bluuebunny/crossref_metadata_2025 huggingface dataset:
Propuesta de un proceso para desarrollar productos de la ingeniería de tejidos por bioimpresión empleando baños de soporte tipo FRESH
Authors: Torres-Ayala Lizardo , Casado Peña Fanny Lys
Published: April 2024

Introducción: La tecnología de la bioimpresión en tres dimensiones se está desarrollando con rapidez y, en consecuencia, existen publicaciones en diversas disciplinas que contribuyen al desarrollo científico y tecnológico de esta herramienta para la ingeniería de tejidos. Sobresale la técnica de impresión en baños de soporte FRESH, que permite la bioimpresión a microescala con alta integridad de forma que evita el colapso de las estructuras poco viscosas por efectos de la gravedad.
Objetivo: En este trabajo se busca sintetizar una serie de recomendaciones generadas a partir de la experiencia en el desarrollo de diferentes aplicaciones con énfasis en las Buenas Prácticas de Manufactura y el control de calidad necesarios para la fabricación de productos médicos de la ingeniería de tejidos. Se espera que estas recomendaciones faciliten la traslación de tecnologías propias de la ingeniería de tejidos para aplicaciones en el campo de la medicina regenerativa.
Métodos: El presente artículo revisa una serie de artículos y normas técnicas relevantes propuestos a partir de búsquedas sistemáticas estructuradas de procesos para desarrollar este tipo de productos. Se enfatizan los ensayos recurrentes para lograr este objetivo, desde el pretratamiento de los materiales hasta el post procesado previo al almacenamiento.
Resultados: Se ha generado una propuesta para incluir Buenas Prácticas de Manufactura de productos médicos mediante ingeniería de tejidos que usen la bioimpresión con baños de soporte tipo FRESH, de manera que pueda ser replicable a diferentes escalas de producción
Conclusiones: Las bondades de la manufactura aditiva empleando baños de soporte tipo FRESH se pueden trasladar y estandarizar fácilmente para la fabricación de productos médicos hechos por ingeniería de tejidos.
Межличностная чувствительность и психологический дистресс как факторы самоповреждающего поведения
Authors: Польская Наталия , Разваляева Анна
Published: April 2024

Представлены результаты эмпирического исследования связи самоповреждающего поведения с межличностной чувствительностью и психологическим дистрессом. Выборка: N = 664, 17–35 лет, 563 (84,4%) женщин, 101 (15,2%) мужчин. Методики: опросник выраженности психопатологической симптоматики [Тарабрина, 2001]; опросник межличностной чувствительности [Разваляева, Польская, 2021]; шкала причин самоповреждающего поведения [Польская, 2017]. Результаты: (1) межличностная чувствительность, самоповреждающее поведение и показатели психологического дистресса оказались значимо выше в группе юношеского возраста – 17–19 лет, а наиболее низкие – у респондентов в возрасте 27–35 лет; (2) у респондентов, подтвердивших самоповреждения, оказались значимо более высокие показатели психопатологической симптоматики и межличностной чувствительности; (3) выявлено, что страх отвержения усиливает частоту самоповреждений, а зависимость от оценок окружающих – уменьшает; (4) психологический дистресс выступает медиатором связи между страхом отвержения и самоповреждениями, а возраст – модератором. Выводы: таким образом, в юношеском возрасте высокий страх отвержения приводит к высокому психологическому дистрессу, который связан с частыми самоповреждениями. Результаты исследования указывают на значимость восприятия межличностных отношений при самоповреждающем поведении.
UNDAMPED FORCED VIBRATION ANALYSIS OF CASTELLATED STEEL BEAM WITH CIRCULAR, SQUARE AND PENTAGONAL WEB OPENINGS
Authors: Hashm Maryam , Noori Masihullah , Noorı Ahmad Reshad , Doorı Silda Ghazi
Published: April 2024

This study conducts a comprehensive investigation into the influence of web opening shapes on the forced vibration response of castellated steel beams, particularly emphasizing the temporal aspects of the dynamics. These beams are widely employed in practice due to their enhanced structural efficiency and reduced weight, but the incorporation of web openings may potentially impair their shear and bending strength capacities. Three types of web opening shapes are considered. Finite element methodology is employed using ANSYS. The investigation encompasses the forced vibration behavior of castellated steel beams subjected to varying loads. Additionally, the impact of various parameters, including the beam’s geometry, and boundary conditions, on the dynamic behavior of castellated beams are analyzed. The obtained results demonstrate that the web opening shape has significant influence on the vibration amplitudes and oscillation periods of castellated steel beams.
MCDM MODEL PROPOSAL AND SOLUTION FOR EVALUATION OF MEDICAL WASTE DISPOSAL TECHNIQUES WITHIN THE SCOPE OF ZERO WASTE APPROACH
Authors: Yücenur G.nilay , Turan Bayram Tuba , Koç Melisa , Sağır Beyza , Yıldırım Kübra
Published: April 2024

