bluuebunny/crossref_metadata_2025 huggingface dataset:
A Machine Learning-Based Intelligent Framework With Two-Step Process For Leveraging Cybersecurity In Internet Of Things Use Cases
Authors: Masarath Saba  , Soumya Terala  , Dr. Imtiyaz Khan  , Nagendra Babu Rajaboina4  , My Lapalli Kanthi Rekha  , Dr. D.Shravani
Published: December 2024

With the growing use of Internet of Things (IoT) applications, it's crucial to prioritize security, as IoT devices are limited in resources and susceptible to various attacks. Currently, global security standards for IoT architectures are not widely enforced. Traditional security approaches are not feasible due to the limited computational power and energy of IoT devices. Artificial intelligence (AI) has emerged as a technology that innovates solutions in various domains. Machine learning (ML) is widely used to solve real-world problems in AI. It is a learning-based approach that incrementally gains knowledge to enhance cybersecurity. Existing literature on IoT application security mainly focuses on attack detection and classification. In a recent paper, we proposed an ML framework with a two-step process to improve IoT application security. In the first step, we utilized ML models for attack detection. In the second step, we used the best-performing model to classify attacks by leveraging labels in the process. Our proposed algorithm, Learning-based Cyberattack Detection and Classification (LbCDC), was tested using the UNSW-NB15 dataset. The experimental results showed that our system could detect and classify cyberattacks, achieving 89.55% accuracy for attack detection and 95.97% accuracy for attack classification. This ML framework can be integrated into organizations' existing security platforms.
Deep Neural Ensemble Classification for COVID-19 Dataset
Authors: Fauzan Iliya Khalid  , Mokhairi Makhtar  , Rosaida Rosly  , Wan Mohd Amir Fazamin Bin Wan Hamzah  , Aceng Sambas  , Yousef A. Baker El-Ebiary
Published: December 2024

The COVID-19 pandemic has necessitated the development of accurate and efficient classification models for diagnosis and prognosis. While deep learning has shown promising results in various medical applications, its combination with ensemble methods, which amalgamate the predictions of multiple classifiers, can further enhance the model's accuracy. This research paper introduces a novel approach called Deep Neural Ensemble Classification (DNEC) to tackle the challenge of Developing an enhanced ensemble model using deep learning algorithms and comparing its performance with existing ensemble methods. The research problem stems from the literature gap, where existing studies primarily focus on single-model approaches, lacking in-depth exploration of ensemble methods for COVID-19 classification. Motivated by the potential improvement in classification accuracy through ensemble methods, this study aims to create a deep neural ensemble classification model to improve the classification accuracy tailored for COVID-19 data. A set of diverse classifiers, including k-nearest neighbour (IBK), decision tree (J48), naïve bayes (NB), support vector machine (SVM), and sequential minimal optimization (SMO), are utilized in the proposed ensemble method. The accuracy improvement of the ensemble classifiers is evaluated using various metrics such as precision, recall, F1 score, confusion matrix, and processing time. The proposed method demonstrates that IBK+SVM+NB emerges as the top-performing deep neural ensemble classifier with an accuracy score of 99.29% and a total run time of 27.61 seconds. The innovative ensemble techniques introduced in this research contribute to the existing body of knowledge by filling the identified literature gap and offering a novel and highly accurate approach for COVID-19 classification.
Predictive Insights Into Healthcare Data Breaches: A Time Series Forecasting Approach
Authors: Shagupta M. Mulla  , Dr. V. R. Ghorpade  , Javed J. Mulani  , Dr. T. M. Mulla
Published: December 2024

The healthcare industry is increasingly becoming a prime target for cyberattacks, with data breaches leading to significant financial losses, regulatory penalties, and compromised patient privacy. Traditional methods of breach detection are largely reactive, often identifying breaches only after they have occurred, leaving healthcare organizations vulnerable. In this research, we propose a proactive approach by applying time series forecasting techniques to predict healthcare data breaches, providing actionable insights that can help mitigate future risks.This study employs historical data on healthcare data breaches and applies various time series models, including AutoRegressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), and Long Short-Term Memory (LSTM) networks, to analyze and forecast breach trends. Through rigorous preprocessing and analysis, we address key time series components such as trend, seasonality, and cyclicality. Our models are evaluated using standard metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) to ensure accuracy and reliability.The results of this study reveal critical patterns in breach occurrences, including seasonal peaks and long-term trends that highlight vulnerable periods for healthcare organizations. The most effective forecasting model is identified, offering high predictive accuracy and allowing stakeholders to anticipate and respond to breach risks more effectively. These findings suggest that time series forecasting can serve as a valuable tool for healthcare providers and cybersecurity professionals to enhance their data security strategies.By forecasting potential breach events, this research not only contributes to the growing body of work on predictive cybersecurity but also provides practical insights for improving healthcare data protection. Future work may involve integrating advanced machine learning models to further refine breach predictions and expanding the approach to other sectors facing cybersecurity challenges.
Advanced Join Query Optimization Using Firefly and Reinforcement Learning Techniques on TPC-H Dataset
Authors: Karthikeyan M P  , Dr.Krishnaveni K
Published: December 2024

Join query optimization is a critical component of database management systems (DBMS), significantly influencing their performance and efficiency. This study delves into advanced optimization techniques by employing the Firefly Algorithm and its hybrid integrations with Deep Q-Network (DQN) and Double Deep Q-Network (DDQN) methodologies. Utilizing the TPC-H benchmark dataset, we rigorously evaluate the efficacy of these algorithms in optimizing complex join queries. The Firefly Algorithm, inspired by the luminescent communication of fireflies, serves as a powerful metaheuristic optimization technique, adept at navigating vast search spaces. To augment this method, we incorporate reinforcement learning via DQN and DDQN, enhancing the algorithm's capability to balance exploration and exploitation during the optimization process. Our empirical analysis reveals substantial performance gains with the hybrid DQN-Firefly and DDQN-Firefly approaches compared to the standalone Firefly Algorithm. These findings underscore the potential of these hybrid methods for practical implementation in database management systems, promising improved query optimization and overall system performance.
Deepincepnet: Disease Detection in Corn or Maize Plant Leaves Using Specim Iq Hyperspectral Imaging and Proposed Dnn Classifiers with Inception Networks
Authors: Praba V  , Dr. Krishnaveni K
Published: December 2024

