bluuebunny/crossref_metadata_2025 huggingface dataset:
Inclusion body myositis accompanied with T-cell large granular lymphocyte leukemia
Authors: Jeong Dong-Young , Lee Seung-Hee , So Jungmin , Kim Ji Yon , Kim Young Chul , Kim Miyoung , Choi Eun-Ji , Lee Eun-Jae , Park Hyung Jun , Lim Young-Min , Kim Hyunjin
Published: October 2023

Inclusion body myositis (IBM) is a late-onset myopathy that manifests as distinct muscle weakness in the quadriceps, finger flexors, and ankle dorsiflexors. T-cell large granular lymphocyte (T-LGL) leukemia is a late-onset clonal disorder of CD8+ cytotoxic T-cells that is often accompanied by autoimmune diseases. To date, the association between IBM and T-LGL leukemia has been infrequently reported. Here, we report a case of a patient with T-LGL leukemia who developed IBM, along with in-depth laboratory, electrophysiological, and pathologic findings.
Diagnosis and management of neurogenic orthostatic hypotension
Authors: Ju Woohee , Sinn Dong In
Published: October 2023

Orthostatic hypotension is a sustained and pathological drop in blood pressure upon standing. Orthostatic hypotension can be due to non-neurogenic conditions or autonomic disorders. Impaired baroreflex-mediated vasoconstriction and insufficient release of norepinephrine play key roles in the pathophysiology of neurogenic orthostatic hypotension. Its common symptoms mainly related to inadequate cerebral blood flow include dizziness, lightheadedness, and syncope. It is crucial to differentiate neurogenic orthostatic hypotension from non-neurogenic orthostatic hypotension. For the management of neurogenic orthostatic hypotension, physicians should implement non-pharmacological methods and, if possible, reverse combined non-neurological conditions. Depending on severity of symptoms, pharmacological intervention may be tried after or with non-pharmacological methods. Its management should be individualized based on intensity of symptoms, comorbid conditions, drug side effects, and etiology. In this review, we discuss the definition, pathophysiology, clinical approach, and management of neurogenic orthostatic hypotension.
Simulation of a multimaterial model for modified auxetic structures
Authors: Engel Alexander , Jung Anne
Published: October 2023

Auxetic structures, which is a term used to describe materials with a negative Poisson’s ratio, show beneficial properties like a low density, a high energy absorption capacity and an increased indentation resistance. This enables applications in many fields, such as aerospace and sports industries. Given their potential, many studies have already been conducted. Previously, the geometry of a selected auxetic re-entrant structure was optimized to maximize its mass-specific energy absorption capacity for ideal usage in lightweight applications. Moreover, a homogeneous material was used, whereas the combination of multiple materials could drastically increase the performance of such structures. Hence, in this study the use of two different materials combined into a modified re-entrant structure is investigated via Finite Element simulation. The Poisson’s ratio could thus be improved, which leads toa more pronounced and longer lasting auxetic effect.
AI-assisted study of auxetic structures
Authors: Grednev Sergej , Steude Henrik S. , Bronder Stefan , Niggemann Oliver , Jung Anne
Published: October 2023

In this study, the viability of using machine learning models to predict stress-strain curves of auxetic structures based on geometry-describing parameters is explored. Given the computational cost and time associated with generating these curves through numerical simulations, a machine learning-based approach promises a more efficient alternative. A range of machine learning models, including Artificial Neural Networks, k-Nearest Neighbors Regression, Support Vector Regression, and XGBoost, is implemented and compared regarding the aptitude to predict stress-strain curves under quasi-static compressive loading. Training data is generated using validated finite element simulations. The performance of these models is rigorously tested on data not seen during training. The Feed-Forward Artificial Neural Network emerged as the most proficient model, achieving a Mean Absolute Percentage Error of 0.367 ± 0.230.
Dynamic tests of the protective and security barrier system probar
Authors: Vrtal Pavel , Kohout Tomáš , Nouzovský Luboš , Svatý Zdeněk
Published: October 2023

The purpose of this paper is to present a series of dynamic tests for testing the protective and security barrier of the PROBAR system, developed by STRIX Chomutov, a.s., according to the PAS 68:2013 standard. The goal of the tests was to assess how the obstacle resist impacts and whether it can absorb the energy exerted on it. Verification of the mechanical properties of the device was performed in two types of impact configurations. Emphasis was placed on the behaviour of both the obstacle and the vehicle during the impact and in the short time interval after the collision. In terms of criteria for evaluating the impact tests, it can be stated that Test 2 exceeded the Theoretical Head Impact Velocity (THIV) criterion by 20 km h−1, while Test 1 did not exceed the limit value. However, all values for other criteria (ASI, PHD, HIC, 3ms) were within the specified limits, and the safety barrier met the required criteria which allows to be certificated.
Detection and Practical Differentiation of Phytoplasmas from Several Host Plants Using PCR-RFLP
Authors: Mutaqin Kikin , Hidayat Purnama , Tjahjono Budi , Kusumah Yayi Munara , Suseno Rusmilah
Published: October 2023

