bluuebunny/crossref_metadata_2025 huggingface dataset:
The use of homeopathy in veterinary medicine: a systematic review
Authors: Bez Isabela Cristina Colaço , Paula Gustavo Zigovski de , Revers Nathalia Bianca Marloch , Oliveira Angela Cristina da Fonseca de , Weber Saulo Henrique , Sotomaior Cristina Santos , Costa Leandro Batista
Published: May 2024

Although its use remains controversial, homeopathy has been proposed as an integrative approach alongside conventional medicine. This systematic review aimed to validate the use of homeopathy in veterinary using randomized controlled trials as the gold standard methodology. We performed a broad bibliographic search on the use of homeopathy in veterinary medicine published between 2016 and 2023, following the prerequisites and protocol established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane Training. All searched studies were excluded if they did not fit the chosen methodology. Studies were identified based on their data and passed through a selection process. The selected studies were then assessed for risk of bias. The initial database search yielded 161 documents. Of these, 126 studies were excluded because they were not within the scope of the review, either by title or abstract. In total, 35 articles remained and underwent a data extraction process followed by study selection. Due to its methodologies, many studies with high sampling densities, encompassing numerous species and diseases, were not included in this review. Eight articles met the requirements of the present study. The articles predominantly focused on diseases, which may be attributed to the fact that treating such diseases makes it easier to validate the use of homeopathics in veterinary medicine, rather than solely employing it for prevention, as observed in the majority of the outcomes. Only four studies exhibited an overall low risk of bias. There is a scant number of robust evidence for veterinary homeopathy. With that, further randomized controlled trials involving the same species are warranted to valitade its use; the limited number of articles did not allow us to conduct a meta-analysis. This systematic review illustrates the need for a better description of the methodologies used in these studies.
Revitalizing Pedagogy in a Medical Problem-Based Learning (PBL) Curriculum
Authors: Ohlsson Linus , Abrandt Dahlgren Madeleine , Kågedal Katarina , Setterud Helen , Tamás Éva
Published: May 2024

The Medical Programme at Linköping University, committed to Problem-Based Learning (PBL) and interprofessional education, confronted the necessity for pedagogical revitalization due to an upsurge in student numbers, alterations in national physician licensing criteria, and an organizational framework shift. In response to these challenges, stakeholders conducted a comprehensive systematic self-assessment to navigate a course toward a sustainable and contemporary pedagogical transformation.
The methodology employed in this assessment involved a systematic examination of scientific pedagogical literature, policy documents, educational materials, and schedules. Additionally, valuable insights were gathered through teacher and student surveys. Key findings underscore the importance of a balanced approach that grants students more time for self-study and reflection. Enhancing tools and methodologies for constructive alignment is crucial to achieve equilibrium in both theoretical and practical training settings. Moreover, establishing seamless collaborations between the university and teaching hospitals is deemed essential for faculty development and the long-term competence within both organizations.
The self-assessment underscored the critical importance of continuous evaluation in medical educational settings. The approach not only ensures the ongoing relevance of the curricula but also cultivates an environment conducive to student-centred teaching and learning. This, in turn, prepares students for lifelong learning and the diverse challenges in their future medical profession.
Surgeon Prioritization of Mental, Social, and Pathophysiological Aspects of Health Among People With Traumatic and Nontraumatic Musculoskeletal Conditions
Authors: Broekman Melle , Brinkman Niels , Davids Floor , van den Bekerom Michel , Ring David , Doornberg Job , Ramtin Sina , Jayakumar Prakash ,   The Science of Variation Group
Published: May 2024

Background:

There is mounting evidence that, among musculoskeletal patients, variation in capability has more notable associations with variations in mental and social health factors than with variation in pathophysiology severity. This study sought factors that could limit the integration of this evidence into more comprehensive care models.

Methods:

In two scenario-based experiments, surgeon participants in an international collaborative, the Science of Variation Group, reviewed scenarios of (a) nontraumatic (83 participants) and (b) trauma-related (130 participants) pathophysiologies for which tests and treatments were discretionary. The following demographic, mental, and social health elements were varied randomly: sex, age, race/ethnicity, mindsets, social health aspects, and specific pathophysiologies. For each scenario, participants rated their likelihood to offer surgery (continuous) and their sense of presence of an opportunity to address better mental or social health in treatment (yes or no). Factors associated with each rating were sought in multivariable analysis.

Results:

Greater likelihood to offer discretionary surgery for nontraumatic pathophysiologies was associated with greater pathophysiology severity, trapeziometacarpal arthritis, and greater distress and unhelpful thoughts regarding symptoms. Lateral elbow enthesopathy was associated with a lower likelihood. For trauma-related pathophysiologies, an ankle fracture with slight articular subluxation was associated with greater likelihood to offer surgery, and several other trauma-related pathophysiologies were associated with a lower likelihood. For both nontraumatic and trauma-related pathophysiologies, surgeons noticed unhelpful thinking, distress, and social issues as reasons to consider addressing mental and social health in treatment, relatively independent of pathophysiology.

