bluuebunny/crossref_metadata_2025 huggingface dataset:
Estrategias de marketing de los productores de alimentos locales: profundizando en la multifuncionalidad rural
Authors: Rubio Pastor María Ángeles , Fandos-Herrera Carmina , Mercadé Melé Pere
Published: January 2024

La demanda de alimentos locales está experimentando un impulso en el mercado, debido a que los consumidores reconocen en ellos no solo ciertos atributos de calidad sino también el apoyo al desarrollo del medio rural donde se elaboran. Como respuesta, los pequeños productores locales se valen de páginas web, blogs y redes sociales para establecer la estrategia de marketing con la que tratan de adaptarse a las nuevas demandas. Esta estrategia se basa, principalmente, en conectar con sus consumidores y generar variados espacios de interacción. Las actividades de co-creación agroalimentaria en torno a productos locales son unas de estas nuevas formas de interacción, donde no solo importa el producto en sí, sino el conjunto de experiencias vividas que aportan un valor añadido. Para que estas sean plenas se revela fundamental la participación de distintos agentes del territorio y la multifuncionalidad de sus actividades en el medio rural.
Turus Card: E-Money Islamic Boarding School With Strenghts Approach, Opportunities, Aspirations, Result (SOAR)
Authors: Munawan Fita Nurotul Faizah , Rifki Priatna
Published: January 2024

Tujuan penelitian ini adalah mengetahui bagaimana implementasi penggunaan e-money turus-card di Balai Pendidikan Islam Yayasan Pondok Pesantren Turus Pandeglang dengan pendekatan SOAR. Jenis penelitian ini adalah field research dengan metode kualitatif. Sementara itu, sumber data berupa primer meliputi wawancara dan observasi serta sekunder dengan dokumentasi. Hasil penelitian menunjukkan

bahwa e-money menjadi solusi untuk mempermudah transaksi, pencatatan dan pelaporan yang lebih cepat dan praktis. E-money T-Card termasuk kategori open loop karena difungsikan sebagai alat pembayaran, berjenis chip based registered karena identitas pengguna dan nilai uang di dalamnya tercatat dalam kartu pemegang dan terdaftar pada penerbit. T-Card ini menggunakan akad sarf, akad wadi’ah, akad qard, dan akad jual beli (al-bay’), serta akad ijarah berdasarkan perspektif Ekonomi Islam. Dengan berbagai potensi posifif yang ada, melalui pendekatan SOAR pesantren dapat memanfaatkan peluang yang ada untuk mencapai hasil yang optimal.
Characterization of TERRA 9 repeat G4-binding RHAU peptides by Fluorescence Resonance Energy Transfer
Authors:   Ho Chi Minh City Open University, Vietnam, Đặng Dũng Thanh
Published: January 2024

Introduction: TERRA (telomeric repeat-containing RNA) is a G-quadruplex (G4) noncoding RNA that plays a part in cancer and aging. Here, we report the use of a fluorescence resonance energy transfer (FRET) approach to explore the binding mode of TERRA 9 repeat G4-binding RHAU peptides. Methods: RHAU peptide was genetically incorporated with the fluorescent protein CFP/YFP, resulting in the generation of the fluorescent protein FRET and RHAU55-CFP/RHAU55-YFP. Results: A strong hetero-FRET was observed when TERRA 9 repeats were added to the RHAU55-CFP/RHAU55-YFP mixture, indicating that TERRA 9 repeats could form G4 structures and simultaneously bind multiple proteins fused with the RHAU peptide. Conclusion: This provides a useful approach for regulating the telomere elongation process by a complex of TERRA and functional proteins fused with the RHAU peptide.
ASSISTANCE IN PRODUCING NIB AND HALAL CERTIFICATES FOR MSMEs, IN PEKALONGAN AND SURROUNDINGS
Authors: Shofie Azizah  , Kholifah Al Rosyadah Hafidhoh , Sultan Mubarok Muhammad
Published: January 2024

Micro, Small and Medium Enterprises (MSMEs) in the Pekalongan area and surrounding areas always experience an increase every year. However, many MSMEs in Pekalongan Regency do not fully understand the importance of having business legality. Apart from issuing a Business Identification Number (NIB), halal certification is also a form of legality for food and beverage products, which is the main focus of several MSMEs. This community service activity aims to help create business legality for MSMEs. The method used in this community service activity is through three stages, namely, 1) Preparation stage 2) Implementation stage 3) Production stage. Business legality has an important role for business actors, one of the business legalities is the Business Identification Number (NIB) and Halal Certification. These two aspects of legality provide significant benefits, including making it easier for business actors and providing the necessary legal guarantees
IMPLEMENTASI SOSIALISASI PEREMPUAN DAN PEMILU DALAM MENINGKATKAN KEMAMPUAN MASYARAKAT PEDESAAN UNTUK BERADAPTASI DAN TETAP TEGUH PADA MASA ENDEMI DI DESA KARYA TANI
Authors: Yusnety Yeni , Nur Sfafira Meilda , Puspitasari Feni , Darmiwati
Published: January 2024

