bluuebunny/crossref_metadata_2025 huggingface dataset:
Adapting to the AI Era: Higher Education's Opportunities and Challenges with ChatGPT
Authors: Lin Ying
Published: March 2024

As AI technology continues to evolve, higher education is facing profound changes. Driven by this change, advanced chatbots such as ChatGPT, as representatives of AI, have gradually become a focus of attention in higher education, triggering academic discussions on how to better integrate these technologies to facilitate learning and teaching. This paper aims to systematically grasp the opportunities and challenges of ChatGTP in higher education to explore in depth its positive role in academic support and teaching support for students and teachers. However, the challenges posed by the ChatGPT technology, which comes with opportunities, include academic integrity, information accuracy and reliability. At the same time, a number of potential solutions are presented, such as raising awareness of the advantages, limitations and potential risks of AI models, developing students' digital skills, and investing in research and development to improve transparency and control. Along with adapting to the age of AI, higher education needs to constantly explore new assessment models and teaching methods to better respond to developments in technologies such as ChatGPT.
Analysis of Dependent Personality Disorder and Family Therapy
Authors: Chen Yale
Published: March 2024

Dependent Personality Disorder (DPD) is a mental health condition characterized by an excessive need for others' approval and a strong reliance on others for emotional and psychological support. People with DPD often struggle with making everyday decisions, experience fears of abandonment, and have difficulty initiating tasks independently. Family therapy, a branch of psychotherapy, has gained increasing recognition as an effective approach for individuals with Dependent Personality Disorder. Family therapy focuses on not only the individual but the family system as a whole. This study employs a literature research method to investigate the intricate relationship between DPD and Family Therapy, including some case studies about DPD and family therapy, meanwhile analyzing the interaction between them. Ultimately, the findings strongly affirm that considering aspects such as childhood experiences, preventative measures, and the patient body of DPD, the synergy between DPD and family therapy significantly influences human beings daily lives.
Exploring the Current Situation and Path of Education Management for International Students in China Majoring in Arts
Authors: Yang Fan
Published: March 2024

With the development of national higher education, international student education in China has gradually entered the stage of improving quality and efficiency. The students majoring in arts are a small part of the whole international student education market, although there are many researches and achievements on the education management of international students in China, there is very little attention and research on the management of international students majoring in arts. This paper shows that the number of students is less, their Chinese language ability is weak, but because of the characteristics of their professional study, this group of students has strong practical and cultural communication abilities. Based on this, the paper hopes to find some ways for the current problems in the education and management of international students majoring in arts in China by searching for policy support from the government, making clear the school orientation precisely, strengthening the construction of internal management system in schools, and creating a professional and vocational international student education and management team.
Analysis of Issues Related to the Development of Special Education
Authors: Wang Haoxuan
Published: March 2024

Since the last century, China has pursued an inclusive educational strategy to facilitate access to education for special groups. This paper discusses the emergence and benefits of inclusive education in China. The government has been gradually enhancing the system of training special teachers through legislation and policies since the end of the last century. Furthermore, considerable endeavors have been invested in securing the educational entitlement of students with special needs and promoting educational equality for this population. Inclusive education not only provides opportunities for students with disabilities to achieve better performance in both school and community but also enhances cognitive competence for students without disabilities. However, inclusive education also faces challenges such as not rigorous enough enforcement, restricted facilities as well as teaching resources and social prejudice in its expansion. Ultimately, this paper suggests that clearly defined institutional responsibilities, an optimized funding system and the elimination of social prejudices contribute to the execution of inclusive education.
Countermeasures for Enhancing User-Generated Content on Short Video Platforms Through Recommendation Mechanisms
Authors: Mingxin Xue
Published: March 2024

The proliferation of short video applications and platforms has paralleled the growing popularity of this media format. In the increasingly competitive landscape of short-form video, companies have adopted numerous strategies to expand their market share, retain active users, and ensure sustainable platform operations. Among these strategies, one of the most pivotal is the utilization of recommendation mechanisms and algorithms to personalize video suggestions for users. For platform users, the additional traffic and exposure facilitated by recommendation mechanisms present a valuable opportunity for their videos to reach a wider audience. This paper delves into the characteristics and commonalities of user-generated content on video platforms influenced by recommendation algorithms, and examines the strategies employed by video creators to harness the increased traffic and exposure provided by these mechanisms, as well as the dynamics between users and the platform. We have randomly selected video data from the "Beeping Beeping" pop-up website for analysis. The study also scrutinizes the actions taken by video producers to exploit the resources and opportunities provided by the recommendation mechanism. Furthermore, it explores the interactions between users and the platform. To carry out this research, we selected a sample of twenty random videos from each of the ten video producers who boast a substantial fan base on the "Bleeping.com" website. While the recommendation mechanism simplifies the user experience, it simultaneously offers varying resources and opportunities to different users. Users who comprehend the platform's recommendation guidelines and underlying algorithms can proactively leverage the mechanism to aid in video creation and dissemination. This approach enables them to actively promote high-quality user-generated content on the video platform during the video creation and upload phases.
Digital Financial Inclusion and Enterprise Technological Innovation
Authors: Yang Ting
Published: March 2024