Conclusion:

Surgeons seem to recognize opportunities to address mental and social needs but ultimately base their decision to offer discretionary surgery on pathophysiological factors.

Clinical relevance:

Comprehensive, whole-person care for musculoskeletal illness might be supported by strategies for ensuring that aspects of stress and distress that contribute to greater symptom intensity are not misinterpreted as a reflection of greater pathophysiology severity.
Correlation Between Patient-Reported and Clinician-Measured Shoulder Range of Motion in Patients Undergoing Shoulder Surgery
Authors: Beleckas Casey , Schodlbauer Daniel F. , Levy Jonathan C.
Published: May 2024

Introduction:

There has been increasing interest in remote measures of patients' health, both in the clinical and research settings. This study sought to evaluate correlations between patient-reported and clinician-measured (CM) shoulder range of motion (ROM).

Methods:

ROM measures including elevation, abduction, and internal rotation were recorded by a patient-reported picture-based survey and clinician measurement during each patient visit. A total of 13,842 visits over a 16-year period met inclusion criteria. Spearman correlation was performed to determine the correlation between patient-reported and CM elevation, abduction, and internal rotation. A subgroup analysis was conducted to evaluate motion in patients who underwent arthroplasty and arthroscopy.

Results:

Patients were 52.4% male with a median age of 67 years (range, 18 to 96). PR and CM shoulder ROM were gathered at 13,842 patient visits. Strong correlations between PR and CM elevation (r = 0.70) and internal rotation (r = 0.66) were found, as well as a moderate correlation between PR and CM abduction (r = 0.59). Strong correlations were found between all three PR and CM measures of motion in the arthroplasty subgroup (elevation r = 0.74, abduction r = 0.63, and internal rotation r = 0.64).

Conclusions:

There is a strong correlation between patient-reported and CM shoulder elevation and internal rotation, as well as a moderate correlation between PR and CM abduction. This allows for a method of assessing patient motion without requiring an in-person visit.

Level of Evidence:

Level III Retrospective Cohort Study.
Optimizing 6G Network Slicing with the EvoNetSlice Model for Dynamic Resource Allocation and Real-Time QoS Management
Authors: K Venkata Ramana , B Ramesh , Changala Ravindra , T Aditya Sai Srinivas , Kalangi Praveen Kumar , M Bhavsingh
Published: May 2024

This research paper focuses on thoroughly examining the challenges in 6G network slicing. To develop, evaluate performance characteristics for on-demand reallocation and instantaneously changeable QoS EvoNetSlice model. The study employs integrated evolutionary algorithms with artificial intelligence-enabled data analytics and multi-objective optimization to optimize network resources usage under minimum end-to-end delay, high transmission rates and optimal background data management. Firstly, the network resource allocation individuals should be based on the network traffic data, QoD (quality of demand) value for some applications and users’ behaviors. The performance degradation detection and quality of service (QoS) adaptation mechanism combined with a multi-layer objective fitness function for achieving good balance in conflict between conflicting objectives. Results indicate that EvoNetSlice improves the general efficiency of a particular network, adapts according to ever shifting requirements for QoS at any time and provides crucial statistics-focused data on network management. The importance of this work lies in developing the future 6G network’s technology. W the key issues, including resource optimization and real-time adaptation required to support modern 6G services, are considered by EvoNetSlice. Such an exploration is an essential element in developing flexible 6G systems that will define next-generation wireless communication.
Identifikasi Senyawa Flavonoid pada Beberapa Jenis Tanaman dengan Kromatografi Lapis Tipis: Literature Review
Authors: Putri Anisa Oktaviana , Hati Mentari Cahaya , Ishanti Nasywa Putri , Ilham Hilda Srivaliana
Published: May 2024

Flavonoid merupakan salah satu metabolit sekunder yang terkandung dalam tumbuhan, dapat digunakan sebagai anti mikroba, obat infeksi pada luka, anti jamur, antivirus, anti kanker, dan anti tumor. Penelitian ini mengulas isolasi dan identifikasi senyawa metabolit sekunder flavonoid dari berbagai bagian tumbuhan menggunakan metode kromatografi lapis tipis (KLT) dengan parameter nilai faktor retensi (Rf). Data dari berbagai artikel penelitian sebelumnya disajikan dalam tabel, menunjukkan variasi nilai Rf yang diperoleh dari penggunaan eluen yang berbeda-beda. Hasil penelitian menunjukkan bahwa eluen yang digunakan memengaruhi nilai Rf, dengan eluen etanol cenderung memberikan nilai Rf yang tinggi (di atas 0,9), menandakan validitas lebih tinggi dalam identifikasi flavonoid. Implikasi ini penting untuk memahami dan menginterpretasikan hasil analisis flavonoid dalam penelitian tumbuhan.
Navigating Employee Retention: The Importance of Compensation in Phnom Penh’s Private Companies, Cambodia
Authors: Sorn Meng Kheang , Fu Guanghui , Sreang Leangheng
Published: May 2024