Phytoplasma as a phytopathogenic prokaryote with a wide host range is a pathogen that needs more attention in Indonesia. This pathogen is relatively difficult to detect and identify due to its complicated biological properties. This study involved detection of phytoplasmas by polymerase chain reaction (PCR) technique with P1/P7 primers from seven symptomatic plants, i.e. Bermuda grass white leaf, bamboo yellows, witches’ broom of peanut, soybean, yard long bean, and cactus, and sweet potato little leaf. The phytoplasma DNA of the 16S rRNA gene resulting from PCR amplification was examined by digestion reaction using three endonuclease enzymes AluI, RSaI, and MSeI to generate restriction fragment length polymorphism (RFLP) profile. The seven diseased plants were confirmed positive to be associated with phytoplasma as indicated by the PCR product of 1800 bp. Based on the RFLP profiles of the three enzymes, the phytoplasmas were divided into two groups, namely group I (Bermuda grass and bamboo) and group II (peanuts, soybeans, yard long beans, cactus, and sweet potatoes). Cactus phytoplasma is a sub-group (strain) because it has a slightly different fragment of MSeI RFLP profile.
Assessment of forest cover and forest loss using satellite images in Thua Thien Hue province, Vietnam
Authors: Thien Bui B. , Phuong Vu T. , Komolafe Akinola A.
Published: October 2023

Deforestation in the tropics continues inexorably with severe implications for biodiversity conservation, climate regulation and ecosystem services. This study investigated variation in forest cover in Thua Thien Hue province, Vietnam, using the Landsat Thematic Mapper and Operational Land Imager satellite images over the period 1989–2021. Imageries were classified using the maximum likelihood classification technique for the years 1989, 2006, and 2021 and were evaluated for accuracy using the kappa coefficient for each year. Furthermore, forest cover losses and gains were evaluated using the Normalized Difference Vegetation Index and Soil Adjusted Vegetation Index, which were compared with the output of the supervised classification. Results showed that the forest cover of Thua Thien Hue province has drastically declined over the years. The forest cover, which was estimated at 68.88% (3461.46 km2) of the total land area in 1989, increased to 69.04% (3469.51 km2) in 2006 and subsequently decreased to 57.55% (2891.81 km2) in 2021. Severely reduced forest cover is often associated with the expansion of agriculture on the forest edge; other contributing factors include logging, illegal production land, and forest fires. Overall, our results show the necessity of forest management, rational land-use planning policy, and increased community awareness of conservation and sustainable development of forest resources in the study area in the future.
Tuning spatial parameters of Geographical Random Forest: the case of agricultural drought
Authors: Bicák Daniel
Published: October 2023

Machine learning algorithms are widely used methods in geographical research. However, these algorithms are not properly exploiting the underlying spatial relationships present in the geographical data. One of the approaches, which addresses this problem, is based on an ensemble of local models, which are constructed from samples in close proximity to the location of prediction. This concept was applied to the Random Forest (RF) algorithm, creating a Geographical Random Forest (GRF). This study aims to further develop GRF by tuning the spatial parameters for each location in case of agricultural drought. In addition to tuning, the explanatory property of RF within the framework GRF is explored. Four machine learning models were constructed; regular RF, regular RF with spatial covariates, GRF, and GRF with the tuning of spatial parameters. Models were evaluated using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Although the decrease in RMSE in this very case is relatively small, the method may provide higher improvement with different datasets.
Genetic literacy and experiential knowledge on sickle cell disease among Canadian- and foreign-born male and female Anglophone and Francophone youth in Canada
Authors: Zanchetta Margareth Santos , Sarpong Anita , Osei-Boateng Juliet , Nazzal Alessar , Teixeira Maria , Lainé Agnès , Rémy-Thélusma Marlene
Published: October 2023

Objectives

Growing global human mobility raises concerns about impacts on global health, particularly on the prevalence of sickle cell disease. This research unveiled the level of genetic literacy on sickle cell disease of male and female Anglophone and Francophone youth living in Canada. The research responded to questions about whether the type of information about the disease has been more prevalent among the youth’s family, friends, acquaintances and school circles, and the influence of such information on shaping the current youth level of genetic literacy on the disease.

Methods

An online survey hosted by a Canadian university (2019/2020) platform was conducted with youth (n=87, aged 16–29) recruited in their natural, social environments in seven Canadian provinces. Data analysis used descriptive statistics and manual qualitative content analysis.

Results

Youth, mostly Canadian-born, 71.42 % Francophones and 67.12 % Anglophones, descend from parents who had been born in countries at risk for the disease. Results indicated that experiential knowledge is due to the familiarity with the disease occurrence among family members and acquaintances. Participants did not comment about how academic-gained knowledge could influence their own decision on becoming a parent.