This research proposes DeepIncepNet, a novel method that combines deep neural networks (DNNs) and hyperspectral imaging to identify illnesses in the leaves of corn or maize plants. The Specim IQ system was utilized to gather hyperspectral imaging data, which encompasses a broad range of wavelengths in spectral information. Using a unique DNN architecture, DeepIncepNet uses Inception Networks (InceptionV3) to classify healthy and damaged maize leaves. To assess the performance of the suggested model, it is compared to well-known architectures as InceptionV3, ResNet-50, and ResNet-101. The results of the experiments suggest that DeepIncepNet achieves greater robustness and accuracy in disease identification, highlighting its potential for early detection and treatment of diseases affecting the maize or corn plant.
Effectiveness For Work From Home On Employee Motivation And Work Performance In It Sector Tamilnadu
Authors: V. Mahalakshmi  , Dr. M.Banumathi  , Dr. S.Sankar
Published: December 2024

Motivation is an internal drive that activates behavior and gives its direction. The word motivation is coined from the Latin word “movere”, which means to move. The term motivation theory is concerned with the process that describes why and how human behavior is activated and detected. It is regarded as one of the most important areas of the study in the field of organizational behavior
Political Shakespeare: A Reflection Of Politics In Shakespeare’s Works
Authors: Ms. Saima Naved  , Ms. Syeda Amtul Raqeeb  , Ms. Syeda Humera
Published: December 2024

Shakespeare's plays have been historically intertwined with politics, reflecting the social and political realities of Elizabethan England. This research examines the political dimensions of Shakespeare’s works, exploring the influence of contemporary political events, the role of monarchy, and the use of Shakespeare's plays for political purposes throughout history. By analyzing plays such as Julius Caesar, Coriolanus, Henry V, and Richard II, this paper illustrates how Shakespeare addressed key political issues such as legitimacy, tyranny, civil war, and leadership. It also highlights how Shakespeare's works were adapted for political commentary in different historical and cultural contexts, emphasizing the lasting relevance of his plays in addressing power dynamics and governance. Through a detailed exploration of both Shakespeare’s personal context and the broader political implications of his works, the paper delves into the intersection of literature and politics, revealing the nuanced ways in which Shakespeare navigated the dangerous political landscape of his time.
New Operators Using Pythagorean Fuzzy Open Sets
Authors: A. Vadivel  , G. Gavaskar  , G. Saravanakumar
Published: December 2024

In this chapter, some new operators called pf (resp. pfδ, pfδP,pfδS,pfδα and pfδβ) frontier respective border and exterior with the help of pfos (resp. pfδos, pfδPos,pfδSos,pfδαos and pfδβos)’s in Pythagorean fuzzy topological spaces are introduced. Further, the important properties are discussed with examples. Also, Pythagorean fuzzy set is portrayed by membership and non-membership, more forceful to seize indeterminacy. Here we applied one similarity measures for decision making problem in Industry, and given solution for employee assignment for the project.
Revolutionizing Tuberculosis Treatment: Advanced Drug Delivery Through Nanotechnology
Authors: Nithya Varadarajan  , Theboral Annes  , Saranya Punniyakotti  , Sambasivam Gopinath  , Ramaiyan Velmurugan  , Hariprasath Solaimuthu  , Mahalakshmi Balan
Published: December 2024

Tuberculosis (TB) remains a significant global health threat, affecting millions worldwide, despite the existence of curative drugs with a success rate of over 90%. TB is the second leading cause of infectious disease-related deaths worldwide, after HIV. Recent advancements in drug delivery technologies have enabled effective targeting of antitubercular drugs (ATDs) to the infection site. Ongoing research in TB treatment focuses on leveraging innovative delivery systems, including nanoformulations in the form of liposomes, hydrogels, exosomes, dendrimers, microspheres, microbubbles, phytosomes, and micelles, to enhance treatment outcomes. This review aims to provide a concise update on the current state of nanoparticle-based delivery systems for targeted ATD delivery to the infection site.
Role Of Zncro4 and Graphene Mixture in Boosting Corrosion Resistance of Mild Steel
Authors: Dhivya Christo Anitha S  , Mary Jenila R
Published: December 2024

In the present work, graphene has been added with ZnCrO4 solution in mild steel to mitigate the metal corrosion. Graphene in the concentrations of 1, 2 and 3% were mixed with ZnCrO4 paint. Studies such as FT-IR, SEM, EDAX, AC impedance, cyclic voltammetry, and Tafel analysis were used to examine the physical properties of the materials. The inhibitory efficiency was measured using the weight loss method. The functional groups present in the material was examined using FT-IR spectroscopy. The morphology and shape behaviour of the prepared specimens was evaluated by scanning electron microscopy. The elemental composition of the specimen was determined using EDAX. The corrosion current density and linear polarisation resistance were calculated using Tafel analysis. AC impedance and cyclic voltammetry provide information on the protective layer that is created on the specimen to prevent corrosion. From the studies, it is understood that, graphene significantly enhances the corrosion resistance properties of mild steel.
Smart Parking: A New IoT-Based Ideas for Vehicle Parking
Authors: Love Kumar  , Manoj Varshney
Published: December 2024

Smart parking is an innovative solution leveraging Internet of Things (IoT) technology to optimize vehicle parking management. This concept addresses common urban challenges such as finding available parking spaces, reducing congestion, and enhancing overall efficiency. The system employs a network of sensors, including ultrasonic, magnetic, and camera-based technologies, to monitor parking space occupancy. These sensors communicate through wireless networks to a central cloud-based platform that processes real-time data and provides actionable insights. Drivers can access this information via mobile applications, allowing them to locate and reserve parking spots, make seamless payments, and receive navigation assistance. Smart parking systems offer significant benefits, including reduced search time for drivers, optimized use of parking spaces, lower emissions, and increased revenue through dynamic pricing. Despite challenges such as infrastructure costs and data security concerns, smart parking represents a crucial component of smart city initiatives, promoting sustainable urban development and improving the quality of life. Future advancements may include integration with autonomous vehicles, enhanced predictive analytics, and interconnected urban management systems, further revolutionizing the parking experience. The user can obtain parking information faster and spend less time looking for a spot. In order to prevent auto theft, RFID technology is employed.
IoT-Based Smart Bin Sensors for Efficient Landfill Management and Sustainable Disposal
Authors: Ushasree R  , Isha pandey  , Dr. Garima sinha  , Dr. Awaneesh jee Srivastava
Published: December 2024

