bluuebunny/crossref_metadata_2025 huggingface dataset:
SMART LOCK SYSTEM USING IOT AND SOLANA BLOCKCHAIN
Authors:   Head of Department, Information Technology, MCT’s Rajiv Gandhi Institute of Technology, Wankhade Sunil
Published: May 2024

This project explores the integration of Solana blockchain technology with smart locking systems to revolutionize access control and security. Leveraging the decentralized and immutable nature of the Solana blockchain, the intelligent system provides a powerful platform to manage access permissions and monitor lock transactions in real-time. With integrated management and remote control, users can grant or revoke access from any mobile or web application. The scalability and efficiency of the Solana blockchain enable the system to process large volumes of transactions without sacrificing performance, making it suitable for widespread use in the field, workplace, and office. Overall, the integration of the Solana blockchain into smart registration systems represents a significant advance in access control, providing a secure, transparent and user-friendly solution to the problems of the digital age. This project presents the design and implementation of a smart lock system empowered by Solana blockchain technology, aimed at enhancing security, transparency, and efficiency in access control. Leveraging a distributed ledger framework, the system facilitates decentralized access management, allowing users to remotely authorize and monitor door access through a user-friendly mobile/web interface. The integration of Solana blockchain ensures immutability and transparency in access permissions, while also offering scalability and low-latency transaction processing capabilities. Hardware components, including smart lock mechanisms and gateway devices, are seamlessly integrated with software modules such as firmware, gateway software, and blockchain integration layers to enable secure communication and interoperability. Robust security measures, including encryption protocols and cryptographic algorithms, safeguard data integrity and privacy. Through meticulous testing, deployment, and documentation processes, this project delivers a reliable and future-ready smart lock solution poised to redefine access management paradigms in various settings, from residential homes to commercial establishments. Key Words: Solana, Smart locking systems, Security, Blockchain, Immutability
Cervical Spine Fracture Detection Using Deep Learning
Authors:   Electronics and Computer Electronics and Computer Electronics and Computer Electronics and Computer Engineering Engineering Engineering Engineering, Tapkir Yash Snatosh
Published: May 2024

We've been looking into different disease detection models that use deep learning algorithms to look at medical radiograph images. Most of the studies have been done on lumbar spine diseases, but most of the studies were done on cervical spine diseases. Cervical radiculopathy is usually diagnosed based on MRI data, but it can be hard to diagnose even with an X-ray. MRI tests are expensive, so it can be hard for patients to get the right diagnosis. Cervical spine fractures are a medical emergency, and they can lead to permanent paralysis or even death. To make sure patients get the right diagnosis, it's important to use CT scans to check for fractures. We've come up with a Convolutional Neural Network (CNN) and Transfer Learning Model that can automatically detect cervical spine fractures from CT axial images, and we've trained and validated it using 4000 CT scans. We can even fine tune the transfer learning models to make it even more accurate. Keywords Convolutional Neural Networks, Computed tomography ,Deep learning , CT image , x ray , medical image , Spine disease , cervical spine fracture , Graphical user interface , Cervical radiculopathy.
Formulation & Evaluation of Syzygium Cumini-L syrup for treatment of diabetes mellitus
Authors:   Rungta Institute of Pharmaceutical Sciences & Research, Ansari Md. Shahid
Published: May 2024

Jamun seeds, derived from the Syzygiumcumini tree, have garnered attention for their potential health benefits, particularly in managing diabetes and associated complications. Rich in bioactive compounds like jamboline, polyphenols, and flavonoids, jamun seeds exhibit strong antioxidant properties, effectively scavenging free radicals and reducing oxidative stress. Studies suggest that these seeds may aid in regulating blood sugar levels by enhancing insulin sensitivity and glucose uptake in cells. Additionally, jamun seeds have shown promise in improving lipid metabolism, thereby mitigating the risk of cardiovascular issues often prevalent in diabetic individuals. This abstract highlights the therapeutic potential of jamun seeds, positioning them as a natural and beneficial component in diabetic management and overall health promotion. KEYWORD: Phytochemicals, Jamun seeds, polyphenols, extraction
Formulation & Evaluation of Syzynium jambolanam extract for treatment of diabetes mellitus
Authors:   ungta Institute of Pharmaceutical Sciences & Research, Kusre Riya
Published: May 2024

Diabetes mellitus has become a serious and chronic metabolic disorder that results from a complex interaction of genetic and environmental factors. The patient of diabetes had polyuria (passing excessive urine) Diabetes can be caused by too little insulin, resistance to insulin, or both. Diabetes is a chronic disease marked by high level of sugar in the blood. Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia with disturbances of carbohydrates, fats and protein metabolism resulting from the defect in insulin secretion, insulin action or both. More than 300 million individuals worldwide are affected by this condition, and the number is growing rapidly because current medical technology has no permanent cure Homoeopathy is one such area of medicine that has had some success in the treatment of diabetes. Diabetes can be caused by too little insulin, resistance to insulin, or both. Diabetes is a chronic disease marked by high level of sugar in the blood Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia with disturbances of carbohydrates, fats and protein metabolism resulting from the defect in insulin secretion, insulin action or both. There are two major types of diabetes that is Type 1 DM, Type 2 DM. other types are Homoeopathy uses natural materials such as plants, animals, minerals to prepare medicines from. Plants form a major portion of homoeopathic medicines. Plants such as Syzygiumjambolanum, Gymnemasylvestre, etc. have long been used to treat diabetes traditionally as well as in homoeopathy. These plants act in reducing the blood glucose level.
GARBAGE MANAGEMENT SYSTEM FOR SMART CITY “
Authors:   Sinhgad Institute Of Technology , Lonavala ,Maharashtra , India, More Shital
Published: May 2024