This study investigates how SMEs' creative activities are impacted by digital financial inclusion. Small and medium-sized businesses face severe funding constraints, and scientific and technical innovation struggles to advance quickly due to information asymmetry, regional development imbalance, and other issues. The dominating element of the current growth of inclusive finance, digital inclusive finance, may address these concerns through theoretical and empirical research. Despite the fact that digital inclusive finance is still in its infancy and that there are issues with the law, risk management, trust, and other areas, accelerating the development of digital inclusive finance, easing the financial restrictions on SMEs, and enhancing the drive for scientific and technological innovation can all help to promote the innovative development of SMEs. Based on the influence of SMEs' technology innovation from the perspective of digital inclusive finance, this paper analyzes the influence of technology innovation by using the multiple linear regression model of time series. Empirical analysis shows that the digitalization of digital inclusive finance has a significant positive impact on small and medium-sized enterprises' scientific and technological innovation, significantly the higher the digital support and coverage breadth index, the more pronounced the incentive of scientific and technological innovation. Considering the impact of regional differences, the paper puts forward relevant policy suggestions, including improving laws and supervision, establishing a mature credit investigation system, and strengthening risk management and the digital divide. Through these measures, digital inclusive finance can better support the financing and development of SMEs and promote scientific and technological innovation and the development of the national economy.
Research on the Integration Degree of New Employees in Enterprises
Authors: Tao Chen , Ke Wang , Dandan Wu
Published: March 2024

The new employee is the fresh blood of the enterprise, is the new power of the enterprise development. Especially for traditional manufacturing enterprises, the staff is generally older, lack of work passion and vitality, more urgent need for the integration and joining of young new employees. However, how to make new employees adapt to the new environment and integrate into the new collective quickly, give full play to the potential and value of new employees faster and to a greater extent, and let new employees enter the role as soon as possible is an issue that enterprises should study and think about.The purpose of this paper is to explore how to improve the integration of new employees. According to the theoretical basis and practical experience of domestic and foreign scholars, combined with objective data to show the integration of new employees, and then in-depth analysis of the factors affecting the integration of new employees. Focus on recruitment, training, compensation system and humanistic care and other aspects to find out the problems and countermeasures. Thus, the integration degree of new employees can be improved, and at the same time, the human resources management of new employees in the whole enterprise can provide a certain reference.
Applying self-attention model to learn both Empirical Risk Minimization and Invariant Risk Minimization for multimedia recommendation
Authors: Zhao Hanyu , Huang Yangqi , Zhao Kunqi , Wang Sizhuo
Published: March 2024

Multimedia recommendation systems have many applications in our daily life. However, how accurately capture a customer's preference is an issue that is difficult to deal with. The proposed Invariant Risk Minimization (IRM) and Empirical Risk Minimization (ERM) are ways to learn a customer's preference. Still, both frameworks show some limitations: although ERM performs excellently in a single environment, it fails to generalize well when faced with multiple and new domains. On the other hand, IRM learns invariant features across heterogeneous environments, but it lacks theoretical guarantees and performs less effectively where the invariants are unclear. This paper proposes an ERM and IRM Optimized Rating Framework (EIOR) as our final recommender model with direct rating scores. The EIOR enhances the accuracy and functionality of the multimedia recommendation systems by utilizing self-attention mechanisms to combine IRM and ERM with adjusted attention weights. Specifically, IRM learns invariant parts across different environments, while ERM learns variant parts. With self-attention, we can adaptively allocate attention weights for the two pieces and seek the optimal pair of attention weights based on the loss function. We demonstrate EIOR on a cutting-edge recommender model UltraGCN and use the open multimedia dataset of TikTok to finish all the experiments. The results validate the effectiveness of EIOR by comparing purely operating invariant representations alone with the framework of IRM.
Exploring the relationship between users characteristics and movie recommendations using a KNN-based recommender system
Authors: Hu Muhao , Xiao Wufan , Li Yuzhang
Published: March 2024

The central aim of this research is to elucidate the degree to which demographic variables, including but not limited to age and gender, bear on the performance of movie recommendation algorithms within film recommendation systems. Further, we endeavor to uncover any existent correlations between these user characteristics and the resultant outputs of such systems. Leveraging the expansive dataset available via MovieLens, we employ a linear regression model to ascertain the four critical variables (age, gender, occupation, and the average user rating for films previously watched) that have the most profound influence on movie recommendation algorithms. Once these salient factors have been determined, we assign their respective weights and incorporate these into a KNN algorithm. We then subject the resultant model to rigorous testing to verify the accuracy of our results and to ascertain whether the integration of these weighted elements enhances the overall precision of the movie recommendation system. While extant literature predominantly focuses on the amalgamation of KNN with other algorithms, our study charts a novel course by using linear regression. This methodology allows us to intuitively illustrate the relationship between user demographics and the movie recommendation system and enables us to evaluate whether emphasizing certain characteristics can augment the system's effectiveness. Our findings suggest that of all the user characteristics examined, the mean of users ratings for movies previously watched exerts the greatest influence on the outputs of the movie recommendation system. Moreover, incorporating weights reflective of the average user ratings across all movie features within the KNN algorithm can significantly bolster the accuracy of the resultant movie recommendations.
Efficient vehicular networks offloading using Hybrid Localization Algorithm and Deep Reinforcement Learning
Authors: Peng Yankai , Wang Zhiyuan , Li Hailin , Dong Ning
Published: March 2024

