuo
Published: January 2024

Street view images can help us better understand the city environment and potential characteristics. With the development of computer vision and deep learning, the technology of semantic segmentation algorithms has become more mature. However, DeeplabV3+, which is commonly used in semantic segmentation, has shortcomings such as a large number of parameters, high requirements for computing resources, and easy loss of detailed information. Therefore, this paper proposes LM-DeeplabV3+, which aims to greatly reduce parameters and computations of the model while ensuring the segmentation accuracy. Firstly, the lightweight network MobileNetV2 is selected as the backbone network, and the ECA attention mechanism is introduced after MobileNetV2 extracts shallow features to improve the ability of feature representation; secondly, the ASPP module is improved, and on its basis, the EPSA attention mechanism is introduced to achieve cross-dimensional channel attention and important feature interaction; thirdly, a loss function named CL loss is designed to balance the training offset of multiple categories and better indicate the segmentation quality. This paper conducted experimental verification on the Cityspaces dataset, and the results showed that the mIoU reached 74.9%, which was an improvement of 3.56% compared to DeeplabV3+; the mPA reached 83.01%, which was an improvement of 2.53% compared to DeeplabV3+.
Review of Some Prey-Predator Models Relevant to the Lynx-Snowshoe Hare Relation
Authors: Banerjee Ishan
Published: January 2024

The paper focuses on the different dynamical systems for the prey-predator model for different cases which includes greater depth of the food chain and varying number of preys and predators. We simulate the different postulated models and provide a comparative study for the same.
Preparation and Corrosion Resistance of Zn-Y2O3-Al2O3 Nanocomposite Coatings by Electrodeposition
Authors: Feng Xiujuan , Qiu Falong , MOHAMED CONDE SEKOU , Dong Chengliang Dong
Published: January 2024

This article utilizes electrodeposition technology to fabricate Zn and Zn-Y2O3-Al2O3 composite coatings on Q235 steel plates. Composite coatings were obtained by adding nano Y2O3/Al2O3 particles (0, 5, 10, and 15 g/L) to acidic chloride solutions. The study examined the impact of nanoparticles on the microstructure, morphology, microhardness, hydrophobicity, and corrosion resistance of composite coatings. The results indicate that the addition of nanoparticles increases the nucleation sites on the surface of the coating, thereby refining the grain size and reducing the roughness of the coating surface. When the concentration of nanoparticles added is 10g/L Y2O3 and 10g/L Al2O3, the hardness of the composite coating (369 Hv) is 2.49 times higher than that of the pure Zn coating (148 Hv), which is attributed to the dispersion strengthening and grain refinement effects of the nanoparticles. The corrosion resistance of Zn and Zn-Y2O3-Al2O3 composite coatings was studied using linear sweep voltammetry and AC impedance spectroscopy. The addition of nanoparticles improved the corrosion resistance of the composite coating, and the composite coating prepared in an electrolyte containing 10 g/L Y2O3 and 10 g/L Al2O3 nanoparticles exhibited the best corrosion resistance. Meanwhile, the composite coating exhibits good hydrophobicity, with a contact angle of 120.9°, 1.94 times that of the pure Zn coating (62.2°). The Zn-Y2O3-Al2O3 nanocomposite coating material has significant potential advantages in the field of steel corrosion.
Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications
Authors: Särestöniemi Mariella , Singh Daljeet , Dessai Rakshita , Heredia Charline , Myllymäki Sami , Myllylä Teemu
Published: January 2024

The development of new medical monitoring applications requires precise modeling of the human body effects as well as simulating and emulating realistic scenarios and conditions. The first aim of this paper is to develop realistic and adjustable human body 3D emulation platforms which could be used for evaluating emerging microwave-based medical monitoring/sensing applications such as the detection of brain tumors, strokes, breast cancers as well as for capsule endoscopy studies. The new phantom recipes are developed for microwave ranges for the realistic shaped phantom molds. The second aim is to validate the feasibility and reliability of the phantoms for practical scenarios with electromagnetic simulations using tissue layer models and biomedical antennas. The third aim is to investigate the impact of the water temperature in the phantom cooking phase on the dielectric properties of the stabilized phantom. The evaluations show that the dielectric properties of the developed phantoms correspond closely to those of real human tissue. The error in dielectric properties varies between 0.5-8%. In the practical scenario simulations, the differences obtained with phantoms-based simulations in S21 parameters are 0.1-13dB. However, the differences are smaller in the frequency ranges targeted for medical applications.
Investigation of physical and mental fatigue, perceived social support and quality of life in Greek social workers: The role of demographic and occupational characteristics
Authors: Theofilou Paraskevi , Malkopoulou Stavroula
Published: January 2024

