bluuebunny/crossref_metadata_2025 huggingface dataset:
Vitamin Deficiency Detection from eye Using Machine Learning
Authors:   Department of CSE JNN College of Engineering,, H T Krupa
Published: April 2024

Vitamin deficiencies affect millions globally, with over two billion people at risk. Early detection is crucial, yet one in three youngsters lacks proper vitamin intake. Addressing this, a novel machine learning-based approach, using eye images instead of blood samples, offers a free desktop application for vitamin deficiency detection. The software, trained to distinguish healthy and deficient eyes, provides users with comprehensive reports. Early identification of deficiencies can prevent anemia, infectious illnesses, and developmental issues. Real-world trials confirm the method's superior efficiency compared to previous approaches, marking a promising advancement in global health. Keywords: Machine Learning, Opthalmology, YOLO, Deep Learning, Image preprocessing , extraction, ultralytics.
Software Bug Prediction Using Machine Learning
Authors:   Associate Professor, Department of Computer Science and Engineering, Tirumala Engineering College, Kumar Mr. S. Anil
Published: April 2024

Software bug prediction is a crucial aspect of software development and maintenance as it directly impacts the overall success of the software. By identifying potential bugs early on, software quality, reliability, and efficiency can be improved while also helping to reduce costs. Creating a reliable bug prediction model is a complex task, with various techniques proposed in the literature. In this paper, a bug prediction model utilizing machine learning algorithms is introduced. Three supervised machine learning algorithms have been incorporated to forecast future software faults using historical data. The evaluation process revealed that Machine Learning algorithms, specifically Naïve Bayes (NB), Decision Tree (DT), and Artificial Neural Networks (ANNs), can be effectively utilized with a high level of accuracy. Additionally, a comparison measure was implemented to assess the proposed prediction model against other methods. The findings indicated that the Machine Learning approach outperformed other techniques in terms of performance. Key Words: Bug Prediction, Reliability, Efficiency, Quality, Machine Learning, Performance Metrics
Is Healthcare Facing A Silent Epidemic: The Rise Of Cyberattacks?
Authors:   Trinity Health, Trinity Information Services, Livonia, USA, Chavali Durga
Published: April 2024

Undesirable consequences, such as the potential harm due to enhanced reliance on electronic platforms, should not be underestimated regardless of the healthcare industry's spectacular growth and the repeatedly applied digital transformation during the COVID-19 pandemic. Healthcare organizations, storing endless documents with very sensitive patient data, have their allure increased among cyber-crooks. The article underlines the fact that hackers find these deficiencies quite appealing, particularly when looking at the slow and unwilling pace of technology adoption and revamping of old systems. Stringent data protection regulations like the Health Insurance Portability and Accountability Act (HIPAA) are catalyzing, cyber-badey organizations into pursuing healthcare systems as their targets for cyber-crime. Healthcare organizations are weakened by the absence of standardized practices for cybersecurity, adoption issues for interoperability, and deficiency in staff training. The article puts the weight on prevention actions as network patching, employee training, and advanced cyber threat detection technologies are vital to protect patient information and provide the high-security standards that correspond the evolving and sophisticated threats. KEYWORDS: Electronic platforms, Healthcare industry, Data protection regulations, Cyber-crime, COVID-19 pandemic.
A STUDY ON QUALITY CONTROL AND WASTE MANAGEMENT PROCESS IN MODERN BREAD COMPANY
Authors:   School Of Management       Studies Master Of Business Administration / Bachelor Of Commerce /  Bachelor Of Business Administration  Sathyabama Institute Of Science And Technology (Deemed To Be University)  Chennai -600119, V Gokul.
Published: April 2024

The modern bread industry faces challenges in maintaining stringent quality control standards while effectively managing waste. This study aims to explore and propose strategies to enhance quality control and waste management processes in modern bread companies, contributing to their sustainability and competitiveness. Utilizing a mixed-methods approach, data will be collected through surveys, interviews, and case studies from multiple modern bread companies. The research will investigate current quality control practices, waste management systems, and their associated challenges. Additionally, the study will identify industry best practices and technological innovations in quality control and waste management. The findings will inform the development of a comprehensive framework for improving quality control and waste management processes tailored to the specific needs of modern bread companies. This framework will encompass strategies for optimizing production processes, implementing advanced quality control measures, and adopting sustainable waste management practices. Moreover, the study will address the integration of digital technologies and data analytics to enhance monitoring and decision-making in quality control and waste management. The proposed framework aims to enhance product quality, reduce waste generation, and minimize environmental impact, thereby contributing to the overall sustainability and profitability of modern bread companies. The research outcomes will provide valuable insights and actionable recommendations for industry practitioners, policymakers, and stakeholders involved in the bread manufacturing sector. Keywords: Quality Control, Waste Management, Bread Industry, Sustainability, Digital Technologies, Production Optimization, Environmental Impact, Competitiveness.
LEARNING MANAGEMENT SYSTEM
Authors:   The Department of Computer Science and Engineering Chandigarh University  Mohali, India, Laroiya, Sheetal
Published: April 2024

