bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARAÇÃO DO TEMPO DE REAÇÃO EM DUAS MODALIDADES ESPORTIVAS: VOLEIBOL E TIRO ESPORTIVO
Authors: Silva Naiara Laís Favarim , Campos Fábio Angioluci Diniz , Campos Leandra Cristina Benetti , Pellegrinotti Idico Luiz , Ugrinowitsch Herbert
Published: October 2024

Este estudo teve como objetivo analisar o tempo de reação simples (TRS) em praticantes de duas diferentes modalidades esportivas: voleibol e tiro esportivo. A amostra foi composta por 28 cadetes do sexo masculino da Academia da Força Aérea: 8 atletas do tiro esportivo, 10 atletas do voleibol e 10 sujeitos do grupo controle. Para este estudo, foi utilizado o Motor Learning Activity Software (Copyright 1992 Human Performance Laboratories Texas A&M University). Os sujeitos reagiram ao sinal luminoso pressionando a tecla o mais rápido possível, para que fosse verificado o seu TRS dado um estímulo visual. Não foram encontradas diferenças estatisticamente significativas para o TRS entre os três grupos de atletas (voleibol, tiro esportivo e grupo controle). Estes dados sugerem que as práticas esportivas do voleibol, tiro esportivo e grupo controle não interferem na coordenação neuromuscular para neste tipo de teste.
A SEGURANÇA E EFICÁCIA DA NALBUFINA NA COLECISTECTOMIA LAPAROSCÓPICA: UMA REVISÃO INTEGRATIVA
Authors: João Pedro Monteiro Piassa
Published: October 2024

A colecistectomia laparoscópica é um procedimento cirúrgico minimamente invasivo realizado com intuito de remover uma vesícula biliar inflamada ou patológica, sendo que os pacientes podem sofrer de dor aguda pós-operatória relacionada à cirurgia, mesmo com operações laparoscópicas minimamente invasivas. O presente estudo de revisão buscou avaliar novos estudos acerca da eficácia e segurança da nalbufina em pacientes submetidos à colecistectomia laparoscópica, a partir de ensaios clínicos publicados na literatura médica atual. Trata-se de uma pesquisa de revisão integrativa realizada por meio da base de dados PubMed, que levou em consideração os seguintes critérios de inclusão: ensaios clínicos; artigos publicados nos últimos 05 anos (2019-2024); que possuíam texto completo disponível e que abordassem acerca do uso da nalbufina em pacientes submetidos à colecistectomia laparoscópica. Foi constatada uma redução na incidência de dor crônica pós-operatória (DCPO) a partir do uso da nalbufina em pacientes submetidos à colecistectomia laparoscópica, sugerindo um potencial benefício a longo prazo. Ademais, uma dose inicial menor da nalbufina demonstrou eficácia em controlar a dor pós-operatória, apesar de um maior escore inicial de dor autorreferida. Ainda que os pacientes tratados com nalbufina tenham apresentado maiores valores de pressão arterial, observou-se uma menor incidência de náuseas e vômitos, bem como uma dor visceral mais leve em comparação com o grupo controle, sugerindo que a nalbufina possa ser uma opção segura e eficaz para o manejo da dor após colecistectomias laparoscópicas.
SAÚDE MENTAL E OS FATORES ASSOCIADOS AO ESTRESSE OCUPACIONAL ENTRE PROFESSORES DO NÍVEL SUPERIOR DE ENSINO DURANTE A PANDEMIA DE COVID-19
Authors: Anamélia Damasceno de Macêdo
Published: October 2024

RESUMO: Este estudo exploratório de abordagem qualitativa analisou os desafios enfrentados por quinze professores universitários de uma instituição privada brasileira durante o ensino emergencial remoto, buscando compreender os fatores associados ao estresse ocupacional e suas implicações na saúde mental e no bem-estar. A pesquisa revelou que a sobrecarga de trabalho, a falta de contato humano e a pressão por desempenho foram os principais desafios enfrentados pelos docentes. No entanto, estratégias de enfrentamento, como estabelecer limites entre trabalho e vida pessoal e buscar apoio emocional e social, emergiram como recursos significativos para lidar com o estresse e promover o bem-estar dos professores. Esses resultados destacam a importância de reconhecer e abordar o estresse ocupacional no contexto acadêmico, enfatizando a necessidade de investir em práticas de apoio à saúde mental e promover uma cultura de cuidado mútuo nas instituições de ensino superior.
PARÂMETROS ASSOCIADOS AO COMPORTAMENTO SEDENTÁRIO DE TRABALHADORES ADMINISTRATIVOS DE UMA UNIVERSIDADE
Authors: Cynara Cristina Domingues Alves Pereira  , Roberto Vilarta  , Heleise Faria dos Reis de Oliveira  , Maria Inês Monteiro  , Marcos Gonçalves Maciel  , Ricardo Pablo Passos  , Guanis de Barros Vilela Junior
Published: October 2024

