bluuebunny/crossref_metadata_2025 huggingface dataset:
Interpreting Women's Emancipation in the Context of Islamic Multiperspectivism: An Analytical Approach
Authors: Widiyanti Dewi , Firdaus Muammar
Published: March 2024

This study aims to investigate, analyze, and establish a model for the study of women's emancipation from an Islamic perspective. The research methodology employs a qualitative interpretive paradigm, utilizing literature-based techniques. Data for the research was sourced from 50 different materials, including books, research findings, and digital news. The data search incorporated keywords such as women's emancipation, gender, and Islamic views. The results indicate that emancipation studies are conducted through a multi-perspective approach encompassing historical perspectives, Islamic law perspectives, and Al-Qur'an perspectives. From these three perspectives, it is evident that Islam has elevated the status of women, leading to equality between women and men. This study implies a shift in societal paradigms, recognizing that women deserve opportunities to contribute in all aspects of society. Such functionalization is implemented with consideration for religious norms, social conditions, and individual competencies.
AbstrakPenelitian ini bertujuan untuk menyelidiki, menganalisis, dan membangun model studi emansipasi wanita dari perspektif Islam. Metodologi penelitian ini menggunakan paradigma interpretatif kualitatif, dengan menggunakan teknik-teknik berbasis literatur. Data untuk penelitian ini bersumber dari 50 bahan yang berbeda, termasuk buku, temuan penelitian, dan berita digital. Pencarian data menggunakan kata kunci seperti emansipasi wanita, gender, dan pandangan Islam. Hasil penelitian menunjukkan bahwa studi emansipasi dilakukan melalui pendekatan multi-perspektif yang mencakup perspektif sejarah, perspektif hukum Islam, dan perspektif Al-Qur'an. Dari ketiga perspektif tersebut, terbukti bahwa Islam telah mengangkat derajat perempuan, yang mengarah pada kesetaraan antara perempuan dan laki-laki. Penelitian ini mengimplikasikan adanya pergeseran paradigma masyarakat yang mengakui bahwa perempuan berhak mendapatkan kesempatan untuk berkontribusi dalam segala aspek kehidupan. Fungsionalisasi tersebut diimplementasikan dengan mempertimbangkan norma-norma agama, kondisi sosial, dan kompetensi individu.
Mekanisme Kelembagaan untuk Kemajuan Perempuan di Daerah Pedesaan
Authors: Luqman Faizal , Sulaikhan Anantasya Hasim
Published: March 2024

This research aims to analyze the role of institutional mechanisms in supporting the advancement of women in rural areas. The focus of this study is to strengthen institutions that empower women and promote gender equality, as well as improve the well-being of women in rural areas. The research methods used include literature analysis and case studies. The findings of the research indicate that strong institutional mechanisms facilitate rural women's access to resources, education, and economic opportunities. A comprehensive approach that includes skills enhancement, organizational management support, and fair division of labor contributes to the empowerment of women in rural areas. The implementation of these solutions is expected to enhance women's empowerment, promote inclusive rural development, improve family welfare, and achieve better gender equality. This research has policy implications for strengthening institutional mechanisms to enhance the role of women in rural development.
AbstrakPenelitian ini bertujuan untuk menganalisis peran kelembagaan dalam mendukung kemajuan perempuan di daerah pedesaan. Fokus dari penelitian ini adalah untuk memperkuat kelembagaan yang memberdayakan perempuan dan mendorong kesetaraan gender, serta meningkatkan kesejahteraan perempuan di perdesaan. Metode penelitian yang digunakan meliputi analisis literatur dan studi kasus. Temuan penelitian menunjukkan bahwa mekanisme kelembagaan yang kuat dapat memfasilitasi akses perempuan pedesaan terhadap sumber daya, pendidikan, dan peluang ekonomi. Pendekatan komprehensif yang mencakup peningkatan keterampilan, dukungan manajemen organisasi, dan pembagian kerja yang adil berkontribusi pada pemberdayaan perempuan di daerah pedesaan. Penerapan solusi-solusi ini diharapkan dapat meningkatkan pemberdayaan perempuan, mendorong pembangunan perdesaan yang inklusif, meningkatkan kesejahteraan keluarga, dan mencapai kesetaraan gender yang lebih baik. Penelitian ini memiliki implikasi kebijakan untuk memperkuat mekanisme kelembagaan guna meningkatkan peran perempuan dalam pembangunan perdesaan.
Unmasking Gendered Language Patterns in Social Media Discourse
Authors: Yuzar Ella , Rahman Fadhlur , Sari Dwhy Dinda , Zanzibar Zanzibar
Published: March 2024

This study investigates the complex realm of gendered discourse within the social media landscape, with an emphasis on revealing and analyzing language patterns. This research employs content analysis as a research methodology, utilizing Twitter's Application Programming Interface to extract tweets that include the hashtags #womenempowerment, #feminist, #menempowerment, and #malechauvinist for the purpose of this study. The decision to focus on these specific hashtags was deliberate, as they represent the spectrum of gender-related discourse, including emancipation, feminism, men's emancipation, and male chauvinism. The prevalence of these hashtags in online discussions demonstrates the various ways Twitter users interact with and express their views on these critical gender issues. This paper explored the intricacies of language usage, uncovering valuable insights that could be pertinent to discussions surrounding gender representation and equality. The findings provide researchers, practitioners, and society with valuable insights into effectively navigating the constantly changing landscape of gendered discourse on social media.
 