In order to revolutionize education, our research paper explores the development and implementation of a revolutionary Learning Management System (LMS). LMS platforms play a key role in contemporary education by acting as virtual centers of instruction. In this article, we examine the essential features of our learning management system (LMS), including content management and user authentication, which improve resource accessibility and expedite instructional procedures. By employing an agile development methodology, we made sure that stakeholders were included at every stage of the project's development. We also talk about the concrete advantages that our LMS provides, such better teaching results and an improved user experience. Our study highlights the transformative potential of our learning management system (LMS) in creating inclusive and stimulating learning environments for all students by highlighting the significance of technology in education. Keywords— Digital Education, Education Technology, Progress Tracking, Accessibility in Education, User Authentication
Marketing Strategies used by the Fashion Industry in the Digital Age
Authors:   MASTER OF BUSINESS ADMINISTRATION, V Prashaanth
Published: April 2024

In today's digital age, the fashion industry adapts to evolving consumer preferences through strategic marketing approaches. Social media platforms like Instagram, Facebook, and TikTok are pivotal in reaching a wider audience and fostering personalized engagement. Collaborating with influencers and using e-commerce platforms, brands enhance their visibility and cater to the growing trend of online shopping, especially via mobile devices. They invest in user-friendly websites and apps, employing data analytics and AI for personalized marketing. Content marketing plays a crucial role in brand building, utilizing blogs, videos, and collaborations with influencers to showcase products and values. Email marketing remains effective, offering personalized promotions and targeting specific customer segments based on demographics and purchase history. Overall, the fashion industry's embrace of social media, ommerce, content marketing, and personalized campaigns enables them to thrive amidst digital transformations and connect meaningfully with tech-savvy consumers.
FAKE MEDIA DETECTION BASED ON SOCIAL MEDIA USING MACHINE LEARNING
Authors:   Department of Computer Science and Engineering  Rajiv Gandhi Institute of Technology  Bangalore – 560032, Karnataka, M Dr..Manikandan,
Published: April 2024

The proposed solution for detecting false news involves a combination of Natural Language Processing (NLP) techniques, Reinforcement Learning (RL), and blockchain technology. The process begins with the collection of a comprehensive dataset of news articles and their associated metadata, followed by NLP-based pre-processing to clean and tokenize the text. Relevant features, such as word frequencies and readability, are then extracted and used to train an RL agent. The agent is trained to distinguish between true and false news using a reward and punishment system for learning. Once trained, the RL agent can classify new articles as true or false based on their extracted features. Although the potential role of blockchain technology is mentioned, further elaboration is required. This innovative approach is aimed at combating the dissemination of false information and misinformation in the digital news. Keywords: Natural Language Processing (NLP), Block chain, Fake Media
Smart Infant Incubator
Authors:   Professor, Electronics & Telecommunication Engineering, Shri Siddheshwar Women’s Polytechnic, Solapur, Maharashtra., S.S. Mrs. Deshmukh
Published: April 2024

We propose a solution called "Smart Infant Incubator" which aims at enhancing the maintenance of new born in various hospitals to make it much better and safer. The main idea of the project is to implement an ESP32-based intelligent environment monitoring system in the incubator from which it measures the humidity and temperature data on the spot where the incubator is placed. The system uses sensors like DHT11 for live temperature and humidity readings, an intelligent alert system and it is integrated with the Rainmaker platform for remote monitoring. The power system is given special attention which includes a Li-ion cell and a charging module to charge the cell. Safety features such as overcharge protection for the battery are also added. The report gives a clear picture of the steps that were performed in the project to accomplish the goals and also the results and analysis of the project. The prototype can be very useful in improving the nursery wards where we will consider this technology to be integrated with the incubators which will be very useful in maintaining the newborns safely.
DESIGN AND CONSTRUCTION OF A PORTABLE SOLAR WATER HEATER
Authors:   B. Tech Final Year Students, Dept of Mechanical Engineering, Visakha Institute of Engineering and Technology., K Bhaskar
Published: April 2024

Solar thermal water heaters are an old technology used a century ago in California. They are now used extensively, in updated form, in many countries. According to government and industry estimates, well-functioning solar water heaters can theoretically displace 50 to 80 percent of the output of a natural gas-fueled household water heater, depending how hot water usage aligns with production and storage capacities. In so doing, they offer tremendous potential for reducing greenhouse gas emissions, fuel consumption, and energy bills. Such performance holds promise for California given its climate change and energy efficiency policy goals, since 40 percent of the natural gas used in California households is used to produce hot water. However, absent programs, only a specialty market for solar water heaters has developed. To encourage wider deployment, the California Solar Initiative—Thermal program offers financial incentives for systems qualifying under a carefully crafted set of specifications. The program has had some limited success since its inception in 2010. Within that context, this research assessed the performance and potential future use of natural gas-displacing solar water heaters in single-family homes in California, attending to a wide range of sociotechnical considerations. This project documented high diversity in user satisfaction and perceived system performance, and a qualified decrease in project costs to below $5,000 per installation. Solar water heating is a technology in progress, not universally suitable but instead appealing to varied niches shaped by household sensibilities, abilities, and hot water use levels. Thus, recent evolution provides a counterpoint to the pessimism, even as serious difficulties remain. The suitability of solar water heating for California households is not purely a matter of cost effectiveness within a typical energy efficiency framework, but also of evolving performance, perceptions, and values in light of ongoing and aspirational energy and social transitions ahead. . Key Words: Solar thermal water heating, renewable energy, domestic hot water, residential natural gas use, sociotechnical energy analysis, energy futures
A COMPREHENSIVE STUDY ON E-COMMERCE ANALYTICS FOR BUSINESS GROWTH IN INNOART TECHNOLOGIES PRIVATE LIMITED
Authors:   Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India, L .KARTHICK
Published: April 2024

