bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluations of Clarinet Sound Quality and Register Characteristics
Authors: Xu Jiasheng
Published: July 2023

The clarinet is a commonly used woodwind instrument that has a unique sound quality, making it a prominent instrument in solo performances and orchestral music. Therefore, sound quality plays an important role in the perception of clarinet sound. This study provides a review of the relevant research in the field of clarinet sound analysis and synthesis, and identifies many valuable references from previous studies. In studying the noise component of clarinet sound, this study recorded audio samples of E3, E4, and E5 and preprocessed them by slicing and performing frequency domain transformations. Using 13 representative spectral features, this paper extracted features from the spectral signals and constructed a classification model of sound quality based on the SVM algorithm of machine learning. Finally, this study analyzed the shortcomings of the SVM algorithm in high-pitch analysis and proposed future research directions of combining the SVM algorithm with different sound characteristics of clarinet registers and spectral changes throughout the entire process of playing. These results shed light on guiding further exploration of the timbre of the clarinet.
A New Species of Fossil Pseudosimnia (Gastropoda: Ovulidae) from the Miocene of West Java, Indonesia
Authors: Celzard Alain , Dovesi Matteo
Published: July 2023

A new species of Ovulidae Schilder, 1968, Pseudosimnia javanensis n. sp., is described from Miocene formations in the hills south of Tasikmalaya, West Java, Indonesia. The general appearance of the new taxon shows a combination of characters that distinguish it from any other living species of Pseudosimnia Schilder, 1925. One subspecies is also described, Pseudosimnia javanensis elongata n. ssp.
A Neutrosophic Model for Ranking Technical Sol utions for Three Types of ARP Attacks in SDN Architecture
Authors:   Faculty of Computer and Informatics, Zagazig University, Zagazig, Egypt, Mohamed Ehab R. ,   Faculty of Computer and Informatics, Zagazig University, Zagazig, Egypt,   Faculty of Computer and Informatics, Zagazig University, Zagazig, Egypt, Mansour Heba M. , El-Komy Osama M. El
Published: July 2023

Software-defined networks (SDN) have developed an understanding of the technological world in recent decades, which has led scholars to become interested in its problems. One of the primary issues facing SDN networks is security. We discovered that ARP assaults constitute a significant threat to SDN, so we provided in this survey the most recent solutions put forth to counteract these attacks, and rank the technical solutions based on the neutrosophic set. The neutrosophic set is used to deal with uncertain data in the evaluation process. The neutrosophic set is integrated with the TOPSIS method to obtain the rank of the proposed solutions. The TOPSIS method is used to give a rank of alternatives with specified criteria. This will make it easier for future researchers to identify and combat the three different forms of ARP attacks—ARP flooding assault, ARP spoofing attack, and ARP broadcasting attack. Prior to that, we went into more detail on SDN networks, including their design and, in particular, the shortcomings of the ARP protocol. Since SDN focuses on separating the controller plane from the data plane and centralizing the controller, it differs significantly from traditional networks and has stirred considerable controversy in the networking industry. Due to the fact that SDN is software-based, it offers greater flexibility, scalability, programmatic management, and control. The decoupling of the control and forwarding planes also enables SDN to connect to applications via application programming interfaces (APIs), supporting application security and performance and resulting in a scalable and dynamic network architecture. Contrarily, because traditional networks are hardware-based, they must use fixed functions and specialized hardware and devices to control the network. As a result, scaling traditional networks requires purchasing new hardware, which is a common issue. The SDN network architecture and its properties, as well as the most significant issues—particularly the three different types of ARP attacks that affect SDN—are covered in some sections of this research. These sections also discuss the best current remedies for these issues and outline the ongoing work that will eventually result in an ideal SDN network architecture free of significant security issues.
Fusion Unleashed: A Comprehensive Analysis of Egypt's Digital Potential, the Growing Digital Economy, and its Socio-Economic Implications
Authors:   Tashkent State University of Economics, BALBAA Muhammad Eid
Published: July 2023

This research paper explores the fusion-driven dynamics of Egypt's digital economy and its socio-economic implications, with a specific focus on the growth of e-commerce, FinTech, startups, and digital skills development. It explores the transformative effects of the digital economy on entrepreneurship, job creation, and inclusive participation in Egypt's evolving digital landscape. The study examines the barriers hindering inclusive access to digital technologies, digital skills, and digital financial services, aiming to propose strategies for promoting digital inclusion. Additionally, the research explores the role of social entrepreneurship in bridging the digital divide and fostering sustainable development in Egypt's digital economy. By analyzing the impact of social entrepreneurship initiatives, the study sheds light on innovative models that empower marginalized communities and contribute to the inclusive growth of the digital economy. The findings of this research contribute to the existing body of knowledge by providing insights into the unique dynamics of Egypt's digital economy and the potential of social entrepreneurship in driving digital inclusion and sustainable development. The study concludes with recommendations for policymakers, businesses, and stakeholders to foster an enabling environment that supports equitable and inclusive participation in Egypt's digital economy.
EV grid-connected control and economic benefit analysis based on V2G technology
Authors: Cheng Xinyu
Published: July 2023

