bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Synthesis of Psychological Interventions for Mental Health
Authors:   , Plessen Constantin Yves
Published: May 2024

This thesis explores state-of-the-art and novel methods of research synthesis to investigate psychotherapy and self-help interventions for common mental health disorders. By demonstrating a range of synthesis techniques, the thesis provides a comprehensive examination of the evidence currently available in the field. The thesis progresses from conventional meta-analyses to multiverse meta-analyses and meta-meta analyses to offer a broader understanding of the state of the research field. Through this systematic approach, the thesis aims to contribute to a deeper understanding of the factors influencing efficacy estimates of psychotherapy and self-help interventions, ultimately supporting evidence-based decision-making in clinical practice and informing future research directions.
Chapter 1 provides a general overview of the concepts of this thesis, namely mental health disorders such as depression, anxiety, and irritable bowel syndrome; research synthesis techniques like meta-analyses, multiverse meta-analyses, and umbrella reviews; and psychological interventions including psychotherapy, internet-based and smartphone-based interventions. Chapter 2 uses conventional meta-analytic methods to investigate whether self-help interventions are effective in reducing symptoms of irritable bowel syndrome. The results suggest that self-help interventions, particularly online-based ones, are effective in reducing symptom severity and improving the quality of life for patients. Chapters 3 and 4 explore the effectiveness of psychotherapy for depression, and Chapter 5 investigates whether digital psychological therapies are effective, using a multiverse meta-analysis approach. This novel approach conducts extensive sensitivity analyses to investigate the robustness of meta-analytical findings by analyzing whether most meta-analytic strategies yield similar results. The results suggest that these therapies are all clinically meaningful. However, different data-analytical decisions—such as comparisons with wait-list control groups, inclusion of studies with high risk of bias, different statistical models, and the lack of correction for publication bias—may have inflated the effect sizes of these treatment outcomes. Chapter 6 combines multiverse meta-analyses with umbrella review methodology to investigate whether smartphone-based and web-based psychological interventions are effective for treating anxiety disorders. Results showed that guided and internet-based interventions were more effective than unguided and smartphone-based interventions. Notably, digital interventions were more effective for social and generalized anxiety disorders compared to other anxiety types. However, the low quality of evidence in most of the included studies warrants caution in interpreting the findings.
Finally, the thesis concludes with a general discussion of the findings in Chapter 7. Limitations, suggestions for future research, and implications for clinical and research practice are presented.
Plant leaf vein and outline feature extraction using fractal and computer vision approaches
Authors: Tabassum Nadia
Published: May 2024

The study focuses on utilizing plant leaf characteristics for plant identification and disease detection. Leaves are pivotal for gathering information about plants. Leveraging computer vision and smart agricultural technologies, the proposed model discerns venation and texture features in various plant leaves. This research utilized a modified dataset derived from the Flavia leaf image dataset, comprising images of 32 different plant species. The dataset was divided into two subsets (one with 1907 images and another with 1000 images) to differentiate between tuned and untuned image processing. Techniques such as GLCM, LBP, Gabor filters, Fractal Dimension, and box counting were employed to extract leaf texture features, including venation patterns. The study conducted four experiments with training and testing splits of 70/30 and 80/20. A novel method combining SVM with fractal dimension analysis was benchmarked against six classifiers (Random Forest, KNN, DNN, Naïve Bayes, Decision Tree, and SVM), achieving an impressive accuracy of 88% and a Fractal Dimension of 1.8709. This research holds significant potential for advancing digital and modern agriculture, particularly in the early detection of plant diseases and accurate plant identification.
HOMENS E MULHERES NA ENFERMAGEM: UMA ANÁLISE HISTÓRICA QUANTITATIVA DOS ESTUDANTES NA UNIVERSIDADE DE BRASÍLIA
Authors: Rodrigues Thamyres de Sousa , Faustino Andréa Mathes
Published: May 2024

Introdução: Há uma forte influência social e cultural, que resulta na associação entre o ato de cuidar, bem como as demais práticas profissionais da enfermagem com a figura feminina, fator que se repete mesmo diante do contexto atual, que, comparado ao século anterior, é mais favorável a inserção de homens na enfermagem. Objetivo: Analisar dados retrospectivos em relação à quantidade de homens e mulheres, enquanto ingressantes e egressos pelo Curso de Enfermagem em uma universidade pública federal, durante os anos de 1981 a 2019. Método: Estudo de natureza histórico-social, documental, com análise quantitativa, fundamentado no levantamento e sistematização de documentos históricos armazenados em setores e unidades da Universidade de Brasília (UnB). Resultados: Foi registrado um total de 1461 estudantes ingressantes no bacharelado, dos quais aproximadamente 76,7% eram mulheres e 23,3% eram homens. Em relação à licenciatura, verificou-se o ingresso de 441 discentes, sendo que destes, 373 eram mulheres (84,6%) e 68 eram homens (15,4%). A amostra final referente aos estudantes concluintes foi de 705 egressos, de modo que 626 eram mulheres, o que equivale a 88,8% do total, e 79 homens, representando cerca de 11,2% de todo  quantitativo de egressos. Conclusão: Assim como apontado em outros estudos semelhantes, a pesquisa demonstrou que a maioria dos ingressantes e egressos do curso de Enfermagem da Universidade de Basília são do sexo feminino, característica que se mantém relativamente estável mesmo com as mudanças temporais, ao longo dos trinta e oito anos de análise.
A IMPORTÂNCIA DA GESTÃO ESCOLAR DEMOCRÁTICA
Authors: Resende Vanessa Xavier Silva , Vieira Mirian Alves , Silva Pablo Cruz da
Published: May 2024