Dalam rangka meningkatkan kemampuan masyarakat pedesaan dalam menghadapi masa endemi, implementasi kegiatan sosialisasi perempuan dan pemilu memiliki potensi besar untuk mencapai solusi dan hasil yang positif. Kesimpulan dari langkah-langkah ini adalah sebagai berikut: Partisipasi Pemilu yang Lebih Aktif: Kegiatan sosialisasi dapat mendorong perempuan di pedesaan untuk berpartisipasi aktif dalam proses pemilu, menciptakan representasi yang lebih baik dan demokrasi yang lebih inklusif. Peningkatan Pengetahuan dan Keterampilan: Masyarakat pedesaan akan memiliki pemahaman yang lebih baik tentang cara menghadapi endemi dan keterampilan yang diperlukan untuk mengatasi tantangan dalam situasi darurat. Perubahan Sosial Positif: Melalui kampanye kesetaraan gender, sosialisasi ini dapat berdampak pada perubahan sosial yang lebih besar, menghasilkan lingkungan yang lebih inklusif dan adil bagi perempuan di pedesaan. Kesiapan Lebih Baik: Masyarakat pedesaan akan lebih siap menghadapi endemi dengan pengetahuan dan kesiapan yang mereka peroleh melalui kegiatan sosialisasi. Peningkatan Akses Teknologi: Perempuan di pedesaan akan mendapatkan manfaat dari akses yang ditingkatkan ke teknologi, memungkinkan mereka untuk mengikuti pemilu dan mengakses informasi yang relevan. Penguatan Kemitraan: Kemitraan dengan lembaga pemerintah, LSM, dan organisasi masyarakat sipil dapat memperkuat implementasi kegiatan sosialisasi dan memberikan dukungan yang berkelanjutan bagi masyarakat pedesaan. Peningkatan Kesadaran Kesehatan: Lebih banyak masyarakat pedesaan yang akan menerapkan praktik-praktik kesehatan yang benar selama masa endemi, mengurangi risiko penyebaran penyakit. Dengan demikian, implementasi kegiatan sosialisasi perempuan dan pemilu bukan hanya akan meningkatkan partisipasi dalam pemilu, tetapi juga mempersiapkan masyarakat pedesaan untuk mengatasi tantangan endemi dan menciptakan perubahan sosial yang lebih positif. Kegiatan ini harus didukung oleh perencanaan yang matang, kolaborasi yang kuat, dan evaluasi berkala untuk memastikan keberhasilan jangka panjang dalam memenuhi tujuan sosialisasi ini.

Keywords: Sosialisasi, Perempuan, Pemilu, Pedesaan, Masa Endemi.
Industrial injuries in agriculture
Authors:   Kh. Dosmukhamedov Atyrau University, Sabirova R. , Аndabayeva G. ,   Al-Farabi Kazakh National University, Alibekova A. ,   Kyzylorda Open University
Published: January 2024

Compliance with the requirements of labour protection, labour safety of workers in agriculture ensures the preservation of life and health of the rural population, reducing the risk of serious injury. At work, including in agriculture, industrial injuries threaten the health and even the life of the rural population, up to premature death. The purpose is to consider the causes of industrial injuries of workers employed in agriculture, analyse statistical data on accidents in agriculture, and make recommendations for its prevention. The analysis of statistical data on industrial injuries and accidents in agriculture was carried out, a comparative analysis of domestic and foreign experience with a literature review was carried out. Based on the Content analysis, hazardous production factors leading to accidents and injuries in agriculture were widely considered. Thanks to the study, the causes of industrial injuries in agriculture and the factors leading to accidents were identified, recommendations on measures for their prevention were given. Based on foreign experience, studies of industrial injuries in agriculture are considered. Analysing the indicators of occupational injuries for the corresponding period of time, we conclude about their dynamics in economic activities, in various sectors of the economy and in the state as a whole.
Analysis of citizens’ participation in the management of independent budget of local self-government
Authors:   Academy of Public Administration under the President of the Republic of Kazakhstan, Ismailova R. , Kalymbetova A. ,   H.A. Yassawi International Kazakh-Turkish University
Published: January 2024

Involvement of citizens in the budget management of local self-government remains an open question due to the lack of a clear mechanism for their participation in this process, but without which it is impossible to carry out reforms to decentralize public administration. The purpose of this study is to identify the main problems and identify tools for involving citizens in the process of self-government by the budget of rural territories. The article presents the results of a sociological survey that allowed us to determine the degree of citizens’ participation in the management of the budget of local self-government using two main dimensions: the assessment of citizens’ involvement and the assessment of citizens’ participation in the management of the budget of the fourth level. The novelty of the expected results consists in the development of recommendations to ensure the flexibility of the mechanism of interaction between the state body and the population, aimed at increasing the customer orientation of state bodies and stimulating the activities of both public organizations and individual citizens. This is due to the fact that it is necessary to eliminate formalism when holding meetings of heads of state bodies with the population, business and public associations.
The Green economy: implementation of "Demoethics” principles for sustainable development of environmental compliance and corporate social responsibility
Authors:   National Engineering Academy of the Republic of Kazakhstan, Zhanbayev N. , Madenova A. ,   Ministry of Ecology and Natural Resources of the Republic of Kazakhstan, Sagintayeva S. ,   Karaganda University named after Academician E. A. Buketov
Published: January 2024