With the large-scale use of EV around the world, it has become a popular research direction to integrate EV into the power grid to achieve the purpose of peaking and valley filling for the power grid. With V2G technology as the core, this paper firstly analyzes the V2G grid-connected control technology, namely active power and reactive power control and clustering control at the theoretical level. From the perspective of cooperative game, it elaborates the commercial operation mode of V2G after grid-connected. Finally it puts forward relevant assumptions on the future development trend of V2G based on the current development status of V2G technology.
Deep Learning in Image Recognition
Authors: Huang Yanxiang
Published: July 2023

With the rapid development of high-tech in China, the field of artificial intelligence has also been promoted. Image recognition is an important topic in the field of artificial intelligence, which mainly includes two modules: classification recognition and feature extraction; At the same time, as an important research direction of AI, deep learning has made rapid progress in recent years. It has been widely used in image recognition, speech recognition and other fields and has achieved great success. This paper analyzes the application of deep learning in image recognition, mainly from the aspects of face recognition, remote sensing image classification, etc. Its purpose is to provide help for relevant practitioners, so as to promote the development of image recognition in the tide of AI development.
A Secure Method of Communication in Conventional Cryptography using Quantum Key Distribution
Authors: Anilkumar Chunduru , Gorle Bhavani , Sowmya Kinthali
Published: July 2023

Security knowledge is one of the foremost challenges in the present day. When the topic is about Information security, the concept of cryptography comes into the picture. Every day, people and organizations use cryptography to maintain the confidentiality of their communications and data as well as to preserve their privacy. Today, one of the most successful methods used by businesses to protect their storage systems, whether at rest or in transit, is cryptography. Yet, cryptography is an effective technique to secure the data, the modern technology can break the cryptographic techniques. But some data encryption algorithms are several times stronger than today's conventional cryptography and can be constructed using quantum computing. They are "Quantum Cryptographic Algorithms ". Quantum cryptography uses the rules of quantum physics instead of classical encryption, which is based on mathematics, to protect and transmit data in a way that cannot be intercepted. Quantum key distribution is the greatest illustration of quantum cryptography and offers a safe solution to the key exchange issue. The proposed work deals with quantum cryptography and mainly focuses on how the quantum cryptographic algorithm is more secure than traditional cryptography.
Deep Learning-Based Yoga Posture Specification Using OpenCV and Media Pipe
Authors: Anilkumar Chunduru , Jyothsna Robbi , Sree Sattaru Vandana , Gothai E.
Published: July 2023

Yoga is a years discipline that calls for physical postures, mental focus, and deep breathing. Yoga practice can enhance stamina, power, serenity, flexibility, and wellbeing. Yoga is currently a well-liked type of exercise worldwide. The foundation of yoga is good posture. Even though yoga offers many health advantages, poor posture can lead to issues including muscle sprains and pains. People have become more interested in working online than in person during the last few years. People who are accustomed to internet life and find it difficult to find the time to visit yoga studios benefit from our strategy. Using the web cameras in our system, the model categorizes the yoga poses, and the image is used as input. However, the media pipe library first skeletonizes that image. Utilizing a variety of deep learning models, the input obtained from the yoga postures is improved to improve the asana. On non-skeleton photos, VGG16, InceptionV3, NASNetMobile, YogaConvo2d, and also InceptionResNetV2 came in the order of highest validation accuracy. The proposed model YogaConvo2d with skeletal pictures, which is followed by VGG16, reports validation accuracy in contrast, NASNetMobile, InceptionV3, and InceptionResNetV2.
A Review of the Flexible Robotic Arm
Authors: Li Qi , Yu Chengfeng
Published: July 2023

In the application of the robot, the gripper of the robot is an important medium between robot arm and target. The traditional manipulator hand is mostly rigid, which is easy to damage or unable to clamp the object in the operation process. What are demanded from robotics are no longer limited to just mechanical assistant, more efficient and precise target acquisition of robotics with self-adaptation and self-adjustment have become the tackle key in robot research and design. In this paper, the design of flexible materials, the AI real-time sensing and controlling of flexible manipulator are described, as well as the application and prospects are analyzed. It is intended to provide perspective and direction for the weak interaction between flexible robotic arm and environment, less adaptability and inflexibility in complex environment. In the future, a more advanced, flexible robotic arm can be created that goes even beyond the human arm and contributes to development of the world.
Research on Drug Traceability System Based on Blockchain Technology
Authors: Zhu Chenxiao , Chen Runjia , Zhu Yibing
Published: July 2023

