bluuebunny/crossref_metadata_2025 huggingface dataset:
Socio-Economic Vulnerability in Tsunami Devastations: A Critical Review Based on Galle City, Sri Lanka
Authors: Gunarathna Udari , Senarathna Bandara Chaminda , Dissanayake Ranjith , Munasinghe Harsha
Published: November 2024

With the Tsunami destruction in Sri Lanka in 2004, coastal communities became vulnerable to numerous environmental and socio-economic consequences. Besides, people tend to be more focused on the socio-economic impacts, as they suffer severely from that natural disaster. Consequently, this chapter comprehensively analyzes the socio-economic vulnerabilities caused by the Tsunami, focusing on the 2004 Tsunami incident in Sri Lanka, which created a disastrous situation among coastal communities. Moreover, it critically explains the integration between socio-economic aspects and the vulnerability of coastal communities during Tsunami events. With the devastation during the first event recorded in recent Sri Lankan history, Galle City was highlighted due to its extensive damage under different circumstances. Accordingly, the chapter evaluates the pre- and post-socio-economic conditions dominant in Galle City with the disaster recovery exertions. Further, different socio-economic perspectives on Tsunami vulnerabilities, including social cohesion, livelihoods, housing, and resource accessibility experienced by various community segments in the coastal areas of Galle City, are expansively defined with insights from urban planning, economy, sociology, and Tsunami-related reviews. Consequently, it provides potential improvements and novel pathways for future research focusing on resilience and sustainability in Sri Lankan coastal communities and beyond.
Dental Trauma and Association with Periodontium
Authors: Abhilasha Kumari
Published: November 2024

Dental trauma is an unexpected and unfortunate event that can cause varying degrees of damage to the teeth and often leaves a lasting psychological impact. This chapter deals in brief about different types of dental trauma, how periodontal health maintains the integrity of teeth, and the factors that predispose individuals to trauma, including the biomechanical mechanisms involved. Additionally, the chapter explores the responses of both healthy and diseased periodontium to trauma, emphasizing that a healthy periodontium not only resists sudden damage but also supports faster recovery. Conclusively focusing on the management and implication of digitization and artificial intelligence in dental traumas, which determines the prognosis and longevity of the treated tooth.
Overview on Genetic Diversity and Population Structure of the Nubian Ibex in Sudan: Key Aspects for Management and Conservation Strategies
Authors: Hassan Lubna M.A. , Omer Elhady A.M.
Published: November 2024

The Nubian ibex is important for conservation strategies, population health, evolutionary history, genetic adaptations, and management and breeding programs. Understanding these aspects is crucial for targeted conservation strategies, species survival, and maintaining genetic diversity. This chapter focuses on the genetic diversity and population structure of the Nubian ibex. We compare it to related species and use genotyping data to analyze heterozygosity, differentiation, and cluster analysis. Through our research, we emphasize the significance of comprehending genetic variations for the purpose of implementing effective conservation efforts. These insights play a crucial role in the preservation of this remarkable species in Sudan, ultimately raising awareness about the importance of protecting the Nubian ibex for future generations.
Multi Use Water System Approach for Small Hydro Power Plants (SHPP) alongside Irrigation and Drinking Water Supply (DWS) Networks
Authors: Moulaye Abdou Ahmed , Ahmed Abdou Adam
Published: November 2024

The multi-use water system (MUWS) approach means that different uses are considered at the planning stage, and the infrastructure is designed to support them. The implementation of hydro-agricultural irrigation schemes is an opportunity to develop multi-use water points. Alongside the development of irrigation, other productive activities can be developed (drinking water supply, livestock breeding, fish farming, hydroelectricity, etc.). Likewise, Multi-Village Drinking Water Supply (MV-DWS) projects offer a good opportunity for the development of irrigation, livestock, fish farming, and hydroelectricity. This chapter aims at the conceptualization of projects for the integrated development of irrigation, drinking water supply, and hydroelectricity. Renewable energy technologies can help countries meet their policy goals for secure, reliable, and affordable energy to expand electricity access and promote development. Among various micro hydropower plants, gravitational water vortex power plants are emerging because of their simple installation, reduced setup time, and minimal maintenance cost. There is a significant opportunity for the integrated development of water multi-purposes projects that can allow recovering this “sleeping” hydro potential. Even small irrigation or drinking water infrastructures can generate hydropower for the benefit of farmers cooperatives and Water User Associations, anywhere there.
Perspective Chapter: Development of Business in Rural Southeastern Mexican Communities and Environmental Awareness
Authors: Rubí Oropeza-Tosca Diana , Ivette Rincón-Molina Clara , Baptista Alexandre , Notario-Priego Roger
Published: November 2024