The world is constantly changing and developing. With the effect of this change, development, industrialization and globalization, resources are consumed irregularly and inefficiently. As a result of these consumptions, various wastes are generated. The recycling and disposal of these wastes, which accumulate over time and create negative effects on human-environmental health, individual, family and society, is a very important issue today. This study is carried out in order to evaluate the disposal techniques of medical wastes, which contain various viruses, bacteria, microorganisms and have negative effects on both the environment and human health. Within the scope of the study, a multi-criteria decision-making model consisting of medical wastes and disposal techniques have been proposed and this model has been solved with a two-stage methodology. In the first stage of the solution, medical wastes have been prioritized with the ENTROPY method, and in the second stage, alternative disposal techniques have been evaluated with the WASPAS and EDAS methods. At the end of the calculations, the results obtained by both methods have been compared and the alternatives have been ranked.
COMPARISON OF MECHANICAL PROPERTIES OF WOVEN HYBRID METALLIC FABRICS WITH DIFFERENT ARRANGEMENT OF INTERMEDIATE ALUMINUM SHEETS
Authors: Kaya Ali İhsan , Engin Kaan Emre , Çitil Şerif
Published: April 2024

In this study, hybrid metallic fabrics were produced by traditional weaving method using 0.2 mm thick Aluminum (Al) 1005 H14 material and polyethylene fishing line (PL). During the production of hybrid metallic fabrics, fishing line was used as warp and Al 1005 H14 wire of the same thickness was used as weft. The fabrics were cut into layers with dimensions of 30 mm width and 300 mm length. Each layer was bonded using FM® 73M structural adhesive. Laminates of hybrid composites with different arrangement of layers were fabricated with Al 5005 H34 spacer sheet. The resulting laminates were cured by applying additional pressure in a temperature-controlled hydraulic press, after which the specimens were cut for tensile testing with a saw according to ASTM D3039 standard. The effect of the Al 5005 H34 intermediate material on weight was determined. Three specimens from each laminate group were tensile tested and the results analyzed. It was found that fabrics containing Al 1005 H14 and PL can be successful.
TREND ANALYSIS OF METEOROLOGICAL PARAMETERS & DROUGHT ANALYSIS IN THE MURAT RIVER BASIN
Authors: Yaman Üveys , Günal Ayşe Yeter
Published: April 2024

Recognizing hydro-meteorological trends and monitoring drought are crucial for evaluating climate change and variability at basin and regional levels. In this Study,The Standard Precipitation Index (SPI) was used to assess drought in the Murat River Basin, analyzing monthly data from seventeen stations over various time periods. Wallis and Moore's test was used to analyze the homogeneity of the obtained monthly data from 17 rainfall stations and 18 temperature stations ,while Mann-Kendal tests were used to assess trends. The study analyzing data from 17 meteorological stations in the Murat River Basin found a lack of rainfall and severe droughts in 2014 and 2018. The Mann-Kendall test showed a decreasing trend in monthly precipitation data from 17 stations. Temperature data from 18 stations showed a rising trend, except for station 4025, with most showing a rise. The study suggests that rising temperatures and decreasing precipitation will lead to a decline in water supply in the future, affecting socioeconomic life by reducing water resources and soil moisture.
DERİN AĞLAR İÇİN YENİ BİR BİRİMDİK DÜZGÜNLEŞTİRME YAKLAŞIMI
Authors: Fırıldak Kazım , Çelik Gaffari , Talu Muhammed Fatih
Published: April 2024

Ortagonal Düzgünleştirme (OD), derin ağların aşırı öğrenme (overfitting), gradyan patlamansı/kaybolmasını engellemek için kullanılmaktadır. Literatürde derin öğrenme için geliştirilen OD yöntemlerinin çoğunda ağ ağırlıklarını birim dik vektörler olarak öğrenme amaçlanmaktadır. Bu makalede ağ ağırlıklarını ikili olarak gruplayarak birim dik öğrenmeye zorlayan fonksiyon, maliyet fonksiyonuna eklenmektedir. Bu yöntem yapay sinir ağlarında ve konvülasyonel sinir ağlarında çeşitli veri kümelerinde (yapay veri ve gerçek veri) test edilmektedir. Ayrıca önerilen yöntem, literatürde öne çıkan Yumuşak Ortagonal (SO), Çift Yumuşak Ortagonal (DSO), Karşılıklı Tutarlılık (MC) ve Spektral Sınırlı İzometri Özellikli (SRIP) gibi yöntemler ile doğruluk, yürütülme zamanı, hata oranı metriklerinde karşılaştırılmaktadır. Karşılaştırma sonucunda doğruluk metriğinde farklı veri kümelerinin kullanan ağlarda %1-%5 arasında iyileşme sağlanmaktadır. Önerilen yöntem, Cifar10 veri kümesinde Resnet 110 ağında 92,96 dan %93,90’a ve Resnet 28-10 %95,84’den %96,78’a test başarısını yükseltmektedir.
LSTM-ESA HİBRİT MODELİ İLE MR GÖRÜNTÜLERİNDEN BEYİN TÜMÖRÜNÜN SINIFLANDIRILMASI
Authors: Aslan Emrah
Published: April 2024

