bluuebunny/crossref_metadata_2025 huggingface dataset:
[Traducción al español] Funciones cognitivas y su relación con el equilibrio y la agilidad en atletas de diferentes ramas deportivas
Authors: Özen Oruk Dilara , Bayar Kılıçhan , Saygın Özcan , Bayar Banu
Published: November 2024

El rendimiento exitoso en cada deporte requiere una alta capacidad en diversas características, incluidas las habilidades motrices y perceptivo-cognitivas. Este estudio tuvo como objetivo comparar el equilibrio y la agilidad en atletas de varias ramas deportivas, para descubrir cómo se relacionan las funciones cognitivas con estos parámetros. En este estudio prospectivo-descriptivo, se incluyeron 73 individuos con edades comprendidas entre los 18 y los 30 años. En la evaluación de la cognición se utilizaron la Escala de Evaluación Cognitiva de Montreal, la Prueba d2 de Atención y un Dispositivo Temporizador de Anticipación de Bassin. Por su parte, el Prokin-TecnoBody se utilizó para medir las habilidades de equilibrio y el Test de Agilidad de Illinois (TAI) se utilizó para la agilidad. Los tiempos de TAI mostraron correlaciones débiles positivas tanto con la puntuación de error absoluto (EA) a 8mph (r = 0.260, p = .040) como con la puntuación de equilibrio mediolateral (ML [r = 0.255, p = .043]). Si bien hubo una correlación débil negativa entre EA a 3 mph y la puntuación anteroposterior del equilibrio (r = -0.267, p = .035), se encontró una correlación débil positiva entre EA a 8 mph y ML del equilibrio (r = 0.253, p = .046). Se encontró que los puntajes del TAI del grupo inactivo fueron significativamente más bajos que los de los atletas (p = .000). Según EA a 3 mph, había diferencias significativas entre los tenistas, por una parte, y los inactivos y los jugadores de voleibol, por otra (p = .008, p = .002, respectivamente). Cuando se comparó el EA a 8 mph, la única diferencia estadísticamente significativa fue entre tenistas e inactivos (p = .008). En conclusión, este estudio muestra cómo las funciones cognitivas, en particular el tiempo de anticipación de coincidencias, se correlacionan con factores esenciales del rendimiento físico como la agilidad y el equilibrio en diferentes ramas deportivas, lo que sugiere que, al mejorar las habilidades cognitivas, también lo haría el rendimiento atlético general e informar las estrategias de entrenamiento mental en los deportes. Se recomienda que las futuras investigaciones en ciencias del deporte se centren en mejorar el tiempo de anticipación de coincidencias mediante programas de entrenamiento específicos.
Poets as children. On works of the Slovak Trnava group and the Bulgarian ‘Poets of the city’
Authors: Dimova-Gencheva Irena
Published: November 2024

The aim of the proposed paper is to examine how the poetic text world embodies the idea of a return to the “naïve” perception of the world. The objects of the analysis are two groups of authors – representatives of 20th century Slovak and Bulgarian literature –, which are known in the history of their national literatures as Trnava group and “poets of the city.” The first poetic formation is made up of Ján Ondruš, Ján Stacho, Jozef Mihalkovič, and Ľubomír Feldek, known also as Concretists, the second one consists of Alexander Vutimski, Alexander Gerov, Ivan Peychev, and Valeri Petrov. While the Slovak authors manifested themselves as a poetic group by publishing three manifestos, one of which called We Will Talk about Children’s Literature, the Bulgarian authors were defined as poets of the city post factum by the Bulgarian critics.

The selection of these poetry formations is based on typological affinities between the two specific literary phenomena and the similarities in their national political and social contexts during their genesis. Three basic topics can be found in the works of the representatives of both Trnava group and poets of the city – objective imagery, the motif of childhood, and the image of the city. In the present paper, we focus mainly on the use of objective imagery in the process of returning to childhood, which some of the poets’ texts depict. We also look at one of the main themes in their works, which both literary groups inherit from their antecedents in their literatures – everydayness. In this light, the poets of the city are related to the poetry of the Bulgarian writer Atanas Dalchev, while the Slovak authors follow the path chosen by the Czech poetry group Květen and their concept of “poetry of every day.”

Through a close reading of selected works of the Slovak Trnava group and the Bulgarian “poets of the city”, we look at the process of engaging the senses in poetry. The main texts chosen for the analysis are

A Play for Your Blue Eyes written by Ľubomír Feldek and Tom Thumb by Valeri Petrov. Their poems are based on a return to childhood and sensual concreteness. We examine how the writers stylize the perceived world in opposition to the “ready-made” ideas the socialist realism offers. Both groups of authors choose a new aesthetic formula that roots in portraying the objective world. The topic is represented in light of Maurice Merleau-Ponty’s reflection on the literary use of language.
A tale of the unexpected: An abnormal left atrial mass
Authors: Zhou Can , Bosco Paolo , Perera Ranmith , Montarello Natalie , Rajani Ronak , Demetrescu Camelia
Published: November 2024

