bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relatively Prime Domination Number in Triangular Snake Graphs
Authors: A. Anat Jaslin Jini  
Published: November 2024

A set S⊆V is said to be relatively prime dominating set if it is a dominating set with at least two elements and for every pair of vertices u and v in S, (deg⁡(u),deg⁡〖(v))〗=1 and the minimum cardinality of a relatively prime dominating set is called relatively prime domination number and it is denoted by γ_rpd (G). If there is no such pair exist, then γ_rpd (G)=0. For a finite undirected graph G(V,E) and a subset V, the switching of G by is defined as the graph (V, ) which is obtained from G by removing all edges between and its complement V- and adding as edges all non-edges between and V- . This article delves into the discussion of the relatively prime domination number on triangular snake graphs and their complements. The findings reveal that for triangular snake graphs, the relatively prime domination number γ_rpd(G^v) equals either 2 or 3. Similarly, for alternate triangular snake graphs, the γ_rpd(G^v) is determined to be 2 or 3. In the case of double triangular snake graphs, the relatively prime domination number γ_rpd(G^v) is established as 2, 3, 4, or 6, while for double alternate triangular snake graphs, it is 2, 3, or 4. Notably, the complements of alternate triangular, double triangular, and double alternate triangular snake graphs exhibit a relatively prime domination number of 2.
Suggesting Approximation and Exact Algorithms to Solve New Tri-Criteria Machine Scheduling Problems
Authors: Mohammed Muter  
Published: November 2024

This study presents the multi criteria single-machine model. The machine scheduling problem (MSP) for n tasks on a single machine involves minimizing a function of three criteria: total completion time (C_j), maximum earliest (E_max), and tardiness (〖ΣT〗_j), This is an NP-hard issue.
Within this work's theoretical section, we present the mathematical formulation of The presented topic then highlights the usefulness of the dominance rule (DR), which may be used to develop effective solutions. While in the practical part, one of the important exact methods; The proposed MSP tricriteria are solved by applying the Branch and Bound (BAB) method, which finds a set of efficient solutions for 1//F(ΣC_j ,ΣT_j ,E_max) up to n=100 jobs. The BAB approach finds the efficient solutions for the issue in an acceptable amount of time. In addition, we provide two heuristic approaches to address the problem in order to obtain appropriate approximations. The two proposed approaches' good performance is demonstrated by the practical experiments.
Solution of Partial Differential Equations and Their Application by Three Parameters of Integral Transform
Authors: Nour K. Salman  
Published: November 2024

This article explains the Nour integral transform technique and denoted by "NO transform ", it's fundamental hypothesis and its power to solve the exact solution of partial differential operator equations (PDOE's) have been introduced and shown by the exact solution of various elementary engineering partial differential operator equations such as: wave partial equation, heat partial equation, Laplace’s partial equation, telegraph partial equation, and Klein-Gordon partial equation.
Analytical Solution of Chemical Reaction Systems using Kinetic Models
Authors: Kaleeswari. S  
Published: November 2024

It encompasses multiple model kinds, such as spatially distributed versus homogenous, discrete versus continuous, and stochastic versus determinist. Among all chemical reactions, oscillating reactions are the most exciting. Here, the reactant and auto catalyst are the two chemical species that make up the system. The analysis of chemical reaction processes by mathematical approaches has also a long history. We now shift our focus to mathematical frameworks for the deterministic kinetics of mass motion. On the positive orthant, these models are systems of related nonlinear differential equations. Reaction-diffusion equations with a nonlinear term resembling Michaelis-Menten's enzymatic reaction kinetics form the basis of the model. In this work, the New Homotopy perturbation method yields a preliminary analytical solution for all values of parameter to the nonlinear differential equations analysing the concentrations in mass-action kinetics and Michaelis - Menten enzyme kinetics, also known as the hill binding kinetics. A satisfactory level of agreement is found when these results are compared to the numerical result.
Neural Differential Equations: A Comprehensive Review and Applications
Authors: Anjali Nair  
Published: November 2024

