bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-BASED IMAGE PROCESSING SYSTEM FOR COLLEGE BUSES
Authors:   Department of Information Technology, Sandip Institute of Technology and Research Centre, Nashik, MAGJI AKASH
Published: April 2024

The "Al-Based Image Processing System For College Buses” project addresses the critical need for enhanced safety and security in college bus transportation through the implementation of an innovative AI-based image processing system. This system is designed to efficiently check student entry and verify active passes, ultimately creating a secure environment for all passengers on college buses. Leveraging advanced machine learning models, the primary goal is to improve the capacity and accuracy of the system, enabling it to capture multiple faces simultaneously with faster execution and more precise output. The hardware components of the AI-Secure Bus system include a Raspberry Pi, GSM module, GPS module, LCD display, and a reliable power supply. These components work in tandem to create a robust and versatile platform capable of real-time tracking, image processing, and communication. The workflow of adding datasets involves capturing student facial data, adding information about pass validity, and incorporating home location coordinates into the dataset. This meticulous process ensures that the system has comprehensive data to accurately authenticate and monitor student entries. The workflow toward the college involves making the bus location live, checking the proximity of students' home locations, and notifying students about the bus's arrival with approximate timings. This real-time tracking and communication significantly contribute to the efficiency and transparency of the transportation system. Keywords: Open CV, V2 camera, Raspberry Pi, image processing, Artificial Intelligence
VOICE-CONTROLLED ROBOT USING RASPBERRY PI AND BLUETOOTH
Authors:   Department of ECE, Guru Nanak  Institute of Technology, Hyderabad, S Mrs..Vasanthi,
Published: April 2024

In this digital technology era for all the risky and dangerous tasks we prefer Robots rather than people. In the early stage of this Robotics the Robes are manually controlled but due advancement in wireless technology now Robes can be controlled via voice This project employs voice commands to control through an Android app linked to a microcontroller via Bluetooth .Users can control the robot either by tapping buttons on the app or by speaking commands. Movement is powered by two DC servo motors connected to the receiver microcontroller. The voice commands are converted in to digital signals by the Bluetooth RF transmitter for an appropriate range to the robot. At the receiver end the data gets decoded by the receiver and is fed to the microcontroller which drives the DC motors for the necessary work. This research objective is to design and implement a cost effective but yet flexible, adaptive and secured voice controlled robotic vehicle to perform the required task by listening to the commands of the user. Voice interfaces offer numerous advantages. Notably, they eliminate the need for technology training making them instantly accessible to users. Keywords:- Micro Controller, Bluetooth.
Unravelling Transportation Trends with Data Engineering and Analytics
Authors:   Raghu Engineering College, Visakhapatnam, Kumar Mr. N Uday
Published: April 2024

The Unravelling Transportation Trends with Data Engineering and Analytics project delves into the correlation between driver behavior and customer ratings within ride-hailing platforms. Utilizing a dataset akin to Uber's, the study investigates the impact of acceptance rates and cancellation rates on customer satisfaction, aiming to glean valuable business insights for enhancing service quality and fostering business growth. Meticulous data collection and preprocessing ensure data accuracy and reliability, while secure cloud-based storage facilitates efficient data processing. By analyzing driver behavior metrics and customer ratings, the project uncovers pivotal patterns and trends, offering essential guidance for optimizing driver performance. This data-driven approach empowers ride-hailing services to implement targeted strategies for improving service quality, enhancing customer retention, and cultivating a loyal customer base. Keywords—Ride-hailing platforms, Driver behavior, Customer ratings, Data engineering Analytics, Service quality, Customer satisfaction, Data accuracy, Driver performance, optimization
Comprehensive Travel Companion: A Hybrid Recommendation and Route Planning System for Globetrotting
Authors:   Students, Department of Computer Engineering, Zeal College of Engineering and Research Narhe, Pune, Maharashtra, India, Shigwan Mayuri
Published: April 2024

This paper presents a comprehensive AI-powered travel companion system designed to enhance the travel experience for globetrotters. Leveraging cutting-edge artificial intelligence (AI) techniques, the system combines image recognition, recommendation algorithms, and route planning functionality to provide personalized travel recommendations and seamless navigation. The integration of collaborative filtering, content-based recommendation, and real-time route optimization algorithms ensures that users receive tailored suggestions and efficient travel routes based on their preferences, interests, and current context. The architecture, implementation details, and evaluation of the proposed system are discussed, highlighting its effectiveness in facilitating immersive and enjoyable travel experiences. Keywords: Travel Companion, Recommendation Systems, Route Planning, Image Recognition, Collaborative Filtering, Content-Based Recommendation, Dijkstra's Algorithm.
Machine Learning Approaches For Phishing Detection: A Comparative Analysis
Authors:   Department of Electronics and Telecommunication Engineering,  Thakur College of Engineering and Technology,  Mumbai, Maharshtra, India, Kulkarni, Purva
Published: April 2024