Conclusions

Independently of their country of birth, Canadian youth seem to have unmet information needs: a complex challenge requiring creativity and simplicity to deliver information through attractive media.
Assessment of commonly used tests in experimental depression studies according to behavioral patterns of rodents
Authors: Sahin Zafer
Published: October 2023

Considering the main factor that causes or triggers depression in humans is stress. Several stress factors are applied to form depression-like symptoms in rodents. Depression tests are used to analyze the nature and patterns of depression. Well-founded modeling and versatile evaluation of tests are necessary to investigate a hypothesis that is related to depression. It is impossible to model or test all aspects of depression in humans by using experimental animals. As a result, the aims of the study should be determined specifically in depression models. The correct interpretation of the tests that are suitable for these aims is indispensable for the reliability of the data. To achieve this goal, the biological basis of the depression-related behaviors of animals should be well known. In this review, model and test concepts related to depression are discussed and behavioral patterns of rodents are explained with several examples.
Introducing a New Dataset: Age Representation in Parliaments on the Party-Level
Authors: Kurz Kira Renée , Ettensperger Felix
Published: October 2023

This research note highlights the underrepresentation of younger people in parliaments across the globe, which has been a persistent issue for decades. We introduce a novel open-access dataset containing information on mean and median age as well as the share of MPs in specific age brackets in party parliamentary groups in lower houses or single chambers of national parliaments. The dataset covers 163 cases from 30 countries and features variables that present these aforementioned shares in relation to the respective group’s presence in the voting-age population (Age Representation Index). Furthermore, the dataset includes the share of women within the party parliamentary groups as well as identifiers that enable matching the dataset with indicators from the Political Party Database (PPDB), the V-Party dataset, PartyFacts and the Manifesto Project Database. Our main finding underlines the importance of research focusing on party level factors influencing youth representation as there is not only variation between countries, but also within them on the party-level. Additionally, we show that most party parliamentary groups in which women are underrepresented also have low relative shares of young people, which is in line with theoretical arguments on party behavior.
Strategies Promoting Dialogic Talk during Cooperative Learning
Authors: Gillies Robyn M.
Published: October 2023

The role of talk in the construction of knowledge and learning has gathered interest in recent years as studies have been published that demonstrate the importance of social interaction in promoting cognitive development and academic learning. While there is a large volume of research that attests to the benefits that students derive when they work cooperatively together, it is only in the last 30 years that studies have been published that demonstrate how students learn by interacting with others and how teachers can utilise this information to create classroom experiences to ensure these benefits are realised. This article discusses the role of dialogic talk during cooperative learning and its capacity to promote students’ thinking and learning. The article provides insights into how one teacher used dialogic talk in her classroom to promote student interactions, thinking and learning. It also provides an example of how students in one small group listened to each other, asked questions, sought clarifications, and provided reasons and justifications for their suggestions as they considered the perspectives of others on how to construct an earthquake proof building.
Contemporary Global Perspectives on Cooperative Learning – Personal Reflections
Authors: Sharan Yael
Published: October 2023

Contemporary Global Perspectives on Cooperative Learning – Personal Reflections

Gilies, R. M., Millis, B. & Davidson, N. (2023). Contemporary Global Perspectives on Cooperative Learning. Application Across Educational Contexts. Routledge.
Another Milestone for the Future of Education – A Summary of a Half-Century
Authors: Arató Ferenc
Published: October 2023

Another Milestone for the Future of Education – A Summary of a Half-Century

Davidson, N. (Ed.) (2021). Pioneering Perspectives in Cooperative Learning - Theory, Research, and Classroom Practice for Diverse Approach to CL. Routledge.
“Hurray for Reflection!” – A Handbook for Connecting Reflective Practice and Cooperative Learning
Authors: Olah Katalin
Published: October 2023

“Hurray for Reflection!” – A Handbook for Connecting Reflective Practice and Cooperative Learning

Jacobs, M. G., Lie, A. & Tama, S. M. (2022). Cooperative learning through a cooperative lens. Bristol CT: Equinox Publishing.
Development of an Attitude Scale on Activities Related to Biology and Nature for Mentally Disabled Students
Authors: Gul Seyda , Kose Esra Ozay , Ozdemir Banuçiçek
Published: October 2023

The aim of this study is to develop a valid and reliable scale to determine the attitudes towards the activities that can be applied to the mentally retarded students about biology and nature. During the preparation of the draft form of the scale, an item pool was created from relevant literature. Then, these items were presented to expert opinion in terms of language, intelligibility and content. This draft scale with 30 items in 5-point Likert type was applied to 177 pre-service teachers studying in the special education department of the faculty of education at a state university. Item analysis, exploratory factor analysis and confirmatory factor analysis were performed for the data collected after the application. As a result of the analyses, it was revealed that the scale had a five-factor structure consisting of 20 items. Confirmatory factor analysis revealed that the factor structure was compatible with the data. Goodness of fit index values was sufficient. The Cronbach Alpha internal consistency coefficient of the scale was calculated as 0.89. It can be said that the scale is valid and reliable in determining the views of pre-service teachers about the activities to be applied for mentally retarded students. In addition, the scale is suitable not only for teacher candidates, but also for use by teachers and researchers. In addition, different types of samples such as students in other fields at the undergraduate level and special education teachers who take courses related to special education can be included in the study group.
La elaboración de pegamento de mediante el uso de corteza de abedul
Authors: Merino González Jesús Adrián
Published: October 2023