In the context of growing urbanization and increased vehicular traffic, the demand for efficient computation and location-based services is paramount. This paper proposes a pioneering solution to address the challenges of precise location services in Vehicular Networks within urban settings. The system combines a Hybrid Localization Algorithm (HLA) that integrates multiple methods for improved location accuracy with Deep Reinforcement Learning (DRL) for intelligent and adaptive offloading decisions based on real-time traffic conditions. Extensive simulations demonstrate the effectiveness of our approach in reducing response times, optimizing offloading strategies, and alleviating the burden of urban peak vehicle navigation pressure. This research paves the way for enhanced location-based services and intelligent transportation systems in urban areas.
Comparative analysis of VGG, ResNet, and GoogLeNet architectures evaluating performance, computational efficiency, and convergence rates
Authors: Zhang Xiao , Han Ningning , Zhang Jiaming
Published: March 2024

This paper conducts an in-depth comparative analysis of three foundational machine learning architectures: VGG, ResNet, and GoogLeNet. The focus of the evaluation is their performance metrics on the CIFAR-100 dataset, a widely adopted benchmark in the field. Employing a comprehensive set of evaluation metrics, this investigation assesses not only testing accuracy but also the rate of training convergence and computational efficiency, providing a holistic perspective on the architectures' capabilities. Through rigorous experimentation, we elucidate the inherent advantages and drawbacks associated with each of these architectures. For instance, our findings delve into the nuances of how different architectures fare in terms of computational resources, which is vital for deployment in resource-constrained environments. Additionally, this study extends the analysis to explore the effect of hyperparameter settings, particularly learning rates, and the utility of data augmentation techniques in modulating the overall performance of each architecture. The ultimate objective is to furnish empirical insights that will assist researchers and practitioners in making well-informed choices when selecting a machine learning architecture for their specific application requirements.
Teknologi RANCANG BANGUN DRONE AIR DENGAN REMOTE CONTROL MENGGUNAKAN SISTEM BALLAST TANK
Authors: Widiatmoko Dekki , Akbar Ali
Published: March 2024

Ekplorasi air yang dilakukan di Indonesia rata – rata sebatas di permukaan air. Eksplorasi dibawah air sangat jarang dilakukan. Pelaksanaan ekplorasi di bawah air masih menggunakan cara konvensional. Sehingga hasil yang di dapat kurang maksimal. Untuk itu penggunaan robot perlu dilakukan dalam eksplorasi bawah air. Dalam hal ini peneliti akan mengambil judul Rancang Bangun Drone Air Dengan Remote Control Menggunakan Sistem Ballast Tank. Robot adalah suatu system mekanik0 yang 0mempunyai 0fungsi gerak0 analog0 untuk0 fungsi0 gerak0 organisme0 0hidup, 0atau kombinasi0 dari0 banyak0 fungsi0 gerak0 dengan0 fungsi0 intelligent0. Robot0 yang0 dapat0 0bergerak (mobile0 robot0) 0dapat 0dikelompokkan 0lagi 0menjadi 0tiga 0yaitu 0robot 0daratan (ground0 robot0), robot0 air/drone0 air0 (under0 water0), dan0 robot0 terbang0 (aerial robot). Robot 0bawah 0air dibuat0 memiliki0 pusat0 pengendali0  arduino0, perangkat0 masukan0 berupa0 remote 0control 0tanpa 0kabel  0dan 4 0buah motor0 brushless0 yang0 dikendalikan0 ioleh0 iESC0  (ielectronic ispeed icontrol)0. 0Metode 0penelitian yang0 digunakan0 metode eksperimen pengujian kecepatan, robot dapat bergerak maju, mundur, menyelam,  naik ke permukaan, berbelok kekiri atau kekanan. Dalam penelitian ini dilakukan pengujian  kedalaman penyelaman robot serta pengujian kamera yang dapat menampilkan video secara langsung. Penelitian robot ini  mendapatkan hasil penyelaman terdalam yaitu 1 meter dalam  kolam renang Pada penelitian ini diharapkan robot ini dapat memantau keadaan musuh di perairan.
Art as “The Third Skin”:
Authors: Berger Shira
Published: March 2024