This project presents an IoT-based smart dustbin using NodeMCU, MQ-135 gas sensor, ultrasonic sensors, a servo motor, and the Blynk platform. It features automatic lid operation via proximity detection and monitors fill level and gas concentration in real-time, displayed on the Blynk app. A custom PCB ensures reliable connections. If harmful gas levels are detected, the system triggers a buzzer and opens the lid for ventilation. This smart dustbin enhances hygiene and safety, demonstrating IoT's potential in improving waste management for households and public spaces Key Words: NodeMCU (ESP12E), Ultrasonic Sensor [2 units],7805 Voltage Regulator, MQ-135 Gas Sensor, Servo Motor 9g,Buzzer,DC Adapter (9 Volt),Soldering Iron, Solder Wire.
GAMEDUCATION: FUTURE OF LEARNING
Authors:   Sinhgad College of Engineering, Pune, India, Kumar Dipesh
Published: May 2024

The advent of technology has revolutionized education, prompting the development of innovative e-learning platforms. This research paper explores the integration of interactive games into such platforms, aiming to enhance student engagement, motivation, and learning outcomes. Through implementation in educational settings and subsequent case studies, the paper evaluates the impact on student engagement, motivation, and learning outcomes. Results indicate significant positive effects, affirming the potential of interactive games to transform traditional educational practices. Keywords: Metaverse, MongoDB, Unity, Godot, Unreal, HTML, CSS, JavaScript, React.js, AR, VR.
Fintrack (Personal Finance Tracker)
Authors:   Acropolis Institute of Technology and Research, DUBEY PRIYANSHU
Published: May 2024

Fintrack is a comprehensive personal finance tracker designed to empower people to take control of their financial well-being. This summary provides an overview of Fintrack's main functions, features and potential impact on personal financial management. Fintrack provides its users with a centralized platform to track and manage their finances easily and efficiently. The platform allows users to add their financial accounts, including bank accounts, credit cards, loans and investments, providing a holistic view of their financial situation. With Fintrack, users can easily categorize transactions, set budgets and track their spending habits in real time. The platform's intuitive user interface and user-friendly design streamline the budgeting process, helping users identify savings goals and optimize their financial habits. Fintrack allows users to set and track financial goals, whether it's saving for a major purchase, paying off debt or planning for retirement. The platform provides users with personalized insights and recommendations based on their financial behavior to guide them to make smarter financial decisions. Security and privacy are paramount as Fintrack uses advanced encryption protocols and strict privacy measures to protect users' sensitive financial information. Overall, Fintrack is a valuable tool for people who want to achieve financial wellness and create a brighter financial future. With its comprehensive features and user-centric approach, Fintrack aims to revolutionize personal financial management and enable users to achieve their financial goals with confidence and clarity. Keywords: Personal Finance Management, Financial Tracking, Investment Tracking.
Image Caption Generator
Authors:   AI Ameen college of Engineering, Bhima Koregaon, Pune, Pandit, Ashwini
Published: May 2024

An Image Caption Generator is a sophisticated AI system that combines computer vision and natural language processing to automatically create descriptive textual captions for images. This technology utilizes deep learning, particularly Convolutional Neural Networks (CNNs), to analyze and extract meaningful visual features from the input image. These features capture details about the objects, scenes, and elements within the image. Subsequently, a natural language processing model, often built on Recurrent Neural Networks (RNNs) or Transformers, processes these visual features and generates coherent, contextually relevant captions. Post-processing steps may be applied to enhance the quality of the generated text. The primary aim of Image Caption Generators is to facilitate image understanding, improve accessibility, and enhance content search ability by providing human-readable descriptions for visual content. This technology is instrumental in various fields, including content tagging, accessibility tools for the visually impaired, and enhancing user experiences in multimedia content management systems, ultimately bridging the gap between visual and textual information for a more comprehensive and humanlike interpretation of images
Optimal Node Routing Layouts in Mobile Adhoc Network
Authors:   Shri Venkateshwara University, Gajraula, Uttar Pradesh, India., Mittal Samridhi
Published: May 2024