O objetivo deste estudo foi descrever a prevalência do nível de atividade física (NAF) e os fatores associados ao sedentarismo de trabalhadores do setor administrativo universitário (TADM). A amostra constituiu-se de 165 TADM com idade entre 17 e 29 anos (63,6%), de ambos os sexos (73,9% de mulheres e 26,1% de homens). As variáveis sociodemográficas, socioeconômicas e antropométricas (formulário semiestruturado, critério de classificação econômica do Brasil e índice de Massa Corporal - IMC), respectivamente, NAF (IPAQ curto), percepção da Qualidade de Vida (QV) (WHOQOL- bref), barreiras à prática de atividade física (AF) (NEWS) e estágios de prontidão para a mudança de comportamento em relação à AF (EPMC) (Modelo Trans teórico (MTT), foram analisadas de modo on-line. As associações com o comportamento sedentário foram avaliadas por meio de uma análise exploratória descritiva das variáveis. Os TADM descreveram características sociodemográficas, socioeconômicas e antropométricas como: 73,9% mulheres, 63,6% jovens entre 17 e 29 anos, 58,3% solteiros, 65,4% no nível socioeconômico D e com sobrepeso (25,6 ± 5,3). Em relação ao NAF, 54,6% foram classificados como insuficientemente ativos e 40,6% estavam no estágio de contemplação para mudanças de comportamento. Quanto a percepção de QV total (81,2±11,3), de forma geral (80,7±11,9), para cada faceta e para os domínios físico (75,3±14,7), psicológico (77,0±11,4), social (77,2±14,3) e ambiental (66,2±9,8) e as barreiras para a prática de AF estão nos bairros quanto à insatisfação em relação a quantidade e velocidade do tráfego no bairro (28,8%) a número de faixas de pedestre ( 44,8%) e acesso ao comércio, ao número de amigos no bairro (84,4%). Conclui-se que o NAF dos TADM foi insuficientemente ativo e que fatores associados, como sociodemográficas, socioeconômicos, comportamentais e ambientais impactaram diretamente sobre a prevalência do sedentarismo .
TREATMENT OF TOOTH AVULSION: A CASE REPORT
Authors: Danielle Bezerra de Oliveira Nascimento Danielle Bezerra de Oliveira Nascimento , Vaz Débora , Lopes Drumond Clarissa , De Oliveira Júnior José Klidenberg , Casimiro de Oliveira Marcos Alexandre , Da Silva Andrade Kauana , De Freitas Lima Renally , Vieira de Sousa Raulison
Published: October 2024

Dental trauma (DT) refers to injuries caused by impacts to the teeth and/or the hard and soft tissues within or outside the oral cavity. Among the various types of DT, avulsion, characterized by the complete displacement of the tooth from its socket. The success of treatment depends on timely management and proper professional care during and after reimplantation in preserving the tooth in the oral cavity. This study describes a case report of an avulsion of the upper left central incisor (21) that underwent reimplantation. The patient, a 10-year-old boy, had a history of bicycle fall, presenting with extraoral injuries to the cheek and chin, lip abrasions, and avulsion of tooth 21. The tooth was stored in milk and reimplanted 30 minutes after the accident. Clinical and radiographic examinations showed no bone fractures but revealed mobility of teeth 11 and 12 and avulsion of tooth 21. Treatment included cleaning, repositioning of the avulsed tooth, stabilization with a semi-flexible splint, and administration of antibiotics and analgesics. Endodontic therapy with mechanical instrumentation was successfully initiated after 20 days. This case highlights the importance of proper tooth storage and timing of reimplantation, leading to the restoration of patient’s aesthetics, chewing function, and self-esteem.
ARTIFICIAL INTELLIGENCE CRIME' AN OVERVIEW OF MALICIOUS USE AND ABUSE OF AI
Authors: MUNIRATHINAM DR.R.BABY , A.TEJASWINI  , M.SAMREEN  , T.PRAVANYA
Published: October 2024

The rapid advancement of artificial intelligence (AI) technologies has brought about significant benefits across various sectors, yet it has also introduced new challenges and risks associated with their malicious use and abuse. This project provides a comprehensive overview of AI-related crimes, exploring the spectrum of nefarious activities that exploit AI systems for illegal and unethical purposes. It examines the ways in which AI can be weaponized for cyberattacks, including automated phishing, deepfake creation, and data breaches. Additionally, the project delves into the misuse of AI in surveillance and privacy violations, highlighting how these technologies can be employed to infringe upon individual freedoms and civil rights. Through a detailed analysis of case studies, regulatory gaps, and emerging threats, this study aims to shed light on the various forms of AI abuse and offer recommendations for mitigating associated risks. By addressing the dual-use nature of AI technologies, the project seeks to enhance awareness and contribute to the development of effective safeguards and ethical guidelines to prevent and address AI-related crimes.
A MEASUREMENT APPROACH FOR INLINE INTRUSION DETECTION FOR HEARTBLEED-LIKE ATTACKS IN IOT FRAMEWORKS
Authors: K.SMITA DR. , FALKI GANGISETTY , RITHIKA GOUDI , SREEJA GOURISHETTY
Published: October 2024