In the ever-evolving landscape of business, few developments have been as transformative as the rise of e-commerce. The internet has revolutionized the way goods and services are bought and sold, offering businesses unprecedented opportunities for growth and expansion. However, with this shift from traditional brick-and-mortar stores to online platforms comes a new set of challenges and complexities. In this digital age, success in e-commerce is not merely about having an online presence; it's about leveraging data and analytics to gain insights, make informed decisions, and drive sustainable business growth. E-commerce has become an integral part of modern business, offering unparalleled opportunities for growth and expansion in the digital realm. However, with the proliferation of online transactions comes the need for businesses to leverage data-driven insights to navigate the complexities of the online marketplace effectively. This comprehensive study aims to delve into the realm of e-commerce analytics, exploring its significance in driving business growth and sustainability.
“Patient Care System
Authors:   Dept of MCA, Trinity Academy of Engineering, Pune, India, Waghmare Mr. Shailesh Sangram
Published: April 2024

Patients can register, enter their information into the system, and schedule medical visits through our project's patient care system. Every patient can receive a unique ID from our program, which also automatically saves all of the patient and staff information. Using the ID, the user can look up a doctor's availability and a patient's data. You can log in to the patient care system with your username and password. An administrator or a receptionist can access it. The database can only contain data that they add. It is simple to retrieve the data. It has an extremely user-friendly interface. The patient care system also has features that allow for easy communication between patients and healthcare providers, such as secure messaging and appointment reminders. Additionally, the system can generate reports on patient demographics, appointment scheduling, and medical history, which can be useful for tracking patient progress and improving overall patient care. Overall, our project's patient care system streamlines the healthcare process and enhances the patient experience. Keyword: Admin Module, Doctor module, health care services, user module.
Intrusion detection and prevention systems (IDS/IPS) for OS protection
Authors:   Dept of MCA, Trinity Academy of Engineering, Pune, India, Bharti Shubham
Published: April 2024

As cyber threats are increasing so it becomes important to secure operating systems. Traditional methods to secure OS is inadequate against sophisticated attacks so there is the necessity of intrusion detection and prevention systems(IDS/IPS). This research will help to protect OS from various cyber threats by making OS stronger with (IDS/IPS). This study investigates operational mechanisms and integration strategies of IDS/IPS within various different OS environments. The review of literature shows the evolution of IDS/IPS technologies, from signature-based to anomaly- based systems, which play a crucial role in preventing unauthorized access and reducing risks. Additionally, integrating IDS/IPS with OS represents a shift towards proactive security measures. Case studies highlight successful integration scenarios, demonstrating the practical benefits and challenges. In terms of methodology, this research uses a comprehensive evaluation framework, including metrics like detection rate and false positives. Real-world data, simulations, and comparative analysis are used to assess how effectively IDS/IPS enhance OS security. The results show a significant improvement in the ability to detect and prevent cyber threats when IDS/IPS are properly integrated with OS. This research is highly significant, showing the importance of adopting IDS/IPS for modern OS security. It emphasizes the need for organizations to shift to proactive defense strategies and strengthen their OS environments by leveraging IDS/IPS technologies. Future research directions include exploring AI- driven advancements in IDS/IPS and addressing emerging challenges in the ever-changing cyber threat landscape. This study provides a clear understanding of how IDS/IPS can be a crucial component in the arsenal of OS security. By shedding light on effective integration strategies and performance evaluation, it empowers stakeholders with insights on how to make their OS more resilient against evolving cyber threats. Key Words :- Intrusion Detection, Intrusion Prevention, IDS, IPS, Operating System Security, Cybersecurity.
DETECTION OF ILLEGAL ON-STREET PARKING
Authors:   Jawaharlal Nehru New College of Engineering, Shimoga, M.V Namitha.
Published: April 2024

The increase of automobiles in this generation is very high compared to the olden days. Due to the increase of such automobile, there is also a gradual increase in terms of traffic in the countries. We wait for a long time based on the traffic in the cities. The main cause for some traffic to occur is due illegal parking on roads and other areas. In order to beat this drawback, we tend to propose a way to avoid traffic that is by detecting illegal on-street parked vehicles by the use of their number plates by image processing. On-street parking refers to practice of parking vehicle on the side of public road or street. The on-street parking is common method of parking in urban and suburban areas where parking lots or dedicated off-street parking space may be limited. Due to illegal on-street parking there will be traffic congestion and also accidents may occur. “Detection of Illegal On-Street Parking” provides data of the illegally parked vehicle by capturing the image of number plate and that image is converted to greyscale, segmented and masked in the pre-processing stage. Then using Computer Vision technique, bounding boxes are formed around characters and characters are also printed with the use of CV library. The proposed also generates the chalan or invoice of penalty stating the duration of time parked in. Key Words: on-street parking, area of interest, Raspberry Pi, image processing, Resnet, Yolo v3 model, OCR.
Microservice Architecture in E-commerce Platforms using Docker and Kubernetes
Authors:   School Of Engineering & Technology  Sharda University, Aden Abdiaziz Abdullahi
Published: April 2024