Mobile Adhoc Network (MANET) is a self-organizing network of various network devices responsible for communication. In MANET, new layouts are adopted for energy optimization, security implementation, traffic minimization and overhead reduction. MANET are aggressive in nature. This requires modification in network routing protocols for performance enhancement. This paper presents the detailed survey of different layouts involved in the implementation of network routing protocols in MANET. The survey is classified into four phases involved in MANET routing applications namely- routing protocols, neighborhood discovery, distributed or centralized hash tables, and bloom filter. Firstly, the classification of routing protocols based on various traffic models presents the MANET configuration. Secondly, a neighborhood discovery mechanism conveys the enhancement in the routing configurations. Thirdly, application of hash table operation (distributed/ centralized) to MANET to improve the matching efficiencies and computational speed. Finally, the application of bloom filter concept to improve service discovery rate and reduce the fake identities. Traditionally, the unpredictability occurs during the prediction of optimal node routing due to the dynamic nature of the MANET. Moreover, the presence of ejected malicious node in another cluster disgraced the link stability. This survey conveys the problems such as storage overhead, mobility nature, malicious nodes, and false positive rates in the traditional methods. The detailed survey leads to the stone of integration of Distributed Hash Table (DHT) with a bloom filter to reduce the problems in traditional research works. Index Terms – Performance Optimization, Bloom Filter, Centralized Hash Table (CHT), Distributed Hash Table (DHT), Energy Consumption, Mobile Ad- hoc Network (MANET), Quality of Service (QoS), Routing.
TrenchX An Integrated Marketplace for Secure E-Commerce and NFT Transactions
Authors:   SKNCOE, Pune 411041, India, Patankar Rutwij
Published: May 2024

TrenchX stands as a groundbreaking initiative at the intersection of e-commerce and blockchain technology, dedicated to empowering artists, entrepreneurs, and users in the digital marketplace. Leveraging the decentralized and transparent nature of blockchain, TrenchX offers a user-friendly platform for creating, managing, and trading Non-Fungible Tokens (NFTs). These NFTs, powered by smart contracts, serve as unique digital assets representing ownership of various forms of digital content, including artworks, collectibles, and more. By seamlessly bridging traditional e-commerce with blockchain innovation, TrenchX provides a secure and transparent environment for individual creators and businesses to thrive alongside their conventional counterparts. The project's objectives are multifaceted, aiming to democratize access to the digital marketplace, ensure transparent and fair transactions, and foster a vibrant, community-driven ecosystem of creativity and entrepreneurship. Through a comprehensive exploration of its technical architecture, implementation strategies, and potential impacts, this research paper endeavors to shed light on the transformative potential of TrenchX in revolutionizing e-commerce and empowering creators in the digital age. Keywords: Blockchain Technology, Decentralized Platform, E-commerce, Non-Fungible Tokens (NFT) Marketplace, Ethereum, Security and Privacy, Transparent Exchanges.
Optimizing Cloud Application Performance: A Survey on Load Balancing Techniques
Authors:   School of Computer Science And Information Technology, G A Akash
Published: May 2024

In the contemporary realm of operation in the World Wide Web, the cloud applications have to meet the high availability, operations on dynamic loads and must function at a very high quality. Load balancing is a proper technique to achieve above goals to distribute the loads across the server or to the various resources. This distribution optimizes performance, scalability, reliability and resources to be used, hence making the network to be appealing to bigger organizations to adopt it. The advantages because of load balancing are reduced response time, increased throughput and fault tolerance because the network traffic load is spread evenly among different servers thereby avoiding the occurrence of a bottleneck server. Some of these ways include Round Robin, Least Connection, and Weighted Distribution, help in the process by making it possible for systems to horizontally scale up for more traffic. As cloud services becomes popular, it becomes very important to manage the load since some applications or services may be more resource intensive than others. It distributes the incoming requests following the current loads on various servers and consequently, no server is too busy or idle. Also, load balancers provide for fault tolerance in the sense that traffic will be handled by other healthy servers in the occurrence of failures hence the solutions are highly available and reliable. Load balancing algorithms such from the basic rule-dependent to complex reinforcement learning algorithms are very crucial with respect to allocation of resources, energy management, and stability of the system. These algorithms will be increasingly important as cloud environments develop further in the efficiency of delivering services and the managing of resources needed, benefiting both the economy and the environment. INDEX TERMS: Performance, Scalability, Response Times, Latency, Horizontal Scaling, Load Balancing
Gas Leakage Detection and Prevention Using Sensors and IoT
Authors:   Computer Science Engineering Department, Sambhram Institute of Technology, Kulkarni Abhijith T
Published: May 2024

In today's world, safety is critical, and good safety systems must be put in place. The principal objective of this study is to design a gas sensing and warning system based on Internet Of Things. LPG is used for cooking and in industries. Since LPG is stored and handled by civilian’s, it is easily damaged. In any case, when the gas cylinder, controller, and tube are not in great state, breaks occur, resulting in an issue. Accidents can cause problems such as suffocation and can start fires. Installing gas leakage detectors in vulnerable areas is the most important measure to avoid accidents caused by gas spill. The primary purpose of this study is to propose a framework for detecting and eliminating gas leakage in vulnerable areas. The gas sensor is one such way of detecting and alerting people to gas spills in their initial stages. The gas leak detection system includes a GSM module that sends SMS messages when a gas leak is noticed. It also turns on the exhaust fan and alerts the firefighter department and helps us prevent unexpected disasters. This device can be used in households and industrial facilities, they can be controlled and observe conditions remotely. Key Words: Node MCU, MQ6 Sensor, ESP2866 WIFI, Servo Motor, GSM module.
Smart Home Automation System Using IOT
Authors:   Dept. of Computer Science IIMT College of Engineering, Greater Noida, Jha, Aditya Kumar
Published: May 2024

