bluuebunny/crossref_metadata_2025 huggingface dataset:
Environmental impacts and future challenges of livestock sector in Hungary
Authors: Hoyk Edit , Farkas Jenő Zsolt , Kőszegi Irén Rita , Szalai Ádám
Published: April 2024

In developed countries, livestock farming faces significant global challenges, including adverse environmental impacts such as greenhouse gas (GHG) emissions and pollution from industrial animal husbandry. These negative processes were accompanied by the disappearance of livestock breeding from backyards and small farms’ demise in recent decades. As a result, the sector’s significance in rural communities has decreased, causing challenges for rural development. This research investigates these processes on the example of the Hungarian livestock sector from the 1990s to recent years, with statistical and policy document analysis, literature review, and interviews in Hungary’s Southern Great Plain. The results show that the number of animals kept in rural settlements has decreased significantly in the last three decades. The established large-scale industrial animal husbandry is a negative environmental burden without positive externalities. In conclusion, the disappearance of the backyard and small-scale livestock farms from the Hungarian countryside has resulted in the loss of multifunctionality and social exclusion. A diversified farming system and a more balanced policy preference toward civic agriculture and small-scale animal husbandry can bring many environmental, economic, and social benefits to rural Hungary.
Practical education at universities in Poland – legal regulations and reflections
Authors: Halista-Telus Edyta
Published: April 2024

The aim of the article is to show the transformations taking place at universities under the influence of socio-economic changes as well as dynamic changes in the labour market. The considerations are aimed at showing the specifics of dual studies, studies with a practical profile. The key, according to the author, is to present and analyse the legal provisions regulating their existence and functioning in higher education institutions in Poland.
Board Games in Mathematics Education: Presentation of the PDCA-based Graphic Design Process of the YETI Didactic Framework
Authors: Szilágyi Szilvia , Palencsár Enikő
Published: April 2024

YETI is a didactic framework currently under development, aimed at integrating game-based learning into higher education, with a focus on the topics of infinite series and improper integrals. The visual elements hold noteworthy importance within the framework, given that beyond a well-developed set of rules, experiential aspects also play a role in sustaining students’ attention, by enabling them to immerse themselves in the game. One of the standout visual elements of the YETI framework is the game mat inspired by the Koch snowflake. Through its development phases, the entire graphic design process of the framework can be observed. This paper outlines the development cycles of the game mat using the PDCA (Plan-Do-Check-Act) methodology. Furthermore, it presents the results of a survey conducted among university students on their attitudes toward the finalised graphic design of the framework.
Tevékenység alapú Informatika kurzusok MOOC-alapú tükrözött osztályteremi környezetben
Authors: Béres Ilona , Magyar Tímea , Barna Edina
Published: April 2024

A METU Módszertani Intézete számára folyamatos kihívás a tanterv fejlesztése oly módon, hogy a hazai és a világ különböző országaiból érkező hallgatók esetén azokat a készségeket, ismereteket és attitűdöket fejlesszük, amelyek a gyorsan változó információs társadalomban való hatékony munkához elengedhetetlenek, ugyanakkor bevonják, alkotásra motiválják őket. A cikkben bemutatjuk a (a) digitális kompetenciák fejlesztését; (b) problémamegoldást; és (c) kollaboráció megvalósítását célzó tanulási megközelítést, amelyben hangsúlyos szerepe van a tanulói brand, azaz a portfólió építésnek. Egyetemünk hazai viszonylatban elsőként vezette be myBRAND néven a portfólió alapú képzést. Jelen cikkben a tudatosan alkalmazott digitális eszközök, a tananyagba integrált MOOC kurzusok bemutatása mellett elemezzük a hallgatói élmény és az eredményesség alakulását, valamint a hallgatóink véleményét a kialakított modellről.
Alkalmazottak életpálya modellje : Java és SQL esettanulmány az Oracle HR sémára építve
Authors: Kaczur Sándor , Kiss Balázs
Published: April 2024

Az objektumorientált programozás oktatásának része olyan kliensprogramok tervezése, kódolása és tesztelése, amelyek képesek adatbázishoz csatlakozni. A belépő szint csupán lekérdezés, adatok megjelenítése űrlapokon, táblázatos komponensekben, vagy grafikonokon. Haladó szinten már szükséges az adatok karbantartása is, illetve konzolos, asztali alkalmazásokról át lehet térni webes és mobil platformokra is. A szerzők cikke ebből a tanulási útból emel ki egy esettanulmányt, amely Java és SQL nyelveken készült és MVC architekturális tervezési mintát használ. A felhasznált mintaadatok az Oracle HR sémából származnak. Az elemzés betekintést nyújt a modellalkotás lehetőségeibe – többféle megközelítést alkalmazva, elvi és konkrét szinten is.
Társadalmi hálóink - életünk sikeres szervezése a hálózatok tudománya alapján
Authors: Takács Anna Mária , Nemes Teréz
Published: April 2024

