bluuebunny/crossref_metadata_2025 huggingface dataset:
INTELLIGENT TRAFFIC MANAGEMENT FOR VEHICULAR NETWORKS USING MACHINE LEARNING
Authors:   Vidyavaridhi College of Engineering and Technology, India, Shirsath Vaishali , Kaul Vikas ,   Shree L R Tiwari College of Engineering, India, Kumar R. Sampath ,   Er. Perumal Manimekalai College of Engineering, India, Nemade Bhushankumar ,   Mukesh Patel School of Technology Management and Engineering, India
Published: October 2024

As urbanization and vehicular density continue to rise, the efficient management of traffic in vehicular networks becomes increasingly critical. This paper presents an innovative approach to intelligent traffic management leveraging Machine Learning (ML) techniques, specifically employing Support Vector Machines (SVM) with Radial Basis Function (RBF) kernels. The integration of SVM with RBF proves to be particularly effective in capturing complex non-linear relationships within the dynamic and unpredictable vehicular environment. Our proposed system aims to enhance traffic flow, reduce congestion, and improve overall transportation efficiency. The SVM-RBF model is trained on diverse datasets encompassing various traffic scenarios, considering factors such as vehicle speed, density, and historical traffic patterns. Through continuous learning, the system adapts to real-time changes, making it robust and responsive to dynamic traffic conditions. The core functionality of the intelligent traffic management system involves predicting traffic patterns and optimizing signal timings at intersections. The SVM-RBF model excels in its ability to classify and predict intricate traffic behavior, allowing for proactive decision-making. This proactive approach facilitates the timely adjustment of traffic signals, rerouting strategies, and adaptive speed limit recommendations. The effectiveness of the proposed system is validated through extensive simulations and real-world experiments, demonstrating significant improvements in traffic flow and reduction in travel times. Furthermore, the system exhibits scalability, making it suitable for deployment in diverse urban environments.
ENHANCING INFORMATION SECURITY IN MULTIMEDIA STREAMS THROUGH LOGIC LEARNING MACHINE ASSISTED MOTH-FLAME OPTIMIZATION
Authors:   Mukesh Patel School of Technology Management and Engineering, India, Nemade Bhushankumar , S. Alegavi Sujata ,   Thakur College of Engineering and Technology, India, Badhe Namdeo Baban ,   Thakur College of Engineering and Technology, India, Desai Aaditya ,   Welingkars Institute of Management and Research, India
Published: October 2024

Enhancing information security in multimedia streams is a critical endeavor in the digital age, where data breaches and cyber threats loom large. This research proposes a novel approach by integrating Logic Learning Machines (LLMs) with Moth-Flame Optimization (MFO) to fortify the defenses of multimedia data against potential vulnerabilities. Logic Learning Machines, known for their ability to make decisions based on logical reasoning, form the foundational intelligence of our proposed system. Leveraging their capacity to process complex patterns and relationships within data, LLMs become the cognitive backbone of our security enhancement model. Moth-Flame Optimization, inspired by the navigational behavior of moths around artificial lights, serves as the optimization engine in this framework. MFO mimics the natural attraction of moths to flames, translating it into an algorithmic strategy to optimize parameters and configurations for heightened security measures. By applying MFO, the system dynamically adapts and refines its security protocols in response to evolving threats. The synergy between LLMs and MFO creates a resilient defense mechanism for multimedia streams. The logic-driven decision-making of LLMs is augmented by the adaptive optimization capabilities of MFO, resulting in a robust and dynamic security infrastructure. This fusion not only enhances the detection of potential threats but also enables proactive adjustments to security parameters, thereby fortifying the system against emerging risks. The proposed framework is validated through extensive simulations and experiments, demonstrating its efficacy in real-world scenarios. The outcomes showcase improved information security for multimedia streams, providing a versatile solution for safeguarding sensitive data in diverse digital environments.
TEMPORAL GAN ENSEMBLE WITH BAGGING FOR ROBUST INFORMATION SECURITY IN IOT SENSOR NETWORKS
Authors:   Anand Institute of Higher Technology, India, Mary S. Roselin , Sheela K. Selva ,   KGiSL Institute of Technology, India, Kandula Srinivasa Rao ,   Dhanekula Institute of Engineering and Technology, India, R Ramkumar ,   Dhanalakshmi Srinivasan University, India
Published: October 2024