Beyin tümörlerinin erken teşhisi, etkili bir tedavi için hayati öneme sahiptir. Manyetik rezonans (MR) görüntüleme, beyin tümörlerini tespit etmede temel bir araç olarak öne çıkmaktadır. Glioma, meningioma, pituitary gibi birçok tümör türü bulunmaktadır. Tümör türünü doğru bir şekilde belirlemek ve bu tespiti yapmak, beyin tümörlerini sınıflandırmanın en zorlu yönlerinden biridir. Geleneksel yöntemlerle hastalık tespiti yerine, yapay zekâ temelli bilgisayar uygulamalarının kullanılması, beyin tümörlerinin tespitinde uzmanlara önemli katkılar sağlayabilir. Özellikle derin öğrenme yöntemleri, medikal görüntülerin işlenmesine dayalı hastalık tespitinde etkili olmaktadır. Literatürde, beyin tümörlerini kategorize etmek için birçok derin öğrenme tabanlı yaklaşım bulunmaktadır. Bu çalışmada, MR görüntüleri ile beyin tümörlerini tespit etmek için bir ESA (Evrişimli Sinir Ağı) ve bir LSTM (Uzun Kısa Süreli Bellek) derin öğrenme katmanının birleştirilmiş olduğu bir model sunulmaktadır. LSTM'nin, ESA'nın özellik çıkarma yeteneklerini destekleyebileceği öne sürülmektedir. Yapılan deneylerde, önerilen LSTM-ESA modelinin standart ESA modelinden daha iyi performans gösterdiği belirlenmiştir. Bu modelin kullanılmasıyla, beyin tümörlerinin tespitinde %98,1 doğruluk skoru elde edilmiştir. Bu sonuç, literatürdeki benzer çalışmalarla karşılaştırıldığında daha yüksek bir başarı elde ettiğini göstermektedir.
THE EFFECTS OF LASER MICRO-ENGRAVING VARIABLES ON THE SURFACE CHARACTERISTICS OF THE Ti-6Al-7Nb ALLOY
Authors: Ozan Sertan
Published: April 2024

This investigation aims to analyze the impact of scanning direction, scanning speed, and power level (%) on the surface roughness of Ti-6Al-7Nb alloy specimens subjected to laser micro-engraving. The laser micro-engraving process was carried out by scanning the predetermined geometric configuration six times. Factorial analysis was implemented to determine the impact of system parameters on the surface roughness. Throughout the micro-engraving operations, line spacing, frequency, and pulse width parameters were maintained at a consistent value of 0.03 mm, 100 kHz, and 300 ns, respectively. The optimal conditions for achieving the lowest surface roughness were observed at a scanning speed of 700 mm/s, a power level of 60%, and a scanning direction of 90°. Moreover, in accordance with the experimental parameters employed in this investigation, it was observed that increasing the scanning speed while maintaining a constant power level (%) reduced surface roughness. There was a direct correlation between the increase in power level (%) and a corresponding increase in surface roughness.
EVALUATION OF AUSTEMPERING STUDY OF FERRITIC CAST IRON
Authors: Teker Tanju , Yılmaz Serdar Osman
Published: April 2024

In this study, the effect of austempering temperatures on the structural characterization of ferritic spheroid cast irons was analyzed. Austempering was the austenitization of the materials in the temperature of 900 ºC for an adequate period to obtain a complete austenite structure and then quenching to an interval temperature. Subcritical diffusion times were achieved at 320, 420, and 520 ºC ausferrite temperatures for period of 1.5 h. Metallurgical description of samples was defined using optical microscopy, energy dispersive spectrometry, X-ray diffraction, microhardness. The austempering temperature had a remarkable effect on the phase variations of the ferritic ductile cast irons. The higher degree of austempering produced a coarser structure called ausferrite.
Design and Evaluation of A Module in Climate Change and Disaster Risk Management (CCDRM)
Authors:   https://orcid.org/0000-0001-8018-1507 krisculturajones@gmail.com St. Mary’s University-Bayombong Nueva, Vizcaya, Philippines, Cultura-Sadang Kristine Mae
Published: April 2024

The effectiveness of their teaching strategies has always been a concern for every professional teacher. Teaching strategies include students in every step of the learning process and encourage them to study. For this study, frequency (f), percentage (%), mean (M), and standard deviation (SD) and mixed factorial analysis of variance (MANOVA) were used. The intervention was given to the treatment group which was the synchronous learning modality, while the control group was represented by the asynchronous /self-regulated learning modality from 100 students of Isabela State University – Jones Campus under the new normal condition. The research instrument was developed for “Design and Evaluation of a Module in Climate Change and Disaster Risk Management (CCDRM)”. It is revealed that the overall results on the teachers’ and student evaluation of the CCDRM learning module show relatively high using the set indicators. During the pre-test, there was a higher proportion of students with moderate performance for asynchronous classes and fewer students with low performance compared to those who would undergo synchronous classes and during the post-test, there was a higher proportion of students with moderate performance for asynchronous classes and fewer students with low performance compared to those who underwent synchronous classes. As to the student’s performance, there was no statistically significant difference in the scores for synchronous and asynchronous classes. To teach university students about climate change and disaster risk management, it is advised that this research demonstrated the effectiveness of both the asynchronous and synchronous strategy. Keywords: Asynchronous, Synchronous, Climate Change and Disaster Risk Management, Teaching strategies
Fostering Innovation in Public Sector Organizations: Antecedents and Processes of Effective Reorientation and Legitimation
Authors:   , Kiwi Dave
Published: April 2024

In recent years, the public sector has faced significant challenges, ranging from environmental crises to public health emergencies and humanitarian disasters. Research indicates that addressing these grand challenges requires ambitious missions to drive innovation and create public value. However, this endeavor is often impeded by a variety of constraints from institutional, political, and organizational domains, which greatly hinder innovation and transformation efforts. Understanding the inherent differences between the public and private sectors, this study concentrates on the legitimacy challenges and complexities encountered by public organizations focused on innovation. It delves into effective strategies for managing innovation, providing guidance to policymakers, administrative leaders, and change agents on navigating legitimacy challenges during innovation processes, all while balancing compliance with existing rules and regulations. I highlight the concept of "liminal space" as a framework to support innovative ideas, strategies, and solutions. This space represents an environment that is willing to relax established norms, values, beliefs, rules, and definitions to support an idea, and it can be influenced by innovative actors. By embracing this concept, organizations can foster an atmosphere conducive to innovation within the public sector.
A IMPORTÂNCIA DA FORMAÇÃO NO TRABALHO DOCENTE PARA A UTILIZAÇÃO DAS FERRAMENTAS TECNOLÓGICAS E DO PROJETO PROFUTURO NO ENSINO FUNDAMENTAL I DA ZONA NORTE DE MANAUS-AM/ 2023
Authors: Pereira Simone Gonçalves
Published: April 2024