Goal: Conceptual analysis of “green” economy tools through the implementation of environmental compliance and corporate social responsibility based on the concept of “Demoethics” for sustainable development. Methods: The study utilizes a general methodological approach, namely a systemic approach, which includes methods of logical, statistical analysis and synthesis, goal setting, and goal decomposition. Results: The development of a “green” economy through the implementation of effective practices of corporate social responsibility and environmental compliance should be based on the concept of “Demoethics” which is based on the idea that sustainable development of society can only be achieved through adherence to ethical rationalities that can ensure a balance between the economic, social, and environmental needs of humanity. The paradigm of sustainable development is based on ethical rationality, which includes ensuring the basic needs of people, reducing socio-economic inequality, respecting cultural values, and environmental responsibility. Conclusions: The integration of education and upbringing, a well-developed mind, acquisition of knowledge, scientific principles, and honest labor make a certain contribution to sustainable development. Therefore, democratic principles shape ethical rationality in society, and their effective implementation in corporate social responsibility and environmental compliance allows for improving the quality of life of the population and the competitiveness of society
Economic efficiency of organic wheat production
Authors:   Saken Seifullin Kazakh Agro Technical Research University, Tokenova S. , Mataibayeva G. ,   Saken Seifullin Kazakh Agro Technical Research University, Makysh S. ,   L.N. Gumilyov Eurasian National University
Published: January 2024

The aim of the study is to determine the economic effect of organic wheat production in comparison with traditional and No-till technologies, which predetermine a change in the nature of consumer preferences in the food market. The article analyzes the advantages and disadvantages of organic wheat in accordance with the cultivation technology (traditional, No till). In accordance with the purpose of the study, the following tasks were solved: the advantages of organic products over products grown in the traditional way were formulated; a comparative analysis of costs, yields and prices, profitability for growing traditional and organic spring wheat was carried out, the experience of European organic farmers was analyzed; changes in the composition of price and non-price factors of demand for organic agricultural products were revealed farms, that is, despite the high price of organic wheat, there is a demand from consumers who are ready to buy it. It is concluded that it is necessary to maintain fair competition in the food market, as well as the availability of information on certification requirements and the quality of organic products to ensure equal access of producers to the market and environmental safety.
Assessment of value orientations, social attitudes and life goals of students through a social survey
Authors:   Esil University, Turekulova A. , Shukeev U. ,   Esil University, Beisengalyev E. ,   Esil University
Published: January 2024

The article focuses on the young generation, because at a young age value orientations are developed, in which the very essence of a person is revealed; a worldview is formed as a system of generalized ideas about the world as a whole, the surrounding reality, other people, oneself and readiness to be guided by it in activities; a conscious, generalized, summarized attitude to life is formed, allowing to come to the problem of the meaning of human life. The scientific article presents the results of the study to determine the value orientations, social attitudes and life goals of student youth. In the course of the study the peculiarities of youth were identified, the main factors that influence the formation and specificity of values and orientations of the young generation were determined, as well as the motives for choosing a profession, social attitudes and life goals of young people were identified. The study was conducted on the basis of a sociological survey, in which young people of Zhambyl and Mangistau regions participated. The survey was conducted by means of questionnaires, which were distributed among respondents in conditions of personal contact. According to the results of processing the respondents' questionnaires recommendations were made, which will allow to choose a social position independently, to develop value orientations, to form a conscious attitude to life.
Scientific basis for achievement of sustainable competitiveness of a tourist destination
Authors:   Bukhara State University, Ibragimov N.
Published: January 2024

The article examines the scientific basis for increasing the competitiveness of tourist regions (destinations) of Uzbekistan by ensuring sustainable development. Production and consumption models based on three principles of sustainable tourism development; “7M Concept” of competitiveness of a tourism region; three-dimensional system of internal tourism are scientifically substantiated. 5 models of the process of forming tourist flows in the tourism market of Uzbekistan from the point of view of demand are proposed. A forecast has been developed for the types of tourism services the need for will increase and decrease by 2030 in Uzbekistan. The macro information space of the country has been studied, which consists of 1) formal macro information spaces, 2) partially formal macro information spaces and 3) informal macro information spaces. A methodology has been developed for classifying tourism zone brands by regional scale, brand composition and logo shape, as well as a tourism region brand formula. Five CIS countries were comparatively analyzed, combining the methodology of brand classification by composition, the method of determining the quality of the offer in the slogan, the result of the regional brand strategy and the rating of national brands to determine the competitiveness of the tourism brand of Azerbaijan, Armenia, Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan.
Labor organization as a factor in ensuring the development of the socio-production system
Authors:   Karaganda University of Kazpotrebsoyuz, Borbasova Z. , Ulakov S. ,   Karaganda University of Kazpotrebsoyuz, Nessipbayev R. ,   Karaganda University of Kazpotrebsoyuz
Published: January 2024