software development and deployment by increasing modularity, scalability, and flexibility. This technique divides apps into smaller, independent services that communicate over HTTP APIs. Docker plays an important role in containerizing these services, guaranteeing consistent operation across several settings. Docker containers are lightweight, use the host kernel, and start quicker than typical virtual machines, making them perfect for microservices. Kubernetes, Google's open-source technology, enhances microservices by automating container deployment, scaling, and administration across host clusters. This combination creates a stable environment for delivering microservices, allowing for continuous integration and deployment (CI/CD). This article investigates the synergistic usage of microservices, Docker, and Kubernetes, showing their combined efficiency in developing, deploying, and scaling applications across many environments. Keywords— microservice, architecture, Monolithic Architecture, Kubernetes, Docker
Autonomous Vehicle for Fire detecting and Extinguishing
Authors:   Student of ECE,  RVR&JC CE,  Guntur, A.P India,, Kumar, V. Sunil
Published: April 2024

— Our project presents an innovative solution for fire detection and extinguishing through an autonomous rover system. Leveraging fire sensors integrated with a node MCU, the system swiftly identifies fire outbreaks and transmits alerts to the rover via the ThingSpeak cloud platform. Upon receipt of the alert, the rover activates a buzzer for immediate local notification and dispatches alerts through a dedicated mobile application, ensuring rapid response from relevant personnel. Employing a line follower mechanism, the rover autonomously navigates towards the fire-affected area. Equipped with a water spraying system, the rover efficiently extinguishes flames, minimizing water wastage and enhancing firefighting effectiveness. This approach significantly reduces response time, enhancing safety across diverse environments. The system's ability to optimize resource utilization and automate firefighting procedures makes it adaptable to various settings, including industrial facilities, urban areas, and remote locations. Overall, our autonomous rover system represents a substantial advancement in firefighting technology, offering swift and efficient fire detection and extinguishing capabilities to mitigate fire hazards effectively. Keywords— NodeMCU, Rover, Flame Sensors, Servomotor, L293d motor drivers, Li-ion batteries
VOICE AND JOYSTICK-CONTROLLED MULTIFUNCTIONAL WHEELCHAIR
Authors:   RVRJCCE, INDIA, Sravani K.Venkata
Published: April 2024

ur project is designed to address the needs of individuals facing physical disabilities or advanced age, resulting in limited mobility. The core functionality of our project relies on a voice recognition module and joystick controller, meticulously integrated with electric motors, which effectively interpret user-spoken commands to navigate the wheelchair. Furthermore, we will incorporate a sophisticated Android application, compatible with smartphones, to seamlessly interface with the various components of the wheelchair, enhancing its overall control and functionality. Central to our project's operation is an Arduino microcontroller circuit, skillfully interfaced with high-performance DC motors to facilitate precise and reliable movement. Keywords: Arduino, Voice recognition module, Joystick Controller, Smartphones, Voice Application
Sales Navigator
Authors:   RVRJCCE, INDIA, Singh, Sudhanshu
Published: April 2024

Sales Navigator stands as a groundbreaking project at the forefront of data-driven financial analysis, leveraging advanced deep learning technology to revolutionize the prediction and understanding of sales prices in today's dynamic financial markets. This innovative system seamlessly integrates diverse data sources and employs sophisticated algorithms to decode intricate financial patterns over time. Users are equipped with real-time data updates, customizable dashboards, and timely alerts for significant market events, creating an enriched and dynamic user experience. At its core, Sales Navigator functions as an indispensable resource for financial professionals, offering comprehensive insights into the complexities of the financial markets. The system's deep learning capabilities empower investors, traders, and financial analysts by providing them with the tools to make well-informed investment decisions. Through the fusion of cutting-edge technology and financial expertise, Sales Navigator sets a new standard in predictive accuracy and responsiveness. In essence, Sales Navigator signifies a pioneering approach to financial analysis, where deep learning technology is harnessed to navigate the intricacies of the ever-evolving financial landscape. By offering a holistic understanding of market dynamics, Sales Navigator emerges as an asset, supporting financial professionals in their pursuit of success in today's data-driven and rapidly changing financial ecosystem. Index Terms: AI, ML, Sales Navigator, Data Analytics, Real time, Transformers.
Signature Fraud Detection Using Deep Learning
Authors:   Bachelor Of Technology  Tirumala Engineering College, Prasanna, K. Lakshmi
Published: April 2024

