bluuebunny/crossref_metadata_2025 huggingface dataset:
Mathematical Prediction and Optimization of Engineered Properties of Recycled Concrete with Marble Fines using Central Composite Design
Authors: Djedid Tarek , Abbas Messaoud , Zerig Tahar , Belachia Mouloud
Published: February 2025

The reuse of wastes from demolished concrete is now seen as a promising solution for preserving natural resources and protecting the environment. This study aims to assess the influence of varying proportions: 0%, 5%, 10%, 15%, and 20% of marble fines on the behaviour of concrete made of recycled aggregates produced by demolition, using Central Composite Design (CCD) based on the response surface methodology (RSM). Multiple physical and mechanical parameters were examined to determine the optimal amount of fine marble for recycled aggregate concrete (RAC). The results suggested that recycled concrete with marble fines 20% (RC20) shows exceptional quality in terms of fineness modulus, resulting in an improved fresh density and a high drop in plastic during the fresh phase. In parallel, the introduction of 10% and 15% marble fines significantly improves the mechanical properties of hardened RAC. Specifically, RC10 (recycled concrete with 10% marble fines) increases compressive strength by 13.79% and reduces capillary absorption capacity by 46.75% compared to the control (RC0) after 60 days. The incorporation of fines 15% proves sufficient to significantly improve flexural strength at the same hydration time compared to other formulations. Furthermore, this study establishes polynomial correlations using an adjusted value of the coefficient of determination (R-squared) equal to or greater than 0.98, to relate various characteristics of fresh concrete (density and slump) and hardened concrete (porosity and water absorption by immersion) after the addition of marble fines. The proposed RSM model-based CCD validates a promising approach that allows optimal values of compressive strength (35.9 MPa) and flexural strength (4.92 MPa), with a desirability coefficient of approximately 93%.
Two Tabata cycles in a single training set maximize fat oxidation after exercise in male college students with overweight/obesity
Authors: Cheng Zhuoyue , Liu Lixia , Han Yanbai , Wang Hongli , Wang Yongbo , Han Yiming
Published: February 2025

Tabata has been identified to enhance energy expenditure and fat oxidation in humans. The study aims to find an optimal Tabata volume for weight loss. 32 male university students with overweight/obesity participated in three tests. Test I consisted of a single Tabata cycle, Test II consisted of two, and Test III consisted of three. Each cycle was separated by a 10-minute interval, and each test was set as 7 days interval. Gas exchange indices were monitored during the last Tabata cycle of the test and the 30-minute recovery period. Subsequently, fat and glucose oxidation amounts, rates, and energy expenditure were calculated. During the 10-minute recovery period, the fat oxidation amounts of Test II (0.80±0.26 g) and Test III (0.87±0.24 g) were higher than Test I (0.50±0.11 g, p<0.001). There was no significant difference between Test II and Test III. During the 20-minute and 30-minute recovery periods, Test II (3.21±0.50 g; 5.04±1.02 g) showed significantly higher fat oxidation amount than Test I (2.47±0.59 g, p<0.001; 4.41±0.98 g, p<0.05) and Test III (2.80±0.43 g, p<0.001; 4.11±0.96 g, p<0.001), there was no significant difference between Test I and Test III (p>0.05). No significant differences in energy expenditure were observed among the three tests during recovery periods (p>0.05). We conclude that two Tabata cycles show the highest fat oxidation amount with the same energy expenditure amount during the recovery period, which is the optimal Tabata volume for weight loss.
wxAMPS Simulation of Electronic Transport Mechanism in Intrinsic and Doped Nanocrystalline Silicon Thin Films
Authors: Chahi Mokhtar , Gharou Ahmed , Nehmar Hamid , Kasdi Mustapha , Benhabara Hadj , Bouhekka Ahmed
Published: February 2025

The main objective of this research is a numerical investigation of the transport properties in hydrogenated nanocrystalline silicon thin films for solar cells applications using the wxAMPS software tool. The simulated samples were fabricated at 100°C using radiofrequency magnetron sputtering (RFMS) method with RF power 220 W, a gas mixture of 30% of argon and 70% of hydrogen under a total pressure of 3 Pa and the target – sample holder distance, fixed at 70 mm, were maintained constant for the three categories intrinsic, phosphorus doped and boron doped films at deposition times of 3 and 30 minutes. The simulation carried out in this research, is based on a layer of nanocrystalline silicon that was constructed using successive and alternative crystalline and amorphous thin layers where their total number is depending on the thickness of the considered sample. The electronic transport mechanism is studied and findings clearly demonstrated that doped and undoped samples have different activation energy (Ea) which obviously illustrates the crucial role of doping. The Ea is less than 0.2 eV for all the simulated samples strongly indicating a hoping transport mechanism. These results were compared to experimental and previous works where a good agreement was observed.
Layer Model for Gate-based Modular Quantum Computers
Authors: Brink Rob F.M. , Boschero Juan C. , Amoretti Michele
Published: February 2025

We propose a layer model to specify functionality and interfacing for hardware and software modules, to enable modular quantum computers. The group of lower layers covers multiple stacks, one for each hardware architecture, while the upper layers are defined around a common software stack. A hardware abstraction layer connects the two. The addition of a separate communication unit offers a robust separation between the stack and the outside world, and allows controlled access for multiple users as well as for being a server to hybrid computing systems.
Evaluating Placement Quality in Allied Health: Rasch-Based Validation of the Clinical Placement Quality Survey - Student
Authors: Jones Taryn , Dyer Brett , Howells Simone , Palmer Tanya , Sattler Larissa , Archbald Katrina , Garret Joel , Williams Emily , Randall Christine , Hams Andrea
Published: February 2025