The present study focuses on the investigation of fatigue, social support and quality of life that characterizes social workers. Furthermore, the study aims to highlight the effect of demographic and occupational characteristics on the above factors. A total of 400 social workers with an average age of 39.05 years took part in the research. Most were women, single, residents of cities of more than 100,000, and health care workers. Participants were asked to answer online questionnaires (FAS for fatigue, MSPSS for social support and GHQ-28 for quality of life). From the analysis of the data, it was found that the level of fatigue of the social workers is at low levels. At the same time, the level of occurrence of negative symptoms is also low, with physical symptoms appearing more often than the rest. Participants receive a high level of support from their environment, and more so from the "significant other" in their life. Finally, it was found that the fatigue, social support and quality of life of social workers is affected by the age of the social workers, the total years of service, gender, marital status, place of residence, employer and position of responsibility.
Wheelchair Badminton: A Narrative Review of Its Specificities
Authors: Alberca Ilona , Watier Bruno , Chénier Félix , Brassart Florian , Faupin Arnaud
Published: January 2024

This narrative review aims to provide a comprehensive overview of the scientific literature on wheelchair badminton and its distinctive aspects, encompassing abilities and disabilities, propulsion technique, and the use of a racket. The relatively young history of wheelchair badminton is reflected in the scarcity of scientific studies within this domain, highlighting the need for further investigation. The review systematically covers existing articles on wheelchair badminton, offering a nearly exhaustive compilation of knowledge in this area. Findings suggest that WH2 athletes engage in more intense matches with a higher frequency of offensive shots compared to WH1 athletes. Moreover, backward propulsion induces distinct physiological responses and alterations in propulsion kinematics, potentially leading to performance decrements. The use of a badminton racket further influences propulsion kinetics and kinematics, potentially impacting performance and injury risk. Further research is imperative to explore additional perspectives, address existing gaps, and expand the scope of study within the wheelchair badminton domain. This narrative review serves as a foundation for future investigations, emphasizing the necessity of continued research to enhance our understanding of wheelchair badminton.
Body composition and functional activity in men with heart failure
Authors: Skripnikova I. A. , Yaralieva E. K. , Myasnikov R. P. , Kulikova O. V. , Novikov V. E. , Kosmatova O. V. , Vygodin V. A. , Drapkina O. M.
Published: January 2024

Aim. To assess the body composition and functional activity (FA) parameters in men with heart failure (HF) of various nature depending on the stage, class and echocardiographic characteristics of the disease.

Material and methods. The study included 100 men aged 23-70 years. The main group consisted of 60 men with HF, the control group — 40 men without HF. Quantitative body composition assessment (fat, lean and bone body mass) was carried out using dual-energy X-ray absorptiometry (DXA). Physical activity was assessed using handgrip test, short physical performance battery (SPPB) test, 6-minute walk test (6MWT), and Timed Up and Go (TUG) test.

Results. In the HF group, there were a significant decrease in total bone mass, trunk and limb bone mass, total muscle mass, trunk and limbs’ muscle mass, appendicular skeletal muscle index (ASMI), and FA as HF class increased. Fat mass did not differ in individuals with different HF class and stage. HF class was an independent factor in the reduction of total bone mass (b=-301,9, p=0,015), total muscle mass (b=-1903, p=0,03), limb bone mass (b=-147,6, p=0,013) and appendicular muscle mass (AMM) (b=-1903, p=0,001). Total bone mass (b=-2,637, p=0,02) and AMM (b=-3,512, p=0,01) were independently associated with the Vasilenko-Strazhesko HF stage. AMM also had an independent association with left ventricular ejection fraction (LVEF) (b=0,274, p=0,03). The average body composition scores did not differ between the study and control groups, while the scores of handgrip test, 6MWT, SPPB and TUG test were significantly worse in the HF group. NYHA HF class, stage of HF, LVEF, left ventricular end-diastolic volume (LVEDV) and pulmonary artery systolic pressure (PASP) made an independent contribution to FA decrease in men with HF.

