bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovative research of comprehensive practice classroom teaching of Chinese reading
Authors: Chen Chen , Li Xu
Published: September 2024

The innovative research of comprehensive practical classroom teaching of Chinese reading shows that teachers should pay attention to cultivating students 'interest in reading in the teaching process, improve their information screening and integration ability, and introduce diversified teaching strategies to stimulate students' learning initiative and creative thinking. Through the continuous innovation of teaching methods, we can enrich the reading practice activities, and provide students with a broader space for exploration and thinking. Classroom teaching is an important link in the field of education, and it has a key influence on students' learning effect and development. With the rapid change of society and the reform of education system, the traditional classroom teaching model faces many challenges. Therefore, it is of great theoretical and practical significance to study the innovation of comprehensive practical classroom teaching of Chinese reading and improve the teaching effect. First of all, the innovation of the comprehensive practical classroom teaching can promote the improvement of the quality of Chinese education. Through the exploration and application of the comprehensive practice innovation strategy of different Chinese reading, it can better meet students' learning needs, stimulate their interest and initiative in learning Chinese, and improve the effect and quality of Chinese learning. Secondly, the innovation of comprehensive practical classroom teaching of Chinese reading can promote the professional development of Chinese teachers. Teachers are the main implementers and organizers of classroom teaching, and their teaching ability and level are directly related to the quality and effect of classroom teaching. Studying the practical innovation of classroom teaching can help teachers to continuously improve their teaching ideas, teaching methods and teaching skills, and improve their professional quality and teaching level. In addition, the innovation of studying the comprehensive practical classroom teaching of Chinese reading can also promote the in-depth progress of educational reform. Education reform needs to learn from and introduce new educational ideas, teaching methods and teaching means, and all of these need to be verified and implemented through practical innovation. By studying the innovation of comprehensive practical classroom teaching of Chinese reading, it can provide practical experience and theoretical support for the promotion of educational reform.
Energy Efficient Secured PSO Optimized Clustering and Data Aggregation Routing Protocol for Wireless Sensor Networks
Authors: K Yesodha , M Krishnamurthy , M Selvi , K Thangaramya , SVN Santhosh Kumar , Arputharaj Kannan
Published: September 2024

In Wireless Sensor Networks (WSNs), sensor nodes are placed to sense and collect data.  Due to the energy constraint nature of WSN, optimising the energy during the data dissemination is a major concern. To solve this problem, data aggregation may be used to bring down the redundant transmission of packets in WSN. In most of the previously available techniques, security is also a major concern during data aggregation and routing process with optimized energy.  Many data aggregation-based routing systems are subject to security attacks during the data transfer from sensors to source to Clustered Heads (CHs) and then to sink with data aggregation process. Moreover, the existing data aggregation-based routing protocols suffer from data redundancy with less accuracy in aggregated data. For handling such issues order to overcome these issues, an Energy Efficient Secured Clustered Particle Swarm Optimization (PSO) oriented Data Aggregation Routing Protocol (EESCPSO-DARP) that can provide efficient authentication during data aggregation-based routing is introduced in this paper.  Moreover, the proposed protocol enhances the rate of the data transmission by efficient prevention of false data injection and other attacks through node authentication and data encryption. This proposed protocol minimizes the energy usage by minimizing the retransmissions by eliminating the possible redundant transmissions of data during data aggregation-based routing. Moreover, the introduced protocol minimizes both communication and computational overhead through optimal clustering and routing with PSO and provides and efficient routing system. This proposed EESCPSO-DARP protocol has been developed by using the NS3 simulator. The results of this protocol showed improved security, higher packet delivery ratio and enhanced network throughput with reduced energy and delay.
Dance Education in Promoting Children's Sociality and Study on the Role and Mechanism of Emotion Development
Authors: Liu Mengni
Published: September 2024

As a unique form of education, dance education has a significant impact on children's social and emotional development. Through dance activities, while enjoying the charm of art, children can learn social rules and emotional expression through body language and collective interaction, thus enhancing social communication ability and emotional regulation ability. Dance education not only improves children's physical coordination and creativity, but also promotes the cultivation of empathy and the development of self-cognition through non-verbal emotional communication. This study deeply discusses the mechanism of dance education in children's social and emotional development, and provides a valuable reference for preschool education practice.
Research on the inheritance and development of folk performances of Jimo Tianheng Sea Festival from the perspective of intangible cultural heritage
Authors: Xu Xiaomeng , Ren Xue
Published: September 2024