This research addresses the critical issue of employee retention in private companies in Phnom Penh, Cambodia, specifically focusing on compensation practices. The study employs quantitative and qualitative methods, utilizing a cross-sectional approach to collect data from a sample of 335 employees. The findings reveal that many employees view their compensation package as a key factor influencing their decision to remain with their current company. However, a substantial proportion of employees expressed dissatisfaction or neutrality towards their compensation packages, signaling potential areas for improvement. The research contributes to a deeper understanding of employee preferences regarding compensation packages, thereby aiding businesses in enhancing job satisfaction and loyalty. Furthermore, the study offers practical recommendations for improving compensation practices, including enhancing transparency, conducting regular market analyses, addressing employee concerns, reassessing compensation strategies, investing in employee satisfaction, and considering employee feedback. In essence, this research comprehensively analyzes compensation practices and their impact on employee retention, offering valuable insights and actionable recommendations for private companies in Phnom Penh, Cambodia.
Environmental Impacts of Effluent Discharge from A Rice Processing Factory on River Benue’s Water Quality in Makurdi, Nigeria
Authors: Ochai ThankGod , Niambe Obed Kohol , Nwankwo Evalistus , Ochoche Shaibu , Ibukunoluwa Peter Adio
Published: May 2024

This study investigates the impact of industrial pollution on the environment surrounding a rice processing factory in Makurdi. Water samples were collected from five different sampling points within and around the factory premises in January 2018. The investigation focused on evaluating the effects of industrial discharge at these sampling points. Several key parameters indicative of pollution, including pH, temperature, total dissolved solids, total suspended solids, conductivity, dissolved oxygen, biochemical oxygen demand, copper, nitrate, and phosphate, were carefully analyzed. Sampling activities were conducted at weekly intervals over three weeks. Both field and laboratory investigations were carried out, revealing that the physico-chemical characteristics of the water samples indicated stressed water quality concerning pH (acidity), turbidity, total suspended solids (TSS), conductivity, dissolved oxygen (DO), and biochemical oxygen demand (BOD). However, certain parameters, namely temperature, copper, nitrate, and phosphate, remained within the acceptable environmental regulatory limits, suggesting no significant pollution from these factors. Notably, the sampling points 1, 2, 3, and 4 were located at distances of 10 meters, 20 meters, 30 meters, and 40 meters, respectively, from the point of discharge, but they were situated in different locations. This variation in distance may have contributed to the observed differences in water quality. Therefore, it is strongly recommended that all waste discharged from the factory be subjected to pollution control measures. Additionally, the practice of open discharge should be thoroughly reviewed to minimize potential health and pollution hazards to both human populations and the ecosystem.
Treatment of Traumatic Direct Carotid-Cavernous Fistula with a BeGraft-Covered Stent
Authors: Seraj Farid Qoorchi Moheb , Najafi Sajjad , Raaisi Amira Al , Mirbolouk Mohammad Hossein , Ebrahimnia Feizollah , Shamsi Hashem Pahlavan , Garivani Yousef , Zabihyan Samira , Mowla Ashkan , Baharvahdat Humain
Published: May 2024

The widely accepted option for treating traumatic direct carotid-cavernous fistula (dCCF) has been endovascular treatment using detachable balloons, coils, or embolic agents. Covered stent deployment has been applied by a few operators and has shown promising results. This is a retrospective study on patients with dCCF treated by an endovascular approach using BeGraft, a covered stent. In 4 cases, this device was successfully deployed without any complications. Immediate complete occlusion was achieved in 3 patients (75%) after deployment of the covered stents. One patient required transvenous coiling for occlusion of the remaining endoleak. Follow-up imaging demonstrated 100% fistula occlusion with complete internal carotid artery patency. No early or late complications occurred following treatment. In conclusion, the BeGraft-covered stent could be a promising safe and effective alternative option for the endovascular treatment of dCCF.
Maurício Tragtenberg: o “marxista anarquizante” frente a Era Digital
Authors: Gil Gabriel de Siqueira
Published: May 2024

Com objetivo de revisitar a crítica sociológica de Maurício Tragtenberg no campo da comunicação e lutas populares, são discutidos os fundamentos da comunicação libertária e anarquista como princípios de análise da mediação e midiatização capitalista. Para tanto, recuperamos de Tragtenberg aquilo que caracterizava ser: “a emergência dos meios eletrônicos de comunicação de massa”, “o seu potencial mobilizador num novo processo produtivo” e as “contradições inerentes à estrutura dos meios de comunicação”. Postulados que incidem na análise da digitalização e dataficação social, e argumentos para a defesa da comunicação popular e propaganda crítica para transformação social.
Democracia silenciada: violações contra comunicadores/as comunitários/as nas eleições 2018-2022
Authors: Malerba João Paulo , Fernandes Rosangela
Published: May 2024