The main factors of production are labor, raw materials, labor items, machinery and technology. Consequently, the subject of increasing the efficiency of production is the corresponding relations with respect to the use of labor, its objects, equipment and technology. Everything else is the subsequent products of labor, that is, in what capacity the organization of labor is carried out, its result is ensured. Such an installation should be adopted on the basis of the development of measures aimed at improving production efficiency. Every enterprise and every business should correctly understand that making a profit is the end result of ensuring the efficiency of production processes and the use of labor resources. In practice, Production management pays more attention to the efficient use of production resources than labor. The cost of these material and technical resources is much higher than the cost of labor. However, at the same time, he loses sight of one very important circumstance, that is, labor is a source of ensuring the efficient use of production resources. Production costs directly depend on the organization and quality of labor and labor processes, the level of qualification of the performer (labor), his interest in the final result.
Macro-anatomical Investigations on the Plexus Lumbosacralis of the Aksaray Malakli Dog
Authors:   Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Aksaray University, Aksaray, Turkey., Alperen Fidan Muhammet , Özüdoğru Zekeriya ,   Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Balıkesir University, Balıkesir, Turkey., İlgün Ramazan ,   Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Aksaray University, Aksaray, Turkey.
Published: January 2024

Background: In this study, cadavers of 5 adult Aksaray Malakli breed dogs were used to examine the structure of the lumbosacral plexus, which provides innervation of the hindlimb and pelvic region. Objectives: This study aimed to determine the nerve root composition of the lumbosacral plexus, determine the branching patterns, map the nerve directions macro-anatomically, and collect data for future comparisons with similar breeds. Methods: The corpses were kept in a formaldehyde pool (10%) for 14 days. After this period, the anatomical area was dissected using appropriate techniques to identify the lumbosacral plexus nerves and roots. The course and origin of the nerves forming the plexus were identified and photographed. Results: In all 5 cadavers, the lumbosacral plexus originated from the L4-S3 nerves. The plexus comprised n. ischiadicus, n. tibialis, n. obturatorius, n. femoralis, n. saphenous, n. pelvini, n. pudendus, n. cutaneus femoris caudalis, n. peroneus communis, and n. gluteus caudalis. Conclusion: It was determined that n. femoralis was formed from the ventral branches of the L4 and L5 nerves and the cranial branch of the L6 nerve. N. obturatorius originated from the caudal branch of L5 and the ventral branch of L6. It was determined that n. ischiadicus originated from the L6 caudal, L7 and ventral branch of S1 nerves. The femur branched into n. tibialis and n. peroneus communis (n. fibularis) at the level of extremitas distalis.
Anatomical Study and Determination of the Animal Bones and Teeth Samples of the Excavation of Qareh Tape Sagzabad (Qazvin Province, Iran) in 2018 (Iron Age II and III) and Making 3D Models
Authors:   Anatomy Sector, Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran., Zehtabvar Omid , Dehpahlavan Mostafa ,   Department of Archaeology, Faculty of Literature and Humanities, University of Tehran, Tehran, Iran., Akbarein Hesameddin ,   Department of Food Hygiene and Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran., Masoudifard Majid ,   Department of Surgery and Radiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran., Molabirami Marjan ,   Institute of Archaeology, University of Tehran, Tehran, Iran., Hojjatzade Zahra ,   Graduated from the Faculty of Veterinary Medicinre, University of Tehran, Tehran, Iran., Jafari Mahdieh ,   Department of Archaeology, Faculty of Art and Architecture, Bu-Ali Sina University, Hamedan, Iran.
Published: January 2024

Background: Zooarchaeology shares close ties with Comparative Anatomy of Veterinary Medicine. This scientific discipline involves the study of the bones of various animals, using anatomical information to explore the place and role of these animal species in life and human survival, thereby enriching our knowledge about the interaction of humans and their ecosystems. Objectives: Using available anatomical information, this study investigated the typology of bone remains and animal teeth in the area of Qareh Tepe, Segzabad (Qazvin Province, Iran). Another goal was to detect the abnormal effects created by humans or animals in bones, such as cuts, burns, or chewing effects by carnivorous animals. By extracting this information, it is possible to analyze the livelihood economy of that historical site correctly. Methods: A total of 1110 bone and teeth samples excavated in 2017 were analyzed. The samples were transferred to the Osteology Lab of the Anatomy Department of the Faculty of Veterinary Medicine, University of Tehran, Tehran City, Iran. Anatomical studies were conducted in several stages based on the excavated samples. Results: Among the detected animal samples, the highest percentage (30.09%) was related to sheep samples, and then the samples of small ruminants (26.94%) (which could not be separated). The percentages of gazelle, Asian water buffalo, wild boar, and chicken were trivial and less than 1%. In this study, abnormal symptoms were detected in the phalanges of the Caspian horse. Conclusion: One of the remarkable points about the small ruminant samples separated at the species level in this study is that the number of sheep samples detected surpassed that of goats. It seems that the conditions for keeping sheep were more suitable. The number of Perissodactyla, especially horses, shows a significant increase compared to the Neolithic periods and the beginning of the complexity of Iron Age I technology. This finding indicates the use of horses and donkeys in agriculture and transportation activities.
Morphological and Molecular Detection of Dicrocoelium dendriticum Infection in Ruminants
Authors:   Department of Microbiology, College of Veterinary Medicine, University of Mosul, Mosul, Iraq., Hamid Mohammed Nadia
Published: January 2024