Egyre többünkben tudatosul, hogy igazából hálózatokon keresztül létezünk. Maga az agyunk is egy neurális háló, a gazdasági folyamatok is hálózatszerűen rendeződnek. Társadalmunk is hálózatos szerveződésű már több ezer éve. Ahogy saját publikált eredményeink is alátámasztották, a szakmai érvényesülésnél, egyéni sikerek, kudarcok megélésénél a minket körülvevő emberi hálózatnak a szerepe megdöbbentően központi és döntő jelentőségű az egyéb komponensek mellett. Ebben a kutatásban a szociális hálózatok szerepét szeretnénk vizsgálni egyetemünk hallgatóinak életében. Hogyan jönnek létre ezek a hálózatok, milyen tulajdonságokkal rendelkeznek? Hogyan alakíthatók, fejleszthetők azért, hogy tanítványaink a lehető legtöbb segítséget kaphassák meg szakmai és emberi problémáik megoldása közben? Ehhez meg kell ismernünk és elemeznünk kell ezeket a kialakult és folyton változó kisvilágokat és nagyobb egységeket. A metódust a nagy, skálafüggetlen hálózatok kutatási eredményei biztosítják. Azt a tézist szeretnénk megerősíteni, hogy vannak lehetőségek, amelyekkel az oktatási és mentorálási munka közben tudjuk segíteni a hallgatóinkat az őket körülvevő hálózatok fejlesztésében, ezzel nagyobb lehetőséget adva a jövőbeli sikereiknek.
Termikus analízis egy típuspéldája és gyakorlati alkalmazása
Authors: Tóth Attila
Published: April 2024

A TG és DTG termoanalitikai módszer felfedi az anyagok mennyiségi, valamint dinamikai jellemzőit is. A tanulmányban bemutatjuk egy adott mészkőre vonatkozó méréseinket. A méréseket összehasonlítjuk különböző földrészekről származó, más kristályos szerkezetű mészkövek tömegveszteségeivel. A termikus analízis a fázisátalakulás gyorsaságát is kimutatja. A mészkő tömegveszteségére matematikai modelleket keresünk. Többféle méréssel bemutatjuk a fázisok különbözőségét, valamint mellékeljük a saját elektronmikroszkópos felvételeinket az egyes fázisokról (CaCO3-CaO), és az újrakristályosodott mészkőről, a végtermékek szempontjából javaslunk megoldásokat.
Informatika és világ felsőoktatási alapozó tárgy oktatás-módszertani problémái az angol nyelvű képzésben
Authors: Lázár Edit
Published: April 2024

Kutatásaim során a Bruner-i reprezentációs síkok összekapcsolódását és meglétét vizsgálom az általam oktatott hallgatóknál. 2017-től veszek részt a BGE PSZK Informatika és Világ (INFV) nevű alapozó informatikai tárgy angol nyelvű oktatásában. A 2022/23. 1. félévi kötelező beadandók projektmunkában készültek. A hallgatók közül a külföldieket vizsgálom. Egy általam „projektumunka kezdeménynek” röviden pmk-nak nevezett feladat részeinek megoldási tapasztalatait írom le. Megmutatom, hogy ez mennyiben tudta segíteni a hallgatók szociális tőkéjének erősítését és tudta-e csökkenteni a lemorzsolódást. A pmk-n belül a hallgatók céget alapítottak és ennek alapító dokumentumát, Exceles kimutatását és adatbázisát is el kellett készíteniük. Megvizsgáltam, hogy a hallgatók mennyire tudtak a feltételeknek eleget tenni és ez vajon milyen módon tudta befolyásolni a teljesítményüket?
Determinant Factors of Digital Inclusion of Digital Divide Groups: A Tale of Smallholder Farmers of Bangladesh
Authors: Sheikh Mosa Shrabony , Berényi László
Published: April 2024

Digital inclusion is pivotal for smallholder farmers in developing nations, as it profoundly impacts agricultural productivity, food security, and rural livelihoods. Access to digital infrastructure, encompassing internet connectivity and hardware availability, plays a substantial role in enabling farmers to engage effectively with digital tools. Digital literacy and education initiatives are equally vital to empower farmers to navigate and leverage digital resources. The relevance of digital services in agriculture is instrumental in driving their adoption, but several influencing factors must be considered, among others: usability, education, data security, and financial and professional support. A collaborative partnership among the government, farmers, and other actors is indispensable for narrowing the digital divide among smallholder farmers in developing nations. Understanding these determinant factors is pivotal for crafting effective strategies that equip farmers with the digital tools needed for success in an increasingly interconnected world. The paper gives an overview of the influencing factors to establish the related strategies.
Validating UTAUT model for e-government adoption among employees: a pilot study
Authors: Abdul Wahi Nur Syuhaini , Berényi László
Published: April 2024

E-government has been proven to be a powerful tool to achieve the objective of better performance in the public sector. Technological advancement has accelerated the development of ICT in the public sector worldwide, thus affecting the structure and work process of government staff. Implementing egovernment requires a holistic understanding of the adoption and usage factors. Several studies are available in this field, mainly focusing on citizens. The contribution of this study is investigating the adoption of e-government among employees. The goal is to check the usability and validity of an instrument based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the Malaysian public sector. The analysis of a five-pillar model, including Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Use, shows Cronbach Alpha values greater than 0.9 for each pillar. The Kaiser-MeyerOlkin values are greater than 0.7 for four pillars, and it is 0.5 for the Use. Moreover, the Bartlett’s sphericity test is significant in each case. The principal component analysis confirmed the usability of the planned structure of the survey items.
A nikkel-bázisú szuperötvözetek forgácsolhatósági vizsgálatainak gazdasági háttere
Authors: Kónya Gábor
Published: April 2024