Abstrak:
Dengan penekanan pada analisis pola bahasa, penelitian ini menyelidiki ranah wacana gender yang rumit dalam interaksi online di media sosial. Sebagai metodologi penelitian, penelitian ini menggunakan analisis konten. Untuk melakukan ini, Twitter's Application Programming Interface digunakan untuk mengekstrak tweet dengan tagar #womenempowerment, #feminist, #menempowerment, dan #malechauvinist. Fokus pada tagar-tagar ini digunakan dengan tujuan khusus karena mereka mewakili berbagai topik terkait gender, seperti emansipasi, feminisme, emansipasi laki-laki, dan chauvinisme laki-laki. Tagar-tagar ini muncul dalam diskusi dan interkasi online, menunjukkan berbagai cara pengguna Twitter berinteraksi dan menyatakan pendapat mereka tentang isu-isu gender yang penting. Lebih jauh, penelitian ini menemukan berbagai aspek penggunaan bahasa dan memberikan perspektif penting yang sangat relevan dengan pembicaraan tentang representasi gender dan kesetaraan. Hasil ini membantu para peneliti, praktisi, dan masyarakat mengatasi wacana gender di media sosial yang terus berubah.
UJI ORGANOLEPTIK KERIPIK PEPAYA PADA PRODUK INOVASI PANGAN YANG BERGIZI
Authors: Fikri handira
Published: March 2024

Pepaya merupakan salah satu tanaman hortikultura yang sangat penting untuk dikonsumsi karena bergizi, sebagai sumber vitamin C, provitamin A dan sebagai macamnya mineral seperti kalsium, fosfor dan zat besi. Buah pepaya mempunyai potensi untuk dikembangkan menjadi produk olahan karena tingginya jumlah produksi. Keripik pepaya merupakan keripik yang diolah dari buah pepaya yang sudah matang maupun pepaya muda, masih keras namun mempunyai rasa yang manis dan tidak mngeluarkan banyak getah. Tujuan dari penelitian ini adalah untuk mengetahui inovasi pangan keripik pepaya dan uji organoleptik (warna, aroma, rasa dan tekstur). Hasil penelitian menunjukkan pada uji organoleptik keripik pepaya berdasarkan kesukaan panelis terhadap warna, aroma, tekstur, dan rasa. Implikasi potensial dari penelitian ini termasuk inovasi produk keripik pepaya dan pemanfaatan bahan lokal buah pepaya dalam pembuatan keripik
PENGARUH PENAMBAHAN KACANG KEDELAI PADA PROSES PEMBUATAN SNACK BAR BERBAHAN DASAR AMPING
Authors: Angga Angga Tritisari
Published: March 2024

Agriculture in Indonesia has great potential and as one of the key sectors in national development and development, economic development of a region can be done by creating quality products based on the resources of the region, one of which is processing amping into snack bar products. The aim of this research is to identify the chemical properties and formulate the right ones to produce snack bars made from rice amping. This type of experimental research with snack bar products consists of three formulas with a ratio of whole amping and soybean flour, namely A1 (90 grams and 10 grams), A2 (80 grams and 20 grams), and A3 (70 grams and 30 grams). The snack bar product that has the best value for fat and protein content is sample A3 with 70 grams of whole amping and 30 grams of soybean flour. Of all the snack bar formulas, the right formula is the formula with the addition of 70 grams of whole amping and 30 grams of soybean flour, because the ingredients needed in snack bars are high protein and fat content to increase energy.
Accuracy of Google Translate in Translation of English-Kiswahili and Kiswahili-English Newspaper Headlines
Authors: Kisilu Esther , Wangia Dr. Joyce
Published: March 2024

This paper endeavors to determine the accuracy of Google Translate in newspaper headlines from Kiswahili to English and vice versa, while using the human translator as the yardstick. Newspaper headlines in both Kiswahili and English were identified and randomly selected. Three human translators were used to so that the Google Translate translations could be measured against the human translators. The Relevance Theory was applied during the research. This study made use of both Qualitative and Quantitative Research Methodology and a Descriptive Research Design. Simple Random Sampling was used to select the data to be used while Purposive Sampling was used when choosing the human translators. Fifty data sets were tested, twenty-five of which were in Kiswahili while the rest were in English. Content analysis was thereafter applied to interpret the translation output. The study found that the human translator is more accurate than Google Translate. In addition, some human translations were found to slightly differ from Google translations in the wording but still had the same meaning. The study focused on the communicativeness of the translated data and found that some items translated exhibited meaning losses. It was found that Google Translate was able to accurately render the meaning of 28/50 (56%) of the instructions examined, implying that it is 56% accurate in translating Kiswahili to English and vice versa. Mistranslations were found to be more prevalent in the Kiswahili source data. This therefore means that sometimes miscommunication occurs as some items are not accurately rendered. This study thus offers useful insight on areas of intervention in Machine Translation, particularly Google Translate.
Entrepreneurship Education as a Tool for Reducing Unemployment among Educational Management Graduate Students in Rivers State Universities
Authors: Aleru Dr. Gladys Ejimole , Isi Dr. Fortune Ihuoma
Published: March 2024

The study examined Entrepreneurship Education as a tool for reducing unemployment among Educational Management graduate students in Rivers State Universities. To achieve the purpose of the study, the researcher formulated three (3) objectives of the study, three (3) research questions and three (3) null hypotheses that guided the study. The study adopted descriptive survey design. The population of this study consists of 784 Educational Management Graduates in Rivers State University and Ignatius Ajuru University of Education. These are Educational Management graduates from the 2022/2023 academic session. The sample for this study consists of 50 percent of the total population with a total sample size of 392 students. The sampling technique used for the study was simple random sampling techniques because all the respondents were given equal opportunity to be represented. The instrument used for this study was a self-structured questionnaire developed by the researcher. Data collected for this study were analyzed using mean and standard deviation to answer the research questions. While z-test statistics was used to test the hypothesis at 0.05 level of significance. Findings of the study revealed that technical skills, financial management skills and office management reduce unemployment among Educational Management graduate students in Rivers State Universities. It was therefore recommended that Educational Management graduates should endeavour to acquire themselves with all the relevant skills necessary for them to create, and maintain their customers’ needs and Educational Management lecturers should use suitable methods and resources to ensure that their students adequately acquire Technical Skills, Marketing skills, Financial Management Skills.
“Only this time in English”
Authors: Arum Nuranindia Endah
Published: March 2024