Esta investigação explora o contexto do uso de ferramentas tecnológicas pelos docentes do Ensino Fundamental I das escolas da zona norte de Manaus Amazonas, Brasil, no ano de 2023. O tipo de pesquisa adotada neste trabalho é de abordagem quantitativa e a técnica utilizada foi a estatística e pesquisa de campo. A coleta de dados realizou-se por meio da aplicação de questionário dicotômico e questionário de questões fechadas de múltipla escolha, dando sequência à análise e interpretação dos resultados. A partir dos dados coletados apresentou-se como resultado a descrição e análise das dificuldades e avanços relacionados ao uso das ferramentas tecnológicas nas práticas didáticas dos professores. Os professores pesquisados demonstraram que estão, eles mesmos, buscando sua capacitação motivados por uma atualização profissional e interesse dos alunos em tecnologias digitais. Didaticamente os professores têm utilizado diversos recursos que vão desde vídeos aulas a jogos digitais e vários tipos de atividades retiradas da internet. Há também o uso das ferramentas tecnológicas para preparação das aulas e atividades pedagógicas. Grande parte da capacitação dos professores foi promovida pelo projeto PROFUTURO através da plataforma escolas conectadas e pela Secretaria de Educação Municipal. Ficou evidente que o uso dessas ferramentas tecnológicas enriquece as aulas, trazem motivação e interesse dos alunos e uma metodologia diferenciada associada aos temas curriculares.
IMPACTOS DAS TECNOLOGIAS DIGITAIS DA INFORMAÇÃO E COMUNICAÇÃO (TDIC) NO DESENVOLVIMENTO E NA SAÚDE MENTAL DA CRIANÇA E DO ADOLESCENTE
Authors: Sousa Mayara Silva , Silva Patrícia Oliveira
Published: April 2024

As tecnologias, atualmente, são elementos indispensáveis na vida humana, impulsionando uma sociedade cada vez mais informatizada e sobrecarregada de estímulos e de exigências tecnológicas. Desde o nascimento, os seres humanos são expostos a essas conexões, que moldam suas experiências e interações. Este artigo tem por foco investigar o impacto das Tecnologias de Informação e Comunicação (TICs) na vida das crianças e dos adolescentes, visando a elucidar os possíveis prejuízos decorrentes do uso excessivo dessas ferramentas no seu desenvolvimento. Tendo por objetivo principal analisar os efeitos contemporâneos das TICs sobre os aspectos físicos, cognitivos, emocionais e sociais do desenvolvimento infantil e do adolescente. Para tanto, utilizou-se como método de realização da pesquisa a revisão integrativa, buscando artigos nos bancos de dados Biblioteca Virtual em Saúde (BVS), National Library of Medicine (PubMed), Springer Nature (BMC) e o Scientific Electronic Library Online (SciELO), com base nos descritores, em inglês e português: “criança”, “adolescente”, “era digital”, “dependência” e “prejuízos no desenvolvimento”. Após análise e aplicação dos critérios de inclusão e exclusão, foram selecionados nove artigos que mostram o uso problemático da tecnologia e os principais prejuízos que ela causa no desenvolvimento infantil e do adolescente. Em conclusão, sugere-se que a exposição à tecnologia deva ser controlada pelos responsáveis, seguindo um tempo de tela seguro de acordo com cada idade.
Industrial Human Safety Detection System
Authors:   Computer Engineering Department  Smt. Indira Gandhi College Of Engineering, Navi Mumbai  University Of Mumbai, Dalvi, Nitish
Published: April 2024

Industrial workplaces can be hazardous environments where the safety and well-being of workers are paramount. To mitigate risks and ensure the safety of employees, a wide range of industrial human safety devices have been developed and implemented. This Research explores various safety devices designed to protect and enhance the safety of workers in industrial settings. The study examines devices such as personal protective equipment (PPE), machine guarding devices, fall protection gear, gas detection devices, and more. Through a comprehensive review of the current state of industrial safety technology, we assess the effectiveness, advantages, and limitations of these safety devices. We also discuss emerging trends in industrial safety technology, including the integration of IoT and AI. The findings presented in this Research will aid in understanding the critical role that these devices play in safeguarding industrial workers, and highlight the need for ongoing innovation in the field of industrial safety.. The real-time monitoring of human presence allows for prompt intervention and a more secure working environment . Furthermore, the automated safety measures based on human detection contribute to overall safety protocols and reduce the risk of injuries or mishaps. The successful implementation of this device demonstrates the efficiency and reliability of human detection using computer vision techniques. The device's ability to provide real-time monitoring and ensure immediate intervention significantly enhances workplace safety. It establishes a solid foundation for future integrating it with existing industrial control devices.
Deepfake on Social Media: Harnessing Deep Learning for Identifying Falsified Tweet
Authors:   School of Computer Science and Engineering Lovely Professional University Punjab, India, Kaur, Jatinder
Published: April 2024

