bluuebunny/crossref_metadata_2025 huggingface dataset:
Mindfulness and Emotional Intelligence: A Study on Millennials on Hospitality
Authors:   Chandigarh University India, Mishra Anurag
Published: May 2024

In software development, dependability and quality are critical. A Bug Tracking System (BTS) designed specifically for large-scale software projects is introduced in this significant project with the goal of streamlining bug tracking, reporting, detection, and resolution. The system provides secure authentication, a backend database that is reliable, and an easy-to-use web interface. Using cutting-edge web technologies, it offers critical features including automated notifications, progress tracking, severity assignment, and thorough bug reporting together with user-friendly interfaces for a range of user roles. Tools for data visualization help identify defect patterns and monitor projects. The project follows best practices recommended by the industry for requirements analysis, design, implementation, testing, and deployment, and it solicits ongoing input. The result is a thorough BTS that addresses defect management difficulties. Thorough testing and assessment in comparison to standards confirms its efficacy. This approach could have a big impact on software development, improving user satisfaction and quality. Furthermore, issues with bug tracking are covered, including distributed team communication, scalability, and automation balancing. Proposals for strategies to address these issues are grounded in scholarly research and professional opinions. This summary highlights the critical role that bug tracking systems play in contemporary software development, making it an invaluable tool for researchers, practitioners, and teams looking to improve bug tracking procedures and raise the caliber and effectiveness of the software development lifecycle. Keywords— Bug Tracking System, Software Development, Defect Management, Quality Assurance, Automation, Collaboration, Large-scale Projects.
SMART SHOPPING CART USING ESP
Authors:   1Assistant Professor, Department of Electronics And Telecommunication Engineering , Sir Visvesvaraya Institute of  Technology, Nashik, Maharashtra, India, SB Mr. Lavhat
Published: May 2024

The Smart Shopping Cart is an innovative project that leverages the capabilities of the ESP32 microcontroller, along with various sensors and displays, to create a convenient and intelligent shopping experience. The system is designed to streamline the process of in-store shopping by automatically tracking and managing products as they are placed in the cart. ESP32-CAM: The heart of the system, responsible for controlling other components and performing QR code scanning. Ultrasonic Sensor: Used for object detection, triggering the camera to scan QR codes on products when they are placed in the cart. Buzzer: Provides audible feedback to indicate successful QR code scans and other system events. 128x64 OLED Display: Displays product information, scan status, and other relevant data to the shopper. Initialization: Upon starting, the ESP32-CAM connects to Wi-Fi and initializes the ultrasonic sensor, buzzer, and OLED display. Object Detection: The ultrasonic sensor continuously measures the distance between the sensor and objects. When a product is placed in the cart, the sensor triggers the camera. QR Code Scanning: The ESP32-CAM camera scans the QR code on the product, extracting its information such as name, price, and other details. Feedback: Upon successful QR code scanning, the buzzer provides an audible confirmation, and the OLED display shows product information and total cost. Key Words: Buzzer,ESP-32CAM, Ultrasonic Sensor, 128*64 OLED Display
SECUREMEDS: BLOCKCHAIN PROTECTION FOR DRUG CHANNELS
Authors:   Department of Information Science and Engineering Atria Institute of Technology Bangalore, Karnataka, India, SYED RAEHA
Published: May 2024

The World Health Organisation (WHO) highlights the global threat of medicine counterfeiting, particularly in low- and middle-income countries where 10% of drugs may be counterfeit or of inferior quality, hence creating serious health hazards to the general public. Because there are shortages of necessary medications during illness outbreaks, this problem gets worse. Fighting this issue requires increased public awareness campaigns, improved pharmaceutical accessibility, and international cooperation Our goal is to create a strong framework for monitoring pharmaceuticals at every stage of the supply chain—manufacturers, distributors, retailers, and government agencies such as the FDA. A tamper-proof and easily traceable supply chain can be ensured by implementing blockchain technology and using transparent contractual arrangements. Furthermore, cutting-edge techniques like smart contracts made possible by Ganache and Ethereum improve supply chain integrity. Verification codes are sent via email to strengthen authentication processes and provide an additional degree of protection. Moreover, batch number hashing is secured by SHA encryption, guaranteeing complete protection during the distribution process. Global pharmaceutical safety and efficacy are guaranteed by this all-encompassing strategy.. . Keywords— Pharmaceutical Supply Chain Counterfeit Medications Blockchain Technology FDA (Food and Drug Administration).
HOME AUTOMATION SYSTEM
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga, Nelli Manohar
Published: May 2024

The project presents the development of an advanced home automation system aimed at revolutionizing residential living through smart technologies. Leveraging Internet of Things (IoT) principles, the system integrates various sensors, actuators, and communication protocols to enable remote monitoring and control of home appliances and devices. Through a user-friendly interface accessible via mobile or web platforms, homeowners can effortlessly manage their home environment, ensuring convenience, security, and energy efficiency. The project emphasizes scalability and interoperability, paving the way for future expansion and integration with emerging smart technologies. Key Words: Home Automation System, Internet of Things (IOT), Sensors, Actuators, Remote Monitoring
PHISHING DETECTION SYSTEM USING MACHINE LEARNING
Authors:   Department of Information Science and Engineering  Don Bosco Institute of Technology, Bengaluru, India Pin – 560074, R Dr.  Sivakumar,
Published: May 2024