This article explores the potential of using art-based research to analyze repetitive paintings made after trauma, to understand psychological mechanisms that stem from the body. To this end, I propose a multi-disciplinary approach combining psychoanalysis and art, to describe the concept of the “third skin,” as a psychological-spatial repetitive mechanism originating in the body and stiving towards healing, which is activated following trauma and manifested materially in art. The foundation for this lies in a spatial etiology that I have identified in trauma, which I have named “spatial repetition,” and which provides the basis for a methodology that enables to see repetitive artwork as a visual embodiment of repetition in trauma, as well as a lens through which to understand it.
An Analysis of Participant Preferences Regarding Virtual Versus In-person Format of Orthopaedic Surgery Educational Materials in Low- and Middle-Income Countries
Authors: Flores Michael J. , Brown Kelsey E. , MacKechnie Madeline C. , O’Marr Jamieson M. , Rodarte Patricia , Shearer David W.
Published: March 2024

Introduction:

The University of California, San Francisco Institute for Global Orthopaedics and Traumatology Surgical Management and Reconstructive Training (SMART) course has instructed orthopaedic surgeons from low-resource countries on soft-tissue reconstruction. Before the COVID-19 pandemic, the course was conducted in-person; however, it was transitioned to a virtual format during the pandemic. The aim of this study was to determine participant preferences regarding a virtual or in-person SMART course format.

Methods:

Survey data were collected via e-mail after each SMART course using RedCap or Qualtrics. Statistical analyses were conducted using Stata.

Results:

There were 247 survey respondents from 44 countries representing all world regions, with Africa (125, 51%) the most represented. Of those who attended both an in-person and virtual course, most (82%) preferred the in-person format. In addition, all measured course outcomes were significantly better for participants attending the in-person course. The most common reason for not attending an in-person course was the cost of travel (38, 51%).

Discussion:

This study demonstrated a preference toward in-person learning for the SMART course. In addition, those surgeons participating in the in-person course endorsed increased positive outcomes from the course. Increased emphasis should be placed on in-person surgical skills training for low-resource surgeons.
Navigating Covid-19 Challenges – How Physical Education Teachers Skillfully Applied Their Expertise
Authors: Mokyat Daw-as Dennis , Osben Pelila John Rey
Published: March 2024

Physical education (PE) is challenging to teach in a face-to-face setup due to its rigorous physical activities (PA). This challenge intensified with the onset of the COVID-19 pandemic, prompting a shift toward exclusively adopting distance learning education (DLE) or online education (OE). Since there is a lack of elaboration on the challenges encountered by PE teachers in teaching the subject in such a setup and understanding the solutions they have implemented for its successful delivery, this study reviews available studies to understand this case. Using a systematic literature review (SLR) bounded by inclusion-exclusion criteria, 39 Philippine studies were screened and considered for review. Despite PE teachers confronting a series of challenges and these hurdles demanding a paradigm shift in teaching strategies, particularly in maintaining physical engagement and connection in a virtual setting, these challenges spurred resilience and innovation. In particular, interprofessional collaboration for pedagogical resilience, adaptation of innovative pedagogies, improving technological proficiency, and dealing with remote environments are commendable actions that PE teachers demonstrated in times of DLE/OE. The study concludes that PE teachers demonstrated a commitment to collective success, similar to other subjects, by providing students with a diverse educational journey despite the nature of the subject.
Antimicrobial resistance from one health perspective in the Middle East: A systematic review
Authors: Alkheraije Khalid
Published: March 2024

Background:
Antimicrobial resistance (AMR) is recognized globally as a significant health challenge, but its extent remains unclear in many regions. It is crucial to prioritize a foundational evaluation of AMR prevalence to facilitate the implementation of laboratory-based surveillance. Adopting a One Health perspective, this study outlines the present AMR status in the Middle East.
Aim:
To synthesize the current state of knowledge on AMR in the Middle East, delineate the contributions of different sectors (human health, animal health, and environment), and discern the effectiveness of One Health interventions in mitigating AMR.
Methods:
An exhaustive literature search was conducted via PubMed, ScienceDirect, and Google Scholar. Potential articles were screened and assessed for eligibility based on prescribed eligibility criteria. Data synthesis was done, and the results were reported and discussed thematically.
Results:
Twenty-three studies were included in the study and published between 2019 and 2023. Most studies reveal substantial challenges in treating infections, with a significant prevalence of resistance in critical care units, particularly against ESBL and carbapenem-resistant Gram-Negative Bacteria. Colistin and imipenem resistance in pediatric populations further emphasize the urgency of understanding and addressing diverse resistance mechanisms in the region. Studies on urinary pathogens, bacteremia, and biofilm formation highlight the multifaceted challenge of antimicrobial resistance. The emergence of resistance to key antibiotics emphasizes the urgency for tailored treatment strategies.
Conclusion:
Given the interconnectedness of human, animal, and environmental health, a One Health perspective is imperative. The diverse challenge demands coordinated efforts, including innovative interventions and public health policies. Bridging existing gaps through future research is crucial for evidence-based and context-specific strategies in combating antimicrobial resistance in the region.
ASSISTÊNCIA SOCIAL NO ÂMBITO DO TERMINAL RODOVIÁRIO LUCÍDIO PORTELLA EM TERESINA-PI: UM RELATO DE EXPERIENCIA
Authors: E Silva Gislene Pinheiro , Costa Ana Maria , Fontenele Iolanda Carvalho , Da Silva Marilda Maria Pereira , Fernandes Rosildinar Ferreira de Sousa
Published: March 2024