The swift progress of technology has resulted in a exponential usage of E-waste (Landfill), posing significant environmental and health risks due to improper disposal methods. Traditional waste management systems are often inefficient, leading to the accumulation of hazardous materials in landfills. This paper introduces a novel solution leveraging Internet of Things (IoT) technology to address these challenges through the deployment of smart bin sensors designed specifically for landfill management.The proposed system integrates IOT-enabled sensors in waste bins to monitor fill levels, categorize types of landfill, and optimize collection schedules. These sensors communicate real-time data to a centralized platform, enabling efficient resource allocation and reducing the environmental impact of landfill. Additionally, the system incorporates machine learning algorithms to predict waste generation patterns, further enhancing operational efficiency.By implementing IOT-based smart bins, this solution aims to improve the sustainability of landfill disposal practices, reduce costs associated with waste management, and promote environmental conservation. The results from pilot projects demonstrate a significant improvement in the accuracy of waste segregation, timely collection, and overall system efficiency, underscoring the potential of IOT technologies in revolutionizing landfill management.
Evaluation Of Mechanical Properties Of Sustainable And Low Cost Coir Fiber Composite: An Experimental Approach
Authors: Surendra Singh Godara  , Bharat Goswami
Published: December 2024

Now day’s upcoming composites are concentrating on natural fiber like: Coir fiber; banana fiber; jute fiber and pineapple fiber etc. Natural fibers are used to make reinforced composites because of its accessibility, durability and adaptability. Simultaneously, these composites should be environment friendly, and its biodegradable. The emergence of green fibers leads to lesser ecological effect because of the biodegradable qualities in its production. The mechanical behaviors of coir fiber-reinforced composites in terms of tensile, flexural, impact, and hardness were tested, according to ASTM standards, and tested done in well proof lab (MRC lab in MNIT Jaipur). The short treated coir fibers were utilized in reinforcement composite material, with varying ratios of length and made 3 composites (C1, C2, C3) with 30% coir fiber, epoxy resin (LY-556) as matrix material, and hardener (HY-951) both took 70% as the ratio of 10:1 and fly ash as a filler material used last two composites (C4, C5), in C4 fiber-25%, metrix-70% and filler-5%, similar in C5 fiber-20%, metrix-70% and filler-10%.
Vision Bridge: Empowering Blind Individuals Using Machine Learning
Authors: Maguluri V. Lavanya  , B. Venkateswarlu  , Palvancha Shambhavi  , P. Rahul Das
Published: December 2024

Visual impairment and blindness are the usual outcomes of eye disorders. The World Health Organization estimates that 250 million people worldwide suffer from some form of visual impairment and 40 million individuals are blind. In their daily lives, they encounter a lot of difficulties, particularly when they are traveling alone. To cover their basic needs, they usually depend on help from other sources. Thus, it's a challenging task to establish a technology solution to support them. To assist the blind, numerous devices have been developed or visually impaired. One such endeavor is to create on the other hand, teaches blind sufferers to recognize and categorize every conceivable everyday object a voice warning the listener of both nearby and distant objects in their environment. Two distinct algorithms are used in the development of the system: Yolo is used for object identification, while GTTS (Google Text to Speech) is used for audio warnings. Both techniques are tested using the MS-COCO Dataset, which has about 200 K pictures. Webcams are used to assess both algorithms in a range of scenarios to be able to gauge each algorithm's accuracy under all conditions.
Strengthening of the Ecuciencia Platform through Data Analysis and Visualization at the Technical University of Cotopaxi
Authors: Silvana Marisol Zumba Santamaría  , Gustavo Rodríguez Bárcenas  , Rene Quisaguano Collaguazo
Published: December 2024

This applied research work focused on strengthening the Ecuciencia platform at the Technical University of Cotopaxi through the implementation of data analysis and visualization using Power BI and PostgreSQL. A quantitative approach with a descriptive design was employed to conduct an extraction, transformation, and loading (ETL) process that ensured data quality and consistency. The objective was to develop intuitive and meaningful key performance indicators (KPIs) to evaluate the scientific production of faculty, aiding informed decision-making. The dashboard validation indicated high satisfaction regarding its usability and interactivity, highlighting its relevance for the university community. The findings demonstrate the importance of visualization technologies in research, promoting a dynamic and collaborative environment. This model can be replicated in other institutions to foster a data-driven culture centered on innovation and scientific advancement.
Exploring AI-Powered Chatbots in English Language Learning: A Study on Effectiveness, User Experience, and Future Directions
Authors: Pasupuleti Venkata Ramana  , Dr. Sulagna Mohanty  , Dr. Yantsubeni Ngullie  , Dr. T. S. Rajeswari  , D. Abinaya  , Srishty Sharma  , K. K. Sunalini
Published: December 2024

The rise of Artificial Intelligence (AI) has revolutionized various industries, including education. Among the innovations, AI-powered chatbots are emerging as valuable tools for learning English as a second language (ESL). This paper explores the effectiveness of these chatbots in improving English proficiency, evaluates user experiences, and discusses potential directions for their future development. Drawing from case studies, surveys, and user testimonials, the paper highlights the benefits of interactive, personalized, and accessible language learning. Challenges such as technological limitations, cultural biases, and privacy concerns are also addressed. The findings suggest that AI-powered chatbots, when effectively designed and implemented, can complement traditional language learning methods, offering learners a flexible and engaging platform to practice and improve their English language skills. Future advancements in AI, natural language processing (NLP), and user-centric design are expected to further enhance their impact in education.
An Unusual Balloon Uncrossable Lesion
Authors: Masood Ishtiyaq
Published: December 2024