Egy kutatás sikerességét jelentős mértékben befolyásolja, hogy van-e mögötte megfelelő gazdasági háttér, valamint mennyire fontos az ipar számára a megoldandó feladat. Jelen publikációban feltárom a Nikkel-bázisú szuperötvözetek forgácsolhatóságának problémakörét, naprakészségét és gazdasági aktualitását. Kifejtésre kerül, hogy mely tényezők befolyásolják a szerszáméltartamot, valamint miért fontos a gazdasági érdekeken felül a minél hosszabb éltartam elérése.
Szén nanocsővel erősített reciklált PP kompozit mikroszerkezeti vizsgálata konfokális mikroszkóppal
Authors: Kun Krisztián , Bata Attila
Published: April 2024

A kutatás során járműipari alkalmazhatóságban jelentős fejlődés előtt álló femtoszekundumos lézer technológiával fröccsöntő szerszám formaadó felületén funkcionális felületi struktúrák létrehozása, majd azok hatástanulmánya történt. Cél olyan tudományos- és ipari értékkel bíró eredmények biztosítása, amelyekkel kimutatható, hogy a módosított formafelület a polimer ömledék áramlására-, ezen keresztül a fröccsöntött termékek kitöltésére milyen befolyást gyakorol. Alapanyagként járműiparban elterjed polipropilén, valamint újrahasznosított és szén nanocsővel erősített változata került alkalmazásra. Az átmásolódott struktúrák vizsgálata konfokális mikroszkóp segítségével történt.
Detection of Sedge Weeds Infestation in Wetland Rice Cultivation Using Hyperspectral Images and Artificial Intelligence: A Review
Authors: Abd Manaf Muhamad Noor Hazwan , Juraimi Abdul Shukor , Motmainna Mst. , Che’Ya Nik Norasma , Mat Su Ahmad Suhaizi , Mohd Roslim Muhammad Huzaifah , Ahmad Anuar , Mohd Noor Nisfariza
Published: April 2024

Sedge is one type of weed that can infest the rice field, as well as broadleaf and grasses. If sedges are not appropriately controlled, severe yield loss will occur due to increased competition with cultivated rice for light, space, nutrients, and water. Both sedges and grasses are monocots and have similar narrowed leaf characteristics, but most sedge stems have triangular prismatic shapes in cross sections, which differ them from grasses. Event sedges and grasses differ in morphology, but differentiating them in rice fields is challenging due to the large rice field area and high green color similarity. In addition, climate change makes it more challenging as the distribution of sedge weed infestation is influenced by surrounding abiotic factors, which lead to changes in weed control management. With advanced drone technology, agriculture officers or scientists can save time and labor in distributing weed surveys in rice fields. Using hyperspectral sensors on drones can increase classification accuracy and differentiation between weed species. The spectral signature of sedge weed species captured by the hyperspectral drone can generate weed maps in rice fields to give the sedge percentage distribution and location of sedge patch growth. Researchers can propose proper countermeasures to control the sedge weed problem with this information. This review summarizes the advances in our understanding of the hyperspectral reflectance of weedy sedges in rice fields. It also discusses how they interact with climate change and phenological stages to predict sedge invasions.
Modeling of Light Lifting Robotic Arm
Authors: Raffie Norfarahana Adibah , Amer Noor Hafizah , Syed Mohd Dardin Syed Mohd Fairuz , Hudha Khisbullah , Mohamed Ishak Saiddi Ali Firdaus
Published: April 2024

Robotic arms are often chosen as the primary manipulator for teleoperated robots specializing in executing tasks that require high skills from humans. The optimization of robotic arm design has been studied extensively using various types of optimization algorithms. However, studies validating and optimizing robotic arms with a high degree of freedom (DOF) using co-simulation techniques are scarce. This study presents the validation and modeling of a five-DOF robotic arm by observing the torques produced by each robotic arm joint using the co-simulation method between Solidworks and Simscape Multibody. The system is modeled in a Solidworks environment with full freedom and overall configurations. The model is then exported to Simscape Multibody for modeling processes. Several validation processes were conducted to validate the Simscape Multibody by comparing torques produced from the three-DOF robotic arm in Simscape with three DOF dynamic equations. Further validation was conducted using coordinate geometry of the end effector position in Solidworks, Simscape, and mathematical geometry models. The proposed co-simulation model agrees with the mathematical model with an average error of 7.6%. This study will likely provide a new approach to the co-simulation technique for systems with a high degree of freedom.
Análises de Complexidade Econômica Desenvolvimentistas: Uma Revisão Sistemática da Literatura (2010 a 2021)
Authors: Martins Fernandes Ferreira Fernan , Gustavo Benini Elcio , Alves Bezerra Leandro Carlos
Published: April 2024