This study explores the relationship between gastronomic tourism and various Sustainable Development Goals (SDGs), emphasizing how sustainable practices in food production and tourism contribute to local economies and environmental awareness. Specifically, it highlights the impact of such tourism on rural communities of Southeastern Mexico, particularly in Tabasco, where gastronomic tourism supports SDG 8 (Decent Work and Economic Growth), SDG 12 (Responsible Consumption and Production), SDG 2 (Zero Hunger), and SDG 13 (Climate Action). The study focuses on inter-institutional collaboration, using the local cultural symbol, the “tropical gar”, as a case study to preserve culinary traditions while fostering socioeconomic growth. It showcases how promoting sustainable fishing, local ingredients, and traditional recipes can enhance local identity, conserve natural resources, and offer visitors a unique cultural experience. Moreover, it underscores the significance of partnerships (SDG 17) between educational institutions, government entities, and local cooperatives to develop sustainable tourism that supports regional development. The findings suggest that sustainable gastronomic tourism can create employment opportunities, encourage sustainable agricultural practices, and contribute to food security and poverty alleviation through responsible environmental management and cultural preservation.
Perspective Chapter: Mobile Radio Emergency Communications for Large-Scale Wildfire Fighting – Portugal as a Case Study
Authors: Salema Carlos , Caldeirinha Rafael
Published: November 2024

This perspective chapter explores the critical role of voice push-to-talk terrestrial mobile radio emergency communications in supporting firefighters in disaster relief operations. We discuss operational context and challenges, innovative solutions, and future trends in communication technologies for enhancing operational effectiveness and public safety. Each section provides insights and practical recommendations for improving emergency communication systems in firefighting and disaster relief operations, particularly large-scale wildfire fighting, using Portugal as a case study. The chapter comprises five main sections, in addition to Introduction and Conclusions; Operation Context and Challenges; Mission-Critical-Communication Networks and Deployment; Network Resilience and Optimisation; Management, Operation, and Security of the Communication Network; and Future Trends in Critical Communications. Mention will be given to deployment strategies and real-world applications of land-mobile radio in emergency communications, including propagation studies on the effects of wildfires in radio communications recently conducted by the authors.
Malaria: Epidemiology, Life Cycle of Parasite, Control Strategies and Potential Drug Screening Techniques
Authors: Nkrumah Desmond , Isaac Nketia Reinhard , Kofi Turkson Bernard , Komlaga Gustav
Published: November 2024

Malaria is an acute infection caused by the Plasmodium parasites, namely, P. falciparum, P. ovale., P. vivax, P. malariae, and P. knowlesii, in humans. The disease is spread through the bite of a mosquito carrying the parasite, which typically bites at night and lives at elevations lower than 1500 meters. Symptoms of the disease include fever, general body weakness and pains, headache, shivering, and vomiting among others which start manifesting about 6–9 days after a mosquito carrying the parasite bites a person. Africa, Eastern Europe, Asia, Central and South America, and the South Pacific are among the regions where malaria is transmitted. There has not been any malaria in Europe since 2015. The strategies used for malaria control include vector (mosquito) control, the use of insecticide treated nets, indoor residual spraying, and the use of antimalarial drugs and vaccines among others. The screening of potential antimalarial drugs usually employs in vitro and in vivo assays which evaluates the levels of parasitaemia following infection and drug treatment. The in vitro assays include Schizont counting on thick films, DNA dye intercalation assays, isotopic assays, and quantification of parasite proteins. The in vivo assays include the Peter’s four-day suppressive and Rane’s curative assays.
Eigen-Analysis of Multi-Agent Systems and Large Scale Systems Using Data Driven and Machine Learning Algorithms
Authors: McDonald Kenneth , Qu Zhihua , Gusrialdi Azwirman
Published: November 2024

Eigenvalue analysis is central in stability analysis and control design of linear dynamic systems. While eigen-analysis is a standard tool, determining eigenvalues of multi-agent systems and/or interconnected dynamical systems remains challenging due to the sheer size of such systems, changes of their topology, and limited information about subsystems’ dynamics. In this chapter, a set of scalable, data-driven estimation and machine learning algorithms are presented to determine eigenvalue(s) and in turn stability of such large-scale complex systems. We begin with distributed algorithms that estimate all the eigenvalues of multi-agent cooperative systems, where their subsystems are modeled as a single integrator and interconnected by local communication networks. The algorithms are then extended to the data-driven version that estimate the dominant eigenvalues of large-scale interconnected systems with unknown dynamical model. Subsequently, we study input-output stability of subsystems and extend eigen-analysis to investigation of passivity shortage using the input-output data. This analysis is then further extended to machine learning algorithms by which stability properties of unknown subsystems can be learned. These results are illustrated by examples.
New Management Techniques for Increasing the Efficiency and Production Rates of the Natural Grazing Land and the Grazing Herds and Fed Herds, and their Effect on Reducing Global Warming
Authors: Brosh Arieh , Asher Aviv
Published: November 2024