Recent advancements in natural language production have enabled the creation of sophisticated deepfake social media messages, posing a significant threat to public discourse. In response, this study focuses on the development of reliable detection methods for identifying automated text on websites such as Twitter. Leveraging Tweepfake, a publicly accessible dataset, a simple deep learning model employing tf-tf-idf, word2vec and tokenizer from keras library word embeddings and a typical architecture for a convolutional neural network (CNN) is proposed. Comparative analysis against baseline methods, including various feature-based approaches and various forms of deep learning, such Long Short-Term Memory (LSTM), demonstrates the suggested method's greater performance. Experimental results showcase an impressive accuracy of 91% in accurately classifying tweet data either bot-generated or human-generated. This research contributes to the ongoing efforts to combat the proliferation of deepfake content on social media platforms. Keywords: Deep Learning, Machine Learning, Deepfake Detection, Text Classification
A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning
Authors:   1Associate Professor, Computer science and Engineering, Tirumala Engineering College, India, A . Balaji
Published: April 2024

In today’s modern world cardiovascular disease is the most lethal one. This disease attacks a person instantly that might create unexpected consequences for the human life. So diagnosing patients correctly on time is the most challenging task for the medical fraternity. The heart disease treatment is quite high and not affordable by most of the patients particularly in India. The research scope is to develop an early prediction treatment using data mining technologies. Now a day every hospital keeps the periodical medical reports of cardiovascular patients through some hospital management system to manage their healthcare. The data mining techniques namely decision tree and random forest are used to analyze heart attack dataset where classification of more common symptoms related to heart attack is done using c4.5 decision tree algorithm, alongside, random forest is applied to improve the accuracy of the classification result of heart attack prediction. In this system various data mining technologies are applied to make a proactive approach against failures in early predictions diagnosis of the disease. We proposed an automated system for medical diagnosis that would enhance medical care and reduce cost. Our aim is to provide a ubiquitous service that is both feasible, sustainable and which also make people to assess their risk for heart attack at that point of time or later. Keywords: Heart attack prediction, ML, Random Forest, Decision Tree, Java, servlet, etc.
THE ROLE OF GREEN MARKETING IN PROMOTING ENVIRONMENTALLY FRIENDLY PRODUCTS
Authors:   GALGOTIAS UNIVERSITY, SHARMA RADHIKA
Published: April 2024

The use of green marketing is extremely important for the promotion of environmentally friendly products and services. The process involves the production and marketing of products and services that are beneficial to the environment, such as those that make use of environmentally friendly technologies and are sustainable. The practice of green marketing not only helps businesses improve their brand reputation, reduce their expenses, and remain in compliance with regulations, but it also helps them align their values with those of their customers and offers them an advantage over their competitors. By embracing green marketing strategies, businesses have the opportunity to positively impact the environment, encourage innovation, and secure their position in the ever-changing market. The fact that 73 percent of consumers are willing to pay more for environmentally friendly items makes green marketing a very advantageous strategy for companies that are concerned about the environment. It reduces the adverse effects on the environment, strengthens customer loyalty to the brand, and generates opportunities in areas that have not yet been exploited. Two of the most successful instances of green marketing are Patagonia and Tesla, both of which have created environmentally sensitive marketing campaigns. To a large extent, modern businesses are dependent on environmentally friendly marketing methods, which are gaining popularity as consumers become more aware of the problems that are affecting the environment. Keywords:- Green Marketing, Businesses, Friendly.
Task Manager
Authors:   SHRI VITHAL EDUCATION and RESEARCH INSTITUTES’s, COLLEGE OF ENGINEERING, PANDHARPUR, Bhosale, Pooja
Published: April 2024

In the realm of modern computing, efficient task management stands as a cornerstone for ensuring system performance and user productivity. The Task Manager, a fundamental component of operating systems, provides users with insights into system resource allocation and facilitates the management of running processes. This paper aims to explore the significance of task management in contemporary computing environments and delves into strategies for optimizing the functionality of the Task Manager. Keywords: Task Manager, System Performance, Resource Allocation, User Experience, Optimization, Machine Learning, Operating Systems
BLOOM : CLOUD OPTIMIZATION TOOL
Authors:   New Horizon Institute of Technology and Management, Thane, Maharashtra, India., Joshi Ms. Indira
Published: April 2024

Bloom: Cloud Optimization tool" endeavors to harness the power of the Ant Colony Optimization (ACO) algorithm to address the challenge of organizing unstructured input data in cloud storage systems. The primary objective is to optimize cloud storage utilization and minimize associated billing expenses. Through the utilization of ACO, the solution aims to transform unorganized and unstructured data into a structured format, facilitating efficient storage allocation and enhancing data management practices. By leveraging predictive insights derived from the structured data, the solution empowers both cloud service providers and users to make informed decisions regarding data storage optimization. Ultimately, this approach not only streamlines data organization processes but also aids in maximizing cost-effectiveness by ensuring that cloud resources are allocated optimally based on usage patterns and predicted future demands. The integration of ACO into the solution offers a promising avenue for addressing the complexities inherent in managing vast amounts of unstructured data in cloud environments, thereby paving the way for improved efficiency and cost savings.
Ruralease-Stay,Travel,Savor
Authors:   Computer Engineering Department  Smt. Indira Gandhi College  Of Engineering  Mumbai, India, Gautam Anjali
Published: April 2024