In this study, the effectiveness of four machine learning models in detecting phishing websites is evaluated. Utilizing a diverse dataset, the analysis reveals that Random Forest emerges as the top performer, achieving a test accuracy of 91.49%. Notably, Random Forest exhibits robustness in distinguishing between legitimate websites and malicious ones. While Decision Tree, K-Nearest Neighbors, and Naive Bayes also demonstrate promise, they encounter difficulties in accurately classifying phishing URLs, especially within certain categories. The findings underscore the pivotal role of machine learning in cybersecurity defence against phishing attacks. The study suggests avenues for future research, such as enhanced feature engineering and exploration of advanced ensemble techniques and deep learning approaches for improved phishing detection. This research contributes to the ongoing endeavours to develop more resilient anti-phishing tools and bolster digital security against evolving cyber threats. Key Words: Phishing, Machine Learning, Cybersecurity, Random Forest, Decision Tree, K-Nearest Neighbors, Naive Bayes, Website Detection, Feature Engineering, Ensemble Techniques, Model Comparison, Fine-Tuning.
GSM Based Smart Irrigation System with Micro Controller Powered by Solar Panel
Authors:   Dept. of ECE,  Guru Nanak Institute of Technology,  Hyderabad, India, N Mr. Dr. Srinivas
Published: April 2024

In recent years, the smart irrigation industry is forecasted to elevate the market value to USD 1,404.4 million, with an anticipated annual compound growth rate of 13.84%. This surge is credited to the significant enhancements in Research and Development, which have catalyzed the advancement and expansion of energy-efficient smart irrigation technologies. Such advancements are propelling the rapid development within the agricultural tech sector. Moreover, the prevalence of extreme climatic conditions globally necessitates highly efficient irrigation systems to adapt to such environmental challenges. India, predominantly an agrarian society, relies heavily on its farming community. The pivotal role of farmers is undeniable in contributing to the nation’s agricultural output. Agriculture remains a fundamental aspect of sustenance for a vast majority of the Indian population, playing a vital role in the economic stability of the country.
Research on Revolutionising Learning with AI-Powered Chatbots and NLP Techniques
Authors:   Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Maharashtra, India, Rathod Kunal
Published: April 2024

The project titled "Revolutionising Learning with AI-Powered Chatbots and NLP Techniques" aims to leverage cutting-edge technology to enhance the learning experience. It features an AI-based chatbot powered by the ChatGPT API, providing learners with a natural and interactive way to seek information and assistance. This chatbot not only responds to text queries but also incorporates voice-to-text and text-to-voice capabilities, akin to Google Assistant, ensuring accessibility for a wider range of users. Furthermore, the project integrates image text recognition, similar to Google Lens, allowing users to extract information from images. For an added dimension, the system enables users to send text commands to the chatbot and receive AI-generated images, making learning more engaging and informative. By combining these features, the project provides a comprehensive and innovative approach to learning by making information accessible through multiple modalities, thus catering to various learning styles and preferences. Whether it's through natural language conversations, voice commands, or image-based queries, this system promises to transform the way users interact with educational content and empower them to explore, learn, and discover in a manner that best suits their individual needs and preferences. Key Words: AI, Chatbots, NLP, ML, Voice-to-Text, Image Text Recognition.
Traffic Rules Violation Detection using Dashcam Footage
Authors:   Department of Computer Science and Engineering, Malnad College of Engineering, Hassan, J Anvesh
Published: April 2024

Traffic Rules Violation Detection using Dashcam Video Footage offers a novel strategy for improving traffic management and road safety through automated violation identification and reporting. The project's goal is to create a video processing system that can use dashcam data to identify and classify frequent traffic infractions. The system can recognize traffic infractions including speeding, lane changes without signaling, helmet recognition, and instances of triple riding on two-wheelers with high accuracy thanks to its integration of YOLO, OpenCV and RESNET50 classifier. The project also includes functionality for user account management and the implementation of a secure user authentication system. Users can examine and validate complete violation reports generated by the system prior to submission. The outcomes show a low false positive rate, rapid real-time processing, and good detection accuracy. Law enforcement organizations have shown. This initiative is an example of how important technical innovation is to solving societal issues and advancing public safety. Key Words: YOLO (You Only Look Once), OpenCV, ResNet50 (Residual Neural Network), Dashcam Video Footage.
A Comparative Study of Marketing Strategies Adopted by Various Edu-Tech Companies in K-12 Segment and Study of Perception and Preferences of Parents in Gujarat
Authors:   MBA Student, Parul University, Balmikiprasad Keshri Sunny
Published: April 2024

This study offers a unique perspective by centering on the decision-making process of Gujarati parents in the educational technology (edtech) sector, particularly in the western region of India. Departing from traditional research that predominantly focuses on K–12 students, this study prioritizes understanding the viewpoints and preferences of parents. It aims to uncover the myriad factors influencing Gujarati parents' choices of edtech companies for their children, including the reputation of businesses, the quality of educational materials, interactivity, cost-effectiveness, and regional or cultural influences specific to Gujarat. Moreover, the research delves into the marketing strategies employed by edtech companies in Gujarat, seeking to discern how they adapt their tactics to resonate with Gujarati parents' needs. Utilizing digital tools like Google Forms for data collection ensures efficiency and convenience, while statistical analyses validate findings. Ultimately, the study endeavors to provide fresh insights into Gujarat's edtech market dynamics, enabling companies to tailor their products and marketing strategies to better serve Gujarati parents and their children.
Smart Farming Robot for Detecting Environmental Conditions in a Green House
Authors:   Guru Nanak Institute of Technology, Hyderabad,
Published: April 2024