The full potential for pasture and grazing animal production worldwide is not realized. Efficient herd management must address the mutual interaction between the pasture and the herd’s needs. Cattle grazing’ activities, forage availability, and cattle’s heat production (HP) measurements can be used to calculate the grazing herd’s energy-balance metrics and the actual consumed forage quality and can identify health and reproduction events. The forage availability index corrects the effect of a shortage of forage biomass. Direct individual HP and energy-performance measurements of grazing and confined cattle enable ranking them according to their efficiency. The methods for such measurements are available for managing grazing herds and their lands. A sample of animals can be used to characterize herds’ energy status and grazing land. Selecting grazing and confined cattle for improved efficiency and optimization of grazing land management will increase annual forage production and soil organic matter content (soil quality). As a result, the number of heads of cattle and their production per unit area will significantly increase, and greenhouse gas emissions relative to cattle production rate will decrease. Although the technologies for measuring cattle’s HP and activities are mainly commercially available, coordination between manufacturers is required.
Synergies between Integrated Project Delivery and Big Open BIM
Authors: Krause Daniel , Szargan Claudia , Zuluaga Maria
Published: November 2024

The “Neues Werk Cottbus” project is Germany’s first major initiative to apply the new Integrated Project Delivery (IPD) contract model in combination with BIM methodology. The project alliance, consisting of the client, designers, and construction companies, provides optimal conditions for implementing an innovative, interdisciplinary Big Open BIM approach from the outset. The main objective was to develop a versatile, project-wide Project Information System (PIS) compatible with various software systems. This PIS supports over 20 BIM use cases, ranging from designing the maintenance facility and assembly planning to construction execution and building operation. This comprehensive approach ensures consistent generation, use, and updating project data throughout the entire building lifecycle without redundancies. Multidisciplinary collaboration has proven extremely valuable during design and construction. Notable benefits include greater transparency in model-based planning and meetings, measurable process improvements through detailed 4D scheduling simulations, more precise target price and cost management using model data, and significant efficiency gains through cloud-based, workflow-oriented collaboration. By implementing open BIM process standards and data formats, the project demonstrates how IPD and Open BIM methodologies reinforce each other, enabling seamless interdisciplinary collaboration. This project sets a benchmark for digital construction and lifecycle-oriented project management in Germany.
Phytochemicals: Potential Drug Candidates for Leishmaniasis
Authors: Gürbüz Çolak Nergiz
Published: November 2024

Leishmaniasis is a neglected tropical disease with three main clinical manifestations. This disease is caused by protozoan parasites that are transmitted through the bite of female sandflies. Each year, more than one million cases of leishmaniasis are reported, and over one billion people are at risk of contacting the disease. Leishmaniasis is a complex disease that relapses when the immune system is suppressed. The currently available antileishmanial drugs have serious side effects. Therefore, it is important to identify novel drug candidates for leishmaniasis treatment. Phytochemicals are promising drug candidates because of their wide chemical diversity and bioavailability. This chapter provides an overview of leishmaniasis and highlights the phytochemicals that can be used to treat the disease.
Advancements of Nanomaterials for Diagnostic Imaging, Radiotherapy and Nuclear Medicine
Authors: Getachew Mengesha Wubshet , Sisay Mekonnen Cherie , Fisehaw Tesfaw Ambaye
Published: November 2024

Among the main purposes in the medical industry for prevention, diagnosis, and treatment of diseases are controlling radiation doze using a state-of-the-art medical technology, and optimizing image quality. The study of radiation properties and their effect and interaction, medical imaging analysis, and nuclear medicine offer unwavering interest. Nanomaterials play a key role in the innovation, design, and development of medical technologies in health care by testing, implementation, and, development of new diagnostic and medical equipment. Because of their unique characteristics and properties, they have become the most chooseable and multipurpose devices in the medical industry. They have grasped and gained considerable attention and offer unwavering interest due to their wide extent of technological applications, especially in the medical sector. Nanomaterials have been playing a significant role in the medical sector in the production of medical devices and bone and joint replacement biosensors for replacing damaged organs, correcting abnormalities, and thus improving the quality of life of patients. In this paper, we have attempted to highlight the applications and important progress achieved by nanomaterials to give a comprehensive understanding of various medical techniques with radiation principles, medical imaging, radiotherapy, and nuclear medicine. Finally, the challenges and future trends for the development and design of safe nanomaterial for medical technology and applications have been suggested.
The Relationship between Gender and Socioeconomic Outcomes: Evidence from the Maltese Islands
Authors: Duca Shania , Spiteri Jonathan
Published: November 2024

This chapter analyzes the existence and magnitude of gender disparities across several important socioeconomic outcomes, namely income, employment, health status, life satisfaction, financial satisfaction, and job satisfaction. We utilize detailed, individual-level data from the Maltese Islands using the European Union’s Survey on Income and Living Conditions (EU-SILC), which enables us to control for several observable variables as well as unobservable, individual-level factors to isolate the relationship between gender and the various socioeconomic outcomes assessed in this chapter. The results show a statistically significant link between gender and income, employment, health status, and job satisfaction, with female respondents on average being worse off in each instance relative to their male counterparts. By contrast, we find no evidence of a gender gap in relation to life and financial satisfaction in our sample. We discuss these findings in light of the growing interdisciplinary literature on the implications of such gender disparities on individual and societal outcomes, together with relevant policy initiatives that should seek to address these gaps.
Catalysis 4.0: A framework for integrating machine learning and material science in catalyst developmentpna
Authors: Matluck Ayomide Afolabi  , Henry Chukwuemeka  , Olisakwe  , Thompson Odion Igunma
Published: November 2024