In a rapidly evolving travel landscape, characterized by a growing desire for more personalized and immersive experiences, the emergence of innovative solutions becomes paramount. Addressing this demand, the RURALEASE Android application stands as a beacon, bridging the divide between hosts and guests, ushering in a new era of seamless connectivity in the realm of homestay accommodations. Homestays, a burgeoning trend in the hospitality sector, offer travellers a unique opportunity to eschew traditional hotel confines and instead embed themselves within local communities, fostering authentic cultural encounters and deepened travel experiences. The RURALEASE application, tailored specifically for Android devices, redefines the landscape of homestay bookings with its intuitive interface and comprehensive features. Through RURALEASE, users navigate a user-friendly platform, effortlessly securing accommodations that resonate with their individual preferences and travel aspirations. By facilitating direct communication between hosts and guests, RURALEASE fosters a sense of trust and transparency, enriching the booking experience for both parties involved. Homestay applications like RURALEASE represent more than just a technological innovation; they signify a fundamental shift in how travelers engage with destinations. By transcending traditional lodging paradigms, these applications empower travelers to forge meaningful connections with local communities, unlocking a tapestry of enriching experiences that transcend the confines of conventional tourism.This research paper endeavors to delve into the profound impact of homestay applications on the modern travel landscape. Through a meticulous examination of their functionalities, user experiences, and broader implications for hosts and guests alike, this study seeks to shed light on the transformative potential of homestay accommodations in shaping authentic travel experiences. Keywords: Homestay, Application, Android
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Authors:   Department of Computer Science & Engineering, Raghu Engineering College, Visakhapatnam, India, Sagar V. Vidya
Published: April 2024

The project "Credit Card Fraud Detection with FBA" aims to develop a robust and efficient system for identifying and preventing fraudulent activities associated with credit card transactions within the context of Fulfilment by Amazon (FBA). With the increasing prevalence of online transactions, credit card fraud has become a significant concern for both consumers and businesses. FBA, being a prominent e-commerce platform, requires a sophisticated fraud detection mechanism to ensure secure and trustworthy transactions. The project utilizes advanced machine learning algorithms to analyse transaction data and detect patterns indicative of potential fraud. These algorithms are trained on historical data, enhancing their ability to recognize anomalies in real-time transactions. The system incorporates a multi- layered approach, utilizing address verification, device fingerprinting, and IP geolocation to validate the legitimacy of transactions and minimize false positives. Real-time monitoring is a key component of the system, allowing for immediate detection and response to suspicious activities. Manual review processes are integrated, involving trained personnel to investigate flagged transactions and make informed decisions based on additional information or customer verification. This human element adds an extra layer of scrutiny, contributing to the reliability of the fraud detection system. The project aims to create a dynamic and adaptive fraud detection system that evolves wit emerging fraud tactics. Regular updates and improvements will be implemented to address new challenges and enhance the overall security of credit card transactions within the FBA ecosystem. The successful implementation of this project will contribute to a safer and more secure online shopping experience for FBA users, fostering trust and confidence in the platform. Index terms: Credit card fraud detection, Fulfilment by Amazon (FBA), Machine learning algorithms, Fraudulent activities, Online transactions, Real-time monitoring, Multi-layered approach, Address verification, Device fingerprinting, IP geolocation, Manual review processes, Dynamic and adaptive system, Emerging fraud tactics, Security enhancements, Online shopping experience, Trust and confidence building
DESIGN AND DEVELOPMENT OF FERTILISER SPRAYING AGRICULTURAL ROBOT
Authors:   Assistant professor, Department of Mechanical Engineering, GNIT, Hyderabad, Telangana, N Yadagiri
Published: April 2024

Modern agriculture is ensured by the development and dissemination of agricultural automation and intelligence. The current focus of agricultural robot research is autonomous navigation, which can significantly improve labor productivity while effectively reducing labor requirements. It is the most successful robot in the agricultural field. The main functions of the robot are chassis control, navigation control, and mechanical design for fertilization and spreading. The main theme of robots is to reduce work, workload, burden and stress. Agriculture is an extremely resource- and labor-intensive industry. Therefore, farmers are increasingly turning to technology and automation to address this problem. Future recommendations include making agricultural robots fully autonomous. Key Words: Fertilization, agricultural robots modern agriculture, autonomous navigation.
Anthropocentric Disturbance and Devastation in Edward Albee’s The Goat
Authors: Qin Huaiyu
Published: April 2024

Edward Albee is one of the most prestigious contemporary American playwrights whose works tend to be engrossing for their avant garde expressions of the postmodern plight. Compared with his other works, The Goat or Who is Sylvia (2002), premiering at the turn of the millennium, pays relatively more attention to human-non-human relationship instead of interactions within the human community. Given the inadequacy of interdisciplinary studies on the play, this paper takes the philosophy of ecological ethics as the theoretical framework and juxtaposes Martin’s disturbance and Stevie’s devastation to nature, especially to the innocent goat, which share the same essence of anthropocentric exploitation, and which can lead to tragic consequences both for nature and for human-beings. Hopefully, this study can not only shed some light on the contemporary crisis of the coexistence between nature and humanity, but provide some reference for subsequent scholars to conduct more diversified cross-field studies of Albee.
Reviewer Acknowledgements for Sustainable Agriculture Research, Vol. 13, No. 1
Authors: Lee Joan
Published: April 2024

Sustainable Agriculture Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated.