O artigo analisa e contextualiza os resultados de uma pesquisa quantitativa com comunicadores/as comunitários/as das cinco regiões do Brasil acerca das violações ao direito à comunicação sofridas nas últimas três eleições. A partir de revisão bibliográfica e documental, é apresentado um panorama acerca da situação da segurança de jornalistas, com foco nas fragilidades específicas que comunicadores/as comunitários/as enfrentam na produção local de notícias, nos ambientes offline e online. A análise dos resultados aponta para um cenário de animosidade e vulnerabilidade no jornalismo comunitário e traz elementos para o mapeamento dos fatores que influenciam a segurança dos/as comunicadores/as comunitários/as no Brasil.
Сучасний стан інформаційного забезпечення військово-технічного співробітництва
Authors: Пєтков С. В. , Карелін В. В. , Чепкова К. О.
Published: May 2024

У сучасних умовах одним із головних завдань дослідників у будь-якій галузі знань є пошук шляхів удосконалення функціонування сектору безпеки та оборони України, адже такі покращення безпосередньо або опосередковано впливатимуть на спроможність Збройних Сил України та інших військових формувань надавати відсіч збройній агресії ворога. Одним із важливих елементів такого функціонування, що вочевидь потребує уваги та дослідження, є саме військово-технічне співробітництво України з іноземними державами, адже саме від результативного провадження цього елементу діяльності держави залежить своєчасне надходження до України озброєння, військової та спеціальної техніки, боєприпасів та інших предметів (та навіть послуг) іноземного виготовлення. Звісно, що від часу витраченого на ухвалення уповноваженими особами рішення у межах військово-технічної співпраці з представниками інших країн, залежить тривалість строку постачань згаданих товарів військового призначення до війська. Важко не помітити той рівень впливу на перебіг подій повномасштабної війни, який мають затримки у таких постачаннях. Згадати навіть тривалу затримку в ухваленні рішення законодавчим органом США про виділення допомоги Україні, зокрема й військово-технічного характеру. Навіть за заявами офіційних осіб держави-партнера відомо, що таке зволікання негативно вплинуло на спроможності українського війська наносити вогневе ураження ворогу. Водночас слід припустити, що фактором, який має суттєво зменшити строк ухвалення рішень у сфері військово-технічного співробітництва посадовими особами органів державної влади в Україні, є наявність систематизованого масиву необхідної для прийняття таких рішень інформації. А, отже, метою здійснюваного дослідження постають питання із висвітлення сучасного стану інформаційного забезпечення військово-технічного співробітництва, а також формування пропозицій щодо удосконалення такого забезпечення. Так, у межах наукової статті здійснено огляд сучасного стану інформаційного забезпечення військово-технічного співробітництва, виокремлено категорії інформації, що мають бути враховані уповноваженими особами перед ухваленням рішення у сфері військово-технічного співробітництва, а також наголошено на необхідності створення єдиної відповідної інформаційної системи. Обґрунтовано, що органом державної влади, який має повноваження для створення такої інформаційної системи є Міністерство з питань стратегічних галузей промисловості України. У подальших дослідженнях варто приділити увагу висвітленню питань щодо врегулювання механізму функціонування такого реєстру, а також розподілу повноважень між органами державної влади щодо користування таким джерелом. Стаття має емпіричний характер, адже основою проведеного дослідження постали існуючі проблеми у сфері військово-технічного співробітництва, міжнародні інформаційні бази даних, а також національні джерела інформації, необхідної для ухвалення рішень у сфері військово-технічного співробітництва.
Trayectoria e influencia de la visión Indo-Pacífico de Estados Unidos de América
Authors: Rivas Pardo Pablo , Ayala Pulgar Nicole
Published: May 2024

En mayo de 2018, el USPACOM se renombró como USINDOPACOM, creándose la visión Indo-Pacífico que se presenta como una competencia geopolítica de Estados Unidos de América en contra de China. En consecuencia, se analiza la trayectoria de la visión Indo-Pacífico de Estados Unidos de América y la influencia de tal visión en los Estados que conforman el SQUAD y el non-QUAD. El análisis enfocado a poder, paz, prosperidad y principios, arroja como resultado: que mientras la trayectoria de la visión Indo-Pacífico estadounidense es en contra de China, la influencia a los dos grupos de Estados no es tal cual lo promueve Estados Unidos de América, ya que confronta menos o no se confronta a China y el contenido es dispar o simplemente no se considera.
ELN y la paz total en Colombia: las dificultades de un proceso de negociación que nunca acaba
Authors: Ríos Sierra Jerónimo
Published: May 2024

El siguiente trabajo analiza el proceso de negociación que transcurre entre el gobierno colombiano de Gustavo Petro y la guerrilla del Ejército de Liberación Nacional (ELN). A partir de una prolija revisión de la literatura especializada en investigación para la paz y resolución de conflictos, se identifican los que son considerados como los factores que más repercuten en el avance o no de un diálogo de paz. Tras ello, el trabajo contextualiza las experiencias más importantes que fracasaron en el pasado para, con ello, entender y problematizar el proceso actual. Al respecto se analizan aspectos como el nivel de hostilidades, la agenda de negociación, la cohesión de la guerrilla, el papel de los saboteadores o los rasgos del equipo negociador. De esta manera, y aunque hay muchos elementos de aprendizaje con respecto a experiencias del pasado, concurren aspectos que, por cómo se están desarrollando, pueden contribuir a dificultar un buen avance en las conversaciones que actualmente transcurren con la guerrilla más longeva del continente.
Exploring Innovative Solutions for Web App Development
Authors:   Sri Manakula Vinayagar Engineering College, Puducherry-605 107.
Published: May 2024