This paper introduces Catalysis 4.0, a comprehensive framework for leveraging artificial intelligence (AI) and machine learning (ML) in the development of catalytic materials. The framework is structured around three key components: data-driven material discovery, virtual testing environments, and adaptive feedback loops. Data-driven material discovery utilizes AI algorithms to predict catalytic performance based on extensive material properties and high-quality datasets. Virtual testing environments provide simulation platforms to evaluate catalyst efficiency under various industrial conditions. This significantly reduces traditional experimentation time and costs. Adaptive feedback loops integrate real-time industrial data, enabling continuous refinement and improvement of AI models. This approach accelerates the catalyst development cycle, enhancing efficiency and reliability. The paper discusses the potential impact of this framework on industries such as refining and pharmaceutical manufacturing, where AI-driven catalyst design can enhance performance and reduce costs. Future directions for research include improving data collection techniques, developing sophisticated AI algorithms, and fostering interdisciplinary collaboration. The framework's implementation can revolutionize catalyst development, driving innovation and sustainability in critical industrial sectors.
Improving Students' Mathematical Spatial Ability in the Spatial Geometry Course Using GeoGebra
Authors: Izzati Nurma , Widyastuti Widyastuti , Nurhadiansyah Nurhadiansyah
Published: November 2024

This study aims to determine students' responses to the use of GeoGebra in spatial geometry courses and to determine the difference in significant improvement between the spatial mathematical ability of students taught using GeoGebra and those of students taught conventionally. The design of this study is counterbalanced. The research population is all Mathematics Tadris UIN Siber Syekh Nurjati Cirebon students who take the spatial geometry course in the odd semester of the 2024/2025 Academic Year, which consists of 3 classes: A, B, and C. For the research sample, two classes were selected from the research population, class A was selected as experimental class 1, consisting of 25 students, and class B as experimental class 2, consisting of 28 students. The sample was selected using a cluster random sampling technique. The research instruments are questionnaires and tests. Data analysis was carried out on the average results of students' spatial mathematical ability tests in the spatial geometry course. The results of the study showed that most students gave a positive response to the use of GeoGebra in spatial geometry courses, with an average percentage of 93.51%, including the strong category and the increase in the spatial mathematical ability of students who used GeoGebra in the spatial geometry course was significantly higher than the improvement of the spatial ability of students who were taught conventionally.
Pengaruh The Big Five Personality terhadap Suicide Ideation pada Emerging Adulthood
Authors: Rahmawati Febby Ineza , Nurmina Nurmina
Published: November 2024

This study aimed to investigate the extent to which the Big Five Personality traits influence suicidal ideation in individuals transitioning into emerging adulthood. A quantitative approach was employed, with a purposive sample of 100 individuals aged 18-25 who had experienced suicidal ideation. Two primary instruments were utilized: the IPIP-BFM-50 scale to measure participants' personality traits on the five dimensions, and the Beck Scale for Suicide Ideation to assess the frequency and intensity of suicidal thoughts. Multiple linear regression analysis was conducted to analyze the data. Results indicated that of the five personality dimensions, only Neuroticism demonstrated a significant relationship with suicide ideation. Specifically, higher scores on the Neuroticism dimension were associated with a greater likelihood of experiencing suicidal thoughts.
İZOLE MEDİAL KÜNEİFORM KIRIĞINDA KÖPRÜ PLAKLAMA (OLGU SUNUMU VE TEKNİK NOT)
Authors: Mirza Canberk
Published: November 2024

Özet
Amaç: İzole medial küneiform kırığı oldukça nadir görülen bir olgudur. Literatürde konservatif veya vida tespiti ile tedavi edilen olgular mevcuttur. Ancak parçalı kırıklar, özellikle çoklu eklem yüzü içerdikleri için, posttravmatik artroz ve ağrı açısından kötü prognoza sahiptirler. Bu olgu sunumunda, parçalı medial küneiform kırığı tedavisinde köprü plaklama tekniği kullanılarak elde edilen sonuçlar sunulmaktadır.
Olgu: 19 yaşında erkek hasta, araç dışı trafik kazası sonrası sağ ayakta medial küneiform çok parçalı kırık ve 2. metatars bazisinde nondeplase kırıkla başvurdu. Açık redüksiyon ve köprü plaklama ile tedavi edildi. 1 yıllık takipte hastada minimal semptomlar mevcuttu ve posttravmatik artroz bulgusu izlenmedi.
Sonuç: Parçalı medial küneiform kırıklarının cerrahi tedavisinde geçici köprü plaklama etkili bir yöntem olabilir. Ancak yük taşıyan bölgelerde implant yetmezliği göz önünde bulundurulmalı ve erken çıkarılması planlanmalıdır.
NEUROCIÊNCIAS E DESENVOLVIMENTO COGNITIVO: UMA PRÁTICA SIGNIFICATIVA DE APRENDIZAGEM NO PROCESSO DE ALFABETIZAÇÃO
Authors: Gomes Martha Luciene Rocha
Published: November 2024