At a high level, the Smart Farming Robot for detecting environmental conditions in a greenhouse embodies a pioneering solution merging robotics and agricultural technology. This innovative system integrates advanced sensors to meticulously monitor vital parameters within the greenhouse environment, including temperature, humidity, soil moisture, light intensity, and air quality. Through seamless data collection and analysis facilitated by Raspberry Pi microcontroller technology, the robot autonomously navigates the greenhouse, continuously assessing conditions crucial for optimal plant growth. At an intermediate level, the system orchestrates a symphony of sensor data acquisition, processing algorithms, and navigational control mechanisms, all orchestrated to ensure real-time detection and response to deviations from ideal environmental conditions. Delving deeper, the system architecture encompasses intricacies of sensor interfacing, data processing, and algorithmic decision-making, harmonizing to deliver actionable insights for precision agriculture practices. Keywords- Raspberry Pico
THERMAL ANALYSIS OF A GAS TURBINE ROTAR BLADE
Authors:   Assistant Professor, Department of Mechanical Engineering, GNIT, Hyderabad, Telangana., K . Anoosha
Published: April 2024

Gas turbines have an important role in electric power generation gasterband technology is used in a variety of configurations for electric power generation. Turbine blades are mainly affected due to static loads also the temperature has significant effect on the gas turbine rotor blades. This paper summarises the design and steady state of thermal analysis of gas turbine router blade on which Solid Works 2020 of software is used for design of solid model of the turbine blade. Ansys 16 software is used for analysis of finite element model generated by meshing of the Blade and design calculation is computed by using MAT lab software .The materials of the gas turbine rotter blade are chosen as copper titanium and nickel. Key Words : Gas turbine, Turbine rotor blades, SolidWorks 2020, Ansys Workbench
Customer Segmentation Using Machine Learning to Improve Marketing
Authors:   Raghu Engineering College, Visakhapatnam, Devi Ms. B Gnaneshwari
Published: April 2024

Customer segmentation is the process of classifying customers according to characteristics they have in common. This enables organizations to effectively and accurately market to each group. In business-to-business marketing, a firm may divide its clientele based on a variety of criteria, such as location, industry, number of employees, and previous purchases made from the business. Marketers can more effectively target different audience subsets with their marketing efforts by using segmentation. These initiatives may pertain to product development as well as communications. In particular, segmentation aids in a business's ability to craft and deliver marketing communications that are specifically intended to appeal to some client segments while excluding others. Search and select the most effective communication channel. Based on the segmented clusters, this could be radio advertising, social media (Instagram, Telegram, Twitter, Youtube, etc.) email, or another strategy. We have used Gradio (an API for UI), the KNN Classification Algorithm (to classify new consumers), and the K-Means algorithm (to segment the customers) to accomplish this goal. Determine how to make goods or new opportunities for products or services better. It starts with collecting and evaluating data and concludes with taking suitable and useful action based on the information obtained. Key Words: Segmentation, targeted marketing, K-Means, KNN, Gradio.
IOT BASED AUTOMATIC SMART TRAIN PLATFORM CROSSING SYSTEM
Authors:   Electronics & Telecommunication & P G Moze College of Engineering, Pune, Patil Prof. Ashvini
Published: April 2024

The objective of this paper is to provide an automatic railway gate at a level crossing replacing the gates operated by the gatekeeper. It deals with two things. Firstly, it deals with the reduction of time for which the gate is being kept closed, and secondly, to provide safety to the road users by reducing the accidents. By the presently existing system once the train leaves the station, the stationmaster informs the gatekeeper about the arrival of the train through the telephone. Once the gatekeeper receives the information, the closes the gate depending on the timing at which the train arrives. Hence, if the train is late due to certain reasons, then gate remain closed for a long-time causing traffic near the gates. By employing the automatic railway gate control at the level crossing the arrival of the train is detected by the sensor placed near to the gate. Hence, the time for which it is closed is less compared to the manually operated gates and also reduces the human labor. This type of gates can be employed in an unmanned level crossing where the chances of accidents are higher and reliable operation is required. Since, the operation is automatic; error due to manual operation is prevented. Automatic railway gate control is highly economical microcontroller-based arrangement, designed for use in almost all the unmanned level crossings in the country. Key Words: Railway gate; level crossing; unmanned; gate; microcontroller etc.
Machine Learning Based Heart Disease Prediction Using Random Forest
Authors:   UG student, Dept. of Electronics and Computers Engineering, Sreenidhi Institute of Science and Technologies, Telangana, India, S . Swarna
Published: April 2024

A recent study by the World Health Organization sheds light on the alarming increase in cardiovascular diseases, contributing to approximately 17.9 million deaths annually. This study delves into the effectiveness of employing the Random Forest algorithm, a robust machine learning approach, to forecast the likelihood of heart disease based on diverse risk factors. By leveraging a dataset encompassing demographic, clinical, and lifestyle attributes, the Random Forest model underwent training to categorize individuals into two groups: those with or without heart disease. Through meticulous feature selection and ensemble learning, the algorithm adeptly captures intricate relationships among predictors, thereby augmenting prediction accuracy. Evaluation metrics including accuracy and AUC-ROC curve were employed in order to determine model's effectiveness. Impressively, our model achieves a prediction accuracy of 97%. Moreover, a comparative analysis with other prominent machine learning models such as Naive Bayes, Support Vector Machine (SVM), Logistic Regression (LR), XGBoost, Decision Tree revealed that the Random Forest approach outperforms others in terms of accuracy and efficiency in prediction tasks. Keywords: Random Forest (RF), Machine Learning (ML), Accuracy, Classification.
A STUDY OF DIGITAL MARKETING TRENDS IN INDIA
Authors:   Galgotias University, KUMAR AMIT
Published: April 2024