This study focuses primarily on phishing attacks, a prevalent form of cybercrime conducted over the internet. Despite originating in 1996, phishing has evolved into one of the most severe threats online. It relies on email deception, often coupled with fraudulent websites, to trick individuals into divulging sensitive information. While various studies have explored preventive measures and detection techniques, there remains a lack of a comprehensive solution. Hence, leveraging machine learning is crucial in combating such cybercrimes effectively. The study utilizes a phishing URL-based dataset sourced from a renowned repository, comprising attributes of both phishing and legitimate URLs collected from over 11,000 websites. Following data preprocessing, several machine learning algorithms are employed to thwart phishing URLs and safeguard users. These algorithms include decision trees (DT), linear regression (LR), random forest (RF), naive Bayes (NB), gradient boosting classifier (GBM), K-neighbors classifier (KNN), support vector classifier (SVC), and a novel hybrid model, LSD, which integrates logistic regression, support vector machine, and decision tree (LR+SVC+DT) with soft and hard voting mechanisms. Additionally, the canopy feature selection technique, cross-fold validation, and Grid Search Hyperparameter Optimization are employed with the proposed LSD model. To assess the effectiveness of the proposed approach, various evaluation metrics such as precision, accuracy, recall, F1-score, and specificity are employed.
Active Chat Monitoring and Suspicious Chat Detection Over Internet
Authors:   Department of Computer Science and Engineering Chandigarh University Mohali, Punjab, Sharma Ritesh Manoj
Published: May 2024

In the digital age, the proliferation of online communication platforms has facilitated unprecedented levels of connectivity and interaction. However, this interconnectedness has also introduced new challenges, particularly in ensuring the safety and security of users in online environments. One critical area of concern is the monitoring and detection of suspicious activities within chat platforms, where malicious actors may engage in harmful behaviors such as cyberbullying, harassment, or illicit activities. This research paper focuses on the development and implementation of active chat monitoring techniques for the detection of suspicious behavior over the internet. By leveraging advancements in natural language processing (NLP), machine learning, and data analytics, this study aims to explore effective methodologies for real-time monitoring and analysis of chat conversations to identify potentially harmful content. The paper will delve into various approaches for detecting suspicious patterns, including keyword analysis, sentiment analysis, and anomaly detection algorithms. Additionally, considerations for privacy, ethics, and legal implications surrounding chat monitoring will be discussed. Ultimately, this research endeavors to contribute to the enhancement of online safety measures by providing insights into the design and implementation of proactive monitoring systems capable of identifying and mitigating risks in virtual communication spaces. Keywords— Active Chat Monitoring, cybersecurity, user experience, digital era, security, user-controlled, effectiveness, evolving threat, Chat content analysis, Threat intelligence.
PET COMPANION HUB
Authors:   Department Of Computer Science Engineering  Maharana Pratap Engineering College, Gupta Suyash
Published: May 2024

Pet Companion Hub is a multifaceted platform designed to enhance pet care and animal welfare through its three interconnected modules: Pet Adoption, Pet Veterinary, and Pet Shelter. The Pet Adoption module provides a user-friendly interface for individuals to browse and adopt animals in need of homes, promoting responsible pet ownership and reducing shelter overpopulation. Users can access detailed profiles of animals, facilitating informed decision-making and personalized matches. The Pet Veterinary module offers comprehensive veterinary services, including appointment scheduling, medical record management, and expert advice, ensuring pets receive the care they need to thrive. This module empowers pet owners to make informed healthcare decisions and promotes proactive health management. The Pet Shelter module serves as a valuable resource for shelters and rescue organizations, streamlining operations, facilitating communication, and maximizing impact within the community. By providing support to shelters and promoting collaboration, Pet Companion Hub strengthens the infrastructure for caring for and rehoming animals in need. Together, these modules create a holistic approach to pet care and advocacy, fostering a culture of compassion, responsibility, and community engagement in the realm of animal welfare
Sustainable Tourism Infrastructure Development
Authors:   Student of Master of urban and regional planning, faculty of architecture and planning, Lucknow, Pachaury Ar. Amit
Published: May 2024