We present the case of a 64-year-old man who was incidentally found to have a left atrial mass in the vicinity of the left atrial appendage. Despite adequate anticoagulation for suspected thrombus for 6 months, the appearances of the mass remained unchanged. Surgical resection was recommended to reduce the risk of embolisation and to establish a histopathological diagnosis. Despite our initial suspicions of this being a myxoma the mass was ultimately confirmed to represent a rare papillary fibroelastoma occurring on the endocardial surface of the left atrium. The current report details the multimodality imaging of this phenomenon along with the diagnostic dilemma this unusual left atrial mass initially posed.
Nasal and temporal intraconal orbital fat densities differ on computerized tomographic scans of normal orbits
Authors: Baharav Shlezinger Einav , Greenberg Gahl , Sundar Gangadhara , Ben Simon Guy J. , Landau-Prat Daphna
Published: November 2024

Background and Aim

The anatomy and function of different areas within the intraconal fat remain poorly understood. A potential difference between nasal and temporal orbital fat densities in normal eyes may assist clinicians and radiologists in more accurately interpreting computerized tomographic (CT) scans and making more informed diagnostic and therapeutic decisions for patients with orbital pathologies.

Patients and Methods

Data from randomly selected patients who underwent orbital CT scans at Sheba Medical Center in 2022 were analyzed. Patients with abnormal imaging findings in either orbit were excluded. Intraconal orbital fat density was measured in six nasal and temporal sites by means of Hounsfield units (HU).

Results

The study included 54 patients (mean age 45.3 ± 25.5 years, 29 [54%] females) who were scanned for ophthalmologic etiologies unrelated to the orbit. Non-contrast-enhanced (NCE)-CT scans were available for 36 patients (67%), CE-CT scans for 31 patients (57%), and both CE and NCE scans for 13 patients. HU values were significantly higher in the nasal orbit compared to the temporal orbit on both NCE-CT (−75.8 ± 7.5 nasal vs. −78.1 ± 8.4 temporal, P < 0.001) and CE-CT (−72.7 ± 6.7 nasal vs. −74.6 ± 8.6 temporal, P = 0.02). Age, sex, and laterality had no effect on the HU values.

Conclusions

The density of nasal intraconal fat is higher compared to temporal intraconal fat, as observed on both CE and NCE-CT scans of normal eyes.

These results suggest the presence of anatomical differences between these compartments and could have significant clinical implications in the diagnosis of various orbital pathologies.
Rolnicza przestrzeń produkcyjna i bilans glebowej materii organicznej w województwie podkarpackim
Authors: Buczek Jan
Published: November 2024

W artykule przedstawiono ocenę potencjału środowiskowego rolniczej przestrzeni produkcyjnej oraz regionalnego zróżnicowania bilansu glebowej materii organicznej w latach 2019-2020, na tle warunków siedliskowych w województwie podkarpackim. Podkarpacie jest regionem o zmiennym potencjale warunków środowiskowych co wpływa na przestrzenne zróżnicowanie poziomu rozwoju rolnictwa i obszarów wiejskich. Największą zmiennością elementów środowiskowych charakteryzujących rolniczą przestrzeń produkcyjną odznaczała się rzeźba terenu. Mniejszą zmienność wykazywała jakość i przydatność rolnicza gleb i agroklimat, a najmniejszą warunki wodne. Bilans glebowej materii organicznej w województwie podkarpackim wykazał, że w 14 powiatach następowała degradacja glebowej materii organicznej w zakresie od -0,01 do -0,38 t∙ha-1 natomiast w pozostałych 7 powiatach stopień reprodukcji materii organicznej wynosił od 0,05 do 1,09 t∙ha-1. Intensyfikacja produkcji roślinnej sprzyjała mineralizacji glebowej substancji organicznej i występowaniu zdecydowanie ujemnego jej bilansu w 4 powiatach zlokalizowanych w środkowo-wschodniej części województwa podkarpackiego, gdzie w celu jego zrównoważenia niezbędne byłoby coroczne przyorywanie słomy w ilości od 1,29 do 1,81t∙ha-1.
Obecnie szerzej postrzega się rolniczą przestrzeń produkcyjną, która oprócz funkcji produkcyjnych pełni również funkcje krajobrazowe i ochronne, jako istotne dla rozwoju obszarów wiejskich. Dlatego też należy tak gospodarować rolniczą przestrzeń produkcyjną aby spowolnić degradację jej czynników środowiskowych.
Computational Technology for Shell Models of Magnetohydrodynamic Turbulence Constructing
Authors: Vodinchar Gleb , Feshchenko Lyubov
Published: November 2024