Conclusion. In patients with HF, there was deterioration in musculoskeletal parameters depending on HF class, stage and LVEF, without significant differences compared to the control group. There was no association of fat mass with the disease, clinical and echocardiographic characteristics. The average parameters of muscle strength and tests of FA were reduced in men with HF compared with the control group and depended on the NYHA class and stage of HF, LVEF, LVEDV, and PASP.
Platelet phenotypes and practical aspects of platelet function testing in cardiology
Authors: Kobalava Zh. D. , Pisaryuk A. S. , Filkova A. A. , Tukhsanboev E. S. , Boldyreva A. A. , Lazutova D. P. , Meray I. A. , Panteleev M. A.
Published: January 2024

The assessment of platelet dysfunction is usually used by hematologists to diagnose inherited (such as Bernard-Soulier syndrome, platelet-type-von Willebrand disease, Glanzmann thrombasthenia, etc.), and acquired (symptomatic) platelet disorders (in hemoblastoses, uremia, liver cirrhosis, etc.), as well as to predict the risk of intraoperative bleeding in these groups of patients. Later, laboratory platelet function tests began to be used by cardiologists, first in experimental and clinical studies. In further years, attempts were made to introduce them into clinical practice. Current data show association between platelet hyperreactivity and pathogenesis of cardiovascular events. At the same time, despite the various consensus papers on assessing thrombotic and bleeding risk, monitoring antiplatelet therapy, including those published by Russian experts, in practice there are many subtleties and questions about the practical aspects of using laboratory tests. In addition, the definition of platelet phenotype does not have a clear concept. The review purpose was to describe laboratory methods for assessing the platelet function, to give more information to cardiologists about its practical value and to understand what basic scientists and physicians mean by the term “platelet phenotype”.
Distant myocardial infarction: a case report
Authors: Pereverzeva K. G. , Antonenko A. O. , Tishkina I. E. , Allakhverdieva G. N. , Samdina V. R. , Khairbekova K. N. , Yakushin S. S.
Published: January 2024

Currently, more and more cases of distant myocardial infarction are being registered. This pathological condition occurs due to an acute decrease in myocardial blood supply, which was provided by a donor artery, which blood supply system is anatomically not directly connected to the affected area. Cases of distant myocardial infarction are sporadic. Therefore, there are difficulties in choosing the right management strategy. During percutaneous coronary intervention, it is possible to perform recanalization of an artery with chronic occlusion, which anatomically supplies blood to the affected wall, and/or donor artery stenting, which supplies the infarction zone due to collaterals. The article presents a case of non-Q wave myocardial infarction of left ventricular anterior wall, which developed in a patient with 90% stenosis in the proximal left anterior descending (LAD) artery, chronic occlusion of the middle LAD segment, and 80% stenosis in the proximal right coronary artery. Direct stenting of the right coronary artery led to a significant increase in the contrast intensity in intersystem collaterals from the posterior interventricular artery to LAD artery. This was accompanied by an improvement in the clinical symptoms and a complete absence of angina throughout the patient’s hospital stay.
Digital evolution in Healthcare: Trends and legal regulation of Digitalization of primary Health Care in the Russian Federation (analytical review).
Authors:   National Medical Research Centre for Therapy and Preventive Medicine of the Ministry of Health of Russia, Voshev D. V.
Published: January 2024