While English is widely used as the working language in multinational companies, local languages still play an important role in the workplace. This puts international employees in a difficult position, as they face pressure to become competent in the local language in addition to being proficient in English. This paper aims to shed light on the language learning experience of migrant engineers in Norway by exploring their investment (Darvin & Norton, 2015) in learning Norwegian and its interplay with their language learning trajectories. The analysis of the participants’ autobiographic narrative accounts (Pavlenko, 2007) shows that different workspaces lead to different ideologies at play and a shifting value of linguistic capital over time. The reported language practices in the workplace devalue the participants’ English language capital and create pressure for them to use Norwegian for work. Despite the participants’ investment in learning the local language(s), it does not always translate to a sense of belonging and career progression due to ideologies that marginalize these migrant employees, such as raciolinguistic ideologies (Alim et al., 2016). This study provides new insights into the lived experience of highly skilled professionals as learners of languages other than English in multinational companies.
On Digital Citizenship Research in Journals in the TR Index Database: A Systematic Compilation Study
Authors: Öngören Hakan
Published: March 2024

The concept of digital citizenship is met with great interest in the academic community and is the subject of the research. Since the number of studies conducted has increased with the interest in question, it has become important to know the studies and their general trends. In the study designed with the systematic compilation model, the data were obtained from published research on digital citizenship in journals scanned in the TR Index index. In this context, 38 scientific researchers were examined on the basis of systematic compilation patterns from qualitative analysis methods. Accordingly, the distribution of the number of studies examined by year, the period of acceptance for publication, the journal name of the studies, the methods used in the research, data collection tools, validity and reliability analyses, and data analysis methods related to the data have been tabulated and graphed with frequency and percentage calculations. According to the results obtained from the research, it was concluded that the journals with the highest number of publications are in the field of educational sciences; the period of acceptance for publication is between 0 and 3 months; the qualitative research method is mostly used; the sample group is between 101-300 people; and the sample number is between 301-1000 people.
Kadastro parsel sınırlarının obje olarak kullanılarak arpa ve buğday ürünlerinin çok zamanlı Sentinel-2 uydu görüntüleri ile belirlenmesi
Authors: YAŞAR Oğuzhan , YAĞCI Ali Levent
Published: March 2024

Ülkemizde buğday ve arpa sırasıyla en önemli iki tahıl ürünüdür ve her yıl arpa ve buğday eken çiftçiler T.C. Tarım ve Orman Bakanlığı tarafından çiftçi beyanları temel alınarak maddi olarak desteklenmektedir. Ancak çiftçilerin bu destekleri amacına uygun kullanıp kullanmadığının kontrolü, klasik yöntemler ile mümkün değildir. Bu nedenle, bu çalışmada Sentinel-2-tabanlı Normalize Edilmiş Bitki Fark İndeksi (NDVI) zaman serileri ve Tapu Kadastro Genel Müdürlüğü (TKGM) parsel sorgu uygulamasından indirilen parsel sınırları kullanılarak tam otomatik bir kontrol sistemi kurulması amaçlanmıştır. Elde edilen sonuçlar, tahıl üretimini yoğun olduğu Yozgat ilinin Merkez ilçesinde toplanan yersel doğrulama verileri ile karşılaştırılmıştır. Sonuçlara göre, bazı parsellerin sınırları içinde kalan çalılık, otluk, çorak alan, toprak yol, sulama kanalı ve ağaç gibi arazi kullanımı ve örtüsü sınıfları arpa ve buğday parsellerin NDVI eğrilerine genellikle küçük etki yarattığı için sonuçların doğruluğunu etkilememiştir. Ancak, bir parsele iki farklı ürün dikildiğinde yöntem hatalı sonuçlar vermektedir.
Trends of Urbanization in West Bengal: A District Level Study
Authors: Dr. Jyotirmoy Pandit
Published: March 2024

The 21st century experiences a rapid pace of urbanization in the world and especially in the developing countries like- India. More than half of the world's population lives in cities and towns that symbolize the unprecedented growth of urbanization. This very urbanization is coupled with social, economic, spatial and environmental impacts and challenges. Though higher rate of urbanization seems to be positive sign for economic development and overall prosperity of the regions. The present work intends to study the recent processes and demonstrate the levels of pattern of development and inter-districts disparities of urbanisation of West Bengal by measuring some selected indices: like level of urbanisation, decadal growth of urban population, rate of urbanisation and urban growth, contribution of growth in urban population to total growth and human development index. It is a meso-level study and 19 districts of the state have been selected as units of study. The simple statistical techniques have been used to calculate the level development by the help of the data collected from secondary sources -Census 2001 & 2011
Deep Learning Based Knee Osteoarthritis Detection and Classification
Authors: Ms. Anitha R  , Ms. Archana M  , Ms. Aswini R  , Ms. Christabell Smylin P
Published: March 2024

Knee osteoarthritis (OA) is a musculoskeletal disease that significantly affects patients' quality of life. Early and accurate diagnosis of knee osteoarthritis is important for timely intervention and development of appropriate treatment plans. In this study, we present a novel approach using artificial intelligence (AI)-based deep learning to solve the problem of knee joint localization, joint width (JSW) area, and grading of knee OA from digital radiographs. The main aim of this study is to investigate the effectiveness of the deep learning method in predicting knee OA severity based on the Kellgren Lawrence (KL) rating. To achieve this, we developed a custom tool that uses neural networks (CNN) to analyze digital radiographs of the knee joint. Our approach focuses on identifying the presence of knee OA and measuring its severity according to the KL score.
Fortifying Cyber Resilience
Authors: N. Leo Bright Tennisson  , V. Nithish  , M. Parkavi  , A. Priya Dharshini
Published: March 2024