As my country’s precious intangible cultural heritage, the Tianheng Sea Festival carries profound historical and cultural connotations. This festival is not only the most influential sea worship activity in the northern region, but also embodies thousands of years of fishermen culture and folk traditions, demonstrating its extraordinary cultural, research and practical value. In order to strengthen the protection of Qingdao's local intangible cultural heritage, this article conducts an in-depth discussion of the folk performances of the Jimo Tianheng Sea Festival from the perspective of intangible cultural heritage, aiming to promote its inheritance and innovation.
 This study first reviews the long historical background of Tianheng Sea Festival and explores its inheritance and development in modern society. At the same time, in view of the protection significance of folk performances, this article analyzes various innovative practices involved in the existing inheritance work, and puts forward a series of constructive suggestions on this basis. In the inheritance process of contemporary folk performances, incorporating new elements has become an indispensable part.
 This not only enriches the performance form, but also makes it more attractive, giving more people the opportunity to participate, experience and perceive the unique charm of intangible cultural heritage. Through this method, we can better protect and inherit our country's excellent traditional culture and ensure that it will radiate new vitality and vitality in the new era.
THE PRE-WELL POTENTIAL AND CENTRAL WELL WİDTH EFFECTS ON A RESONANT TUNNELLING DIODE UNDER LASER FIELD
Authors: KES Hulya
Published: September 2024

A resonant tunneling diode, GaAs/In xGa 1-x As/Aly Ga 1-y As/GaAs/Al0.3Ga 0.7As/GaAs was studied under laser field. The effect of the pre-well potential In x Ga 1-x As on the current voltage characteristics was examined depending on the indium concentration. It has been observed that the current-voltage characteristic exhibits a critical value if the depth of the pre-well increased by increasing indium concentration. The electrons are accelerated for shallow pre-wells before that critical value and decelerated for deeper pre-wells than that of the critical value potential. In addition, the current is decreased increasing the width of the GaAs central well. The performance of the devices can be changed by applying a laser field when the geometric parameters are adjusted in resonant tunneling diodes.
APPLICATION OF ABC ANALYSIS TO THE COMPANY'S PRODUCTION PROGRAM: A CASE STUDY
Authors: Ćurčić Jasmina , Vesković Milan , Nešić Zoran , Gaborović Andrijana , Plašić Jelena
Published: September 2024

In this research paper, the topic of the production program will be discussed and the representatives of the production program will be presented, which were obtained on the basis of the ABC analysis, as well as the basic characteristics of the production company "Jugoplast", the way of organization of the company as a system, production and production program, respectively product specifications by types and quantities with their sales prices for the period from 2021 to 2023. In the paper, a comparison of several similar companies was made and it was determined that this company achieves better results by applying ABC analysis. A structural analysis of the most important products was performed and the phase of the production life cycle of the most important product was presented according to the criterion of the relative production volume.
ENERGУ EFFICIENCY OF THE TRANSMITTER DVB-T2 SYSTEM
Authors: Zlatanovic Jovan , Milosevic Ivana , Milosevic Mirko
Published: September 2024

Today, every little bit of energy is very important. Campaigns and appeals have been made to the public, and incentives have been given to save energy. Ministry of Energy Serbia has analyzed ongoing climate change and increasing energy consumption. The request for energy saving from the Ministry of Energy Serbia has reached to the public enterprises PE ETV (Public enterprises Transmitters and Communications) contributed to saving energy consumption by using innovative technologies and equipment. Our goal is to provide a quality TV and radio signal with as little energy consumption as possible. Broadcasters and end users must be satisfied with that level of signal quality. This research paper describes the analysis of the energy efficiency of transmitters. We had to replace the transmitters with more energy-efficient ones in order to meet modern requirements for mode of operation and rational consumption of energy. We broadcast the DVB-T2 signal with transmitters whose amplifiers have been operated in Doherty configuration
OPTICAL AND ELECTRONIC PROPERTIES OF COAXIAL SQUARE QUANTUM WELL WIRES AND FIELD EFFECTS
Authors: Aktas Saban , Boz Figen , Okan Sevket
Published: September 2024

The electronic and optical properties of the coaxial square quantum well wires were examined depending on their geometric parameters under external fields. Within the effective mass approximation, the finite difference and the variational methods were used in the calculations. The external fields such as electric, magnetic and laser fields affect the shape of the electronic wave function, and they also vary the energy states depending on their intensity. Thus, the blue shift in the total linear absorption coefficients can be provided as well as the photon energy.
DEVELOPMENT OF A CONTROLLER FOR SMALL WIND TURBINES WITH A MOBILE SETUP
Authors: Panayotov Petar , Goranov Goran
Published: September 2024

Controllers for wind generators can be PWM or MPPT. MPPT controllers provide maximum battery charging current while protecting the turbine from damage. Due to the differences of wind turbines, in order for the controller to cope with this task, it is necessary to know the electrical and mechanical characteristics of the wind turbine. This paper proposes a method to automatically capture turbine characteristics at different wind speeds and different loads. The data is sent to a mobile device where the calculations are performed, then the characteristics are sent back to the controller. This is necessary due to the calculation of a large number of linear equations that the controller cannot handle.
REACTIVE APPROACH FOR MULTI-AGENT TOURIST GUIDE FOR GABROVO
Authors: Nedelchev Iliya
Published: September 2024