In the ever-evolving landscape of IoT sensor networks, ensuring robust information security is imperative. This paper introduces a novel approach, the Temporal GAN Ensemble with Bagging (TGE-Bag), designed to fortify the security framework of IoT sensor networks. TGE-Bag leverages the power of Generative Adversarial Networks (GANs) with a temporal dimension, addressing the dynamic nature of IoT data streams. The ensemble aspect incorporates Bagging, enhancing the overall resilience and robustness of the security model. The temporal dimension in TGE-Bag recognizes the time-sensitive nature of IoT data, acknowledging that threats and anomalies may manifest differently over time. By incorporating GANs, the model can effectively generate synthetic data representative of the temporal patterns, allowing for more comprehensive training and robust anomaly detection. The ensemble approach further contributes to the model robustness by aggregating diverse GANs, each specialized in capturing specific temporal nuances. This paper evaluates TGE-Bag efficacy through extensive simulations on real-world IoT datasets, demonstrating its superior performance in detecting and mitigating security threats. The ensemble ability to generalize across diverse temporal patterns contributes to its adaptability in various IoT sensor network scenarios.
GATED DUAL-PATH RNN EMPOWERED ADAPTIVE DIMENSIONAL SEARCH FOR COGNITIVE RADIO IN SOFTWARE-DEFINED NETWORKS
Authors:   Sri Eshwar College of Engineering, India, V Kiruthika , S Padmapriya ,   PSG Institute of Technology and Applied Research, India, M Ganga ,   Hindusthan College of Engineering and Technology, India
Published: October 2024

In the ever-evolving landscape of wireless communication, the demand for efficient spectrum utilization is paramount. The research begins by acknowledging the existing challenges in CR within SDNs, particularly the need for adaptive strategies to dynamically allocate spectrum resources. A critical research gap lies in the absence of an approach that seamlessly integrates Gated Dual-Path RNNs and Adaptive Dimensional Search to enhance the adaptability and efficiency of CR systems. The proposed methodology leverages the power of Gated Dual-Path RNNs for real-time learning and decision-making, coupled with an Adaptive Dimensional Search algorithm for dynamic spectrum allocation. This study introduces a novel approach, the Gated Dual-Path Recurrent Neural Network (RNN) Empowered Adaptive Dimensional Search, tailored for Cognitive Radio (CR) in Software-Defined Networks (SDNs). The escalating proliferation of wireless devices and applications has exacerbated the spectrum scarcity problem, necessitating intelligent solutions to optimize spectrum utilization. This dual-path architecture enables the CR system to capture temporal dependencies in the spectrum environment and adaptively adjust its parameters for optimal performance. The experimental results demonstrate the efficacy of the proposed approach, showcasing significant improvements in spectrum utilization efficiency, throughput, and adaptability compared to traditional methods. The Gated Dual-Path RNN Empowered Adaptive Dimensional Search proves to be a robust solution for enhancing CR capabilities in SDNs, paving the way for more intelligent and adaptive wireless communication systems.
ULTRA WIDE-BAND SYSTEMS WITH ENSEMBLES OF CLASSIFIERS BASED LATENT GRAPH PREDICTOR FM FOR OPTIMAL RESOURCE PREDICTION
Authors:   Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, India, Abishek B. Ebenezer , A Vijayalakshmi ,   Vels Institute of Science, Technology and Advanced Studies, India, Gem Blessy Sharon ,   Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, India, Kumar P. Sathish ,   Rajalakshmi Institute of Technology, India
Published: October 2024

The proliferation of Ultra Wide-Band (UWB) systems has introduced new challenges in predicting optimal resource allocation, necessitating advanced methodologies to enhance efficiency. Current resource prediction models for UWB systems often struggle to accurately forecast optimal resource allocation due to the dynamic and complex nature of the communication environment. This study aims to overcome these limitations by introducing a novel framework that integrates machine learning ensembles and latent graph predictor FM to achieve more accurate and reliable resource predictions. While various resource prediction models exist, a noticeable gap remains in achieving optimal predictions for UWB systems in dynamic scenarios. Existing models lack the adaptability and precision required for efficient resource allocation. This research bridges this gap by introducing a comprehensive approach that leverages ensembles of classifiers and latent graph predictor FM to enhance prediction accuracy. This study addresses the existing gaps in resource prediction by proposing an innovative approach that combines ensembles of classifiers with a Latent Graph Predictor FM. Our methodology involves the development of an integrated model that combines the strengths of machine learning ensembles and latent graph predictor FM. The ensemble of classifiers captures diverse patterns and features, while the latent graph predictor FM refines predictions based on latent relationships within the communication network. This dual-layered approach ensures robust and accurate resource prediction in UWB systems. The experimental results demonstrate a significant improvement in resource prediction accuracy compared to existing models. The proposed framework effectively adapts to dynamic UWB environments, providing optimal resource allocation in real-time scenarios. The study showcases the potential of ensembles of classifiers and latent graph predictor FM in addressing the challenges of resource prediction in UWB systems.
CHAOTIC EQUILIBRIUM OPTIMIZATION ALGORITHM BASED COOPERATIVE SPECTRUM SENSING AND ENERGY EFFICIENT COGNITIVE RADIO NETWORKS
Authors:   Sharnbasva University, India, Hipparge Praveen , S. Jawaligi Shivkumar ,   Sharnbasva University, India
Published: October 2024