Rotational atherectomy (RA) has been studied in instent restenosis (ISR) and underexpanded, undilatable stents implanted in calcified lesions, but the data is limited. Further, ostial side branch (SB) lesions (Medina 0,0,1) are a difficult subset to treat and need an individualised approach. Our case report shows how RA helped in transverse partial stent ablation of ostial SB stent with significant main vessel protrusion.
Influence of Sharia Financial Literacy,Financial Attitudes And Perceptionson Interest In Using Sharia Banking
Authors: Haerany Anne , Aneza Sri
Published: December 2024

Sharia banking has been established in Indonesia for approximately 33 years, but its market share is still very small, namely around 7.21% of total commercial bank assets. This study aims to explain the effect of Islamic Financial Literacy, Attitudes and Perceptions of Finance on Interest in Using Islamic Banking Services with Religiosity as a Moderating Variable in Sharia Economics Students in Region 3 Cirebon. Quantitative research with purposive sampling data collection with 100 respondents. The data obtained was analyzed using SEM-PLS version 3.0 software. The results showed that Sharia Financial Literacy and Financial Attitudes did not have a significant effect on interest in using Islamic banking services, this was due to several factors including the lack of maximum Islamic financial literacy carried out so that it has not fostered understanding among students, as well as the financial attitudes of students, especially in region 3 Cirebon, have not reached the stage of making the right decisions in planning and managing their finances. While perceptions have a significant effect on interest in using Islamic banking services, this is influenced by information obtained from unpleasant past experiences related to conventional finance, news that develops about Islamic finance and the values adopted in the environment where they study. Religiosity cannot moderate Islamic Financial Literacy, Financial Attitudes, and Perceptions of Interest in Using Islamic Banking Services, this is because the value of religiosity used as a benchmark by students is still focused on matters of worship, but has not expanded to matters of muamalah.
Strategy to Increase Local Economic Competitiveness Through Local Wisdom-Based Creative Economy
Authors: Thalib Bahrun , Prihanto Purwaka Hari , Mu'ah Mu'ah
Published: December 2024

The competitiveness of the local economy is crucial for fostering sustainable growth, especially in the face of increasing global competition. One effective strategy to enhance competitiveness is through the development of a creative economy based on local wisdom. However, integrating local values into creative economy development strategies remains a significant challenge. This study aims to analyze the influence of Local Economic Competitiveness on the Creative Economy, with Local Wisdom serving as a mediating variable. A quantitative approach was adopted, using a survey method involving 110 purposively selected respondents, who are creative economy actors based on local wisdom, with at least two years of experience and from regions with notable local wisdom potential. Data were collected using a Likert scale-based questionnaire to measure Local Economic Competitiveness, Local Wisdom, and the Creative Economy. The analysis was performed using SmartPLS software, testing the outer model to assess instrument validity and reliability, and the inner model to evaluate relationships between latent variables. The results indicate that Local Economic Competitiveness positively and significantly affects the Creative Economy, both directly and indirectly through Local Wisdom. Local Wisdom plays a crucial role in strengthening the connection between local economic competitiveness and creative economy development. The findings suggest that strategies to improve local economic competitiveness should leverage local wisdom to foster innovative and sustainable creative economic growth, offering valuable insights for policymakers and practitioners in integrating local values into creative economy development.
Penggunaan Metode Design Thinking Dalam Perancangan Interface User: Literature Review
Authors: Nur Iffadah Yusrika , Fika Baraka  , Aghna Maula Gholib  , Yuni Sugiarti
Published: December 2024

Di era teknologi saat ini tentunya kita akan sering menggunakan perangkat lunak. User interface merupakan hal yang paling sering dilihat oleh pengguna. Desain interface yang bagus dapat membuat pengguna merasa nyaman sehingga dapat meningkatkan kepuasan terhadap pengguna hal ini dapat menyebabkan meningkatkan efektivitas dan efisiensi penggunaan aplikasi. Tujuan dari penulisan ini adalah untuk menilai seberapa berhasilnya penggunaan design thinking untuk perancangan interface user. Penelitian ini menggunakan metode system literature review, yaitu merupakan suatu jenis penulisan inkuiri yang diterapkan dengan cara menelusuri referensi sesuai dengan kerangka teori yang relevan pada permasalahan yang diteliti. Temuan dari penulisan ini adalah bahwa metodologi Design Thinking telah terbukti sangat efektif dalam berbagai konteks terkait pengembangan interface user. Hasil dari penulisan ini ditemukan bahwa metode design thinking terbukti secara konsisten mengidentifikasi kebutuhan dan preferensi pengguna serta mengembangkan solusi yang tepat sasaran dan efisien. Dalam setiap studi kasus, aplikasi yang dibangun dengan design thinking memperlihatkan peningkatan kepuasan pengguna, kemudahan penggunaan, dan efektivitas fungsional.
Perancangan UI UX Aplikasi Jemput Sampah Berbasis Mobile Menggunakan Metode Design Thinking
Authors: Setiana Putra Tobi , Hadiansyah Ma’sum
Published: December 2024

Penanganan sampah menjadi tantangan serius di banyak negara, termasuk Indonesia yang merupakan penghasil sampah terbesar kedua di dunia. Namun, kesadaran masyarakat terhadap pengelolaan sampah masih terbatas. Untuk mengatasi masalah ini, diperlukan pendekatan inovatif. Penelitian ini mengusulkan solusi berupa aplikasi mobile "P-Trash" yang dikembangkan dengan menggunakan metode Design Thinking. Melalui tahap-tahap seperti Empathize, Define, Ideate, Prototype, dan Testing, aplikasi ini dirancang untuk meningkatkan kesadaran masyarakat tentang pengelolaan sampah. Dengan antarmuka yang ramah pengguna dan fitur-fitur seperti proses login, pendaftaran, navigasi menu, serta pemesanan dan pemantauan jemput sampah, aplikasi ini diharapkan dapat mempermudah proses pengelolaan sampah. Evaluasi melalui pengujian Usability Testing menunjukkan kemudahan penggunaan aplikasi, sehingga "P-Trash" memiliki potensi untuk meningkatkan efisiensi pengelolaan sampah dan kontribusi masyarakat dalam menjaga lingkungan secara berkelanjutan.
Dinâmicas demográficas e habitacionais nas regiões metropolitanas do estado de São Paulo
Authors: Nazareth Lisbôa Cristian Roberto , Pozzi de Castro Carolina Maria , Vieira Rocha Luciani Maria
Published: December 2024