O objetivo do presente artigo é trazer uma discussão sobre a Assistência Social enquanto política pública e relatar a experiência do trabalho desenvolvido pelo Posto de Atendimento Social no Terminal Rodoviário de Teresina- PI, vinculado à SASC (Secretaria Estadual de Assistência Social, Trabalho e Direitos Humanos). As ações do posto social estão voltadas para indivíduos e grupos familiares, crianças, adolescentes, jovens, adultos, pessoas idosas e com deficiências (PCD’s). O trabalho encontra-se fundamentado nos princípios da garantia de proteção social e acesso a direitos. Considerando os resultados, destaca-se as intervenções de acolhimento, informação e orientação junto ao público, as atividades socioeducativas e os procedimentos no sentido de organizar, de processar e acompanhar os trâmites necessários para assegurar direitos, com destaque para a garantia de passe livre federal e estadual para pessoas idosas e  PCDs, bem como o embarque seguro para crianças e adolescentes.
OS SABERES TRADICIONAIS E A EDUCAÇÃO MATEMÁTICA NA AMAZÔNIA
Authors: Quaresma Eurilene de Oliveira , Nazaré Mailson Lima
Published: March 2024

Este estudo analisa como os conhecimentos matemáticos desenvolvidos na comunidade tradicional ribeirinha Vila Congregação Rio Ubá em Moju podem contribuir para a educação matemática, ou seja, para os processos de ensino e aprendizagens em ambientes escolares. Para o desenvolvimento do estudo partimos da etnomatemática com base em D’Ambrosio (2009), o estudo é de natureza e abordagem qualitativa com referência em Minayo (2012) e a coleta de dados ocorreram por meio de trabalho de campo com observação participante conforme Brandão (2007) e entrevistas semiestruturadas segundo Marconi e Lakatos (2003),  o locus do estudo é a comunidades tradicional de  Vila Rio Ubá em Moju  e os resultados indicam que os conhecimentos e saberes tradicionais da comunidade estão entrelaçados em saberes matemáticos em seus cotidianos de práticas culturais.
Lugares comuns: Televisão e Telecomunicações no México e no Brasil
Authors: Crovi Druetta Delia , Bolaño César , Aragão Santos Verlane , Quibrera Matienzo Enrique
Published: March 2024

El objetivo de este trabajo es presentar un análisis comparativo preliminar de lossistemas de telecomunicaciones y televisión en México y Brasil. Comenzamos con unabreve presentación de la problemática del desarrollo económico en ambos países, enuna perspectiva histórica. A continuación, presentamos la evolución de ambosmercados en los dos países, sus modelos de organización, estructuras einterrelaciones. Finalmente, retomamos el tema de la convergencia para explicitar lasituación real de la competencia interindustrial e internacional en los sectoresconsiderados en las dos principales economías de América Latina.
Apresentação da Revista
Authors: Bolaño César , Martins Helena
Published: March 2024

v. 25, n. 3, set.-dez., 2023
Аналіз публічних угод злиття та поглинання (M&A) у фармацевтичній сфері на основі методу ринкових угод
Authors: Баженова О. В. , Лейфура M. В.
Published: March 2024

Стаття присвячена визначенню оцінці вартості компанії, в контексті угод злиттів та поглинань (M&A) компаній що функціонують в фармацевтичному секторі, з фокусом на виробництві лікарських препаратів. Досліджено використання ринкового підходу до оцінки вартості компанії. Визначення вартості компанії є фундаментальною проблемою, особливо в контексті глобалізації, інтеграції ринків та подальшого економічного зростання. Актуальність визначається глобальними тенденціями M&A угод, які вимагають глибокого розуміння факторів, що впливають на вартість компаній, зокрема географічного розташування та макроекономічних умов. Метою статті є аналіз впливу географічного розташування на оцінку вартості фармацевтичних компаній, використовуючи методи ринкових угод та компаній-аналогів. Проаналізовано застосування кількісних методів аналізу для виявлення взаємозв'язку між географічним розташуванням компаній і їхньою ринковою вартістю. Використання методу ринкових угод та аналізу компаній-аналогів дозволило оцінити вплив різних факторів на мультиплікатор EV/EBITDA. Проведено кластеризацію дослідженої вибірки, проаналізовані та відкориговані викиди за допомогою первинного опрацювання статистичних даних в системі MAPLE з фокусом на розмір та регіон, досліджуючи, яким чином географічний параметр впливає на оцінку вартості та відповідно на рівень показника мультиплікатора EV/EBITDA. Дані охоплюють аналіз публічних ринкових угод у фармацевтичній галузі за період з 2014 по 2023 рік, з акцентом на показники мультиплікатора EV/EBITDA. Вибірка дослідження включає 182 угоди, з яких було виділено підвибірки за географічним принципом: Сполучені Штати та Європа, а також проведено вибірку без екстремальних значень мультиплікаторів. Основна гіпотеза полягає в тому, що географічне розташування компанії суттєво впливає на її ринкову вартість та рівень мультиплікатора EV/EBITDA, зумовлюючи варіації в оцінці вартості залежно від регіону функціонування. Дослідження наголошує на теоретичній та практичній значущості, пропонуючи рекомендації для оптимізації інвестиційних стратегій у фармацевтичній галузі, особливо з огляду на виробництво лікарських засобів. Результати підкреслюють важливість подальшого аналізу з урахуванням додаткових факторів, що впливають на вартість компаній, і відкривають перспективи для глибшого дослідження географічних аспектів у контексті глобалізації ринків. Cтаття ґрунтується на емпіричному дослідженні, що вносить вклад у розуміння ключових аспектів оцінки компаній в сучасних умовах ринку M&A.
Plant Leaf Disease Detection using CNN
Authors:   Department of Computer Science and Engineering, Thoothukudi, Prethika D.Iruthaya Antony , Revathy V ,   Department of Computer Science and Engineering, Thoothukudi
Published: March 2024