This study looks at the development of sustainable tourist infrastructure, focusing only on physical factors. In terms of resource efficiency and environmental sustainability, planning, design, and management techniques are assessed through a review of the literature and case studies. In order to pinpoint problems and offer viable solutions, the research carefully examines how much energy, water, garbage, and transportation systems are used. The report promotes minimising environmental effect and optimising resource conservation in tourism infrastructure projects by highlighting eco-friendly technology and design ideas. Innovative strategies, such as the use of sustainable construction materials, integrated renewable energy, water-saving techniques, and effective transportation systems, are demonstrated in successful case studies. The research prioritises physical factors to ensure lowest ecological impact and long-term environmental resilience, advocating for sustainable tourist infrastructure by integrating theoretical and practical insights. The findings contribute to advancing sustainable development goals within the tourism sector, offering actionable recommendations for policymakers, planners, and developers to create destinations in harmony with natural surroundings. Keywords— Sustainable tourism, Tourism infrastructure, Physical parameters, Water usage, Waste management, Transportation systems
Signal-based fault location method using time and frequency domain
Authors:   Student, M.E. Electrical Engineering (Power System), Zeal College of Engineering, Pune, Maharashtra, India., Ghodake Parag A
Published: May 2024

This research introduces an innovative approach to fault detection in high-voltage alternating current (HVAC) systems by integrating temporal and frequency domain characteristics of signals. It utilizes Traveling Wave (TW) detection and analysis, focusing on a precise window of just 100 microseconds surrounding the TW's arrival at the measurement point. Mathematical Morphology is applied to identify time-domain properties, while the Stationary Wavelet Transform is employed to extract frequency-domain features. Additionally, the integration of a Dynamic Mode Decomposition-based technique enhances TW detection accuracy. The efficacy of this approach is extensively assessed for fault site classification and regression tasks, demonstrating superior performance compared to utilizing time or frequency-domain features separately. The study also examines the method's resilience to noisy measurements and the sufficiency of training data. Comparative analysis against existing signal-based approaches within the IEEE 34 node system underscores its heightened accuracy. Furthermore, the proposed technique showcases minimal fault location estimate errors along the feeder length and competes favorably with slower phasor-based fault detection methods in performance. Regarding the distance of the fault, its proximity to the generator, transmission line, or load significantly influences the parameters of positive, negative, and zero sequence components. When a fault occurs, these parameters undergo distinct changes, serving as indicators of the fault's severity and location. If the fault occurs near the generator or substation, there may be alterations in the voltage and current magnitudes, affecting the sequence components accordingly. In the case of a fault in the transmission line, impedance changes can lead to variations in sequence parameters. Similarly, a fault near the load can cause disturbances in the voltage and current profiles, impacting the sequence components. Analyzing these changes in positive, negative, and zero sequence parameters during a fault provides valuable insights into the fault's severity and location, aiding in effective fault detection and mitigation strategies. Key Words – fault detection, high-voltage alternating current (HVAC) systems, Traveling Wave (TW), temporal domain, frequency domain, Mathematical Morphology, Stationary Wavelet Transform, Dynamic Mode Decomposition, fault site classification,
IOT Based Anti - Theft Flooring System Using NodeMCU (ESP8266)
Authors:   Department of CSE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, R Arunapriya.
Published: May 2024

Traditional anti-theft security systems often rely on easily circumvented methods such as motion sensors or wall-mounted devices, leaving vulnerabilities that can be exploited by savvy thieves. To address these limitations, we propose an innovative IoT-based anti-theft flooring system utilizing Node MCU technology. This system offers comprehensive monitoring of designated areas, detecting any movement within its coverage zone. Each secure flooring tile within the system is seamlessly integrated with IoT capabilities. Upon activation, the system begins monitoring the area, transmitting data over the internet to alert users of any intrusions. When an unauthorized individual steps onto the floor, sensors promptly detect the movement and relay the information to the central controller. The controller verifies the signal's validity and triggers the camera to capture images of the detected movement area. These images are then transmitted over the internet, allowing the owner to remotely assess the situation in real-time. By leveraging IoT technology, our anti-theft flooring system offers enhanced security measures, providing peace of mind for property owners. Keywords: IoT (Internet of Things), Anti-theft system, Flooring security, NodeMCU (ESP8266) ,IoT security , Real time monitoring.
USE OF PLASTIC WASTE IN FLEXIBLE PAVEMENTS
Authors:   Sanketika Vidya Parishad Engineering College(SVPEC), Madhuri¹, Dr. Mulpuru
Published: May 2024

Disposal of waste materials including waste plastic bags has become a serious problem and waste plastics are burnt for apparent disposal which cause environmental pollution. Utilisation of waste plastic bags in bituminous mixes has proved that these enhance the properties of mix in addition to solving disposal problems. Plastic waste which is cleaned is cut into a size such that it passes through 2-3 mm sieve using a shredding machine. The aggregate mix is heated and the plastic is effectively coated over the aggregate. This plastic waste coated aggregate is mixed with hot bitumen and the resulting mix is used for road construction. The use of the innovative technology will not only strengthen the road construction but also increase the road life as well as will help to improve the environment. Plastic roads would be a boon for India’s hot and extremely humid climate, where temperatures frequently cross 50°C and torrential rains create havoc, leaving most of the roads with big potholes. In my research work I have done a thorough study on the methodology of using plastic waste in bituminous mixes and presented the various tests performed on aggregates and bitumen. KEYWORDS: Plastic Waste, Bitumen, Aggregates, Plastic Roads
Heartbeat Counter with Surrounding Temperature and Humidity.
Authors:   E&TC Department, GSMCOE, Ranit, Prof. Snehal
Published: May 2024