This research paper presents a framework to investigate digital marketing research which highlights the techniques used in the process, along with its efficacy and the effects of different technology tools and social media platforms. We went over the study literature in the widely defined field of digital marketing and organized the research methodologies according to the elements using the framework. The study paper's goal is to evaluate the efficacy of various social media networks and digital media marketing techniques. This essay primarily examines the importance of digital marketing, the distinctions between it and offline marketing, and the impact of the internet and technological tools on the efficacy of digital advertising techniques.The purpose of editing this study report is to assist small businesses in understanding the value of social media marketing over traditional advertising tactics and implementing digital advertising into their business models.
Rise Together: A Crowdfunding Platform
Authors:   Department of Computer Science and Engineering  Rajiv Gandhi Institute of Technology  Bangalore-560032, Karnataka, J Mrs. Kavyashree
Published: April 2024

The project titled “Rise Together: A Crowdfunding platform” introduces a groundbreaking Crowdfunding Platform on the Ethereum blockchain, revolutionizing traditional fundraising models. Leveraging smart contracts for seamless automation and execution of campaigns, the platform ensures transparency, security, and efficiency. Ethereum's decentralization eliminates intermediaries, reducing costs, and enhancing accessibility. Key features include a user-friendly interface, contribution tracking, and real time campaign monitoring. Utilizing Ether as the native cryptocurrency streamlines contributions, offering a secure and standardized means of support. Positioned at the intersection of blockchain and fundraising, this project contributes to the evolution of decentralized finance, showcasing Ethereum's potential for secure, inclusive, and innovative crowdfunding. Key Words: Rise Together, Crowdfunding, Blockchain, Smart Contract, Transparency, Decentralization, Wallet Integration.
A Review on Drip Irrigation System
Authors:   Atma Malik Institute of Technology and Research, Shahapur, Jadhav Mr. Mohak Anil
Published: April 2024

Irrigation can be defined as the process of applying artificial water to soil or land in order to promote the growth of agricultural crops such as corn and wheat. Water irrigation has a number of advantages,including an increase in crop yield, protection against famine, revenue generation, and the avoidance of mixed cropping. It also has advantages in navigation, hydroelectric power generation, and the creation of employment opportunities. It should be noted that irrigation has both advantages and disadvantages, just like everything else. Irrigation has a number of disadvantages, including the waste of irrigation water, formation of marshy lands, damp weather, and the loss of valuable agricultural land. Drip irrigation is one of the surface and subsurface irrigation methods that we will discuss in this paper. We will also discuss the various effects and advancements in this technique that have occurred as a result of the research conducted. Last but not least, the significance and necessity of this system will be discussed. Key words:- Drip, Irrigation, Artificial Irrigation, Efficiency, Framers
Human Scream Detection and Analysis to Control Crime Rate using Machine Learning
Authors:   Department of ECE,  RVR&JC College Of Engineering Guntur,India, Sk. Kowsar,
Published: April 2024

Public safety is significantly hampered by delayed police response due to a lack of accurate and timely information about crimes. Human scream detection using audio classification offers a promising solution. This work presents a novel three- phase scream detection system leveraging a K-Nearest Neighbors (KNN) classifier and a Multilayer Perceptron (MLP) model. The system first separates human distress sounds from back- ground noise using MFCC features and KNN. Subsequently, it differentiates screams from shouts within the distress category using another KNN classifier. Finally, the classified screams trigger emergency notifications sent to the police station via the Twilio library. Our proposed system offers a robust and layered approach to scream detection, potentially enhancing response times and improving public safety. Index Terms—MFCCs, KNN, Multilayer perceptron model, Scream Detection.
Strength Properties of Blended Cement Mortar with Metakaolin and Rice Husk Ash
Authors:   Department of Civil engineering & Srinivasa Ramanujan Institute of Technology(A), Suneel Pitti Venkata
Published: April 2024

This study investigates the feasibility of using rice husk ash (RHA) and metakaolin as substitutes for Ordinary Portland Cement (OPC) in mortar production to reduce greenhouse gas emissions associated with construction. The study employs MM3 grade mortar, with RHA replacing cement at varying percentages (0%, 5%, 10%, and 15%), while metakaolin consistently substitutes 10% of the cement. Compressive strength tests are conducted on specimens cured for 7, 14, and 28 days to assess performance. The study utilizes OPC 53-grade cement with a water-cement ratio of 0.4. In total, four mortar mixes are prepared, and each mix comprises nine specimens, totaling 45 specimens. Initially, conventional mortar is evaluated for its physical and mechanical properties. The study aims to contribute to ongoing efforts in the construction industry to explore sustainable alternatives to conventional materials, such as RHA and metakaolin, while ensuring the requisite strength properties of mortar are maintained. Key Words: Rice husk ash, metakaolin, cement, sand, mortar and compressive strength
IMPACT OF RECEIVABLES MANAGEMENT ON PROFITABILITY WITH REFERENCE TO TIFSCO PVT LTD
Authors: S BHARATHI,
Published: April 2024