Este estudo apresenta o Índice de Crescimento de Domicílios e População (ICDP), uma métrica criada a partir da análise das taxas médias anuais de crescimento da população e do número de domicílios entre os anos de 2010 e 2022, como ferramenta preliminar para avaliar o desenvolvimento habitacional e o mercado imobiliário nas regiões metropolitanas do estado de São Paulo. O ICDP desempenha um papel importante ao identificar disparidades entre o crescimento populacional e a oferta de moradias em diferentes áreas, fornecendo subsídios essenciais para o planejamento urbano e a alocação eficiente de recursos. A análise dos dados aponta disparidades significativas nas dinâmicas demográficas entre as Regiões Metropolitanas (RMs) do estado de São Paulo. Enquanto a RMSP se destaca como a mais populosa, outras, como São José do Rio Preto, Sorocaba e Jundiaí, experimentam taxas de crescimento populacional mais acentuadas, indicando maior dinamismo demográfico nessas regiões. Ao avaliar o Índice de Crescimento de Domicílios e População (ICDP), observa-se que a maioria das RMs e municípios está testemunhando um crescimento significativo no setor imobiliário, onde o aumento no número de domicílios frequentemente supera o crescimento populacional, refletindo uma crescente demanda por habitações. As dinâmicas demográficas e habitacionais nas diferentes áreas metropolitanas do estado de São Paulo, fornecem informações valiosas para o planejamento urbano, investimentos e políticas públicas. A governança eficaz nas regiões metropolitanas é essencial para promover o desenvolvimento econômico e reduzir desigualdades regionais, garantindo que as cidades menores também se beneficiem do crescimento urbano.
Políticas públicas para o desenvolvimento Regional Sustentável
Authors: Carvalho Silva Carlos Hugo , Salgueiro Chacon Suely
Published: December 2024

A crise energética mundial tem trazido vários questionamentos, especialmente os ambientais, acerca dos impactos promovidos nas suas matrizes de geração. O presente artigo buscou avaliar o processo de funcionamento da política pública FNE Sol no estado do Ceará,desde o inicio da sua operação pelo Banco do Nordeste do Brasil (BNB) até 2022. Esta política foi criada com os objetivos da Política Nacional de Desenvolvimento Regional (PNDR) e tem por objetivo financiar projetos de energia através fontes renováveis. O artigo foi realizado a partir da Avaliação com Base na Sustentabilidade (ABS), buscando todos osseus ciclos da política em questão, utilizando o prisma do desenvolvimento sustentável e das suas dimensões de sustentabilidade. Foram usados os materiais documentais e bibliográficos acadêmicos, de instituições públicas e privadas, e informações dispostas na internet. A partir do exposto, foi possível concluir que a energia solar fotovoltaica é a alternativa sustentável que mais se desenvolve no mundo e no Brasil, especialmente pelo incremento financeiro e condições naturais da região Nordeste. O Ceará se destaca nacionalmente mesmo com muitopotencial ainda a ser explorado. No entanto, a forma como o FNE Sol vem sendo conduzido e operado, apesar de suas melhorias ao longo dos anos, o coloca muito aquém da sua potencialidade prevista. A falta de dinamicidade em relação às demandas sociais e do setor produtivo, e a burocracia estatal em demasia, terminam por provocar entraves que não permitem que o programa atinja plenamente seus objetivos enquanto política pública para desenvolvimento regional sustentável.
A incorporação da saúde ocupacional pela saúde assistencial no estado de São Paulo (2007-2021)
Authors: Spinola Luara , Marinho Maria Gabriela Silva Martins da Cunha , Facó Júlio Francisco Blumetti
Published: December 2024

A pesquisa aborda a falta de estudos sistemáticos sobre fusões e aquisições (F&A) no Brasil, concentrando-se em processos ocorridos entre 2007 e 2021 no setor de saúde ocupacional no estado de São Paulo. A investigação constatou a acumulação de eventos de compra de empresas de serviços de saúde ocupacional, predominantemente locais, por grandes corporações com atuação na saúde assistencial e abrangência nacional, impulsionadas por investimentos significativos a partir de 2007. Com base em relatos de executivos e dados oficiais, o estudo mapeia as semelhanças e especificidades desses processos, destacando duas principais motivações: expansão geográfica e racionalidade administrativa. Foram examinados onze casos em maior profundidade, revelando a transição do perfil dos executivos, de fundadores médicos para gestores com foco administrativo e financeiro, além das mudanças no modelo de gestão, que combinam práticas racionalizadas com aspectos culturais locais, alinhando-se às experiências brasileiras descritas na literatura. O panorama das operações evidencia as transformações corporativas e o objetivo de ampliar a gama de serviços de saúde, desde o assistencial até o ocupacional. Por outro lado, a ineficiência na gestão de custos no setor de saúde reforça a necessidade de sistematizar processos, com foco prioritário na racionalização do uso dos serviços e na otimização do atendimento.
O PAPEL DA ENFERMAGEM NO ENFRENTAMENTO A VIOLÊNCIA CONTRA A MULHER NEGRA: E COMO ENFERMAGEM PODEM AGIR NESSE ENFOQUE
Authors: Soares Alice Evelyn Araújo , Lima Cinthia Teixeira de , Oliveira Francisca Emanuele Freire de , Farias Jackeline de Souza , Batalha Maria Rita Pimentel , Simões Olivia dos Santos , Oliveira Adriano dos Santos , Martins Cleise Maria de Goes
Published: December 2024