Este presente artigo traz a importância de conhecer o trabalho democrático na gestão escolar, quando se ouve a palavra democrática já se sabe que são grupos de pessoas dialogando sobre algo para ser resolvido ou ate mesmo para que toda equipe fique bem informada, do que se passa dentro do estabelecimento, um ouvindo o outro, e dentro da escola não pode ser diferente, acontece e tem que acontecer a democracia. Logo Não é fácil entender tanta gente ao mesmo tempo, até então cada membro da equipe escolar tem uma forma de pensar, e todos tem que trabalhar juntas, ser participativo, interativo e criativo, lembrando que tem pessoas autoritárias, egoístas. Desde já a instituição tem que contar com um bom gestor escolar e que esteja capacitado e preparado emocionalmente para enfrentar esses desafios. A gestão democrática funcional dentro da instituição escolar se torna mais segura tanto para família escolar quanto a comunidade, pois todos ali participam do trabalho coletivo dentro da escola. O exercício contínuo do gestor democrático desenvolve uma tarefa mais eficaz para todos, sem ofender a sua equipe pedagógica, lembrando que também fortalece a redução de preconceitos e desigualdade sociais que acontece dentro e fora da escola. O gestor democrático se torna facilitador, o ambiente fica mais agradável e humanizado, onde a equipe e a comunidade da escola, podendo deste modo ter a prioridades e participações com autonomia e determinação, com sinceridade em tudo que faz em prol da melhoria da instituição escolar.
CRIANÇAS INDÍGENAS KAIAPÓ NA REDE REGULAR DE ENSINO: UM ESTUDO DE CASO DA ESCOLA MUNICIPAL DE ENSINO FUNDAMENTAL PASTOR JOVERCI ALVES, EM REDENÇÃO - PA
Authors: Sousa Antonia Gomes de , Soares Cássia Fontinele , Abreu Diuly Gonçalves de Araújo , Damasceno Kananda de Souza Mendes , Silva Michelle de Sousa , Rebelo Solange dos Santos , Souza Waldirene Batista de
Published: May 2024

A escola como instituição cultural e ideológica deve atender questões de convívio com a diversidade de maneira democrática de convivência com as diversidades socioculturais presentes no ambiente escolar. Nesta perspectiva este estudo discutiu a inserção de crianças indígenas na escola publica da rede regular de ensino, no qual teve como intuito verificar como a escola aborda a educação e direitos humanos no seu processo de ensino com o foco na diversidade sociocultural regional dos povos indígenas Kaiapó. Para tanto, realizou-se estudo de caso na Escola Municipal de Ensino Fundamental Pastor Joverci Alves, localizada no município de Redenção-PA que atende crianças indígenas no sistema educacional não indígena. Assim embasado na pesquisa bibliográfica e de campo fica evidenciado que o ensino de direitos humanos é ainda tímido diante das ações realizadas na unidade de ensino pesquisada, mesmo atendendo um público diferenciado, questões de diversidade culturais são abordados apenas em casos isolados do processo de ensino.
Beef Cattle Production and Market of Beef Cattle Farmer in Lamphun Province
Authors:   Division of Livestock Extension and Development, Department of Livestock Development, Ratchathew, Bangkok 10400, Chaimonglol Thitiporn , Maneerat Warinthorn ,   School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120, Putsakum Monticha ,   School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi 11120
Published: May 2024

The objectives of this research were to study: 1) beef cattle production of farmers, 2) beef cattle markets in Lamphun province, and 3) problems and recommendations on beef cattle production in Lamphun province. The research samples consisted of two groups. Group 1, for quantitative research, were 210 beef cattle farmers in Lamphun province who had more than 21 head of beef cattle each. The data were collected using questionnaires and analyzed by descriptive statistics as percentage, mean, maximum, minimum and standard deviation. Group 2, for qualitative research, were 13 key informants who were representatives of beef cattle farmers and stakeholders in beef cattle production and market in Lamphun province. The data were collected by in-depth interview and analyzed by content analysis. The results showed that: 1) Most of farmer were male (about 93.33 %) with average ages of 42±34.58 years. Approximately 43.81 % were educated at primary level and had 35±26.15 years of experience in beef cattle production. Lamphun province had two types of beef cattle production which were 95.24% independent beef cattle farmers and 4.76% beef cattle community enterprise members. Farmers raised 4 types of beef cattle which were purebred beef cattle (50.71%), fattening beef cattle (31.44%), culled beef cattle (13.31%) and fattening quality beef cattle (4.54%). 2) Beef cattle markets in Lamphun province included beef cattle markets and beef markets. Beef cattle were sold at the farms, at beef cattle and buffalo markets and beef cattle fattening market, while butchered beef was sold through local markets in Lamphun province. And 3) the problems in beef cattle production were in beef cattle breeds, feed and farm management. The recommendations for beef cattle production were that beef cattle farmers should establish collaborative groups to develop beef cattle fattening quality production, and relevant agencies should advise and help farmers in farm management, implementing standard slaughterhouse and sources for selling beef cattle.
Factor Affecting Decision Making on Madan (Garcinia Schomburgkiana Pierre.) Cultivation of Farmers in Nakhon Nayok Province
Authors:   Department of Agricultural Extension and Communication, Kasetsart University, Lat Yao District, Bangkok 10900, Chaivut Kantawat , Sriboonruang Patcharavadee ,   Department of Agricultural Extension and Communication, Kasetsart University, Lat Yao District, Bangkok 10900, Choocharoen Chalathon ,   Department of Agricultural Extension and Communication, Kasetsart University, Lat Yao District, Bangkok 10900
Published: May 2024