Abstract— Plants and crops that are infected by pests have an impact on the country's agricultural production. Usually, farmers or professionals keep a close eye on the plants in order to discover and identify diseases. However, this procedure is frequently time- consuming costly, andimprecise. Plant disease detection can be done by looking for a spot on the diseased plant's leaves. The goal of this paper is to create a Disease Recognition Model that is supported by leaf image classification. To detect plant diseases, we are utilizing image processing with a Convolution neural network (CNN). A convolutional neural network(CNN) is a form of artificial neural network that is specifically intended to process pixel input and is used in image recognition.Farmers do not expertise in leaf disease so they produce less production. Plant leaf diseases detection is the important because profit and loss are depends on production. Index Terms: Image processing,Crops,Support vector Machine,Plant disease,Classification. Keywords— Heart Disease, Diabetes, Machine Learning.
Problem of Authority For Executing Task (PLT) In The Transitional Period of Regional Government Before and After The Simultaneous Elections Based On Law Number 23 Of 2014 Concerning Local Government
Authors: Rona Indara
Published: March 2024

The task executor (PLT) in state administration is an official who occupies a temporary position because the official who occupied that position was previously unable to or was subject to legal regulations so that he did not occupy that position. The purpose of this research is to describe the appointment of the PLT if there is a vacancy in the regional head position during the transition period, analyze, qualifications, limits of the PLT authority and strategic policies during the transition period, but are still held by the PLT and know and analyze the sanctions given to the PLT who does something outside authority. The method used in this scientific work is a normative and qualitative juridical research method that is studied holistically, contextually, progressively, it is known that a. The appointment of Acting Governors is appointed by the President through a proposal from the Minister of Home Affairs, while the appointment of Regents/Mayors is appointed by the Minister of Home Affairs through a proposal by the Governor. b. The qualifications of the PLT who were appointed based on Law Number 8 of 2015 article 201 paragraph (8) to fill the vacancy for the position of Governor are from middle high leadership positions. b. If during the change period a strategic policy is needed that must be taken by the acting head, then it is regulated by Article 132 A paragraph (2) Government Regulation Number 49 of 2008 concerning the Third Amendment to Government Regulation Number 6 of 2005 concerning Election, Ratification of Appointment and Dismissal of Regional Heads and Deputy Regional Head, which must be approved by the Minister of Home Affairs. c. In fact, there are no clear provisions for the Plt who abuses his authority, as the type of authority given to the PLT is unclear.
Feminist Analysis Of The Film “Kartini (2017)” Using Rolland Barthes Semiotics
Authors: Pirry Luidwina Natalia , Poernomo Marlinda Irwanti
Published: March 2024

The film "Kartini" by director Hanung Bramantyo is a film based on the true story of the life of an Indonesian female emancipation hero named Raden Ajeng Kartini. The purpose of this research is to tell about the condition of Javanese women at that time, Kartini struggled to achieve her ideals, namely equalizing the rights of women and men. The method used in this research is a qualitative research method that is descriptive and uses semiotic analysis. The analytical method used in analyzing the film "Kartini" is Roland Barthes' semiotic analysis method, namely in the form of two-stage signification (two orders of signification) with a system of signifiers and signifieds which is also called denotational meaning in the film "Kartini". first level. and significance. The second stage is a second level connotation analysis of scenes that show a depiction of femininity in the Kartini film. The results of this research were the discovery of 3 stereotypes formed in the film "Kartini". First, the stereotype of women as supporting the household. Second, the stereotype of women as dandies or people who like to dress up and attract men's attention. Third, the stereotype of women is in second place after men or second class. The conclusion obtained from this research is that the denotative meaning in the feminist analysis of this film scene illustrates that women had social inequality in the eyes of Javanese society in the Kartini era. in describing the feminist analysis of the character Kartini in the film Kartini is clearly depicted in every scene
The Prospect of Using Artificial Intelligence in TNI Ship Information Systems as a Manifestation of a Resilient Maritime Defense Industry
Authors: Aggria Purja  , Edy Sulistyadi  , Aries Sudiarso  , Muhamad Asvial  , Rudy AG Gultom  , Afpriyanto Afpriyanto
Published: March 2024