Background: Dicrocoeliosis is a parasite disease that affects the liver of domestic and wild ruminants. It is one of the challenges in the livestock industry that causes significant diseases and economic losses. Objectives: This study aimed to identify Dicrocoelium dendriticum in sheep and cattle using their morphological and molecular characteristics. Methods: The current study examined 122 sheep and cattle livers from both sexes slaughtered in butcher shops. Found worms were selected randomly from the livers of sheep and cattle. They were stained for parasite morphometric measurements studies and macroscopic examination of the liver considering the color, consistency, and size. Molecular methods confirm the diagnosis of D. dendriticum in cattle and sheep. Results: The infection rates of D. dendriticum parasite in sheep and cattle were 34.4% and 10.7% respectively. The results showed a significant difference in the infection rate between sheep and cattle, while there is no significant difference between females and males in both sheep and cattle. Macroscopic diagnosis of the infected livers showed discoloration, swelling, wrinkled needle-spot shape and hyaline, the sharpness of liver margins loss, and biliary fibrosis. D. dendriticum was morphologically identified in all specimens collected from the sheep and cattle. The molecular examination confirmed the diagnosis of these parasites, which belonged to the species D. dendriticum, with a product reaction of 900 base pairs. Conclusion: This study is the first to isolate and detect D. dendriticum in sheep and cattle and to overview the genotype compositions of D. dendriticum.
An Overview of Future Development Methods of Infectious Bronchitis Vaccines
Authors:   Department of Poultry Diseases Vaccine Research and Production, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension, Karaj, Iran., Motamed Najmeh
Published: January 2024

Vaccines are major disease-controlling tools in human and animal practices. Vaccination controlled or even eradicated a long list of diseases worldwide. Classic viral vaccines are usually composed of live or inactivated whole viruses and have been produced for many years. However, they are unsuccessful, especially in persistent infections, fast-evolving viruses, complex and compound antigens, and emerging agents. Novel vaccine development technologies such as DNA, protein, or viral vector vaccines have revolutionized vaccine development and opened a new horizon for study and research in vaccine research and production vision. Newly-developed vaccines, or even most traditional ones, are based on new technologies, especially in human diseases where cost and complications in production can be ignored. However, in animal health, especially for commercial poultry production, the cost of development, simplicity, and mass application of large-scale production cannot be overlooked. In recent years, the significance of producing novel vaccines has been highlighted in parallel with technological advancement, especially with emerging novel variants of infectious bronchitis viruses—serious poultry pathogens for years. In this review, we will introduce some studies on novel vaccine development techniques and investigate the results of those vaccines in the protection of chickens and their clinical outcomes.
A Secure and Optimization Based Clustering for Vertical and Horizontal Fragmentation in Distributed Database Management System
Authors: D. Sahithi  , Dr J. Keziya Rani
Published: January 2024

Distributed database systems are increasingly important due to the massive data output, and their effectiveness is largely based on their design. Two key processes, fragmentation and allocation, are used to improve the efficiency and efficacy of these systems. Effective data fragmentation requires both horizontal and vertical categorization of tuples. Advanced optimization techniques are used for both fragmentations, such as the Enhanced Arithmetic Optimization (EAO) algorithm with Opposition-based Learning (OBL) and Levy Flight Distributer (LFD) for vertical fragmentation and the hybrid Aquila Optimizer (AO) with Artificial Rabbit Optimization (ARO) algorithm for horizontal fragmentation. The fragmented data is securely transmitted using the Fully Homomorphic Encryption (FHE) algorithm. The implementation is executed using the Python language, and the performance of the proposed algorithms is evaluated using different performance parameters. The execution time analysis shows that the proposed EAOA algorithm consumes 5.5 seconds for vertical fragmentation, while the hybrid AARO algorithm takes 5.9 seconds for horizontal fragmentation. The vertical fragmentation is found to be better than the horizontal one in DDBMS.
Innovations in Explainable AI : Bridging the Gap Between Complexity and Understanding
Authors: Keshav Jena
Published: January 2024

The integration of Artificial Intelligence (AI) into various domains has witnessed remarkable advancements, yet the opacity of complex AI models poses challenges for widespread acceptance and application. This research paper delves into the field of Explainable AI (XAI) and explores innovative strategies aimed at bridging the gap between the intricacies of advanced AI algorithms and the imperative for human comprehension. We investigate key developments, including interpretable model architectures, local and visual explanation techniques, natural language explanations, and model-agnostic approaches. Emphasis is placed on ethical considerations to ensure transparency and fairness in algorithmic decision-making. By surveying and analyzing these innovations, this research contributes to the ongoing discourse on making AI systems more accessible, accountable, and trustworthy, ultimately fostering a harmonious collaboration between humans and intelligent machines in an increasingly AI-driven world.
Automated Facial Recognition based Attendance System using OpenCV in Python
Authors: Avoy Sain  , Samrat Dutta  , Rimpi Saha  , Unmesh Mandal
Published: January 2024