The concept of a "smart home" is rapidly gaining popularity among homeowners worldwide, and it's all thanks to the integration of WiFi connectivity. Smart home automation systems driven by WiFi offer exciting new possibilities for enhancing our living spaces, from increased comfort and convenience to greater energy efficiency and sustainability. By leveraging the power of WiFi, smart home automation systems enable us to remotely monitor and manage various aspects of our homes using smartphones, tablets, or other internet-enabled devices. Plus, these systems are designed to seamlessly communicate and integrate across different manufacturers and platforms, making it easier than ever to customize your living space to suit your needs. But the benefits of smart home automation systems go beyond mere convenience. They also have the potential to significantly reduce our energy consumption, minimize waste, and contribute to a more sustainable future. At the same time, integrated sensors, cameras, and motion detectors can enhance our home security and safety, providing peace of mind and mitigating risks associated with burglary, fire, or other hazards. Ofcourse, there are some challenges and considerations to keep in mind when it comes to WiFi-enabled smart home automation systems. Privacy and data security are top concerns, and interoperability and compatibility issues must be addressed to ensure that these systems remain flexible and adaptable to the evolving needs and preferences of homeowners. Additionally, user-friendly interfaces and intuitive design principles are essential for ensuring a positive and enjoyable experience. In this research paper, we aim to explore the transformative potential of WiFi-enabled smart home automation systems and provide constructive insights into how we can overcome the challenges and considerations associated with this technology. By shedding light on the opportunities, challenges, and best practices associated with these systems, we hope to empower homeowners, policymakers, and industry stakeholders alike to make informed decisions that enhance the quality of life while safeguarding privacy, security, and sustainability.
Design & Impact Analysis of Automobile Chassis/Frame
Authors:   Department of Mechanical Engineering, Dhole Patil College of Engineering, Pune, India, Sangar Mr. Rajat
Published: May 2024

The impact performance of a vehicle chassis is critical for safety and durability, influenced significantly by the materials used. Two common materials are AISI 4130 and AISI 1018, each with distinct properties affecting their impact resistance. AISI 4130, a chromium-molybdenum steel, is known for its high strength and toughness, providing excellent resistance to deformation and cracking. This makes it ideal for high-performance vehicles where impact resistance is crucial. However, its increased weight can be a drawback in some applications. Conversely, AISI 1018 is a low-carbon steel offering a balance of strength, ductility, and formability. It is lighter and more easily formed into complex shapes, making it a cost-effective choice for many applications. Despite its lower strength compared to AISI 4130, it is suitable for scenarios where weight and cost are more critical. Choosing between AISI 4130 and AISI 1018 depends on specific application needs. For high impact resistance and performance, AISI 4130 is preferred. For weight-sensitive and cost-efficient applications, AISI 1018 is more suitable. The decision requires careful consideration of material properties, application requirements, and design constraints. Key Words: AISI 4130, AISI 1018, Chromium Molybdenum Steel, Low Carbon Steel, Impact Resistance.
Deep Learning Based Partial Face Recognition System
Authors:   Department of Information Technology VPKBIET, Baramati, Babar Shubham
Published: May 2024

It's attempting to change and perceive your face in an uncontrolled setting. Late examinations have shown that significant learning techniques succeed on these two tasks. significant streamed play out various errand’s structure, which uses the inherent relationship among plan and distinguishing proof to further develop execution. Specifically, our strategy predicts face and achievement circumstance in a coarse-to-fine way using a three-layered streamed designing of especially arranged significant convolutional networks. Reassuringly, our response outmaneuvers the state-of-the-art techniques before long beating the benchmark and dataset for testing midway face area, persistent execution, and bothering tatted facial places of interest in the wild for face plan and partial face ID, as well as the Greater FACE benchmarks for midway face revelation. In this assessment our work is to encourage a structure for face recognizable proof and affirmation in the continuous. That will be capable and offer response for certain issues. Key Words: Convolutional Neural Network, deep Learning, Image Processing.
Coupon Code Junction
Authors:   Dept. of Computer Science Engineering, D Y Patil College of Engineering and Technology (Autonomous), Kasaba Bawada , Kolhapur, Maharashtra., Gavali Prof Pralahad
Published: May 2024

The aim of this paper is to present the development of a coupon code trading platform that has been specifically developed for UPI (Unified Payments Interface) coupons. Traditional coupon trading websites are limited in various aspects, particularly with respect to UPI coupons. This project overcomes this by providing a platform where users can trade UPI coupons; hence it improves the usability and engagement. For example, it guarantees safety standards, dependability, and friendliness to all the users who would like to participate in coupon trading thereby creating an environment where people feel comfortable doing so . In order to meet these goals , we have incorporated several requirements into the system such as authentication, services, validation, database management and payment gateway among other things. This paper discusses the problem, solution method used as well as methodology and significance of the PLATFORM. Keywords: couponing business; UPI; commercial e-commerce; online platform;customer interaction with product or service attributes; secure transactions
REMOVAL OF HEAVY METALS FROM INDUSTRIAL SEWAGE SLUDGE BY APPLICATION OF VERMICOMPOSTING.
Authors:   Zeal College of Engineering and Research Pune, Narhe., Bansode Ajay R.
Published: May 2024