In the realm of web application development, the separation between front end and back end technologies has long been the norm. However, the emergence of advanced tools has revolutionized this landscape by offering integrated solutions that seamlessly combine front end and back end development processes. This shift has not only streamlined the development workflow but also significantly enhanced the efficiency and effectiveness of web application development. This content explores the evolution of advanced tools for web application development, focusing on their integration of front end and back end capabilities. Through a detailed analysis of these tools, including their features, functionalities, and advantages, this content aims to provide developers and stakeholders with insights into selecting the most suitable tools for their projects. By leveraging these advanced tools, developers can expedite the development process, improve collaboration, and deliver high-quality web applications that meet the demands of modern digital environments. Keywords: Advanced tools, Integrated solutions, Efficiency, Collaboration, Modern Digital Environments.
TO DETECT AND CLASSIFY COPD LIKE MERS-COV AND PNEUMONIA USING MACHINE LEARNING
Authors:   Assistant Professor, Computer Engineering, Dr. D. Y. Patil Institute of Technology, Jadhav1 Prof. Digambar
Published: May 2024

Chronic Obstructive Pulmonary Disease (COPD) is a global public health concern, encompassing a spectrum of respiratory conditions, including Pneumonia and Middle East Respiratory Syndrome Coronavirus (MERS-CoV). Early and accurate detection of COPD-related diseases is crucial for effective patient management and improved outcomes. This research presents a novel approach to detect and classify COPD diseases, specifically Pneumonia and MERS-CoV, by leveraging advanced machine learning techniques. We investigate the application of machine learning for the early detection and classification of Chronic Obstructive Pulmonary Disease (COPD)-related diseases, including pneumonia and MERS-CoV. A multifaceted dataset encompassing medical images, clinical data, and patient histories is leveraged to train and validate machine learning models. Convolutional Neural Networks (CNNs) are employed for image analysis, while traditional machine learning algorithms handle clinical data. Feature engineering techniques are used to optimize data informativeness. This approach holds promise for improving diagnostic accuracy, enabling timely interventions, and ultimately contributing to better outcomes in COPD management. Keywords: Convolutional neural networks , Machine learning, Training Data , Transfer Learning
Automated Time – Table Generator Using Genetic Algorithm
Authors:   Dr. D. Y. Patil College of Engineering & Technology, Katkar Atharv
Published: May 2024

Timetable creation is a very important job in schools as it helps to make sure that all resources are used appropriately and the students get an environment conducive for learning. In this paper, we introduce a new way of making them automatically using genetic algorithms for optimization. The method takes into account several restrictions such as availability of classes or subjects, preference of teachers about rooms they would like to teach in, size of rooms among many others which are necessary when generating optimized timetables for given sets of classes or resources. The structure of our suggested algorithm has been borrowed from genetics. Some objectives were considered during fitness evaluation namely even distribution across days; minimum number of gaps between consecutive periods; conformity with rules. Additionally, a Graphical User Interface (GUI) was developed alongside the algorithmic design which allows easy interaction with the user for better understanding and experience on how the system works. Through this interface users are able to input constraints, view generated timetables and do other customizations thus making it more usable than just having command line-based program. Key Words: Timetable, Genetic Algorithm, Optimization, GUI.
DESIGN AND FABRICATION OF EMERGENCY FIRE RESCUE MACHINE
Authors:   Suman Ramesh Tulsiani Technical Campus Faculty of Engineering, Poojari Pritam
Published: May 2024

Building fires pose a serious risk to people, property and the environment. Numerous factors, such as human mistakes, electrical issues, heating systems, combustible items, might cause fire accidents. The effects of fire can be disastrous, resulting in accidents, fatalities, and significant building damage. Compared to fires in low-rise structures, high-rise building fire incidents pose numerous difficulties and a greater risk. High-rise building's vertical structures, greater resident capacity, and intricate infrastructure make fire fighters and evacuating residents more difficult to escape. It is essential to comprehend the causes, effects, and preventive strategies unique to high-rise fires in order to ensure occupant safety and reduce property damage. The disturbingly high rate of fire events, which are frequently brought on by inadequate fire prevention measures and damaged infrastructure, represent a serious threat to people's lives, their property, and the health of the economy. India can reduce the dangers connected with fire incidents in high-rise structures and guarantee the safety and well-being of its residents in the urban environment by giving priorityto the implementation of appropriate rescue systems. So in this project we are going to develop such machine which can help humans to get escape in the case of emergency situation in high rise building.
Automated Student Result Analysis and Career Guidance System Using Robotic Process Automation and Decision Tree Classification
Authors:   Sanika Sashte Electronics &  Telecommunication  AISSMS COE, Sashte Sanika
Published: May 2024