Relevance. Digital evolution in the field of healthcare brings significant changes to the provision of primary health care in the Russian Federation. This process requires a comprehensive analysis and adequate legal regulation in order to ensure the effective implementation of innovative technologies, protection of the rights of patients and medical workers. The purpose of the study: is to analyze the current trends in the digitalization of primary health care in the Russian Federation and the existing legal regulation of the digitalization process in the field of primary health care in the Russian Federation. Materials and methods: the review is based on publications on the selected topic in the PubMed and eLibrary databases (n = 56), consideration of Russian regulatory legal acts related to digitalization in healthcare, including PHC, as well as the study of domestic and international experience in this field. Results. The study revealed the main trends and prospects for the development of digitalization of primary health care in the Russian Federation. The analysis of publicly available publications made it possible to identify the main regulatory legal acts that regulate the process of digital transformation in the Russian Federation, including the PHC area. The technologies and services actively implemented in the state healthcare system were studied, and it was revealed that the active dissemination of information via the Internet creates the need to improve the mechanisms for protecting the confidentiality of patients’ medical data. It was also found that in the context of the rapid development of digital technologies in healthcare, various aspects of legal regulation need to be reviewed, including organization, liability measures, guarantees and control. These conclusions emphasize the need for further analysis and improvement of legal regulation in this area to ensure effective and secure digital transformation in the field of primary health care in Russia. Conclusion. Digital transformation of healthcare is an integral part of the modernization of the Russian healthcare system and requires a comprehensive and balanced approach, taking into account all possible risks and benefits. It is worth emphasizing the need to work out effective legal regulation mechanisms to minimize possible risks and ensure maximum safety and efficiency of the digital transformation process in the Russian healthcare sector. The scope of the results. The results of the study can be used to improve legislation in the Russian Federation in the field of digitalization of healthcare, including primary health care, as well as to develop strategies and mechanisms for effective implementation of digital technologies in this area.
Using MVP in the development of a software product for an infectious disease monitoring information system.
Authors:   «Algoritm», LLC, Shabalin M. V. , Reshetnikova Yu.S. ,   Tyumen State Medical University, Nemkov A. G. ,   Tyumen State Medical University, Kulikova I. B. ,   Department of Emergency Medical Care and Health Risk Management of the Ministry of Health of the Russian Federation
Published: January 2024

In world practice, the effectiveness of management decisions taken to organize medical care for the population in the context of the COVID‑19 pandemic is associated with the construction of mathematical models based on statistical data implemented in the software of medical information systems and the development of digital technologies that allow remote observation and interaction with the patient. As information about COVID‑19 accumulates, the issue of automating the processes of collecting, accumulating, storing, analyzing and visualizing medical data has become relevant for executive authorities in the field of protecting the health of citizens in the Russian Federation. Purpose of study. To develop and to implement a software module for monitoring infectious diseases to automate basic business processes related to the provision of medical care to patients with COVID‑19. Methods. The basis for the development of MVP was the e-document flow system (EDF) «Bureaucrat». The main tool was the CUBA platform, and the following technologies were used: Spring, Groovy, YARG, HL7, SOAP, REST API, Tomcat, Vaadin, Activiti. Results. At the first five stages of creating an MVP information system for monitoring infectious diseases, the “Questionnaire” and “Observation Sheet” forms were introduced, and also integration with the Federal Register of COVID‑19 Patients was carried out, functionality for creating emergency notifications about infectious diseases was introduced, and integration with the regional information system was partially implemented. The sixth and seventh stages provided for the separation of MVP based on the Bureaucrat EDF into an independent software product with expanded functionality. Conclusions. As a result of the work, a software product was obtained, first as a module within the Bureaucrat EDF, and then as an independent information system “Infections.Net”, which was able to quickly act as an addition to RMIS in the Tyumen region and automate all necessary business processes at the regional level related to work on COVID‑19 patients in a short time frame.
Basic indicators of population morbidity, including prognostic ones, in assessing the reproductive potential of the region.
Authors:   N. A. Semashko National Research Institute of Public Health, Mingazova E. N. ,   Kazan State Medical University, Zhelezova P. V. ,   N. A. Semashko National Research Institute of Public Health
Published: January 2024

The article presents the results of a study conducted to study the main indicators of population morbidity from the perspective of assessing the reproductive potential of the region. Statistical, analytical, and graphological methods were used in the work. A key factor in the reproductive potential of a region is the level of health of its population, including morbidity rates. When developing measures to stimulate the birth rate, which is especially necessary for territories with the lowest rates of population reproduction, such as the Central Federal District and, in particular, the Kostroma Region, a detailed study of the regional characteristics of the health status of the population is necessary. It was determined that, according to predictive models, the incidence rate in the Kostroma region will increase from 701.1 per 1000 population in 2020 to 768.8 per 1000 population in 2025. To identify the relationship between indicators of the birth rate and morbidity in the Kostroma region for period 2010–2020 A cross-correlation analysis was carried out to reveal not only the degree and direction of the relationship between the analyzed indicators, but also the time lag. For the Kostroma region, according to the time series under consideration, no statistically significant relationship was found between the level of fertility and morbidity. There is a slight correlation (–0.3) between the analyzed indicators for the Kostroma region with a time lag of 6 periods, but it is not statistically significant and does not allow us to draw clear conclusions.
An improve effective communication. Handovers by hospital information system tools.
Authors:   Federal Ailamazyan А. К. Program Systems Institute of Russian Academy of Sciences, Vygovskii E. A. , Foкht O. A. ,   Federal Ailamazyan А. К. Program Systems Institute of Russian Academy of Sciences
Published: January 2024