Cyber security is one of the most crucial aspects of the Internet of Things (IoT). Among the possible threats, great interest is today paid toward the possible capturing of information caused by external attacks on both client and server sides. Whatever the IoT application, the involved nodes are exposed to cyber attacks mainly through the vulnerability of either the sensor nodes themselves (if they have the capabilities for networking operatively) or the IoT gateways, which are the devices able to create the link between the local nodes of the IoT network, and the wide area networks. Due to the low-cost constraints typical of many IoT applications, the IoT sensor nodes and IoT gateways are often developed on low performance processing units, in many cases customized for the specific application, and thus not easy to update against new cyber threats that are continuously identified. In the framework of cyber attacks aimed at capturing sensitive information, one of the most known was the heart bleed, which, has allowed attackers to remotely read protected memory from an estimated 24–55 percent of popular HTTPS sites. To overcome such a problem, which was due to a bug of the OpenSSL, a suitable patch was quickly released, thus allowing to avoid the problem in most of the cases. However, IoT devices may require more advanced mitigation techniques, because they are sometimes unable to be patched for several practical reasons. In this scenario, the paper proposes a novel measurement method for inline detecting intrusions due to heart bleed and heart bleed-like attacks. The proposed solution is based on an effective rule which does not require decoding the payload and that can be implemented on a low-performance general-purpose processing unit. Therefore, it can be straightforwardly implemented and included in either IoT sensor nodes or IoT gateways. The realized system has been tested and validated on a number of experiments carried out on a real network, showing performance comparable (in some cases better) with the heavier machine learningbased methods.
DEEP LEARNING-BASED CLASSIFICATION FOR MELANOMA DETECTION USING XCEPTIONNET AND DENSENET121
Authors: REDDY DR.Y.GEETHA , SANA MAHMAD , SRAVANI MALOTH , AKHILA MIRALA
Published: October 2024

Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improving patient outcomes, yet traditional methods often rely on subjective visual inspection by dermatologists, leading to variability and delay in diagnosis. This study presents a deep learningbased classification approach for melanoma detection, utilizing the XceptionNet and DenseNet121 convolutional neural network (CNN) architectures. Leveraging a large dataset of dermoscopic images, the proposed model is trained to automatically identify malignant melanomas from benign lesions with high accuracy. XceptionNet and DenseNet121 are employed as feature extractors, capturing intricate patterns and features from skin lesion images. Transfer learning techniques are utilized to fine-tune the pretrained models on the melanoma dataset, enhancing classification performance. Extensive experimentation and evaluation on benchmark datasets demonstrate the superior performance of the proposed approach compared to traditional methods and standalone CNN architectures. The deep learning-based classification model holds promise for aiding dermatologists in early melanoma detection, potentially reducing diagnostic variability and improving patient outcomes.
ILLUMINATING AUTONOMY FEDERATED LEARNING FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES UNDER LOW LIGHT
Authors: PRASAD DR.C.V.P.R , HOTTA AAYUSHI , B.SNEHA  , CHINTAREVULA ADITI , SINDHU D. SRI
Published: October 2024

Autonomous vehicles rely heavily on object detection systems to navigate safely, yet low-light conditions pose significant challenges to these systems. Traditional centralized machine learning approaches require substantial data aggregation, raising privacy and security concerns. This paper introduces an innovative approach, Illuminating Autonomy Federated Learning (IAFL), designed to enhance object detection in autonomous vehicles operating under low-light conditions. IAFL leverages federated learning to train object detection models across multiple vehicles without centralizing the data, thus preserving privacy while utilizing diverse realworld driving data. The approach integrates advanced image enhancement techniques to improve low-light object visibility, combined with robust federated learning algorithms to ensure model accuracy and generalization across varying environments. Extensive simulations and real-world testing demonstrate that IAFL significantly improves detection performance in low-light scenarios, maintaining high accuracy and efficiency while ensuring data privacy and security. This research marks a pivotal step toward safer and more reliable autonomous driving in challenging lighting conditions.
Heartbeat classification using various machine learning models: A comparative study
Authors: Nshimiyimana Marc , Niyogisubizo Jovial , de Dieu Ninteretse Jean
Published: October 2024

Cardiac arrhythmias, known as irregular heartbeats, pose a notable health threat that necessitates prompt diagnosis, as untreated arrhythmias can lead to severe heart complications. Among the various methods for arrhythmia detection, electrocardiography is the most prevalent due to its non-invasive monitoring of heart activity. However, manual electrocardiogram (ECG) analysis is inefficient and prone to errors, prompting the exploration of machine learning (ML) models for ECG feature recognition. Integrating ML models with ECG analysis can revolutionize cardiac diagnostics by improving healthcare efficiency and outcomes by enhancing the accuracy and consistency of existing approaches as well as their processing speed for large datasets. Unfortunately, current ML methods encounter two key limitations: prolonged training times and the need for manual feature selection. To address these issues, we propose using ML models enhanced with innovative techniques such as the Fourier transform (FT) and Gaussian noise injection for improved cardiac health assessment. To validate this approach, we utilized statistical tools, including Pearson correlation and p-values, to uncover relationships within the data. In addition, we employed the FT technique to extract and analyze frequency-domain features. Our comparative study of different ML models relied on metrics such as accuracy, precision, recall, F1 score, and receiver operating characteristic area under the receiver operating characteristic curve, demonstrating XGBoost’s impressive average recall of 0.956 with 99.96% overall accuracy. An average precision of 0.956 further underscored the accuracy of XGBoost’s predictions, indicating its high level of reliability in distinguishing various cardiac conditions. These results highlight the considerable potential of ML techniques for precise ECG-based clinical diagnoses, helping healthcare professionals make more accurate and timely decisions in patient care.
Exploring the Nexus between ESG Disclosure and Financial Risk, Exploring how Transparent Reporting Shapes Perceptions of Risk and Influences the Decision-Making Process for Investors.
Authors: Hareem Atif  , Qandeel Alam
Published: October 2024