Este artigo tem como objetivo trata de um assunto de extrema relevância no contexto atual, desta forma iremos apresentar como a violência contra a mulher negra no Brasil, que pode aumentar e como a enfermagem pode contribuir no enfrentamento a violência, e de que maneiras as unidades de saúde podem agir para um melhor atendimento as vítimas de violência. Com isso foi utilizado na pesquisa artigos, livros bibliográficos, sites da Internet. Verificou-se que ainda ocorre uma discriminação contra a mulher na sociedade brasileira, demonstrado pelos altos índices de violência, e que as mulheres negras são as que mais sofrem violência no Brasil. O objetivo geral: Conhecer e analisar sobre a Violência contra a mulher negra, tendo como objetivo especifico: realizar uma pesquisa sobre o papel da enfermagem no enfrentamento à violência e como as unidades de saúde podem agir nesse enfoque.
The Role of Local Textiles in Enhancing the Home Economy and Achieving Sustainability
Authors: Rawasi Muhand Ali Al-Khafaji
Published: December 2024

The article er aims to achieve the role of local textiles in enhancing the home economy and achieving sustainability that can be clarified as follows:
Detect the most prominent determinants of the role of local textiles in enhancing the home economy and achieving sustainability.
Pinpoint the role of local textiles in enhancing the home economy and achieving sustainability in the article sample.
Classify the significance of the difference in the role of local textiles in enhancing the home economy and achieving sustainability according to the department variable.
The article community included (200) female students from the University of Baghdad distributed among (Bio Department in the College of Science for Girls, Home Economics Department in the College of Education for Girls) tested randomly. The article er applied the scale of local textiles in enhancing the home economy and employed several statistical methods, including (discriminatory power) (for the scale paragraphs) the relationship of the paragraph score to the total score of the scale (paragraph validity) using Pearson's correlation coefficient, Cronbach's alpha coefficient. As such, the article er comes up with multiple results as follows:
The role of local textiles in enhancing the home economy and achieving sustainability is high from the point of view of the article sample.
There is a difference in the role of local textiles in enhancing the home economy and achieving sustainability according to the department variable and in favor of the bio department, because the calculated T-value is higher than the tabular T-value of (1.96) at the level of (0.05) and a threshold degree of (198).
Adversarial Conditions for Autonomous Vehicle Sign Recognition: A Dataset with Original and Distorted Images
Authors: Talathi Atharv Ashish , Jain Ayush
Published: December 2024

Autonomous vehicles rely on accurate sign recognition systems to navigate and respond effectively to various road conditions. However, these systems can be vulnerable to adversarial attacks, where small, often imperceptible changes to images cause significant misinterpretations by algorithms. To address this vulnerability, we introduce a dataset specifically designed to evaluate and improve the resilience of sign recognition models under adversarial conditions. This dataset includes high-quality images of standard traffic signs and corresponding distorted versions created using custom noise-generating algorithms that simulate real-world perturbations, such as added noise, visual occlusions, and other subtle alterations. The images were sourced from reputable online datasets and were resized to a uniform dimension of 32 × 32 pixels to maintain consistency for training and evaluation purposes. The dataset is structured to provide researchers and developers with a vital tool for training and testing autonomous vehicle recognition systems. By analyzing performance across both the original and altered images, researchers can enhance the robustness and reliability of these systems, making them better equipped to handle adversarial scenarios.
Penyuluhan Keselamatam Pelayaran dan Perawatan pada Mesin Tempel Bagi Nelayan di Pesisir Pantai Gandoriah Pariaman
Authors: Sarifuddin Sarifuddin , Syamsyir Syamsyir , Erlinda Nelfi , Yatno Langandrinsyah Dwi , Devin Hasri
Published: December 2024

Kegiatan ini kita dapat mengingatkan kesadaran masyarakat tentang manfaat keselamatan pelayaran dan perawatan mesin tempel khususnya di daerah Pesisir Pantai Gandoriah Pariaman. Melalui survei yang dilakukan, dapat diidentifikasi bahwa penyuluhan mengenai Keselamatan Pelayaran dan Perawatan pada Mesin Tempel memberikan hasil yang sangat bermanfaat, ini dapat dari hasil analisis angket yang disebarkan kepada peserta pengabdian diperoleh nilai 86,4 dengan kriteria sangat bermanfaat. Dan pada kegiatan ini para peserta juga samgat besungguh-sungguh  mengikuti penyuluhan yang diberikan, ini dilihat dengan banyaknya pertanyaan-pertanyaan yang muncul dari peserta. Dan melalui kegiatan ini juga pengetahuan dan keterampilan masyarakat tentang cara menggunakan life jacket untuk penyelamatan diri dan perawatan mesin tempel yang merupakan salah satu metode untuk keselamatan dan perawatan jadi meningkat. Dengan pemahaman keselamatan dan perawatan ini diharapkan masyarakat sudah dapat mengatasi permasalahan yang yang sering terjadi pada saat melakukan penangkapan ikan di laut. Sehingga hasil dari tangkapan ikan dapat berdampak langsung terhadap ekonomi keluarga dan masyarakat setempat serta Kabupaten Pariaman pada umumnya.
مخطوط "رحلتي لزيارة قبر الوالد" للشيخ ضيف الله بن محمد بن أُبّ التواتي الجزائري - دراسة في الأبعاد الاقتصادية للرحلة
Authors: جعفري أحمد
Published: December 2024

يعتبر مخطوط "رحلتي لزيارة قبر الوالد" للشيخ سيدي ضيف الله بن محمد بن أُبَّ التواتي الجزائري واحدا من أهم المصادر التاريخية التي أرخت لإقليم توات جنوب الجزائر خلال القرن الثاني عشر الهجري الثامن عشر الميلادي (12هـ/18م) وما قبله، فالرحلة وإن كتبت أساسا في تتبع دقيق أخبار الشيخ سيدي محمد بن أب المزمري والد المؤلف وأحد أعلام الإقليم في عصره إلا أنها قد حملت مع ذلك العديد من الإشارات العلمية والدينية وكذا الاجتماعية والاقتصادية لساكنة الاقليم خلال تلك الفترة وما قبلها، ومن هنا جاء تفكيرنا في تسليط الضوء على الرحلة المخطوطة انطلاقا من أبعادها الاقتصادية التي صبغت حياة ساكنة الإقليم التواتي خلال القرن الثاني عشر الهجري الثامن عشر الميلادي وما قبلهما وقبل ذلك كان لزاما علينا الوقوف بين يدي مخطوط الرحلة تقديما وتوصيفا، وبين يدي صاحبها تعريفا وتبيينا.
الحركة اللغوية والنحوية في الأندلس ظروف نشأتها و أهم منشطيها حتى نهاية القرن الرابع هجري
Authors: هني عبد القادر
Published: December 2024