The use of signatures for personal identification and verification is quite common. Signatures are validated for many documents such as Bank cheques and legal transactions. The necessity for effective automated solutions for signature verification has grown as signatures are now a prerequisite for both authorization and authentication in legal activities. Two images—the original signature and the test signature—are used as input in this process. To determine whether the signature is fake or not, the characteristics that were extracted are compared, and the difference in error values between them is examined. The growing digital landscape has increased the need for robust and efficient fraud detection systems. This project presents a unique approach to detecting signature fraud using deep learning techniques, specifically employing Siamese Neural Networks, implemented in Python. With a dataset comprising 2149 signature images, encompassing both genuine and fraudulent samples from Dutch users, our model demonstrates remarkable accuracy. The Siamese Neural Network architecture excels in signature verification tasks by learning to distinguish between genuine and fraudulent signatures through contrastive learning. The key achievement of this project is the exceptional accuracy levels attained during the training and validation phases. The model's training accuracy stands at an impressive 98.00%, while the validation accuracy reaches an astonishing 99.00%. These high accuracy rates are a testament to the effectiveness of Siamese Neural Networks in signature fraud detection. In a world where the security of digital signatures is paramount, this project showcases the power of deep learning and Siamese Neural Networks in safeguarding against fraudulent activities. The model's success in accurately distinguishing between authentic and forged signatures offers promising potential for enhancing security measures in various domains, including finance, legal, and document management.
E-WASTE FACILITY LOCATOR
Authors:   UG Student(MGIT), Reddy Patlolla Madhu Sree
Published: April 2024

Integrated mobile application and website offer a holistic e-waste management solution with multilingual, chatbot-driven assistance. Users can efficiently locate the nearest e-waste facility using path optimization and, upon device input, instantly view the rewards they'll receive post-disposal, which may include cryptocurrency, vouchers, NFTs, or cashback points, based on valuable materials recovered. To enhance user awareness, our platform delivers educational pop-ups related to users' recent search history, educating them about harmful and valuable components in their old devices. Furthermore, users can utilize AI and ML for quick assessments by uploading device pictures. In the spirit of sustainability, the platform allows users to not only dispose of their old devices but also purchase materials recovered from e-waste disposal. We are committed to cost-effective development, ensuring an economical yet environmentally conscious service that encompasses both a mobile app and website.
AIRLINE PRICING: HOW AIRLINES USE PRICING STRATGEIES
Authors:   Student Of BBA in Aviation Management, School of Business Galgotias University, Shivani Lilender
Published: April 2024

Airline pricing strategies play a pivotal role in the aviation industry's revenue management. This abstract explores the intricate mechanisms behind airline pricing, delving into the fundamental principles, factors, and techniques utilized by airlines to set fares. Drawing from a combination of academic research, industry reports, and real-world examples, this abstract provides a concise overview of the dynamic landscape of airline pricing. The abstract begins by elucidating the core objectives of airline pricing strategies, emphasizing the dual goals of maximizing revenue and optimizing capacity utilization. It then delineates the key determinants that shape pricing decisions, including demand forecasting, market segmentation, competition analysis, cost considerations, and consumer behavior. Furthermore, the abstract elucidates various pricing tactics employed by airlines, such as dynamic pricing, yield management, fare differentiation, and ancillary revenue generation. It examines how advanced analytics and revenue management systems enable airlines to dynamically adjust fares in response to fluctuating demand patterns, market conditions, and competitor actions. Moreover, the abstract explores the role of distribution channels in airline pricing, highlighting the importance of direct bookings, online travel agencies (OTAs), global distribution systems (GDS), and partnerships with intermediaries. It also discusses the emergence of personalized pricing strategies, leveraging big data analytics and machine learning algorithms to tailor fares based on individual preferences and purchasing behavior. Additionally, the abstract touches upon the regulatory frameworks and ethical considerations surrounding airline pricing practices, including transparency, fairness, and consumer protection. It underscores the need for airlines to strike a balance between revenue optimization and customer satisfaction, fostering trust and loyalty among passengers. In conclusion, this abstract offer valuable insights into the complex ecosystem of airline pricing strategies, shedding light on the multifaceted interplay between market dynamics, technological advancements, and business objectives. By understanding the underlying principles and tactics of airline pricing, stakeholders can navigate the competitive landscape more effectively, driving sustainable growth and profitability in the aviation industry.
Determination of load-bearing capacity of piles used in stationary offshore platforms
Authors:   OilGasScientificReserchProject Institute, SOCAR, Baku, Azerbaijan, Aslanov L. F. , Aslanli U. L. ,   OilGasScientificReserchProject Institute, SOCAR, Baku, Azerbaijan
Published: April 2024

Fastening of hydrotechnical oil-gas mining facilities to seabed soils in Caspian Sea aquatoriums is usually carried out by pile foundations. Sustainability of strength and stability during the design and construction of hydraulic structures requires to solve a number of theoretical and practical problems. Numerous static and dynamic tests (experiments) were carried out in the Caspian Sea aquatorium and in laboratory conditions to solve these issues. The widespread use of pile foundations in the development of offshore oil and gas fields revealed the inconsistency of the domestic scientific methodological and regulatory framework for calculating their load-bearing capacity over the soil. It is established that the wave strikes, acting on pile foundations, interact with the surface design of offshore structures and offshore ground bases. Sea wave banging pile foundations creates vibrations in the pile foundation - topsides offshore structures and moving piles in subgrade. Displacement piles depend on the strength of the reaction between the structure and subgrade, the intensity of the shock wave in the time that passed through piles for offshore soil. At the same time, it takes into account the rheological properties of composite models of shelf soil. Keywords: shelf; stress; ground; pile foundations; wave; marine structures; soil resistance.
Use of Informal Sharia Law for Civilizational Populist Mobilization in the 2024 Indonesian Elections
Authors:   Deakin University Alfred Deakin Institute for Citizenship and Globalisation, Bachtiar Hasnan , Shakil Kainat , Smith Chloe
Published: April 2024