The Clinical Placement Quality Survey – Student (CPQS-S) was developed to capture allied health students' perceptions of placement quality, in alignment with the Best Practice Clinical Learning Environment framework. This study aimed to validate the CPQS-S using Rasch Analysis across multiple allied health disciplines, encompassing students from Clinical Exercise Physiology, Exercise Science, Nutrition and Dietetics, Occupational Therapy, Physiotherapy, Rehabilitation Counselling, Social Work, and Speech Pathology programs. Data collected from 933 students were divided into development and validation samples. The CPQS-S was confirmed to be measuring a unidimensional construct and Rasch Analysis showed that items demonstrated strong fit statistics and separation reliability, affirming the tool’s psychometric robustness in measuring student perceptions. These findings support the CPQS-S as a reliable, data-driven instrument that consistently assesses placement experiences across diverse settings. The validated structure underscores the CPQS-S as a reliable instrument for assessing and benchmarking placement quality, providing educators with actionable data to enhance clinical learning environments. More broadly, these findings contribute to the advancement of work-integrated learning research by offering a validated tool to inform educational interventions and quality improvement initiatives in health professions education.
Prevalence and Associated Factors of Anxiety and Depressive Symptoms Among Kidney Transplant Recipients In the Post- COVID-19 Era: A Cross-Sectional Study in China
Authors: Zhang Hong , Zhang Sai , Zhou Miao , Geng Chunmi , Ding Xiang
Published: February 2025

Background
Anxiety and depression are highly prevalent and disabling mental disorders that often coexist. Kidney transplant recipients are at high risk of anxiety and depression, especially during the COVID-19 pandemic. However, studies focusing on depression and anxiety among kidney transplant recipients in the post-COVID-19 era are lacking.
Objective
This study aimed to analyze the prevalence and risk factors associated with anxiety symptoms alone (ASA), depressive symptoms alone (DSA), and comorbid anxiety and depressive symptoms (CADS) in kidney transplant recipients after the COVID-19 pandemic.
Methods
A cross-sectional survey was conducted among kidney transplant recipients in a tertiary hospital in Hunan, China, from December 2022 to December 2023. Anxiety and depressive symptoms were assessed using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), based on which participants were divided into four groups: normal (no anxiety or depressive symptoms), ASA, DSA, and CADS. Clinical characteristics were compared between the groups, and the risk factors associated with ASA, DSA, and CADS were analyzed using multiple logistic regression.
Results
A total of 517 kidney transplant recipients were enrolled in this study, and 321 (62.1%) had neither anxiety nor depression symptoms. ASA was identified in 3.7% of recipients (n = 19), DSA in 20.3% (n = 105), and CADS in 13.9% (n = 72). Multiple logistic regression showed that rejection was positively associated with ASA, and vaccination was negatively associated with DSA. Younger age, transplant nephritis/nephropathy, a history of postoperative pulmonary infection, and rejection were positively associated with CADS.
Conclusion
In the post-COVID-19 era, anxiety and depressive symptoms remain prevalent among kidney transplant recipients and are associated with various factors. Our findings provide helpful guidance to develop targeted and effective interventions based on anxiety and depressive status to improve their mental health.
Aktivierung kleiner Moleküle durch Hauptgruppenverbindungen
Authors:   , Karaca Uhut
Published: February 2025

Die vorliegende publikationsbasierte Dissertation umfasst vier Projekte, in denen die Aktivierung kleiner Moleküle im Mittelpunkt steht. Diese zentrale Herausforderung wird in jeweils zwei Fällen durch ambiphile, niedervalente Hauptgruppenverbindungen und intermolekulare Lewis-Säure/Base- Paare gelöst. Mit quantenchemischen Methoden wurden die zugrundliegenden Reaktionsmechanismen untersucht und die Bindungssituationen wichtiger Verbindungen aufgeklärt. Alle Projekte, von denen drei bereits in wissenschaftlichen Fachzeitschriften veröffentlicht wurden, entstanden in enger Zusammenarbeit mit experimentellen Partnern.
Boosting determinant quantum Monte Carlo with submatrix updates: Unveiling the phase diagram of the 3D Hubbard model
Authors: Sun Fanjie , Xiao Yan Xu
Published: February 2025

Determinant Quantum Monte Carlo (DQMC) provides numerically exact solutions for strongly correlated fermionic systems but faces significant computational challenges with increasing system size. While submatrix updates were originally developed for Hirsch-Fye QMC with onsite interactions at finite temperatures, their comprehensive application in DQMC has remained unexplored despite noted algorithmic similarities. We present the first comprehensive application of submatrix updates in DQMC, significantly extending beyond the original scope by enabling simulations with extended interactions and at zero temperature. Building upon conventional fast updates and delay updates, our generalized implementation achieves an order-of-magnitude improvement in computational efficiency, enabling simulations of the half-filled Hubbard model on lattices up to 8,000 sites - a scale previously challenging with standard DQMC implementations. This enhanced computational capability allows us to accurately determine the finite-temperature phase diagram of the 3D Hubbard model at half-filling. Our findings not only shed light on the phase transitions within these complex systems but also pave the way for more effective simulations of strongly correlated electrons, potentially guiding experimental efforts in cold atom simulations of the 3D Hubbard model.
Interseccionalidades de gênero no contexto da feminização das migrações: A (in)efetivação do direito humano à saúde das mulheres migrantes brasileiras em Portugal sob as lentes do direito fraterno
Authors: Dutra Gabrielle Scola , Marques Cláudia Marília França Lima , Sturza Janaína Machado
Published: February 2025