Heartbeat Sensor is an electronic device that is used to measure the heart rate i.e. speed of the heartbeat. Monitoring body temperature, heart rate and blood pressure are the basic things that we do in order to keep us healthy. In order to measure the body temperature, we use thermometers and a sphygmomanometer to monitor the Arterial Pressure or Blood Pressure. Heart Rate can be monitored in two ways: one way is to manually check the pulse either at wrists or neck and the other way is to use a Heartbeat Sensor. In this project, we have designed a Heart Rate Monitor System using Arduino and Heartbeat Sensor. You can find the Principle of Heartbeat Sensor, working of the Heartbeat Sensor and Arduino based Heart Rate Monitoring System using a practical heartbeat Sensor.
REGENERATIVE SHOCK ABSORBERS
Authors:   Students, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra 400701., Patil Himanshu
Published: May 2024

Electric vehicles (EVs) have gained popularity as a solution to the fossil fuel crisis and carbon emissions. However, limited range due to battery constraints has been a major obstacle to widespread adoption. Battery management strategies, fast charging, and strategic charging station placement are some of the solutions being explored to address this issue. Another solution is to harness energy from the shock absorbers, which are responsible for filtering vehicle vibrations on rough roads. Research has been conducted since the 1980s on harnessing energy from shock absorbers, and REGENERATIVE SHOCK ABSORBERS have been proposed as a way to harvest the kinetic energy dissipated by suspension vibrations. Studies have shown that REGENERATIVE SHOCK ABSORBERS can produce up to 400W of power at 100 km/h, and can improve the energy harvesting and ride comfort of regenerative vehicle suspensions. Some studies have used electromagnetic methods to generate electric power, while others have used hydraulic methods. The use of regenerative shock absorbers in EVs is a promising solution that has the potential to significantly extend the range of these vehicles. KEYWORDS: Regenerative shock absorber; vehicle suspension; vehicle kinetic energy recovery.
Age-Invariant Face Recognition Using FaceNet and Multi-task Cascaded Convolutional Networks (MTCNN)
Authors:   Dept. of ISE, East West Institute Of Technology, Bengaluru, T V Mrs. Shruthi
Published: May 2024

In an era where face recognition technology serves as a cornerstone for security, surveillance, and human-computer interaction, the persistence of age-related variations in facial appearance presents a significant challenge. This research introduces an innovative solution that amalgamates the capabilities of the FaceNet deep learning model with Multi-task Cascaded Convolutional Networks (MTCNN) to achieve precise and robust face recognition across diverse age groups. Leveraging FaceNet's prowess in extracting distinctive features from facial images and mapping them to a high-dimensional feature space for efficient face matching, our system incorporates MTCNN as a pre-processing step to accurately detect and align faces, effectively mitigating age-related changes in facial geometry. Crucially, this novel approach obviates the need for age-specific databases and age group categorization, rendering it a versatile and practical solution for age-invariant face recognition. Rigorous experimentation on benchmark datasets underscores the system's resilience and accuracy across a broad spectrum of age groups, culminating in state-of-the-art results in age-invariant face recognition. The implications of this proposed approach are profound, promising to fortify security measures and enhance user experiences in applications such as access control, personal identification, and customer service, while ensuring dependable and accurate face recognition, irrespective of an individual's age. Key Words: Face recognition, face aging, generative adversarial networks
RFID BASED BUS TICKETING SYSTEM
Authors:   Department of CSE, Assistant Professor, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, K Ramya.
Published: May 2024

The main objective of this paper is to generate passenger tickets using RFID technology for the fare of a particular destination. The appropriate amount is deducted from the RFID card. In addition to that, in proposal system RFID has proven to be one of the most promising technologies in recent years and can be effectively employed in various applications since it is economical and widely used tool for tracking and locating purposes.Radio-frequency identification (RFID) is a technology that uses electromagnetic fields to automatically identify and track tags attached to objects .A small radio transponder, a radio receiver, and a radio transmitter make up an RFID system The RFID application, on the other hand, has become a popular tool for both tracking transit vehicles and the public ticketing system describes a design of IoT enabled real time bus tracking system There is an mobile app to recharge the RFID card.The message of money transaction is send to the users registered mobile number.The main aim of this project is to reduce the fraud in ticket transaction.The bus door will open only after scanning the RFID card.In this project we use IR sensor to detect the passengers entry and exit from the bus.When the passenger scan the RFID card then the LCD display shows the passengers information like their name,RFID card number,account balance.The ticket price is based on the distance travelled in the bus.This system also used to prevent the unfair ticket price for transportation.If the RFID card is missing then the passenger can able to block the RFID card to prevent unauthorized access.Public transportation is a significant role for methods among individuals. Key words—Radio Frequency Identification System (RFID), Infrared sensor (IR sensor).
DATA SECURITY IN COMMUNICATION USING BLOCKCHAIN AND KEY BASED PROTOCOL
Authors:   Dhanalakshmi Srinivasan Engineering college, Perambalur, B Mrs. . DEEPIKA
Published: May 2024