India faces a significant challenge with the escalating production of industrial sewage sludge, which contains hazardous heavy metals and toxins, posing a serious environmental threat. Managing the disposal of such waste is increasingly difficult due to its resistance to degradation. This research explores the potential of vermicomposting as a sustainable solution for mitigating heavy metal contamination in sewage sludge. Vermicomposting harnesses earthworms to accelerate organic matter decomposition and immobilize heavy metals. The study investigates various vermicomposting parameters, such as worm species, moisture levels, pH, and NPK to optimize heavy metal removal. Furthermore, it assesses the quality of the resulting vermicompost, focusing on heavy metal concentrations and potential agricultural applications. The findings indicate that vermicomposting holds promise as an eco-friendly method for addressing heavy metal pollution in sewage sludge, offering opportunities for sustainable waste management and soil enhancement. Key Words: Industrial waste, Heavy Metals, Land applications, Vermicomposting Method, Chemical speciation, Characterization and speciations.
IMPROVING MARKETING STRATEGY BY USING MACHINE LEARNING AND GPS TRACKING
Authors:   DYPIEMR, Waykar Ms. Shritika
Published: May 2024

"Hawkar and Vendor is a remarkable software program that utilizes Global Positioning System (GPS) or radio frequency identification (RFID) to define geographical boundaries. Essentially, Hawkar and vendor create a virtual barrier known as geofencing, which is an innovative technology enabling an online marketplace for proactive contextual services. This technology allows users to easily discover and subscribe to interesting services, while enabling providers to offer their services for a variety of applications such as electronic toll collection, contextual advertising, or tourist information systems, without the need for additional infrastructure. The primary objective of this research was to explore how the use of spatial data can enhance advertising performance for customers. Tracking systems and monitoring, based on global navigation services by satellite and including geofencing functionality, could also contribute to pinpointing the exact location of an institution or company, thereby enhancing sales and business prospects efficiently. This shift allows for advertising on smartphones as an economically and accurately tested alternative to large billboards." Key Words: Hawkars &Vendors, Special offer ,Machine learning, Blind people
EXAM SECTION MANAGMENT SYSTEM
Authors:   SPCOET Someshwarnagar College, Baramati, India, S.A Deokar
Published: May 2024

The Exam Section Management System (ESMS) is a comprehensive solution for managing exam-related tasks in educational institutions. It generates a master timetable, organizes seating arrangements, and efficiently allocates faculty resources. The system considers factors like course requirements, faculty availability, and student preferences to create an optimized timetable. It also allows dynamic adjustments to seating arrangements based on last-minute changes or special accommodations. The system also assigns faculty members to examination sessions based on expertise, availability, and workload, ensuring equitable distribution and efficient examination management. Keywords: Allocation, Exam Duties, Supervision, Invigilators, Blocks, Mastertimetable , Summary.
Authors: Bangsawan Anugrah , Masruchin Masruchin , Hendro Beko
Published: May 2024

Penelitian ini mengungkapkan bahwa otoritas kekhalifahan Utsman bin Affan memainkan peran penting dalam pengumpulan ayat-ayat Al-Qur’an. Untuk itu, tujuan penelitian ini akan menjabarkan bagaimana langkah-langkah yang dilalui Utsman untuk menjadikan Mushaf Utsmani sebagai mushaf yang resmi. Melalui metode penelitian kualitatif dengan studi kepustakaan (library research), pendekatan sejarah (historical approach), dan metode analitis-kritis, beberapa hasil signifikan telah ditemukan. Hasil yang didapat dalam penelitian ini yaitu pada masa kepemimpinan Khalifah Utsman bin Affan, beliau meminjam mushaf dari masa Abu Bakar, menugaskan para tim agar segera menyusun Mushaf Utsmani, kemudian mengirimkan salinan ke berbagai kota, mengirim mushaf sahabat selain Utsmani, dan mengirim pembaca Al-Qur'an yang dilengkapi dengan mushaf. Langkah-langkah ini mencerminkan kebijakan proaktif Utsman untuk memelihara keutuhan Al-Qur'an dan memastikan bahwa ajaran Islam yang berasal dari wahyu Ilahi tetap tidak berubah dan seragam di seluruh umat Islam.
Efisiensi Pemasaran Bawang Merah di Desa Selopamioro, Kecamatan Imogiri Kabupaten Bantul, DIY
Authors: Nugroho Mayang Ambarwati , Suswatiningsih Tri Endar , Ismiasih
Published: May 2024

This research was conducted at Selopamioro village, Imogiri county, Bantul district. The tedious shallot marketing chain and a big difference in price affected by the marketers resulted in the farmers being left with dissatisfied prices. The purpose of this research is to understand the marketing pattern (channel), the price difference (margin) the efficiency of the marketing system and farmer’s share. The research volunteers of farmers and merchants surveyed with the snowball sampling method consisted of 25 farmers, 3 collectors, 3 wholesalers, and 3 small merchants. The marketing channel was discussed descriptively, meanwhile, the price difference (margin) and the marketing efficiency were explained quantitatively and supported by data and equations. The result showed that Selopamioro village used 2 different channels to market the shallot harvest which are, 1st channel: Farmers – Collectors – Wholesalers – Small Merchants – Consumers; and 2nd channel: Farmers – Collectors – Wholesalers – Consumers. The marketing efficiency in the village has proven to be “efficient”, where the highest efficiency comes from the 2nd channel with 2,84% compared 1st channel with 2,92%. The price difference (margin) on the 1st channel costs 21.500 Rp/Kg, while the 2nd channel costs 16.500 Rp/Kg. The score of Farmer's sharehas been “efficient” with the score of 1st channel is 48,81% and 2nd channel is 55,41%.
Implementation of 21st Century Learning through The Stages of Teaching at The Right Level Approach for Students of Integrated Islamic Elementary Schools
Authors: Muhajang Tatang , Suryanti Yanti
Published: May 2024