The Defenders Front of Islam or the Front Pembela Islam (FPI) is an Islamist civilizational populist movement in Indonesia. Its religious and political blueprints have been a challenge to the elites in power. In 2017 and 2019, it was involved in the contest of electoral politics to fight against the elites by implementing the populist politics that tends to undermine the democratic process. As a result, it was banned in 2020 but re-established a year later. In 2024 elections, it supports for Anies Baswedan-Muhaimin Iskandar to compete against Prabowo Subianto-Gibran Rakabuming and Ganjar Pranowo-Mahfud MD. The findings suggest that by applying the Islamist civilizational populism, the FPI instrumentalizes the informal religious law to support its political mobilization. It emphasizes the legal-centric perspective of “sharia,” which gives the FPI’s activists and its wider audience only one imperative option to solve the problem: join in the populism. We arguably state that the informal religious law can contribute to the process of Islamist civilizational populist mobilization.
Application of the rules of Al-Mubâsyir and Al-Mutasabbib in Islamic economic law (Mu'âmalah Mâliyyah)
Authors: Putra Panji Adam Agus
Published: April 2024

Legal maxims are essential in determining Islamic law and resolving branching legal problems. Scholars have formulated legal maxims to address issues related to mubâsyir and mutasabbib, as well as legal responsibility. This research aims to describe the legal maxims formulated by the ulama, particularly those related to mubâyir and mutasabbib, and analyze their application in sharia economic law. The research uses a normative juridical approach and uses secondary data for qualitative data analysis. The results show that the ulama have formulated at least five rules related to mubâyir and mutasabbib jurisprudence: (1) If the direct perpetrator and cause come together, the law relies on the direct perpetrator; (2) The direct perpetrator must be held responsible even if not intentional; (3) The cause is not responsible unless intentional; (4) An action is based on the perpetrator, not the person who orders it; and (5) An animal's error is not the owner's responsibility.
A systematic evaluation of links among corporate structure, knowledge management, and financial effectiveness in Vietnam’s banking sector
Authors: Huynh Quang Linh , Nguyen Nguyen Van
Published: April 2024

There have been a few studies that have examined the moderating importance of corporate structures in the model. Consequently, the key aim of the current research is to investigate the influences of corporate structures on financial effectiveness in banking and knowledge management, where it attempts to evaluate the moderating role of corporate structures on the relationship between knowledge management and financial effectiveness in banking. The current study is based on the population of banks and banking branches in Vietnam. It employs a survey research design and targets 500 banking institutions in Vietnam. However, only 328 appropriate institutions offered sufficiently required information for analyses. The procedures of multiple regressions are applied to statistically investigate causal associations, while the methods of hierarchical regressions were utilized to examine the moderation of corporate structure in the linkages. The research results indicate statistically significant influences of knowledge management and corporate structures on financial effectiveness in banking. More importantly, this study finds that the way corporate structures affect the relationship between knowledge management and how well banks do financially is statistically significant. The empirical findings help administrators make suitable corporate structures that better match the adoption of knowledge management in banking so that they can enjoy enhanced financial effectiveness in banking. This study adds to the literature by evaluating the moderating role of corporate structures in the association between management of knowledge and financial effectiveness in banking. These distinctions improve the field, setting it apart from other research projects.
Enhancing rhizosphere bacterial activity against bacterial wilt of tomato (Ralstonia solanacearum) using biochar
Authors: Ali Subhan , Rasheed Rabia , Qazi Muzamil , Rafiq Umair , Akhtar Hira
Published: April 2024

Tomato is a plant of tropical origin and belonging to the Solanaceae family, and it provides the body with dietary fibers, minerals, vitamins, and essential proteins. It is grown globally, and its production is prone to bacterial wilt, which is caused by the disease agent Ralstonia solanacearum. Bacterial wilt can result in substantial damage to tomato production, leading to losses in yield and economic losses to farmers. The rhizosphere, which is the part of soil where plants penetrate their roots deeply in contact with the soil, contains many microorganisms that generate metabolites that act as chemical signals for motile bacteria to migrate to the surface of the roots and fix nitrogen for plant growth and development. The objective of this study was to explore biochar in the management of bacterial wilt of tomato disease caused by R. solanacearum. The experiment consisted of three parts to discern effects of different isolates of R. solanacearum, the influence of biochar with various concentrations on plant height and fruit yield, and the effects of biochar amendment with rhizosphere bacteria on plant height, fruit and disease. The result indicated that the most aggressive R. solanacearum was isolated from Chiniot district, and the 1 % biochar concentration exhibited the highest value when the plant height, the number of fruits, and the disease reduction were considered. Biochar can supplement the population of rhizosphere anti quorum quenching bacteria against R. solanacearum.
DOKUYUCU ANA ARKETİPİ BAĞLAMINDA DİRSE HAN OĞLU BOĞAÇ HAN ANLATISI
Authors: Alsaç Fevziye
Published: April 2024