Face detection and recognition systems work by detecting faces present in an image or in a video frame and identifying the person in the image. In this work, we are interested in face detection to achieve an automatic attendance system. This work is implemented using Python and can be operated from any standalone device. This automated system stores the attendance records of students/employees with proper timestamps in the local Secondary Memory. All these records are stored date-wise. The implementation of an Automated Facial Recognition based Attendance System can help in identifying and verifying a person’s identity from a digital source in real-time. Accurate attendance records are very important for classroom evaluation in schools and colleges. It also helps to keep track of the attendance of the employees in different organizations. The traditional system of manual attendance tracking in institutes can result in errors and missed or duplicated entries. The adoption of the Face Recognition-based attendance system could help eliminate these problems and shortcomings of the classical manual attendance system. The proposed work is tested with different persons with different age groups and genders in real time. The system successfully identifies the proper persons with significant accuracy and records their attendance.
Silencing the Scammers: Effective Strategies in Credit Card Fraud Detection
Authors: Kunika Singhal  , Nandini Singhal  , Mohit Jain  , Kartikey Singh  , Rashmi Pandey
Published: January 2024

The amount of fraud has recently grown. This fraud includes your personal information or sensitive data, which someone can steal. Financial fraud is increasing significantly with the development of modern technology. Companies and financial institutions lose large amounts due to fraud. Fraud analytics combines big data analysis techniques with human interactions to help detect fraud.
Credit card fraud is a pervasive and costly problem for individuals, businesses, and financial institutions worldwide. It involves the unauthorized use of someone's credit card information to make fraudulent transactions, leading to financial losses and potential harm to the cardholder's credit score. Detecting and preventing credit card fraud is a critical concern in the modern financial ecosystem, and it relies on advanced technologies and data analysis techniques.
Towards Effective Intrusion Detection in OpenFlow-Based SDN Architectures
Authors: Dylan Da Costa  , Omkar Pradip Naik  , Omkar Randeep Pawar
Published: January 2024

This research article develops and assesses a thorough intrusion detection system (IDS) to investigate improvements in security inside Software-Defined Networking (SDN) environments. With an emphasis on packet-level analysis for the detection and mitigation of possible network intrusions, the study explores the integration of IDS features into SDN controllers. The suggested IDS is simulated and empirically assessed in a variety of network circumstances, such as traffic fluctuations, delay changes, and increased iperf scenarios, using a Mininet-based framework. The research advances our understanding of efficient intrusion detection techniques inside the SDN paradigm by providing insights into security issues and possible solutions for upcoming SDN deployments.
SoftCell: Scalable and Flexible Cellular Core Network Architecture
Authors: Sathvik Reddy Thogaru  , Harshitha Parupalli  , Avanthika Makkena
Published: January 2024

SoftCell is introduced as a scalable architecture for addressing challenges in cell core networks, characterised by means of inflexible and highly-priced gadget, at the side of complex control-plane protocols. This answer leverages commodity switches and servers to permit high-quality-grained policies for cellular gadgets. SoftCell allows the implementation of high-stage carrier regulations, directing site visitors through sequences of middleboxes based totally on subscriber attributes and packages. To optimize forwarding tables, the architecture aggregates traffic across numerous dimensions, along with carrier coverage, base station, and cell tool. Fine-grained packet classification is carried out at get admission to switches to deal with state and bandwidth necessities effectively. SoftCell guarantees that packets from the identical connection traverse the equal middlebox collection in each guideline, regardless of mobility. The effectiveness of SoftCell is established via evaluation of real LTE workloads, micro-benchmarks on the prototype controller, and massive-scale simulations, showcasing progressed scalability and versatility in cellular middle networks.
Automatic Generation of Network Function Accelerators Using Component-Based Synthesis
Authors: Sai Teja Nagapuri  , Rajasree Tella  , Meghana Reddy Guntireddygari
Published: January 2024

The document discusses the development of a compiler called SyNAPSE, which aims to address the challenge of programming for multiple hardware targets in networked systems. It focuses on optimising the performance, efficiency, and resource consumption of networked systems by dividing packet processing across multiple hardware platforms. The key problem it is solving is the difficulty in developing high-performance network functions for multiple platforms, each with its own programming language and hardware features. SyNAPSE aims to provide a solution that allows for 'write once, run anywhere' code that is portable across different platforms and automatically provisioned on the hardware best- suited for the task. It explores a large search space of different mappings of functionality to hardware, allowing for optimization based on programmer- specified objectives such as minimising memory consumption or maximising network throughput.
Plausibility of BBR as CUBIC’S Replacement and proposed improvement to BBR using GENET
Authors: Dr. Kunwar Asif  , Hemanjali Kadali  , Sathwik Varma  Mudduluri  , Pawan Sai Krishna Reddy Kerelly
Published: January 2024