21st-century skills generally refer to the core competencies of digital learning, critical thinking, and real-world problem-solving. These skills are developed to help learners cope with modern developments. Learners are seen as individuals who are active learners, rather than spectators and listeners. The study aimed to investigate the implementation of 21st-century learning through the application of the Teaching at the Right Level (TaRL) approach.  The research method is descriptive qualitative, which describes the results of interviews, questionnaires, and observations conducted by researchers. The results of the data analysis of fourth grade students in IPAS (Social and Science Subject) learning show better results, the mean score of students is 82.21 with the performance of students above the criteria for achieving learning goals as high as 84 percent, i.e. 16 students and 16 percent, i.e. 3 students have still not achieved KKTP. The highest score is 100 and the lowest score is 41. The percentage shows that the implementation of 21st-century learning by applying the TaRL approach helps students develop critical thinking, problem-solving, and intellectual skills and shows that students' learning outcomes have improved.
Big Data, Artificial Intelligence, and Financial Literacy: Exploring their Combined Influence on Investment Behavior among Chinese Household
Authors: Zhang Runhe , Sidik Morni Hayati Jaafar
Published: May 2024

The investing behavior of Chinese families is undergoing a dramatic transition in the context of the digital financial era, impacted by factors such as big data use, AI adoption, financial literacy, digital literacy, and risk aversion. Although prior research has offered useful insights into certain components, a thorough examination of their linked dynamics has been lacking. The purpose of this research was to look into how big data usage, AI adoption, financial literacy, digital literacy, and risk aversion influence investment behavior among Chinese households. Additionally, it aimed to learn more about how risk aversion and digital literacy function as mediators in these relationships. A questionnaire-based survey of 370 Chinese families was employed as part of the quantitative research methodology. The study employed AMOS to find the relationship between variables. The research found that big data usage, AI adoption, financial literacy, and digital literacy significantly and favorably influenced Chinese households' investment behavior. It was discovered that digital literacy mediated the linkages between the adoption of technology and investment decisions. Furthermore, risk aversion reduced the effects of financial literacy and big data usage on investment behavior. This study added to the body of knowledge by providing a comprehensive framework that incorporates several aspects impacting investment behavior. It shed insight into the complicated dynamics of technology uptake and literacy, as well as their impact on investment decisions. The study went beyond individual components to investigate their interactions, resulting in a more complex view of modern investment behavior. This study has broad-ranging effects that will help investors, financial institutions, governments, educators, and researchers. The focus on a particular setting and self-reported data are two important constraints that must be acknowledged. Future studies can investigate longitudinal dynamics and cross-cultural variances to further our understanding of investment behavior in the digital age.
Prime Number Theorem and Goldbach Conjecture
Authors: Zhou Pingyuan
Published: May 2024

Let Ln denote the largest strong Goldbach number generated by the n-th prime Pn, in this paper, we present that there are approximate bounds of Ln such that 2nlogn + 2nloglogn – 2n < Ln < 2nlogn + 2nloglogn for n ≥ 20542, based on results about prime number theorem. Let ξ(n) = Ln/2 denote the number of strong Goldbach numbers generated by Pn, equivalently, there are approximate bounds of ξ(n) such that nlogn + nloglogn – n < ξ(n) < nlogn + nloglogn for n ≥ 20542. The approximate bounds of Ln have been verified for 20542 ≤ n ≤ 400000000, equivalently, the approximate bounds of ξ(n) have also been verified for 20542 ≤ n ≤ 400000000. It is obvious that if it can be proven that there is an integer k > 0 such that bounds of 2Pn can be thought as approximate bounds of Ln for all n > k, or equivalently, there is an integer k > 0 such that bounds of Pn can be thought as approximate bounds of ξ(n) for all n > k, then Goldbach conjecture is true. We also considered another approach to the conjecture, that is, if it can be proven by introducing Li(n) that there are infinitely many Goldbach steps, then Goldbach conjecture is true.
Effect of Service Quality on Hotel Guest Loyalty with Hotel Guest Satisfaction as an Intervening Variable in Five-Star Hotel
Authors: Pandiangan Saut Maruli Tua , Lumbanraja Penny Chariti , Lumbanraja Pretty Luci , Gultom Josua Alexander , Anwar LC Mohammad
Published: May 2024