There is a growing trend in the corporate world to integrate Environmental, Social and Governance (ESG) criteria into the business practices of companies. His shift is driven by a growing awareness of the impacts of business practices on society and the environment, prompting companies to adopt more sustainable approaches. Research has shown that incorporating ESG criteria not only enhances financial performance but also fosters a balanced societal and economic environment (Rajesh & Rajendran, 2020). Still, what exactly is the impact of transparency surrounding ESG issues on financial risk, is still somewhat muddled and calls for more researches on how it changes how people make business decisions and how people invest (Liu, 2022). This literature review is constructed by gathering existing studies and research, then collectively analyzing them with the purpose of defining the factors under which ESG disclosure is likely to influence an organization’s financial risks with a focus on the implications of transparency on investment decisions and corporate planning for sustainable development.
Keywords: ESG, Financial Risk, Decision making, Sustainability, Environmental, Social, and Governance, Corporate strategy, financial performance
Analisis Kejadian Ibu Hamil dengan Preeklampsia di Puskesmas Tambora Jakarta Barat dan Puskesmas Padang Ratu Lampung Tengah
Authors: Yanuarti Tuty , Novita
Published: October 2024

Kasus ibu hamil yang ada dilapangan dan memerlukan pertolongan secara cepat bahkan dapat menyebabkan kamatian adalah kasus preeklamsia. Preeklampsia memiliki dampak serius pada ibu diantaranya adalah solusio plasenta, hemolysis, oedema paru, neurologik, hepar, koagulasi dan fibrionolisis, viskositas darah. Janin pre eklamsia dapat mengakibatkan intrauterine Growth Retardations (IUGR), prematuritas, oligohidramnion. Penyebab awal terjadinya preeklampsia umumnya karena kegagalan plasentasi. Tujuan dari penelitian ini adalah mengalanisis kejadian ibu hamil dengan preeklampsia di Puskesmas Tambora Jakarta Barat dan Puskesmas Padang Ratu Lampun Tengah. Penelitian ini menggunakan metode penelitian deskriptif kuantitatif dengan pendekatan retrospektif. Besar sampel pada penelitian ini menggunakan porpusif random sampling yang berjumlah 425 responden. Analisa data untuk mencari hubungan antar variabel menggunakan uji Chi- Square karena data berskala kategorik-kategorik. Penelitian ini didapatkan hasil bahwa mengalanisis kejadian ibu hamil dengan preeklampsia di Puskesmas Tambora Jakarta Barat dan Puskesmas Padang Ratu Lampung tengah adalah usia, pendidikan, pekerjaan, paritas, pendapatan keluarga). Semua p-value < 0,05 (0,015, 0,011, 0,007, 0,011, 0,015). Adapun analisis faktor yang hubungan dengan kejadian preekalmsia pada ibu hamil di Puskesmas Tambora dan Puskesmas Padang Ratu Lampun Tengah adalah usia, pendidikan, pekerjaan, paritas, pendapatan keluarga. Agar tidak terulang terjadinya pre eklamsia pada ibu hamil maka perlu dikaji ulang akan usia, pendidikan, pekerjaan, paritas, pendapatan keluarga.
Retracción actual del lago Cardiel y un nuevo nivel del sitio arqueológico Patito (Santa Cruz, Argentina) “redescubierto”. Análisis faunístico.
Authors: Dellepiane Juan , Goñi Rafael , Agnolin Agustin , Horta Luis
Published: October 2024

La arqueología de la cuenca del lago Cardiel ha sido estudiada desde hace 25 años, desde múltiples líneas de evidencia. Desde la década del ’80, ha sido profundamente abordada desde disciplinas relacionadas con la geología y geomorfología. Desde una perspectiva arqueológica, el sector bajo estudio de la península del lago Cardiel, con el sitio arqueológico Patito como referente, ha sido uno de los más interesantes en términos de procesos de transgresiones y regresiones del lago a través del tiempo y su relación con las ocupaciones humanas en el área. En este trabajo se aborda el análisis de un novedoso conjunto arqueofaunístico del sitio, el cual ha quedado al descubierto por las recientes retracciones del lago (no registradas al momento de las anteriores visitas al lugar, ya que el nivel del lago estaba más alto), bajo condiciones cada vez más profundas de desecación ambiental actual en la estepa patagónica. Se discuten las características del conjunto óseo en términos tafonómicos y de procesamiento humano de presas. Los conjuntos arqueológicos que han quedado al descubierto se ubican temporalmente entre 3500 y 3000 AP, lo cual ubica a este momento como un período seco, homologable a las condiciones actuales.
Diverse copulas through Durante’s method. Exploring parametric functions
Authors: Chesneau Christophe
Published: October 2024