A temática da presente pesquisa centra-se em abordar as mulheres migrantes brasileiras em Portugal no contexto do direito humano à saúde. O objetivo geral é analisar a (in)efetividade do direito humano à saúde das mulheres migrantes brasileiras que estão em Portugal sob a perspectiva da fraternidade. Os objetivos específicos são: 1) Abordar as complexidades interseccionais de gênero que norteiam a existência das mulheres migrantes brasileiras em Portugal; 2) Analisar a (in)efetivação do direito humano à saúde das mulheres migrantes brasileiras em Portugal sob as lentes do Direito Fraterno. A título metodológico, a pesquisa assenta-se no método hipotético-dedutivo, instruído por uma análise bibliográfica e documental. A base teórica escolhida para a articulação da análise proposta é a Teoria do Direito Fraterno, desenvolvida pelo jurista italiano Eligio Resta. Diante das interseccionalidades de gênero em operacionalização no contexto da feminização das migrações, questiona-se: é possível analisar a (in)efetivação do direito humano à saúde das mulheres migrantes brasileiras em Portugal sob as lentes do direito fraterno? Constata-se que por ser um bem comum da humanidade, a saúde precisa ser acessada por todos e ser articulada estruturalmente para todos. Assim, a fraternidade é um mecanismo de efetivação dos direitos humanos, no entanto, precisa tornar-se regra e transcender o plano teórico para ser incorporada na dinâmica das políticas de saúde em Portugal em prol da efetivação do direito humano à saúde das mulheres migrantes brasileiras.
Princípio da coragem decisional na esfera administrativa – Como o atual modelo de punição do administrador público pode levar a uma seleção dos piores?
Authors: Guimarães Raphael Pinheiro Cavalcanti
Published: February 2025

O presente artigo tem por objetivo expor o que seria o princípio da coragem decisional na esfera administrativa, tomando por base a teoria das escolhas públicas de que as decisões governamentais são tomadas exclusivamente no melhor interesse público. Que não subsiste o mito de completude do ordenamento jurídico, de que o ato de administrar seria apenas aplicar a lei de ofício, mas que existiria uma gama de possibilidades vinculadas e discricionárias na concretização de uma decisão administrativa. O artigo tem por objetivo demonstrar que mesmo diante de uma infinidade de regulamentos balizando a decisão administrativa sempre vai existir um espaço de discricionariedade pessoal do administrador a que chamamos coragem de decidir e que esta decisão deve ser norteada pela Constituição, pautada na honestidade e boa-fé objetiva. Que seria balizado por discricionariedade crítica vinculada, bem alicerçado na segurança jurídica conferiria um elevado nível de confiança à decisão da administração. Que tentar suprimir ou desconconsiderar essa margem de manobra do administrador levaria a uma ausência de decisões ou mesmo a uma seleção adversa de gestores pinçando somente aqueles dispostos a assumir o risco de decidir. Essa política do medo levaria a um “apagão da canetas” onde o gestor se esquivaria de tomar da decisão. A metodologia pesquisa aplicada foi bibliográfica e documental e detectou que a coragem tem balizado a tomada de decisões dentro da administração pública onde o gestor assume o risco pessoal da decisão e se compromete em uma eventual contestação da decisão.
Neoliberalismo e austeridade: O modelo de autoritarismo econômico que marca a afirmação do projeto neoliberal contemporâneo
Authors: Gonçalves Marcelo , Lucas Doglas Cesar
Published: February 2025

O neoliberalismo, para além de uma doutrina econômica, mostrou um potencial inimaginável de remodelação da sociedade como um todo, nisso incluído o próprio sujeito. O regime neoliberal utiliza de várias ferramentas para impor sua lógica, dentre elas as medidas de austeridade, como se a única forma de alcançar o progresso econômico, que na realidade nunca chega, se desse através da redução de direitos sociais e diminuição do gasto público. Assim, a pesquisa busca a resposta à pergunta de em que medida o neoliberalismo utiliza do discurso fatalista do mito da austeridade para impor a sua lógica? O objetivo é demonstrar as bases do pensamento neoliberal e como se dá o funcionamento da austeridade no modelo econômico contemporâneo, em busca de uma alternativa. O método de pesquisa utilizado é o hipotético-dedutivo, e o método de abordagem é o bibliográfico, a partir da análise de obras, periódicos e textos jornalísticos, vinculados ao tema. A primeira seção do artigo será dedicada ao estudo das origens do neoliberalismo. Na segunda seção, estudar-se-á a capacidade de o neoliberalismo moldar a política, a sociedade e o próprio sujeito, e como o neoliberalismo foi capaz de incluir o sofrimento no modo-de-ser contemporâneo. Por derradeiro, na terceira seção será analisada a austeridade e sua mitologia, e a forma como ela é utilizada como discurso justificador do aprofundamento da precarização neoliberal. Com efeito, a austeridade é mais uma arma do arsenal do neoliberalismo para a imposição de sua lógica autoritária, exploradora e precarizante, que dita o mundo contemporâneo.
O campo do direito e relações étnico-raciais e a educação jurídica antirracista no Programa de Pós-Graduação em Direito da Universidade de São Paulo (1980-2021)
Authors: Do Canto Vanessa Santos
Published: February 2025