Effective receivables management is a cornerstone of financial health for any business. Accounts receivable represent money owed by customers for goods or services delivered, and efficiently collecting these outstanding payments directly impacts a company's profitability. This research project delves into the intricate relationship between receivables management strategies and a firm's bottom line. We aim to explore how practices like credit policies, collection procedures, and credit analysis techniques influence profitability metrics. The core of the investigation lies in understanding how efficiently companies convert credit sales into actual cash flow. A central focus will be on analyzing the impact of receivables management on key profitability ratios, such as return on assets and operating profit margin. We will explore how factors like the speed of collections, measured by days sales outstanding (DSO), affect a company's ability to generate profits. The research will also consider the potential trade-off between stricter credit policies that might reduce bad debts but also limit sales volume. By examining real-world examples from various industries, the project aims to establish a clear understanding of how sound receivables management practices contribute to a company's overall financial success. The findings of this research can provide valuable insights for businesses to optimize their credit and collection strategies, ultimately leading to improved profitability and a more sustainable financial position. During economic slumps, customers might face financial difficulties, leading to delays or defaults on payments, impacting a company's cash flow and profitability. Granting credit to customers with a high risk of default can lead to bad debts and erode profitability. Lengthy and cumbersome collection procedures can delay the inflow of cash and hinder a company's ability to reinvest in growth opportunities. Poor communication with customers regarding payment terms and overdue invoices can lead to misunderstandings and delays in collections
Deep Learning-Based Intelligent Video Surveillance System for Real-Time Motion Detection
Authors: S Sudharsan
Published: April 2024

The proliferation of surveillance systems demands advanced solutions to effectively monitor and analyze video feeds for security and safety purposes. In this paper, we propose a Deep Learning-Based Intelligent Video Surveillance System (DIVSS) designed to enhance traditional Closed-Circuit Television (CCTV) setups. DIVSS integrates state-of-the-art deep learning techniques for real-time motion detection and object recognition, enabling proactive threat detection and automated response mechanisms. The system utilizes convolutional neural networks (CNNs) for robust feature extraction and classification, enabling accurate identification of objects of interest amidst complex backgrounds and varying[1] lighting conditions. Furthermore, DIVSS incorporates region of interest (ROI) monitoring to focus attention on specific areas within the surveillance footage, optimizing computational resources and improving response times. We evaluate the performance of DIVSS through comprehensive experiments conducted on diverse surveillance scenarios, demonstrating its effectiveness in enhancing security measures and providing actionable[3] insights for surveillance operators. The proposed system represents a significant advancement in video surveillance technology, offering unparalleled capabilities for proactive threat detection and real-time response in dynamic environments. Keywords— Deep learning has transformed video surveillance, enabling real-time motion detection and object recognition using Convolutional Neural Networks (CNNs). This technology provides proactive threat detection, intelligent systems for ROI monitoring, and enhances overall security measures.
Historical memory in Okinawa Prefecture: Regional specifics
Authors: Nelidov V. V.
Published: April 2024

Okinawa Prefecture takes a special place among Japan’s regions. Until the 19th century, its territory was occupied by the Kingdom of Ryukyu, which was dependent on and influenced by both Japan and China. In 1879, it was incorporated into the Japanese Empire and for a long time was a de-facto colony. In 1945, the island of Okinawa became the arena of fierce ground fighting, which claimed the lives of almost 200,000 people. The article studies the most widespread narrative about the history of the prefecture and, particularly, the tragedy of World War II. It shows that, in the pre-war period, the status of Okinawans in the Japanese Empire was ambiguous. On the one hand, from the point of view of Japanese authorities and Japanese society as a whole, they were separate from the residents of the rest of the country, which was solidified both by the economic backwardness of the region and the fact that, in terms of the administrative and political system, its status was different from that of other prefectures even several decades after the annexation. On the other hand, it is shown that Okinawans were not necessarily considered a separate people and were often perceived as a “branch” of the Japanese. In this sense, their status was radically different from that of the people of Taiwan and Korea. Such an ambiguous status of Okinawans in the public discourse of Japan before 1945 influenced the way in which, in the post-war period, they were perceiving the experience of World War II. Memorials and other commemorative objects promote the narrative according to which Okinawans were only and exclusively victims of the war, with key culprits of their suffering often being not even Americans or the abstract “calamity of war,” but rather the Japanese military. This narrative continues to define the identity of Okinawans to this day, influencing their attitude to central authorities, the Japan-U.S. military-political alliance, and the problem of U.S. bases in Okinawa.
“The Subscription List.” The Kabuki play Kanjinchō
Authors: Khomchenkova V. V.
Published: April 2024