Este artigo é uma Revisão Sistemática de Literatura (RS) acerca de pesquisas de complexidade econômica com vieses desenvolvimentistas. Espera-se poder contribuir com futuras pesquisas ao se fornecer um caminho de acesso iluminado a um conteúdo secundário relevante sobre o que foi publicado em análises de complexidade econômica, especificamente, àquelas que abordaram desenvolvimento econômico, estruturas produtivas e redes de comércio internacional – três categorias de análise. A partir da busca inicial pela string Economic Complexity nas bases de dados SCOPUS e Web of Science, um protocolo de ações para filtragem, recorte e refinamento de busca foi aplicado. O objetivo foi direcionar a RS para pesquisas que revelassem indícios e caracteres desenvolvimentistas exclusivamente das próprias pesquisas de complexidade econômica. Para tanto, os autores usaram de específicas estratégias de busca ao propor um conjunto de termos teóricos destrinchados das três categorias de análise. Embasando parte dos Critérios de Seleção dos artigos nesses termos teóricos, esta RS mostrou sua diferenciação e propósito, sem deixar de lado o rigor metodológico. O resultado das buscas retornou 204 artigos, dos quais, 85 foram selecionados, ficando divididos e classificados como low, high, e very high relevantes para com o propósito da pesquisa. Por fim, 18 artigos foram recomendados.
INTERSECÇÃO GÊNERO, CLASSE E RAÇA: REFLEXÕES SOBRE RACISMO E A POPULAÇÃO TRANSEXUAL NA PERSPECTIVA DO SERVIÇO SOCIAL BRASILEIRO
Authors: Aranha dos Santos Thiago Aparecido , Silva Honorato Andreia Agda
Published: April 2024

O racismo e a população trans são questões interconectadas e complexas que exigem atenção e ação por parte do Serviço Social. Neste artigo, abordaremos o tema do racismo frente a população trans e discutiremos o papel da profissão na promoção da justiça social e na superação das opressões. O racismo estrutural permeia todas as esferas da sociedade, incluindo o acesso a recursos, oportunidades de emprego, educação, saúde e justiça. No caso da população trans, essa opressão é agravada pela intersecção com a identidade racial, resultando em uma carga dupla de discriminação e marginalização. As pessoas trans negras, enfrentam uma série de desafios exclusivos no qual veremos no decorrer desse artigo. Para o Serviço Social, é essencial reconhecer e enfrentar o racismo que afeta a população trans. Neste sentido, as/os profissionais devem adotar uma perspectiva antirracista, trabalhando para promover a equidade racial e a justiça social. O trabalho aqui desenvolvido se dá por meio de pesquisas bibliográfica com objetivo de aprofundar os estudos cuja análises se balizam na perspectiva da teoria social crítica.
Experimental Analysis of Twin Screw Compressor's Energetic Efficiency Depending on Volume Ratio
Authors: Petrescu Valentin , Savescu Claudia , Stanescu Teodor , Nechifor Cristian , Niculescu Filip , Tomescu Sorin , Vasile Eduard
Published: April 2024

The current paper presents the results of the experimental analysis to assess and optimize the twin-screw compressor’s efficiency by varying the volume ratio. The experimental tests are conducted on the compressor's test bench, with a dedicated automation system inside the control console. The control and monitoring software allows parameter recording for subsequent visualization, data curation, and post-processing. The evaluation of screw compressor's performance requires a simultaneous analysis of the thermodynamic and flow processes, both of which depend on the compressor’s geometry. The obtained volumetric and adiabatic efficiencies are good, with values over 0.88 and 0.69, respectively.
Influence of Crumb Rubber and Recycled Steel Fibers on Hybrid Layered Reinforced Concrete Columns under Compression Load
Authors: Alasmari Hasan
Published: April 2024

Waste tires pose an environmental issue that causes health problems when discarded by either land burial or burning. The current study investigated the properties and characteristics of different-length hybrid layered columns of Recycled Steel Fibers (RSF) at a fixed ratio (0.6%) of the volume fraction with utilized fixed content (15%) of Crumb Rubber (CR). Nine square column specimens were prepared and tested under axial compression load to reveal the effect of RSF and CR content on hybrid layered reinforcement columns. The results revealed that as the RSF content increased concrete’s properties were enhanced. However, the inclusion of CR at the top layer resulted in performance reduction. Additionally, the layered structure with CR and RSF has higher characteristic properties, including higher load capacity and displacement. Moreover, adding 0.6% RSF to both layers and CR at the top led to a 120% increase in the toughness of the concrete loading capacity. This was followed by a reasonable improvement in displacement and ductility.
Statistical Analysis of the Factors influencing the In Situ U-Value of Walls
Authors: Rashmi Smita , Kumar Ravish
Published: April 2024

Building thermal performance testing requires in situ measurement techniques that are well supported and validated by simulation with statistics to improve the accuracy of the results. Local on-site performance of building components is different from the theoretical one, influenced by factors affecting the building's thermal conditions. The current paper reviews the factors influencing the measured U-value results in the heat flux method based on quantitative findings of other studies through regression and correlation statistics. The findings regarding the current status of knowledge are limited to in situ methods without detailed insights of response time, sensitivity analysis, and thermal boundary conditions in the local context. Regression analysis between wall characteristics, time duration, temperature difference, and the measured U-value shows a very strong and statistically significant impact of these variables on the accuracy of the measured U-value of low transmittance walls. The R2 value indicates that three variables can collectively explain 91% of the variance in the measured U-value. There is a linear correlation between the wall characteristics and the measured U-value and a non-linear correlation between the time duration, temperature difference, and the measured U-value. Future work will focus on developing a measurement framework that considers time-dependent variables, dynamic weather, and uncertainty with high accuracy for different boundary conditions.
A Novel Computational Mathematical Model for Team and Route Selection of the Emergency Response Operations
Authors: Lopes Ribeiro Dalvana , Andrade Longaray Andre
Published: April 2024