O presente artigo apresenta alguns resultados de pesquisa de pós-doutorado em Direito financiada pela Pró-Reitoria de Inclusão e Pertencimento da Universidade de São Paulo (PRIP USP). Aborda o campo do Direito e Relações Étnico-Raciais e sua relação com uma educação jurídica antirracista. Neste sentido, destacamos que apesar de o campo já existir há mais de 40 anos no Brasil, somente a partir da implementação mais consistente de políticas para promoção da igualdade racial, é que vem sendo desenvolvidos estudos mais sistemáticos no campo. Mas, ainda há muito a ser feito. As novas DCN´s para os cursos de bacharelado em Direito de 2018 abrem um espaço de diálogo importante entre o campo de Direito e Relações Étnico-Raciais e o de Educação Jurídica Antirracista que pode possibilitar a consolidação de ambas as áreas de maneira autônoma e consistente. Nosso método é histórico-jurídico, com análise de dissertações e teses e utiliza referencial teórico produzido por juristas negras e negros.
Evaluating the impact of different decomposition methods on the accuracy of reference evapotranspiration forecasts in humid regions
Authors: Yan Zihuang , Lu Xianghui , Wu Lifeng
Published: February 2025

The forecasting of reference crop evapotranspiration (ET0) plays a crucial role in irrigation scheduling. In this study, we employed deep learning (DL) models, including convolutional neural network (CNN), long short-term memory (LSTM), bidirectional LSTM (Bi-LSTM), CNN-LSTM, and CNN-Bi-LSTM, to forecast ET0 at three different stations (Nanchang, Xinjian, and Dongxiang) in Jiangxi Province, China, for various forecast lead times (1, 3, 5, 7, 10, and 15 days). The experimental results demonstrate that LSTM and Bi-LSTM achieved the highest predictive accuracy across the three stations, with corresponding average values of coefficient of determination (R²), mean absolute error (MAE), root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), and combined accuracy (CA) of 0.9646, 0.2456 mm day−1, 0.2931 mm day−1, 0.9646, and 0.2043, respectively. Compared with the baseline model, the hybrid models incorporating complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), EEMD, and CEEMD exhibited inferior predictive performance. Additionally, their significantly longer runtime resulted in operational costs that were 8–10 times higher. In contrast, DL-based LSTM and Bi-LSTM are excellent algorithms for forecasting ET0 across various time intervals.
Application of the RUSLE model to estimate sedimentation in the Lwanyo Reservoir in Mbarali District Mbeya – Tanzania
Authors: Moshi Baraka Moses , Katambara Zacharia , Lingwanda Mwajuma
Published: February 2025

The constant increase in the global population is proportional to the increase in human basic needs, which are associated with environmental degradation. The impact of sedimentation in water bodies poses social and economic challenges as it lessens the storage capacities. The RUSLE model expresses the effect of sedimentation in the Lwanyo reservoir sub-catchment. The maximum erosivity factor (R) is 421.39 (MJ mm ha−1 h−1 yr), the soil erodibility factor (K) is 0.071, the topographic factor (LS) due to catchment topography is 9.086, the vegetation cover and management factor (C) is 0.1045, and the conservation practice factor (P) is 0.14 f. The RUSLE model estimates soil sediment loss to be 3.977 tonnes/ha/year as the average annual soil loss for the Lwanyo sub-catchment area is 39.6 km2. This value indicates that for every hectare, the average annual soil loss is 1.004 × 10−3 tonnes/year, with silt as the dominant soil sediment being eroded. When anteversion measures are not taken, it is estimated that after 30 years, the sediment load will be 119.31 tonnes, which will reduce the storage capacity by 68.177 m3. Reducing catchment anthropogenic activities and practising catchment afforestation will increase the soil mass compatibility, hence lowering the soil loss effect and the sedimentation effect.
AUTOMATED PERSONALIZED ARRHYTHMIA MONITORING SYSTEM
Authors:   Penza State Technological University, A. Gasanova Veronika , V. Pushkareva Anastasiya ,   Penza State Technological University
Published: February 2025

Background. The detection of arrhythmia is considered the basis for the diagnosis of cardiovascular diseases at the present time. Arrhythmia can be caused by various factors, such as heart disease, medication, stress, in some cases, arrhythmia can be life-threatening, so the task of its timely detection and treatment is extremely urgent. The nonstationary nature and variability of the electrocardiogram form in different patients leads to the lack of a universal approach for detecting arrhythmias at the time of their occurrence. The developed methods for identifying and classifying signs of arrhythmia, implemented in automated arrhythmia monitoring systems, optimize the work of doctors in diagnostic tasks by analyzing electrocardiograms and other data to identify signs of arrhythmia. The existing automated systems for the diagnosis of arrhythmia are based on the use of machine learning algorithms for the analysis of an electrocardiogram, and identify signs characteristic of electrocardiogram analysis, and identify signs characteristic of various types of arrhythmias. The aim of the work is to develop the structure of an automated arrhythmia monitoring system, analyze the main methods for analyzing heart rate variability and use adaptable threshold values using the example of an electrocardiogram in pathology. Materials and methods. The study materials were electrocardiograms with arrhythmia episodes from certified databases. The study was conducted using mathematical statistics methods. Results. The structure of an automated personalized arrhythmia monitoring system with the integration of personal medical information and the use of artificial intelligence is proposed. Conclusion. The structure of an automated arrhythmia monitoring system has been developed, the main methods of analyzing heart rate variability have been analyzed and an adaptable threshold for patient age has been used on the example of an electrocardiogram for arrhythmia.
DEVELOPMENT OF A SOFTWARE ALGORITHM FOR OBTAINING MRI IMAGES OF THE BRAIN
Authors:   Bauman Moscow State Technical University, V. Bogdanov Evgeniy
Published: February 2025