For this project, we created a cutting-edge Robotic Process Automation (RPA) system that would improve and expedite the examination of student performance data. The student result PDFs are effectively converted by the system into an Excel format that is specified, with each row representing a student's results. The system conducts a thorough study of the outcomes using a machine learning technique called the Decision Tree Classification Algorithm. This analysis indicates appropriate career options, like software development or system analysis, for each student. By automating the data entry for eighty pupils, this extensive process takes place concurrently with the PDF-to-Excel conversion, greatly increasing efficiency and saving teachers a great deal of time. Furthermore, the system offers tailored career counseling, supporting educators in counseling students on the best career options and empowering students. By automating the data entry for eighty pupils, this extensive process takes place concurrently with the PDF-to-Excel conversion, greatly increasing efficiency and saving teachers a great deal of time. The system also offers pupils individualized career counseling, which helps teachers counsel students on the best job options and empowers students to make better decisions about their futures. The project provides a solid solution for automated result analysis and career path advice, showcasing the usefulness of RPA and machine learning in educational contexts. Key Words: Robotic Process Automation ,Analysis, Machine Learning, Excel File, PDF File, Software Bot
Solar Radiation Acquisition and Data Analysis Using Arduino
Authors:   Padmabhooshan Vasantraodada Patil Institute of Technology, Budhgaon, Maharashtra, Desai1 Virendra
Published: May 2024

The rapid increase in energy demand and environmental concerns has driven the adoption of renewable energy sources. Solar energy, being abundant and sustainable, has gained significant attention. Efficiently harnessing and monitoring solar energy systems is crucial for optimizing performance. This research focuses on developing a solar monitoring system using Arduino, a versatile and cost-effective microcontroller platform. The system aims to measure solar irradiance, temperature, and voltage in real-time, providing comprehensive data acquisition and analysis capabilities. This project aims to contribute to the advancement of solar energy technology by offering an effective and affordable solution for monitoring and optimizing solar installations.
Face Mask Recognition-based Door Lock Mechanism Using HaarCascade, Mediapipe, and Arduino
Authors:   Inderprastha Engineering College  Ghaziabad 201010, Verma Yash
Published: May 2024

On 12 January 2020 Chinese authorities shared the sequence of a novel coronavirus termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since then COVID-19 pandemic had rapidly affected our day-to-day life disrupting world trade and movements. Wearing face masks is one of the preventive measures recommended by health authorities to reduce the spread of respiratory droplets containing viruses, including the SARS-CoV-2 virus responsible for COVID-19. Therefore, Many regions and organizations have implemented regulations or guidelines mandating the use of face masks in specific settings. This Python-based Machine Learning project provides an automated way to monitor whether individuals in a given environment are wearing masks or not. Pre-trained Haar Cascade files are used to detect the facial features and provide a signal to the Arduino controller to lock/unlock the door. Keywords — Python, Face Mask, Door Lock, Haar Cascade, Covid-19
Implementation of Gesture-Based Virtual Keyboard and Mouse
Authors:   Information Technology / Smt. Kashibai Navale College of Engineering  Savirtibai Phule Pune University/India
Published: May 2024

The development of human-computer interaction has seen a major change in the last few years, moving in the direction of more user-friendly and effective interfaces. This tendency has prompted researchers to investigate new input techniques, especially in the field of gesture-based control systems. By utilizing both hand and eye gestures to create a gesture-based virtual mouse and keyboard, this paper introduces a novel method of human-computer interaction. The suggested system offers users a smooth and simple way to interact with computers by combining hand gesture recognition and eye-tracking technology. Users can control cursor movement and keyboard inputs without the use of physical peripherals by using the system to track their hand and eye movements and interpret them as commands. The incorporation of eye-tracking technology improves the system's accuracy and responsiveness, enabling more precise cursor control and interaction with elements displayed on the screen. Hand gesture recognition, on the other hand, gives users an ergonomic and natural way to input data, allowing them to carry out commands with straightforward motions. The architecture of the system combines real-time processing capabilities to guarantee low latency and high responsiveness with sophisticated machine-learning algorithms for gesture recognition. Additionally, users can define their gesture commands according to their needs and preferences because the system is flexible and customizable. The suggested gesture-based virtual mouse and keyboard system has undergone rigorous testing and evaluation, and the results show promising performance and usability in a range of scenarios and applications. This novel method of interacting with computers has the potential to improve user experience, accessibility, and productivity in a variety of computing contexts. Keywords: Human-Computer Interaction, Gesture Recognition, Eye-Tracking
INTERNATIONAL FINANCIAL REPOTING STANDARDS & IT’S CONVERGENCE IN INDIA 1.
Authors:   MBA, NIMS University Jaipur, Rizvi Faiz
Published: May 2024