Recent advancements in deep reinforcement learning (RL) have opened new avenues for enhancing network congestion control algorithms. Our research builds upon these developments, particularly focusing on the BBR (Bottleneck Bandwidth and Round-trip propagation time) congestion control algorithm. We propose integrating GENET's reinforcement learning framework, a novel training paradigm that has demonstrated success in various network adaptation algorithms, including adaptive video streaming, congestion control, and load balancing. GENET leverages curriculum learning to effectively train RL models by progressively introducing more challenging network environments. This method counters the common pitfalls in RL training, such as suboptimal performance in a wide range of environments and poor generalization in narrowly defined training scenarios. Our approach exploits the strengths of GENET in identifying and emphasizing network conditions where the current RL model underperforms compared to traditional rule-based baselines, thereby facilitating significant improvements. This research aims to demonstrate that applying GENET's methodology to the BBR congestion control algorithm can yield RL policies that surpass both regularly trained RL policies and conventional baselines, thereby advancing the efficiency and reliability of network congestion control.
NER Based Law Entity Privacy Protection
Authors: Ardon Kotey  , Allan Almeida  , Hariaksh Pandya  , Arya Raut  , Rayaan Juvale  , Vedant Jamthe  , Tejan Gupta  , Hemaprakash Raghu  , Naman Gupta  , Lalith Samanthapuri
Published: January 2024

Within the field of legal AI, named entity recognition, also known as NER, is an essential step that must be completed before moving on to subsequent processing stages. In this paper, we present the creation of a dataset for the purpose of training natural language understanding models in the legal domain. The dataset is produced by locating and establishing a complete set of legal entities, which goes beyond traditionally employed entities such as person, organization, and location. These are examples of commonly used entities. Annotators are now provided with the means to effectively tag a wide variety of legal documents thanks to these additional entities. The authors tried out several different text annotation tools before settling on the one that proved to be the most effective for this study. The completed annotations are saved in the JavaScript Object Notation (JSON) format, which makes the data more readable and makes it easier to manipulate the data. The dataset that was produced as a result includes approximately thirty documents and five thousand sentences. Following that, these data are use in order to train a pre-trained SpaCy pipeline for accurate legal named entity prediction. There is a possibility that the accuracy of legal named entity recognition can be improved by performing additional fine-tuning on pre-trained models using legal texts.
Studies on Polystyrene/Polymethyl methacrylate Thin-Films: Structural and optical Properties
Authors: C. B. Gandigudi  , M. N. Somashekar
Published: January 2024

The thin film blends such as Polystyrene (PS) and Polymethyle Mythcrylate (PMMA) were prepared by dip coating technique. Pure and blended forms of thin films are to be characterized in the context of FTIR and XRD methods for micro structural analysis. AC conduction properties of polymers in the frequency range 10 kHz to 10 MHz at various temperatures (303–343 K) are reported and studies suggest that electron hopping is responsible for conduction. The activation energies associated with these thin films and optical properties are also studied.
OPEN-AMZPRE : Optimized Preprocessing with Ensemble Classification for Amazon Product Reviews Sentiment Prediction
Authors: Prof. Aparna Hote  , Dr. Dev Ras Pandey
Published: January 2024

Customer feedback plays a vital role in helping consumers make informed purchasing decisions. Understanding customer opinions and preferences through sentiment analysis is crucial. However, existing sentiment analysis methods face challenges when dealing with noisy, unstructured text data, leading to limitations in accuracy, precision, recall, and F1-score. To address these limitations, this paper introduces OPEN-AMZPRE, an innovative solution for sentiment prediction in Amazon Product Reviews. Unlike traditional approaches that rely on standard techniques like tokenization and stopword removal, OPEN-AMZPRE utilizes a comprehensive preprocessing pipeline. This pipeline includes various steps such as text normalization, lowercasing, handling rare words, expanding contractions, removing HTML tags, tokenization, removing stopwords, replacing slang words, removing digits, stemming, lemmatization, punctuation and special character removal, white space removal, spell checking and correction, and removal of duplicate text. Additionally, the proposed algorithm employs an ensemble classification approach by combining optimized versions of K-Nearest Neighbors (KNN), Naive Bayes, J48 (C4.5 decision tree), and Random Forest classifiers. The hyperparameters of each classifier are tuned to achieve optimal accuracy and performance. By combining the outputs of these classifiers, the algorithm produces robust sentiment predictions. The methods of accuracy, precision, recall, and F1-score are utilized to improve sentiment prediction and provide valuable insights for both consumers and businesses in relation to Amazon Product Reviews.
Технологія профілюючої підготовки команди з черліденгу в номінації «чер» з урахуванням індивідуальних особливостей спортсменів
Authors: Герасимчук Катерина
Published: January 2024