Ensuring secure communication between different zones during armed action is the main goal of this project. The majority of communications take place by wireless (satellite) means because this is the medium that attackers target the most. As such, it is the responsibility of the informing general officer to guarantee a secure communication channel. We now introduce the idea of ransomware, which is a type of software that prevents a user from accessing their data or device and then demands payment in order to unlock it.These days, ransomware assaults are more common due to the rise of cryptocurrencies. Crypto-ransomware, the most dangerous type of ransomware, encrypts the victim's important files and demands payment in ransom.Malware of the ransomware type encrypts computer files, rendering them unreadable by the user. After that, the attacker demands a ransom from the user in return for the key that unlocks the data, thus extorting them. Cybercriminals first infiltrate a system, encrypt all data, and then demand payment in bitcoin for the victim's decryption key. This is how ransomware operates. Some ransomware operators will employ multipleextortion tactics in addition to breaking into a system and inserting encryption malware. These tactics include copying and obtaining the unencrypted data, embarrassing the victim on social media, threatening further attacks like denial-of-service attacks, or disclosing the stolen data to customers or the dark web.
Detection of Gastrointestinal Lesions using Deep Learning
Authors: Ms. Sangeetha G  , Mr. Akash A  , Mr. Dany Joseph C  , Mr. Haarish Raj K
Published: March 2024

In the context of gastrointestinal health, this paper focuses on the identification of lesions and six stages of it using deep learning techniques. Gastrointestinal lesions can be challenging to diagnose accurately, often leading to delayed treatment and potential health complications. Like challenges in medical diagnosis, where early detection is crucial, this paper aims to provide a robust solution for early lesion identification. We leverage advanced algorithms such as modified ResNet34 a Convolutional Neural Network architecture and Pytorch, for effective filtering processes. The proposed predictive analytics framework incorporates machine learning techniques to minimize error rates. Our model processes gastrointestinal image data, facilitating accurate lesion identification. Through extensive experimentation, our model demonstrates promising results in early lesion detection, facilitating timely clinical intervention and improved patient outcomes. The utilization of Visual Studio Code enhances our development process, ensuring a seamless implementation of our deep learning methodology. Overall, our project aims to enhance diagnostic accuracy, paving the way for improved clinical monitoring and ultimately contributing to a healthier and more secure lifestyle for individuals with gastrointestinal concerns.
Investigating and Understanding Library Data Services to Support Law Graduates Data Literacy Competencies: A Conceptual Framework
Authors: Kashyap Vinay Singh  , Nautiyal Neelam
Published: March 2024

Data literacy is an important ability to have in our modern knowledge culture. Data literacy and its application are gaining traction in society. We need to consider a wide range of tools for accessing, converting, and altering data. It is also necessary to grasp relational databases (such as MS Access), statistical software tools (such as SPSS, STATA, Minitab, MS Excel, and so on), data manipulation techniques, and data presenting software tools (such as MS PowerPoint and MS Excel). The increase of available data offers distinct issues for library services. How might libraries help, for example, with reskilling efforts to build a data-driven mindset? This study examines the investigation and understanding of library data services in order to support law graduates' data literacy competencies. This article discussed data literacy and its connections to statistical literacy and information literacy. It also offers data library competencies for law graduates and demonstrates how to become data literate.
An Efficient Image Compression Technique using Long Short-Term Memory Networks (LSTM)
Authors: Gunja Mandogade  , Gaurav Morghare
Published: March 2024

The emergence of big data has imposed significant challenges on data storage and transmission. One pressing issue is leveraging deep learning techniques to achieve superior compression ratios and enhance image quality. Recurrent Neural Networks (RNNs) offer a promising avenue for controlling image bit rates iteratively, thereby enhancing compression performance. However, integrating Long Short-Term Memory (LSTM) into RNNs to address long-term dependencies increases model complexity. To expedite training and enhance image reconstruction quality, this study proposes several innovations.Initially, we enhance the activation function within LSTM to more effectively manage information retention and omission, thereby reducing parameter count and expediting training. Additionally, we introduce an image recovery block within the decoder to reconstruct high-resolution images. Finally, to expedite loss convergence, we replace L1 loss with SmoothL1 loss. Experimental outcomes demonstrate the efficacy of our approach, showcasing higher compression ratios
EDR (Event Data Recorder) in Vehicles using IOT
Authors: Purushottam S. Chavan  , Sneha Bhanudas Nikam  , Sakshi Subhash Mahale  , Akshada Vikram Ohol  , Palak Shashikant Randhir
Published: March 2024

The increasing integration of Electronic Control Units (ECUs) in modern vehicles has paved the way for sophisticated in-vehicle monitoring and diagnostics systems, givingrise to the concept of Event-Driven Recording (EDR). EDR in vehicles involves the continuous capture and storage of critical data related to various events, such ascollisions, sudden accelerations, or system malfunctions. This data, often collected from multiple sensors and modules within the vehicle, serves as a crucial tool for post-incident analysis, aiding in the reconstruction of events leading up to and during accidents. EDR not only provides valuable insights for accident investigation but also plays a pivotal role in enhancing vehicle safety by facilitating the identification of potential design flaws and contributing to the development of more robust safety features.
Examining Ethical Hacking: A Case Study for Information Security Curriculum
Authors: Mamatha S  , Dr M N Nachappa
Published: March 2024