The objectives of this research were to study: 1) personal factors and economic factors, 2) practices for Madan cultivation, 3) levels of decision-making on Madan cultivation, 4) the difference between personal factors and economic factors affecting the decision-making on Madan cultivation, and 5) problems and suggestions regarding Madan cultivation. Sample sizes consisted of 124 farmers who plant Madan in Nakhon Nayok province. Data was collected using an interview record. Statistical analyses included frequency, percentage, mean, standard deviation, minimum, maximum, t-test, and F-test. The results of the research revealed that most of the farmers were female, with an average age of 59.33 years, and educated at primary school and lower primary school. These farmers received information about Madan from personal media including relatives and inherited from ancestors. The results from this research showed that decision-making of farmers on Madan cultivation depend on gender, number of laborers, productivity, sales of produce, and source of money with a significant level at 0.05, 0.01. The problems of cultivation were intermittent rain, oversupply, processing of Madan for export, and government support.
Effect of Biochar on Soil Fertility Change on Sandy Loam Soil and Clay Soil Under Greenhouse Condition
Authors:   Soil science group, Agricultural Production Sciences Research and Development Office, Department of Agriculture. 50 Phaholyothin road, Ladyao, Chatchuchak, Bangkok 10900, Kueanoon Chattanaporn , Udpuay Sainam ,   Soil science group, Agricultural Production Sciences Research and Development Office, Department of Agriculture. 50 Phaholyothin road, Ladyao, Chatchuchak, Bangkok 10900
Published: May 2024

Biochar derived from agricultural residue can be used for soil improvement to enhance soil fertility and soil chemical, physical and biological properties. The objective of this research was to study the effects of biochar on soil fertility of sandy loam soil and clay soil in greenhouse condition. Treatments were laid out in 2x5 Factorial in RCB with four replicates. The first factor was two soil types: 1) Clay soil (Cl) and 2) Sandy loam soil (SL). The second factor was five biochar (BC) rates: 0 16 32 48 and 64 g/10 kg soil (equaling to 0.5, 1.0, 1.5 and 2.0 ton/rai). In each treatment; nitrogen, phosphate and potash fertilizers were applied (based on soil analysis). The results showed that the addition of biochar to clay soil increased available soil nutrient and total nutrient uptake in plant higher than (p<0.01) sandy loam soil. Biochar application to clay soil significantly increased growth and dry matter of maize (p<0.01). The addition of biochar also showed a tendency to increase soil organic matter and exchangeable potassium in clay soil higher than in sandy loam soil (p<0.01). However, available phosphorus in clay soil was lower than sandy loam soil. Moreover, it was found that the soil-biochar application in both soils types increased nitrate retention greater than the soil without biochar. The results of this study indicated that biochar can be used to increase the fertility of the clay soil at the rate of 1.5 tons/rai.
Bioremediation of Wastewater Contaminated with Dyes, Rhodamine B Using Alginate Immobilized Cell of Spirulina platensis
Authors:   Program in Fisheries Science. Division of Animal Production Technology and Fishery, School of Agricultural Technology.  King Mongkut’s Institute of Technology Ladkrabang. Bangkok. 10520, Sriputtho Wilasinee , Jongput Buppha ,   Program in Fisheries Science. Division of Animal Production Technology and Fishery, School of Agricultural Technology.  King Mongkut’s Institute of Technology Ladkrabang. Bangkok. 10520, Ruangsomboon Suneerat ,   Program in Fisheries Science. Division of Animal Production Technology and Fishery, School of Agricultural Technology.  King Mongkut’s Institute of Technology Ladkrabang. Bangkok. 10520
Published: May 2024