During the daily operations of emergency response, the decision maker is faced with the complex challenge of selecting a team and route in a short time period to respond and attend to the emergency. This study presents the combined use of the Analytic Hierarchy Process (AHP), the Élimination Et Choix Traduisant la Realité II (ELECTRE II), and the Dijkstra algorithm to deal with such situations. First, the AHP method is implemented to rank the aspects that are most relevant to a given emergency. Subsequently, this ranking is employed in ELECTRE-II to determine which emergency response team is best prepared to provide support. In the last stage of the proposed model, regarding the geographic coordinates of the team and the emergency, the Geographic Information System (GIS) utilizes the Dijkstra algorithm to regulate the most suitable route for assistance.
Efficiency Assessment of an Inverter based on Solar PV Energy in Baghdad
Authors: Nasir Bilal
Published: April 2024

The yearly energy yield of a Solar Photovoltaic (SPV) system is a rendition pointer utilized by the erector to determine the output energy generated by it. From the energy speculation, the payback period and the return on investment can be contemplated. The system energy yield formula consists of many parameters, the most important of which is the SPV inverter efficiency. The European and peak (maximum) efficiency factors from the inverter data sheet are typically utilized, but this utilization is unsound because the SPV does not always work at the peak of its effectiveness due to varying irradiance. The inverter's weighted efficiency is considered more sound as it deems the inverter output power peculiarities. The European weighted efficiency is the most widely accepted inverter efficiency determination. Since it is derived and documented on a rimmed European irradiance profile, it may not be appropriate for inverters constructed in different climatic conditions, especially in the equatorial and subtropical environmental regions. This work aims to formulate a fangled weighted efficiency equation for the inverter's work in the Iraqi environment (especially in Baghdad city as a case study) documented on the IEC 61683: 1999 Standard and Irradiance-Duration curve. The sophisticated formula is endorsed on experimental data from the field using an SMA-SB-4000-TL inverter. It was found that the speculated energy yield using the derived efficiency formula for the Baghdad environment closely matches the energy yield of an original 4.0 KW SPV inverter system with only 1% difference between the determined and acquired values. This means that the employment of the Baghdad weighted efficiency in place of the European or peak weighted efficiency will result in a sounder speculation of the system energy yield, return on investment, and payback duration of the SPV system project.
Comparison of YOLOv5 and YOLOv6 Models for Plant Leaf Disease Detection
Authors: Iren Ecem
Published: April 2024

Deep learning is a concept of artificial neural networks and a subset of machine learning. It deals with algorithms that train and process datasets to make inferences for future samples, imitating the human process of learning from experiences. In this study, the YOLOv5 and YOLOv6 object detection models were compared on a plant dataset in terms of accuracy and time metrics. Each model was trained to obtain specific results in terms of mean Average Precision (mAP) and training time. There was no considerable difference in mAP between both models, as their results were close. YOLOv5, having 63.5% mAP, slightly outperformed YOLOv6, while YOLOv6, having 49.6% mAP50-95, was better in detection than YOLOv5. Furthermore, YOLOv5 trained data in a shorter time than YOLOv6, since it has fewer parameters.
Dynamic Traffic Light Control System Based on Real-Time Traffic Density using IR Sensors
Authors: Bhavadharini M  , Dr. S. Rathinavel
Published: April 2024

As the world population continues to grow, the number of vehicles in daily use is increasing dramatically. Due to this, traffic congestion is becoming a major problem. Traffic congestion cause delays and stress among motorists and passenger. Various natural resources are not only depleting but also increasing air pollution. Although it seems ubiquitous, megacities are the most affected. At intersections, traffic light control systems are frequently utilized to regulate traffic flow. Currently, most traffic light systems use pre-time and countdown timers to control traffic flow. This paper proposes a novel approach for dynamic traffic light control based on real-time traffic density using readily available infrared (IR) sensors. The system strategically positions IR sensors at four-way intersections to detect the presence of vehicles, cyclists, or pedestrians approaching from each direction. Upon detection, a timer is initiated. If the IR sensor continuously detects activity for a predefined duration, the system prioritizes that direction by extending its green light phase. Conversely, if no activity is detected within a set timeframe, indicating low traffic density, the system immediately switches to the next signal sequence, optimizing signal timing for changing traffic patterns. This adaptive behaviour based on IR sensor data and intelligent algorithms aims to reduce congestion, improve traffic flow efficiency, and enhance overall urban mobility.
FEDRETAIL: A Framework for Distributed Retail Data Analysis and Learning Toward E-commerce 5.0
Authors: Sumit Chongder
Published: April 2024

Retail data analysis has been identified as a crucial component in the pursuit of E-commerce 5.0. The recent rapid development of Information and Communication Technology (ICT) has revolutionized retail data analysis by providing advanced technologies such as big data analysis and machine learning. However, the privacy of customers has become a significant concern, making retailers hesitant to share their customer data. This reluctance forms isolated data islands, hindering the realization of comprehensive retail data analysis. I propose a federated learning-based retail data analysis framework, FEDRETAIL, to address this challenge. This framework allows retail data analysis federations to be formed by several retailers. None of these retailers need to exchange their customer data with each other directly, and they always keep the data in their place to ensure their customers’ privacy. I apply the FEDRETAIL framework to analyze a retail dataset via different federated learning paradigms. The experimental results show that our framework not only guarantees the customers’ privacy but also effectively breaks the borders of data islands by achieving higher analysis quality. FEDRETAIL framework closely approaches the performance of centralized analysis, which requires data collection in a commonplace, posing a risk of privacy exposure.
Impact of ChatGPT on Learners
Authors: Mrs. Bareen Shaikh  , Mrs. Kavita Shinde  , Mr. Burhanoddin Hakim
Published: April 2024