The paper discusses the computational technology for constructing one type of small-scale magnetohydrodynamic turbulence models – shell models. Any such model is a system of ordinary quadratic nonlinear differential equations with constant coefficients. Each phase variable is interpreted in absolute value as a measure of the intensity of one of the fields of the turbulent system in a certain range of spatial scales (scale shell). The equations of any shell model must have several quadratic invariants, which are analogues of conservation laws in ideal magnetohydrodynamics. The derivation of the model equations consists in obtaining such expressions for constant coefficients for which the predetermined quadratic expressions will indeed be invariants. Derivation of these expressions «manually» is quite cumbersome and the likelihood of errors in formula transformations is high. This is especially true for non-local models in which large-scale shells that are distant in size can interact. The novelty and originality of the work lie in the fact that the authors proposed a computational technology that allows one to automate the process of deriving equations for shell models. The technology was implemented using computer algebra methods, which made it possible to obtain parametric classes of models in which the invariance of given quadratic forms is carried out absolutely accurately – in formula form. The determination of the parameter values in the resulting parametric class of models is further carried out by agreement with the measures of the interaction of shells in the model with the probabilities of their interaction in a real physical system. The idea of the described technology and its implementation belong to the authors. Some of its elements were published by the authors earlier, but in this work, for the first time, its systematic description is given for models with complex phase variables and agreement of measures of interaction of shells with probabilities. There have been no similar works by other authors previously. The technology allows you to quickly and accurately generate equations for new non-local turbulence shell models and can be useful to researchers involved in modeling turbulent systems.
Efeitos renais do Peptídeo 1 Semelhante ao Glucagon (GLP1): das bases moleculares a uma perspectiva farmacofisiológica
Authors: Rico-Fontalvo Jorge , Reina Maricely , Soler María José , Unigarro-Palacios Mario , Castañeda-González Juan Pablo , Quintero Javier Jiménez , Raad-Sarabia María , Moraes Thyago Proença de , Daza-Arnedo Rodrigo
Published: November 2024

Resumo Os agonistas do receptor de GLP1 (GLP1-RAs) são medicamentos que imitam os efeitos do hormônio incretínico GLP1. Eles foram inicialmente introduzidos na medicina para o tratamento do diabetes em 2005 e para a obesidade em 2014. Com o passar do tempo, dados provenientes de objetivos secundários e exploratórios de amplos ensaios clínicos randomizados sugeriram que os GLP1-RAs também poderiam exercer ação renal ao retardar a progressão da doença renal em pacientes com e sem diabetes. Com base nesse raciocínio, o estudo Flow (semaglutida 1 mg vs. placebo) foi desenhado e o recrutamento começou em 2019, estendendo-se até maio de 2021. Os resultados publicados recentemente confirmaram o efeito da semaglutida na redução do desfecho renal composto. No entanto, assim como os inibidores do SGLT2, os mecanismos potenciais por trás dos efeitos renais dos GLP1-RAs ainda precisam ser elucidados. O objetivo desta revisão é abordar os diferentes mecanismos fisiológicos dos GLP1-RAs em nível renal, utilizando evidências de estudos experimentais e da literatura científica atual.
Enhancing Fairness in LLM Evaluations: Unveiling and Mitigating Biases in Standard-Answer-Based Evaluations
Authors: Jiao Tong , Zhang Jian , Xu Kui , Li Rui , Du Xi , Wang Shangqi , Song Zhenbo
Published: November 2024

Large Language Models (LLMs) are recognized for their effectiveness in comparing two answers. However, LLMs can still exhibit biases when comparing one answer to a standard answer, particularly in real-world scenarios like new employee orientations. This paper identifies positional and verbosity biases in LLM evaluators in such contexts. To mitigate these biases, we apply Chain of Thought prompting and Multi-Agent Debate strategies. Our research reveals that bias prevalence varies among different models, indicating the need for tailored approaches to ensure unbiased and constructive feedback.
Leveraging Tropical Algebra to Assess Trustworthy AI
Authors: Mattioli Juliette , Gonzalez Martin , Mattioli Lucas , Quintero Karla , Sohier Henri
Published: November 2024

Given the complexity of the application domain, the qualitative and quantifiable nature of the concepts involved, the wide heterogeneity and granularity of trustworthy attributes, and in some cases the non-comparability of the latter, assessing the trustworthiness of AI-based systems is a challenging process. In order to overcome these challenges, the Confiance.ai program proposes an innovative solution based on a Multi-Criteria Decision Aiding (MCDA) methodology. This approach involves several stages: framing trustworthiness as a set of well-defined attributes, exploring attributes to determine related Key Performance Indicators (KPI) or metrics, selecting evaluation protocols, and defining a method to aggregate multiple criteria to estimate an overall assessment of trust. This approach is illustrated by applying the RUM methodology (Robustness, Uncertainty, Monitoring) to ML context, while the focus on aggregation methods are based on Tropical Algebra.
Empowering Dementia Communication via Virtual Reality AI-Driven Simulations
Authors: Kim Sohyun , Fields Noelle , Roye Jennifer
Published: November 2024