This research investigates the prospects of using Artificial Intelligence (AI) in the Indonesian Navy's ship information system as a crucial step in developing a robust and innovative maritime defense industry. The primary focus is on the application of AI technology in the ship information system, analyzing various aspects, including the potential implementation of AI in monitoring and analyzing maritime waters, technical and security challenges that may arise, expected benefits, and the strategic impact of AI implementation in Indonesia's maritime defense industry. The research method employs the Systematic Literature Review (SLR) method, providing a systematic and comprehensive approach to collecting, evaluating, and analyzing relevant literature in a specific field. This study involves literature searches using keywords such as artificial intelligence, information systems, maritime defense industry, Indonesian defense, and Indonesian Navy ships from 2011 to 2023 in various sources such as scholarly journals, conferences, and online databases. The research findings indicate that the use of artificial intelligence in the Indonesian Navy's ship information system has significant potential to improve maritime monitoring, threat detection, operational efficiency, and international collaboration. The integration of AI with advanced sensors such as radar, sonar, and thermal cameras enables more accurate real-time monitoring of activities in maritime waters. Higher accuracy in monitoring and threat detection also contributes to increased situational awareness and smarter decision-making by operational leaders in the Indonesian Navy. Despite the substantial benefits, AI implementation faces several challenges, including initial investment costs, infrastructure availability, personnel training, data security, ethical regulations, dependence on foreign technology, integration and compatibility issues, AI technology reliability, cultural and organizational changes, and long-term benefits. To address these challenges, it is recommended that the government allocates budgets wisely, develops adequate technological infrastructure, provides personnel training, and formulates ethical regulations. Strengthening independence in the development of domestic AI technology is also crucial.
Nusantara Islam and Nusantara Christianity: Criticizing The Theology of Violence and Peace In ReligiousRelations In Indonesia
Authors: Pandiangan Pangihutan
Published: March 2024

Violence has become a daily human problem, in every aspect of life. Even violence has become a culture, which is the result of human creation. Humans create violence to fulfill their desires. The debate about the relevance of religion and violence as well as peace has seen a rapid increase since the turn of the century. This is due to globalization which has brought interaction between various nations and civilizations, including Indonesia. The result of these changes is increased awareness of peace and security, and in turn, increased conflict and violence in almost all regions of Indonesia. For example, the rejection of the construction of places of worship and also the way of looking at religion by placing religion as a source of conflict, has given rise to various attempts to reinterpret religious teachings and then find common ground at a certain level in the hope that violence and conflict between religious communities will be reduced if the adherents of each religion tolerant. Elimination of blind fanaticism, religious education from an early age, having and cultivating an attitude of nationalism and dialogue between religious and cultural communities are also needed. Eliminate the defensive apologetic attitude and approach it through a non-apologetic attitude. As well as returning to local noble values that are rooted in Islam and Christianity from the beginning of the archipelago.
Powtoon Assisted Glasser Model To Improve Writing Skills in High School Students
Authors: Tambunan Marlina Agkris , Manihuruk Leonita Maria Efipanias
Published: March 2024

This study aims to improve the writing skills of SMA Negeri 1 Lintongnihuta students by using the glasser model with the help of local wisdom-based powtoon applications. This type of research is Classroom Action Research (PTK), in this case the teacher as the implementer of learning while the researcher as an observer. This research design uses the Kemmis and Mc model. Taggart. This research was carried out in the odd semester of the 2023/2024 academic year, namely in July. The subjects of this research were class X students at SMA Negeri 1 Lintongnihuta, consisting of 28 students. The object of research is students' writing skills. Data collection techniques use tests and observation. Data were analyzed descriptively and presented in table form. The results showed that there was an increase in students' writing skills, the average value of writing skills in the first cycle of the first meeting was 65.45 and the second meeting was 68.05. In cycle II the average writing skills score for the first meeting was 70.65 and the second meeting was 89.5. This means that improving learning outcomes by using the glasser model with the help of the local wisdom-based powtoon application can improve the writing skills of class X senior high school students.
The Role of Technology and Accounting Information Systems in Improving the Operational Activities of MSMEs
Authors: Herman Nur Melianda , Nirwana  , Muhammad Alief Fahdal  , Hasnawiyah Hasan
Published: March 2024