Background. Research into the formation of algorithms for obtaining MRI images is highly relevant. The purpose of the work is to analyze advances in the development of a software algorithm for obtaining MRI images of the brain. Materials and methods. Found 17 articles in specialized databases Cyberleninka, eLibrary, PubMed, ScienceDirect. Methods of analysis, synthesis and induction were used. Results. The best way to suppress noise in brain MRI images is the Gaussian Filter, the improvement of which has been achieved through the evolution of neural networks. Automatic segmentation achieved performance comparable to manual segmentation by using a combined system with integrated modules to eliminate the influence of noise and background, to identify image features and edge information. The Sobel operator allows the bright edges of an MRI image to be more clearly identified for removal. For volumetric visualization of brain images, due to its labor-intensive nature, the use of layer-by-layer representation of MRI data is proposed. Watershed segmentation and the K-nearest neighbor classification algorithm resulted in an MRI image accuracy of only 89 %; the wavelet transform was performed without calculating the accuracy. Support Vector Machine (SVM) using the GLCM algorithm showed an accuracy of up to 93 %, but only 36 images were used for training. Based on 150 MRI images of the brain, their classification was performed using the MATLAB 2018a software package (Matrix Laboratory) and a testing accuracy of 96,7 % was achieved. Conclusions. Improved algorithms for removing noise and bright edges from MRI brain images, segmenting them, and creating them with volumetric visualization are being created, including effective software modules for automatic segmentation based on convolutional neural networks.
ALGORITHMIC SUPPORT OF A MULTI-AGENT INFORMATION AND MEASUREMENT CONTROL SYSTEM FOR A GROUP OF UNMANNED AERIAL VEHICLES
Authors:   Military Institute of the Air Defense Forces of Aktobe, G. Izbasov Askar , D. Golovin Pavel ,   Penza State University, K. Yurkov Nikolay ,   Penza State University, V. Goryachev Nikolay ,   Penza State University, I. Kochegarov Igor ,   Penza State University
Published: February 2025

Background. The paper formalizes the tasks of intelligent control of a group of unmanned aerial vehicles. The tasks of intellectual management of a group of UAV agents are evaluated. In the paradigm of the multi-agent approach, the algorithm of functioning of the information and measurement control system for a group of unmanned aerial vehicles is disclosed in detail. Materials and methods. During the analysis of known approaches to the management of a group of flight vehicles, their disadvantages are substantiated and the advantages of multi-agent management with the representation of each control object in the form of a functionally self-sufficient agent are highlighted. The algorithm of operation of a multi-agent intelligent control system for a group of UAVs is given. Results. The algorithm provides an increase in the level of autonomous self-organization when performing both planned and unplanned tasks with periodic target allocation. Conclusions. The stages of performing the tasks of intelligent control of a group of UAV agents are formulated, taking into account the influencing factors that make it possible to effectively coordinate the actions of the devices within the group. An algorithm has been developed for the operation of a multi-agent control system for a group of UAV agents, taking into account devices with limited performance characteristics, ensuring the autonomy of the group with periodic distribution of goals to perform planned tasks.
RESEARCH OF VOLTAMPER CHARACTERISTICS OF SEMICONDUCTOR STRUCTURES AND DEVICES
Authors:   Penza State University, A. Pecherskaya Ekaterina , V. Karpanin Oleg ,   Penza State University, E. Nelyutskova Diana ,   Penza State University, A. Nelyutskov Mikhail ,   Penza State University, S. Aleksandrov Vladimir ,   Penza State University, E. Zhurina Angelina ,   Penza State University
Published: February 2025

Background. The object of study is an automated measuring system designed to measure the electrical parameters of semiconductor structures and devices. The subject of the study is the current-voltage characteristics of semiconductor structures and devices. The purpose of the work is to study the current-voltage characteristics of semiconductors using the example of a KT306A silicon transistor using an automated measuring system. Materials and methods. The structure of an automated measuring system for studying the current-voltage characteristics of semiconductor structures and devices is considered. The operating principles of the following methods for measuring semiconductor characteristics have been tested: voltmeter-ammeter, capacitive divider, bridge and resonant. Results. The volt-ampere characteristic of the KT306A silicon transistor was studied using an automated measuring system. The possibility of using the proposed measuring instrument to study the volt–ampere characteristics of TIR structures (metal-dielectric-semiconductor) when using a layer of tin dioxide doped with antimony as a transparent conductive oxide is shown. Conclusions. The structure of an automated measuring system for studying the volt-ampere characteristics of semiconductors is considered. The results of the approbation of this system are presented when measuring the electrophysical parameters of the KT306A semiconductor transistor, as well as the new metal-dielectric-semiconductor structure obtained by the authors based on antimony-doped tin dioxide synthesized by spray pyrolysis.
AUTOMATED INFORMATION-MEASURING SYSTEM FOR MEASUREMENT OF VOLTAGE CHARACTERISTICS OF SEMICONDUCTOR STRUCTURES
Authors:   Penza State University, A. Pecherskaya Ekaterina , V. Karpanin Oleg ,   Penza State University, E. Tuzova Diana ,   Penza State University, A. Nelyutskov Mikhail ,   Penza State University, A. Danilov Aleksandr ,   The State Regional Center for Standardization, Metrology and Testing, V. Artamonov Dmitry ,   Penza State University
Published: February 2025