Denial of Service (DoS) assaults are a crucial subject in security courses, particularly those that emphasize intrusion detection and ethical hacking methods. This work offers a case study that describes how three typical DoS attacks were implemented as part of extensive offensive
hands-on lab exercises. The goal of the exercises is to provide students with the necessary skills to carry out these assaults in a lab setting on a remote network. The report also addresses the moral and legal ramifications of teaching ethical hacking and offers recommendations for improving the efficacy and integrity of information security curricula at educational institutions.
Quantum Computing in Machine Learning - The Future of Quantum Computing
Authors: Vinutha R  , Haripriya V
Published: March 2024

In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The proposed work examines the fundamental ideas and methods of quantum computing—including quantum gates, quantum circuits, and quantum algorithms—as they relate to machine learning in this abstract. Various quantum computing applications in machine learning, including quantum neural networks, quantum support vector machines, and conventional methods influenced by quantum mechanics are also discussed. A review of state-of-the-art in quantum computing for machine learning, including recent advancements in quantum hardware and software has been done and the future prospects of this fascinating area has been examined.
Secure Cloud Architecture
Authors: Prof. Shraddha S. Kulkarni
Published: March 2024

Cloud computing refers to the availability of online resources and services. Global data centers serve as the delivery hubs for cloud services. Cloud computing helps its users by giving them access to virtual resources over the internet. Pay-Per Use-On-Demand mode is provided by cloud computing and e-trade. It may be easily accessible and shared via IT resources with the help of the internet. The primary obstacle in cloud computing is to protection and privacy issues arising from its multi-tenancy structure, as well as the outsourcing of critical applications, infrastructure, and sensitive data. Businesses are utilizing cloud services at a rapid pace; therefore, it is necessary to implement measures that ensure businesses have security and can select a provider that suits them. An advancement in current technology that fulfills the long-held dream of computing as a utility is cloud computing. The majority of private and public sector businesses have been deceived by the emergence of this innovative technology in the IT industry.
The two main security-based approaches now in use for cloud-based platforms are holomorphic encryption and single tamper-proof hardware. Scalability is a problem for hardware-based solutions, but holomorphic encryptions are merely an idea. Furthermore, because of the different nature of its services and deployment strategy, cloud-based platforms cannot directly incorporate standard defense in-depth security mechanisms. To secure the cloud-based platform, however, the same idea of a multi-layered security mechanism can be suggested
Deep Fake Image and Video Detection using Machine learning
Authors: Gururaj. A  , Ajaai.N. M  , Eswaran. J. M  , Christina Swetlin.B
Published: March 2024

Deep fake technology has rapidly advanced in recent years, presenting a significant challenge in distinguishing between authentic and manipulated media content. This abstract outlines the current state of research and development in deep fake image and video recognition, focusing on methodologies and advancements in detection techniques. The abstract begins by elucidating the motivation behind deep fake recognition, highlighting its implications in various domains such as politics, journalism, and entertainment. It then delves into the technical aspects, discussing the underlying principles of deep fake generation and the emergence of sophisticated algorithms capable of producing highly convincing fake media. Furthermore, the abstract provides insights into the evolving landscape of deep fake detection mechanisms. It discusses traditional approaches based on artifacts analysis and statistical methods, as well as the recent surge in machine learning and AI-based detection techniques. Notably, it emphasizes the importance of dataset curation, model training, and validation strategies in achieving robust detection performance Moreover, the abstract touches upon the challenges and limitations faced by current deep fake recognition systems, including the arms race between generators and detectors, scalability issues, and ethical considerations. It concludes by underscoring the significance of interdisciplinary collaboration and ongoing research efforts in addressing these challenges and fostering trust in digital media integrity. Overall, this abstract offers a concise overview of the landscape of deep fake image and video recognition, serving as a primer for researchers, practitioners, and policymakers engaged in combating the proliferation of synthetic media manipulation
AI Resume Analyzer using Natural Language Processing
Authors: Ms. Sophiya Sugantha Grace M  , Mr. Darani R  , Mr. Deepan A  , Mr. Gowthaman M
Published: March 2024

The Intelligent Resume Analyzer is an AI-powered system that analyses candidate resumes and makes recommendations to enhance them. The system takes a candidate's resume as input and processes it using machine learning algorithms to discover areas for improvement. The system's main goal is to assist job searchers in creating resumes that can pass the screening process of job interviews. To extract useful insights from the candidate's resume, the system employs a variety of approaches such as natural language processing, text mining, and sentiment analysis. It examines the candidate's experience, skills, education, and achievements to provide feedback on how to improve the resume. The algorithm also evaluates the resume's layout, language, and spelling to verify it follows industry standards. Both job searchers and recruiters can benefit from the Intelligent Resume Analyzer. Recruiters can use the system to swiftly find the top candidates for a certain job, while job seekers can use it to build resumes that are more likely to pass the screening process of job interviews. Job seekers can improve their chances of getting hired for the positions they want by utilizing the Intelligent Resume Analyzer.
The Relationship between Organizational Commitment and Organizational Citizenship Behavior in State Civil Apparatus (ASN) in the Sidoarjo Regency Government Environment
Authors: Fitriani Marisa , Matulessy Andik , Rini Amanda Pasca
Published: March 2024