O objetivo deste estudo é analisar as contribuições da Neurociências no processo de alfabetização e letramento. Identificando como as crianças aprendem a ler, considerando que essa não é uma tarefa natural. É nesse sentido que se apresenta esta investigação com a seguinte pergunta de pesquisa: Crianças pré-escolares estão maduras o suficiente para aprender a ler? Vale ressaltar que aprendizagem da leitura envolve vários processos visuais, fonológicos, semânticos e linguísticos, ativando diversas partes do cérebro da criança. Esse estudo foi desenvolvido a partir de ampla revisão da literatura nacional e internacional realizada por meio de pesquisa bibliográfica nas seguintes bases de dados: Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes), Google Acadêmico, SciELO (Scientific Electronic Library Online), priorizando as publicações mais recentes disponibilizadas no período 2010-2022. Foram selecionados artigos de revisão, artigos originais, livros, capítulos de livros e teses. Foram consultadas também obras de autores reconhecidos nos campos da Neurociência, da Educação e da Neurociência Educacional e estudos realizados por organizações nacionais e internacionais O desenvolvimento do mesmo se deu pela busca e discussão desses artigos que trouxessem contribuições da neurociência acerca do processo de aprendizagem da leitura na fase da alfabetização no contexto escolar. A partir da análise dos mesmos, constatou-se que Neurociências indicam que a criatividade depende da atividade integrada de distintas redes neurais relacionadas à cognição e à emoção. Isso significa que as habilidades cognitivas, por si só, não garantem o pensamento e a expressão da criatividade na aprendizagem.
Retail Investor Protection in the Age of Digital Trading: Regulatory Challenges and Solutions
Authors: Kozimov Nizomiddin
Published: November 2024

The research analyzes the regulatory challenges posed by these platforms and to develop effective solutions. The study examines existing regulatory frameworks, such as the Dodd-Frank Act, MiFID II, and the Commodity Exchange Act, as well as market data on trading behaviors and feedback from retail investors and regulatory bodies. Key findings include the identification of significant regulatory gaps, particularly in the areas of anti- money laundering (AML) and know-your-customer (KYC) requirements, and the lack of clarity in the classification of digital assets as securities or commodities. The significance of these findings lies in their implications for enhancing investor protection and market stability. The broader implications suggest that a more integrated and technology-driven regulatory framework could enhance transparency, prevent market manipulations, and ensure a level playing field for all market participants. This research contributes to the ongoing discourse on digital asset regulation to safeguard retail investors in the digital trading era.
YIELD AND YIELD ATTRIBUTES AS INFLUENCES OF SOYBEAN (GLYCINE MAX L.) AND IRRIGATION REGIMES
Authors:   1Department of Agronomy, Hajee Mohammad Danesh Science and Technology University Dinajpur, Bangladesh, Naher Most. Nazmun , Sultana Mst. Sadia ,   1Department of Agronomy, Hajee Mohammad Danesh Science and Technology University Dinajpur, Bangladesh, Sikdar Md. Shafiqul Islam ,   1Department of Agronomy, Hajee Mohammad Danesh Science and Technology University Dinajpur, Bangladesh
Published: November 2024

The research was conducted in the Agronomy Research Field of Hajee Mohammad Danesh Science and Technology University, Dinajpur, during the Rabi season. The experiment consists of two factors: factor A. V1= Binasoybean-1, V2= Binasoybean-2, V3= Binasoybean-3, V4= Binasoybean-4. Factor B. Irrigation: I0 = Rainfed (No Irrigation), I1 = One Irrigation, I2 = Two Irrigation. The experiment used a randomized complete block design (RCBD) with three replications. The maximum parameters, except for a few parameters related to growth, yield contribution, and yield, were significantly influenced by individual factor and their interactions. The interaction of variety and irrigation level V1I2 (binasoybean-1 and two irrigation events) resulted in the highest branch plant-1 (20.93), pod plant-1 (32.38), pod length (3.65 cm), seed pod-1 (3.89), 1000-seed weight (150.61 g), seed yield (2.24 t ha-1), and stover yield (3.23 t ha-1) among all the treatment combinations. The results of this study indicated that the four varieties presented marked variations in terms of plant growth characteristics and yield under water stress conditions. The variety Binasoybean-1 was relatively more water stress tolerant than the other varieties in respect to morphological adaptations associated with yield attributes and grain yield.
THE IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON FINANCIAL STABILITY AND FINANCIAL INCLUSION IN THE BANKING SECTOR OF BANGLADESH
Authors:   Department of  Finance and Banking, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Aktar Mahbuba , Zabin Sakila ,   Department of  Finance and Banking, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Published: November 2024