The field of neural differential equations has witnessed significant growth in the past decade, with a notable increase in published literature. This approach offers several advantages, including the ability to model complex, nonlinear systems and the potential for extrapolation beyond the observed data. There is a need of systematic overview in implementing the use of neural networks in solving differential equations and their special cases. This work is a discussion on architectures of neural networks used in NDEs, training methodologies and applications across various domains. The current work reviews and categorizes earlier study and gives guidelines to mathematicians, researchers in computer science and engineering. Also, it includes advantages of NDEs and some current challenges and research questions in the field of NDEs.
Introduction: The field of neural differential equations has witnessed significant growth in the past decade, with a notable increase in published literature. This approach offers several advantages, including the ability to model complex, nonlinear systems and the potential for extrapolation beyond the observed data. There is a need of systematic overview in implementing the use of neural networks in solving differential equations and their special cases. This work is a discussion on architectures of neural networks used in NDEs, training methodologies and applications across various domains. The current work reviews and categorizes earlier study and gives guidelines to mathematicians, researchers in computer science and engineering. Also, it includes advantages of NDEs and some current challenges and research questions in the field of NDEs.
Conclusions: The authors have discussed the observations of ODEs, Neural network and the literature review of NDEs. The overall framework of neural networks for solving differential equations is also covered in this paper. This paper also includes general features of neural algorithms for solving differential equations. Neural networks may approximate any continuous system and stabilize the training process with the help of suitable activation functions. It allows us to solve problems more quickly without wasting processing power or memory. The parallel nature of the network helps to minimize the complexity of the problems, as demonstrated by a comparison with the exact solution, along with modeling various dynamical processes. Additionally, one can solve fractional differential equations using Neural network and many more applications based on it.
A Study on Catastrophic Retrial Feedback Queueing Network Model with Three Nodes in Steady State
Authors: S. Shanmugasundaram  
Published: November 2024

Queueing networks, which are effectively used for performance analysis of various systems, including computer, communications, transportation networks, and manufacturing, are discussed in this article. Under the catastrophic condition, we evaluate a queueing network with feedback and retrial for single server. In the third node the customer can decide whether feedback or leave the system with probabilities t, u and 1-t-u. Also using Little's formula, we are determining the likelihood of having idle customers and determining n number of customers in the system. We are deriving for the above model. The purpose of the numerical example gives the richness of our result and the feasibility of this concept.
Microwave Propagation in Circular Quarter Wave Transformer made of Teflon and K-12 Composite
Authors: Surendra Kumar  
Published: November 2024

Introduction: The business is developing at an extremely quick rate and the prerequisite for the recently made material is generally there for the high-recurrence applications. There are different polymers and clay materials and there are composites currently accessible in the business for high-recurrence applications. Polymer ceramic composites are being used for high frequency applications. The quarter-wave transformer offers a relatively simple method of impedance matching for many RF applications. Low loss circular quarter wave transformer is important for the circular microwave devices like phase shifters antennas etc which is realizable using Fused silica and K12 polymer ceramic composites.
Objectives: Objective of this research work is simulation and fabrication of the circular quarter wave transformer at X-band using TEFLON-K-12 polymer ceramic composites.
Methods: The Teflon and K-12 composite was used to fabricate the circular Quater wave transformer for microwave applications. The composite slab was machined to create the bare circular rod. The bare quarter wave transformer was sputtered in a closed chamber in the silver target. The sputtered rod creates a circular Quater wave transformer that is filled with Teflon-K-12 composite.
Results: The insertion loss of the circular Quater wave transformer was found 0.05 dB. Thus, a circular Quater wave transformer is formed with polymer and ceramic composite a new material for low loss microwave applications. The practical value holds good in agreement with the theoretical approaches.
Conclusions: The Teflon and K-12 composite was used to fabricate the circular Quater wave transformer for microwave applications. The measured S –parameter results of the circular Quater wave transformer were found satisfactory, and it is found suitable for the low loss microwave propagation. The quarter wave transformer is able to match impedances 50 ohms and 100 ohms.
Design and Evaluation of Electrical Protection for Grid-Connected Microgrid with Renewable Energy Resources
Authors: Shailesh Madhavrao Deshmukh  
Published: November 2024