The article is devoted to the Japanese drama  Kanjinchō, its text being introduced into Russian scientific circulation. The translation was made with the participation of students from the National Research University Higher School of Economics as part of the project “Translation of Kabuki Theater Plays.” Kanjinchō is one of the most famous dramas in Japanese theatrical tradition. The story focuses on the valiant warrior Minamoto-no Yoshitsune (1159–1189), who is one of the most beloved characters in Japan. Yoshitsune defeated the Taira clan in the decisive Dannoura sea battle (April 25, 1185). The Genpei war ended, but his brother Yoritomo ordered to kill him. Saving their lives, the hero and his companions disguise themselves as  yamabushi monks in order to pass unnoticed through the lands of Japan, blocked by special military inspection checkpoints. “Kanjinch ō ” tells the story of how the samurai crossed one of the gates, named Ataka, in the Japanese mountains. The monk Benkei, Yoshitsune’s faithful companion, used his wits to outwit the gatekeeper, named Togashi-no Saemon. The play contains famous theatrical scenes: an impromptu reading of a charity signature sheet  kanjinchō, the yamabushi-mondō  dialogue, Yoshitsune’s strike, the  Ennen-no mai  dance, the  tobiroppo  flying step. The play originally belonged to Noh theatrical tradition, but Kabuki also adapted it on stage. However, the Noh influence remained strong, which is also discussed in the paper. The religious aspect in the play is presented extensively, reflected both in the actors’ lines and material objects props, accessories, and costumes. This is a feature of Kabuki as a form of performing art, demonstrating deep elaboration of Buddhist symbolism. The article also presents an analysis of the main characters, their stage embodiments, analysis of the symbolism and costumes, a description of   the stage details, and a description of the Buddhist aspect of the play.
The perception of “insular” England in “insular” Japan
Authors: Meshcheryakov A. N.
Published: April 2024

The insular position has serious influence on history and mentality. However, this provision “works” only in conjunction with other factors. Japan and England are island nations, but the history of England is characterized by the maximum number of foreign contacts, while that of Japan, until the middle of the 19th century, by the minimum one. The passive approach to space in Tokugawa period is explained by the following factors: high productivity of rice cultivation, lack of livestock farming, the conviction that Japan has the best climate, and the “closed country” policy. During the Meiji period, under the influence of the West (primarily Great Britain), the attitude towards space changed radically. The sea was conceptualized as a “conducting,” rather than “isolating” environment. The choice of Great Britain as a role model was determined, first of all, by its experience in the conquest of maritime space and the creation of a powerful colonial empire. The transition to a new model of “expanding space” was also justified by references to ancient times, when the Japanese had an “active” character, but the “closed country” policy “spoiled” the Japanese. As a result of military victories over China (1894–1895) and Russia (1904–1905), Japan began to be called “England of the East.” Great Britain ceased to be a role model after its withdrawal from the Japanese-British Alliance Treaty in 1922, and public discourse was directed towards justifying the uniqueness of the Japanese. The established characterization of the Japanese as adherents of tradition is dubious. The appeal to antiquity was indeed of great importance for the Japanese and, in this sense, they can be considered “traditionalists.” But, after the Meiji Revolution, they demonstrated amazing ability to embrace the “new” and destroy the “old,” but often boasted that they were “merely” recollecting their past. The concept of “traditionality” is too broad. Upon closer examination it does not provide much for understanding historical and cultural processes which require careful division into components that have an exact chronological and situational reference.
ORGANIZATION OF AN EVENT AS AN IMPORTANT FACTOR IN THE DEVELOPMENT OF RURAL TERRITORIES
Authors: Nuzhdina Marina
Published: April 2024

Currently, in Russia the focus of tourist flows covers an increasing number of regions. The positive impact of the tourism sector on the economic development of the region and rural areas is known, but despite the obvious advantages, not all regions of the Russian Federation are able to fully use their natural tourism resources to attract the flow of tourists and economic development of rural areas. The formation of tourism business in rural areas is determined by the availability of tourism and recreational resources, which serve as the initial basis for the formation of the tourism product. Therefore, it is necessary to explore the recreational potential of rural regions for the production of tourism products that can satisfy the most diverse tourist and recreational needs of modern people.

Today, tourism and recreational activities are among the most dynamically developing activities that affect the socio-economic situation of a particular territory. Effective organization of the tourism and recreational sector is becoming one of the main factors in the development of the territory’s economy, increasing the standard of living of the population through the creation of new jobs, growth in budget revenues, development of related industries, etc.
Manejo quirúrgico exitoso de tres complicaciones mecánicas del infarto agudo de miocardio: comunicación interventricular, insuficiencia mitral grave y aneurisma ventricular
Authors: Jiménez-Espinosa Rutilo D. , Saucedo Castillo Jesús , Velazco Ortiz Daniel , Navarro Vidaña Alejandro , Hernández-Pérez Ana Luisa
Published: April 2024

Resumen Las complicaciones mecánicas tras sufrir un infarto agudo de miocardio tienen una mortalidad muy alta por separado (40-50%), y la sumatoria de estas incrementan el riesgo de mortalidad tras la reparación quirúrgica. En esta comunicación de caso se presenta un paciente que evoluciona con comunicación interventricular posinfarto de localización posterior y de presentación temprana, con estabilidad hemodinámica. Luego, el paciente presenta insuficiencia mitral aguda grave más aneurisma ventricular también posterior. Se lleva a cabo un procedimiento quirúrgico de resolución exitosa. El diagnóstico temprano, la selección del paciente y el manejo multidisciplinario adecuado optimizan el resultado exitoso. El objetivo de esta comunicación es exponer un caso clínico con estas características, ya que en la literatura existen muy pocos casos de pacientes vivos con estas tres complicaciones que sobrevivieron al evento agudo y, aún más, luego de la reparación quirúrgica.
Almanya’da Dinler Arası Diyalog: Görünüş ve Gerçek
Authors: İnam Ahmet
Published: April 2024