Satellite communications play an important role in the development of global communications networks. Recently, satellite networking has been receiving a lot of attention as a solution to alleviate the limitations of terrestrial networks due to low stability and coverage. It has many disadvantages, including low processing power, storage space, and limited data security. Illegal access has become a problem. Data processing power is minimal, storage space and data security are limited due to regional power availability and physical satellite limitations, and data can be modified or accessed by malicious users. As the importance of satellite communication increases in the development of global communication networks, concerns about the security of satellite communication are also growing. This project proposes a satellite communication network using blockchain technology and QKD protocol based on authentication and personal information protection. To achieve this goal, an architecture was built consisting of traditional and constrained devices connected to the blockchain over a wireless heterogeneous network. Communication uses registration, authentication, and cancellation. The satellite transmits the received data to a base station on the ground, which stores all key parameters in the decentralized blockchain and removes all invalid node certificates from the blockchain. The proposed blockchain and QKD satellite system provides a high level of security for future 6Gandbeyond networks, Internet of Things, autonomous vehicles and other rapidly developing applications.
Exploring Consumer Behavior and Attitudes towards E-Bikes in Sangli City
Authors:   Department of Information Technology, Willingdon College, Sangli, Maharashtra, India, S Suryawanshi Shivali
Published: May 2024

The objective of this research is to explore the diverse influences on consumer attitudes toward E-Bikes. By grasping these influences, businesses can refine their marketing tactics to resonate with consumers, thereby boosting adoption rates. Additionally, policymakers can leverage these insights to develop infrastructure and awareness initiatives that tackle consumer apprehensions and advocate for E-Bikes as an eco-friendly and economical transportation alternative. Further, understanding how consumers perceive and feel about E-Bikes allows manufacturers and retailers to customize their marketing strategies, resonating more effectively with their intended audience. Key Words: E-bike, Charging stations, Electric Vehicles, Mileage
Enhancing Fashion Recommendations with Facial Recognition: A Gender and Age Prediction Perspective
Authors:   Thakur College of Engineering and Technology  Mumbai, India, Mandge, Mitali
Published: May 2024

This research paper presents a real-time system for age and gender estimation integrated into a fashion recommendation context. Leveraging deep learning models for facial detection and classification, alongside a Random Forest-based recommender system for fashion items, the system provides personalized recommendations based on user age, gender, and preferences. The methodology involves detecting faces in video streams, extracting facial regions, and preprocessing them for age and gender estimation using pre-trained CNN models. Fashion recommendations are then generated by assigning weighted scores to items based on various attributes and training a Random Forest regressor. Implementation details, including the use of Python, OpenCV, and machine learning libraries, are discussed. Evaluation metrics for age and gender detection models, as well as recommendation system performance, are outlined. The paper concludes with future directions and challenges, emphasizing enhancements in age and gender estimation accuracy, integration with e-commerce platforms, and the importance of data privacy and computational resources. Keywords — Age and gender estimation, Facial detection, Deep learning, Fashion recommendation, Random Forest.
SPAM EMAIL CLASSIFIER
Authors:   Acropolis Institute Of Technology And Research Indore, India, Sisodiya Harshvardhan
Published: May 2024

Today, a sizable portion of people rely on freely accessible email or communications provided by strangers. Because anyone may send an email or leave a note, spammers have an excellent opportunity to write spam messages regarding our various interests. Spam overflows email inboxes with absurd emails. severely reduces the speed of our internet. stealing vital information, such as our contact information, from us. Finding these spammers and the spam content can be difficult work and a popular research area. Spam email is the act of sending many messages via postal mail. Spam is effectively postage due advertising because the recipient bears the majority of the cost. Keywords—Machine Learning(ML), Dataset, Parkinson’s Disease, Artificial Intelligence(AI), Support Vector Machine(SVM).
A Study on the Customer Satisfaction towards Online Shopping in Gwalior Locality
Authors:   SAGE University, Indore, Jain, Dr. Rajesh
Published: May 2024

Online shopping can be defined as the process customers go through to purchase products or services over the internet. Satisfaction plays a major role in online business because it helps to build customer trust, enhances favourable word of-mouth reports, leads to repeat purchases, predicts purchase behaviour and predicts the internet retailer’s endurance and success. The present study is an attempt to find out the customer satisfaction towards online shopping. From the study it is clear that the respondents are satisfied with online shopping services and the most used mode of payment is net banking. The study suggested that the Government should establish consumer protection mechanism to monitor online purchasing, which could enhance the confidence of public in online shopping system. Keywords: customer, customer satisfaction, online shopping
MODELING AND 3D PRINTING OF TWO WHEELER CRASH GUARDS
Authors:   Assistant Professor, Department of Mechanical Engineering, GNITC, Hyderabad, Telangana., Kumar P. Satish
Published: May 2024