The use of effective communication skills is essential for direct care workers to provide quality care for persons living with dementia (PLWD) in long-term service and support settings (LTSS). However, direct care workers often report feeling unprepared, lacking competence in care, and fear interacting with PLWD. This proof-of-concept study proposes Virtual reality Communication Training Optimizing Real-world Interactions (VICTORI) intervention, aiming to develop and evaluate the usability, acceptability, and preliminary effectiveness of virtual reality (VR) simulated communication training for direct care workers using artificial intelligence (AI)-generated patients with dementia. Care-related and social communication scenarios in dementia care will be developed, based on current literature, our validated communication instrument, and AI technology. Six modules consisting of pre-briefing, simulation facilitation, and de-briefing will be developed, refined, and evaluated based on an advisory board of experts and direct care workers’ quantitative and qualitative feedback.
To test the usability, acceptability, and effectiveness of the VICTORI intervention, we will use a single group pre- and post-test intervention design, integrating quantitative measures and qualitative semi-structured interviews in this mixed-methods study. Thirty direct care workers will be recruited at two LTSS in North Texas. Direct care workers will participate in six VR-AI simulation commu-nication training sessions that include communication with AI-generated patients, real-time feedback, and detailed evaluation of communication behaviors. Each simulation will be recorded to further evaluate the partici-pant’s communication skills using the Dyadic Communi-cation Observational coding scheme in Dementia care (DCODE). Additionally, participants' potential side effects during VR simulation will be assessed using continuous physiological data and self-reported questionnaires at each simulation session. Communication knowledge and com-petence in dementia care will be assessed before and after training using self-reported questionnaires. Direct care workers will also be interviewed to assess acceptability and satisfaction with the VICTORI training.
This proposal will introduce innovative training methods that leverage AI technology into communication training in dementia care. Objective assessments, including AI-based feedback, physiological data, and observational assessments, ensure the reliability and validity of the data to evaluate plausibility of VICTORI intervention.
Investigating the Fairness of Deep Learning Models in Breast Cancer Diagnosis Based on Race and Ethnicity
Authors: Huang Kuan , Wang Yingfeng , Xu Meng
Published: November 2024

Breast cancer is the leading cancer affecting women globally. Despite deep learning models making significant strides in diagnosing and treating this disease, ensuring fair outcomes across diverse populations presents a challenge, particularly when certain demographic groups are underrepresented in training datasets. Addressing the fairness of AI models across varied demographic backgrounds is crucial. This study analyzes demographic representation within the publicly accessible Emory Breast Imaging Dataset (EMBED), which includes de-identified mammography and clinical data. We spotlight the data disparities among racial and ethnic groups and assess the biases in mammography image classification models trained on this dataset, specifically ResNet-50 and Swin Transformer V2. Our evaluation of classification accuracies across these groups reveals significant variations in model performance, highlighting concerns regarding the fairness of AI diagnostic tools. This paper emphasizes the imperative need for fairness in AI and suggests directions for future research aimed at increasing the inclusiveness and dependability of these technologies in healthcare settings. Code is available at: https://github.com/kuanhuang0624/EMBEDFairModels.
Promoting Transparent and Consistent Frameworks for Interactive Digital Testimonies: A Case Study on Preserving Zilli Schmidt’s Story
Authors: Heindl Fabian , Kolb Daniel , Gloe Markus
Published: November 2024

Interactive Digital Testimonies (IDTs) combine digital archives of purpose-made recordings, conversational agents, and immersive display technology to preserve and recreate interactive conversations with contemporary witnesses in a lifelike manner. IDTs represent a specific subcategory of (Embodied) Conversational Agents (ECAs) due to the constraint of not including AI-generated or otherwise synthetic responses or actions. While numerous IDTs have been developed over the last few years, the descriptions of these systems and their respective evaluations frequently lack consistency and transparency, which has led to considerable heterogeneity and a lack of comparability.

To counteract these developments, we present the IDT of Holocaust survivor and member of the German-speaking Romani community Zilli Schmidt, which we developed since 2021. We transparently share both content-related and technical features of this IDT.
Towards Water Systems Security and Sustainability Using Deep Learning
Authors: Sreng Chhayly , Lin Justice , Ha Dong Sam , Ha Sook S. , Abbott A. Lynn , Batarseh Feras A.
Published: November 2024

Wastewater treatment plants (WWTPs) face significant challenges due to varying influent conditions, multiple operational constraints, and a constant lack of reliable datasets to manage and monitor water quality and flow using automated approaches. This paper introduces a novel framework showcasing soft sensors that are aimed at enhancing the sustainability and security of wastewater quality indicators using deep learning. We develop a trustworthy soft sensor that utilizes artificial intelligence (AI) approaches to provide nitrate NO3 predictions at the WWTP, as well as context-based evaluations to estimate overall predictive uncertainty. Contextual elements are injected into the model to allow for more accurate and relevant water quality monitoring, especially in different conditions (such as rain and snow). In addition, in this paper, we present a time-series Generative Adversarial Network (GAN), namely H2OGAN to address data scarcity and to improve model training by generating synthetic data that mirrors the statistical properties of water datasets from both controlled and real-world environments. Data in turn also train against data poisoning attacks on water supply systems, rendering these systems more secure. Our results indicate the potential uses of the integration of soft sensors and H2OGAN to significantly improve the operational efficiency of WWTPs by providing robust AI-driven tools for offering secure and sustainable water monitoring solutions.
A Quantitative Approach for Appraising Quality of Online Education
Authors:   Department of Electronics, Acharya Narendra Dev College, University of Delhi, New Delhi-110019, India., Kaur R. , Sharma R. ,   Department of Computer Science, Acharya Narendra Dev College, University of Delhi, New Delhi-110019, India., Jha A. A. ,   Department of Computer Science, Acharya Narendra Dev College, University of Delhi, New Delhi-110019, India., Gaur V. ,   Department of Computer Science, Acharya Narendra Dev College, University of Delhi, New Delhi-110019, India.
Published: November 2024