In order to create a successful organization, employees are needed who are willing to work beyond their routine duties and strive for performance results that exceed organizational standards. Organizational citizenship behavior (OCB) is an employee’s desire to work with good quality and try to create the best service, which is an indication of extra-role behavior. One factor that can increase OCB behavior is organizational commitment. This research aims to determine the correlation between organizational commitment and organizational citizenship behavior (OCB) or the extra role behavior of State Civil Apparatus (ASN) in the Sidoarjo Regency Government Environment. This research uses quantitative correlational research with one dependent variable and one independent variable. The participants in this research were 333 ASN representing all regions within the Sidoarjo Regency Government. Data collection used the organizational citizenship behavior (OCB) scale developed by researchers and the organizational commitment questionnaire. The research data has been tested for assumptions using the normality test and linearity test and the data analysis technique used in this research is simple linear regression analysis. The results show that organizational commitment is proven to have a positive and significant relationship with organizational citizenship behavior with a t coefficient value of 31,204 and a significance of 0.000 <0.01. The effective contribution obtained in this research was 74.6%. Meanwhile, for the remaining 25.4%, OCB was influenced by other variables not studied in this research.
Identificación de competencias de enfermería de práctica avanzada en profesionales de clínicas de cuidado especializado
Authors: Cuellar-Buendía José Antonio , Suasto-Gómez Wendy Melina , Romero-Cisneros Laura Sofía , Chaparro-Sánchez María Adriana , Tapia-Juárez Yohyotzin Edgar , Fabián-Victoriano Ma. Rosy
Published: March 2024

Introducción: para la implementación exitosa de la Enfermería de Práctica Avanzada (EPA), es necesario identificar y diferenciar a los profesionales que poseen este perfil acorde a las competencias que la caracterizan, luego, llevar a cabo estrategias dirigidas a potenciarlas y fortalecerlas.
Objetivo: identificar las competencias de EPA de los profesionales que laboran en Clínicas de Cuidado Especializado de un Hospital de Segundo Nivel en México.
Material y métodos: estudio observacional, descriptivo, transversal, prospectivo. Se incluyó a todas las enfermeras adscritas a las clínicas de cuidado especializado (n=28): terapia de infusión, gerontogeriatría, heridas y estomas, cuidado de la piel y prevención de lesiones asociadas a la dependencia, dolor y cuidados paliativos y reemplazo renal a quienes se les aplicó el Inventario para la Evaluación de Competencias de Enfermería de Práctica Avanzada (IECEPA), que identifica competencias de EPA a través de 8 dimensiones.
Resultados: los puntajes medios obtenidos respecto a las competencias de EPA: investigación y práctica basada en la evidencia (=30.03), liderazgo clínico y profesional (=14.92), autonomía profesional (=32.57), relaciones interprofesionales y mentoría (=26.03), gestión de la calidad (=15.67), gestión de cuidados (=24.17), enseñanza y educación profesional (=17.85), promoción de la salud (=15.17).
Limitaciones del estudio: no existe un instrumento adaptado al contexto mexicano que identifique competencias de EPA.
Originalidad: los autores declaran que se trata de un artículo original.
Conclusiones: esta investigación representa un avance en la implementación de la EPA, pues permitió identificar la práctica avanzada de los profesionales que integran las clínicas de cuidado especializado.
Fisiopatología de la displasia broncopulmonar
Authors: Caussade Larraín Solange
Published: March 2024

La fisiopatología de la displasia broncopulmonar (DBP) se centra en la interrupción del desarrollo pulmonar durante etapas críticas en las que la histología, anatomía y función celular están en proceso de adaptación para facilitar el intercambio gaseoso eficiente. Este desarrollo, que avanza hacia la etapa alveolar después de la etapa sacular, ocurre simultáneamente con una respuesta inflamatoria y de reparación al daño. Como resultado, se afectan la vía aérea (principalmente a través de la limitación obstructiva), los alvéolos (resultando en hipoxemia) y la vasculatura pulmonar (provocando hipertensión pulmonar).
A Rule-Based Approach with Fuzzy Logic for Adaptive Network Optimization
Authors: Godwin Egbujor Emeka , Mgbachi Prof C. A. C
Published: March 2024

This study introduces an adaptive network optimization framework grounded in fuzzy logic and rule-based machine learning for cognitive radio systems. The primary objective is the concurrent minimization of interference, congestion, and bit error rate, coupled with enhancements in throughput and signal-to-noise ratio. A comprehensive set of rules, guided by linguistic variables for qualitative network aspects, is established alongside membership functions for quantitative analysis.The incorporation of machine learning into our approach enables adaptability to diverse network conditions, resulting in overall improved efficiency. The positive impact of machine learning is particularly evident in the reduction of congestion during specific timeframes. Specifically, on Saturday at hour 6, congestion decreases from the conventional 3.055 to 2.86. This notable improvement underscores the efficacy of machine learning in expediting the sensing mechanism of secondary users, facilitating the rapid identification of unused channels from primary users. The findings contribute to the advancement of cognitive radio systems, providing a robust and adaptable solution to address the intricate dynamics of modern wireless networks.
The Influence of Cyberbullying to Self-Esteem of Grade 12 Students
Authors: Mangarin Rey Avila , Mato Myla A. , Misoles Geraldine J.
Published: March 2024

This study was conducted to determine the level of cyber bullying and self-esteem and as well as the significant relationship between cyber bullying and self-esteem of Grade 12 students. A quantitative non-experimental correlational design was employed in the study considering weighted mean and Pearson-r as statistical tools. As a result, the level of cyber bullying is high and self-esteem is low of among Grade 12 students. Further, the negative relationship between the two variables implies that as cyber bullying increases, self-esteem of the students decreases. The findings of the study are good springboard to address the cyber bullying issues in the classroom and in schools and enhance the self-esteem of students.
GELİBOLULU ÂLÎ DİVANI’NDA “ÇÂH”A (KUYUYA) DAİR
Authors: BATİSLAM Hanife Dilek
Published: March 2024