Bioremediation of wastewater contaminated with rhodamine B dyes using alginate immobilized cell of Spirulina platensis was studied. Factors affecting the dye adsorption such as pH, contact time, adsorbent dose, and initial dye concentration were investigated. The results showed that the optimum pH for dye adsorption was at 2 with an adsorption capacity of 0.86±0.00 mg/g. The adsorption was very rapid and reached equilibrium within 180 min with an adsorption capacity of 1.24±0.00 mg/g. Dye adsorption capacity by this alga was reduced at high adsorbent dose whereas the increase of initial concentration of dye increased the adsorption capacity. The adsorption isotherm correlated with Langmuir with the maximum adsorption capacity (qm) of 52.70±3.18 mg/g. Adsorption kinetic correlated with pseudo-second order. The adsorption rate limiting step were film diffusion rate and secondary rate of intraparticle diffusion. This study suggested that alginate immobilized cell of S. platensis can be applied for treatment of wastewater contaminated with rhodamine B.
Influence of Rhizobium Co-inoculated with Arbuscular Mycorrhiza and Phosphate Solubilizing Bacteria on the Growth of Peanut Tainan 9 variety
Authors:   Division of Soil Resources and Environment, Faculty of Agricultural Production, Maejo University, Chiang Mai 50290, Inthasan Jiraporn , Dechjiraratthanasiri Chatprawee ,   Department of Soil Science, Faculty of Agriculture, Kasetsart University, Bangkok, 10900
Published: May 2024

The study of rhizobium co-inoculated with arbuscular mycorrhiza and phosphate solubilizing bacteria on peanut growth in pot experiment was laid out on completely randomized design (CRD). The experiment consisted of 5 treatments; 1) control (without microorganism), 2) rhizobium (R: Rhizobium sp.),3) R + arbuscular mycorrhiza (R+AM),4) R + Phosphate Solubilizing bacteria (R+PSB: Rhizobium sp. + Bacillus sp.) and 5) R+AM+PSB with 4 replications. The results showed that co-inoculated of microorganisms (R+AM+PSB) provided the highest root length, and the highest fresh weight and dry weight of shoot and root. The treatment of R+AM showed the peak of nodules number (115 nodules/plant), nodules fresh weight and dry weight (0.65 and 0.16 g/plant). R+AM+PSB treatment increased the percentage of AM root length colonized at 26.64%. However, total nitrogen content in peanut shoot was highest in R+PSB. The concentrations of phosphorus and potassium in peanut shoot and root parts were not significant among treatments. Co-inoculate of R and PSB produced the highest nitrogen fixation at 87.73 mg N/plant.
Effects of Methyl Jasmonate on Quality and Phytochemical Contents of Postharvest ‘Kamphaeng Saen 42’ Mulberry Fruit
Authors:   Division of Plant Science Textiles and Design, Faculty of Agriculture and Technology, Rajamangala University of Technology Isan, Surin Campus, Muang, Surin 32000, Kammapana Laddawan
Published: May 2024

The ‘Kamphaeng Saen 42’ mulberry fruit is consumed fresh and is rich in nutrients. However, it has a short shelf life of only 1-2 days under room temperature conditions. This research aimed to study the effects of methyl jasmonate (MeJA) on quality and phytochemical content of postharvest 'Kamphaeng Saen 42' mulberry fruit. The fruits were fumigated with 0 (control), 10, and 20 µmolL-1 MeJA at 20 °C  for 6 h, then stored at 10 ± 2 °C, 90 ± 2 relative humidity (RH) for 8 days. The results showed that fruits treated with 10 µmolL-1 MeJA were most effective in retarding weight loss, and all treated fruits tended to exhibit reduced spoilage compared to the control, although the differences were not significant. Additionally, fruit treated with 10 µmolL-1MeJA showed a significant increase in phytochemicals and antioxidant activities; their total ascorbic acid and total phenolic contents were higher than in other treatments (p<0.01). Fruit treated with 20 µmolL-1 MeJA had a significantly increased skin color change (p< 0.05), resulting in the highest anthocyanin content. These results suggested that MeJA treatment effectively maintains quality and boosts phytochemical content in postharvest 'Kamphaeng saen 42' mulberry fruit.
BRAIN NEOPLASM IDENTIFICATION USING DEEP LEARNING
Authors:   Assistant Professor, Department of Computer Science and Engineering, Jai Shriram Engineering College, Tirupur., R MS..PRAVEENA
Published: May 2024

This study offers a powerful brain tumor detection system that makes use of deep learning techniques, especially the VGG16 learning algorithm and Convolutional Neural Network techniques (CNN). The ultimate objective of the recommended strategy is to enhance the accuracy and efficiency of identifying tumors in magnetic resonance imaging (MRI) images.. Utilizing CNN allows the model to automatically extract intricate features from input images, while VGG16, renowned for its deep architecture, contributes to a more intricate understanding of complex patterns. The integration of these algorithms empowers the system to discern subtle nuances indicative of brain tumors, providing a reliable and swift diagnostic tool for medical practitioners. Experimental results demonstrate the system's effectiveness in achieving high accuracy rates, showcasing its potential as an invaluable asset in early tumor detection and subsequent medical intervention. KEYWORDS: CNN, Brain tumor, Machine learning, Medical imaging
IOT-Based Air Purifier with Quality Monitoring .
Authors:   Student of Mechanical Engineering Department, Nadimpalli Satyanarayana Raju Institute of Engineering and Technology (Autonomous), Visakhapatnam – 531173., G ATCHUTH
Published: May 2024