The crash guard is a protective device installed on vehicles to minimize damage in case of accidents. It helps to protect the front or rear of the vehicle from collisions.3D printing is designing crash guards for two-wheelers, aiming to enhance safety and customization. By employing solid works software and simulations, complex geometries are optimized for impact resistance. Advanced materials with high strength-to-weight ratios are selected to ensure performance and lightweight characteristics. This delves into novel materials and ergonomic considerations for rider comfort. The optimizing crash guard structures for impact resistance but also on ensuring economic feasibility and scalability for mass production. It explores the potential for widespread adoption within the automotive industry. Additionally, it emphasizes the importance of comprehensive real-world crash simulations to validate the effectiveness of the proposed approach. By considering a holistic approach that blends advanced numerical analyses, sophisticated 3D printing methodologies, and user experience factors, the research aims to pave the way for a new era in two-wheeler crash guard design and manufacturing. Keywords: Solidworks, Ansys, Flash Forge Pro
ADVANCED HYBRID SOLAR THERMOELECTRIC GENERATOR THEORETICAL ANALYSES
Authors: singh Udham
Published: May 2024

Due to the fact that much of the world’s best solar resources are inversely correlated with population centers, significant motivation exists for developing the technology, which can deliver reliable and autonomous conversion of sunlight into electricity. Thermoelectric generators (TEG) are gaining incremental ground in this area due to its extensive use in solar thermal application as power generators, known as solar thermoelectric generators (STEG). STEG systems are gaining significant interest in both, concentrated and non-concentrated systems and have been employed in hybrid configurations with the solar thermal and photovoltaic systems. In this dissertation, mainly studies of Hybrid Solar Thermoelectric Generators (HSTEG) configuration are presented. HSTEG systems are much less studied both experimentally and theoretically, despite their clear technoeconomic advantages. There is a scope for significant improvement in the performance (efficiency) and a need for detailed performance analysis to understand the fundamentals of the energy transfer process. HSTEG systems (conventional) reported till date, initially the solar energy is utilized by the TEG for generating electricity and then transferred to other low temperature thermal cycles (heating or cooling). As an alternative one can design an advanced HSTEG system, in such way to first utilize the solar energy in the heat transfer fluid (HTF), which can run high temperature thermal cycle for heating or cooling or power generation) and then generate electricity by using TEG. Further, there is no advanced HSTEG system is available in the literature, which could deliver high temperature heat output from the hot side of the HSTEG system. Key Words: optics, photonics, light, lasers, stencils, journals
The Role of Citicoline in Post-Brain Surgery Children
Authors: Purnamasari Lina
Published: May 2024

Citicoline is a drug that has many benefits as a neuroprotector. Many studies in adults show the clinical benefits of citicoline in various neurological disorders such as dementia, head trauma, stroke, Parkinson, etc. However, the effectiveness of citicoline in children has not been widely studied.
Lethal Complication in a Very Preterm Infant with Congenital Syphilis
Authors: Gozali Ferry Suganda , Liman Claudia Natasha , Suryaningsih Putu Siska
Published: May 2024

Introduction: Congenital syphilis is a multi-organ infection caused by Treponema pallidum and transmitted from mother to fetus through uteroplacental circulation. Congenital syphilis is one of the main contributors to neonatal deaths in the United States. Case: A male infant was born by cesarean delivery from a G1P0 mother at 28 weeks of gestational age because of premature rupture of the membrane and anhydramnion. The mother had an untreated latent syphilis infection. The birthweight was 1,400 grams, the head circumference was 25 cm, and the body length was 35 cm. His APGAR score was 3-3-5 with severe asphyxia and respiratory distress syndrome. Multiple abnormalities were found, and the VDRL titre was 1/128. Cardiac-pulmonary resuscitation started immediately with 0.15 mg epinephrine through an intraendotracheal tube and continued with 0.02 mg epinephrine through intravenous access every 3 minutes. The baby was declared dead after 30 minutes of resuscitation. Conclusion: Congenital syphilis can cause lethal complications due to untreated latent syphilis suffered by his mother. The mother should undergo antenatal screening to prevent congenital syphilis.
Otalgia as a Predictor of Cholesteatoma Formation in Chronic Suppurative Otitis Media
Authors: Cathleen Fabiola
Published: May 2024

With its locally invasive nature, cholesteatoma has the potential to cause fatal complications. However, many remain undetected until advanced stages. Otalgia is suggested as the indicator of impending intratemporal or intracranial complication and is commonly presented before episodes of characteristic foul-smelling purulent discharge. As an earlier diagnosis of this condition is needed, this study aims to find whether the presence of otalgia has a prognostic value of cholesteatoma formation in adult patients with chronic suppurative otitis media. Literature searching using Pubmed, Cochrane, and ScienceDirect was done from the 12th to 16th of March 2022. Two articles were selected and appraised using the Center of Evidence-Based Medicine Oxford tool for prognostic study. Both studies retrospectively found no statistically significant patient characteristics or clinical presentation findings including otalgia that might guide the distinction between chronic suppurative otitis media on first hospital admission with and without cholesteatoma. Even though all studies have good validity, applicability, and precise prognostic estimates owing to their narrow 95%CI, considerable discrepancies between the two studies exist, therefore clinical interpretation remains questionable. Otalgia does not have a significant prognostic role in cholesteatoma formation in patients with chronic suppurative otitis media.
The Role of Topical Sucralfate in Reducing Post-Hemorrhoidectomy Pain
Authors: Nathania Jessica , Sutanto Jaya Shania , Yauwono Anthony
Published: May 2024