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in a country's economic growth. However, MSMEs often face challenges in managing their operations. This article aims to describe the role of technology and accounting information systems in improving the efficiency and effectiveness of MSME operations. This research uses the literature review method to analyze previously published articles, books, and other related sources. The results of this literature review reveal that technology and accounting information systems have become important tools in helping MSMEs overcome various obstacles in managing their business. Technologies such as accounting software, electronic payment systems and e-commerce platforms have changed the way MSMEs operate and communicate with their customers. This research also highlights the benefits provided by technology in optimizing inventory management, financial monitoring, and data analysis for better decision-making.
Basic Considerations of Judges in Imposing Criminal Code Article 81 Paragraph 2 of the Child Protection Law Against Children Who Have Sexual Intercourse on the Basis of Consent
Authors: Muhammad Fathony Rizky Noorizain  , Fachrizal Afandi  , Prija Djatmika
Published: March 2024

In this study, the author raises the issue of the basis of the judge's consideration in imposing punishment on children who commit Copulation on the basis of mutual consent. This is motivated because it is not clearly regulated in the Child Protection Law regarding the crime of sexual intercourse committed by a child if the sexual intercourse is carried out on the basis of mutual consent without any element of violence or persuasion from the perpetrator to the victim, causing a vacuum of norms. The formulation of this problem is How is the evidentiary arrangement of the case of sexual intercourse committed by a child on the basis of mutual consent in Indonesia and What is the basis for the judge's consideration in imposing a criminal decision based on Article 81 paragraph (2) of the Child Protection Law against children who have sexual intercourse on the basis of mutual consent. The objectives in this study are (1) To know and analyze the criminal proof of sexual intercourse committed by children on the basis of mutual consent in Indonesian criminal law enforcement. (2) To know and analyze the basis of the judge's consideration in handing down a verdict against minors who have consensual sexual intercourse. To analyze this problem, the theories that will be used as guidelines for analysis are the theory of evidence, the theory of justice, expediency and legal certainty. This type of research uses normative legal methods consisting of a statutory approach (statue approach), conceptual approach (conceptual approach) and case study approach (case law). The results of this study, the author concludes that the Child Protection Law does not recognize the term consensual because the position in child sexual intercourse against children who are consensual, children are seen in the position of victims. Although in the proof the act is done consensually or child fornication. The criminal regulation is regulated in Article 81 of Law Number 35 of 2014 concerning Child Protection
Development Of An Ethnoscience-Based Digital Comic "Tari Saman" For Human Movement System Material
Authors: Irdalisa Irdalisa , Hanum Erlia , Zulherman Zulherman , Nurhayati Elis
Published: March 2024

Scientific literacy skills are still low, and students' lack of interest in getting to know culture is a current educational issue, so innovative, creative and interesting learning media are needed to increase interest in reading and the formation of national cultural character in students. The development of digital comics in the field of science has been carried out by many researchers, but there are still few who combine the material with local wisdom to form cultural characters. This ethnoscience- based digital comic designed to be a pilot project and learning resource for teachers and students in Indonesia in mastering science, technology, skills and attitudes based on the Independent Learning Curriculum. The data was analyzed by processing validator response data with a Likert scale which was converted into qualitative data . The research subjects were media, material and language experts, 60 high school students in class XI high school science, and 6 biology teachers. The instruments used were expert validation tests and questionnaires. The data was analyzed by processing validator response data with a Likert scale which was converted into qualitative data. The purpose of this research can measure the effectiveness of the ethnoscience -based digital comic "Tari Saman" on movement system material to improve students' scientific literacy skills and national cultural character according to P5 (Strengthening Pancasila Student Profile Project). This research uses the 4D method (Define, Design, Develop, Disseminate). The validity test results show that ethnoscience-based digital comics “tari saman” have a moderate level of validity with an Aiken index value > 0.4.  the results of  the feasibility test were 88% by the teachers and 90% by students and media practicability were 88% by teachers and 89% by students. It can be concluded that ethnoscience-based digital comics “tari saman” are valid, feasible and practical to use as supporting media for Biology learning.
Implementation of the ASEAN Power Grid Interconnection West Kalimantan and Sarawak to Fulfill Electrical Energy Needs in Khatulistiwa
Authors: Savira Kamarani  , Imam Supriyadi  , Yanif Dwi Kuntjoro  , Mochamad Fatchur Rozi
Published: March 2024

West Kalimantan is a province in Indonesia that is directly adjacent to Sarawak, Malaysia. Electrical energy in West Kalimantan is not fulfilled because the source of electricity in West Kalimantan still relies on diesel which is expensive and cannot last all day, depending on the supply of fuel. Meanwhile, Sarawak has quite a large supply of energy coming from hydropower plants. To overcome the gap in those regions, ASEAN has made the West Kalimantan and Sarawak as one of the ASEAN Power Grid projects which connects certain areas in two different countries to share electricity supply. The purpose of this study is to determine the effectiveness of the cooperation between West Kalimantan and Sarawak electricity interconnection in meeting the electricity demand in the West Kalimantan region. In this research, the authors used qualitative methods by reviewing the literature. As the results of this study, the cross-border electricity interconnection cooperation between West Kalimantan and Sarawak is quite effective. By importing electricity from Sarawak the demand for electrical energy-especially in the main cities of West Kalimantan, can be fulfilled. So those two areas have the advantage where West Kalimantan is able to meet the electricity needs and Sarawak gets a profit margin by selling its electricity.