This article unveils the often underestimated potential of a copula methodology introduced by Durante in 2009. It highlights the remarkable ability of the method to generate a broad spectrum of copulas by exploiting various parametric functions. Our exploration encompasses a collection of power-like, exponential-like, trigonometric-like, logarithmic-like, hyperbolic-like and error-like functions, each dependent on one, two, or three parameters, effectively satisfying the necessary assumptions of Durante’s method. The proofs provided rely on suitable differentiation, comprehensive factorizations, and judicious application of mathematical inequalities. In the vast repertoire of copulas derived from this methodology, we present three distinct series of eight new copulas, supported by a graphical analysis of their respective densities. This theoretical study not only expands the understanding of copula generation but also introduces a new perspective on their construction in various contexts.
Minimum cost flow problems in generalized fuzzy environments. Credibilistic CVaR minimization approach
Authors: Akdemir Hande Günay , Kara Nurdan , Kocken Hale Gonce
Published: October 2024

The paper focuses on the problems of linear programming (LP) with generalized fuzzy numbers (GFNs) as coefficients of the objective function. It is necessary to characterize consistent arithmetic operations to lower the error and information loss compared to the minimum operator usage and normalization in cases where experts are not completely certain of their subjective opinions. The uncertainty is eliminated using the total cost as a loss function and credibilistic conditional value at risk (CVaR) minimization. To crispify and generate a GFN, we utilize a ranking function that allows us to consider risky realizations. By solving many deterministic problems with LP solvers, projections of the error in the objective function can be presented. To describe and implement our methodology, we mainly focus on network optimization problems, especially generalized fuzzy transportation, assignment, and shortest path problems.
Organizational and technical prerequisites for effective agronomic interpretation of the results of remote sensing of the field surface
Authors:   INSTITUTE of MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION of the NATIONAL ACADEMY of AGRARIAN SCIENCES of UKRAINE, Myronenko V. , Ivashchenko Yu. ,   INSTITUTE of MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION of the NATIONAL ACADEMY of AGRARIAN SCIENCES of UKRAINE
Published: October 2024

Annotation Purpose. Improving the efficiency of using remote sensing data on the field surface. Methods. Analysis of the prospects for the use of remote sensing information on the field surface in agro-industrial production. Synthesis of remote sensing data of the field surface with the system of their agronomic interpretation in accordance with DSTU 3956-2000. Technical means of measurement and control in industrial processes. Part 1. Basic concepts. Terms and definitions. Results. General algorithm and structure of software and hardware for the use of remote sensing information of the field surface and its agronomic interpretation. Conclusions. An important element of the effective use of remote field surface monitoring information is its agronomic interpretation. The efficiency of agronomic interpretation of the results of remote monitoring of the state of fields can be significantly increased through the use of appropriate software and hardware. The share of growth in agricultural efficiency in the world after the introduction of satellite technologies for sensing the field surface is more than 5 %. Keywords: remote sensing, field orthophotomap, agronomic interpretation, efficiency.
Soil cultivation in the context of climate change and its technical support
Authors:   INSTITUTE of MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION of the NATIONAL ACADEMY of AGRARIAN SCIENCES of UKRAINE, Grytsyshyn M. , Perepelitsa N. ,   INSTITUTE of MECHANICS and AUTOMATICS of AGROINDUSTRIAL PRODUCTION of the NATIONAL ACADEMY of AGRARIAN SCIENCES of UKRAINE
Published: October 2024

Annotation Purpose. Based on the generalization of modern technologies for managing plant nutrition and soil health, to formulate requirements for technical means for soil cultivation in the context of climate change. Methods. Monographic, system analysis, theoretical generalization, abstract and logical. Results. The agrotechnical requirements for the quality of technological operations for soil cultivation in the conditions of climate change to ensure sustainable environmentally responsible production of agricultural products are determined. The analysis of modern technologies for managing plant nutrition and soil health and their technical support is carried out. It has been established that one of the promising areas of greening soil cultivation technologies is vertical tillage, which creates favorable conditions for the accumulation and use of moisture in the soil and reduces the removal of weed seeds from the lower horizons to the surface. The requirements for the technical support of soil cultivation in Ukraine, the use of which in the context of climate change will help to reduce the anthropogenic load on the soil and its physical degradation, are outlined. Conclusions. Mechanical tillage is an important technological operation because in the process of interaction of working bodies with the soil environment, the physical state of the soil changes. The working bodies of tillage tools interacting with the soil should not allow its spraying and compaction in the seedbed should be at least 60 % of soil aggregates with a size of 10 mm to 0.25 mm. In the context of climate change, the paradigm for the development of tillage equipment should be to harmonise the interaction of working tools with the soil, which can be achieved through the automation of their operating modes. To implement energy-saving tillage technologies in the context of climate change, scientists of the Institute of Mechanics and Automatics of Agroindustrial Production of the National Academy of Agrarian Sciences of Ukraine in cooperation with specialists of plant «Krasnyansky JV «AGROMASH» have created and established industrial production of a complex of energy-efficient tillage equipment, including vertical tillage technology. Keywords: climate change, physical soil degradation, soil cultivation, requirements of agricultural technology, ecologization, technical support.
A φ-Contractivity Fixed Point Theory and Associated φ-Invariant Self-Similar Sets
Authors: H. Altaweel Nifeen
Published: October 2024

In this paper, we apply a generalized variant of the concept of fixed point theory due to contraction mappings on metric spaces to construct a general class of iterated function systems relative to the so-called φ-contraction mappings on a metric space. In particular, we give a general framework to the Hutchinson method of constructing self-similar sets as fixed points of suitable mappings issued from the φ-contractions on the metric space. The results may open a new axis in the generalization of self-similar sets and associated self-similar functions. Moreover, our results may be extended to general metric spaces with suitable assumptions. The theoretical results are applied for the computation of the fractal dimension of a concrete example of the new self-similar sets.
The Role of Social Support and Positive Psychological Capital in Chinese FGCSs’ Engagement in Higher Education: A Strengths-Based Perspective
Authors: Lai Miaojie , Liu Dan
Published: October 2024