The current research studies about how ChatGPT, an OpenAI language model built on the GPT-3.5 architecture, effectlearners. The study provides an overview of ChatGPT and discusses potential implications for students, including being able to deliver personalized help, improve proficiency in languages, and create an accessible learning environment. The article does draw attention to several challenges with ChatGPT, including over-reliance, significant privacy and security threats, and its impact on analytical and imaginative thinking. The analysis makes use of prior studies to give an in-depth review of the effects of ChatGPT on students, both good and bad. The article ends with suggestions on how to make optimal use of ChatGPT while addressing any potential drawbacks for students.
Survey on Deep Fake Detection using Deep Learning
Authors: Dr. Archana B  , Arjun K N  , Dhamini J  , Ghanalakshmi  , Swasthishree N S
Published: April 2024

The rise of deep fake technology poses significant challenges to the authenticity and integrity of visual content on digital platforms. This paper presents the development of a web application aimed at detecting deep fake images and videos through the implementation of advanced deep learning models. Leveraging research in the field of deep fake detection, this application integrates state-of-the-art algorithm like CNNs for accurate classification tasks. Key features of the application include a user-friendly interface allowing for the upload and analysis of images and videos, leveraging the trained models to detect potential deep fakes. Additionally, the web application incorporates a sophisticated detection methods to enhance accuracy and reliability. The deployment of the web application on popular platforms aims to provide users with a tool to verify the authenticity of visual content, thereby mitigating the potential negative consequences of deep fake manipulation. Continuous monitoring, updates, and adaptation to emerging deep fake techniques are prioritized to ensure the web applications effectiveness and relevance in an ever-evolving landscape of digital content manipulation
Cricket Score Predictor using Machine Learning
Authors: Om Channe  , Nomaan Sheikh  , Pranit Channe  , Pranshu Bhalekar  , Prof. Sachin Dhawas
Published: April 2024

In cricket, particularly the twenty20 format is most watched and loved by the people, where no one can guess who will win the match until the last ball of the last over. In India, The Indian Premier League (IPL) started in 2008 and now it is the most popular T20 league in the world. So we decided to develop a machine learning model for predicting the outcome of its matches. Winning in a Cricket Match depends on many key factors like a home ground advantage, past performances on that ground, records at the same venue, the overall experience of the players, record with a particular opposition, and the overall current form of the team and also the individual player. This paper briefs about the key factors that affect the result of the cricket match and the regression model that best fits this data and gives the best predictions. In these the score prediction includes linear regression, lasso regression and ridge regression whereas in winning prediction SVC classifier, decision tree classifier and random forest classifier are used. The model used the supervised machine learning algorithm to predict the winning. Random Forest Classifier used for good accuracy and the stable accuracy so that desired predicted output is accurate
Breaking Barriers: Real-Time Sign Language to Text Conversion Using Neural Networks
Authors: Saksham Garg
Published: April 2024

Sign languages bring life­ to deaf and hearing-impaired communitie­s around the world. But not many understand these­ vibrant languages, causing big communication issues. This paper looks at how ne­ural networks could convert sign language to text in real-time. We explore the difficulties in re­cognizing sign languages, current models using Convolutional Ne­ural Networks (CNNs) and Recurrent Ne­ural Networks (RNNs), and how transfer learning might boost accuracy. We­ also discuss where this technology could go ne­xt and how it could impact society.
Computer Aided Drug Design (CADD) Supported Medication: A Guide to Improved Patient Care
Authors: Sakshi Yadav  , Akansha Naithani
Published: April 2024

Computer Aided Drug Design (CADD) supported medication structure fuses a wide scope of hypothetical and computational methodologies that functions as significant component of present-day drug discovery. CADD strategies have made key commitments to the occasion of medications that are in clinical use or in clinical preliminaries. Such techniques have risen and developed together with trial approaches used in drug formulation. This incorporates different database and different instruments used in the zone of bioinformatics like BLAST, FASTA, DRUG BANK and so forth this strategy is utilized to break down, create and find drugs closely resembling biologically active molecules. The ligand-oriented computer aided drug designing helped study of ligand that are found to associate with the objective target of interest to search their 2D and 3D structures. The significance of those methods stands to theorize the nature and class of the given target. CADD methods can build the odds of perceiving the compounds with useful qualities, prompting development and extend the possibilities of getting a compound over the numerous obstacles of preclinical testing. It tends to be utilized for quick calculation of chemical libraries so as to direct and quicken the beginning period improvement of newly active compounds. It likewise incorporates a wide assortment computational methodology like virtual library, virtual screening, lead optimization and so on. Over the ongoing years, computer aided drug designing (CADD) has been otherwise called in silico screening that has risen as a compelling methodology in view of drug finding and progression through varied advanced attributes. In silico screening additionally makes an approach to combination and screen the chose mixes for new and better therapeutics. CADD and bioinformatics instruments convey advantages, for example, cost sparing, time to market, in-sight information of drug receptor interactions that accelerate drug disclosure and improvement
O feeling do rock: A Formação do Gosto nas Relações Organizadas de Vínculo entre músicos amadores e rock music
Authors: Azevedo Arthur Lopes , Fantinel Letícia Dias
Published: April 2024