In order to improve financial statemet comparability, accountability, and transparency, the adoption and convergence of International Financial Reporting Standards (IFRS) have become essential components of financial reporting on a global scale. This study examines the development and effects of IFRS convergence in India, focusing on the corporate, regulatory, and financial ecosystem consequences. Financial reporting procedures have undergone major changes as a result of the gradual implementation of the Indian Accounting Standards (Ind AS), which are convergent with IFRS, across a number of sectors. The present study scrutinizes the advantages of implementing IFRS, such as enhanced investor trust and global comparability, in conjunction with the obstacles encountered by Indian enterprises, such as escalated compliance expenses and the intricacy of novel standards. The study also explores the role regulatory organizations play in promoting the convergence process, including the Securities and Exchange Board of India (SEBI) and the Institute of Chartered Accountants of India (ICAI). This study offers insights into the efficacy of IFRS convergence in India by a thorough analysis of the body of research, case studies, and empirical data. It highlights significant areas of success as well as persistent challenges. The results indicate that although convergence has helped India's standing in the international financial sphere, ongoing work is still needed to resolve implementation problems and guarantee the smooth adoption of IFRS in the Indian setting. Keywords: Finance, Financial Report, IFRS.
Analysis of TAE by Modifying Cold and Hot Heat Exchanger Using Waste Heat Recovery
Authors:   Dept Mechanical Engineering JSPM’S JSCOE Pune, India, Kadam Shrutika
Published: May 2024

Abstract Thermoacoustic engines, a promising technology at the intersection of thermodynamics and acoustics, offer a novel and sustainable method for recovering waste heat from various industrial processes. This paper explores the principles of thermoacoustic engines and their potential application in waste heat recovery systems. By converting waste heat into useful mechanical work through acoustic phenomena, thermoacoustic engines contribute to energy efficiency and greenhouse gas reduction. This abstract summarizes the key concepts, benefits, and challenges associated with thermoacoustic waste heat recovery, emphasizing its role in addressing environmental concerns and advancing sustainable energy practices.
STUDY OF THE CURRENT SCENARIO, CHALLENGES, AND PROSPECTS OF E-COMMERCE IN INDIA
Authors:   Department of Commerce, Christ Church College, Kanpur, Chandra, Prakash
Published: May 2024

Electronic commerce has evolved into a revolutionary force that is reshaping the landscape of worldwide business and commerce. At the same time, it presents both novel and uncommon opportunities and challenges related to the industry. India's dynamic and diversified economic environment is paying much attention to it as a driver of inclusivity, growth, and innovation, and due to this, it is gaining much attention. This study investigates the numerous advantages and disadvantages of e-commerce in India. The study includes information on the socio-economic effects of the sector, the regulatory environment, technological advancements, consumer patterns, and potential future development. The research emphasizes the importance of establishing a robust e-policy framework to overcome challenges and make the most of opportunities within the country's socio-cultural and economic environment. In addition, the paper highlights the significance of empowering small businesses and craftsmen, creating employment opportunities, and enhancing the level of comfort experienced by customers. The utilization of the revolutionary power of a digital economy via vision, foresight, and collective effort is how India may realize its aspirations of becoming a worldwide leader in the digital era. This is despite the potential problems that may arise along the path. Keywords: E-Commerce, Current Scenario, Technology adoption, Mobile commerce, Payment systems
BLOCKCHAIN TECHNOLOGY IN SUPPLY CHAIN MANAGEMENT
Authors:   Amity University, Noida Uttar Pradesh, Chauhan Vishal
Published: May 2024

This paper aims to fill the gap in existing research by examining the impact of blockchain technology on supply chain management, particularly its ability to retrospectively trace events in the chain. For example, in pharmaceuticals, blockchain automatically records information like expiration dates, reducing the need for human involvement. By implementing this backward technology, we've simplified processes for suppliers and manufacturers, allowing the system to identify defective or expired items autonomously, saving time and costs. Previously, the supply chain operated as a one-way system without return options, but now, with blockchain integration, relevant parties are informed about necessary replacements from the manufacturer's end. Blockchain's integration into supply chain management is a significant advancement, offering unparalleled transparency, traceability, and security in logistics and distribution. This article explores how blockchain can revolutionize established supply chain practices, delving into applications like tracing goods from origin to destination, using smart contracts for automated agreements, and secure data exchange while protecting privacy. Case studies highlight advantages such as reduced expenses, risks, and improved compliance. Blockchain, as a decentralized ledger system, provides instant, unchangeable record-keeping and cryptographic validation, instilling confidence among stakeholders. In supply chain management, this means identifiable product origins, better tracking, less fraud, and quicker dispute resolution. However, challenges like scalability, energy use, and network interoperability exist, underscoring the need for industry collaboration and standardization efforts
Implementation Paper on E-Grampanchayat
Authors: Shinde Prof.Vidya.M.
Published: May 2024

E-Gram Panchayat leverages digital technologies to streamline and improve the efficiency of administrative processes within rural local self-government bodies .It enables the automation of various tasks and reduces paperwork. The use of technology ensures transparency in decision-making and resource allocation .Citizens can access information related to Panchayat activities, budgets ,and projects online, fostering greater accountability among local representatives.E- Gram Panchayat platforms often include citizen-centric services, allowing villagers to participate in governance actively. This includes online grievance redressal systems and public feedback mechanisms
VIRTUAL POTHOLE DETECTION SYSTEM
Authors:   Department of Information Technology Engineering, Smt. Kashibai Navale College of Engineering,  Pune, Maharashtra, India, Andhale Trupti
Published: May 2024