The need for wireless communication in the present and the future is for green communication. The cognitive radio network must meet the requirements for green communication in order to be the next-generation communication network. So improving energy efficiency is a must for the development of cognitive radio networks. However, sensor performance must be reduced in order to improve energy efficiency. In order to consider the two key indicators of sensing performance and energy efficiency, this research suggests a Chaotic Equilibrium Optimization (CEO) method that may effectively boost energy efficiency while enhancing spectrum sensing performance. The algorithm first learns the initial reliability value of the nodes by training, sorts them based on highest reliability, selects an even number of nodes with highest reliability, divides the chosen nodes into two groups, and then alternates the operation of the two groups of nodes. While they wait for additional instructions from the fusion center, the other nodes that are not now participating in cooperative spectrum sensing are in a state of silence. Experimental demonstrations are effectuated and analyzed the performances of the performances of the proposed work. The proposed work effectively senses the spectrum than the other approaches.
ANALYSIS OF ONLINE INTRUSION DETECTION MODELS TO INCORPORATE SECURED DIGITAL CASH TRANSACTION IN MOBILE SMART SYSTEMS
Authors:   Periyar Arts College, India, R Bhuvaneswari , V Vasanthi ,   Dharmapuram Gnanambigai Government Arts College for Women, India, Jerald M. Paul Arokiadass ,   Periyar Arts College, India, Franklin I. Benjamin ,   St. Joseph’s College of Arts and Science, Cuddalore, India
Published: October 2024

The major Objective of this research paper is to design the Mobile Smart Device Digi Cash Intrusion Detection Framework (MSDDID) for assessing Intrusion Detection (ID) techniques and evaluating ID parameters that has to be rectified for enhancing the security of Digital Cash Transactions in Mobile Smart devices. The Research examined the Intrusion Detection dataset with 41 predictive features and 1 class feature for evaluating prediction in its novel form. The Framework was examined in WEKA with RapidMiner for analysis. The Results of classifiers Decision Table (98.7%), Random Forest Tree (99.79%), AdaBoost (94.37%), CART Model (99.61%), LazyIBK (99.44%), Naïve Bayesian (89.66%) signified that Smart devices security in Digi cash transactions could be predicted with refinement of data during transaction as deployed in this research work. The cluster analysis again conformed that num_root, su_attempted and num_compromised were the three parameters predominantly used for intrusions in the network and has to be addressed in the model.
REINFORCEMENT LEARNING FOR ADAPTIVE SIGNAL PROCESSING FOR CONTEXT AWARENESS IN 5G COMMUNICATION TECHNOLOGY
Authors:   Prathyusha Engineering College, India, Chandran K. Prabhu , Anand Sesham ,   Maturi Venkata Subba Rao Engineering College, India, V. Odeyar Subramanya ,   Nagarjuna College of Engineering and Technology, India, Rani Karra Basheeba ,   Malla Reddy Institute of Technology, India
Published: October 2024

The advent of 5G communication technology has revolutionized wireless communication with its high bandwidth, ultra-low latency, and massive connectivity features. However, the dynamic nature of user behavior and environmental changes poses significant challenges in optimizing signal processing for context awareness. Adaptive signal processing (ASP) offers a promising solution, but traditional methods struggle to effectively handle real-time, context-sensitive demands. In this research, we propose a novel reinforcement learning (RL)-based framework for adaptive signal processing that enhances context awareness in 5G networks. The problem addressed involves the optimization of signal parameters, such as power, frequency, and modulation schemes, to meet varying user demands and environmental conditions without compromising Quality of Service (QoS). The proposed method employs RL to adaptively optimize these parameters in real time. Specifically, a Q-learning algorithm is applied to learn the optimal policies for signal adaptation based on feedback from the environment, such as user mobility, interference levels, and network traffic. Simulation results demonstrate that the RL-based approach outperforms traditional static models, achieving up to a 30% reduction in latency and a 20% improvement in overall network throughput, while maintaining a 95% success rate in meeting user QoS requirements. This demonstrates the potential of RL for enhancing ASP in 5G systems.
Mobile Phone Syndromic Surveillance for Respiratory Conditions in an Emergency (COVID-19) Context in Colombia: Representative Survey Design
Authors: Vecino-Ortiz Andres I , Guzman-Tordecilla Deivis Nicolas , Maniar Vidhi , Agudelo-Londoño Sandra , Franco-Suarez Oscar , Aya Pastrana Nathaly , Rodríguez-Patarroyo Mariana , Mejía-Rocha Marino , Cardona Jaime , Chavez Chamorro Mariangela , Gibson Dustin
Published: October 2024