Dede Korkut anlatıları, tema ve içerik yönüyle Türk toplumuna ait mitik bilincin ve kolektif şuurun seçkin metinleridir. Dirse Han Oğlu Boğaç Han anlatısı, kahramanlık temasının Oğuz toplumuna ait ideallerle şekillendiği bir metindir. Anlatıda temel vaka, baba ve oğul arasındaki çatışma ve çatışmanın çözümü olarak dokuyucu ana arketipinin işlev kazanmasıdır. Başlangıç, yaratılış, anaerkil güç, bereket, bolluk ve dişinin ağları örme vasfı üzerine inşa edilmiş dokuyucu ana arketipi, çocuk ve anne arasındaki göbek bağıyla bağlantılı geleneksel bir bağdır. Dokuyucu ana imgesinde kadının yol göstericiliği; yaşam verme, hayatı işleme, kişiyi dış dünyadaki sosyal ortama hazırlama gibi yaşamsal işlevlere sahiptir. Dokuyucu ana arketipi, kendilik bilincine ulaşmak için bilginin öğrenilmesi, keşfi ve öğrenmenin hayat boyu devam etmesi sürecidir. Hayatı tanıma, topluma kabul ve geçiş ritüelleri dokuyucu ana arketipine ait temel izleklerdir. Anlatıda dokuyucu ana figürü olan kadın, öncelikle çocuksuzluk motifinde eşinin öfkesini sakinleştirip geleneği ve atalar öğretisini telkin eder. Dokuyucu ana formunda tinsel ve içsel geleneklerin öğretiminde anne figürü, her zaman işlevsel bir öneme sahiptir. Olay örgüsünün devamında çocuğun dünyaya gelmesinde ve Dirse Han’ın Oğuz toplumunda itibarına kavuşması dokuyucu ana arketipiyle gerçekleşir. Dirse Han Oğlu Boğaç Han anlatısında anne ve eş rolünü dokuyucu ana imgesiyle koruyan kadın kahraman, oğlunun ilk avı sırasında gelişen olumsuz durum ve çatışma sürecini ipleri eğiren ve dokuyan imge olarak çözüme ulaştırır. Kadın karakter, eş ve anne olarak hem babaya hem de oğula kendilik bilincine ulaşma yolculuğunda rehberlik eder. Oğlunun babasını affetmesini ve eşinin kırk namerdin düşmanlığına uyanmasını sağlar. Boğaç Han annesinin dokuduğu kültür kodlarını özümser, hatırlar ve işlevselleştirir. Kültür kodları ailenin önemini kavramak, ataya/kökene saygı duymak, millî değerlere bağlılık göstermek ve töreye uymaktır. Boğaç Han, annesini dinleyerek kendi olma ödev ve sorumluluğunu sağlıklı bir şekilde gerçekleştirir. Dokuyucu ana arketipi, baba-oğul paradigmasında ocak kültünün bütünleştirici işleviyle gerçeği yeniden üretir. Dokuyucu ana imgesi anlatılarda dişinin dokuyarak inşa etme ve öğretme süreçlerinin ifadesidir. Dokuyucu ana arketipi, Dirse Han Oğlu Boğaç Han anlatısında dişinin, eril ilkeyi inşa etme sürecini ve evrenin/tabiatın düzeninin anlam kazanmasını sembolize eder. Çalışmada dokuyucu ana arketipi tanıtılmış; Dirse Han Oğlu Boğaç Han anlatısı örneklemiyle dokuyucu ana arketipinin anlatıda kazandığı fonksiyonlar yorumlanmıştır.
Assessing the Current State and Future Trends of Land Use Conversion: Implications for Food Security in Indonesia
Authors:   Postgraduate Program of Soil Science, Faculty of Agriculture, Universitas Padjadjaran. Jalan Raya Bandung Sumedang Km 21 Jatinangor, sumedang 45363, Indonesia., Ivanka Raisya , Atalla Fadlan ,   Postgraduate Program of Soil Science, Faculty of Agriculture, Universitas Padjadjaran. Jalan Raya Bandung Sumedang Km 21 Jatinangor, sumedang 45363, Indonesia., Dita Limbong Agatha ,   Postgraduate Program of Soil Science, Faculty of Agriculture, Universitas Padjadjaran. Jalan Raya Bandung Sumedang Km 21 Jatinangor, sumedang 45363, Indonesia., Simarmata Tualar ,   Department of Soil Science, Faculty of Agriculture, Universitas Padjadjaran. Jalan Raya Bandung Sumedang Km 21 Jatinangor, sumedang 45363, Indonesia.
Published: April 2024