This paper discusses the use of the multi-agent system Jason as a tool for implementing a tourist guide for Gabrovo. The proposed system aims to provide a personalized and human-centric experience to the tourists by considering their preferences, interests, and current location. The system uses a reactive approach that allows agents to dynamically adapt to changing situations and provide the most relevant information to tourists. The paper argues that the reactive approach is more suitable for human-centric applications like a tourist guides, as it allows the system to respond to the tourists' needs in real-time. Moreover, the system considers the social context of the tourists by incorporating the social norms and customs of Gabrovo. The proposed system has been evaluated through a user study, which shows that the tourists find it useful and enjoyable. In summary, this paper proposes a multi-agent system Jason for implementing a tourist guide for Gabrovo, which uses a reactive approach that is more human-centric. The system provides personalized and context-aware information to the tourists and has been evaluated positively through a user study.
DETECTION AND ISOLATION OF A MULTIPLICATIVE FAULT IN A WIRELESS POWER TRANSFER SYSTEM
Authors: Janjic Dejan , Antic Sanja , Koprivica Branko
Published: September 2024

The experimental procedure presented in the paper focuses on detecting and isolating the multiplicative fault of the compensating capacitor which can occur due to certain application conditions, on a wireless energy transfer system model. The testing was conducted on a laboratory system, which involved measuring changes in voltages and currents based on the change in the compensating capacitor's value (simulating a fault). The results obtained from the efficiency curve at the resonant frequency for different compensating capacitor values were used to detect and isolate the multiplicative fault. Additionally, the same curve was used in the approximate fault identification process, which involved determining the fault's size.
PREDICTING WIND ENERGY PRODUCTION IN THE SHORT-TERM USING MACHINE LEARNING ALGORITHM
Authors: KUŞÇU Hilmi , TEZ Taşkın
Published: September 2024

The prediction of electricity generation from wind power plays a critical role in the formulation and management of future energy production plans. These predictions are highly important for wind energy facilities to achieve optimal performance, meet energy demands, and stabilize energy prices. Therefore, in this study, the Support Vector Machine (SVM) Regression Algorithm, a traditional machine learning algorithm, was preferred to forecast the weekly electricity production of wind power plants. Performance metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and R-Squared (R²) were utilized to assess the accuracy of the predictions. The results of this study indicated that the SVM Regression Algorithm with the Radial function yielded the best outcomes. Consequently, it is recommended to employ the SVM Regression Algorithm with the Radial function for weekly electricity production predictions.
DEVELOPMENT OF AN IP CAMERA SYSTEM USING MACHINE LEARNING FOR THE PURPOSE OF PRIVACY PROTECTION
Authors: Popović Oliver , Nikolić Nikola , Ubavić Vladica , Jovanović-Milenković Marina , Asanović Marko , Buzdovan Ivana
Published: September 2024

The rapid evolution of technology and the Internet have profoundly influenced the advancement of video surveillance systems. In contemporary video surveillance systems, camera-recorded content has the potential to be publicly accessible via the Internet. However, the widespread deployment of such cameras has raised concerns about privacy violations, as these devices capture extensive footage of individuals and activities. To address these concerns and safeguard privacy, various technologies and software solutions have been deployed. This paper elaborates the architectural design and development of a system that use machine learning techniques to obfuscate individuals' faces within recorded materials. By employing machine learning, the proposed system ensures that the identity of individuals remains protected, both in publicly available content and in cases of unauthorized access, granting exclusive access to the original, unobscured content only to authorized personnel.
USING IMAGE PROCESSING TECHNIQUES FOR PART CLASSIFICATION
Authors: GULLU Aydın , AKI Ozan
Published: September 2024

In industrial automation, it is used with various sensors for detection. Digital sensors are widely used because they are economical and easy to process. There are digital sensors that detect various materials for part detection. There is a FESTO part sorting station at Trakya University İpsala Vocational School. At the end of the production line, the color and structure of the part is detected and classified by industrial sensors. The part is detected by two optical sensors and the color of the part is determined according to the light reflected from the part. After color detection, it is checked whether the piece is metal or not by means of an inductive sensor. According to the information coming from these three sensors, the parts are classified as black, red and metallic. Instead of this sensor combination, a camera was used in this study. The color of the part is detected by image processing. In addition, thanks to the camera, part thickness and diameter were also detected. Classification and quality control of the parts were provided with the camera. In the study, the camera works connected to the computer. The classification station is controlled by PLC. Image processing data was transferred to the PLC with a microcontroller card.
THEORETICAL CHARACTERIZATION OF A IMIDAZOPHENANTHROLINE DERIVED LIGAND BY THE DENSITY FUNCTIONAL METHOD
Authors: Uluçam Gühergül
Published: September 2024