The tourism sector is one of the sectors that supports regional and national income. The tourism sector includes hotels, tourist attractions, and other sectors that support the tourism sector. Tourism has an important role in increasing the country's foreign exchange by increasing the number of tourists. The hotel becomes a company managed by the owner by providing services and facilities and is paid according to the services received without special approval. Hotels are used as an alternative accommodation that is sought after by immigrants, therefore hotel prices are very influential in attracting tourists. The purpose of this research is to analyze effect of service quality on hotel guest loyalty with hotel guest satisfaction as an intervening variable in Five-Star Hotel. The approach in this research is a quantitative approach. Population in the study were guests at Five-Star Hotel in Medan City. Sampling technique in this research carried out through purposive sampling. Sample in this study were guests who had stayed at least twice at Five-Star Hotel in Medan City. The number of samples in this study based on the Slovin formula was 100 respondents. Hypothesis testing in this research uses path analysis. The research results show that service quality has a significant effect on hotel guest satisfaction in Five-Star Hotel. Service quality has a significant effect on hotel guest loyalty in Five-Star Hotel. Hotel guest satisfaction has a significant effect on hotel guest loyalty in Five-Star Hotel. Service quality has a significant effect on hotel guest loyalty through hotel guest satisfaction in Five-Star Hotel.
Opleidingen voor data scientists
Authors: Grijpstra Douwe
Published: May 2024

Opleidingen voor data scientists

In de rubriek Beleidsonderzoek Benut besteden we dit keer aandacht aan de haalbaarheidsstudie voor een opleiding voor data scientists.
Detailed Active Fault Map of the Spin Ghar Fault System and Related Seismicity in Eastern Afghanistan
Authors:   St John’s College, University of Oxford, St Giles', Oxford OX1 3JP, UK, Shnizai Zakeria , Walker Richard
Published: May 2024

The Spin Ghar fault system is one of the major active structures in northeastern Afghanistan, stretching ~130 km east-west along the Spin Ghar Mountains in the Jalalabad Basin. The fault system includes a group of strike-slip and oblique-slip thrust fault strands only 25 km from Jalalabad City. However, there is no existing detailed map of the fault traces, which is essential for mitigating seismic hazard from future seismicity. We therefore studied the fault-related geomorphology based on the interpretation of satellite images and shaded-relief topography. To identify exposed lithologies within the area we used true colour and false colour composite (FCC), band rationing and principal component analysis (PCA) on multispectral imagery. The Spin Ghar fault system is marked by both continuous and discontinuous linear and arcuate fault scarps developed in piedmont alluvium and along the Spin Ghar Mountain front. We also recognised scarps cutting bedrock terrain. Several deformed surfaces of Neogene-Quaternary age are observed along the fault strands in the Jalalabad Basin. The basin is also traversed by a series of east-west arcuate folds that suggest the area is undergoing south-north compression. The Quaternary faulting and seismicity demonstrate the kinematics of faulting in eastern Afghanistan. Our observations suggest that the east-west–trending right-lateral strike-slip and oblique-slip thrust faults are active and are important components of the seismic hazard in the eastern Afghanistan.
O desenvolvimento de uma ferramenta de follow-up e seu impacto na gestão da produção e controle de estoque
Authors: Soares Letícia Viana , Mangini Eduardo Roque
Published: May 2024

A ferramenta de follow-up permite comparar o estoque atual com o programa de produção para identificar e planejar as medidas necessárias. De acordo com essa comparação, os planejadores podem ter a visão de como ajustar a programação de produção para evitar atrasos ou paralisações na linha de produção. Sendo assim, o objetivo do artigo consiste no desenvolvimento de ferramenta de acompanhamento de estoque e produção bem como na avaliação dos impactos no ambiente de produção  e geral de empresa do setor alimentício. O método usado foi o da Pesquisa-ação, que permitiu avaliar as condições da empresa antes do desenvolvimento da ferramenta e da situação posterior.  A utilização da ferramenta possibilitou aos planejadores possam visualizar o status de cada item em estoque, verificar os prazos de entrega de novos materiais e identificar possíveis gargalos no processo produtivo. Como resultado, tais  informações, possibilitam que os responsáveis tomem decisões mais efetivas e precisas para garantir que o fluxo de produção siga de acordo com o previsto.
Metodologia do ciclo de política pública para melhoria do efeito-escola na educação básica pública
Authors: Souza Junior Marco Antonio Alves de , Salgado Junior Alexandre Pereira , Rebehy Perla Calil Pongeluppe Wadhy , Ramos Mozart Neves , Gremaud Amaury Patrick
Published: May 2024

Apesar do incremento nos montantes financeiros, o desempenho educacional tem sido abaixo do esperado. A melhoria na educação depende não só da quantidade de recursos, mas da eficiência de seu uso. Dessa forma, este estudo propõe uma metodologia  do ciclo de política pública que melhore o efeito escola da Educação Básica pública. Para tanto, foram realizados levantamentos bibliográficos em bases de dados acadêmicas bem como uma compilação de conhecimento adquirido pelo GREFIC por meio de Grounded Theory. Essas duas etapas de pesquisa resultado em uma metodologia, dividida em quatro fases do ciclo de política pública: Identificação de Necessidades e Formação de Agenda, Formulação do Programa, Implementação e Avaliação e Monitoramento. Considerando a diversidade de contextos existente no cenário educacional brasileiro, essa metodologia mostra-se capaz de ser aplicada em diversas localidade com o intuito de aumentar o desempenho do efeito escola, adaptando-se a diferentes necessidades.
Grupo de trabalho experimental em saúde única em uma residência multiprofissional: um relato de experiência
Authors: Barbosa Junior Sebastião André , Caniello Nina Toralles , Leite Lis de Souza Ramalho , Lima Elaine Cristina Bomfim de , Souza Patrícia Domingos de Castro Silva , Gomes Josefa Henrique de Macena , Braga Lucineide Alves Vieira , Brasil Arthur Willian de Lima , Clementino Inácio José
Published: May 2024