Com este artigo, nos envolvemos nos debates acerca do gosto, que vêm ganhando espaço no campo dos Estudos Organizacionais em diferentes perspectivas teóricas. Nosso objetivo foi compreender o organizar das práticas musicais de amadores com base nas dimensões contextuais de vínculo, formação do gosto e o prazer decorrente deste processo. Adotando uma abordagem qualitativa de pesquisa, os dados foram coletados via entrevistas com músicos amadores da Grande Vitória e analisados a partir de uma técnica que aglutina elementos da análise de conteúdo e da análise em espiral. Os achados permitiram evidenciar a formatividade das “maneiras de musicar”, redes de práticas que emergem relacionalmente das “maneiras de ouvir” e “maneiras de tocar” e se organizam em torno do que chamamos “momentos de arrepios”, momentos de prazer experienciados pelos músicos em seus vínculos e práticas reflexivas de formação do gosto.
“Não vejo cor, vejo apenas pessoas”: o racismo color-blind e a persistência da desigualdade na América
Authors: Ribeiro Barbara Santana , Moreira-Primo Ueliton Santos , França Dalila Xavier de
Published: April 2024

Resenha-se a obra “Racismo sem racistas: o racismo da cegueira de cor e a persistência da desigualdade na América”, escrita pelo sociólogo estadunidense Eduardo Bonilla-Silva, em 2003 e publicada no Brasil em 2020. O autor centra-se no debate sobre o “racismo da cegueira de cor” (ou racismo color blind), conceito definido por ele como o estilo de racismo predominante na sociedade norte-americana, na era pós-movimento dos direitos civis, o qual nega a existência do racismo ao mesmo tempo em que o conserva sob a roupagem de ideologias liberais. Discute-se o racismo estrutural, que descreve o fenômeno como parte do sistema “normal” de funcionamento das sociedades racializadas, o que responsabiliza todos os sujeitos por sua manutenção, sejam aqueles abertamente racistas ou os que se silenciam diante de sua persistência. A partir das discussões apresentadas no livro, argumenta-se sobre suas relações com o racismo à brasileira, caracterizado pela mestiçagem e pelo mito da democracia racial, salientando sua forte negação.
Protection enhancement strategies of potential outbreaks during Hajj
Authors: Kheimi Abdulaiziz Mustafa , Bail Jean B. , Parrillo Steven J.
Published: April 2024

Objective: This study aimed to assist governments and organizers of mass gathering events in reviewing existing preventive measures for disease outbreaks to inform the adoption of enhanced strategies for risk reduction and impacts on public health.

Design: A cross-sectional, quantitative, descriptive study.

Setting: This study was conducted in a mass gathering of Hajj, an annual religious event in Mecca, Saudi Arabia.

Participants: A convenience sample of 70 personnel working in government ministries of Saudi Arabia (Ministry of Health, Ministry of Hajj, and Ministry of Interior) and the Saudi Red Crescent Authority involved in health management in Hajj, including policy formulation and implementation.

Main outcome measures: Perception and knowledge of health risks and outbreaks associated with Hajj.

Results: The majority of the respondents (60 percent) expressed concern about the potential for infection transmission during Hajj. The respondents also reported having or knowing a colleague, a friend, or a family member with a history of infection during or after Hajj. However, the respondents’ knowledge of the possible modes of infection of various diseases was limited.

Conclusions: Hajj is associated with various risks of outbreaks, and thus, better protection-enhancing measures are required. Training personnel involved in health management, including planners, coordinators, and healthcare providers, can help reduce the risks and prevent potential outbreaks.
Pediatric disaster preparedness curriculum across emergency medicine residencies
Authors: Ohana-Sarna Cahan Lea , Hart Alexander , Hertelendy Attila J. , Voskanyan Amalia , Weiner Debra L. , Ciottone Gregory R.
Published: April 2024

Objective: To assess pediatric disaster medicine (PDM) instruction in emergency medicine (EM) residency programs and to identify barriers to integrating these skills into EM training.

Methods: National survey study of United States EM Residency Program Directors (PDs) and Assistant PDs during the 2021-2022 academic year.

Results: Of the 186 EM residency programs identified, a total of 24 responses were recorded with a response rate of 12.9 percent. Importance of training was rated 5.79 (standard deviation 2.51) using the Likert scale ranging from 1 to 10. Out of 24 programs, 17 (70.8 percent) do not have any PDM training as part of residency training. Live drill, simulation, and tabletop were identified as most effective methods to deliver PDM training with the Likert scale score of 4.78, 4.6, and 4.47, respectively. Senior trainees’ level of knowledge/ skills with family reunification (Likert 2.09/5; chemical-biologicalradiological-nuclear explosive 2.95/5) and mass casualty preparation of the emergency department (3.3/5) as assessed by the respondents. The main barrier to education included logistics, eg, space and costs (Likert 3.7/5), lack of didactic time (3.7/5), and limited faculty knowledge, skill, or experience (3.3/5).

Conclusion: PDM training is lacking and requires standardization. This study highlights the opportunity for the creation of a model for EM resident education in PDM.
Managing CBRN mass casualty incidents at hospitals—Find a simple solution for a complex problem: A pilot study
Authors: Kippnich Maximilian , Schorscher Nora , Sattler Helmut , Kippnich Uwe , Meybohm Patrick , Wurmb Thomas
Published: April 2024

Objective: Chemical, biological, radiological, and nuclear (CBRN) incidents are a major challenge for emergency medical services and the involved hospitals, especially if decontamination needs to be performed nearby or even within the hospital campus. The University Hospital Wuerzburg has developed a comprehensive and alternative CBRN response plan. The focus of this study was to proof the practicability of the concept, the duration of the decontamination process, and the temperature management.