The biological and physiological activities of heterocyclic ligands are important research fields. As those ligands are components of many natural substances, their synthesis lead to the new products. The prior theoretical examination of ligands, to be synthesized, is necessary due to the fact that determining the proper experimental conditions and taking precautions against the possible experimental errors are necessary processes. Moreover, the theoretical calculations can model instable molecules and their trans-states, giving opportunity to simulate molecules and reaction mechanisms which cannot be observed experimentally. A new ligand with N and O donor atoms, namely (E)-N-(4-(1H-imidazo[4,5-f][1,10]phenanthrolin-2-yl)phenyl)-1-(furan-2-yl)methanimine, was simulated using density functional theory. The base set was B3LYP/6-311G ++ (2d, p) in Gaussian G09w packet program. After the geometry of ligand was minimized, the NMR spectrum and FT-IR spectrum of the chemical were also calculated on the found structure. The bond lengths, bond angles, dihedral angles of the ligand together with the molecular electrostatic potential map, the Mulliken atomic charges, the dipole moments, the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) energies were determined. The ligand can be supposed to make coordination bonds with two metal ions, and therefore became a good candidate of metal ion carrier, or catcher.
POSSIBILITY OF DEMOCRATIZATION OF INTEGRATED CIRCUITS DESIGN FOR EDUCATIONAL AND SMALL PROJECTS
Authors: Knezevic Mihailo , Jovanovic Zeljko , Lukovic Milentije
Published: September 2024

Since very early stages of software development, concept of open-source and free tools developed by community took important role in pushing software development technologies and techniques forward. Such idea just recently started its development in world of integrated circuits (IC) where proprietary and expensive software and tools still play huge part in industry, practically making it impossible for individuals and small companies to develop their ideas in world of ICs. With ever-rising need for Application Specific Integrated Circuits (ASIC) for budget constrained projects, need for open-source developing tools to support those processes has become very important, in fact, so important that some of the biggest technology companies took part in their development in hope of diversifying available tools for designing and producing ASICs.This paper aims to raise awareness on so far available tools (some of which have long ongoing history) with special focus on Tiny Tapeout, tool specially designed for students and beginners in ASIC digital systems design world to make it as easy as possible to tapeout their first design from scratch.
DETECTION OF BUILDING CRACKS FROM IMAGES IN CLOUD-FOG COMPUTING
Authors: Marković Dušan , Vujičić Dejan , Stojić Dijana , Pešović Uroš , Ranđić Siniša
Published: September 2024

Inspection of infrastructures, such as buildings, is significant to detect defects that can cause more damage. Finding defects, such as cracks on the building surface, timely represents information that helps to maintain stability, safety, and duration of the building. Certain parts of the building surface may be difficult to access manually. So, an automated system could be used with unmanned aerial vehicles (UAV) and computer vision techniques coupled with Convolutional Neural Networks (CNNs). Our work aims to present the process of training a neural network model for building crack detection on the Cloud with satisfactory accuracy. And then deploy that model at the Fog level for the new image classification. The subject of research is the distribution of processing tasks from a distance server or Cloud to the Fog node closer to the source to obtain the results of image processing without high value for delay, reduce data transmission to the Cloud platform, and thus reduce the network load and energy consumption on the Cloud.
Risco econômico na produção de soja em Mato Grosso no período de 2016/17 a 2022/23
Authors: Ormonde Stephani Oliveira , Pereira Ruth da Silva , Procópio Diego Pierotti
Published: September 2024

Objetivou-se analisar o risco econômico do cultivo de soja em Mato Grosso para o período de 2015/16 a 2022/23, considerando uma variação conjunta do preço dos principais insumos e produto e produtividade sobre o lucro da atividade. Para isso, a análise do risco econômico foi realizada por meio da Simulação de Monte Carlo e utilizou-se os indicadores de Custo Total, Receita Total e Lucro. Dentre os principais resultados, constatou-se a existência do risco econômico no cultivo de soja em Mato Grosso e, fatores como as mudanças climáticas, a pandemia da COVID-19 e a guerra entre Rússia e Ucrânia podem ter contribuído para a ocorrência desse fenômeno. Destaca-se a importância para a realização desse mesmo tipo de trabalho para outras unidades federativas e a inserção de outros indicadores econômicos para uma análise mais robusta.
Obstáculos críticos para a gestão da autovistoria predial
Authors: Magalhães Junior Gabriel da Trindade , Santos João Alberto Neves dos , Fernandes Danilo Rangel , Santiago Victor Iglesias Quiterio , Barbosa Cristiane Viana , Sallum Gabriela
Published: September 2024