El presente artículo surge de la elaboración del proyecto de final de asignatura de Arqueología Experimental en la Universidad Autónoma de Madrid. El objetivo de este trabajo era la elaboración de pegamento de corteza de abedul, el cual ha sido asociado con el Neandertal y es la expresión más antigua de adhesivos primitivos. A través de una serie de experiencias se quiso abordar como era el proceso de elaboración de dicho adhesivo, su recolección y las dificultades que podrían surgir a la hora de procesarlo u obtenerlo.
Tendencias en las Calificaciones de la Evaluación Docente en las Residencias Médicas: Un Estudio Longitudinal de Ocho Años
Authors: Hamui-Sutton Liz , Fuentes Ruth , Rodríguez Sergio Enrique
Published: October 2023

El propósito del estudio fue describir las trayectorias de los promedios de las calificaciones obtenidas por los profesores evaluados por los residentes en un período de ocho años. Se analizó evidencia estadística que demuestra la tendencia de un efecto positivo de dicha evaluación. De 2.751 profesores, 1.031 impartieron curso en tres o más ciclos anuales. El promedio se obtuvo del cuestionario de evaluación docente en opinión de los residentes. Para explorar la posibilidad de agrupamiento con patrones de trayectoria similar, se utilizaron modelos de crecimiento mixto (GMM) con clases latentes tomando en cuenta criterios basados en verosimilitud (AIC, BIC) y entropía. Los promedios fueron en ascenso, excepto por el ciclo 2019-2020 donde se aprecia una tendencia a la baja que se recupera en años subsecuentes. El modelo de crecimiento mixto encontró dos clases latentes, una con tendencia creciente, 89 % de profesores, y otra decreciente del 11 % restante. Los promedios disminuyeron para las mujeres y aumentaron para profesores titulares. Los resultados estadísticos sugieren que la evaluación docente puede tener efectos positivos a través del tiempo, pues el puntaje otorgado por los residentes al evaluar a sus profesores tiende a incrementarse.
Reducing particulates and gaseous emissions through fuel switching from coal to wood pellets at power plants in South Korea during 2005 to 2022
Authors: Lee Seung-Rok , Kang Sae Byul , Han Gyu-Seong
Published: October 2023

This study analyzed the particulates and gaseous emissions from 2005 to 2022 for power plants in South Korea (Utility scale: 125 MW (B-1) and 200 MW (B-2), respectively), which recently successfully converted from coal to wood pellets. The analysis showed that (1) NOx reduction was 78.9 to 90.0% (with outlet denitrification facility), (2) SOx reduction was 95.0 to 99.6% (without desulfurization facility condition), and (3) total suspended particles (TSP) reduction was 70.3 to 87.2% (with improved filtration and dust collection facility). This research confirmed the capabilities of wood pellets as a baseload power source and demonstrated their superior NOx reduction compared to coal. In the case of SOx, the desulfurization facility was discontinued at the stage of the fuel switch, so the value was affected by exogenous variable factors other than fuel. The TSP appears to be a combination of the ‘fine dust’ contained in the wood pellets and the performance of the filtration dust collector. The results suggest that fuel switching to wood pellets is a viable alternative to fossil fuels as an appropriate climate technology.
Social Support as a Moderator of Self Efficacy and Learning Motivation Towards Students' Academic Hardiness
Authors: Mukhtar Risyda Azizah , Suralaga Fadhilah , Yundianto Devie
Published: October 2023

This research examined the factors that influence academic hardiness in tahfiz lessons. The author suspects that the factors contained in the social support variable are moderator variables for the variables self-efficacy, learning motivation, and gender which influence academic hardiness. This research uses a quantitative approach with multiple regression analysis. The sample consisted of 150 students in class 5 and class 6 of Islamic school X who were taken using a purposive sampling technique. In this research, the measuring tool used is the revised academic hardiness scale (RAHS) to measure the academic hardiness variable. Multi-Dimensional Scale of social support (Zimmet et al., 1988) to measure social support variables. The self-efficacy scale will be measured based on Bandura's theory to measure the dimensions of magnitude, generality, and strength. Learning motivation is measured using intrinsic and extrinsic aspects (Woolfolk, 1995). The research results show three significant regression coefficients: self-efficacy, intrinsic learning motivation, and gender. All three are influenced by social support, increasing students' academic hardiness. The author hopes that the implications of the results of this research can be reviewed and developed in further research. For example, adding other variables related to academic hardiness, such as parental and learning styles.
The Effect of Parasocial Relationship on Online Impulsive Buying Tendency: Exploring the Role of Financial Literacy and Self-Control
Authors: Sheruly Ivana , Koentary Andi Supandi Suaid
Published: October 2023