XVI. yüzyıl Divan şairi olarak bilinen Gelibolulu Âlî’nin ayrıca bürokrat ve tarihçi yönleri vardır. Çeşitli devlet görevlerinde bulunan şair, yaptığı görevlerde karşılaştığı olumsuz durumları ve toplumun yaşadığı bazı sorunları eserlerinde dile getirmiştir. Bu nedenle onun şiirlerinde günlük hayat sahneleri ve sosyal eleştiri önemli bir yer tutar. Farklı içerik ve türde eserleri bulunan Gelibolulu Âlî’nin diğer divan şairlerinde fazla rastlanmayan kimi özellikleri şiirlerinde ve eserlerinde yansıtması dikkat çekici yönlerindendir. En çok gazel yazan divan şairlerinden biri olmasının yanı sıra şair, gazel nazım şeklinden övgü amacıyla yararlanır. Gazellerinde farklı aruz kalıpları kullanır. Günlük hayata dair hemen her konuyu ele alan Âlî şiirlerinde yaşadığı coğrafyanın yer adlarına ve yerel söyleyişlerine de yer verir. Gelibolulu Âlî Divanı’nda kuyu ve kuyu çeşitleri sıklıkla kullanılan benzetme ögelerindendir. Divan şiiri geleneğinde kuyu denildiği zaman sevgilinin çene çukuru ve Yusuf kıssasında anlatılan Hz. Yusuf’un kuyuya atılması ilk akla gelen örneklerdir. Ancak Gelibolulu Âlî’de bu tür kullanımlardan başka tamlamalarla kuyu ile ilgili değişik unsurların çokça yer aldığı görülür. Bu çalışmada hem bir klasik dönem şairi hem de şiirlerinde diğer şairlerden ayrı özellikler bulunması, Divan şiirinde kuyu ve kuyuyla ilgili unsurların nasıl işlendiğini göstermesi bakımından Gelibolulu Âlî Divanı incelenmiştir. Divandaki örnek beyitlerden yararlanılıp kuyunun kullanım sıklığı ve kullanım özellikleri belirlenmeye çalışılmıştır.
KLASİK TÜRK ŞİİRİNDE ANLAM-BAĞLAM İLİŞKİSİ: FAKÎRÎ SAKİ-NAMESİNDE TESPİT EDİLEN ÖZGÜN KELİME KULLANIMLARI
Authors: ÇAYILDAK Özlem
Published: March 2024

Klasik Türk şiirini anlamak, okuyucuların şiir ve şair hakkında anlaşılır ve doğru bilgiye ulaşmasını sağlamak, şiirin anlam dünyasını ortaya çıkaran çalışmaların yapılması ile mümkün olmaktadır. Klasik Türk şiirini daha anlaşılır kılmak için günümüzde birçok metodolojik çalışma yapılmaktadır. Bunlardan biri de bağlamlı dizin ve işlevsel sözlük çalışmalarıdır. Bağlamlı dizin, metindeki sözcükleri ve geçtikleri yeri, sözcüklerin kullanım sıklığını gösterecek biçimde, alfabetik olarak dizmektir. Bu tarz bir çalışma, sözcüğün metinde hangi bağlamlarda kullanıldığına açıklık getirir. Bir şiirin anlamına ulaşmak, edebî değerini ortaya koyabilmek için şiiri amacına uygun ve doğru bir şekilde incelemek gerekir. Eseri oluşturan her dil unsurunun bağlama göre değişen anlamlarının tespit edilmesiyle elde edilen anlam-bağlam ilişkisine dayanan metin sözlükleri, klasik Türk şiiri için son derece önemlidir.

Klasik Türk şiirinin anlam zenginliği göz önünde bulundurulduğunda bağlam, şüphesiz büyük önem taşımaktadır. Kavramlar, hayaller, mazmunlar kendilerinden önce veya sonra gelen unsurlarla ilintili olarak yüzlerce farklı anlam taşıyabilmektedir. Bu çalışmada klasik Türk şiirinde sözcüklerin “bağlam”a göre nasıl farklı anlamlar kazandığı, Fakîrî Saki-namesi esas alınarak hazırlanmıştır. Böylelikle anlamların bağlama göre nasıl değişkenlik ve işlevsellik kazandığı gösterilmeye çalışılmıştır. Saki-namede yer alan farklı kelime kullanımları ve bağdaştırmalar tespit edilip anlamsal farklılık arz eden kelimelere, şiirin bağlamından hareketle mana verilmiş, kelime ve kelime gruplarının bağlamsal açıdan farklı görülen örnekleri bu çalışmada ele alınmıştır.
KUR'ÂN-I KERİM'DEN DİVAN ŞİİRİNE YANSIYAN YORUMLAR
Authors: HAKSEVER Halil İbrahim
Published: March 2024

Divan şiiri edebiyat tarihimizde İslâm dini etkisinin en çok görüldüğü dönemin ürünüdür. Bu dönemin şairleri Kur’an ayetlerinden, Hz. Peygamber’in hadislerinden ve bunlardan neşet eden dinî ilimlerden öğrenip anladıklarını şiirlerinde yansıtmaya çalışmışlardır. Edebî metinlerde görülen dinî bilgiler öğretici amaçla da sanat amacıyla da ele alınmış, şairin ihtiyacı kadar kullanılmıştır. Klasik Türk şiiri dikkatle incelenirse, ayet ve hadislerden alınıp yorumlanarak sanatın diline aktarılan bilgilere, dinî konu ve meselelere işarette bulunan ifadelere sıkça rastlanır. İslâm’a ait çeşitli bilgi, düşünce ve duygular şairlerin zihin ve anlayış süzgecinden geçtiği şekliyle metinlere yansımıştır. Şairler öğrendikleri dinî bilgileri içinde yaşadıkları kültürün geleneğine uygun olarak anlamışlar, ilim-sanat erbabının ve halk kitlelerinin kabulüne mazhar olacak şekilde yansıtmışlardır. Daha çok tasavvufî düşünceyle yoğrulan halkın din idraki, aynı düşünceyle yetişen divan şairinin sunduğu dinî anlayışa uzak değildir. Divan şiirinde tasvir edilen kâmil insan tipi ve benimsenen hayat tarzı, onların dinî kaynaklardan öğrendikleri bilgilerle uyumludur. Unutulmamalıdır ki, şairler kendi anlayış ve yorumlarını edebiyatın dil ve estetik kaidelerine bağlı kalarak ve çeşitli edebî sanatları kullanarak dile getirmişlerdir.