Abstract : Conventional approaches fall short of managing the current scale of data, underscoring the significance of big data analytics in the field of data science. The study highlights the importance of big data analytics in data science, focusing on sentiment analysis and developing a machine learning framework for identifying sentiments in product reviews and assessing Massive Open Online Courses (MOOCs). Online education proved its value to the academic community during the COVID-19 pandemic, when much of the world was at a standstill. Since the coronavirus outbreak, Massive Open Online Courses (MOOCs) have taken over many public schools and undergraduate degree programs as the new norm. Nowadays, online courses are being incorporated into traditional educational programs. Therefore, it has become crucial to develop a framework that both government and nongovernment organizations could use to assess public opinion before implementing online education programs. This article offers a methodology for utilizing deep learning and natural language processing techniques to examine public sentiments toward online education and courses such as MOOCs.Public reviews from Coursera and Udemy are utilized to assess the quality of online courses. Using sentiment analysis, the proposed methodology employs the Bidirectional Encoder Representations from Transformers (BERT) model to classify public reviews into positive and negative categories. Positive and negative reviews are clustered using the k-means algorithm to evaluate the quality of MOOCs. The study's findings indicate that MOOCs with qualified professors are beneficial for learning basic concepts. But they may lack advanced knowledge, real-world experience, and enough examples. These courses are lengthy, and students request more questions after lessons to comprehend the concept. The proposed framework assists in assessing public opinion before implementing online education and may provide valuable insight to the developers of the courses. Keywords : MOOC, BERT, K-means Algorithm, Clusters, Word Cloud.
An Investigation on the Lasting Impact of COVID-19 on Hope, Gratitude, and Forgiveness of College Students' Wellbeing
Authors:   Velammal College of Engineering & Technology, Madurai., Pushpalatha A. P. , Jeevakani G. Jeya ,   Thiagarajar College of Engineering, Madurai, Bojiah Janaki ,   Thiagarajar School of Management, Madurai
Published: November 2024

Abstract : With the COVID-19 widespread, the disruption of the normal routine of the people global wide was predominant. The restrictions abiding the control of the spread of the pandemic were effective in controlling the spread of the virus, but it has remained instrumental in the upheavals of negative emotions amidst the people even after the pandemic period. Most significantly, these protocols have impacted the college students socially and emotionally. To sustain the sense of happiness as well as fulfilment in life, hope, forgiveness, and gratitude are the significant contributors. This study investigated the impact of hope, forgiveness, and gratitude on the college students in the post pandemic era using the Hope Scale, the Gratitude Questionnaire, and the Heartland Forgiveness Scale to collect data. Quantitative analysis was carried out using SPSS; t-tests and ANOVA tests enabled the analysis resulting in the findings that the parents and teachers should encourage pupils to develop good habits and attend specialized trainings on cultivating hope, forgiveness, and gratitude to raise their degree of optimism and wellbeing. Keywords : Gratitude, Hope, Forgiveness, Psychology, Optimism, Wellbeing.
Implementing the Integrated Climate Data Analysis through Hands on Experiments and Jigsaw Methodology to Enhance the Attainment of Learning Outcomes in the Climate-Responsive Architecture Course in Architectural Education
Authors:   Department of Architecture, Thiagarajar College of Engineering, Madurai, Vidhyasankari S M , Chandramathy I ,   Department of Architecture, Thiagarajar College of Engineering, Madurai
Published: November 2024

Abstract : As climate change poses unprecedented challenges to the built environment, architectural education must adapt to equip future architects with the necessary knowledge and skills to design climateresponsive buildings. This research explores the implementation of an innovative pedagogical approach in the climate-responsive architecture course, aimed at enhancing student’s learning outcomes through the integration of climate data analysis, hands-on experiments, and the jigsaw methodology. The study focuses on a cohort of architecture students engaged in a semester-long course specifically designed to address climateresponsive architectural concepts and principles. The results suggest that the integrated approach significantly improves student’s comprehension of climate-responsive architectural design principles and their ability to apply these principles to real-world design scenarios. The hands-on experiments and collaborative learning encourage participation, critical thinking, and creativity, while the jigsaw methodology encourages an interdisciplinary understanding of varied climate scenarios.The findings of this study contribute to the ongoing discourse on innovativeteaching methodologies in architectural education and provide valuable insights into the integration of climate-responsive design principles. By cultivating a generation ofarchitects equipped with climate-responsivedesign skills, architectural education can effectivelycontribute to mitigating the impacts of climate change and creating sustainable built environments for the future. Keywords :JIGSAW, pedagogy, climate data analysis, Learning Outcomes.
Iskolák és mobilitás a rendi társadalomban
Authors: Keszei András
Published: November 2024