The crucial point of this study is to check out how corporate social responsibility (CSR) affects the financial situation, including in Bangladesh's banks. We used data from 20 commercial banks in Bangladesh from 2015 to 2019 for this research. What we found was that banks putting lots of money into CSR tend to have positive relations with customers, which leads to fewer financial problems and stronger money situations. Besides, we detected that increased bank involvement in CSR encourages inclusion in the financial system. This shows up in things like having more branches and ATMs. These results offer beneficial suggestions for banks and people making rules in Bangladesh to come up more robust plans that assist good inclusion and stability in the financial sector.
IMPACT OF CLIMATIC VARIABLES ON THREE MAJOR FIELD CROPS IN CHAR AREAS OF LALMONIRHAT DISTRICT
Authors:   Department of Economics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Lutfunnahar Mst , Hoque A.T.M Rezaul ,   Department of Economics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Mashuk Md.Farhan ,   Department of Economics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Angona A N H ,   Faculty of Fine Arts, University of Dhaka, Islam Md.Hasibul ,   Department of Economics, Hajee Mohammad Danesh Science and Technology University, Dinajpur
Published: November 2024

An agro-climatic study was conducted at the charland areas of Lalmonirhat district considering 25 years of climatic data (i.e., temperature, humidity, rainfall) to observe the climatic variability and their impact on the productivity of three crops such as Boro, Jute and Wheat. Production of all the three crops was found as increasing trend. In Boro season, the production increased by 0.057 ton per hectare per year and the yield trend coefficient was 0.021. Jute production increased by 0.029 ton per hectare and the yield trend coefficient was 0.023 and Wheat production increased by 0.067 ton per hectare and the yield trend coefficient was 0.023 in each year, respectively. The changes of rainfall were lower over the seasons and followed increasing trend. The rainfall in Boro, Jute and Wheat season were increased by 18.62 mm, 13.15 mm and 14 mm in each year, respectively. The average maximum temperature increased by 0.059, 0.074 and 0.064°C in Boro, Jute, Wheat season, respectively. In Boro season, average humidity increased by 21% each year and it increased by 17% in Wheat season in each year. On the other hand, average humidity decreased by 2.1% in Jute season. The influences of climatic variables in the production of the crops are varied. Humidity has influence on seasonal Boro production whereas temperature and rainfall didn’t influence the production. Temperature has influences on both Jute and Wheat production. From correlation analysis, it was revealed that average humidity has considerable influence on seasonal Boro production than all other crops. However, most of the time the production showed increasing trend with some exceptions. The study recommends some essential climate adaptation policy which the government and policy makers may consider to address the challenges that farmers are likely to face as a result of climate change Again, local adaptation practices should be examined, the role of institutional support should be highlighted and national adaptation strategies and resilience should be strengthened.
BOOSTING HEART ATTACK PREDICTION PERFORMANCE: AN ENSEMBLE LEARNING PERSPECTIVE
Authors:   Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Hassan Md. Ziaul , Islam Md. Samsul ,   Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Noman Arham Aziz ,   Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, Hamja Md. Amir ,   Department of Statistics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh
Published: November 2024

A cardiovascular event, commonly known as a heart attack, occurs when the blood flow to the heart muscle is abruptly obstructed. Medical research suggests that lifestyle choices primarily contribute to this cardiac issue. Additionally, various crucial factors serve as indicators, signaling whether an individual is at risk or not of experiencing a heart attack. This study aims to predict heart attack based on various Machine Learning (ML) algorithms and proposes an ensemble learning that can best predict heart attack than other models. Additionally provides the top features influencing to have heart attack. The dataset is collected from Kaggle, that contains 14 related features with heart attack. Several ML models including Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF), AdaBoost, Gradient Boosting Classifier (GBC) are utilized individually and by combining them four stacking ensemble model are created. Then the trained models are compared based on various metrices such as, accuracy, precision, recall, F1-score, and AUC values. Among the individual models RF, KNN, and LR proved best on the performance measures with accuracy 0.85 for these three. Overall, Stacking Ensemble 1 and Stacking Ensemble 3 outperformed others by achieving accuracy of 0.89 and AUC of 0.88 and leads to conclude that both are equally best. The feature importance reveals exang as the most critical factor contributes to heart attack followed by cp, ca, thal, and sex of the individuals.
Creating shared value for economic empowerment of the NEET population in Serbia
Authors: Bulatović Gordana
Published: November 2024

The paper explores the possibilities for applying the concept of shared value creation in order to reduce the high rate of NEET population in Serbia. This paper analyzes key characteristics of Serbia's NEET youth who are not in education or employment and the challenges they face. Examples of successful cooperation between business, education, and civil society in other countries are considered. Measures such as creating new jobs and training programs tailored to the NEET population are proposed in order to achieve benefits for individuals, the economy, and society. The paper aims to provide recommendations tailored to Serbia, based on a review of literature and case studies.
Improving the mechanical characteristics of environmentally friendly concrete using fly ash and brick powder as partial sand replacements
Authors: Filali Saloua , Nasser Abdelkader , Azougay Abdellah
Published: November 2024