The article presents an improve effective communication and handovers by Hospital information system tools in the context of improving the safety and quality of treatment at the present stage. A trend of today is proposed – the use of a Hospital information system to ensure the improve effective communication and handovers for specific patients in the diagnostic and treatment process (with special attention paid not to reporting to higher authorities, but to optimizing the internal process in a medical organization in order to reduce mortality and stimulate recovery processes). Possible tools and benefits from their use are considered.
Medical document structure expanding for analysis purposes.
Authors:   Federal Ailamazyan А. К. Program Systems Institute of Russian Academy of Sciences, Komarov S. I.
Published: January 2024

The Article is devoted to analyze the medical document regulated structure, statutory acts, using the medical document structure expanding in clinical research informatization and information support it in HIS.
A Practical Framework for Oil and Gas Operators to Estimate Methane Emission Duration Using Operational Data
Authors: Higgins Shaun , Hecobian Arsineh , Baasandorj Munkhbayar , Pacsi Adam P.
Published: January 2024

Methane management is a key greenhouse gas (GHG) reduction focus within the oil and gas industry. While there are a variety of techniques for methane detection and measurement, aircraft-mounted sensors have become popular for both academic studies and operators in onshore regions in North America due to their ability to screen many sites in a relatively short amount of time. Many traditional leak detection and repair (LDAR) techniques, like optical gas imaging (OGI), and emerging approaches, such as aircraft-based or satellite-based screenings, are periodic, which means that they can provide information about the presence of emissions and approximate rates during the observation period. Scaling periodic observations to annual emission estimates needed for regulatory and corporate reporting requires information on emission duration, which is not generally provided by the same screening techniques. In the literature to date, there have been several statistical approaches proposed for the annualization of basin-level methane observations, but these techniques may struggle to downscale to individual operators, across which methane emission intensities are expected to vary. In this paper, we propose a novel, conceptual framework for using other sources of data, such as records from operator inspections and parametric monitoring, to help define the duration of detected methane emissions. Such information may prove to be a useful input to measurement-informed methane emission protocols that are under development by multistakeholder groups, like GTI Energy Veritas and federal agencies in the United States.
5-Aminolevulinic Acid Tumor Paint and Photodynamic Therapy for Chordoma: An In Vitro Study
Authors: Kenan Shachar , Nixon Ryan , Liang Haixiang , Goodman Howard J. , Grande Daniel A. , Levin Adam S.
Published: January 2024

Background:
Wide resections of chordoma tumors are challenging for many reasons, primarily due to a lack of intraoperative visualization, leading to unacceptably high recurrence rates. Known techniques using five-aminolevulinic acid (5-ALA) for tumor paint and photodynamic therapy (PDT) may improve outcomes but have not been well described for chordomas. This study aimed to analyze chordoma cell response to 5-ALA tumor paint and PDT in vitro.

Methods:
Tumor paint: Human chordoma cells (MUG-Chor1) were cocultured with green fluorescence protein (GFP) rat adipose-derived stromal cells (ADS) with subsequent observation after 5-ALA exposure, visualized using filters to show GFP cells in green and 5-ALA positive cells in red color.
PDT: MUG-Chor1 and ADS cells were exposed separately to 5-ALA followed by PDT treatment using 405-nm excitation and emission at 603-738-nm. Time-lapse images of live cells were captured every second for 15 minutes and then visualized sequentially at 50× speed.

Results:
The tumor paint arm of the study successfully demonstrated selective red chordoma fluorescence, a finding which may facilitate visualization of a malignancy juxtaposed to surrounding benign healthy tissue. The second arm of the study, PDT, demonstrated selective chordoma cellular death, clearly evidenced by swelling and vesicle formation in contrast to the ADS control.