Methods: The entire decontamination area can be deployed 24/7 by the hospitals technical staff. Fire and rescue services are responsible for the decontamination process itself. This study was designed as full-scale exercise with 30 participants.

Results: The decontamination area was ready for operation within 30 minutes. The decontamination of the four simulated patients took 5.5 ± 0.6 minutes (mean ± SD). At the end of the decontamination process, the temperature of the undressed upper body of the training patients was 27.25 ± 1°C (81.05 ± 2°F) (mean ± SD) and the water in the shower was about 35°C (95°F).

Conclusion: The presented concept is comprehensive and simple for a best possible care during CBRN incidents at hospitals. It ensures wet decontamination by Special Forces, while the technical requirements are created by the hospital.
Volume 19, Number 1
Authors: Disaster Medicine American Journal of
Published: April 2024

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COVID-19 and climate change concerns: Matters arising
Authors: Amoah Anthony , Asare-Nuamah Peter , Limantol Andrew Manoba , Alhassan Abdul-Rauf Malimanga
Published: April 2024

Until the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, developing countries, especially countries in the African continent, battled with the impact of climate change on the food value-chain systems and general livelihood. In this study, we discuss climate change concerns post-COVID-19 and argue that the outbreak of the COVID-19 pandemic has exacerbated the vulnerabilities of most developing and emerging economies. This has heightened political tensions and unrest among such developing nations. We suggest enhancement and intensification of efficient and effective locally engineered adaptation strategies in the post-COVID-19 era for countries that have been susceptible to the impact of climate change and other recent shocks.
Climate change and health: The case of mapping droughts and migration pattern in Iran (2011-2016)
Authors: Sohrabizadeh Sanaz , Farahi-Ashtiani Iman , Bahramzadeh Amirhosein , Eskandari Zahra , Moradi Aioub , Hanafi-Bojd Ahmad Ali
Published: April 2024

Introduction: Migration and mobility of population have been reported as a common reaction to drought. There is historical evidence to suggest the health effects of droughts and human migration linkage in Iran. This study aimed to map the drought and migration patterns in Iran in 2011 and 2016 and explore their possible health impacts.

Methods: This sequential explanatory mixed-method study was done in two stages of spatial analysis and qualitative study. Data mapping was conducted through the equal interval classification and using drought, migration, and agriculture occupation data based on provincial divisions in Iran in 2011 and 2016. This qualitative study was conducted using the content analysis approach.

Results: The in-migration rate was higher in 2011 rather than 2016. Migration to cities was much higher than migration to villages in both years. The frequency of male migrants was higher than females in all provinces in 2011 and 2016. Physical and mental diseases as well as economic, sociocultural, education, and environment effects on health were extracted from the qualitative data.

Conclusion: A holistic picture of droughts and migration issues in Iran and their health consequences were achieved by the present research. Further research is needed to explore the determinants of health impacts of climate change in vulnerable groups. Public health problems can be prevented by adaptive and preventive policy-making and planning. This can improve the coping capacity of the population facing droughts and enforced migration.
Manufactured housing communities and climate change: Understanding key vulnerabilities and recommendations for emergency managers
Authors: Hamshaw Kelly A. , Baker Daniel
Published: April 2024

Manufactured housing communities (MHCs), commonly referred to as mobile home parks, provide an estimated 2.7 million American households with largely unsubsidized, affordable housing. Climate change threatens those who call these communities home by exacerbating known structural and social vulnerabilities associated with this housing type—including but not limited to increased risks to flooding, extreme temperatures, high winds, and wildfires. Climate change requires emergency managers to understand the diverse, integrated, and complex vulnerabilities of MHCs that affect their exposure to climate change risk. This article presents findings from an integrative literature review focused on the climate-related vulnerabilities of these communities described at three levels of scale: household, housing structure, and park community. It then draws on 15 years of engagement and action research with MHC residents and stakeholders in Vermont, including several federally declared flooding disasters, to distill key recommendations for emergency managers for assisting MHCs to prepare for and respond to emergencies. As climate change accelerates, emergency managers can increase efficacy by learning about the MHCs in their jurisdictions by leveraging the best available data to characterize risks, integrating MHCs into planning and mitigation activities, and engaging in conversations with stakeholders, including MHC residents and their trusted partners.
Penerepan Metode Bermain Peran (Role Play) Dalam Meningkatkan Minat Belajar Siswa Pada Mata Pelajaran IPS Kelas IV DI SDN 173249 Sibulan- Bulan
Authors: Julia ivanna Lina Adinda Krismasuci Hutabarat,
Published: April 2024

In an educational context, student interest in learning is very important, because high interest will motivate students to learn more enthusiastically and have a positive impact on achieving learning outcomes Role playing is a learning strategy that involves students in imaginary situations where they take on certain roles or characters. related to Social Studies (Social Studies) class IV. This study uses a Classroom Action Research (CAR) approach. The data collection techniques used in this study were observation, tests, and documentation. The research instruments were teacher observation sheets, student observation sheets, and evaluation question sheets.