Indonesia grapples with land conversion, especially agricultural land. Paddy fields have shrunk from 8.4 million hectares in 1990 to 7.18 million in 2022, translating to a rate of more than 38 thousand hectares per year and yearly loss of around 140,000 hectares of potential rice production. This study aims to inform policymakers and stakeholders on achieving food security. Through a systematic literature review, the research explores factors like settlements, urbanization, and infrastructure development driving land conversion. These factors impact regions like Bali and Central Sumba, jeopardizing rice production. Understanding these challenges and opportunities is crucial for future solutions. Potential solutions include strengthening food security across the supply chain, regulating land conversion and ownership, and promoting government support, productivity enhancement, sustainable agriculture practices, and technological integration.
Absheron Khagani Garden Study of Decorative Plants
Authors:   Institute of Dendrology Ministry of Science and Education of the Republic of Azerbaijan, Gulmammadova Shalala , Hasanova Minara ,   Institute of Dendrology Ministry of Science and Education of the Republic of Azerbaijan, Alieva Shebnem ,   Institute of Dendrology Ministry of Science and Education of the Republic of Azerbaijan, Zeynalli Aysel ,   Institute of Dendrology Ministry of Science and Education of the Republic of Azerbaijan
Published: April 2024

The article describes the results of research on the study of the taxonomic composition of ornamental trees, shrubs and grasses consisting of 29 chapters, 41 genera, 46 species in the Khagani Garden of Absheron, forms of composition, rules of grouping plants in compositions, use of small architectural forms. It was determined that these plants are well adapted to the conditions of Absheron, are promising and can be widely used in the design of parks, gardens, alleys, in the creation of various compositions.
Air Pollution Tolerance of Several Species of Trees in the Petrochemical Industry Area Using Air Polution Tollerance Index (APTI) Method
Authors:   Department of Biology, Faculty of Mathematics and Natural Sciences, University of Sriwijaya, South Sumatra, Indonesia., Juswardi Juswardi , Sa'idah Nabilah ,   Department of Biology, Faculty of Mathematics and Natural Sciences, University of Sriwijaya, South Sumatra, Indonesia., Aminasih Nita ,   Department of Biology, Faculty of Mathematics and Natural Sciences, University of Sriwijaya, South Sumatra, Indonesia., Wardana Singgih Tri a ,   Department of Biology, Faculty of Mathematics and Natural Sciences, University of Sriwijaya, South Sumatra, Indonesia.
Published: April 2024

The petrochemical industry is fertilizer industry factories whose production can have an impact on air quality. The industrial area has decreased environmental quality caused by air pollution. Air pollution comes from factory activities as well as motor vehicle fumes and forest burning. The decline in air quality is characterized by the accumulation of pollutant particles in the air. Spesies tree planting in the Petrochemical industry area aims to reduce air pollution. Trees that are able to withstand air pollution stress conditions are categorized as tolerant species. This study aims to determine the tolerance to air pollution by analyzing the Air Pollution Tolerance Index (APTI). Determination of the sampling is done by convinience sampling method with several sample criteria. The results showed that the APTI value of Filicium decipiens Wieght & Arn. (Fern Leaf Tree) was 5.08, Swietenia macrophylla King (Baywood) 5.62 and Mimusops elengi L. (Spanish Cherry) 5.93. This study shows that in the Petrochemical industry area, F. decipiens is categorized as a sensitive species, while S. macrophylla and M. elengi are categorized as moderately tolerant to air pollution based on tolerance category in Thakar and Mishra (2010).
Formação continuada de docentes nos Institutos Federais
Authors: Monteiro Letícia da Mota , Lima Andreza Maria de
Published: April 2024

Historicamente a formação continuada de professores para atuação na Educação Profissional e Tecnológica (EPT) foi marcada por estratégias emergenciais e provisórias. Neste artigo, analisamos a produção acadêmica da Pós-Graduação brasileira sobre a formação continuada de docentes dos Institutos Federais (IFs) no período de 2018 a 2022. Constituíram-se referenciais teóricos autores como Santos (2010), Nóvoa (1992, 2002) e Freire (1996, 2001). O estudo é de natureza qualitativa, do tipo “Estado do Conhecimento”. Os trabalhos foram coletados no Catálogo de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) e no Observatório do Programa de Pós-Graduação em Educação Profissional e Tecnológica (ProfEPT). Para a análise, utilizamos a Técnica de Análise de Conteúdo Categorial Temática. Localizamos doze pesquisas, que foram lidas na íntegra. As pesquisas apontaram que a formação continuada com foco na reflexão sobre a prática docente impacta positivamente os processos de ensino e aprendizagem nos IFs.
A formação inicial de professores no Programa Residência Pedagógica
Authors: Faheina Evelyn Fernandes Azevedo
Published: April 2024

O texto apresenta reflexões sobre as contribuições do Programa Residência Pedagógica - PRP para a formação inicial de professores. Para tanto, reflete sobre a organização e a estrutura do Programa e comunica os desdobramentos da aplicação de um instrumento de avaliação de hipóteses de escrita em uma turma do 1º ano, de uma das escolas parceiras do Subprojeto Residência Pedagógica do curso de Pedagogia - SRPP da UFPB/Campus I. A partir dessa ação, o SRPP identificou o nível de alfabetização no qual as crianças se encontravam: pré-silábico, silábico, silábico com valor sonoro e alfabético. De modo geral, os encontros formativos propiciados pelo PRP, a integração com a rotina escolar, os momentos de planejamento, bem como as práticas pedagógicas desenvolvidas no interior das escolas parceiras, corroboraram com a preparação dos residentes para o exercício da docência e a correlação entre a teoria e a prática.