Background. Structures based on semiconductor materials are widely used in nano- and microelectronics devices. One of the promising directions is related to the production and research of transparent conductive films and structures based on them. The purpose of this study is to develop an automated information and measurement system for measuring the volt–ampere characteristics of semiconductor structures. Materials and methods. The information and measurement system is designed to study the volt-ampere characteristics of various semiconductor structures, including transparent conductive coatings obtained by spray pyrolysis on glass substrates. Results. The structure of the measuring unit of an automated information and measurement system is presented, which includes voltage and current measurement channels on the structure under study, as well as a thermal chamber, which allows us to study the temperature dependences of the electrical parameters of semiconductor components. Conclusions. A methodology for measuring the volt-ampere characteristics of semiconductor structures is described, which has been tested in the study of transparent conductive coatings synthesized on the basis of spray pyrolysis. Automation of measurement procedures has made it possible to reduce the time spent on the measuring process and eliminate the subjective components of measurement errors.
MONITORING THE PHENOLOGY OF VEGETATION DEVELOPMENT BY MEASURING INDUCED FLUORESCENT EMISSION OF CHLOROPHYLL
Authors:   National Aerospace Agency, Gulali oglu Agayev Fakhraddin , Hamid oglu Asadov Hikmat ,   National Aerospace Agency, Eldar oglu Omarov Meradj ,   National Aerospace Agency, Salman gizi Aliyeva Sevda ,   National Aerospace Agency
Published: February 2025

Background. Accurate determination of phonological cycle of vegetational growth is essential for increase of effectiveness of agriculture. The issues of monitoring the phenology of vegetation development in an optimal mode are considered. The goal is to optimize the research of vegetation phenology by measuring the induced fluorescence radiation of chlorophyll. The object of the study is the phenology of vegetation development. The subject of the study is the research method for investigating the phenology of vegetation, which consists in measuring the induced fluorescent radiation of chlorophyll instead of the LAI (Leaf Area Index). Materials and methods. In the model study of the average integral value of the fluorescent radiation of the crown, solar radiation was replaced by laser radiation, which avoids the negative influence of atmospheric factors. The variational method was used to reach the formulated goal. Results. The optimization made it possible to determine the worst-case model dependence L = L(φ), where L is the distance between the lidar and the tree; φ is the quantum yield of the fluorescent signal, which leads to the smallest value of the measured average integral value of the fluorescence signal. Conclusion. It is recommended not to use such a measurement mode in the practice of monitoring plant phenology using the results of measuring the fluorescent signal of chlorophyll radiation.
Stratigraphic architecture of the Gordón Member, and its paleogeographic implications (Frasnian, Cantabrian Mountains, Spain)
Authors: Van Loevezijn Gerard
Published: February 2025

The Gordón Member (lower-middle Frasnian, sequence A) of the Cantabrian Zone forms an asymmetric depositional cycle, characterized by a basal thin, transgressive fining-upward part, indicating the early Frasnian transgression against the Cantabrian Massif towards the north, and a distinct overlying coarsening- and shallowing-upward package, when the available accommodation space was filled. A tectonic shortening by thrusts and folds in the southern part of the Somiedo–Correcilla Unit of 41% is estimated. From the restored original extent, the Gordón depositional environment is re-interpreted as a southward sloping, mixed siliciclastic carbonate shelf. There is a change in basin configuration from an extensive gentle dipping profile (sequence A), to a narrow steeper profile with an increase in the depositional dip (sequences B, C), caused by uplift and enlargement of the core area of the Cantabrian Zone, and subsidence of the External Zone.
The Apoptotic and Antioxidant Effects of Capsaicin on Colorectal Cancer Cell Lines
Authors: Hormozi Maryam , Baharvand Parastoo
Published: February 2025

Background

Capsaicin is a natural alkaloid and one of the main active components found in spicy peppers, responsible for their hot taste. It possesses antioxidant and anti-tumor properties.

In this study, the effect of capsaicin on the expression of genes involved in apoptosis, such as Bax, Bcl2, Caspase3, p53, PPARγ, Nrf2, and the activity of antioxidant enzymes, including superoxide dismutase, catalase, and glutathione peroxidase, was investigated in LS-180 and HCT-116 human colorectal cancer cell lines.

Methods

Human colorectal cancer cell lines (LS-180 and HCT-116) were treated with various concentrations of capsaicin for 24 hours. The expression levels of genes, including Bax, Bcl2, Caspase3, Nrf2, PPARγ, and p53, were determined using the Real-time PCR method, and the activity of antioxidant enzymes was measured using colorimetric assays.

Results

Analysis of gene expression results showed that capsaicin increased the expression levels of Bax, Bcl2, Caspase3, and p53 in both cell lines, but this increase was statistically significant in the LS-180 cell line. Capsaicin also significantly increased the expression of Nrf2 and PPARγ in both cell lines. The activity of antioxidant enzymes, including superoxide dismutase, catalase, and glutathione peroxidase, was increased in both cell lines compared to the control.