Infrastructure and urbanization drive the demand for concrete, which puts pressure on natural resources and jeopardizes the ecosystem. Incorporating recycled materials into concrete can fulfill this demand without sacrificing quality. This study examines the mechanical properties of sustainable concrete, employing fly ash (FA) and brick powder as substitutes for sand in fine aggregates. We evaluated rebound hammer strength, ultrasonic pulse velocity (UPV), workability, compressive strength, and split tensile strength using both destructive and non-destructive assessment methods, comparing them to conventional concrete. Concrete mixtures were developed by substituting 10% of natural sand with brick powder and gradually replacing the remaining sand with fly ash at 10% to 50%. The results clearly show that the best mix of 10% brick powder and 40% fly ash increases compressive strength by 64.81%, split tensile strength by 17.78%, and workability by 48%. The identical mixture yields a notable enhancement in ultrasonic pulse velocity (UPV) of 33.15%, achieving a velocity of 4.9 km/s, and a 32.05% increase in rebound number, resulting in a rebound index of 44.92. A regression analysis indicated a significant correlation among compressive strength, UPV, and rebound index. The combination of 10% brick powder and 40% fly ash results in enhanced mechanical performance, reduced costs, and supports sustainable construction practices.
Geoheritage and geotourism potential of the municipality of Rožaje (northeastern Montenegro)
Authors: Brđanin Eldin
Published: November 2024

Rožaje is a municipality in the north-eastern part of Montenegro. The municipality covers an area of 432 km2 . According to the data of the last census, which was conducted in 2023. 25.247 inhabitants live in this Montenegrin municipality. There are a large number of geolocations in Rožaje that have great potential for the development of geotourism. The aim of this work is to make an inventory of geoheritage objects and their possible valorisation and geoconservation for the development of geotourism in this area. In addition, one of the objectives is to assess various geolocations in the municipality of Rožaje using the GAM (Geosite Assessment Model) and determine whether this area has the potential for geotourism development in the future. The paper proposes representative geolocations of this area that can form an excellent basis for the development of geotourism. The geolocations selected for this study are Musas Pit, Ćirko Cave, Grlja Waterfall, meanders with looping arches in the Ibar River canyon, Grope Cauldron on Hajla Mountain, limestone ridges in the Ganića Karst, Bukovica River canyon, Prvotunelska Cave, Vrelo Ibra Spring and Rujište Marshes. The GAM model will be used to determine which geolocations are suitable for the development of geotourism. In addition, measures for the preservation of geolocations and their geoconservation will be proposed. In other words, it will discuss how the development of tourism in the area can be successfully managed and sustainably planned. Natural resources are the main motive for tourist flows in the area.
High school students' attitudes towards geography: An indicator of the need for innovative approaches in geography teaching
Authors: Vuletić Jovana , Miletić Milan
Published: November 2024

The importance of geography lessons lies in the fact that we learn something about the space in which we live, which is important for all people regardless of their interests. A student's interest in a subject and thus the acquisition of its content depends on the student's attitude towards the subject. For this reason, this study examines the attitudes of secondary school students towards the subject of geography, which differ in terms of their subject of study, their favourite subject and the faculty in which they would like to enrol. The data collected with the questionnaire was processed with the statistical software SPSS 26.0. The neutral attitude of the students towards geography as a subject indicates that geography teaching needs to be modernised and carried out using modern teaching methods. The application of teaching innovations in geography lessons would contribute to greater student interest in geographical content and thus to better student performance in this subject.
Practical exploration of the impact of practicing fitness Qigong on the mental health of college students
Authors: Zhang Huiping , Zagdkhorol Bayasgalan Hamdy
Published: November 2024

Fitness Qigong is an important part of Chinese history and culture, and is one of the traditional intangible cultural heritage projects. In recent years, the mental health issues of college students have become a focus of attention in universities. Fitness Qigong is different from other sports programs in that it emphasizes the combination of movement and stillness, as well as the process of regulating the mind. It helps to improve the pressure brought by life, study, employment, and other aspects, and is one of the important means to promote the mental health and regulate emotions of college students. Therefore, it is very necessary to continue and promote this traditional sports project. The main research subjects are ordinary female college students, and data was collected using questionnaire survey and experimental methods. The questionnaire tool used was the Symptom Checklist-90, and the data was analyzed using mathematical statistics. The results show that college students can significantly improve and enhance their mental health by learning and practicing fitness qigong, which can eliminate tense emotions and reduce psychological pressure; Learning and practicing fitness qigong has effectively improved the psychological quality of college students. Based on this, it is suggested that ordinary higher education institutions should attach importance to the development of traditional fitness qigong sports; Ordinary higher education institutions need to expand the teaching staff for the fitness qigong program; Physical education teachers should promote and popularize fitness qigong courses.
فاعلية برنامج قائم على التعلم النشط في تنمية مهارات الكتابة الإبداعية لدى طلاب الصف الأول الثانوي بمحافظة صنعاء
Authors: الشحري حــسين حـــسين أحمد , خاقو محمد حسين محمد
Published: November 2024