Hemorrhoids are one of the most common perianal cases and may cause lower gastrointestinal bleeding. Most cases can be treated with medications and/or simple procedures. Surgical intervention is required in advanced stages or complicated cases. However, this procedure is often associated with postoperative pain. Topical sucralfate is known to reduce postoperative pain.
Studi Bioassay Fly Ash Batubara Terhadap Dapnia magna
Authors: Ramadan Viki , M. Kanedi  , Priyambodo  , Tugiyono
Published: May 2024

Fly ash merupakan salah satu limbah pembakaran batubara. Fly ash mempunyai kandungan bahan anorganik yang memiliki unsur dan logam berat.  Fly ash dapat dimanfaatkan untuk bahan adsorben, tambahan pada industri semen dan pembenah lahan (soil conditioner). Namun kandungan logam berat pada fly ash tidak mampu diurai oleh lingkungan dan berpotensi terakumulasi pada organisme. Metode bioassay adalah metode yang digunakan untuk mengetahui pengaruh suatu bahan terhadap organisme. Metode ini memaparkan suatu bahan secara langsung terhadap organisme uji. Dapnia magna merupakan salah satu organisme yang digunakan sebagai organisme standar dalam uji bioassay. Penelitian ini bertujuan untuk mengetahui nilai LC50 96 jam pemaparan fly ash terhadap hewan uji. Konsentrasi yang digunakan pada uji sesungguhnya berupa 14.000, 21.000, 30.000, 45.000, 65.000, 94.000, 137.000, dan 199.000 ppm. Hasil penelitian menunjukan nilai LC50 96 jam berada pada estimasi kosentrasi 50.251 ppm.  Berdasarkan kriteria toksisitas, nilai LC yang didapatkan masuk ke dalam kategori almost non toxic.
Pola Distribusi Mikroba dan Pengaruhnya Terhadap Pembenihan Larva Udang Vanamei Di Hatchery Pantai Ketang Lampung
Authors: Sarwoko Jonathan Puji , Sumardi  , Tugiyono  , Nugroho Susanto Gregorius , Irawan Bambang
Published: May 2024

Pola distibusi mikroba atau penyebaran mikroba dalam suatu area perairan. Penelitian bertujuan untuk menganalisis kepadatan total Vibrio sp., coliform, dan plankton dari air laut, serta hubungan mikroba terhadap pembenihan larva udang vanamei. Penelitian dilakukan bulan April sampai Agustus 2022 berlokasi di Pantai Ketang, Kalianda, Lampung, laboratorium Mikrobiologi dan Zoologi FMIPA Universitas Lampung. Penelitian dilakukan dengan metode survei eksploratif. Tahap penelitian meliputi perhitungan total Vibrio, coliform, plankton, dan tingkat kelangsungan hidup. Analisis dilakukan analysis of variance, jika terdapat perbedaan nyata dilanjutkan uji Duncan (? = 0,05), sedangkan hubungan mikroba dianalisis dengan korelasi Pearson (? = 0,05). Hasil penelitian diketahui kepadatan Vibrio tertinggi pada bulan Mei (3 CFU/ml) dan air pemeliharaan larva (M) (5 CFU/ml), kepadatan coliform sebanyak < 3 MPN/100ml, kepadatan plankton tertinggi terjadi pada bulan Agustus (2×102 ind/L) dan air laut pasang (P) (1×104 ind/L). Terdapat hubungan yang sangat rendah antara kepadatan mikroba terhadap tingkat kelangsungan hidup larva udang vanamei.
Success of university students in preparing hots questions using assignment-based direct instruction
Authors: Sahlan Moh , Pabbajah Mustaqim , Muis Abd , St Mislikhah
Published: May 2024

The purpose of this study is to explore the effectiveness of assignment-based direct instruction in preparing university students to develop questions that test learners' thinking skills. One of the greatest challenges facing universities is preparing potential teachers with the ability to develop questions that test students' higher-order thinking skills (HOTS). Using a quantitative descriptive approach, this study analyses the work of 40 university students who were asked to prepare 20 items, as well as question grids and cards for each item, after having undergone assignment-based direct instruction. Analysis shows that: (1) students exhibited a good command of materials (87%), (2) students exhibited a good command of question structure (88%), and (3) students exhibited a good command of Indonesian-language grammar (88%). This study challenges the assumption that teacher-based learning is ineffective, providing evidence that should be considered when evaluating the learning process and its current emphasis on student-centered learning models that sideline teachers. Direct learning based on giving assignments can increase student success in compiling HOTS questions and be a solution to the learning process, which has so far focused a lot on the student-centered learning model, so that the teacher's position is neglected. It suggests that effective pedagogy should not only consider students as active learners but also recognize teachers as creative and pro-active educators. The implications of this study highlight the need for active collaboration between teachers and students in the learning process in higher education.
Unveiling the mediating role of self-esteem in the relationship between physical activity and BMI: A structural equation modeling study in adolescents
Authors: Wang Xuefei , Zhou Liang
Published: May 2024