Sustainable Agriculture Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: sar@ccsenet.org

Reviewers for Volume 13, Number 1

Adewale Ogunmodede, Royal Agricultural University, United Kingdom

Chaterina Agusta Paulus, Universitas Nusa Cendana, Indonesia

Jiban Shrestha, Nepal Agricultural Research Council, Nepal

Jose Luis Arispe Vázquez, Instituto Nacional de Investigaciones Forestales, Mexico

Luciano Chi, Sugar Industry Research and Development Institute, Belize

Manuel Teles Oliveira, University Tras os Montes Alto Douro (UTAD), Portugal

Minfeng Tang, Kansas State University, USA

Murtazain Raza, Hamdard University, Pakistan

Nehemie Tchinda Donfagsiteli, Institute of Medical Research and Medicinal Plants Studies, Cameroon

Omnia Mohamed Mohamed Helmy Arief, Benha University, Egypt

Patrice Ngatsi Zemko, University of Yaoundé I, Cameroon

Ram Niwas, Swami Keshwanand Rajasthan Agricultural University, India

Roberto José Zoppolo, Instituto Nacional de Investigación Agropecuaria (Uruguay), Uruguay

Waqar Majeed, University of Agriculture, Pakistan
Algoritmo BVNS Aplicado no Problema de Restauração de Redes de Distribuição de Energia Elétrica, considerando Programa de Resposta da Demanda
Authors: Cossi A. M. , Afonso G. F.
Published: April 2024

Neste trabalho propõe-se um modelo baseado na técnica de solução BVNS (Basic Variable Neighborhood Search) para solucionar o problema de restauração de sistemas de distribuição de energia elétrica, considerando no modelo a participação de clientes que fazem parte de um programa de resposta à demanda e que podem contribuir no processo de restauração permitindo que uma quantidade de suas cargas seja desligada pela concessionária. O modelo matemático consiste em minimizar o custo de energia não distribuída no sistema devido às seções não restauradas, somado aos custos de remuneração dos clientes que fazem parte do programa de resposta à demanda, sujeito a restrições técnicas, físicas e operacionais de redes de distribuição. Este é um problema de programação não linear inteira mista em que as propostas de solução são obtidas através do algoritmo BVNS. A estrutura de vizinhança do algoritmo BVNS é baseada na técnica Representação Nó-profundidade. Nesse processo de restauração, realizado pelo algoritmo BVNS, para cada solução avaliada, caso alguma restrição seja violada, um Algoritmo Genético é processado para realizar o corte de carga nas seções com clientes que fazem parte do programa de resposta à demanda. Para testar a eficiência do modelo proposto, apresentam-se resultados de testes em um sistema de distribuição de 53 seções.
Existência e Comportamento de Funções Média do Semicírculo
Authors: Parolin R. S. , Irala G. C. , Darós A.
Published: April 2024

Este artigo tem por objetivo explorar soluções que representam relações de dependência entre grandezas geométricas, visando não só determinar associações não usuais entre a geometria e álgebra, como também desenvolver objetos de aprendizagem com Geometria Dinâmica. Neste contexto, analisam-se soluções que relacionam grandezas geométricas do triângulo e do semicírculo, estabelecendo relações entre as médias aritmética, geométrica, harmônica e quadrática, no intuito de compreender as características e propriedades trigonométricas, examinar polinômios e suas raízes, bem como abordar a geometria de forma computacional e dinâmica.
Comparative Investigation of Performance Analysis & Carbon Emission of Biodiesel and Conventional Fuel
Authors: Bhutto Asif Raza , Hussain Tanweer , Kumar Laveet , Bhangwar Sajjad , Shah Azhar Hussain
Published: April 2024

In recent years, the world's largest democracies have recognized the threat posed by vehicle pollutants to our ecosystem, particularly the emission of hazardous gases. As a result, they have taken steps to tighten emission standards for motor vehicles in order to reduce toxicity. Additionally, the rapid urbanization taking place worldwide has led to increased consumption of petroleum products, such as diesel and petrol, which are derived from crude oil. Unfortunately, the reserves of crude oil are limited, and the availability of natural gas stocks is also restricted. Therefore, it is crucial to explore alternative sources of energy. This study focuses on examining the effects of using biodiesel as an additive in diesel engines (D.E) to observe its impact on various performance parameters such as noise emissions, break thermal efficiency, fuel consumption, carbon monoxide, and carbon dioxide. By comparing the effects of biodiesel blended fuels with conventional diesel fuel, we can analyze the behavior of diesel engines. The result shows the study indicate that the use of biodiesel as an additive reduces noise emission levels compared to diesel fuel. Additionally, the analysis of carbon monoxide and carbon dioxide emissions shows that biodiesel blended fuel results in lower carbon emissions when compared to traditional diesel fuel. These findings highlight the potential of biodiesel as a more environmentally friendly alternative in the context of diesel engines.
Public Prosecutors, Victims and the Expectation Gap: An Analysis of Indian Jurisdiction
Authors: Sharma Anupama
Published: April 2024

Public Prosecutors, Victims and the Expectation Gap: An Analysis of Indian Jurisdiction
Analisis Penyebab Diselenggarakannya Pemungutan Suara Ulang (PSU) Di Provinsi Jawa Timur Tahun 2024
Authors: Irsyedha Alfara Reginantis  , Nadiah Aurahmadani Priyambodo  , Adam Jamal
Published: April 2024