A társadalmi átalakulás kutatásában az iskolarendszer már régóta kitüntetett helyet foglal el. Mióta a rendi kötöttségeket maguk mögött hagyó polgári társadalmak a 19. században bevezették az általános tankötelezettséget, az alapfokú, majd idővel a középfokú oktatás intézményrendszere egyre fontosabb szerepet játszik a boldogulás és az előrejutás feltételeinek meghatározásában. A polgári társadalmak „teljesítményelve” a nemesi értékrend által hangsúlyozott öröklött kiválósággal szemben a munkát és a tanulást jelöli meg az érvényesülés alapjaként, amit annak ellenére is széles körű konszenzus támaszt alá, hogy a kapcsolatok és az örökölt vagyon jelentősége láthatóan a demokratikus viszonyok között sem csökken. Iskolázottság révén előrejutni: ez a lehetőség elvileg mindenki számára adott, ahogy a képzés során tanúsított erőfeszítések, befektetett munka megtérülése is elvárható a jövőre nézve. A részletes szociológiai vizsgálatok azonban már lassan fél évszázada arra hívják fel a figyelmet, hogy az oktatási rendszer hatása összetettebb mintsem hogy azt a megfelelő előmenetel, majd társadalmi érvényesülés biztosítására korlátozhatnánk.
Mathematical Models of Temperature and Precipitation Forecasting Using Fractal and Fourier-Analysis of Meteorological Series
Authors:   Perm State University, Mitin Victor Yu. , Aptukov Valeriy N. ,   Perm State University
Published: November 2024

The article presents a methodology for constructing statistical models that can be used to predict the temperature regime and precipitation for the upcoming month. Temperature and precipitation are predicted on a two-element scale (high or low parameter value). Within the framework of the considered examples, it was found that temperature is predicted better than precipitation, and recently the accuracy of forecasts tends to increase. The article also provides a detailed analysis of the model parameters, including their change in the annual cycle, trends in the dynamics of change over the past 80 years, and the correlation between climatic parameters. Along with the basic statistical functions of climatic indicators, the models contain fractal parameters (fractal index) and parameters of the discrete Fourier transform (amplitude and phase of the first harmonic). It was found that the fractal indices of monthly series of average daily temperatures is lower than those for monthly series containing daily temperature values.
Computer Modeling of Robust and Adaptive Algorithms in Model-based Design Technology
Authors:   Perm State University, Oshchepkov Alexander Yu. , Vlasov Alexander N. ,   Perm State University
Published: November 2024

Automatic digital controllers that ensure the operation of autonomous (on-board or embedded) devices must use robust or adaptive algorithms. To compile a program in C language that implements modern effective control algorithms, model-based design technology (MOP technology) is used, the essence of which is that first a simulation computer model of the automatic control system is being compiled and debugged in a higher-level language, and then the controller operation code for the microprocessor is generated. The article provides an overview of robust and adaptive algorithms that can be used in on-board automatic control systems. Computer models of control systems were built using these algorithms in MATLAB and SimInTech packages, as examples of the initial stages of model-based design technology.
Comparative assessment of morphological characteristics of cultivars Hemerocallis × hybrida hort., created in the period of the 60-90s of the XX century
Authors:   N. V. Tsitin Main Botanical garden of Russian Academy of Sciences, Kabanov Alexander V. , Mamaeva Nataliya A. ,   N. V. Tsitin Main Botanical garden of Russian Academy of Sciences, Khokhlacheva Julia A. ,   N. V. Tsitin Main Botanical garden of Russian Academy of Sciences
Published: November 2024

The article presents the results of studying 31 cultivars of Hemerocallis × hybrida hort., created in the period of the 60-90s of the XX century, according to 7 quantitative characteristics: the height of the generative shoot, the diameter and width of the flower, the number of flowers on the peduncle, the distance between the leaf level and the lower flower in the inflorescence, the height of the bush in a non-flowering state and the length of the leaf records. A comparative assessment of the degree of their variability has been carried out. It is shown that the coefficient of variation in most of them (except for the distance between the leaf level and the lower flower in the inflorescence) does not exceed 41%. For each of the biometric parameters, the cultivars were grouped based on the absence of reliable statistical differences between them (within groups) and the presence of such differences between cultivars from different groups. The patterns of changes in morphometric characteristics in H. × hybrida cultivars under the influence of selective selection have been determined. According to the height of the generative shoot, as well as the distance between the lower flower in the inflorescence and the leaves, there is a tendency to a significant decrease in their absolute values. According to the number of flowers on the peduncle and the size of the flower, the tendency to create large-flowered and abundantly flowering cultivars is shown. The absence of trends towards changes in leaf length and bush height (in a non-flowering state) during the considered chronological period has been established.
Results of primary introduction assessment of soybean in the conditions of the middle taiga of Western Siberia
Authors:   Surgut State Pedagogical University, Moiseeva Ekaterina A. , Bordey Rimma Kh. ,   Surgut State Pedagogical University, Lozhkina-Gametskaya Natalia I. ,   Surgut State Pedagogical University
Published: November 2024