Анотація. Для успішного виступу команди в черліденгу необхідне врахування індивідуальних особливостей спортсменів та розробка технологій організації навчально-тренувального процесу, що дозволяють забезпечити поступове закріплення рухових стереотипів і планомірну адаптацію рухового потенціалу черлідерів до вимог змагальної діяльності. Мета. Теоретично обґрунтувати та розробити структурно-логічну схему реалізації технології профілюючої підготовки черлідерів з урахуванням індивідуальних особливостей спортсменів і специфіки дисципліни (номінації). Методи. Аналіз та інтерпретація науково-методичної літератури; узагальнення емпіричних даних з проблеми спортивної підготовки спортсменів у черліденгу; моделювання. Результати. З урахуванням профілів провідних якостей спортсменів-черлідерів розроблено технологію, що інтегрує комплексні і локальні блоки профілюючих вправ, спрямованих на акцентоване вдосконалення фізичної (загальної та спеціальної), спеціальної технічної підготовки спортсменів з урахуванням їх функціональної ролі у змагальних виступах. Технологія передбачає три послідовні етапи реалізації (діагностувальний, організаційно-технологічний, контрольно-корекційний) і спрямована на поступове вирішення таких завдань: удосконалення фізичних якостей, необхідних для виконання змагальної програми шляхом оволодіння алгоритмами змагальної програми в номінації «Чер»; автоматизація спортивної техніки, закріплення стереотипів профільних (базових) рухових дій з урахуванням вимог змагальної діяльності; розвиток виконавської майстерності, командної взаємодії, емоційно-вольової сфери спортсменів, їх стійкості до стресу засобами профілюючих вправ.

Ключові слова: технологія, черліденг, профілююча підготовка, чер-команда, індивідуальні особливості, спортсмени.
Тренувальні засоби різної спрямованості для удосконалення фізичних якостей бігунів на середні дистанції на етапі спеціалізованої базової підготовки
Authors: Бобровник Володимир , Пугачов Дмитро , Ткаченко Михайло
Published: January 2024

Анотація. В теорії спортивної підготовки та сучасної спортивної практики існує кілька класифікацій змагальних і тренувальних навантажень. Найпоширеніша класифікація використовується в ряді циклічних дисциплін. Вона має п’ять зон інтенсивності, або потужності (аеробна відновлювальна, аеробна розвиваюча, змішана аеробно-анаеробна, анаеробна гліколітична, анаеробна алактатна), які лягли в основу обґрунтування та відбору основних компонентів фізичних якостей, необхідних у підготовці кваліфікованих спортсменів, які спеціалізуються у бігу на середні дистанції на етапі спеціалізованої базової підготовки. Мета. Удосконалення тренувального процесу кваліфікованих бігунів на середні дистанції шляхом розробки груп тренувальних засобів різної переважної спрямованості для удосконалення основних компонентів фізичних якостей (загальної витривалості, спеціальної витривалості, швидкості, швидкісно-силових якостей, спритності, гнучкості). Методи. Аналіз науково-методичної літератури, індивідуальних планів підготовки бігунів на середні дистанції, опитування (анкетування, бесіда, інтерв’ю) провідних тренерів України з бігу на витривалість (середні та довгі дистанції), узагальнення передового досвіду бігунів, аналіз протоколів змагань, пульсометрія, методи математичної статистики. Результати. Розроблено шість груп вправ та методику їх застосування для вдосконалення основних компонентів фізичних якостей бігунів на середні дистанції, які застосовують спортсмени на етапі спеціалізованої базової підготовки. Розроблені групи засобів для удосконалення основних компонентів фізичних якостей, необхідних для бігунів на середні дистанції на етапі спеціалізованої базової підготовки, є основою накопичення рухового потенціалу в досягненні високих спортивних результатів в умовах змагальної діяльності та активно застосовуються на різних етапах річних циклів підготовки спортсменів.

Ключові слова: легка атлетика, біг на середні дистанції, компоненти фізичних якостей бігунів, підготовка кваліфікованих спортсменів, зони інтенсивності, групи вправ, методика застосування, етап спеціалізованої базової підготовки.
Hegemonic Knowledge and Situated Knowledge
Authors: SAGNANE SAIKOU OUMAR
Published: January 2024

What is power? What is knowledge? What is the link between power and knowledge? This paper interrogates the relationship between knowledge and power in the context of Guinea's epidemic crises and political events. It draws on observational data collected during the Ebola epidemic (2013-2016), the Covid-19 pandemic (2020-2022), and the ongoing military transition in the country since September 2021. The article first looks at the conception of the relationship between power and knowledge in decolonial literature and the writings of Amadou Hampâté Bâ. The text then describes this relationship in the context of the Ebola and Covid-19 epidemics, and in the ongoing political transition. Finally, the analysis provides an epistemological reflection on knowledge-situated in Guinea to rethink the conceptual and empirical research perspective on the production and circulation of (academic) knowledge in the country's knowledge ecology.
Reframing Global North–South Collaborations Through the Lenses of Aware, Connect, Empower (ACE) Principles
Authors: Sehoole Chika , Strang Karen , Otieno Jowi James , McVeety Melanie
Published: January 2024

This article provides an analysis of how equitable, inclusive, and meaningful partnerships between the Global South and Global North, which have been characterized by challenges (Kumar 2019), can be established and enhanced by minimizing the power dynamics that undermine their intended goals. This article argues for a relook and disruption of the current models of partnerships and collaborations that have over the years not worked well for partners in the Global South by proposing a consideration and adoption of more responsive and mutually beneficial options through the ACE (Aware, Connect, Empower) principles. The ACE principles provide for new ways of action, including alternative strategies for equitable collaborations across cultures and regions. This includes the adoption of the African Ubuntu philosophy advocating for the creation of awareness amongst partners in collaboration with the need for transformations and empowerment to enable students to gain both intentional intercultural and international experiences.