The aim of this project is to develop an intelligent air purifier with quality monitoring capabilities to reduce indoor air pollution and mitigate health risks. With indoor air quality becoming a growing concern, especially in densely populated areas like India where a significant portion of the population is engaged in agriculture, there is a pressing need for innovative solutions. The "Design and Fabrication of Smart Air Purifier with Quality Monitoring" system is designed to address this need by minimizing indoor air pollution while enhancing monitoring accuracy and efficiency. The proposed system features a multipurpose autonomous air purifier equipped with quality monitoring sensors, controlled via an ESP module. Field tests demonstrate the system's successful operation, with the air purifier effectively removing pollutants while monitoring air quality parameters in real-time. Keywords: Smart Air Purifier, Quality Monitoring, ESP-Module, Indoor Air Pollution
OPTIMIZATION OF CUTTING PARAMETERS TO ENHANCE SURFACE FINISH
Authors:   UG Students, Department of Mechanical Engineering, Suman Ramesh Tulsiani Technical Campus - Faculty of Engineering, Kamshet, Pune, Maharashtra, PRAMOD KOSHTI
Published: May 2024

The Objective of this project work is to Productivity and Surface finish improvement in CNC Die and Punch machining through optimization in cutting parameters. This technical paper studies the different machining parameters i.e. DOC, cutting feed and cutting speed by using different material cutters like cemented carbide cutters, HSS cutters, Insert types cutters. In this thesis an attempt to make use of Japanese optimization technique to optimize cutting parameters during high-speed milling of aluminum alloy using cemented carbide cutting tool.
E-COMMERCE MANAGEMENT USING WEB3 TECH
Authors:   Sri Manakula Vinayagar Engineering College (SMVEC) Puducherry, India, A Sowbarnika
Published: May 2024

Blockchain and NFT tokens will play an important role in the technology sector in the near future, and this process may help us to prevent scams in online exchange products as well as generate worthy trust in society. Hundreds of complaints have been filed in which the buyer or seller claimed to be defense personnel and displayed fake ID proofs to gain trust. Because Traditional Marketplace currently lacks a feature for reviewing sellers, users who want to buy products have little doubt about whether the seller can be trusted with the items they sell. Users can use it to determine whether a seller is reliable or not. Also, as a reference for purchasing items from the seller using NFT tokens. The Web3 is advancing more quickly in our society. Hopefully, it will have the widest possible audience for its reliable exchange, ownership transparency, and certified products. An NFT marketplace is a gateway to trade digital assets.The latest web assets, from simple artwork to expensive asset exchange, are available for purchase and sale on the NFT marketplace. Non-fungible tokens' ownership verification capabilities are their main advantage. Given that they are on a blockchain network, NFTs can help to link ownership to a single account. Since the blockchain can permanently store information about the product, checking for rarity and authenticity will soon be a thing on physical products too. In the rapidly evolving landscape of online marketplaces, the emergence of NFT (Non-Fungible Token) technology has ushered in a new era for both the sale of new and used products. This abstract delves into the dynamics of an NFT marketplace that caters to a diverse range of commodities, offering a seamless platform for buyers and sellers alike. This innovative marketplace leverages blockchain technology to tokenize both new and used products, providing each item with a unique digital identity that is securely stored on the blockchain. The use of NFTs ensures authenticity and provenance, instilling trust among users and mitigating the risk of counterfeit goods. The platform employs smart contracts to automate transactions, streamlining the buying and selling process while reducing the need for intermediaries.
Advanced Dietitian Using Machine Learning
Authors:   Department Of Computer Science and Engineering  IIMT College Of Engineering, Prakash Ujjwal
Published: May 2024

The "Advanced Artificial Intelligence Dietitian" (AI-Dietitian) project explores the potential of AI to revolutionize personalized nutrition. Traditional dietary approaches often struggle with individual complexities and lack continuous guidance. We propose an AI-powered system that transcends these limitations, offering: · Comprehensive Data Integration: The AI-Dietitian analyzes diverse data sets, including medical records, genetic information, activity trackers, and food intake sensors, building a holistic understanding of individual needs and preferences. · Adaptive & Personalized Plans: Leveraging advanced machine learning algorithms, the AI-Dietitian generates dynamic, personalized meal plans that adapt to real-time data and user feedback, ensuring continued effectiveness and adherence. · Continuous Coaching & Support: The AI-Dietitian acts as a virtual coach, providing real-time feedback, nutritional education, and motivational support through natural language interaction and personalized content. · Predictive & Preventative Healthcare: The AI-Dietitian leverages its predictive capabilities to identify potential health risks and recommend preventative dietary interventions, promoting long-term health and well-being. This project addresses the limitations of traditional dietetics and explores the ethical considerations of AI in healthcare. We believe the AI-Dietitian has the potential to democratize personalized nutrition, promoting healthier communities and reducing healthcare costs. Keywords: Artificial Intelligence, Machine Learning, Personalized Nutrition, Health Coaching, Predictive Healthcare, Ethical AI
Evidence Vault
Authors:   Shah And Anchor Kutchhi Engineering College  Mumbai, India, Singh Sanket
Published: May 2024