The study shifts the research focus of First-Generation College Students (FGCSs) away from a deficit-based model towards a strengths-based perspective to examine those FGCSs who can successfully integrate into higher education. Specifically, twelve FGCSs in China were interviewed. The findings revealed that FGCSs can leverage interpersonal resources (i.e., social support) as well as intrapersonal resources (i.e., positive psychological capital) to adapt to and excel in college life and study. These findings have important implications for promoting a more comprehensive understanding of FGCSs and encouraging their greater sense of empowerment and confidence.
Relational Job Crafting and Task Performance: The Mediating Role of Work Engagement
Authors: Woode John Kingsley , Musah Faisal , Adjei Audrey Foriwaa , Assifuah-Nunoo Emmanuel , Bambir John
Published: October 2024

This study investigates the mediating role of work engagement on the effect of relational job crafting on task performance among employees in the public sector of Ghana.  Relational job crafting involves offers significant benefits to public sector employees by enhancing their performance through collaborative engagement. Thus, when employees actively adjust their social work environment, they can reduce (increase) work-related stress (sense of purpose) through fostering stronger relationships, which also improve well-being and performance. The research employed a closed-ended questionnaire and conducted a cross-sectional online survey. The study’s target population consists of 17,163 public sector employees in Cape Coast Metropolis, out of which 456 were randomly selected to complete the survey. The sample size was estimated using the Adam, (2020) approach for selecting samples in a quantitative study. Data collection took place from January to June 2023, and the analysis was conducted utilising the R version of partial least squares structural equation modelling (PLS-SEM). The study revealed an average yet statistically significant influence of relational job crafting on both work engagement and task performance. Thus, relational job crafting had a significant positive effect on work engagement (β = 0.502, p < 0.01) and task performance (β = 0.293, p < 0.01), with work engagement further affecting task performance significantly (β = 0.475, p < 0.01). The significant positive relationship shows that the increase in both relational job crafting and work engagement among Ghanaian public sector employees further improves their performance in the various tasks assigned to them. Also, despite the direct relationship between work engagement and relational job crafting and task performance, it was further revealed that the latter further mediate the relationship among the former and task performance. Thus, it was found that work engagement serves as a complementary partial mediator in the relationship between relational job crafting and task performance (β = 0.238, SE = 0.034, 95% CI = 0.177, 0.309). These findings support the initial hypotheses established for the study. In terms of policy recommendations, this study emphasises the importance of fostering both work engagement and relational crafting to enhance task performance in the Ghanaian public sector. It suggests that employers, including government bodies, directors, and chief executive officers of public institutions, as well as policymakers, including labour unions, should implement measures across various sectors of public services to strengthen employee relations and increase engagement, ultimately enhancing task performance
Cybersecurity Enhancement in IoT Wireless Sensor Networks using Machine Learning
Authors: El Ahmar Elie , Rachini Ali , Attar Hani
Published: October 2024

In the context of the Internet of Things, this paper presents approaches in order to enhancing the security in Wireless Sensor Networks. It addresses the challenges arising from the lack of standardization in IoT. On the other hand, this paper proposes a machine learning and AI algorithms to detect the intrusion detection. WSNs, which are crucial for data collection across various applications, face several security threats like eavesdropping and Denial of Service (DoS) attacks. The proposed approach in this paper present accuracy rates of 0.98 for Random Forest, 0.90 for SVM, and 0.95 for KNN. It demonstrates the effectiveness of machine learning in identifying various types of attacks. This method not only improves authentication efficiency but also significantly enhances the detection and classification of diverse security threats, paving the way for substantial advancements in cybersecurity within IoT environments.
HVLV-Motor-KC: Production Efficiency of HVLV Motor Classification using K-means Clustering
Authors: Do Yeji , Lee Chaegyu , Jeong Jongpil , Jeong Jiho , Bae Donggeun , Yeo Inkwon , Kim Mingyu
Published: October 2024

This paper aims to introduce the K-means clustering algorithm to complement the Group Technology (GT) methodology as part of a multi-product, low-volume production system. This challenge aims to overcome the limitations of the GT methodology and optimize the production schedule to increase efficiency. We propose a high-variation, low-volume K-means clustering (HVLV-Motor-KC) algorithm, which is a K-means clustering algorithm that focuses on high-variety, low-volume data. This algorithm helps to optimize production by placing motors with similar characteristics in the same cluster.
Mountain Steppes And Upland Xerophytes ― As an Element of Landscape Diversity in The Eastern Central Caucasus
Authors: I. Tebieva Delyara , V. Dobronosov Vitaly
Published: October 2024