For the first time, in order to study the characteristics of individual growth and development, a primary assessment of the prospects for cultivating soybeans of the cultivated variety ‘SK Artika’ for green fodder of soybeans of the cultivated variety Artika, the feasibility of using the drug "Highсout Super Soya" containing nodule bacteria of the family Rhizobiaceae and in the extreme soil and climatic conditions of the north An introduction field experiment was conducted on the basis of the Surgut Botanical Garden. The introduction study area is located in the Khanty-Mansiysk Autonomous Okrug - Yugra (KhMAO-Yugra), in the central part of the West Siberian Plain on the right bank of the river. Ob and belongs to the 3rd agroclimatic region for the cultivation of early crops. The data obtained indicate that under the conditions of the introduction point, the height of the soybean stem, depending on the experimental variant, varies from 31 to 86 cm, the collection of green mass - from 12.4 to 106.6 c/ha and up to 33.4 c/ha absolutely -dry matter. The duration of the germination–flowering period of the introduced species ranged from 60 to 65 days. Pre-sowing bacterization of soybean seeds of the cultivar ‘SK Artika’ with the drug “Highсout Super Soya” contributed to the lengthening of the growing season of plants with a lower heat supply due to the reduction of the main phenological phases. A decrease in the stress influence of limiting factors was observed, which contributed to the enhancement of crop growth processes and the formation of high soybean yields in the extreme soil and climatic conditions of the point of introduction.
Сomрarаtive evaluation of GhСIРK6 gene expression profiles under different сonсentrаtions of NаСl in cotton (Gossypium hirsutum L.) seedlings
Authors:   Baku State University, Alizade Shader A.
Published: November 2024

Са2+ ассumulаtion in рlаnts under sаlt stress imрroves signаl trаnsduсtion аnd рroteсt them from fаtаl сonsequenсes. Саlсineurin B-like рroteins (СBLs) аre а unique grouр of Са2+ sensors thаt deсode Са2+ signаls bу асtivаting а fаmilу of рlаnt-sрeсifiс рrotein kinаses known аs СBLinterасting рrotein kinаses (СIРKs). The СIРK gene fаmilу is involved in resрonses to аbiotiс stressors suсh аs sаlt, drought, high аnd low temрerаtures. In this investigation, the relative exрression of GhСIРK6 wаs studied under stress сonditions of 100 mM аnd 200 mM сonсentrаtion of NаСl in 31 geogrарhiсаllу distаnt сotton сultivаrs belonging to the sрeсies Gossypium hirsutum L. Different dуnаmiсs of relative exрression раtterns were observed in сultivаrs thаt differ in their sаlt tolerаnсe. An inсreаse in GhСIРK6 trаnsсriрts wаs observed in both resistаnt аnd susсeрtible сultivаrs. Аt the sаme time, а deсreаse in the exрression level wаs determined in both resistаnt аnd sensitive genotурes. The obtаined results showed thаt the GhСIРK6 is induсed to different degrees bу sаlt stress аnd the meсhаnisms thаt ensure the sаlt tolerаnсe in рlаnts аre different.
APPLICATION OF OPTIMIZATION METHOD IN MULTIDIMENSIONAL SPACE TO THE PROBLEM OF DETERMINING FULLERENE CONCENTRATION IN FULLERENE-CONTAINING MIXTURE
Authors: Khashper Bella L. , Yunusova Darya S.
Published: November 2024

The work proposes a method for the quantitative processing of experimental data from ultraviolet spectroscopy of substituted fullerene mixtures, taking into account errors in the experimental data. This task can be written as a system of Vierordt equations (a system of linear equations). The coefficients of the system are the extinction coefficients of individual substituted fullerenes, which are difficult to measure accurately. Therefore, the mathematical model of the problem contains significant errors that affect the reliability and stability of the solution. To minimize the influence of errors, the work [1] proposes a method, which involves reducing the considered system of linear equations to a linear programming problem. This study generalizes the work [1] and proposes to use linear programming problems to find interval values of correction factors for parameters containing errors. Since decreasing the discrepancy reduces the solution error only for well-conditioned coefficient matrices, the values of correction coefficients that minimize the condition number of the coefficient matrix are found in the obtained intervals. The found correction values allowed to significantly improve the conditionality of the system coefficient matrix and obtain a more accurate solution. By using the refined extinction coefficients, the distribution of molar fractions of fullerene fragments and fullerene-containing compounds in the mixture of products formed by the attachment of cyanoisopropyl radicals was obtained, as well as the distribution of molar fractions of fullerene fragments of different degrees of substitution for samples of fullerene-containing polymethyl methacrylate and the distribution of molar fractions of fullerene fragments of different degrees of substitution for samples of fullerene-containing polystyrene. The results are correct and consistent with the theory, both for low-molecular-weight mixtures and for fullerene-containing polymers.
CONDUCTING CONTROL (SUPERVISORY) ACTIVITIES IN RELATION TO LICENSEES
Authors: Turova Natalya N. , Stabrovskaya Elena I. , Onopenko Svetlana V. , Ugarova Irina M. , Besperstov Dmitry A. , Popkova Kristina M.
Published: November 2024

The article describes the conduct of control (supervisory) measures on the territory of the Kemerovo region – Kuzbass, as well as measures in relation to licensees (license applicants). A form of assessment of licensing requirements conformity is presented, which in turn is carried out in relation to the licensee to streamline the license register. The problems of regulating legal documents in the field of licensing due to the lack of a list of minimum equipment, tools, technical means, including measuring instruments, for carrying out work and providing services for extinguishing fires in settlements, industrial facilities and infrastructure facilities are disclosed. The problem of non-approved warning and inspection forms during preventive control (supervisory) measures, the lack of preventive conversation sheets and accounting logs during licensing is also considered.
Berufskrankheitengeschehen in Österreich
Authors:   Allgemeine Unfallversicherungsanstalt, Wien, Machan Barbara
Published: November 2024