The research that we conducted has the aim of knowing the causes of the Re-voting (PSU) ini the 2024 simultaneous general elections in East Java. Aiming to see what factors are behind the PSU. This research was conducted to see the decisions making carried out by Bawaslu in handling allegations of fraud that occurd during the 2024 election process. With the aim of knowing the process in making decisions for organizing  PSUs. The method used is qualitative with a literature study approach to collect data to conduct in-depth alaysis which is then presented in the form of a literacy that is useful for adding information to readers and can also be used to make considerations in every decision-making process when facing a problem. The emergence considerations in the form of re-voting is mentioned when a whole process of analyzing various reports, information and data obtained by the Regional Election Supervisory Committee has been carried out. The report willlater be used as basic evidence related to all findings of fraud in the implementation of elections that violate laws and regulations. So that information about the occurrence of these violations will be the cause behind the PSU based on Article 372 paragraphs (2) of Law Number 7 Year 2017 cencerning elections. Things like this should be prevented trough actions that have been taken by the government long before the implementation of the 2024 elections and supported by the organizing committee and election participants can understand the rules regarding the implementation of voting until the time the vote count is carried out.
Horizontal Transfer of Plasmid Mediated Carbapenem Resistant Genes from Klebsiella pneumoniae to Escherichia coli
Authors: Ali Fawad , Hussain Sajid , Khan Farmanullah , Faheem Muhamad , Qazi Neelum Gul , Bangash Hamza Hussain , Manzoor Zahra Batool
Published: April 2024

Carbapenem resistance among Enterobacteriaceae is an emerging problem worldwide. Klebsiella pneumonia carbapenemase (blaKPC) enzymes are amongst the most common beta-lactamases that have been studied. This broad group of organisms with various resistance mechanisms is associated with increased lengths of hospitalization, costs of medical care, morbidity, and mortality. The global spread of Carbapenem Resistance Enterobacteriaceae (CRE) has largely been attributed to disseminating a dominant strain of Klebsiella pneumoniae producing a serine beta-lactamase, termed as Klebsiella pneumonia carbapenemase (KPC). This study was designed to determine in vitro efficacy of horizontal transfer of plasmid-mediated carbapenem-resistant genes from Klebsiella pneumoniae to Escherichia coli. A total of 30 gram-negative rods from different clinical samples were taken. After preliminary antimicrobial susceptibility screening, isolates that showed a resistance zone were included in the study. These isolates were then subjected to the Modified Hodge test for confirmation of carbapenemase production. Out of 10 isolates, four were positive for carbapenemase production. The plasmid from these resistant strains was transformed into DH5α. RFLP analysis was carried to evaluate these transgenic cells resulted in horizontal gene transfer of resistant plasmid DNA from Klebsiella pneumoniae to Escherichia coli.
Cardiomyocyte Maturation During Regeneration
Authors: Staff Editorial
Published: April 2024

The interplay between calcium signaling and sarcomeres plays a crucial role in directing cardiomyocyte maturation during cardiac regeneration. During cardiac regeneration, various processes occur to restore damaged or lost cardiac tissue, including the proliferation and differentiation of precursor cells into functional cardiomyocytes. These newly formed cardiomyocytes undergo a maturation process to acquire the structural and functional characteristics of adult cardiomyocytes. Nguyen and colleagues found that the cardiac dyad, a structure that regulates calcium handling and excitation-contraction coupling, played a key role in the redifferentiation process. A component of the cardiac dyad called leucine-rich repeat-containing 10 (Lrrc10) acted as a negative regulator of proliferation, prevented cardiomegaly, and induced redifferentiation. They found that its function was conserved in mammalian cardiomyocytes. Their study highlights the importance of the underlying mechanisms required for heart regeneration and their application to the generation of fully functional cardiomyocytes. Science. 2023 May 19;380(6646):758-764.  doi: 10.1126/science.abo6718.
Identification of MC4R and VCP Genetic Variants in Two Pakistani Families Showing Symptoms of Diabetes, Hyperphagia, Seizures, and Obesity
Authors: Naudhani Sara , Bazai Fariya Khan , Mehmood Ul Hassan  , Akram Ali  , Hani Tayyab  , Sara Mannan  , Muhammad Tariq  , Shakeela Daud
Published: April 2024

Variations in the melanocortin 4 receptor (MC4R) are most commonly associated with serious early-stage monogenic obesity. The valosin-containing protein (VCP) gene, also referred to as p97, produces the ubiquitous, crucial, and multifunctional protein VCP, involved in a wide range of cellular processes, including endoplasmic reticulum-associated degradation (ERAD), degradation of lysosomal protein, and degradation of the proteasome-mediated protein. In the present study, we investigated two Pakistani families enrolled from Sibi, Pakistan, for variation in MC4R and VCP genes. Clinical symptoms involved obesity, hyperphagia, and diabetes in Family 1. Obesity with autism spectrum disorder (ASD), hyperphagia, diabetes, seizure, gastrointestinal, and sleep disorders were found in Family 2. Additionally, blood samples were collected and DNA extraction was performed. Subsequent molecular analysis was conducted to identify mutations. Clinical and genetic results were analyzed, and the segregation of MC4R and VCP gene variants in the families helped to make the diagnosis of the disease. For the identification of variations, we conducted whole exome sequencing (WES) and confirmed the findings through target sequencing. We divulged two previously reported heterozygous missense variations. Notably, WES revealed variants (c.307G>A, rs2229616) in the MC4R and (c.1360-35A>G, rs2258240) in the VCP genes in both families separately. The chromatogram illustrated homozygous unaffected siblings and parents, as well as heterozygous individuals with the disease. Both families segregate with the obesity disorder in an autosomal dominant manner. In Family 1, the change from ‘G’ to ‘A’ in the MC4R gene depicts the mutant allele ‘A’ segregating dominantly from one generation to another. Similarly, the change from ‘A’ to ‘G’ in the VCP gene illustrates the mutant allele ‘G’ segregating dominantly in Family 2.