Long-term observations of dynamic processes in the landscapes of intra-mountain basins on the territory of North Ossetia-Alania have shown that changes in them can be both progressive and regressive, which is associated with natural external factors that are imposed by anthropogenic influences. For a long time, arid landscapes in the eastern part of the Central Caucasus (within the North Ossetia-Alania) were intensively exploited as pasture (less often arable) land and underwent significant anthropogenic degradation. The situation began to change in the last decade of the 20th century due to the general crisis state of the country's economy, the collapse of collective farms and state farms, a sharp reduction in the number of cattle and small cattle. The removal of agricultural load on mountain landscapes led to the gradual restoration of their natural state. Currently, there is a trend towards a change in traditional nature management to recreational, and the problem of protecting natural geological systems is again emerging from recreational impact. The most vulnerable are arid dry-steppe and upland xerophytic formations, occupying a little more than 6 thousand hectares (8.4%) of the area of intracity basins, but are habitats included in the Red Book of North Ossetia-Alania, endemic and rare vascular plants (more than 20 species) and invertebrate animals (about 60 species).
Transition coefficients during bending testing of samples for mortars and fine-grained cement concretes
Authors: Alshin Vladimir A.
Published: October 2024

Introduction. Existing cement mortars and fine-grained cement concretes have the same composition, however, according to State Standard, these materials are tested using different methods for evaluating physical and mechanical properties that are not in harmonious accordance with each other. This disagreement in the evaluation of properties confuses the regulatory authorities, which receive data that contradict each other. The introduction describes the appearance of discrepancies in the assessment of the properties of fine-grained cement concrete and cement mortar. A change in the concepts of definitions between the original classification and the modern one is presented.

Aim. Finding the transition coefficients when testing for three-point and four-point bending of samples of mortars and fine-grained cement concrete, taking into account the geometric dimensions of the samples.

Materials and methods. Preparation of cement concrete samples of various classes of materials conforming to State Standard requirements, description of differences in methods for determining three-point and four-point bending, calculation and manufacture of additional installations taking into account the geometric dimensions of the samples, conducting bending tests according to standard methods and using manufactured installations preserving the proportion of values taking into account the scale of the sample, as well as calculation of transition coefficients for each class.

Results. The results of the study showed that the transition coefficients have a significant impact on the processing of the results and the assessment of the strength characteristics of mortars and fine-grained cement concretes and may affect the accuracy of the data obtained.

Conclusions. The study provides a better understanding of the mechanical properties of mortars and cement concretes during bending, which can be useful in the design, construction of structures and quality control.
Experimental studies of the strength of bent reinforced concrete elements with crimp couplings of reinforcement
Authors: Zenin Sergey A.
Published: October 2024

Introduction. As indicated in the first part of the article published in the Industrial and Civil Engineering journal (No. 12, 2023), the relevance of the work is due to the increased volume of use of longitudinal reinforcement couplings in reinforced concrete structures. The analysis of the domestic and foreign regulatory and technical base has shown that there is an opportunity to optimize coupling connections in terms of arrangement of their spacing. In that work, prototypes were described for conducting experimental studies to assess the effect of various design solutions for the spacing of coupling joints of stretched reinforcement on the strength of normal sections of bent elements. This article analyzes the experimental strength data obtained and offers appropriate recommendations for the design of bent reinforced concrete structures with coupling joints.

Aim. Improvement of the urban planning system in terms of clarifying and supplementing of existing regulatory documents on the design of reinforced concrete structures.

Materials and methods. The research was carried out taking into account modern requirements, as well as the analysis of the results of their own experiments.

Results. The result of the work is an analysis of the experimental data obtained for bent reinforced concrete beams with coupling joints of stretched reinforcement. Based on the analysis, recommendations have been formed to optimize design solutions and clarify the requirements for the input control of couplings.

Conclusions. Considering that, in general, according to the results of the work, a fairly good convergence of experimental and theoretical results has been obtained, it is possible to assume a reduced value of coupling spacing for certain types of load-bearing reinforced concrete structures. The need to tighten the input control of couplings in order to detect defects has also been identified. In addition, the need for further research on this issue was noted.
EXERCISES FOR DEVELOPING CRITICAL AND DIGITAL THINKING IN TEACHING FOREIGN LANGUAGES
Authors:   Uzbekistan State World Languages University, Tashkent, Uzbekistan, V.I. Normuratova
Published: October 2024

The article explores the interplay between critical thinking and digital literacy in today's technology-driven society. This article explores various exercises designed to enhance critical and digital thinking skills in the context of teaching foreign languages. It emphasizes the integration of language learning with digital literacy, presenting activities for developing critical thinking such as source evaluation, comparative analysis, digital footprint assessment, online discussion evaluation, ethical considerations, digital content analysis, online research and presentation tools to produce their project, reflective blogging, virtual debate. Additionally, it highlights the importance of engaging in digital scavenger hunt, evaluating online language tools, creating digital content, online discussion forums, web-based language projects, analyzing digital media, digital storytelling, online forums for better digital communication and project-based learning for collaboration based on digital thinking.
THE EVOLUTION OF MULTIPARTY POLITICS IN UZBEKISTAN: CHALLENGES AND OPPORTUNITIES FOR POLITICAL DEVELOPMENT
Authors:   PhD in Law, Associate Professor, Dean of the Faculty of Graduate and Distance Learning, Tashkent State University of Law, Uzbekistan, Babajanov Atabek Davronbekovich
Published: October 2024