The intersection of artificial intelligence and vehicular technology has birthed a realm of innovation, revolutionizing our engagement with the automotive sphere. This survey delves into the realm of virtual pothole detection systems, a pioneering endeavor aimed at mitigating road hazards through technological intervention. As society gravitates towards a digitalized landscape, the imperative for enhanced road safety looms large. Virtual pothole detection systems represent a concerted effort to address this pressing concern, leveraging cutting-edge advancements in sensor technology, data analytics, and vehicular communication protocols. This paper scrutinizes the evolution, methodologies, and efficacy of virtual pothole detection systems, offering insights into their operational paradigms and prospects. Amidst the backdrop of burgeoning urbanization and escalating vehicular traffic, the significance of such systems cannot be overstated. By elucidating the intricacies of virtual pothole detection systems, this survey endeavors to catalyze further research and innovation in the pursuit of safer, more resilient road networks Keywords: Virtual Pothole Detection System (VPDS), Sensor Technology, Data Analytics, Vehicular Communication, Road Safety, Pothole Detection, Accident Prevention, Road Maintenance, Artificial Intelligence.
A STUDY ON SALES FORCE INCENTIVES IN ACHIEVING SALES TARGET WITH REFERENCE TO ARA TRADERS
Authors: SHALINI Dr. P.
Published: May 2024

In the study on sales force incentives in achieving sales target with reference to ARA Traders, it was found that there is a critical relationship between sales force incentive structures and the attainment of sales targets within the organizations. Through a multi-dimensional analysis, encompassing factors such as motivation, engagement, and target setting, the research aims to uncover the nuanced effects of different incentive structures on sales team behaviour and outcomes. Drawing upon internal data and industry benchmarks, the study offers a comparative analysis to identify best practices and areas for improvement in incentive design. Key words: sales force incentives, sales target, sales objectives and market dynamics.
Optimizing Last Mile Delivery Operations: A Comprehensive Case Study on Flipkart’s Innovative Approach
Authors: Agrawal Kritika
Published: May 2024

Effective last-mile delivery operations are essential for both customer happiness and long-term business growth in the ever-changing world of e-commerce. This study thoroughly examines the ground-breaking tactics and creative solutions that Flipkart, one of the biggest e-commerce companies in India, used to streamline its last-mile delivery processes. After a thorough examination that takes into account strategic network development, customer-centric efforts, and technical advancements, this paper clarifies the various tactics that have helped Flipkart become a leader in last mile delivery excellence. This paper examines the larger implications and practical insights for transforming last mile delivery operations in the e-commerce business, based on the analysis of Flipkart's case study. Keywords: Flipkart, supply chain management, e-commerce, last-mile delivery, and logistics optimization.
A STUDY ON FIXED ASSET MANAGEMENT
Authors: ANITHA, A.
Published: May 2024

Fixed assets management is an accounting process that seeks to track fixed assets for the purposes of financial accounting, preventive maintenance, and theft deterrence. According to International Accounting Standard (IAS), Fixed Assets are assets whose future economic benefit is probable to flow into the entity, whose cost can be measured reliably. Fixed Asset management is crucial to the accounting process in any business. It can be difficult to find the time and the tools to devote the needed attention to assets that they deserve. The truth is that a company’s assets are the largest investments most companies make. Sound management of assets can yield substantial tax savings in depreciation deductions. Without thorough management of assets, the accuracy of financial reports will be threatened and there will be a negative impact on your bottom line. Establishing the highest standards of depreciation accuracy and best practices in fixed asset management will pay off in the form of savings and efficiency.
A STUDY ON IMPACT OF MICROFINANCE INITIATIVES ON POVERTY ALLEVIATION AND COMMUNITY DEVELOPMENT
Authors: P Dr. SHALINI
Published: May 2024

Microfinance initiatives have emerged as powerful tools for poverty alleviation and community development. This study examines the impact of microfinance initiatives at the Ponneri Urban Co-operative Credit Societies Ltd (PUCCSL) on poverty alleviation and community development. The sample size for the study is 210. This abstract outlines the impact of microfinance initiatives on poverty alleviation and community development at the Ponneri Urban Co-operative Credit Societies Ltd (PUCCSL) stems from the urgency to assess the efficacy of these initiatives in addressing the pressing socio-economic challenges within the Ponneri community. The study investigates the impact of microfinance initiatives on income level, Self-Help Group (SHG) loans, microfinance initiatives towards employment opportunities and overall impact of microfinance on poverty alleviation. The data were collected from respondents through a well-structured questionnaire. The tools used are non-parametric tests (H- Test, U-Test, Correlation). Overall, the findings of this study highlight the significant positive impact of microfinance initiatives at PUCCSL on poverty alleviation and community development in the Ponneri region. By continuing to innovate and expand its microfinance offerings, PUCCSL remains well-positioned to drive further social and economic progress in Ponneri and empower individuals to build a better future for themselves and their communities. Keywords: Microfinance, Self-Help Group (SHG), Income level, Employment opportunity, poverty alleviation, Socio-economic growth