The objective of this article was to establish the dependability of the Over Current protection (OCP) technique in safeguarding microgrids that use inverter connected Renewable Energy Sources (RES) for lower-voltage distribution channels. The simulation program was used to conduct OCP system experiments to demonstrate its dependability. The simulations included contrasting the system's performance in grid-connected mode, both with and without RES production, and in the island state. The calculations are performed with a lower-voltage distributing system design. The average relay tripping time for single line-to-ground (SLG) faults via grid mode, without RES systems, is 0.131 seconds. For line-to-line (LLL) faults, the mean tripping time is 0.121 seconds. Regarding RES generators, the mean relay tripping duration climbed to 0.199 seconds and 0.135 seconds, combining both. This is caused by the fault current generated by the addition of RES production, which limits the current detected by the specified Over-Current (OC) relays. The results indicated that a few Over-current relays failed to activate during the island scenario, resulting in a lack of synchronization and reduced fault currents. In the island scenario, the system underwent further testing at various generation ranges (15%, 50%, and 80%), revealing a slight disparity in mean tripping time across different generation stages.
Evaluating the Effectiveness of Transfer Learning for Predicting the Risk of Autosomal Recessive Diseases Using Pre-Trained Deep Learning Models.
Authors: Ashwini A. Pandagale  
Published: November 2024

Given the large degree of genetic variability and complicated aggregation, the order of autosomal recessive ataxias faces a significant challenge. As new innovations are developing for extended targeted quality testing, we conducted a thorough intentional review of the literature to look at all recessive ataxias in order to suggest another grouping and suitably embrace this field. The most well-known autosomal recessive genetic disease in the Caucasian population is cystic fibrosis. Expanding knowledge about sub-atomic pathology from one angle enables better description of the changes in CFTR quality and from another viewpoint builds the persuasive force of atomic testing. Accurately predicting endurance in cystic fibrosis (CF) patients can help determine the optimal timing for lung transplantation (LT) in patients with end-stage respiratory disease. Current recommendations state that if the restricted expiratory volume (FEV1) is less than 30% of theoretical, the patient should undergo her LT test. Although FEV1 certainly plays a role in CF-related death, we expected endurance behavior in CF patients to show significantly more variability. Since it is automated, clinical practitioners might very well use it to build prognostic models without needing a deep understanding of machine learning. Our studies showed that the model developed using Auto Prognosis is more accurate than existing rules and other competing models.
Dynamic Analysis of Multi-Storey Building for Minimization of Lateral Displacement due to Earthquake Using Shear Wall
Authors: Kushalkumar Yadav  
Published: November 2024

Shear wall are one of the most commonly used in Multi-Storey buildings for resisting the lateral load. In this paper, the multistorey building is modeled and analyzed by STAAD-Pro Software. Building with shear wall is analyzed using STAAD-Pro software and the comparison is done withmodelwithout shear wall. The main focus on the studies of seismic behavior of shear wall in multi-storey building and it will be discussed in detail. The calculation is done by using the IS Code IS 1893:2002, criteria for earthquake resistant design of structures part 1 general provisions and buildings. And the use of IS456:2000, and IS875:1987also have been done in this paper. The results of Displacements and storey drift havebeen computed in both the cases with and without shear wall in STAAD-Pro by using Response Spectrum Method and areobserved as, buildings, employing shear walls at the exterior corners leads to an impressive 77.28% reduction in displacement, while placing them in the middle of the exterior wall achieves a slightly higher reduction of 77.63%. This emphasizes the effectiveness of shear walls in both configurations, with a marginal advantage for the latter.
Convolutional Neural Networks (CNNs) for detection of Eye Diseases in an Effective Manner
Authors: S. P. Pingat  
Published: November 2024