Tarih boyunca insanların birbirleriyle ilişkileri, tarafların muhataplarını tanımalarıyla mümkün olabilmiştir. Barış ve huzura giden süreç de diyalogdan ve onun en temel unsuru olan ‘yüz yüze’ iletişimden geçer. Tarihte bunun en güzel örneği Hz. Muhammed’in (sav.) Medine’de yaşayan ve henüz Müslümanlığı kabul etmemiş topluluklarla kurduğu yüz yüze ilişkiler ve onlarla yaptığı “Medine Vesikası” olarak bilinen sözleşmedir. Bu sözleşme, sonraki Müslüman ve gayri Müslim toplumlarda etnik ve dinî farklılıklardan doğan sorunlarda referans teşkil etmiştir. Bu doğrultuda Osmanlı Devleti’ndeki gayrimüslimler de “Millet Sistemi” adı verilen hukuki sistemde dinlerini ve kültürlerini yaşayabilmişlerdir. Diyalogun sağlıklı gerçekleşmesi bazı şartlara bağlıdır. Her şeyden önce taraflar eşit mertebeden diyalog kurmalıdır. Bunun yanında taraflar muhataplarının razı olmayacakları beklentilere girmemelidir. Önemli bir şart da tarafların dürüst olmasıdır. Mesela, Müslümanların sorunlarını çözmek için değil de kendi menfaatleri için diyalog çalışmaları yapan FETÖ gibi yapılanmaların dürüst olmadığı ve bu sebeple Müslümanların geneline zarar verdikleri aşikârdır. Diyalog sorunlarına başka bir örnek de Alman İslam Konferansı çerçevesinde yapılan çalışmalarda dışarıdan Müslümanların iç/ dini meselelerine gibi müdahale edilmesidir. Bugün Almanya’da yaklaşık 5 milyon Müslüman yaşamaktadır ve bu da toplumun yaklaşık % 6’sını oluşturmaktadır. Dolayısıyla göz ardı edilemeyecek büyük bir Müslüman nüfusa sahip Almanya’da birçok sebepten kaynaklanan sorunların çözümünde devlet ve (Alman) toplum(u) için olduğu kadar Müslüman kesim için de diyalog son derece önemlidir. Ancak sorunlara çözüm için yapılan diyalog faaliyetleri hiç de sorunsuz yürümemektedir. Daha açık bir ifadeyle Müslümanlarla bilhassa üst düzeyde yürütülen diyalog çalışmaları hedefleri ve yöntemi bakımından Müslümanlar nezdinde sancılı geçmeye devam etmektedir.
Measurement Scales on Investment Decision-making. Empirical Evidence Based on MiFID Questionnaires.
Authors: González del Pozo Raquel
Published: April 2024

The MiFID European directive regulates the provisions of investment services and improves the protection of retail investors. To know the financial knowledge and experience of investors, this directive uses basically two types of questionnaires: appropriateness and suitability tests in which are employed different measurement scales. Since some sub-fields of Behavioral Finance are focused on the study of perception biases, the main objective of this paper is to analyze some advantages and drawbacks of numerical and verbal rating scales, and to examine their effects on investors’ perceptions. To do that, it was carried out an empirical study based on different measurement scales: verbal, numerical rating scale, and verbal scale considering proximities. In this contribution, the concept of ordinal proximity measure is employed to collect the individuals’ perceptions about ordinal scales.
PENDAMPINGAN PEMBUATAN RESIRKULASI AIR DAN KUALITAS AIR TAMBAK UDANG BERBASIS INTERNET OF THING DI DESA MATANG PINEUNG ACEH TIMUR
Authors: Ahmad Ihsan  , Khairul Muttaqin  , Nurul Fadillah  , Nanda Novianda , Zainal Arif  , Sherly Febrianti
Published: April 2024

Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk mengembangkan keterampilan mitra dalam resirkulasi air tambak berbasis Internet of Things (IoT). Metode pelaksanaan PKM adalah edukasi-persuasif merupakan pendekatan yang dilakukan kepada masyarakat berupa sosialisasi, demontrasi, dan dilanjutkan dengan pendampingan dalam rangka transfer pengetahuan, teknologi, dan resirkulasi air melalui monitoring kekeruhan air tambak berbasis internet of thing. Teknologi resirkulasi air berdasarkan kekeruhan air secara IoT sangat memudahkan pekerjaan dan yang terpenting adalah meningkatkan keberhasilan panen pembudidaya tambak. Selain itu, kegiatan manajemen telah berhasil meningkatkan pemahaman mengenai pentingnya resirkulasi air tambak untuk meningkatkan income. Berdasarkan hasil monitoring dan evaluasi atau monev, kegiatan ini secara keseluruhan telah menggambarkan perkembangan yang memuaskan. Hasil ini diperoleh dari penilaian masyarakat yang senang dan berhasil meningkatkan produktivitas panen pembudidaya tambak.
SOSIALISASI SISTEM INFORMASI PENGADUAN BENCANA BERBASIS WEB PADA BADAN PENANGGULANGAN BENCANA DAERAH KOTA LANGSA
Authors: Khairul Muttaqin  , Ihsan Ahmad , Abdul Rahman Nazaruddin
Published: April 2024