Nos países mais desenvolvidos, que possuem uma cultura de manutenção, os métodos de inspeção predial têm passado por contínuo aperfeiçoamento. No Brasil, em diversos estados e municípios foram aprovadas legislações que obrigam a periódica vistoria de prédios, realizadas por profissionais habilitados. Este artigo tem por objetivo identificar os principais obstáculos críticos à implementação da Autovistoria Predial no Rio de Janeiro, após dez anos de aprovação das primeiras legislações, visando verificar os avanços e retrocessos, que possam servir para aperfeiçoar as legislações. Foi desenvolvido um questionário, com base nas legislações e pesquisas anteriores, sendo obtidas 62 respostas válidas de Engenheiros e Arquitetos. Com a aplicação do Teste t, constatou-se que a deficiência na fiscalização dos serviços; a falta de divulgação da Autovistoria junto à sociedade; a banalização dos serviços devido à contratação de empresas sem o necessário conhecimento ou experiência; e a deficiência de conhecimento sobre Autovistoria pelos contratantes foram considerados os Obstáculos mais críticos à implantação da Autovistoria. O estudo concluiu que as mudanças estão acontecendo, mas de forma ainda mais lenta do que seria o necessário, pois 7 dos 10 principais Obstáculos já haviam sido identificados em pesquisas anteriores, mas continuam a afligir aqueles que dependem da Autovistoria para desenvolver suas atividades.
Desafios ambientais e sustentabilidade no contexto geopolítico aeroespacial
Authors: Carvalho Christian Danner Ramos de , Chai Cássius Guimarães , Serra Mayanne Camara , Fonseca Neto João Viana da
Published: September 2024

Considerando que o crescimento das atividades aeroespaciais esbarra em questões relacionadas ao desenvolvimento sustentável e tensões geopolíticas, esse artigo tem o objetivo de investigar os desafios ambientais associados às atividades espaciais, com foco na gestão de material residual e no impacto das atividades espaciais comerciais no meio ambiente da Terra e do espaço sideral. Para tanto, procede-se em um levantamento da literatura com enfoque em artigos publicados sobre a temática nos últimos cinco anos. Desse modo, compreende-se que a Indústria Aeroespacial ainda não está efetivamente posicionada como alinhada ao desenvolvimento sustentável, principalmente devido à geração de resíduos espaciais. Esse material residual pode causar impactos em alguma nação da Terra, desencadeando tensões geopolíticas. Diante disso, a discussão sobre os desafios ambientais e a sustentabilidade no cenário aeroespacial na perspectiva geopolítica é transdisciplinar e deve ser continuamente aprofundada para gerar estratégias em diferentes contextos.
Impact of Physical Activity on Functional Independence among Elderly Population Residing in Old Age Homes
Authors: Kanika Sanjana, , Sharma Nidhi
Published: September 2024

Introduction: Ageing is a global phenomenon. Age-related physiological changes result in a decline in functional skills as the population ages. Reduced functional abilities result in issues with everyday living, selfcare, and psychosocial issues. Regular physical activity is known to enhance functional ability, physical fitness, and well-being and to mitigate the adverse effects of aging. Aim: Evaluate the impact of physical activity on the functional independence in daily living of the elderly residing in old age homes. Materials and Methods: A total of 100 elderly individuals aged 60-80 years were recruited using purposive sampling based on selection criteria. The Global Physical Activity Questionnaire (GPAQ) was employed to assess the level of physical activity and Functional Independence Measure (FIM) was evaluated to determine the participants’ level of independence. Results: The study comprised 52 male participants with a mean age of 70.26±7.61 and 48 female participants with a mean age of 68.91±2.34. The data exhibited normal distribution, therefore pearson correlation was used for data analysis. The findings revealed a strong positive correlation between physical activity and functional independence (r=0.9, p>0.05). Conclusion: This study found a strong positive correlation between physical activity and functional independence. This shows that affected physical activity can be major contributing factor in the level of independence. It has been proven that higher disability was found to be associated with lower physical activity.
Effect of Stress and Behaviour on Working Memory and Psychosocial Status among Healthy College-going Medical Laboratory Technician Student
Authors: Kumari Janki , Bhowmik Sunanda
Published: September 2024

Introduction: This study might have a potential input about the behaviour, anxiety and working memory of college-going students stress can significantly impact working memory and psychosocial status among college students. Understanding the mechanisms through which stress affects cognitive function and behaviour is crucial for developing interventions to support students in managing stress effectively and promoting their overall well-being. Aim: To determine the effect of stress and behaviour on health stress can significantly impact working memory and psychosocial status among college students. Understanding the mechanisms through which stress affects cognitive function and behaviour is crucial for developing interventions to support students in managing stress effectively and promoting their overall well-being. Materials and Methods: The study included 100 sample from college-going healthy students aged between 19-25 years. The participants were selected from several MLT department colleges, and an online survey was used to evaluate their behaviour and the impact of stress on their working memory and psychosocial status. Results: Women are more impacted than men. It was discovered how frequently stressed and behaved college-bound students were in good health. Of the MLT students, 38.9% and 61.1% were most affected. Conclusion: The MLT students were frequent affected with stress and anxiety mostly the females were affected rather than male.
A Comprehensive Review of Cranial Electrical Stimulation on Cognitive Enhancement among Adults
Authors: Thakur Naveeta , Sharma Nidhi , Kaur Simranjeet
Published: September 2024