Because of the frequent occurrence of drug safety incidents in recent years, drug safety cannot be effectively guaranteed. The purpose of this study is to establish a blockchain-based drug traceability system and strengthen the construction of a drug information technology traceability system. Because the traditional drug traceability system depends on a certain center, there are many traceability participants, and the information is difficult to integrate, resulting in incomplete and unreliable traceability information. The use of blockchain technology can achieve data tamper-proof and decentralization so that each drug can be tracked through the unique identifier on the blockchain to ensure the integrity and authenticity of the data. Finally, "one thing, one code, one traceability code" will be realized, to strengthen the sharing of traceability information, realize the traceability of the whole variety and process, and improve drug safety. The drug traceability system consists of the data collection system, product traceability identification system, data statistical analysis system, and other subsystems. The platform uses distributed ledgers, blockchain, data technology, smart contracts, data mining and analysis, and other technologies to achieve multiple functional requirements such as anti-counterfeiting traceability of enterprise products, process tracking, data statistics, and so on.
Comparison of Different Circuit Topology for Generation of PWM Signal with High Power for Electroporation
Authors: Ganesan SelvaKumar , Taneja Ashu , Saluja Nitin , Abualigah Laith
Published: July 2023

Electroporation refers to a microbiological method which involves application of electric field to cells for ameliorating the cell membranes permeability, allowing electrode arrays, drugs and chemicals to be inserted into the cells. This process requires HV pulses or signals for creating pores within the cell membrane. As these signals are less effective, nowadays, Pulse Width Modulation (PWM) signals are extensively employed for electroporation. These signals can be exploited for constructing coveted output voltage in power amplifiers and are found to be useful for regulating power devices. Therefore, generation of top quality PWM signals is essential for achieving superior electroporation performance. Different PWM methods are available and circuit topologies employed for generating these waveforms are also different. This paper thus provides an exploratory study of distinct circuit topologies exploited for generating PWM waveforms. The review paper also provides the significance of PWM signals for electroporation. It reviews the existing circuit topologies exploited for PWM signal generation and other related studies. It also presents a circuit for PWM waveform generation. The paper then provides the substantial future directions pertaining to the study. This review article mainly educates the reader regarding existing circuit topologies for PWM signal generation, their characteristics and improvements required for developing better topologies satisfying the requisites of modern applications.
Handwritten Digit Recognition Based on the MNIST Dataset under PyTorch
Authors: Wang Ruwei
Published: July 2023

Thanks to advancements in machine learning and artificial intelligence techniques, computers can now practice on data and learn from it in a manner that is similar to how the human brain works. Handwritten character and number identification has been one of the most pressing and fascinating subjects in pattern recognition and image processing. One of the most urgent and intriguing topics in pattern recognition and picture processing has been the identification of handwritten characters and numbers. As a crucial part of artificial intelligence, handwritten digit identification technology provides a vast array of application possibilities. The data demonstrates that, even though handwritten numbers are simply created with a few straightforward strokes, the appearance of numbers is more variable due to the various writing styles of each person. In this study, a deep learning framework-based upgraded LeNet-5 convolutional neural network model is used to build a handwritten number recognition model in Python. Automatic recognition of handwritten numbers will become the standard recognition technique if it can be applied to a wide range of industries, including banking and accounting, and hence save human costs.
The Study of Performance Related to Classical Convolutional Neural Networks in the Field of Facial Emotion Recognition
Authors: Liu Yanxiao
Published: July 2023

Facial expression recognition is a challenging task that has received much attention in the past decade. This paper presents a rigorous examination of state-of-the-art Convolutional Neural Network (CNN) architectures, encompassing VGG, ResNet, MobileNet, and DenseNet, applied to the task of facial expression recognition using the FER2013 dataset. The study delineates the distinct advantages and disadvantages of each architecture with respect to performance, parameter efficiency, and computational complexity, thereby providing valuable insights into their suitability for specific applications. The selection of an appropriate CNN architecture for facial expression recognition is contingent upon the particular requirements and constraints inherent to the application. As such, the paper advocates for a nuanced approach in determining the most suitable architecture, taking into consideration factors such as computational resources, model complexity, and desired accuracy. In conclusion, the paper calls for future research endeavors to concentrate on exploring innovative architectural designs, optimizing training methodologies, and addressing the unique challenges that facial expression recognition poses. By advancing the state-of-the-art in CNN architectures and training techniques, researchers can contribute to further improvements in model performance and expand the range of their real-world applicability. Such advancements would not only benefit the field of computer vision, but also impact numerous practical applications, ranging from human-computer interaction to emotion analysis in various domains.
The Innovations Made on the RSA Cryptosystem Using the Eulers Totient Function
Authors: Han Dongfu
Published: July 2023