Verifikasi dan validasi pengaduan bencana merupakan sesuatu yang sangat dibutuhkan oleh Badan Penanggulangan Bencana Daerah Kota Langsa. Sering terjadi pengaduan palsu yang di lakukan masyarakat sehingga ketika petugas turun kelokasi yang di laporkan tidak terjadi bencana seperti yang di laporkan masyarakat. Oleh karena hal tersebut sangat dibutuhkan system informasi pengaduan bencana berbasis web. Sistem informasi ini disosialisasikan kepada masyarakat untuk dapat digunakan sebaik mungkin dalam pengaduan bencana. Metode sosialiasasi menggunakan dua pendekatan yaitu Kaji Tindak (Action Research) dan Peer Coaching). Hasil yang didapat dari sosialiasi sistem informasi ini, masyarakat sangat siap dalam pemanfaatan teknologi ini.
MODEL PERTANIAN ORGANIK BERBASIS TANAMAN CEPAT PANEN DAN TOGA UNTUK KEMANDIRIAN PANGAN DAN PENGENDALIAN PENYAKIT PASCA BANJIR DI DESA PAYA UDANG KECAMATAN SERUWAY KABUPATEN ACEH TAMIANG
Authors: Sari Mulia Safrida , Aulia Tiba Muna , Irfan Muhammad , Williadani Selvia , Syah Attariq , Br Harahap Kasmiriati , Akmal Putra Bustanul
Published: April 2024

Penyakit dan ketidakmandirian pangan merupakan masalah serius yang dihadapi oleh masyarakat pasca banjir di Desa Paya Udang, Kecamatan Seruway, Kabupaten Aceh Tamiang. Untuk mengatasi permasalahan ini, dilakukan program pengabdian berupa pembuatan model pertanian organik berbasis tanaman cepat panen dan tanaman toga. Program ini bertujuan untuk meningkatkan produksi pangan lokal, kemandirian pangan, dan pengendalian penyakit pasca banjir melalui penerapan praktik pertanian organik yang berkelanjutan. Tanaman cepat panen seperti bayam, kangkung, dan singkong dipilih karena dapat memberikan hasil yang cepat dan memenuhi kebutuhan pangan masyarakat. Tanaman toga seperti sereh juga diperkenalkan sebagai pengusir nyamuk alami dan upaya pencegahan penyakit yang ditularkan oleh nyamuk. Program ini melibatkan partisipasi aktif masyarakat, kelompok tani, dan tim Kuliah Kerja Nyata (KKN) dalam proses pembukaan lahan, persiapan tanah, penanaman, pemeliharaan tanaman, dan pengendalian hama organik. Melalui pelatihan, penyuluhan, dan pendampingan, pengetahuan dan keterampilan masyarakat dalam pertanian organik ditingkatkan. Hasil program ini mencakup peningkatan produksi pangan lokal, diversifikasi konsumsi pangan, peningkatan kemandirian pangan, dan pengendalian risiko penyakit pasca banjir. Selain itu, program ini juga memberikan rekomendasi untuk pengembangan kebijakan yang mendukung pertanian organik dan keberlanjutan pangan di tingkat lokal dan nasional.
Penerapan Alat Pakan Otomatis Berbasis Internet Dan Pemanfaatan Maggot Sebagai Pakan Alternatif Pada Kelompok Perikanan Di Desa Pangkalan Aceh Tamiang
Authors: Al Fajar Beni , Fitria Liza , Gustia Wibowo Sara , Fitriani Fitriani , Muttaqin Khairul
Published: April 2024

Tujuan pengabdian ini adalah untuk mencari pakan alternatif pengganti pakan komersil dengan memanfaatkan maggot dari lalat tentara hitam (Hermetia illucens) atau Black Soldier Fly (BSF) yang tinggi protein dan penggunaan alat pemberian pakan otomatis berbasis Internet of Things (IOT) guna mengurangi biaya pakan, waktu pemberian dan meningkatkan hasil produksi lele. Pengabdian ini dilakukan selama 6 bulan dengan beberapa tahapan, yaitu tahap persiapan, sosialisasi program PKM, Budidaya lalat BSF hingga pemanenan maggot, pembuatan alat pemberian pakan otomatis berbasis IOT, tahap pelatihan penerapan teknologi, tahap pendampingan operasional, tahap monitoring evaluasi. Berdasarkan hasil kegiatan menunjukkan bahwa sebelum pelaksanaan pelatihan anggota kelompok belum mengerti bagaimana teknik dalam budidaya lalat BSF. Akan tetapi setelah diberikan pelatihan semua anggota kelompok dapat memahaminya dengan baik. Selanjutnya dalam kegiatan penerapan alat pemberian pakan otomatis, kelompok pangkal ikan dilibatkan langsung secara penuh agar dapat mengoperasikan alat secara mandiri nantinya. Dapat disimpulkan pelaksanaan program mampu memberikan pemahaman mengenai budidaya lalat BSF dan penerapan alat pemberian pakan otomatis berbasis IOT. Pelaksanaan program memberikan dampak yang positif khususnya bagi kelompok Pangkal Ikan sehingga mampu mengurangi biaya pakan dan  dapat mengontrol pemberian pakan secara tepat sehingga lebih efektif dan efisien mempercepat proses produksi.