Conclusion

It appears that capsaicin may play a role in inducing apoptosis and reducing the proliferation of colorectal cancer cells through the upregulation of Nrf2, PPARγ, and p53 gene expression and the increase in antioxidant enzyme activity. Additionally, the upregulation of Bax and Caspase 3 expression suggests a potential mechanism for capsaicin-induced apoptosis and the reduction of colorectal cancer cell growth.
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Authors: Monteiro Huertas Daniel
Published: February 2025

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User Personas for eHealth Regarding the Self-Management of Depressive Symptoms in People Living With HIV: Mixed Methods Study (Preprint)
Authors: Zhao Ting , Tang Chulei , Ma Jun , Yan Huang , Su Xinyi , Zhong Xueyuan , Wang Honghong
Published: February 2025

BACKGROUND

eHealth has enormous potential to support the self-management of depressive symptoms in people living with HIV. However, a lack of personalization is an important barrier to user engagement with eHealth. According to goal-directed design, personalized eHealth requires the identification of user personas before concrete design to understand the goals and needs of different users.

OBJECTIVE

This study aimed to identify user personas for eHealth regarding the self-management of depressive symptoms in people living with HIV and explore the goals and needs of different user personas for future eHealth.

METHODS

We used an explanatory sequential mixed methods design at the First Hospital of Changsha City, Hunan Province, China, from April to October 2022. In the quantitative phase, 572 people living with HIV completed validated questionnaires with questions related to demographics, self-efficacy, self-management abilities of depressive symptoms, and eHealth literacy. Latent profile analysis was performed to identify different user personas. In the qualitative phase, 43 one-to-one semistructured interviews across different user personas were conducted, transcribed verbatim, and analyzed using conventional content analysis. The findings from both phases were integrated during the interpretation phase.

RESULTS

Three types of user personas could be identified, including “high-level self-managers” (254/572, 44.4%), “medium-level self-managers” (283/572, 49.5%), and “low-level self-managers” (35/572, 6.1%). High-level self-managers had relatively high levels of self-efficacy, self-management abilities of depressive symptoms, and eHealth literacy. High-level self-managers had a positive attitude toward using eHealth for the self-management of depressive symptoms and desired access to self-management support for depressive symptoms from eHealth with high usability. Medium-level self-managers had relatively medium levels of self-efficacy, self-management abilities of depressive symptoms, and eHealth literacy. Medium-level self-managers felt burdened by using eHealth for the self-management of depressive symptoms and preferred to access self-management support for HIV from eHealth with privacy. Low-level self-managers had relatively low levels of self-efficacy, self-management abilities of depressive symptoms, and eHealth literacy. Low-level self-managers had an acceptable attitude toward using eHealth for the self-management of depressive symptoms and desired access to professional guidance from eHealth with privacy and no cost (“free of charge”).

CONCLUSIONS

The 3 user personas shed light on the possibility of personalized eHealth to support the self-management of depressive symptoms in different people living with HIV. Further research is needed to examine the generalizability of the user personas across study sites.
РАЗРАБОТКА МНОГОТАКТНОГО МИКРОПРОЦЕССОРНОГО ЯДРА RISC-V ДЛЯ РЕАЛИЗАЦИИ В БАЗИСЕ ПЛИС CYCLONE V
Authors: Строгонов А.В. , Винокуров А. , Строгонов А.И. , Арсентьев А.
Published: February 2025

В статье рассматриваются вопросы разработки многотактного микропроцессорного ядра RISC-V с управляющим автоматом, созданным с помощью редактора конечных автоматов (State Machine Editor) в САПР Altera Quartus II для последующей реализации в базисе ПЛИС серии Cyclone V.
José Martí y Nuestra América
Authors: Guadarrama González Pablo , Santana Adalberto , Barbosa dos Santos Fabio Luis , Augier Ángel , Sosa Fuentes Samuel , Rezende de Carvalho Eugênio
Published: February 2025

José Martí (La Habana, 1853-Dos Ríos, 1895) es uno de los pensadores, poetas, periodistas y próceres más ilustres de nuestra América. En esta obra se presentan once trabajos de un grupo de intelectuales y académicos, cuya tarea es analizar y reflexionar desde distintos enfoques la obra martiana. Cada trabajo ofrece un estudio invaluable sobre el pensamiento y la acción de uno de los latinoamericanos más universales.
Exploring the Impact of Regular Lifecycle Activities and Habits on Heart Disease Risk
Authors: Rahman Sumaia
Published: February 2025

Lifestyle choices have a significant impact on the development and progression of heart disease, which continues to be
one of the world's leading causes of morbidity and mortality. This study investigates the link between heart disease risk and
routine lifetime activities and habits. It investigates the effects of smoking, drinking, physical activity, sleep habits, and asthma
on cardiovascular health. It also takes into account how age, gender, and pre-existing diseases like diabetes interact to influence
these risks. The results emphasize the significance of establishing and maintaining healthy lifestyle practices as a foundation for
preventing heart disease and enhancing cardiovascular outcomes in general. Public health programs and individuals looking to
improve their heart health through wise decision-making can benefit from the practical insights this study offers lifestyle choices
have a significant impact on the development and progression of heart disease, which continues to be one of the world's leading
causes of morbidity and mortality. This study investigates the link between heart disease risk and routine lifetime activities and
habits. It investigates the effects of smoking, drinking, physical activity, sleep habits, and asthma on cardiovascular health. It
also takes into account how age, gender, and pre-existing diseases like diabetes interact to influence these risks. The results
emphasize the significance of establishing and maintaining healthy lifestyle practices as a foundation for preventing heart
disease and enhancing cardiovascular outcomes in general. Public health programs and individuals looking to improve their
heart health through wise decision-making can benefit from the practical insights this study offers.
A Review: Deep Learning-Based Pneumonia Detection and Classification
Authors: Thakur Ms. Puja
Published: February 2025