Makalede din-sanat ilişkisinden hareketle klasik şiirimizin Kur’an ile irtibatı, şiir metinlerinde ayetlere nasıl telmihlerde bulunulduğu, ayetlerin gazel ağırlıklı şiire nasıl bir yorumla yansıdığı gibi hususlar üzerinde durulacak; hakikati düz ve yalın bir ifade şekliyle değil, şiir dili öyle gerektirdiği için “farklı söyleme” örnekleri sunulacaktır.
NÂŞİD İBRAHİM BEY’İN “BAK” REDİFLİ GAZELİNİN ŞERHİ
Authors: ALICI Lütfi
Published: March 2024

XVIII. asır Osmanlı Devleti’nde siyasi, sosyal, iktisadi ve askerî sıkıntıların yaşandığı bir devirdir. Bu sıkıntılardan asrın sanat ve edebiyat hayatı fazla etkilenmemiş, az da olsa bu sahalarda ilerleme devam etmiştir. XVIII. asrın başında klasik Türk şiiri, Lale Devri şairi Nedîm’i, sonunda da sebk-i Hindî şairi Şeyh Gâlib’i yetiştirmiştir. Aynı asırda Râsih, Koca Râgıb Paşa, Sünbülzâde Vehbî, Esrâr Dede ve Nahîfî gibi büyük şairler yetişmiştir. XVIII. asırda klasik Türk şiirinde klasik üslubun yanı sıra mahallileşme, hikemî ve sebk-i Hindî üslubu etkili olmuştur. Asrın üstat şairi Şeyh Gâlib’in rağbet ettiği Nâşid İbrahim Bey de bu yüzyılda yaşamıştır. Nâşid İbrahim Bey’in önemli bir kısmı sarayda olmak üzere bütün sanat hayatı İstanbul’da geçmiştir. Nâşid’in edebî şahsiyetinin teşekkülünde babası Ahmed Râtib Paşa, Nâbî, Nedîm ve Şeyh Gâlib ile Sa’ib ve Şevket’in tesirleri olmuştur. Bu etki ile şair, daha çok mahallileşme, hikemî ve sebk-i Hindî üsluplarıyla şiirler yazmıştır. Bütün şiirleri bir divanda toplanan Nâşid’in divanı III. Selim’e sunulmuştur. Nâşid İbrahim Bey, muasırları arasında güzel gazellerinin yanı sıra hattat ve musikişinaş bir Enderun şairi olmasıyla temayüz etmiştir. Şiirlerinde kendine has bir söyleyişe sahip olan Nâşid, sanat ve edebî şahsiyetini daha çok gazellerinde göstermiştir. Bu makalede Nâşid’in şairlik kudretini yansıtan “bak” redifli yek-âvâz gazelinin şerhi yapılmıştır. Şairin bak redifli gazeli az söz ile yazılmış, yer yer sade ve ahenktar, aynı zamanda veciz ve derin manalar ihtiva eden klasik bir gazeldir. Bu hususiyetlerinin yanı sıra Nâşid’in “bak” redifli gazeli şairin kabuller dünyasını, edebî şahsiyetini ve sanat kudretini göstermesi bakımından da önemlidir.
MEHMED HÂLİS’İN HZ. ALİ SÖZLERİNDEN SEÇTİKLERİ: ENVÂRÜ’L-EDEB
Authors: CEYHAN Adem
Published: March 2024

Türk edebiyatı tarihinde Hz. Ali’ye nisbet edilen güzel sözlerden daha ziyade yüz ve aşağı-yukarı ikiyüz küsürünün tercüme yahut şerh edildiği bilinmektedir. Anılan yüz söz çeviri ve açıklamaları, çoğu itibarıyla meşhur Arap yazarı Câhız (ö. 255/869) tarafından derlenen Mie Kelime’nin, ikiyüz küsür olanlar ise Tabersî’nin (ö. 548/1154) Nesrü’l-leâlî ismi altında elifba harfleri sırasına göre bir araya getirdiği 290 kadar vecizenin tercüme veya şerhleridir. Bununla birlikte nadir denebilecek az sayıda olsa da Âmidî’nin (ö. 550/1155) Gurerü’l-hikem...’inden seçilmiş sözlerin tercümesine de rastlanmaktadır. Daha çok Sultan II. Abdülhamid devrindeki Hazîne-i Hâssa müsteşarlığı ve eski eser alım-satımıyla tanınan Mehmed Hâlis Efendi (ö. 1340/1922), Gurerü’l-hikem’den seçtiği 496 Arapça sözü Türkçeye çevirip onlardan yirmi-yirmi beş kadarını kısaca şerh de ederek Envârü'l-edeb adıyla 1324 (1908-1909) yılında bastırmıştır. Bu çalışmada Hâlis Efendi’nin hayatı ve kütüphanesi hakkında bilgi verildikten sonra söz konusu eseri Latin harflerine ve günümüz Türkçesine çevrilerek okuyucuların incelemesine arz edilmiş; böylece 1995’te mütercim adı anılmaksızın ve sadeleştirilmiş olarak yayımlanan o kitapçığın hem diliçi çevirisi hem de Latin alfabesine aktarılmış asli hâliyle neşredilmesi hedeflenmiştir.