Médicos veterinários residentes, vinculados ao Programa de Residência Multiprofissional em Saúde da Família e Comunidade, da Secretária Municipal de Saúde de João Pessoa, Paraíba, Brasil, identificaram nos territórios de prática a ocorrência de doenças e agravos, como arboviroses, esporotricose, toxoplasmose gestacional, leishmaniose, esquistossomose, tungíase, larva migrans cutânea, acidentes por mordeduras de cães e gatos, e acidentes por animais peçonhentos. A partir desta situação, no segundo ano da residência, de janeiro de 2022 a fevereiro de 2023, os veterinários residentes, em conjunto com preceptores e tutores, criaram a proposta de um Grupo de Trabalho Experimental em Saúde Única (GT Saúde Única). As atividades do GT Saúde Única foram apoiadas pela coordenação da residência, Direção em Atenção à Saúde e Gerência de Vigilância Epidemiológica da Secretária Municipal de Saúde de João Pessoa-PB. Foram realizados três Encontros Experimentais no ano de 2022: o primeiro sobre leishmaniose; o segundo sobre raiva e acidentes por mordeduras de animais; e o terceiro sobre esporotricose. No mês de dezembro foi realizada uma reunião de avaliação sobre as atividades realizadas, obtendo-se uma avaliação positiva. As atividades desenvolvidas pelo GT Saúde Única se mostraram de extrema importância para o processo de educação permanente em saúde sobre as doenças e agravos da interface ambiente, animal e ser humano. Espera-se que em breve a Saúde Única possa estar inserida na Secretária Municipal de Saúde de João Pessoa-PB, no formato de um grupo de trabalho permanente e de ações transversais em diversos setores.
Comparação das notificações de Dengue nos bairros de Recife-PE: uma análise geotemporal (2013 a 2021)
Authors: Borges Maria Alice de Lira , Candeias Ana Lúcia Bezerra
Published: May 2024

áreas, buscando fornecer informações da relação da doença com as especificidades locais. Este estudo visou espacializar os casos notificados de dengue nos últimos oito anos no município do Recife, estado de Pernambuco. Dividida em 94 bairros, a cidade é palco de inúmeras desigualdades socioambientais e por consequência os efeitos no processo saúde-doenças são afetados nessa relação. Portanto, o artigo utiliza o geoprocessamento e cálculos estatísticos para analisar dados disponíveis no Portal de dados abertos do município (PDAM) oriundos das notificações realizadas pelos serviços de saúde públicos e particulares. Observando a distribuição da doença a nível de bairro é perceptível que o acúmulo de quantidades de casos foi de <100 até 5.516 contaminados acumulados, média 820 casos e desvio padrão de 981, onde locais com menor infraestrutura são os mais afetados. O ano de 2021 atingiu o maior quantitativo de casos notificados, em períodos sem epidemia da doença nos últimos sete anos, alcançando 9.179 contaminados pela doença. Neste mesmo ano, os bairros Ibura, Várzea, Boa Viagem foram os bairros com maior acúmulo de infectados e por bairros que há alguns anos não possuíam grandes quantidades de casos notificados como: Dois Unidos (última vez foi em 2014), Santo amaro (última vez 2017), Vasco da Gama (última vez 2014). Isso fortalece a necessidade de programas de vigilância para uma possível retomada de grandes infestações na cidade.
Technological properties of aromatic Basmati rice accessions
Authors: Bento Juliana Aparecida Correia , Teixeira Olivia Reis , Ribeiro Fernando Araújo , Colombari Filho José Manoel , Carvalho Rosângela Nunes , Bassinello Priscila Zaczuk
Published: May 2024

The objective of this study was to characterize the paste profile of basmati-style aromatic rice accessions. The evaluation of the 56 rice accessions by the Mean of Distances Method yielded seven groups of rice accessions based on the evaluated parameters (elongation, apparent amylose content (AAC), aroma, and paste properties). Group 1 was represented by the control sample IRGA417, a non-aromatic cultivar with the highest AAC (22.5%). The aromatic cultivars Jasmine, Empasc 104, IAC500, and Jasmine85 constituted the third group. Group 4 consisted of 41 Basmati accessions and exhibited the highest average elongation ratio (greater than 2.0). Groups 3 and 4 exhibited comparable aroma scores (2.9 and 2.8, respectively) and retrogradation processes (final viscosity: 285.37 and 291.26 RVU, and setback: 136.84 and 166.01 RVU, respectively). Group 5 was constituted with seven Basmati accessions, while groups 6 and 7 were formed with one and two Basmati accessions, respectively. Groups 5 and 6 exhibited comparable paste properties, with peak viscosities of 186.06 and 153.1 RVU, respectively, and final viscosities of 210.27 and 236.7 RVU, respectively, which were lower than those observed in the other groups. In contrast, group 7 exhibited intermediate parameters between the control IRGA417 and groups 3 and 4. Groups 3, 4, 5, 6, and 7 were classified as low amylose grains, with an AAC of 12-20%. The Basmati accession (group 4) exhibited a comparable paste profile, with a notable distinction in its high elongation, aroma, and low AAC. Consequently, these cultivars may be well accepted by consumers of aromatic rice.