يمثل القرن الثاني الهجري بداية الحركة اللّغويّة والنّحويّة الأندلسيّة التي احتضنتها الحلقات المنعقدة في المساجد التي أسست أيام الفتح من قبل التابعين مثل المسجد الجامع بقرطبة، ولم يكن نشاط الحركة اللّغويّة مقصورا على قرطبة فمدن الأندلس الأخرى كانت حافلة بالنشاطات العلميّة كالتدريس والمناقشات الشّفويّة إلى جانب نشاط حركة التّأليف في اللّغة، وقد بلغت الأندلس درجة مهمّة من النضج في علوم اللّغة في القرن الثالث الهجري، فقدم لها العلماء خدمات كثيرة ، ولكنها كانت تمثل جانبا من ثقافتهم الدّينيّة فلم يمنحوها كل جهدهم، على عكس علماء القرن الرابع الذين انصرفوا إليها انصرافا كلّيا. فظهر العلماء المتخصصون في النحو كما تميّز هذا القرن بالمؤلفات الدّالة على نضج الدّراسات النّحويّة، وازدهارها وأصالتها.
التواصل اللغوي عند العرب القدامى قراءة في ضوء كتاب: "الخطاب والتخاطب" للأستاذ عبد الرحمن الحاج صالح
Authors: هني عبد القادر
Published: December 2024

يتناول المقال قضايا التواصل اللغوي عند القدامى من خلال كتاب الخطاب والتخاطب للأستاذ عبد الرحمن الحاج صالح رحمه الله، إذ حظيت هذه القضايا بعناية كبيرة من العرب القدامى، فقد تناولوا اللغة بوصفها وسيلة هذا التواصل من حيث هي وضع وما تتصف به من إبهام (عدم التعيين لا الغموض) في هذا المستوى وأنه صفة جوهرية في اللغة. والخطاب بالنسبة إليهم لا يتفرد المخاطب بإنجازه وإنما يشاركه فيه المخاطَب، كما يميزون تمييزا واضحا بين المضمون الدلالي للخطاب ومضمونه الإعلامي أو الإفادي.
الدراسات الأسلوبية لظاهرة التكرار في القرآن الكريم. - قراءة نقدية –
Authors: ريوقي عبد الحليم
Published: December 2024

تفرّد النّص القرآني بأسلوبه ولغته، فهو نص لا يٌدانيه أيّ نصٍّ لا من حيث الأسلوبٌ ولا اللغةُ، وإن كان قد نزل بلغة قريش، وانصبَّ الكثيرون قديما وحديثا لدراسته أو تفسيره، أو الغوص في أسلوبه وبيانه لإبراز إعجازه وإظهار بلاغته، فالمتقدمون وقفوا على تفسيره، وأسباب نزوله، وغريبه، وإعجازه ومجازه، وبلاغته، وتكراراته. وسار بعض المحدثين على نهج المتقدمين في هذا، والبعض الآخر وظَّف المناهج النَّقدية واللغويّة الحديثة في النّص القرآني للوقوف على جمالياته وأسلوبه وبلاغته ولغته وإعجازه، وتكراراته. وفي حدود علمنا نالت الأسلوبية حظا وافرا في هذا، وكلّ باحث أو دارس يوظّف الأسلوبية من زوايا مختلفة – اختلاف المنهج والإجراء، اختلاف المستويات الأسلوبية، اختلاف المدارس الأسلوبية، وكذلك ارتباط الأسلوبية بعدّة علوم أخرى، وهنا ظهرت مزالق عدّة في تطبيق المنهج الأسلوبي على القرآن الكريم، خاصّة ما تعلّق منها بتكرارات وردت في القرآن الكريم، فتخللت هذه الدراسات الأسلوبية بعض السلبيات، وكان لها نصيب من الإيجابيات، نتكلم عنها بعد أن نورد صفحات تتناول نشأة الأسلوبية ، وتعريفها، ومناهجها، وعلاقتها بالبلاغة، والتكرار.
مُراعاة الأدب مع الله في الإعراب عند النُّحاة
Authors: بوقطة عبد الرحيم
Published: December 2024

لقد هيّأ اللّه سبحانه الإنسان لقبول الكمال بما أعطاه من الأهليّة والاستعداد، التي جعلها فيه كامنة كالنّار في الزنّاد؛ فألهمه ومكّنه، وعرّفه وأرشده، وأرسل إليه رسله، وأنزل إليه كتبه لاستخراج تلك القوّة التي أهّله بها لكماله إلى الفعل. وهذا ما يستجوب على الإنسان الحرص على التأدّب مع الله باستلام نصوصه والانقياد لها دون اعتراض. وقد راعى النّحاة هذه المسألة كثيرا؛ إذ حرصوا على استخدام ألفاظ خاصّة غير ألفاظهم في الإعراب تأدّبا مع الله ومراعاة لمقامه العليّ. وعليه يبين هذا المقال مظاهر أدب النّحاة الرَّفيع وتأدّبهم في إعراب الجمل والتَّراكيب، التي لها ارتباط وعلاقة بالذات الإلهيَّة وبكتابه العزيز.
الأسس المعرفية لبناء منهاج في تعليمية الترجمة
Authors: كحيل سعيدة
Published: December 2024

تتناول هـذه الدراسة اقتراح منهاج لتعليمية الترجمة في ضــــوء تعليمية اللغــات، بحيث يبنى على انتقاء النظريات والطرائق والوسائل والتقنيات المفيدة لدرس الترجمة. وقد استثمرنا النظريـــات اللسانية والنظريات الترجمية لـ"نيدا" و"فيدروف" و"بيترنيومارك" و"كاتفورد" و"كاترينا رايس" في تطبيقها من خلال أمثلة تطبيقية في مستوى المعجم والتركيب والصرف والدلالة وحتى التعبير الكتابي، وفي المستوى الثقافي بكل ظلاله المتغايرة بين اللغات والثقافات. ومن النتائج التي توصلنا إليها أن بناء المنهاج والأساس المنهجي لدرس الترجمة قاعدته الانتقاء والتكامل بين النظريات الترجمية وطرائقها وتقنياتها وأن تبني إحداها لا يحل صعوبات الترجمة العملية. ثم خلصنا إلى أن التنظير والطرائق في تعليمية الترجمة قاعدته نتائج الكم المعرفي في تعليمية اللغات.
الخطاب في معجم الدوحة التاريخي للغة العربية
Authors: بوشيبة عبد القادر
Published: December 2024