Impulsive buying behavior has increased alongside the growth of digital transactions and technological advancements that simplify purchasing. Psychological studies have scientifically demonstrated that e-commerce website design and enjoyable online shopping experiences can trigger positive emotions that drive impulsive buying behavior, especially in women where self-esteem and body image have been proven to be contributing factors. The urgency to examine this issue has been amplified by the COVID-19 pandemic, which has been found to stimulate impulsive buying. With self-control and financial literacy as moderating factors, researchers are focusing on the phenomenon of impulsive buying among women in their early adulthood, as this age group is considered the most vulnerable to impulsive buying behavior. Researchers aim to investigate how self-control and financial literacy might mitigate the influence of parasocial relationships on impulse buying tendencies, with the ultimate goal of preventing individuals in early adulthood from getting trapped in the cycle of impulsive buying and its long-term ripple effects. Participants in this study are 195 women aged 18 to 25 who have a favorite celebrity figure and had purchased beauty products in the previous two months. According to the findings of simple regression analysis, parasocial relationships affect impulsive purchasing tendencies (F(1.191) = 12.100, p < .05,  = .059,  = .054). It was also discovered that self-control has a moderating role on the influence of parasocial relationships toward impulse buying tendencies (R =.4172, F(1.191) = 13.4189, p < .05), but financial literacy has no moderating role.
Academic Self-Efficacy as a Predictor of College Student’s Mental Health and Study Progress
Authors: Muchtar Desi Yustari , Wahyuni Zulfa Indira , Murniasih Farhanah , Rasaki Amora Fatha
Published: October 2023

Mental health issues influenced college student's inner aspects, either emotionally, cognitively, physically, socially, and also their academic achievement. The ideal study period for college students is four years, but in fact, not all college students fulfill it. Academic self-efficacy had an essential role in determining mental health and study progress. The objective of this study was to measure the influence of academic self-efficacy on mental health and study progress. Three questionnaires The Mental Health Continuum-Short Form Scale and Academic Self Efficacy Scale were responded by 500 college students of UIN Syarif Hidayatullah Jakarta. The collected data was analyzed using the Multivariate Regression Analysis technique. The result found that academic self-efficacy had a positive influence on mental health and study progress significantly. Multivariate regression analysis technique uses SPSS and MPlus, where the dependent variable is more than one, namely study progress, a categorical variable with two categories (1 appropriate and 0 late) and the mental health variable is a continuum variable. The study found a significant positive impact of academic self-efficacy to study progress and mental health of college students of UIN Syarif Hidayatullah Jakarta. Academic self-efficacy had a .137 significance parameter to study progress and a .520 significance parameter to mental health. This result indicated that the higher academic self-efficacy level of college students would impact to the highest of their mental health and better study progress.
CPT 2024: Revisions to Guidelines for Split or Shared Visits
Authors:   American Academy of Pediatrics
Published: October 2023

Current Procedural Terminology (CPT®) 2024 brings new guidelines for split or shared visits, including the combined work of a team of physicians and other qualified health care professionals (QHPs) providing portions of a single evaluation and management (E/M) service.

This article addresses the following:

Defining split or shared visits Split or shared visits versus incident-to services Determining who reports a split or shared visit
Validating the Prognostic Utility of the ABCD-GENE Score in Asian Patients with Acute Coronary Syndrome Patients on Clopidogrel
Authors: Tan Cheng Keat , Wu David Bin-Chia , Tan Seh Yi Joseph , Imran Syed Saqib , Wee Xue Ting , Tan Su-Yin Doreen
Published: October 2023

Background: The ABCD-GENE score, which links cytochrome P450 2C19 (CYP2C19) phenotype and high platelet reactivity (HPR) to the risk of major adverse cardiovascular events (MACE) in clopidogrel users, has been validated in white and Japanese populations. The prognostic implications of the score in other Asian cohorts, however, have been largely unchartered. The aim of this study was to validate the prognostic utility of the ABCD-GENE score in a heterogeneous Asian acute coronary syndrome (ACS) cohort. Methods and Results: In this single-centre, retrospective cohort evaluation of 423 ACS patients, the objectives were to characterise the best cut-off score for MACE prognostication by comparing the adjusted 1-year risk of MACE between groups above and below the candidate cut-off scores using Cox regression; and for on-clopidogrel HPR prediction using receiver operating characteristic (ROC) analysis and Youden’s index. In the adjusted Cox model, an ABCD-GENE score cut-off at 10 points significantly predicts the 1-year risk of MACE (adjusted HR 3.771; 95% CI [1.041–13.661]). Female sex, baseline LDL, history of ACS and angiotensin receptor blocker use were additional independent predictors of MACE. On ROC analysis the ideal cut-off for HPR prediction was 7 points. However, that did not independently predict the 1-year risk of MACE (adjusted HR 1.595; 95% CI [0.425–5.989]). Conclusion: The original ABCD-GENE score 10-point cut-off moderately predicts MACE in a heterogeneous, Asian ACS population at 1 year. Additional predictors of MACE were also identified in the present cohort, and these findings should be prospectively validated in larger ACS cohorts.
Produção do GT 20 Psicologia da Educação da ANPEd
Authors: Guimarães de Faria Gina Glaydes , Schlindwein Luciane Maria , Pinto de Moura Librandi da Rocha Maria Silvia , Barroco Sonia Mari Shima
Published: October 2023