This article examines the development of the multiparty system in Uzbekistan, highlighting the key stages and milestones since independence. It outlines the role of political parties in fostering democratic governance and representing the interests of diverse social groups in society. The paper explores the historical formation of political parties in Uzbekistan, from the cessation of the one-party system to the establishment of legal frameworks that empower political parties in shaping state power. The emergence of the Ecological Party of Uzbekistan is discussed as a significant event in the country’s evolving political landscape. Furthermore, the article addresses the current challenges faced by political parties, including the lack of political ideology, limited public awareness of political rights, and the need for improved competition among parties. The author argues that enhancing the legal foundation of parties and increasing their involvement in governance is essential for deepening democratic reforms. The article concludes with recommendations to strengthen political party participation, foster public trust, and promote active competition in Uzbekistan’s political system.
GUIDED LEARNING PEDAGOGY OR MECH: AN ALTERNATIVE TO THE LECTURE FOR TEACHING KNOWLEDGE AT UNIVERSITIES IN AFRICA
Authors: HOUNMENOU JEAN-CLAUDE
Published: October 2024

The paper presented hereby, aims to propose an original method, the guided learning pedagogy, also called Méthode d’Enseignement des Connaissances selon Hounmènou, MECH, (or Hounmènou Knowledge Teaching Method), as an alternative to the magisterial lecture method, in teaching knowledge, during the new university age characterized, in the whole word, and particularly in Africa, by the necessities of modernization and improvement of the quality of the teaching. After he has pointed out the unsuitability of the old magisterial lecture method in a context within barely every university are using the course book as a learning tool, the author clarifies the guided learning pedagogy as an interactive method, and some of its academic advantages for students, based on experimental results.
ON THE THRESHOLD BETWEEN GOVERNMENT SIZE AND ECONOMIC GROWTH: EVIDENCE FROM TANZANIA
Authors: O.A. NDANSHAU MICHAEL , JOSEPH CORNEL
Published: October 2024

This paper sought to empirically investigate the relationship between government size and economic growth in Tanzania by using annual time series data for the period 1967-2020, a period for which reliable data was available. Estimation by Autoregressive Distributed Lag (ARDL) bounds cointegration approach revealed the existence of a long-run and short-run relationship between economic growth, government size and other covariates of the estimation model. The results revealed the long-run effect of government size on economic growth was negative and was positive when it increased, suggesting the inexistence of a BARS curve in Tanzania during the sample period. Even though, the results supported the conventional views that price stability and openness of the economy are good for economic growth. While the results revealed the existence of a positive effect of population growth on economic growth, the effect of gross domestic investment was unexpectedly negative, both over the short and long-run period. The results suggest quadrupling the government size (consumption) is good for growth over the long run but not over the short run period. Also, the importance of price stability and commitment to openness of the economy to promote economic growth is underscored by the results.
ПОДБОР НЕТРАДИЦИОННЫХ КУЛЬТУР ДЛЯ ИНТЕНСИВНОГО ИСПОЛЬЗОВАНИЯ ОРОШАЕМЫХ ЗЕМЕЛЬ В ЗАВИСИМОСТИ ОТ БИОКЛИМАТИЧЕСКОГО ПОТЕНЦИАЛА ЗОН ВЫРАЩИВАНИЯ
Authors: Ержанова Кенже , Жоламанов Куаныш , Атакулов Тастанбек , Назаров Худайберди , Жунисхан Думан , Толеков Айдос
Published: October 2024

Представлены результаты исследований подбора нетрадиционных культур для интенсивного использования орошаемых земель в зависимости от биоклиматического потенциала зон выращивания. Оценка гидротермических условий юго-востока Казахстана, расчеты потребности сельскохозяйственных культур в сумме активных температур и фактические суммы положительных, активных температур и результаты полевых исследований показали, что в условиях Алматинской, Жетысуской, Жамбылской и Туркестанской областей при внедрении новых ресурсосберегающих технологий можно получать в год два урожая сельскохозяйственных культур.
Рост и накопление надземной массы яровых основных культур – овса и гороха идет медленно по сравнению с культурами озимого посева. Кустистость овса составила всего 6 шт., тогда как у культур озимого посева кустистость доходила до 15-16 шт. Тритикале в фазу колошения набирает высоту в среднем 108 см, а рапс 115 см. Самое максимальное накопление сырой и сухой массы (2664, 1243 гр.) наблюдается у культуры тритикале.
Урожайность зеленой массы озимых культур у рапса составила в среднем 584 ц/га, у тритикале - 554 ц/га. При совместных посевах овес и горох к началу фазы колошения и плодообразования набирают достаточную высоту: овес – 92 см, горох – 55 см, в результате набирают хорошую надземную зеленую массу – 4 230 и 1 490 граммов с одного квадратного метра. Биологический урожай зеленой массы совместного посева овса и гороха составил 572 ц/га.
Основные озимые культуры тритикале, рапс и на зеленую массу были убраны 15 и 17 мая и их урожайности зеленой массы в среднем составили 554 и 584 ц/га соответственно. Половина посевов рапса и тритикале были оставлены для дозревания до зерна. Эта часть посевов была убрана 07-10 июля, при этом средняя урожайность зерна рапса составила 24,5 ц/га, а озимого тритикале 62,0 ц/га. На контрольном варианте, где были проведены посевы озимого ячменя, средняя урожайность составила 56,6 ц/га.
Яровые посевы основных культур – совместный посев овса и гороха были убраны 10-12 июня, и общая урожайность зеленой массы составила 579 ц/га.