Incidence of occupational diseases in Austria There are many similarities between German and Austrian occupational disease law. The Occupational Diseases Modernization Act, which came into force only a few months ago, is used below as an opportunity to describe the most important legal foundations and innovations in Austria and to report on some occupational diseases in particular.
Qualitätssicherung in der Arbeitsmedizin – ein neues Modell zur Selbstevaluierung bis zum Erwerb eines arbeitsmedizinischen Gütesiegels in Österreich
Authors:   Österreichische Akademie für Arbeitsmedizin und Prävention (AAMP), Wien, Koth Stefan , Hochgatterer Karl ,   Österreichische Akademie für Arbeitsmedizin und Prävention (AAMP), Wien, Wechselberger Artur ,   Österreichische Gesellschaft für Qualitätssicherung & Qualitätsmanagement in der Medizin GmbH (ÖQMED), Wien
Published: November 2024

Quality assurance in occupational medicine – a new model for self-evaluation up to the acquisition of an occupational health seal of approval in Austria Based on the mandatory quality check for registered doctors in Austria, a questionnaire was developed in the “Quality assurance in occupational medicine” project, which is intended to serve as an instrument for a voluntary quality check for occupational medical care. The questionnaire defines the necessary structural and process requirements as well as standardized procedures for occupational health activities. In this way, occupational physicians and occupational health centers are provided with instructions for action, and the occupational health service becomes transparent for the “customers”. The tool is to be applied in a three-stage approach. The questionnaire will be available for download to all interested persons and is intended to contribute to a low-threshold improvement in quality by raising awareness. The second stage of the proof of quality is a self-evaluation officially confirmed by a certification authority. Finally, an audit can be used to obtain a seal of quality as the third level.
Triggerpunkt-Behandlungs-Tool zur Selbsttherapie von Myogelosen im Berufsumfeld – eine Anwendungsbeobachtung
Authors:   Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien, Hasenöhrl Timothy , Scharer Beate ,   Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien, Jordakieva Galateja ,   Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien, Crevenna Richard ,   Universitätsklinik für Physikalische Medizin, Rehabilitation und Arbeitsmedizin, Medizinische Universität Wien
Published: November 2024

Trigger point treatment tool for self-therapy of myogelosis in the professional environment – An observational study Aim: There is a large number of occupations where workplace-associated movement patterns and/or forced postures lead to muscle tension in the shoulders and back. These tensions have a direct detrimental impact on the quality of life and capacity for work of those affected. In the medium to long term, they also promote the development of structural degeneration of the musculoskeletal system. If employees in the healthcare sector are affected, this impairs high-quality patient care. The trigger point self-treatment tool “TensionTerminator” (ErgoPhysion, Innsbruck, Austria) was developed for the self-therapy of such tension conditions in the workplace. The use of this device was evaluated as part of an application observation in six departments at Vienna General Hospital (AKH). Methods: Six departments at Vienna General Hospital from the areas of surgery, laboratory medicine, internal medicine and radiology were each provided with a “TensionTerminator” device for independent use for 4 months between May 2023 and March 2024. A contact person in each department was trained in the use of the device and how to handle the documentation. As part of the observation, users were asked to independently enter their user ID, the duration of use and their subjective assessment of the effect (“better”/”worse”/”no change”) in a list each time they used the device. Results: During the test period, a total of 430 uses by 145 users were documented in the six departments, i.e. an average of almost 3 uses per person. The average application duration was 6.5 minutes. In 85.1% of all uses, the patient’s condition after use was described as “better”, and in 14% of all cases as “no change”. One of the 430 uses received a negative rating (“worse”). Conclusion: The trigger point self-treatment tool “TensionTerminator” has proven to be an effective device against workplace-associated muscle tension. It was received very well in the hospital setting and was used regularly. Keywords: workplace health promotion – back pain – myogelosis – myofascial trigger points
Breve sistematización del proceso de diálogo 2022
Authors:   Pontificia Universidad Católica del Ecuador, Páez Juan , Muñoz Gisela ,   Pontificia Universidad Católica del Ecuador
Published: November 2024

Múltiples causas que se hunden en la colonia, entre las que se destacan la injusticia, la pobreza y la exclusión social explican las tensas relaciones de los pueblos indígenas, afros y montuvios con el Estado.
Luchas indígenas en Ecuador: del conflicto a la transformación de la política pública
Authors:   Universidad Central del Ecuador, Palacios Herrera Paulina , Delgado Rocha Jorge ,   Universidad Central del Ecuador
Published: November 2024

La construcción de políticas públicas es un proceso que comienza con la identificación de un problema que requiere atención, generalmente motivado por demandas ciudadanas o análisis de datos. A partir de esta identificación, se realiza una investigación exhaustiva para comprender la magnitud y las características del problema, seguida de consultas con partes interesadas, como comunidades, organizaciones sociales y expertos.