Ensuring the integrity of evidence is paramount within the realm of digital forensics. The preservation of evidence gathered at a crime scene is essential for concluding investigations and delivering justice to those involved. Hence, it is imperative to safeguard this evidence from any form of tampering. The process that upholds the reliability of evidence is known as the "chain of custody." Failure to maintain the chain of custody can render the evidence inadmissible in court, potentially resulting in the dismissal of the case. To address these challenges and promote an eco-friendly approach, there is a need to modernize the forensic evidence protection system through digitalization. Blockchain technology offers a promising solution in this regard. Blockchains are decentralized digital ledgers that chronologically record transactions through cryptographic signatures. These transactions are organized into blocks and are accessible to all participants within the blockchain network. In conjunction with this, the Interplanetary File System (IPFS) serves as a network file system that complements the blockchain. The current research aims to develop a system that leverages blockchain technology to digitize the forensic evidence protection system while preserving the chain of custody. This approach is rooted in the principles of blockchain and the utilization of IPFS. Keywords: Evidence, Blockchain Technology, Digital Forensics, Chain of Custody, IPFS, Cryptography.
A study of the impact of cloud based accounting on maintenance of Accounting Records in the Business
Authors:   S.N. Arts D.J.M. Commerce and B.N.S. Science College Sangamner, . L.B . Malusare
Published: May 2024

Accounting is the language of business, serving every trade since its inception. The emergence of accounting software using cloud technology has improved and significantly changed accounting practices, one of the tremendous IT innovations of the last decade. Today the business world is changing and becoming more competitive and sophisticated due to the advancement of cloud based technologies. Like other areas of business, accounting has also adopted cloud computing solutions to provide relevant and specific information as well as a real-time overview of the business for all stakeholders. Although cloud-based accounting is becoming more and more common, many business owners and professionals are not entirely sure what it is, what its benefits are, or how it will shape the future of accounting. This paper has been prepared in an attempt to include a theoretical overview of cloud based accounting with its concept, benefits, comparison with traditional accounting and some other important aspects that will shape the accounting profession in the coming years. In this paper primary data has been collected and analyzed to obtain information about the use and benefits of cloud based accounting software.
BLOCKCHAIN BASED SYSTEM TO DETECT COUNTERFEIT PRODUCTS IN SUPPLY CHAIN
Authors:   Assistant Professor , Department Of Computer Engineering, Late G N Sapkal College Of Engineering Anjaneri, Trimbak Road, Nashik, Maharashtra , India., Salvankar Mayuresh
Published: May 2024

Blockchain-Based Supply Chain Management is a novel approach to enhancing the transparency, security, and trustworthiness of supply chains. In this study, we explore the design and implementation of a blockchain-based system that enables manufacturers, suppliers, and customers to collaborate seamlessly in tracking and verifying product information. The proposed system leverages blockchain’s inherent features, such as decentralization, tamper-resistance, and transparency, to reduce counterfeiting and build trust in the supply chain. We discuss the architecture and key components of the system, including the role of SQL databases and Metamask wallet integration. Additionally, we highlight the process flow, from manufacturers assigning unique serial numbers to customers verifying product authenticity through QR code scans. [1] This research presents a comprehensive solution for supply chain management, offering potential applications beyond product tracking, including in banking, healthcare, and e-commerce. Blockchain innovations have acquired interest in the course of the most recent years. One of the most talked about issues is currency exchange, but its application is not limited only to Digital currency. so it has the potential to influence different business sectors. Blockchain technology has brought greater transparency and ease in large transactions. We can detect counterfeit goods using blockchain technology. The question that arises when buying any item in today’s world is whether it is fake or not. And the lack of these things has been shown a huge impact on economic progress. Therefore, in order to curb all counterfeit goods, it is important to bring transparency about the goods to the notice of the consumers. The growing presence of counterfeit and unsafe products in the world is a cause for concern and blockchain technology has taken the next step towards its complete annihilation. [2] Key Words: Blockchain, Supply Chain Management, Counterfeiting, Transparency, Product Authentication, Fake Product Detection, Blockchain, Metamask
IoT-BASED COAL MINE WORKER MONITORING SYSTEM USING IOT
Authors:   Assistan professor, Dept of CSE, Dhanalakshmi Srinivasan Engineering College, Perambalur-621212., K ASWIN
Published: May 2024

The coal mining industry faces numerous occupational hazards, with worker safety being a paramount concern. In response to this challenge, this paper proposes an IOT-based Coal Mine Worker Monitoring System (CMWMS) designed to enhance the safety and well-being of coal miners. The system integrates wearable sensors, wireless communication, and data analytics to continuously monitor vital signs, environmental conditions, and location information of mine workers in real time. Through the deployment of wearable devices equipped with sensors for measuring physiological parameters such as heart rate, body temperature, and respiratory rate, along with environmental sensors for detecting gas levels and ambient temperature, the CMWMS provides comprehensive monitoring capabilities. Data collected from these sensors are transmitted wirelessly to a central monitoring station where sophisticated algorithms analyze the information for early detection of potential health risks or hazardous conditions. Additionally, the system incorporates geo-location technology to track the movements of miners within the mine, enabling rapid response in case of emergencies such as accidents or cave-ins. By providing timely alerts and actionable insights, the IOT-based CMWMS empowers mine operators to proactively manage safety risks, mitigate accidents, and safeguard the well-being of coal mine workers. This paper discusses the architecture, components, and functionalities of the proposed system, along with its potential impact on improving safety standards in the coal mining industry. Keywords: Internet of Things, Temperature Sensor, Smoke Sensor, Humidity Sensor, Arduino Microcontroller
COLLEGE PLACEMENT ASSISTANCE FOR SAPKAL KNOWLEDGE HUB
Authors:   G. N. Sapkal College of Engineering, Nashik, N. R. Wankhade
Published: May 2024