Cryptography has been invented for thousands of years as an important tool to safely transfer sensitive messages. Nowadays, cryptography has already become an essential component of our society. The RSA cryptosystem, a widely used cryptosystem in our current online system, is a safe but time-consuming method. Eulers totient function, in the modular arithmetic that the RSA is based on, plays an important role and has strong potential to be applied with other cryptosystems to make innovations on the RSA. This paper will introduce the potential proposed risk of hacking the RSA cryptosystem using Eulers totient function, and how this function can be applied itself or with other ciphers to create more optimized algorithms and methods based on the RSA cryptosystem. The analyzed results show that the current innovations made to the RSA cryptosystems are rarely balanced on time complexity and security levels and need improvements under most circumstances.
Studies Advanced in Weakly Supervised Fine-grained Image Classification based on Deep Learning
Authors: Chen Zhuoxi
Published: July 2023

Recently, the concept of fine-grained classification has arouse much attention., which has aroused heated disscussion of academia and industry. The extraction of picture characteristics in early efforts on fine-grained image classification relied on dense annotations, but acquiring these annotations was time-consuming and labor-intensive. Lately, weakly supervised fine-grained image classification has gradually emerged, which can mainly be separated between techniques using the attention mechanism and techniques using various neural networks. In this paper, focusing on the above two types of frameworks, we first introduce representative algorithms, including their innovation, basic processes, advantages and disadvantages. We then quantitatively compare the results of different algorithms on mainstream datasets, where the attention based methods can achieve excellent accuracy. We finally discuss the existing challenges and future development of the fine-grained classification task, which we believe can provide some new insight for this task.
Studies Advanced in Traffic Sign Detection in Autonomous Driving Scenarios
Authors: Li Hao , Ma Yifei , Yu Jinghao , Zhang Ziyu
Published: July 2023

Traffic sign detection and recognition is a hot research topic in the environmental awareness module of autonomous driving, which aims to build a model of road traffic information and provide a decision basis for driving scheme design. Early traffic sign recognition methods were mostly based on color features, shape features, or multi feature fusion. Thanks to the rapid development of convolutional neural networks, traffic sign recognition methods based on deep learning have continuously made breakthroughs in both accuracy and speed. In this paper, focusing on the four major types of mainstream frameworks mentioned above, we will introduce the latest research progress in traffic sign detection and recognition technology, including the principles, steps, advantages and disadvantages of representative algorithms. In addition, we quantitatively compared the performance of different recognition methods on common data sets. Finally, we discussed the existing problems in traffic sign recognition and its future development direction.
Research on the Application of VR in Education and Gaming
Authors: Ding Haoyang , Zheng Yukang , Li Hongshuo
Published: July 2023

VR in virtual reality technology is a new technology applied in the field of education and gaming in recent years. This article describes the current development of VR in the field of education and games, and demonstrates the diversity of VR technology applications to promote a better understanding of VR technology. First of all, starting with education, this paper expounds that virtual reality education is designed based on educational and teaching objectives. we introduce the performance of virtual reality technology in the field of education. This section describes the important role of virtual reality technology in the field of medical education and classroom education. The challenges in the field of education were discussed. Then it expounds the practical exploration of VR in games and the value of VR in game development. Finally, we analyse some advantages and characteristics of VR games. The article concludes with a summary and outlook for the full text.
The Exploration of AR on Intelligent Packaging
Authors: Zhang Yuang
Published: July 2023

Augmented Reality is a technology that enhances the physical world by adding virtual elements to it, making our physical world more interactive and engaging. AR has been applied to a variety of industries, including education, healthcare, and entertainment. The field of intelligent packaging, on the other hand, is expanding and uses a variety of technologies, like sensors and QR codes, to add value to packaging by improving their usability, convenience, and safety. This essay introduced the use of AR on intelligent packaging. How AR enhance the user experience of a product. Compared the difference between AR + intelligent packaging and traditional packaging and explores the potential of augmented reality (AR) on intelligent packaging. Finally, the paper summarizes and looks forward to the full text.
Food Image Recognition based on ResNet
Authors: Xiong Yiming
Published: July 2023

Image classification has always been one of the basic tasks in the community, which has been widely applied in many fields, such as the food recognition. As the key technology of dining robot, the food image recognition aims to predict the category of food in the given image, which has attracted a lots of research attentions from both the academia and industry. Early efforts of food image recognition mainly rely on the manual features, whose accuracy cannot meet practical application requirements. Thanks to the rapid development of convolutional neural networks, food image recognition based on deep learning has made breakthroughs in both accuracy and speed. In this paper, we propose a food image recognition method based on the ResNet. Extensive experiments demonstrate the effectiveness of our method, which can provide some new insights for the automatic food recognition.
Studies Advanced in Image Classification based on Deep Learning
Authors: Chen Hongwei
Published: July 2023