Introduction: Cranial Electrotherapy Stimulation (CES) is a U.S. Food and Drug Administration approved non invasive neuromodulation method used for treating insomnia, anxiety, depression, pain and cognition. Aim: To provide an insight on the effect of Cranial Electrotherapy Stimulation on cognition among adults. Materials and Methods: A literature search was performed using the PubMed, Scopus and Google Scholar databases for relevant research published from inception to February 2024. The search terms like “Cranial Electrotherapy Stimulation”, “Cognition”, “Attention” and “Memory” using Boolean operators AND, OR were used. 4,593 articles were retrieved, out of which only 6 articles met the eligibility criteria, in which186 participants with cognitive dysfunction were included. Adult population, randomised controlled trials, case series and complete text papers written in english were included and preliminary reviews, book chapters and thesis and dissertations were excluded. Results: All articles included for the review examined the impact of CES on cognition and out of those, three randomised controlled trials and one case series showed statistically significant improvement in all aspect of cognition among normal adults and in clinical population. However, two randomised controlled trials showed no significant improvement on cognition among clinical population, potential reasons for not observing positive effects from the intervention include missed CES treatments and a small sample size. Conclusion: CES is a safe neuromodulation method that appears to have the potential to enhance cognitive performance among normal adults and in clinical population. However, further research is needed to confirm these conclusions.
Profile Scanning of the Farmers of Karimnagar District of Telangana State, India
Authors: Rao N. Venkateshwar , L.Mahesh  , J.Vijay  , Reddy D.Sreenivasa , A.Prashanthi  , G.Venugopal  , G.Prabhakar
Published: September 2024

This research highlights the profile of farmers in Karimnagar district, Telangana. The study uses an ex-post facto and exploratory research design to analyse the socio-economic characteristics of farmers who adopted and those who did not adopt the technologies introduced by Krishi Vigyan Kendra (KVK), Jammikunta. The study includes 300 farmers who adopted KVK technologies and 150 who did not. Results show that the majority (43.00%) of the KVK-adopted farmers were of middle age, with 26.34% having primary-level education and 42.33% having high exposure to mass media. In contrast, the non-adopted farmers exhibited lower socio-economic and technological engagement. The research provides insights into the factors influencing the adoption of agricultural technologies.
Forecasting the Economic Value of Ecosystem Services in Coastal Areas of the Indian Ocean: A Case Study of the Kinondoni District, Tanzania
Authors: Zella Adili Y. , Kitali Luzabeth J.
Published: September 2024

This study forecasts changes in the economic value of ecosystem services (ESVs) in Kinondoni District, Tanzania, between 2023 and 2033, with a focus on the impacts of land use and land cover (LULC) changes on natural capital. Using a combination of remote sensing, GIS, and ESV estimation methods, the study reveals significant shifts in ecosystem services. Water bodies are expected to dominate the landscape, contributing over 90% of the total ESV, followed by mangrove forests. However, the total ESV is projected to decrease by 5.4% to 6.2%, amounting to a loss of between US$ 1.04 million and US$ 1.31 million, mainly due to declines in water and mangroves. The study also anticipates losses in ecosystem functions, particularly in regulating and provisioning services. These losses are primarily attributed to the degradation of water bodies and mangrove forests, which play key roles in maintaining ecosystem balance. The decline in ESVs underscores the risk of deforestation and the challenges of managing public natural resources. The study emphasizes the urgent need to revise and enhance conservation strategies to safeguard the sustainability of coastal ecosystems in Tanzania, ensuring their long-term benefits for both the environment and human populations.
Rice Post-harvest Value Addition Agricultural Extension Training Model for Smallholder Farmers and Extension Agents in the Southern Region of Sierra Leone
Authors: Kamanda Philip Jimia
Published: September 2024

A study was conducted to develop an agricultural training model for smallholder farmers and extension agents (farming actors) in rice post-harvest value addition in the Southern region of Sierra Leone. The study sought to identify the training needs and competencies of the farming actors in rice post-harvest value addition with a vision to identify their required training contents. Three ethical issues that guided the conduct of the study include informed consent, anonymity, and confidentiality since the study dealt with human participants. A multi-stage random sampling technique was employed to select 400 smallholder farmers from 157,114 households by the use of Yamane's formula. A census of 50 extension agents operating in the region was also done. The training model development was aided by undertaking a training needs assessment. The model is largely a synthesis of the study objectives of the rice post-harvest value addition study. The assessment revealed that farming actors have limited resources, low-value addition competencies, imperfect market situation, inadequate extension services, low profit margin, low livelihood, peasant farming, and low motivation for extension agents. The study further reveals low competency levels for the farming actors. The key expressed training needs of the farming actors include milling, packaging and marketing, and storage of rice whilst the majority preferred group training methods in rice post-harvest value addition. For effective training, the study further shows that training support such as subject matter specialists, input suppliers, service providers, and infrastructure, among others, are to be provided. The study also provided a dynamic extension model as an alternative option to the generic type since farming situations are constantly changing. This dynamic model ensures that as the context issues change, there is a need for the farming actors to respond to those changes. It is therefore recommended that regular needs assessment, provision of support services, and monitoring of training actors must be done for full utilisation of the proposed model.
The Influence of Teacher Professionalism on the Alignment between Syllabus Content and Classroom Instruction: A Case Study of Selected Secondary Schools in Mvomero District, Tanzania
Authors: Mbilinyi Roswitha , Wandela Eugenia Lucas
Published: September 2024