The college placement assistance project is a web-based application that aims to facilitate the placement process of students and companies in an efficient and convenient way. The project consists of three modules: student, company, and admin. The student module allows the students to register, login, update their profile and academic details, view and apply for various job and internship opportunities posted by the companies, view their status and offer letters, and get placement assistance from the admin. The company module allows the companies to register, login, post their job and internship requirements, view and select the eligible candidates, and send offer letters. The admin module allows the admin to manage the users and companies, provide placement assistance to the students by uploading training documents, and view the statistics and graphs of the placement process. The project uses Python as the programming language, Django as the web framework, MySQL as the database, and HTML, CSS, and JavaScript as the front-end technologies. The project aims to reduce the manual work and errors involved in the placement process, and provide a platform for students and companies to connect and communicate easily. Key Words: Placement, Companies, HR, TPO, Admin, Assistance.
Baby Vaccination Web Application
Authors:   Department of Computer Engineering Nashik, India, Mahale" Nikita Shantaram
Published: May 2024

The Baby Vaccination System project aims to develop a comprehensive platform for managing child vaccination schedules efficiently. It incorporates frontend and backend development to provide users with tools for vaccine registration, tracking, and locating nearby vaccine centres. By targeting efficient management of vaccination schedules, the system contributes to public health initiatives and ensures timely immunisation for children. The objectives of the study include assessing the effectiveness of the system, evaluating user satisfaction, and determining the impact on vaccination completion rates. The study employs a mixed-methods approach, combining quantitative data analysis with qualitative feedback collection. Participants include parents or guardians of children eligible for vaccination, healthcare providers, and system administrators. Data collection methods include system usage metrics, surveys, and interviews. Ethical considerations include obtaining informed consent, ensuring participant confidentiality, and adhering to relevant ethical guidelines. The study findings will provide insights into the usability and effectiveness of the Baby Vaccination System in improving vaccination management.In today’s life style due to the heavy burden and pressure of work it is difficult to remember vaccine period on new born baby as well as small once. Keywords: Blockchain Vaccination System, Healthcare, Immunization, Public Health, Technology Integration
A Comparative Study on the Impact of Gratitude on Well-Being among Youth and Adult Populations
Authors:   AMITY INSTITUTE OF PSYCHOLOGY AND ALLIED SCIENCES  Amity University Uttar Pradesh, Noida, Beri Yashvi
Published: May 2024

Gratitude's impact on the welfare of young and old populations is primarily examined in this research paper. Gratitude, one of the multi-dimensional responses towards emotional behavior, has attracted a great deal in positive psychology for its capability to produce better mental health and quality well-being. The goal of this study is to analyze and contrast the impact of gratitude on subjective well-being, life satisfaction, and psychological resilience in two different age groups. This study uses a mixed-methods design, integrating quantitative and qualitative interviews to obtain detailed data. All participants from youth and adult age groups practice gratitude interventions, reflective exercises, as well as self-report measures. Such quantitative analyses use statistical comparisons of pre- and post-intervention well-being scores to shed light on any potential age variations in the performance of gratitude practices. The subjective perception of gratitude and its impact on overall well-being is also reflected by qualitative data, which emerged from in-depth interviews. The research takes into account situational variables including life events, social ties, and cultural elements that contribute to gratitude expression among different age groups. The results add to the literature on positive psychology by highlighting possible differences in efficacy, which may be related to the age cohort. These findings have implications beyond the application of targeted well-being interventions designed for youth and adult populations concerning their individual needs, bringing a more profound understanding of the role gratitude plays in ensuring mental health satisfaction is achieved. Keywords: Gratitude, Well-being, Age groups, Positive psychology, Intervention
Data-Driven Face Mask Detection and Alert System Utilizing Haar Cascade Classifier
Authors:   Student, Department of Information Technology, Mahatma Gandhi Institute of Technology, Hyderabad, Kaleru Brihat
Published: May 2024

The COVID-19 pandemic has brought to light the pivotal role of face masks in curbing the transmission of contagious illnesses. As societies strive to uphold mask mandates in public areas, there has been a surge of interest in automated face mask detection systems. This study presents a novel data-centric methodology for crafting a reliable face mask detection and notification system leveraging the Haar cascade classifier. Our approach hinges on a meticulously curated dataset comprising images of individuals both with and without masks. Through the adept utilization of feature extraction techniques and machine learning algorithms, our system learns to discern masked faces from their unmasked counterparts in real-time scenarios. The experimental outcomes of our study attest to the efficacy of our proposed system, showcasing commendable accuracy in detecting face masks. This substantiates its viability for deployment across diverse public settings, bolstering the arsenal of public health safety measures. The seamless integration of our system stands poised to fortify efforts aimed at safeguarding community well-being amidst the persistent threat of infectious diseases. Key words: Data, Mask , Deep Learning, Hybrid.
Risky Behavior of Men who have Sex with Men (MSM) Increases the Risk of HIV and Syphilis Infection
Authors: Ida Ayu Cintya Pradnyandari  , Anak Agung Candra Wahyuni  , Putu Dyah Ayu Saraswati
Published: May 2024