Accurate and efficient image classification is one of the important research topics in image analysis, and it has also been a research hotspot in the computer vision community.Deep neural networks are increasingly being used for picture categorization and processing in recent years as a result of advancements in machine learning technology.In this article, we introduce the research progress of image recognition technology based on depth learning, including the design ideas, principles, structures, advantages and disadvantages of several depth neural networks. In addition, we quantitatively compared the recognition results of different methods on classic image classification datasets. Lastly, we review some current issues with picture classification and talk about the direction of deep neural network development in the use of image classification technology.
The Advance of Dialogue System with Neural Network
Authors: Ding Kai , Dong Kangyao , Wang Zixiao
Published: July 2023

With the rapid reform of artificial intelligence, the dialogue system as an important branch of artificial intelligence has also developed greatly in recent years. However, dialogue systems also face many challenges, and accurate and well-sampled training data in dialogue systems is often not readily available. How to use the relationship extraction model based on meta-learning from a small number of samples to improve the accuracy of the relationship prediction method on few-shot learning training data. In addition, this article also explores methods of data compression, summarizing previous compression methods in different ways and related work. At the same time, the application of data compression in the dialogue chat model is also studied. The comparison before and after data compression is carried out to make the dialogue chat model maintain the original answer quality when the data part is reduced, and how to use knowledge graph and reinforcement learning to improve the answer quality of the dialogue system after data compression.
The Advance of Multi-Round Dialogue System with Deep Learning
Authors: Hu Qilin , Yang Yuxuan , Zhang Yiming , Zheng Jiaju
Published: July 2023

Multi-turn dialog systems have seen significant advances in recent years, driven by various approaches. The Multi-layer Semantic Method, Reinforcement Learning Method, Knowledge Graph Method, and Medicine Knowledge Graph Method have all shown promising results in advancing the state-of-the-art in this field. However, challenges remain in developing models that can handle complex and diverse user inputs and generate responses that are not only informative but also engaging and natural. Further research is needed to address these challenges and advance state of art in multi-turn dialogue systems. This paper reviews four critical methods for improving the quality of multi-turn dialogue systems: Multi-layer Semantic Method, Reinforcement Learning Method, Knowledge Graph Method, and Medicine Knowledge Graph Method. The Multi-layer Semantic Method utilizes multi-layer neural networks to model dialogue context and generate responses with improved coherence and relevance. The reinforcement Learning Method employs a reward-based approach to optimize response generation by training models to maximize long-term dialogue success. The knowledge Graph Method incorporates external knowledge sources, such as knowledge graphs, to enrich the dialogue context and improve response quality. The Medicine Knowledge Graph Method focuses on integrating medical knowledge into dialogue systems for healthcare applications. Each of these methods has demonstrated promising results in enhancing the quality of multi-turn dialogue systems.
A Study of Real-Time Advertising Bidding Based on Reinforcement Learning
Authors: Zhang Jiayuan
Published: July 2023

The purpose of real-time bidding (RTB), which has grown to be a significant component of Internet advertising, is to properly forecast the likelihood of a user clicking on an ad and choose the best bid for that impression. Reinforcement learning (RL) has emerged as a promising approach for RTB bidding strategies due to its ability to learn from feedback and optimize performance over time. This paper surveys RL-based real-time advertising bidding, introduces several main reinforcement learning-based real-time advertising bidding strategies, and explains the advantages of each of these strategies. Furthermore, the author analyzes the current trends and which strategies are combined and why. Overall, this survey sheds light on the potential of RL-based bidding to enhance the effectiveness and efficiency of RTB advertising while also offering information about the current state of the field and future research directions.
PNLD e a qualidade dos livros de língua portuguesa no ensino médio (2012 – 2018)
Authors: Perioli Jr. Eduardo
Published: July 2023

Este artigo busca elucidar a construção de critérios de qualidade e excelência em  livros didáticos de língua portuguesa, utilizados no ensino médio brasileiro, principalmente nas escolas públicas, entre os anos de 2012 e 2018. A investigação é feita com base na análise dos guias de avaliação dos livros em ambos os anos, descobrindo critérios e a mudança proposta entre as Organizações e Parâmetros Curriculares Nacionais (OCN/PCN) vigentes em 2012 e a Base Nacional Comum Curricular (BNCC) de 2018. Ao instituir tais critérios, em consonância com as reflexões de Chartier (1990), Choppin (2004), Munakata (1997), Silva e Correia (2004) e Soares (2004), o PNLD nos mostra como ele e os outros documentos, em cada momento, impõe uma certa ordem aos livros, estabelecendo suas condições e usos, além de adotar os critérios curriculares de língua portuguesa através dos respectivos eixos de ensino: leitura, escrita, oralidade, literatura e conhecimentos linguísticos. O presente estudo acaba por revelar uma ideia de continuidade dos processos, com certos desenvolvimentos, de acordo com a mudança dos documentos, além de uma incessante busca por inovação e presença de um monopólio editorial.
vozes enunciativas em relatórios de estágio supervisionado: o trabalho docente revelado por meio da linguagem
Authors: Lima Denilson Cícero Farias de , Dias Sandra Maria Araújo
Published: July 2023