This study determines the impact teachers’ professionalism on alignment between syllabus content and classroom instructions. Syllabus alignment is critical in ensuring that the content taught in classrooms meets educational standards and prepare students for assessments. Effective alignment guarantees students receive a coherent education and teachers can deliver lessons that support learning goals. The topic is significant as it explores how teachers’ skills, knowledge, and professional conduct directly influence the accuracy and effectiveness of teaching, which is essential for improving educational outcomes and policy development, The study adopted a case study research design using a qualitative approach for data collection and analysis. The study was conducted in the Mvomero District in the Morogoro region in Tanzania, and the target population was all biology teachers. The study used simple random sampling to select schools and purposive sampling techniques to select respondents. The study collected data from 19 teachers using semi-structured interviews, classroom observation, and documentary review. Findings revealed that teachers’ professionalism impact the alignment between the syllabi and classroom instructions. It is recommended that the government should enroll the students according to their learning environment. It is also recommended that the government plan for in-service training for teachers to be conducted several times. Moreover, teachers should take the initiative to develop creative solutions in their classrooms to facilitate learning.
Dietary Management of Vitex doniana (Black Plum) Leaves in Alloxan-induced Diabetic Albino Rats
Authors: Izuchukwu Ugwu, Joshua , Peter Igwe, Ejikeme , Chisom Okorie, Testimony , Collins Ejiofor, Nonso
Published: September 2024

Diabetes is a major health concern and diabetes drugs have shown to produce adverse effect and therapeutically inefficacy overtime. This study investigated the effects of dietary effects of Vitex doniana leaves on fasting blood glucose levels in alloxan-induced diabetic rats; and explored dosage-response association between the concentrations of V.doniana leaves in the diet. The leaf was screened for the presence of phytochemicals using standard methodologies; alkaloids, terpernoids, flavonoids, phenol, tannins, saponins, reducing sugar, soluble sugar and non-reducing sugar, glycosides, and hydrogen cyanide, were found in the leaf. The result of the in-vivo study done for 21 days showed that there was significant difference (p < 0.05) between the blood glucose levels and body weights of rats in the treated group and the untreated group. The non-diabetic group had higher (p < 0.05) body weights than the untreated group, their blood sugar levels were lower (p < 0.05) than that of the induced untreated groups. The blood glucose levels of the induced untreated group were higher (p < 0.05) and their weights were reduced (p < 0.05) when compared with the blood sugar levels and weights of the treated groups. The blood sugar levels and weights of the rats that were treated with standard drug or V.doniana were similar (p < 0.05) to the blood sugar levels and weights of the standard group. The blood glucose levels of the rats treated with 20% V.doniana was higher (p < 0.05) than the blood glucose levels of rats treated with 40% V.doniana. The weights of the rats treated with 20% V.doniana was lower (p < 0.05) weight of rats treated with 40% V.doniana. The results suggest that V.doniana can be explored as a therapy for diabetic patients.
AI and Digital Economies: A Comparative Analysis of South and Southeast Asia and Africa
Authors: Abanga Ellen A. , Dotse Stephen
Published: September 2024

This study aims to analyze the adoption of Artificial Intelligence (AI) in South and Southeast Asia and Africa, focusing on how AI technologies shape the digital economies in these regions. The objective is to assess AI's role in key sectors such as energy, manufacturing, healthcare, and finance, and examine its impact on policy formulation, public service delivery, and governance. The paper employs a comparative literature review methodology. Data is gathered from secondary sources, including academic papers and reports, to analyze AI infrastructure, policy frameworks, sectoral impacts, and barriers to adoption. The study identifies similarities and differences in AI integration across the regions. The study reveals that South and Southeast Asia have made greater advancements in AI adoption, driven by stronger infrastructure and government policies, while Africa faces challenges due to infrastructure deficits and limited AI expertise. However, both regions show potential for leveraging AI to drive economic growth, particularly in underserved sectors like agriculture and financial inclusion. Additionally, the research highlights the critical role of AI governance, with a strong need for both regions to develop robust regulatory frameworks to ensure responsible and ethical AI implementation. The study is limited by its reliance on secondary data, which restricts deeper insight into on-the-ground challenges. Future research should incorporate field studies and interviews with AI practitioners for a more comprehensive understanding of AI’s impact. This paper contributes to the limited comparative research on AI adoption between South and Southeast Asia and Africa. It offers insights for policymakers and industry leaders on how AI can be harnessed for inclusive economic growth and transformation in these regions.
Response of Macronutrients, Micronutrient and Biofertilizer on the Growth and Yield Attributes of Kalanamak Rice (Oryza sativa L.) in Central Uttar Pradesh, India
Authors: Pandey Shubham , Sharma Sanjeev , Sachan Kushal , Patel Krishna Kumar , Yadav Praveen Kumar , Yadav Abhishek Singh , Baheliya Ajay Kumar , Tripathi Shubha , Tiwari Tapasya
Published: September 2024