Introduction:
This thesis concentrates on advancing a deep learning system for the precise classification of eye illnesses. Employing the Convolutional Neural Network (CNN) algorithm and Tkinter for GUI, the interface safeguards an intuitive and user-friendly experience. The system effectively identifies various eye conditions, including glaucoma, cataracts, diabetic retinopathy, among others.
Objectives: The main goal of this thesis is to offer a reliable and efficient solution for classifying eye diseases through deep learning techniques by addressing the critical need for timely and accurate diagnosis. The significant contributions of this thesis include: Publication of new datasets beneficial to researchers in the field. Enhancement of a robust segmentation approach, applicable to various retinal conditions, including diabetic retinopathy.
Methods: A supervised learning approach adopted to train the CNN algorithm with an extensive dataset of eye images. The system achieved an impressive accuracy in classifying eye diseases, underscoring its effectiveness in identification and diagnosis. Development of a hybrid characteristic extraction method from segmented objects, utilized by the classifier for detecting glaucoma and other eye diseases.
Results: This system will be able to detect and diagnose the diseases which are related with Eys which will help patients to take care of eyes from further complications. Furthermore, with advancements in portable retinal cameras, integrating the proposed method can facilitate the diagnosis of glaucoma and other eye diseases, thereby enhancing the detection rate, especially in growing nations.
Conclusions: The developed system significantly enhances the accuracy and efficiency of eye disease diagnosis, enabling early detection and treatment. The integration of Tkinter for GUI and the color-blind test feature improves the user experience, making the system more accessible to a broader audience. This thesis underscores the potential of deep learning techniques in medical diagnosis, presenting a valuable tool for healthcare professionals and patients alike.
تقييم مضادات الميكروبات مضادات الأكسدة والمحتوى الكلي للفينولات لمستخلصات السنا سنا في السودان
Authors: Ali Mustafa Ahmed , A. A. Omer Haifa 
Published: November 2024

Abstract:
The objective of the present study was the assessment of the antimicrobial and antioxidant activities of Senna italic., from n-hexane, chloroform, ethyl acetate and methanol extracts. In addition, the total polyphenol, flavonoids and tannins contents of these extracts were determined and; were screened for their antimicrobial activity using cup diffusion assay against four standard strains of bacteria, two Gram-positive strains (Bacillus subtitles and Staphylococcus aurous), two Gram-negative bacterial strains (Escherichia coli and Pseudomonas aeruginosa) and two fungal strains (Aspergillums Niger and Candida barbicans). Antioxidant activity was screened using 2,2-Di(4-tert-octylphenyl)-1-picryl-hydrazyl stable free radical (DPPH). Total polyphenol
ОПТИМИЗАЦИЯ РАБОТЫ ИНФОРМАЦИОННОЙ СИСТЕМЫ РОЗНИЧНОЙ торговли с помощью NoSQL
Authors: Н.П. ОРЛЯНСКАЯ , В.А. ТЕШЕВ , В.В. Ткаченко 
Published: November 2024

Авторами предложен вариант цифровизации бизнес-процессов предприятия розничной торговли (а также интернет-магазина), базирующийся на нереляционных базах данных MongoDBи Redis и, на их основе, реализовано web-приложение для автоматизирования бизнес-процессов сети маленьких магазинов и реализации и интерфейса интернет-магазина при помощи технологии NextJS. Использование популярной технологии NoSQL позволит сделать такую систему гибкой и масштабируемой. Разработанная архитектура взаимодействия интерфейса приложения с базой данных, использующая кэширование позволит достичь оптимальной производительности. Отличие разработанной информационной системы от имеющихся на рынке программного обеспечения фирменных продуктов в том, что она является кроссплатформенной. Так как было разработано приложение на основе web-технологий, оно может запускаться и успешно работать на всех платформах в web-браузере (Windows, MacOS, Linux, Android и iOS). Использование нереляцинных баз данных не только значительно повышает быстродействие обработки больших объемов данных, но и позволяет изменять их структуру в процессе работы, что особенно важно для розничной торговли.
The authors proposed a variant of digitalization of business processes of a retail enterprise (as well as an online store), based on non-relational databases MongoDB and Redis and, on their basis, a web application was implemented to automate the business processes of a network of small stores and the implementation and interface of an online store using NextJS technology. The use of popular NoSQL technology will make such a system flexible and scalable. The developed architecture of interaction of the application interface with the database, using caching, will achieve optimal performance. The difference between the developed information system and branded products available on the software market is that it is cross-platform. Since the application was developed based on web technologies, it can be launched and successfully operate on all platforms in a web browser (Windows, MacOS, Linux, Android and iOS). The use of non-relational databases not only significantly increases the speed of processing large volumes of data, but also allows you to change their structure during operation, which is especially important for retail.
Pengembangan Olahan Nanas Gambut sebagai Produk Unggulan Daerah dalam Keberlanjutan Program Zero Waste pada Kelompok Tani Tunas Makmur di Sungai Pakning-Bengkalis
Authors: Karneli Okta , Mandataris Mandataris , Ihsan Muhammad , Wasillah Asiah , Safitri Syofiatul 
Published: November 2024