O objetivo é analisar como a atividade docente é revelada em relatórios de estágio produzidos por professores iniciantes no Estágio Curricular Obrigatório do Curso de Licenciatura em Letras – Língua Inglesa (EaD). A fundamentação está baseada no Interacionismo Sociodiscursivo (BRONCKART, 1999a, 1999b, 2006, 2009), construto teórico-metodológico que define a linguagem como central para o desenvolvimento humano, e na Ergonomia (AMIGUES, 2004), ciência que estuda o ensino na perspectiva da análise do trabalho. O corpus é composto por três relatórios produzidos para a disciplina de Estágio Supervisionado II, ofertada pela Universidade Aberta do Brasil em parceria com uma Instituição de Ensino Superior, situada na Paraíba. O presente trabalho configura-se em uma pesquisa documental de abordagem qualitativa. Como procedimentos de análise, fizemos o mapeamento dos elementos que representam o trabalho docente, a identificação e a análise das vozes enunciativas (BRONCKART, 1999b), e o que refletem sobre o trabalho prescrito, o trabalho realizado e o trabalho real (CLOT, 1999). Os resultados mostraram que o trabalho dos professores iniciantes é retratado, nos relatórios analisados, por meio da voz do narrador ou expositor, a voz dos personagens, as vozes sociais e a vozes dos autores dos textos, as quais revelam características da atividade docente.
SPATIAL ANALYSIS OF LANDSLIDE HAZARD POTENTIAL FOR DISASTER MITIGATION-BASED SPATIAL PLANNING IN THE CITY OF SABANG
Authors: Razali Amna  , Syamsidik  , Muksin
Published: July 2023

The geology and topography of Sabang City has the characteristics of areas that have the potential for landslides. This study analyzes the potential for landslide hazard to spatial planning as a disaster mitigation effort. Identification of potential landslide hazards using a geographic information system (GIS), based on the assessment and weighting of the factors that cause and trigger landslides. The results of the analysis of the level of landslide hazard potential are prepared by a landslide hazard map based on the influence of each parameter that causes landslides. The results of the analysis show that the area with a high landslide hazard potential of 8.98% or 1,114.60 Ha in Suka Jaya District. The area of ​​moderate landslide hazard potential is 85.73% or 10,639.88 Ha covering Suka Jaya and Suka Karya Districts. The results of a comparison of high landslide hazard potential with spatial patterns show that high landslide hazard potential is found in spatial patterns of dense settlements of 23%. Mixed plantation area 13%, protected forest 12%, tourist area 12%, residential area 11%, industrial area 7%. The results of the research are expected to be taken into consideration in the spatial planning of Sabang City, to apply the Regulation of the Minister of Public Works Number 22/PRT/M/2007 concerning Guidelines for Spatial Planning for Landslide Disaster Areas in Areas with High potential for landslide hazard. industrial area 7%. The results of the research are expected to be taken into consideration in the spatial planning of Sabang City, to apply the Regulation of the Minister of Public Works Number 22/PRT/M/2007 concerning Guidelines for Spatial Planning for Landslide Disaster Areas in Areas with High potential for landslide hazard. industrial area 7%. The results of the research are expected to be taken into consideration in the spatial planning of Sabang City, to apply the Regulation of the Minister of Public Works Number 22/PRT/M/2007 concerning Guidelines for Spatial Planning for Landslide Disaster Areas in Areas with High potential for landslide hazard.
PRINTING BUSINESS PRODUCTION DEVELOPMENT PROCESS STRATEGY (CASE STUDY OF PRINTING UKM NOVA FLORIST AND ADVERTISING, LHOKSEUMAWE CITY)
Authors: Zainuddin Iba  , Abdur Rasyid Zasri  , Durrah Safira  , Ifvac Vara Azzerah  , Riska Munanda
Published: July 2023

Micro, Small and Medium Enterprises (MSMEs) have a strategic role in national economic development, because apart from playing a role in economic growth and employment, they also play a role in distributing development results. In the economic crisis that occurred in our country several years ago, where many large-scale businesses experienced stagnation and even stopped their activities, the Micro, Small and Medium Enterprises (MSMEs) sector proved to be more resilient in dealing with the crisis. However, there are also weaknesses in MSMEs, namely accessing information is suspected to be directly related to the condition of the internal factors of MSMEs, which are overshadowed by MSMEs, which actually have a large market share internationally, and are not widely known by consumers.
ANALYSIS OF THE HEALT LEVEL OF THE NASARI SAVING AND LOAN COOPERATIVE IN AN EFFORT TO IMPROVE PERFORMANCE IN THE CITTY OF LHOKSMAWE
Authors: Yulius Dharma  , Aulia Nurul , Dwiyani Uci , Hasan Nadila , Sinta Irada
Published: July 2023