Pneumonia as a disease worsens due to environmental pollution and impacts especially children, elderly, and weak
immune system patients. The proper and timely diagnosis of pneumonia is very important as it reduces the risk factors that are
likely to occur due to pneumonia This paper seeks to eradicate these issues using CNN architectures. pneumonia can be
classified into three different types, namely, Bacterial pneumonia, Viral pneumonia, and Fungal pneumonia; the task of this
thesis is to automatically detect these types of pneumonia from images of Chest X-ray. CNN (Convolutional Neural Networks)
using system-aided technology of deep learning has brought significant changes in the classification of pneumonia images from
x-ray of chest over the last decade. The model which was trained on a dataset of 20 thousands images having a size of (224 x
224) pixels and tested a group size of 32 provided an astounding accuracy of 95%. Two main limitations of existing models are
high computational costs and logistical. Incorporating advanced algorithms such as transfer learning, pre-trained models and
deep convolutional neural networks overcomes these limitations. Such AI-supporting medical systems are very effective not only
to improve the early and accurate diagnosis but also to improve the availability of health care systems in developing countries
Study on Enhancing Agricultural Soil Fertility by the Recovering of Organic Liquid Fertilizer from Sugarcane Industrial Press-Mud
Authors: Badiger Girish Vittal
Published: February 2025

This study work examines the extraction of organic liquid fertilizer from sugarcane industrial press-mud, emphasizing
its capacity to improve agricultural soil fertility. Challenges in trash management. The sugarcane business produces significant
by-products, including filter mud, which, when properly handled by anaerobic digestion and composting, can produce nutrientdense fertilizers. This study emphasizes the effects of organic fertilizers on soil health, illustrating enhancements in nutrient
concentrations, microbial activity, and overall soil structure. Comparative analyses demonstrate substantial improvements in
essential soil parameters after the application of organic liquid fertilizer, underscoring its effectiveness as a sustainable
substitute for traditional chemical fertilizers. The results highlight the significance of incorporating agricultural by-products
into sustainable practices, aiding in waste reduction and fostering ecological equilibrium within farming systems. This study
encourages the adoption of innovative recycling techniques in the sugarcane sector to strengthen environmentally friendly and
productive sustainable farming methods. Future implications indicate that expanding these approaches could profoundly alter
food production systems and enhance sustainability objectives in agriculture.
Identification of human genes interacting with HIV attachment receptors and potentially involved in disease pathogenesis based on multi-network bioinformatics analysis
Authors: Davydenko V. S. , Ostankova Yu. V. , Shchemelev A. N. , Anufrieva E. V. , Kushnareva V. V. , Totolian A. A.
Published: February 2025

The aim of the study was to search for candidate genes interacting with HIV attachment receptors (CCR5, CXCR4, CCR2, CD4) and potentially involved in disease pathogenesis, based on complex in silico network algorithms.

Materials and methods. A number of web applications were used to analyse genetic and protein-protein networks, the algorithms and databases of which are complementary. The CD4 receptor and chemokine co-receptor genes CCR5, CXCR4 and CCR2 were used as background/baseline genes in all cases, as their protein products play a key role in the process of virus attachment to the cell. The data were analysed, including a two-stage ranking of the identified candidate genes according to their interaction with background genes and their presence in the results of network analysis of different web resources.

Results and discussion. According to the results, candidate genes were identified using three web resources: HumanNet — 451 candidate genes, GeneMania — 86, STRING — 61. Based on the results of crossing the three web resources, the total number of candidate genes associated with background genes was 511. The total number of genes with a rank above 4 points was 68. Of these, 31 genes (45.6%) encoding C-C/C-X-C family chemokine ligands, 12 genes (17.6%) encoding C-C/C-XC receptors, 8 genes (11.8%) encoding receptors of other types, and 17 genes (25%) encoding proteins of other types. The following receptors and proteins that are not members of the C-C/C/C-X-C families of the indicated groups have been identified: ARRB2, TLR2, ADRA1A, ARRB1, FPR1, FPR3, GNAI1, PF4, PIK3CG, PPIA, S1PR3, GNA11, GNAI2, GNG2, PTPRC, ADRA1B, ADRB1, AFP, CD164, DBN1, GNB1, ITCH, RNF113A, SLC1A1, USP14.

Conclusion. Most of the identified candidate genes interacting with HIV attachment receptors and potentially involved in the pathogenesis of the disease were those encoding chemokine receptors and their C-C/C-X-C family ligands, the role of which in the progression of HIV infection is known or under active investigation. At the same time, genes whose products have never been considered as possible participants in the pathogenesis of the disease were identified, but the results suggest that they may play a role in the regulation of virus entry and/or in the modulation of the immune response of the organism. Further bioinformatic and experimental studies of the functions and polymorphic variants of these genes will help to improve the understanding of the genetic basis of HIV pathogenesis and identify new directions for therapeutic approaches.