Kegiatan pengabdian kepada masyarakat yang dilakukan oleh tim Dosen Fakultas Ilmu Sosial dan Ilmu Politik penerima hibah adalah ingin memperlihatkan, mengenalkan, membantu dan memberikan wawasan kepada seluruh anggota Kelompok Tani Tunas Makmur, Dusun Kampung Jawa, Sungai Pakning, Kabupaten Bengkalis dalam mengolah nanas gambut menjadi sebuah produk yang memiliki nilai tambah serta menjalankan program zero waste dalam pengolahannya. Tindakan ini memang membutuhkan sebuah proses yang panjang. Kegiatan pengabdian ini dengan sasaran yaitu Kelompok Tani Tunas Makmur. Kegiatan selanjutnya dilaksanakan bersama Peserta/anggota Kelompok Tani Tunas Makmur adalah berupa pengenalan pada keunggulan buah nanas beserta berbagai turunan yang dapat dihasilkan dari buah nanas. Kegiatan pengenalan ini dilakukan dengan metode penyuluhan. Dengan pengenalan ini, Peserta memiliki pengetahuan mengenai turunan-turunan nanas yang memiliki nilai jual. Pengolahan turunan nanas tidak hanya terbatas pada buah, namun daun nanas juga memiliki nilai jika diolah dengan tepat.
BREVE ANÁLISE DA TRAJETÓRIA DA FAMÍLIA JANENE À LUZ DA CULTURA POLÍTICA
Authors: Marcelino Carla Andréia Alves da Silva 
Published: November 2024

A família Janene, alvo deste artigo, é uma das famílias estabelecidas em Londrina-PR e dentre os seus mais de trinta anos de história política da cidade, sempre esteve em evidência na mídia, ligada a fatos supostamente ilícitos, sendo citado o seu envolvimento em casos de corrupção, estando também envolvidos na operação da Polícia e da Justiça Federal, conhecida como Lava-Jato. Pretende-se fazer uma breve análise da trajetória de José Janene e seus familiares, à luz dos conteúdos sobre cultura política. Para tanto, serão apresentados dados biográficos e de trajetória social da referida família, elaborados a partir do conceito de trajetórias de Pierre Bourdieu; após, far-se-á uma análise desta trajetória a partir de conceitos como clientelismo e mandonismo, pautados principalmente nos autores Tereza Sales, José Murillo de Carvalho e Vitor Nunes Leal. Como resultado de tais análises temos que Janene fez parte de um círculo vicioso: investiu dinheiro em política, obteve retorno financeiro da política, investiu mais e obteve mais dinheiro ainda e, na medida em que ganhou mais dinheiro, obteve mais poder político, chegando a ser apontado como “o político que mandou no Brasil”. Apesar de ter sido uma liderança do PP por quase toda a sua carreira política, Janene transitou tranquilamente por outros partidos, estando registradas as suas relações com PT, PMDB e PDT, com influência política e “negócios” expandidos para outros Estado do Brasil, além do Paraná, confirmando as teses sobre cultura política apresentadas pelos autores já mencionados, de que a organização da política brasileira se dá a partir da política local, individualizada em seus “caciques”, os quais por meio dos cargos e funções ocupadas em âmbito local conseguem, por meio de várias estratégias, dentre elas o clientelismo, ganhar projeção em outras esferas (estadual e nacional), comprovando que o clientelismo é um fator integrador da política no Brasil atualmente e que este não é apenas uma retórica ou um conceito vazio, mas sim um prática política de resultados garantidos, a qual acirra as desigualdades sociais, cerceia a distribuição de recursos e empobrece a oferta das políticas públicas.