تهدف الدراسة إلى بناء برنامج قائم على التعلم النشط وقياس فاعليته في تنمية مهارات الكتابة الإبداعية لدى طلبة الصف الأول الثانوي بمحافظة صنعاء، استخدمت الدراسة التصميم شبه التجريبي لمجموعتين تجريبية وضابطة، ولتحقيق هدف الدراسة أعد الباحث قائمة بمهارات الكتابة الإبداعية المناسبة لطلبة الصف الأول الثانوي، وتم بناء اختبار لقياس مهارات الكتابة الإبداعية، كما قام الباحث ببناء برنامج قائم على التعلم النشط تكون من الكتاب المدرسي ودليل المعلم وفقا لاستراتيجية الرؤوس المرقمة، وتكونت عينة الدراسة من (60) طالبا، اختيرت بطريقة قصدية ميسرة وموزعة على مجموعتين، إحداهما ضابطة بلغ عددها 30)) طالبا، درست بالطريقة التقليدية في مدرسة الشهيد الجحدري الثانوية التابعة لمديرية الحصن، والأخرى تجريبية، بلغ عددها (30) طالبا، درست باستخدام استراتيجية الرؤوس المرقمة في مدرسة الشهيد الصماد الثانوية التابعة لمديرية الحصن، و خضع جميع أفراد عينة الدراسة لاختبار قبلي واختبار بعدي لمهارات الكتابة الإبداعية.
كشفت نتائج الدراسة عن وجود فرق دال إحصائيا عند مستوى دلالة 0.05)) بين متوسطي درجات المجموعتين التجريبية والضابطة في التطبيق البعدي لاختبار الكتابة الإبداعية لصالح المجموعة التجريبية، وقد أوصت الدراسة بضرورة تدريب معلمي اللغة العربية بالمرحلة الثانوية على استخدام استراتيجية الرؤوس المرقمة في التعامل مع مهارات اللغة العربية، وبتطبيق هذه الدراسة على صفوف دراسية أخرى بالمرحلة الثانوية.
Fraud Detection in IoT Environment Based on Machine Learning Approaches
Authors: A. El_Rahman Sahar , Saleh Alluhaidan Ala , Marzouk Radwa
Published: November 2024

One of today`s most quickly developing technologies is the Internet of Things (IoT). There are now more threats and risks to its security than ever before. In order to tackle present and future IoT issues, machine learning is an effective technology that can be used to identify risks and threats in intelligent systems. In today’s world, credit card is the most popular payment mode for both online and offline. Consumers rely on online shopping and online bill payment, which cases of fraud associated with it are also increasing. With the developments in the communication channels, fraud is spreading all over the world resulting in huge financial losses. Fraud detection is the essential tool and probably the best way to stop fraud types. There is a technique of finding an optimal solution for a problem and implicitly generate the results using machine learning and genetic algorithm. The aim is to develop a model to detect fraudulent transactions and improves a credit card fraud detection solution with some machine learning algorithms such as GA, DT, LR, KNN, SVC, and ANN based on the RUST and SMOTE techniques. The experiments are conducted on the BCCFDD and DCCCD datasets to analyze the model using the dimension reduction transformers (T-SNE, PCA, and Truncated SVD). The performance of the classification model analyzed in terms of confusion matrix, the model ROC curve analysis, and accuracy. The evaluation finding is analyzed and compared. As proof of concept, a Credit Card Fraud Detection System (CCFDS) is developed to detect the credit card fraud based on the principles of the GA and showed the effectiveness of proposed approach. This algorithm is an optimization technique and evolutionary search based on the principles of genetic and natural selection, heuristic used to solve high complexity computational problems.
The Evolutionary Characteristics and Risk Response of Online Public Opinion in the Artificial Intelligence Era
Authors: Zhang Xuesen , Huang Zhanghengmo
Published: November 2024

以大数据、算法推荐、机器学习为核心的人工智能技术的迅速发展，深刻改变着网络舆情的生成模式和传播机制，使得网络舆情的主体、客体、内容、传播过程都发生了深刻的变化，并呈现出新的特点和趋势。一方面，人工智能技术的迅猛发展为网络舆情治理工作带来了前所未有的机遇;另一方面，人工智能技术产生的算法歧视、舆论操控、隐私泄漏等诸多风险，给网络舆情治理工作带来了巨大挑战。深入分析智能时代网络舆情的嬗变特点，并提出相应的治理之策，是应对这些风险挑战的关键所在。
Research on the Logic and Path of Public Capital Steadily Promoting Common Prosperity
Authors: Chen Wenlong
Published: November 2024

所有制要在一定的生产方式中实现，公有制是共同富裕的根本制度基础，但不能直接实现而要依托一定生产方式间接实现共同富裕，在社会主义市场经济条件下，则要依托公有资本实现自身目的。公有资本的积极作用在于其内在属性，内因是事物发展的决定性力量。以公有制为基础的特殊资本公有资本不仅具有资本的一般性即增殖性，而且具有区别于私有资本的公有属性。在二重属性驱使下，公有资本推动社会生产力充分均衡协调发展、收益公平分配，扎实推进共同富裕。内因通过外因发生作用，公有资本内在属性发挥作用所需外部条件受限导致发展不充分不均衡、收入分配差距拉大，影响共同富裕扎实推进。为此，建立完善的市场体系、独立的公有资本人格化代表、均衡的考核体系是保证公有资本扎实推进共同富裕的制度优势转化为现实经济优势的关键。