Savings and loan cooperatives generally provide services in order to facilitate the fulfillment of the needs of their members and ensure the welfare of their members. One of the goals of this cooperative is to serve as an alternative means of borrowing money or credit and trying to prevent its members from moneylenders. In the current development, savings and loan cooperatives are more in demand by credit seekers or customers, so that in line with that many Savings and Loans Cooperatives have been established which provide credit or loans to cooperative members without collateral, even though in banking principles every loan extension is always accompanied by a guarantee. This type of research uses qualitative methods. The population of the type of research conducted is research on a particular object by interviewing it at a certain time. The results of this study indicate that it is very easy to implement a credit agreement or save a loan at the Nasari Cooperative for retired civil servants. The agreement is made with the condition of a pension certificate scan. The Nasari Cooperative only makes special requirements for retirees who want to borrow to have a business. The purpose of this research is to provide an analysis of the soundness level of the Nasari Savings and Loans Cooperative in an effort to improve performance in the city of Lhoksmawe. Also, to know how the principle of operation is carried out by the cooperative. According to the results we examined and the conclusions we got are: KSP NASARI SYARIAH LHOKSEUMAWE is a financing institution for retirees, where they only provide credit financing for retirees who work at the post office and at banks which only work with the Nasari savings and loan cooperative. Credit financing by using a pensioner's scan and not serving general loans such as house certificates.
STUDY ON EFFECTIVE MARKETING STRATEGIES TO INCREASING ACTIVE USERS OF THE SITRAB APPLICATION OF PUPR SERVICE OF WEST ACEH
Authors: Jhony Howord  , Cut Mega Putri
Published: July 2023

In today's digital era, it is an obligation for the Government to provide information digitally and easily accessible to the public. However, many applications developed by the Government do not last long in the market due to the lack of an effective marketing strategy. Therefore, this research is expected to find out effective marketing strategies to increase the number of active application users. The case study was carried out on the application of the West Aceh Spatial Information System (SITRAB) which is an application under the auspices of the West Aceh Public Works and Spatial Planning (PUPR) office. The method used by the author in this study is a qualitative method. The results of this study indicate that effective marketing strategies to increase the number of active application users include promotions through social media, marketing personalization, and viral marketing. In addition, this study also shows that the factors that influence application adoption include ease of use, accuracy of information, and features offered. This research is expected to provide benefits for application developers in increasing the number of active application users through an effective marketing strategy.
COLONIZATION'S LINGERING INFLUENCE: EXAMINING THE IMPACT ON INDIAN ENGLISH LITERATURE
Authors: Zubair Farooq  , Dr. Premchandar P
Published: July 2023

India is a rich site for studying intertextuality and influence due to its contemporary and colonial history of postcolonial culture. British imperialism in India was more pragmatic than other colonial powers, being motivated by economics rather than evangelism. During the emergence of Orientalism, India was the first nation to have a literary impact on the West, but this equation was reversed during colonial intervention. While some critics denounce or acclaim the West's effect on India, Indian writers' responses show complex instances of intertextuality and influence in the form of reception. The literary movement in India has been shaped by the traditional attitudes, culture, social life, and politics of the local people. British rule in India lasted for more than two hundred years and its authority halted the ruling power of the Indian subcontinent. The impact of British colonialism on Indian literature and social life is evident. Understanding English literature history is crucial for understanding English people's way of life, including their educational, social, and cultural attitudes. This research paper examines in detail the effect of colonial rule on English literature in India.
TRADE AND GROWTH IN INDIA: AN ANALYSIS OF THE RELATIONSHIP AND ITS IMPLICATIONS
Authors: Irshad Ahmad Reshi  , Dr T. Sudha
Published: July 2023

This research paper examines the relationship between trade and economic growth in India. India is one of the fastest-growing economies in the world and has witnessed a significant increase in trade over the past few decades. The paper analyzes the impact of trade on growth in India, focusing on both the theoretical and empirical aspects. It also discusses the challenges faced by India in the context of international trade and the policies required to ensure sustainable economic growth. Trade and economic growth have been closely intertwined in India over the past few decades, with India emerging as a key player in the global economy. This abstract provides an overview of the relationship between trade and growth in India, highlighting key trends and factors that have influenced the country's economic development.
THE ROLE AND POSITION OF SOCIAL SCIENCES ON CHARACTER EDUCATION IN THE INDEPENDENT CURRICULUM
Authors: Marsini
Published: July 2023