Este trabalho resulta da análise de 79 trabalhos apresentados no GT 20 – Psicologia da Educação, em reuniões anuais da ANPEd, de 2013 a 2021. Compreende-se que as comunicações apresentadas expressam a produção acadêmica sobre a Psicologia da Educação como campo de estudos e disciplina de fundamentos da educação. O objetivo do estudo é identifi car o que o GT investiga, como o faz, os resultados alcançados e suas implicações e desdobramentos e as bases teóricas que o subsidiam. Os trabalhos foram analisados a partir da leitura dos títulos, autoria, fi liação institucional, palavras-chave, objetivos, metodologia, referencial teórico, resultados e referências. As análises indicam: a) críticas a teorias da Psicologia; b) contribuições de teorias críticas para subsidiar a formação e a atuação docente; c) concepções de aprendizagem e desenvolvimento; d) matrizes teóricas e o enfrentamento de problemáticas atuais; e) desenvolvimento de estudos teóricos e de pesquisa de campo/aplicada (especialmente na escola); f) integração de diferentes campos do conhecimento para composição do corpus teórico e metodológico da psicologia da educação; g) educação inclusiva em enfrentamento às desigualdades; h) atenção ao sofrimento individual (de professores e alunos) e i) processos de escolarização. Conclui-se sobre a importância deste GT como espaço agregador e de expressão dos direcionamentos da ciência/academia, sua relevância para a educação (em seus dois níveis, suas etapas e modalidades) e para a sociedade em geral, e, sobretudo, que a psicologia da educação se constitui em campo exponencial para a compreensão e análise de problemáticas educacionais.
Using Process Mining to Leverage the Development of a Family of Mobile Applications
Authors: Rezunik Lyudmila Alexandrovna , Perevoznikova Alisa Igorevna , Eremina Daria Valerievna , Mitsyuk Alexey Alexandrovich
Published: October 2023

Enterprises often provide their services via a family of applications based on various platforms. Applications in such a family can behave differently. Their development processes can differ as well. Moreover, modern development processes are often complex and sometimes vague. This can lead to bugs, defects, and unwanted discrepancies in applications. In this paper, we show that process mining can be applied to leverage the development in such a case. Real-life models can be discovered and investigated by the developer teams in order to reveal differences in application behaviour, find bugs, and highlight inefficiencies. We consider datasets with event data of two types. Firstly, we analyse event logs of Android and iOS applications of the same product family. Secondly, we consider event data from working repositories of these applications. We show how by analysing such datasets, the real-life development process can be discovered. Besides, application event logs can help to find more and less severe bugs and unwanted behaviour.
Deployment Approaches in Distributed Complex Event Processing
Authors: Zorin Arsenij Andreevich , Chernetskaya Irina Evgenyevna
Published: October 2023

Big Data technologies have traditionally focused on processing human-generated data, while neglecting the vast amounts of data generated by Machine-to-Machine (M2M) interactions and Internet-of-Things (IoT) platforms. These interactions generate real-time data streams that are highly structured, often in the form of a series of event occurrences. In this paper, we aim to provide a comprehensive overview of the main research issues in Complex Event Processing (CEP) techniques, with a special focus on optimizing the distribution of event handlers between working nodes. We introduce and compare different deployment strategies for CEP event handlers. These strategies define how the event handlers are distributed over different working nodes. In this paper we consider the distributed approach, because it ensures, that the event handlers are scalable, fault-tolerant, and can handle large volumes of data.
Alias Analysis and Calculus based on Segmentation Address Memory Model
Authors: Parfenov Igor Andreevich
Published: October 2023

We present a straightforward implementation of a simplified imperative programming language with direct memory access and address arithmetic, and a simple static analyzer for memory leaks. Our study continues a line of research attempted (in Innopolis University in years 2016-2022) on alias calculi for imperative programming languages with decidable pointer arithmetic but differs by memory address model – we study segmented memory model instead linear one.
Carbon nanotube neurotransistors with ambipolar memory and learning functions
Authors: Yildirim Ertürk Enver , Panes-Ruiz Luis Antonio , Yemulwar Pratyaksh , Cihan Ebru , Ibarlucea Bergoi , Cuniberti Gianaurelio
Published: October 2023

In recent years, neuromorphic computing has gained attention as a promising approach to enhance computing efficiency. Among existing approaches, neurotransistors have emerged as a particularly promising option as they accurately represent neuron structure, integrating the plasticity of synapses along with that of the neuronal membrane. An ambipolar character could offer designers more flexibility in customizing the charge flow to construct circuits of higher complexity. We propose a novel design for an ambipolar neuromorphic transistor, utilizing carbon nanotubes as the semiconducting channel and an ion-doped sol–gel as the polarizable gate dielectric. Due to its tunability and high dielectric constant, the sol–gel effectively modulates the conductivity of nanotubes, leading to efficient and controllable short-term potentiation and depression. Experimental results indicate that the proposed design achieves reliable and tunable synaptic responses with low power consumption. Our findings suggest that the method can potentially provide an efficient solution for realizing more adaptable cognitive computing systems.

Impact statement

The huge amount of data generated by the current society makes it necessary to explore new computing methods with higher efficiency to overcome the bottleneck formed between data storage and processing tasks. Neuromorphic computing aims at emulating the functioning of our brain, which performs both tasks utilizing the same hardware. Here, we propose ambipolar field-effect transistors based on carbon nanotubes with a polarizable gate dielectric, capable of providing memory functions reminiscent of neuronal synapses, at both polarities of the device. The ambipolar characteristic doubles the possibilities of previously demonstrated neurotransistors. The short-term and ambipolar behavior of the device can find its place in novel applications in the future. Machine learning-enabled gas sensing is an excellent example, where real-time processing of large amounts of data is beneficial. In addition, interaction with oxidative and reductive gases will result in dual responses due to the ambipolarity of the transistor, along with the possibility of storing the sensing data.