تسعى المعاجم قديما وحديثا، على اختلاف أنواعها وأهدافها، إلى تمثيل خطاب اللّغة الّتي تشتغل بها وفق رؤية معيّنة. ويأتي هذا البحث، وبشكل أساسيّ، لتبيان العلاقة الكامنة بين المعجم والخطاب وليصف مقوّمات الخطاب في المعجم. وهذه المسألة لطالما بقيت بعيدة عن نظر الباحثين المتخصّصين. وقد اتّخذ هذا البحث من معجم الدّوحة التّاريخي للّغة العربيّة نموذجا للدّراسة والتطبيق، بوصفه أهمّ معجم عربيّ التزم بضوابط الصّناعة المعجميّة الحديثة وخاصّة منها الصّناعة المعجميّة التاريخيّة. وقد انكبّ هذا البحث على تدارس المدوّنة المعجميّة لمعجم الدّوحة التّاريخيّ للّغة العربيّة ومصادره، وتقييمهما، والنّظر في بعض أدبياته الظاهرة في مقدّمته على بوّابته الرّقميّة، كما أنّه قام بتحليل لنماذج من نصوصه المعجميةّ، وهذا كلّه بغرض الكشف عن مدى تمثّله لخطاب العربيّة. الكلمات المفتاحيّة: الخطاب؛ معجم الدّوحة التّاريخي للّغة العربيّة؛ المدوّنة المعجميّة؛ مستويات الاستعمال؛ الشّاهد المعجميّ.
نقاط الضعف في التحليل اللغوي
Authors: خليفات سحبان
Published: December 2024

ترمي هذه الدراسة إلى تحليل ما أسفرت عنه كتابات أنصار المدرسة(الميتا- اخلاقية) لتبين ما وقع من اخطاء، وما ينطوي، عليه هذا النوع من الأبحاث من إرهاصات تشير إلى مستقبله. لقد أعطى( مور) للاتجاه[ الميتا – أخلاقي] ركيزتين هامتين بالبنية المنطقية للغة الأحكام الخلقية، والتحليل اللغوي. لقدكان حديثه عن الاغلوطة الطبيعية مدخلا لأبحاث كثير من الفلاسفة الذين انتهوا إلى تأكيد أهمية القواعد المنطقية، ومنزلتها في فهم بنية اللغة الخلفية. يضاف إلى هذا أن اهتمامه بالإجابة عن سؤال ماهو الخير؟ قد حمله على بحث مشكلة التعريف في صورة تفصلية، وفهم اللاحقون من فلسفة (مور) أن جوهر الأغلوطة الطبيعية يتمثل في فكرة الاغلوطة كسلاح ضد جميع التعريفات الطبيعية للتصورات الخلقية. إن أغلوطة التعريف إذن هي الأغلوطة الشاملة.
مصطلحات المماثلة ودلالالتها في الفكر الصوتي عند سيبويه
Authors: بن يشو جيلالي
Published: December 2024

إن الدراسات الحديثة في علم الصوات كثيرا ما تغفل المصطلحات الصوتية عند اللغويين العرب القدامى، وتستعمل مصطلحات مترجمة من اللغات الأخرى، علما ان معالجة أسلفنا للمسائل اللسانية بصفة عامة، لاتبتعد عن تلك الدراسات التي قيد بها اللسانيون المحدثون هذه الظاهرة، كما أن البحث الدلالي لهذه الثروة المصطلحية التراثية أصبح أمرا مهما يجب الرجوع إليه، كون هذه الثروة تحوي الكثير من المصطلحات يمكن استغلالها وتوظيفها في البحث اللساني الحديث.
انطلاقا من الطرح آثرت أن يكون بحثي في مصطلحات المماثلة، ودلالاتها عند سيبويه (180ه)، محاولا تبيان أسبقية هذا العالم في البحث في هذا المصطلح.
اللغة العربية الفصحى بين المشافهة والكتابة
Authors: عبيد عبد الرزاق
Published: December 2024

لقد كانت اللغة العربية الفصحى شأنها شأن جميع اللغات البشرية الطبيعية الأخرى، تتشكل من لهجات عديدة متقاربة لا تحول دون التبليغ بين أفراد المتحدثين بها مشافهة، ومع مرّ الزمن أخذت تتقلص شفاهيا وتتوسع كتابيا تاركة المجال للغة عامية هجينة؛ وعليه يتميز المستوى الكتابي بجملة من الخصائص، كما تميز المستوى الشفاهي بجملة من الخصائص الأخرى؛ مما أدى إلى قيام كل واحد منهما بوظائف دقيقة في الممارسات التعبيرية. وهذا ما يستوجب التنبيه على ضرورة العمل العلمي الدائم لجعل اللغة العربية تتصدر جميع الوظائف وتصبح بذلك لغة حيوية تداولية بين جميع أفراد المجموعة اللسانية الناطقة بها.
تحديث أصول البحث في التراث الّلغوي العلمي العربي
Authors: الحاج صالح عبد الرحمن
Published: December 2024

إنّ البحوث العلميّة التي تتطرّق إلى ما تركه العلماء العرب القدامى في علوم العربيّة والعلوم اللّسانيّة عامّة لفي حاجة مسيسة، إلى شيء كثير من التّجديد والتطوير وهذا يشمل كل جوانب البحث ولا يقتصر على منهجيّته فقط. وأصل الأصول عندنا هو الاستقلال المطلق للفكر وعدم الخضوع لنظرة الغير والامتناع عن التّمسك بعقيدة سابقة غير الأصول العقليّة والعلميّة المجمع على صحّتها في كلّ زمان ومكان.