The purpose of this study was to examine the mediating effect of self-esteem on the relationship between physical activity and Body Mass Index (BMI) in adolescents. Two hundred and sixty-nine adolescents completed the Self-Esteem Scale, the International Physical Activity Questionnaire (IPAQ), and BMI measurements. The Zhengzhou Education Authority facilitated data collection. We used Partial Least Squares (PLS) software for data analysis to evaluate the mediating effect of self-esteem. The results found that physical activity significantly improved self-esteem (β = 0.520, t = 12.881, p <.05) and negatively affected BMI (β = -0.404, t = 7.658, p <.05). The analyses of the Structural Equation Model (SEM) showed that self-esteem demonstrated a significant negative effect on BMI (β=-0.181, t=2.965, p<.05) and mediated the relationship between physical activity and BMI, accounting for 20.6% of the total effect. Thus, elevating adolescents' self-esteem may lead to a direct and indirect reduction in BMI by promoting a heightened inclination towards physical activities. This research indicates that strategies to enhance adolescent health should broaden their focus beyond merely increasing physical activity and include efforts to boost self-esteem. It provides fresh perspectives on the intricacies of adolescent physical health, emphasizing the intricate relationships among physical activity, self-esteem, and BMI.
Beyond transactions: Understanding the determinants of e-satisfaction in online shopping
Authors: Utama Iston Dwija , Sudirman Ivan Diryana , Kurnianingrum Dian
Published: May 2024

This study aims to investigate the factors influencing e-commerce satisfaction, focusing on application design, merchandise attributes, transaction capabilities, and security and privacy. Internet penetration has massively changed the behavior of the customer, especially their buying behavior, from traditional to online through various channels such as e-commerce. The key finding from the quantitative approach with purposive sampling is the highly positive relationship between application design and e-satisfaction. The findings of the study demonstrate a moderate association between merchandise attributes and e-satisfaction, emphasizing the significance of product variety and presentation. Furthermore, the study has recognized other significant variables that lead to e-satisfaction, such as fast transaction capabilities and adequate security and privacy protections. The findings provide theoretical insights as well as practical guidelines, implying that e-commerce platforms may improve their customer satisfaction by prioritizing user-friendly, ease-of-use, and appealing application designs, broad product offers, streamlined transaction processes, and robust security and privacy. This study also provides future research recommendations and limitations.
Effectiveness of GeoGebra on Botswana TVET students’ performance on linear equations
Authors: Sekgoma Amantle Mico
Published: May 2024

The purpose of this study was to investigate the comparative effects of using GeoGebra software and traditional teaching approaches on the performance of TVET students in linear equations. The study followed a quasi-experimental design with a non-equivalent group consisting of pre- and post-test measures. The population of the study consisted of TVET learners from 14 Brigades in the southern region of Botswana. Using the convenience sampling technique, two TVET institutions (n=41) participated in the study. One institution formed the experimental group, whereas the other formed the control group. The study did not employ random participant selection, as the control group and the experimental group comprised pre-existing, intact classes from the participating institutions. GeoGebra software was used in the experimental group, while the control group was taught using the traditional approach with no technology incorporation. Similar pre- and post-tests were administered to both groups to measure the comparative effects of each teaching method on the performance of learners. A constructivist theory framed the study. A t-test was used to analyze the data with α = 0.05, and the findings showed a significant difference in the mean scores between the control group and the experimental group (t = 2.188, p = 0.008 < α) in the post-test. These results indicated that students in the experimental group outperformed those in the control group. Overall, the results of this study showed that GeoGebra enhanced student performance in linear equations as compared to traditional methods of teaching.
An Investigation into the Soft Skills of Prospective Teachers
Authors: Sadiki Hicham , Azalmad Nor-Eddine
Published: May 2024

Soft skills encompass personality, attitude, and behavior attributes, distinguishing them from formal or technical knowledge. Despite their pivotal role in ensuring success, these skills are challenging to showcase through traditional credentials like CVs, diplomas, or certificates, requiring specialized evaluation. Critical soft skills include communication, problem-solving, time management, teamwork, and leadership, which are particularly crucial for teachers given their central contribution to developing their societies. This quantitative study has investigated the soft skills of prospective teachers aiming to get a teaching certification in Morocco. It has employed a soft skills survey adapted from the Brookings Soft Skills Report Card to collect data. Participants’ responses to the five-point items were analyzed using SPSS 21.0. Results have revealed significant variations in perceived soft skills among future teachers based on their majors and seniority, with no discernible correlation between these skills and gender. The findings aim to enhance the literature on student-teachers, offering practical implications derived from the study's outcomes.