Graphical abstract
La «revolución silenciosa» en el estudio de san Agustín
Authors: Vial-de-Amesti Catalina
Published: October 2023

En los últimos decenios asistimos a una revitalización del pensamiento agustiniano que se caracteriza por la recuperación del fundamento cristológico, soteriológico y eclesiológico como centro unificador del recorrido existencial, pastoral e intelectual de san Agustín. Los autores protagonistas de esta “quiet revolution” o “revolución silenciosa” dan especial importancia al desarrollo histórico de la doctrina de Agustín. No niegan que en su pensamiento se ha dado una evolución, pero tienden a considerarla de modo más matizado que otros autores. En el artículo se describirá en qué consiste este proceso desde el punto de vista de la teología trinitaria y la teología de la gracia.
La «Escuela de Lovaina» en la psicología española: semblanza y contribuciones básicas de Juan Zaragüeta Bengoechea
Authors: García-Alandete Joaquín
Published: October 2023

A finales del siglo XIX, el cardenal Mercier fundó en Lovaina el Instituto Superior de Filosofía (ISF), centro académico que pretende armonizar la doctrina tomista con la ciencia y la filosofía modernas. El sacerdote vasco Juan Zaragüeta Bengoechea se formó en el ISF y ocupó un destacado lugar en la vida académica española durante la primera mitad del siglo XX, realizando importantes contribuciones a la filosofía, la pedagogía, la psicología y la cultura española en general. En este trabajo se expone una semblanza de Zaragüeta y se exponen brevemente algunas claves de su concepción de la psicología.
José Manuel FIDALGO, Antropología. Para entender al ser humano, Pamplona: EUNSA, 2023, 132 pp., 17 x 24, ISBN 978-84-313-3870-1.
Authors: Caballero Juan-Luis
Published: October 2023

Book Review
JUSTIFICATION OF THE RIPENING PARAMETERS OF CAMAMBER CHEESE PRODUCED USING MODERN DAIRY INGREDIENTS
Authors: Chaharovskyi O. , Tkachenko N. , Didukh E. , Anichin V.
Published: October 2023

The article provides an analysis of the volume and structure of cheese imports into Ukraine, as well as the results of a survey of respondents in Ukraine who consume cheese. On the basis of the conducted analysis, the feasibility and relevance of developing the technology of soft Camembert cheese from the milk of cows kept in Ukrainian farms with the use of modern dairy ingredients, as well as the introduction of the developed technology into production in Ukraine for sale on the domestic consumer market, are shown. Based on the analysis of the state of raw materials at the Prykarpattia Dairy Farm of MUKKO LLC – one of the representatives of craft cheese production in Ukraine – the expediency of processing cow's milk, which the company will have in the short term, into soft Camembert cheese, is shown. Analysis of the chemical composition and quality indicators of the milk of Holstein and Ukrainian black and white dairy cows kept at the Prykarpattia dairy farm of MUKKO LLC indicates the feasibility of processing the milk of Holstein cows into soft Camembert cheese, and the milk of Ukrainian black and white cows dairy breed - for hard cheeses. The ripening process of soft Camembert cheese, produced from the milk of Holstein cows at the Prykarpattia Dairy Farm of MUKKO LLC, with the use of modern dairy ingredients - leavening compositions of mesophilic lactic acid bacteria and Penicillium сandidum molds directly applied, and liquid milk-producing enzyme (100 percent chymosin) – carried out according to two step modes. The first batch of soft Camembert cheese was ripened according to mode 1: the first ripening chamber – temperature 11–12ºС; relative air humidity 85–90%; duration 10 days; the second ripening chamber (in laminated foil) – temperature 6–7ºС; relative air humidity 70–75%; duration of 2–3 days. The second batch of soft Camembert cheese was ripened according to mode 2: the first ripening chamber – temperature 11–12ºС; relative air humidity 85–90%; duration 17 days; the second ripening chamber (in laminated foil) – temperature 6–7ºС; relative air humidity 70–75%; duration of 3–4 days. In samples of soft Camembert cheeses, quality indicators were determined after ripening. According to the results of the conducted research, the ripening parameters of soft Camembert cheese are recommended.
Notes by G. G. Karpov on the trip of Patriarch Alexy I (Simansky) to the Middle East in May-June 1945
Authors: Beglov A. L.
Published: October 2023