Conclusion:
The results of these experiments demonstrate the effective in vitro application of 5-ALA tumor paint and PDT on chordoma cells, documented visually using time-lapse photography. 5-ALA, with its double-edged applications of selective tumor identification and kill, may lead to transformative change in the management of soft tissue sarcomas.
A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments
Authors: Kennedy Bryan , Malladi Sarala N. , Tootell Roger BH , Nasr Shahin
Published: January 2024

Current models of scene processing in the human brain include three scene-selective areas: the Parahippocampal Place Area (or the temporal place areas; PPA/TPA), the restrosplenial cortex (or the medial place area; RSC/MPA) and the transverse occipital sulcus (or the occipital place area; TOS/OPA). Here, we challenged this model by showing that at least one other scene-selective site can also be detected within the human posterior intraparietal gyrus. Despite the smaller size of this site compared to the other scene-selective areas, the posterior intraparietal gyrus scene-selective (PIGS) site was detected consistently in a large pool of subjects (n=59; 33 females). The reproducibility of this finding was tested based on multiple criteria, including comparing the results across sessions, utilizing different scanners (3T and 7T) and stimulus sets. Furthermore, we found that this site (but not the other three scene-selective areas) is significantly sensitive to ego-motion in scenes, thus distinguishing the role of PIGS in scene perception relative to other scene-selective areas. These results highlight the importance of including finer scale scene-selective sites in models of scene processing – a crucial step toward a more comprehensive understanding of how scenes are encoded under dynamic conditions.
Significance of Healthcare Analysis Using Word Embedding With Machine learning Classifiers
Authors: Roy Somen Kumar , Pillai Jyothi , Thomas Ani
Published: January 2024

The forecasting of health news is becoming the main issue to divide healthcare news into different classes based on user comments. Moreover, predicting class content is significantly important in influencing news forecast reports. In this paper, the news data from the MIND dataset considered classes lifestyle and health with user comments, in the preprocessing stage tokenization, stop word removal, stemming, lemmatization etc. are performed. After the preprocessing step obtained words need to be converted into numerical vectors and these vectors along with their weighted values are determined for Modeling, in this way applied to some techniques like Word embedding, feature selection, SMOTE (synthetic minority class over-sampling technique) and various ML (machine learning) classifiers To find the impact of used techniques for the given input data and the performance of all used techniques is obtained by some descriptive statistics analysis and Rank test. Finally, the comparative analysis is shown by the performance of accuracy and F-measure parameters for each technique. Experiments show that the LOGR (logistic regression) and a variant of SVM outperform all other classifiers and it is seen that in this work GLOVE variant is a better embedding technique where CCRA (cross correlation analysis) and SMOTE are better feature selection and class imbalance techniques and their combined effects helps to achieve significant improvement for the models to predict the classes priority based on news comments by users.
WITHDRAWN: Numerical Study on the Performance Evaluation and Thermal Management of Automotive Exhaust Thermoelectric Generator using Pin fins
Authors: Veer Chander , Kansara Keyur , Singh Shobhana
Published: January 2024

The utilization of thermoelectric power generators presents a viable prospect for the recuperation of waste heat that results from exhaust gases within the automotive sector. The optimal performance of thermoelectric modules in waste heat recovery applications is heavily dependent on the design of the heat exchanger. The current study employs numerical methods to examine the efficacy of pin-fin configurations on the hot-side heat exchanger surface in enhancing heat transfer and thereby improving the conversion efficiency of TEG. Specifically, the study explores the impact of inline, staggered, and progressive arrangements of pin-fins in the direction of the exhaust stream. The heat exchanger is subjected to variations in fin thickness ranging from 10 mm to 18 mm to improve heat transfer in each configuration. The study conducts simulations on every fin configuration, utilizing three distinct inlet velocities (4 m/s, 6 m/s, and 8 m/s) and five different inlet temperatures (423 K, 473 K, 523 K, 573 K, and 623 K). The assessment of the heat exchanger’s performance is conducted by means of the thermal-hydraulic performance coefficient (THPC) and the temperature uniformity index. Meanwhile, the evaluation of the TEG device’s performance is carried out by estimating its rated power output and the conversion efficiency of TEG. According to the findings, the staggered fin arrangement exhibits the highest Thermal Hydraulic Performance Coefficient (THPC) and power generation capability, while the progressive and inline fin configurations follow in descending order. The utilization of fins with a thickness of 18 mm in a staggered arrangement yields a peak rated power output of 53.42 W. The implementation of pin fins in a staggered configuration within the heat exchanger amplifies the heat transfer from the exhaust gas to the thermoelectric module. Consequently, there is an increase in the output power with respect to the given temperature difference.