A field experiment was conducted on the combined application of macronutrients and micronutrient along with biofertilizer significantly improved the growth and yield attributes of Kalanamak rice over two kharif seasons, 2022 and 2023. The most effective treatment, T7 [100 per cent RDF (Recommended Dose of Fertilizer) + 25 per cent N through FYM (Farm Yard Manure) + S (Sulphur) @ 40 kg ha-1 + ZnO (Zinc oxide) @ 5 kg ha-1 + BGA (Blue Green Algae) @ 10 kg ha-1] gave maximum increase in growth and yield attributing characteristics viz. plant height (96.80 cm & 97.82 cm), number of tillers hill-1 (11.23 & 11.25), number of effective tillers hill-1 (10.81 & 10.94), panicle length (35.16 cm & 35.43 cm), number of grains panicle-1 (175.82 & 179.45), number of filled grains panicle-1 (159.89 & 161.02), number of unfilled grains panicle-1 (15.93 & 18.43) and test weight (14.9 g & 15 g). This indicates that integrated nutrient management including the integration of organic manures, i.e., FYM, inorganic nutrients (N, P, K, S and Zn) and bio-fertilizers, i.e., BGA enhances rice growth and yield. The positive impact of BGA on nitrogen fixation, combined with the role of Zn and S in grain formation, contributed to higher grain numbers, greater panicle length and increased test weight leading to improved grain yield. Overall, the study highlights the importance of integrated nutrient management, demonstrating that the synergetic use of biofertilizer and balanced fertilization can optimize nutrient availability, improve soil health, reduce unfilled grains and increase crop productivity in Kalanamak rice cultivation.
Successful Management of Fetal Macerations in Two Different Does
Authors: Narwade Priyanka , Balamurugan B. , Jena Dayanidhi , Ravi Sanjay Kumar , Mishra Rabindra Mohan
Published: September 2024

Two cases of fetal macerations were presented at Teaching Veterinary Clinical Complex, Faculty of Veterinary and Animal Sciences, Banaras Hindu University, Barkachha, Mirzapur with varying degree of signs and symptoms in does. The detailed case history, signs and symptoms along with successful treatment and management are discussed in this case report.
A Tale of Grumpy Neighbours: Angina from Left Main Coronary Artery Compression in Severe Pulmonary Hypertension with Large ASD
Authors: Munde Kalyan S , T S Anagh , Mutha Samkit , Niari Jayakrishna , Paliwal Mohan , Kolapkar Hariom
Published: September 2024

This report presents a case of a 42-year-old patient diagnosed with ostium secundum atrial septal defect (ASD) with severe pulmonary arterial hypertension (PAH). The patient presented with progressive chest pain and dyspnea and was found to have a lesion in the left main coronary artery (LMCA) ostium by coronary angiography. Computed tomography (CT) imaging revealed a significant enlargement of the main pulmonary artery (MPA), which indicated possible compression of the LMCA by the pulmonary artery which was subsequently confirmed by coronary angiography and intravascular ultrasound (IVUS). Our patient underwent IVUS guided percutaneous coronary intervention by which a stent was deployed in the ostial LMCA, leading to near resolution of the patient's symptoms. Currently, the patient is under follow-up. This case highlights an often-overlooked cause of chest pain and dyspnea in patients with PAH. Although these patients often experience typical and atypical angina due to elevated right-sided pressures, the current report reveals that external compression of the LMCA by an enlarged pulomonarya artery(PA) can also cause coronary ischemia.  Physicians should consider LMCA compression when assessing PAH patients with chest pain, as percutaneous coronary intervention and stenting can safely and effectively manage this condition.
A Review on Carbon Foot Printing in Sustainable Agriculture as a Cutting-Edge Approach to Environmental Responsibility
Authors: Sirilakshmi Y , Gogoi Bidyut P , T Ashwini , Dkhar Deinichwa
Published: September 2024

The agricultural sector needs to produce more food while reducing its environmental impact in order to meet the challenges posed by climate change, population growth, and other unprecedented global issues. Unsustainable practices are a major source of greenhouse gas emissions, soil degradation, and biodiversity loss, so agriculture needs to be at the center of sustainability efforts. One transformative tool for advancing sustainable agriculture is carbon footprinting, which measures the emissions of greenhouse gases from farming activities. Technologies like artificial intelligence, remote sensing, and the Internet of Things have made it possible to analyze data in real-time, giving farmers actionable insights to improve sustainability. Furthermore, carbon footprinting acts as a benchmark for farmers, guiding them toward climate-smart practices while fostering transparency and accountability. Despite challenges like data availability and standardization, the potential of carbon footprinting to reshape farming practices is profound. The widespread adoption of this tool, supported by research and policy incentives, is critical for steering agriculture towards a sustainable, low-carbon future that addresses both global food demand and environmental preservation. This paper explores the integration of carbon footprinting in agriculture, highlighting its role in optimizing resource use, reducing emissions, and fostering resilience.