The publication introduces documents from the internal records of the Council for the Affairs of the Russian Orthodox Church related to the preparation and implementation of the visit of the delegation of the Russian Church headed by Patriarch Alexy I (Simansky) of Moscow and All Russia to the Middle East and Egypt in May-June 1945. One of the published documents is the notes of the Chairman of the Council G. G. Karpov on the preparation and progress of the visit. In fact, it is a diary of the trip, which reflects previously unknown episodes. Another document contains translations of all foreign press notes on the visit, which were provided to the Council by TASS. What attracts particular attention in these documents is the resonance that the visit had in the Middle East, as well as the way in which church and political figures interpreted the prospects for the Moscow Patriarchate’s international activity, in particular its possible claim to be the Centre of universal Orthodoxy. The documents are published for the first time.
Dry granular flow in a vane shear cell: flow characteristics and rheological laws
Authors: Kamali Zarch Mohsen , Zhang Limin , Haeri S. Mohsen , Xu Zhengdan
Published: October 2023

The flow dynamics of dry granular flows is significantly affected by a prominent feature of a granular mass known as dilatancy. Although their rheological behaviour has been characterised by way of friction and dynamic dilatancy laws, the role of dilatancy in a granular flow has not been much appreciated. In this study, using a vane rheometer, an experimental investigation was conducted on uniform glass beads of d = 3 mm at different initial relative densities (15 ≤ Dr ≤ 66%) and shear rates that spanned over four orders of magnitude. The flow characteristics in terms of effective friction, volume change and velocity field were obtained and evaluated. The effective friction shows a descending–ascending pattern corresponding to a transitional behaviour from a velocity-weakening solid-like behaviour to a velocity-strengthening liquid-like behaviour. The volume-change measurements show that all specimens dilate and reach almost the same density at each shear rate. The velocity field follows a Gaussian pattern characterised by the slipping velocity at the boundary, the interlayer slippage between particles and the interlayer disorder of the particles. A new non-monotonic friction law and a dynamic dilatancy law are presented as governing rheological laws based on the inertial number and by introducing an effective dilation coefficient. This effective dilation coefficient successfully captures the role of dilation-induced secondary vortex flows in the dry granular flows.
Influence of forming directions on surface quality of 316L produced by selective laser melting additive manufacturing
Authors: Li Qiang , Liu Songyong , Wang Qingyang , Wang Yan
Published: October 2023

Different forming directions have significant impact on surface quality in additive manufacturing. This study is aimed at exploring how different forming directions influence surface quality in additive manufacturing (AM). First, experiments were designed to prepare 316L stainless steel by selective laser melting additive manufacturing (SLAAM) in different forming directions. Moreover, the surfaces of samples manufactured by AM were tested using a three-dimensional (3D) surface profiler and a scanning electron microscope. Furthermore, the surface quality was characterized using four parameters, maximum height, S z ; maximum valley depth, S v; standard deviation of height, S q ; and arithmetic average height, S a. The following results were obtained: (a) different forming directions corresponded closely to upper surface roughness S a values, the values of S a being 7.16 and 8.20 μm, respectively. S a was the smallest among the four parameters; it showed good stability and statistical significance. (b) In the same forming direction, the upper surface roughness values followed the order S z > S v > S q > S a. S z was the largest, exceeding 800 μm; the average value S a was the smallest, reaching 7.36 μm. The values of S q , S z and S v vary when the forming direction changed. Specifically, all of them increased when the forming direction changed from a vertical direction to planar and lateral directions in turn. (c) In different forming directions, the values of S z , S v, S q and S a varied on different surfaces but their variations were basically similar. Meanwhile, the S z , S v, S q and S a values of the free surfaces were at least ten times greater than those of the printed surface. In the SLAAM process, it was necessary to select a forming direction reasonably for parts with different dimensional parameters on each side.
Post-soviet Russian governments members: Historical dynamics of employment after resignation (from B. N. Yeltsin to V. V. Putin)
Authors:   Sociological Institute of the RAS – Branch of the Federal Center of Theoretical and Applied Sociology of the RAS, Tev Denis B.
Published: October 2023

Introduction: the dynamics of a post-government career is a significant subject of research, since its analysis allows us to clarify the nature of the relationship between the government and other power institutions, to better understand the behavior of its members, to assess the stability of elite membership and the degree of elite integration in different periods. Objectives: to identify similarities and differences in the post-career of the Russian governments’ members retired under President Yeltsin and in the post-Yeltsin period, and the factors that determine such similarities and differences. Methods: a database (collected data being further statistically processed) that includes biographical questionnaires on members of post-Soviet cabinets who had resigned at least once. Results: a comparative analysis of the post-government career has showed that in post-Yeltsin period the role of federal administrative bodies, primarily the Presidential Executive Office, as a place of work has increased. On the contrary, transitions to the federal parliament have decreased, due to the its weakening role, which reduced the attractiveness of legislative positions and manifested itself, in particular, in a decrease in its significance as a channel of ministerial recruitment. Transitions to regional administrations are rare in both periods, but in the post-Yeltsin era, government members more often became governors, due to centralization of power. Finally, the share of transitions from government to business is similar in both periods, as well as some other characteristics of pantouflage. However, while under Yeltsin the officials moving into business most often ended up in the private sector, later they mostly fit into to the public sector. In both periods, pantouflage was fueled by high incomes in business and the companies’ interest to hiring officials, reinforced by the crony capitalism. Conclusions: the post-government career in the Yeltsin and post-Yeltsin periods demonstrates significant differences associated with changes in the political and economic structure of Russia affecting the attractiveness and availability of positions in various power institutions.