Social Sciences (IPS) is an instructive program that has materials Training from different disciplines of Social Sciences and Mankind (Schooling and history) coordinated and introduced logically and mentally with the end goal of instruction in view of Pancasila and Indonesian Culture. IPS too can be said to be a fusion or fusion of various subjects social so in friendly examinations subjects use parts certain from the social sciences. On a fundamental level, social examinations training in primary schools doesn't show the Social Sciences as disciplines, yet rather conceptualizes the quintessence of the Social Sciences to shape understudies into residents productive member of society. Accordingly as a work in character building, So there should be congruity with the way of life of this country. The implementation is not solely carried out in schools through a progression of learning exercises instructing, yet can be held a progression of self-improvement exercises that did beyond school.Habituations in life, For example, strict, genuine, trained, open minded, diligent, harmony adoring, dependable, participation, fair and mindful,it needs to start from the smallest scope such as family up to a wider scope in society. Values This certainly needs to be developed which in the end can shaping the personal character of students which further constitutes a reflection of the life of a nation.
RESTRUCTURING, MERGER AND ACQUISITION
Authors: Nurhayati  , Hasan  , Andri Buang  , Chairil Anwar  , Fetty Herlina  , Lukmannulhakim Putra  , Indrayani  , Muammar Khaddafi
Published: July 2023

Companies need to develop an appropriate strategy in order to maintain its presence and improve its performance. One attempt to become a large company and strong is to implement the strategy of restructuring. The emergence of the free market era has an impact on increasingly fierce corporate business competition. This condition spurred business people to pay attention to the strategy pursued. In fact, the company continues to formulate and perfect its business strategy in order to win the competition. The realignment of restructuring the company`s capital structure can execute through mergers and acquisitions. This research aim is to review the importance of merger activity and investment in terms of objectives and benefits. Methods used a literature review and secondary data. The research suggests that a company merger and acquisition support operation. There is good financial synergy and diversification, achieves economy of scale and scope that leads to cost efficiency and profitability, can obtain management skills, improve market forces, and may also be tax benefits. Because of that, the merger and acquisition were selective to enhance the company`s performance.
ECONOMIC GOVERNANCE AND PUBLIC FINANCE IN KAUTILYA'S ARTHASHASTRA
Authors: Rashid Manzoor Bhat
Published: July 2023

The study attempts to explore the Arthashastra, an ancient Indian treatise on public finance, authored by Kautilya around 300 BCE during the Mauryan period. The Arthashastra covers a wide range of topics including administration, politics, ecology, and economics, providing insights into the economic and political conditions of that era. The treatise emphasises the importance of treasury management, revenue generation, and expenditure allocation for the well-being of the state and its citizens. It enumerates seven sources of revenue, including income from crown property, state-controlled activities, taxes, trade, fees and service charges, fines, and miscellaneous sources. The Mauryan state, guided by the principles of the Arthashastra, established a centralised and efficient administration with specific officials responsible for revenue collection and management. The study also explores the significance of fraud prevention, accounting, auditing, and budgeting in public finance. The Arthashastra serves as a valuable historical document, offering inspiration and guidance for modern public finance, emphasising the balance between state management and the welfare of the people.
THE CONTROVERSIAL TOKEN CURRENCY OF MUHAMMAD BIN TUGHLUQ: A HISTORICAL ANALYSIS
Authors: Zumeer Ahmad Sofi
Published: July 2023

In this study, an attempt has been made to explore the historical significance and legacy of the token currency introduced by Muhammad bin Tughluq during his reign as Sultan of Delhi from 1325-1351. An audacious economic reform, the token currency aimed to ease the strain on the state treasury due to expansive military campaigns and territorial expansion. Notwithstanding, the revolutionary system underpinned by copper and brass coins, intended to supplant traditional precious metals, failed due to the lack of public trust and widespread counterfeiting. Despite its failure, this experiment represented an integral part of a broader socio-economic and cultural evolution. Tughluq's reign witnessed numerous reforms and ambitious projects like the shifting of the capital to Daulatabad and extensive irrigation projects, laying the foundation for the development in the Deccan region. Lessons from this experiment, such as the necessity of public trust, a robust infrastructure, and strong security measures, continue to be relevant for contemporary monetary practices and reforms, particularly in light of debates surrounding the digitization of money and the advent of crypto currencies.
ANALYSIS OF HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY ON ECONOMIC GROWTH IN INDONESIA
Authors: Rizky Amanda Yusnuri  , Jariah Abubakar
Published: July 2023

The purpose of this study is to see and analyze how much influence the Human Development index, Unemployment and Poverty on Economic Growth in Indonesia. The data used in this study is secondary data obtained from related agencies over a period of 16 years (2006 - 2021). To achieve the results of this study, multiple linear regression analysis was used using the EViews 10 program. The results of this study simultaneously showed that the Human Development Index variable had no effect on Economic Growth, then the Unemployment variable had a negative and significant effect on Economic Growth, and the Poverty variable positive and significant effect on economic growth. Simultaneously, the Human Development Index, Unemployment and Poverty variables have significant and significant impact on economic growth.