The incidence of sexually transmitted infections in man who have sex with man (MSM) is increased among human immunodeficiency virus (HIV) patients. HIV and syphilis are two sexually transmitted diseases that frequently interact and modify the symptoms and signs of the disease. A case of a 27-year-old male with generalized multiple erythematous plaques including palms and soles since 4 days ago was reported. The patient has been diagnosed with HIV since 2017. The patient is sexually active with a male sex partner and rarely uses condoms. Diagnosis of syphilis is made based on anamnesis, physical examination, and laboratory tests. The treatment was benzathine penicillin G 2.4 million units in 3 doses. The combination of HIV and syphilis needs longer therapy and requires serological follow-up for up to 24 months.
The effect of providing multiple micronutrient supplements and education on increasing hemoglobin levels in adolescent girls
Authors:   Departement of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia, Indriasari Rahayu , Riskiyani Shanti
Published: May 2024

Anemia is a serious global health problem. In Indonesia, anemia is a nutritional problem that must be addressed immediately because its prevalence is quite high. Based on gender, the incidence of anemia in men is 20.3%, and in women, it is 27.2%, so it can be seen from these data that the incidence of anemia is higher in women. The study aimed to assess the effect of providing MMS (Multi Micronutrient Supplement) and video education on increasing Hb (Hemoglobin) levels in adolescent girls. The research was conducted at MA Muhammadiyah Bontorita and MA Babussalam Takalar Regency. With a Quasi-Experimental research design. A total of 70 samples of young women consisted of 35 samples from the intervention group giving MMS and video education and 35 samples from the control group giving MMS without education. Bivariate analysis namely the Wilcoxon test, Man-Whitney test, paired t-test, and independent test. The results analysis of knowledge variables in the intervention group exhibited a significant improvement in knowledge (p=0.000), contrasting with the control group (p=0.060), where the change was not significant. Regarding Hb levels, the intervention group displayed a significant increase (p=0.043), and similarly, the control group also showed a notable rise (p=0.000). However, the increase in Hb levels was more pronounced in the intervention group There were differences in changes in knowledge and changes in hemoglobin levels in female adolescents, where changes in the intervention group were greater than those in the control group.
SOCIAL RESPONSIBILITY OF COMPANIES AND ITS IMPACT ON THE BRAND
Authors:   Senior lecturer, Karshi Engineering-Economics Institute, Uzbekistan, Temirova Feruza
Published: May 2024

Corporate social responsibility (CSR) refers to the concept that businesses should operate in ways that enhance society and the environment, beyond seeking profits. CSR can significantly impact a brand's image, affecting customer loyalty, market competitiveness, employee satisfaction, investment attractiveness, risk management, long-term growth, and customer engagement. Companies that prioritize socially responsible practices can enhance their reputation, differentiate themselves from competitors, attract and retain talent, and foster sustainable business growth.
La evaluación a distancia en traducción
Authors: Gamero Pérez Silvia , García de Toro Ana Cristina
Published: May 2024

El propósito de este artículo es presentar una propuesta metodológica para la realización de exámenes escritos, en línea y síncronos. El modelo se apoya en tres ejes: elementos facilitadores, elementos disuasorios y parámetros de supervisión. Y se implementó en las asignaturas de traducción directa alemán-español en los cursos tercero y cuarto del Grado en Traducción e Interpretación de la Universitat Jaume I de Castelló de la Plana en el contexto de confinamiento domiciliario y emergencia sanitaria derivados de la pandemia de la COVID-19. Los resultados de la prueba experimental permiten extraer conclusiones sobre las ventajas e inconvenientes de la evaluación a distancia en traducción, y son extrapolables a otras asignaturas, tanto del ámbito de la traducción como de otras materias y disciplinas.
Strawberry Gel with a Concentration of 83% and 75% as an Extrinsic Stain Remover
Authors:   Health Polytechnic of Jakarta I, Indonesia, Karmawati Ita Astit , Yulita Ita ,   Health Polytechnic of Jakarta I, Indonesia, Dewi Indri Kusuma ,   Health Polytechnic of Jakarta I, Indonesia
Published: May 2024

Strawberries have many benefits, where the malic acid contained in strawberries acts as a substance that will erode and remove several stains on the surface of teeth, including cleaning extrinsic stains. Gel preparations are widely used in medicines, cosmetics and food products, including toothpaste and teeth whitening agents. The purpose of this study was to determine the effectiveness of strawberry gel with a concentration of 83% and 75% in cleaning teeth with extrinsic stain on academic member of the Health Polytechnic Jakarta I. This study was an Experiment on 30 people who had upper and lower anterior teeth with extrinsic stain as samples. Data collection was done by applying strawberry gel on the surface of the anterior teeth, allowed to stand for 5 minutes, then brushed and rinsed with water. This procedures was done 2 times a day for 5 consecutive days. Changes in extrinsic stain are measured using the Lobene Stain Index which measures the intensity and area of the stain, as well as a combined score of both. The average of combined score with measurements using the Lobene Stain Index for extrinsic stain before being treated with strawberries. Hopefully the score will decreased every day starting from day 1 to day 5 of treatment.