Background

Syndromic surveillance for respiratory infections such as COVID-19 is a crucial part of the public health surveillance toolkit as it allows decision makers to detect and prepare for new waves of the disease in advance. However, it is labor-intensive, costly, and increases exposure to survey personnel. This study assesses the feasibility of conducting a mobile phone–based respiratory syndromic surveillance program in a middle-income country during a public health emergency, providing data to support the inclusion of this method in the standard infection control protocols at the population level.

Objective

This study aims to assess the feasibility of a national active syndromic surveillance system for COVID-19 disease in Colombia.

Methods

In total, 2 pilots of syndromic mobile phone surveys (MPSs) were deployed using interactive voice response technology in Colombia (367 complete surveys in March 2022 and 451 complete surveys in April and May 2022). Respondents aged 18 years and older were sampled using random digit dialing, and after obtaining consent, they were sent a 10-minute survey with modules on sociodemographic status, respiratory symptoms, past exposure to COVID-19 infection and vaccination status, preferences about COVID-19 vaccination, and information source for COVID-19. Pilot 1 used a nationally representative sample while pilot 2 used quota sampling to yield representative results at the regional level. In this work, we assessed the performance characteristics of the survey pilots and compared the demographic information collected with a nationally representative household survey.

Results

For both pilots, contact rates were between 1% and 2%, while participation rates were above 80%. The results revealed that younger, female, and higher educated participants were more likely to participate in the syndromic survey. Survey rates as well as demographics, COVID-19 vaccination status, and prevalence of respiratory symptoms are reported for both pilots. We found that respondents of the MPSs are more likely to be younger and female.

Conclusions

In a COVID-19 pandemic setting, using an interactive voice response MPS to conduct syndromic surveillance may be a transformational, low-risk, and feasible method to detect outbreaks. This evaluation expects to provide a path forward to the inclusion of MPSs as a traditional surveillance method.
SURFACE SOLID DISPERSION OF MORINGA OLEIFERA LEAF EXTRACT-MICROCRYSTALLINE CELLULOSE PH 102-POLOXAMER 188: PREPARATION AND CHARACTERIZATION
Authors: RANI KARINA C. , NAWATILA ROISAH , NATASYA ZULVIARA PD , ANGELA VERONIKA G. , WANTI WINDA M , JAYANI NIKMATUL IE
Published: October 2024

Objective: The development of pharmaceutical products containing Moringa oleifera leaf extract has not developed well due to the physical and chemical characteristics limitations. The development of Surface Solid Dispersion (SSD) of Moringa oleifera leaves extract-microcrystalline cellulose PH102-Poloxamer 188 with 1:2:0.5 and 1:4:0.5 was performed in this study to improve the physicochemical characteristics of this extract.
Methods: SSD were prepared by microwave irradiation method using 400 W of power and 3 min of time exposure. The prepared SSD were evaluated for flowability, compressibility, moisture content, thermal characteristics (Differential Scanning Calorimetry (DSC)), crystallinity (Powder X-ray Diffractometry (PXRD)), functional group interaction (Fourier Transform Infra-Red Spectroscopy (FT-IR)), morphology (Scanning Electron Microscopy (SEM)), total flavonoid content, solubility study, and antioxidant activity.
Results: SSD powder exhibited better flowability, compressibility, and moisture content compared to the physical mixture (PM). The results of thermal characteristics and crystallinity of SSD indicate partial transformation into an amorphous phase. The total flavonoid content of SSD 1:2:0.5 was 11.04±0.23 mg QE/g, whereas SSD 1:4:0.5 was 9.18±0.05 mg QE/g. The solubility of the flavonoid compound from SSD 1:2:0.5 (78.73±0.76 µg/ml) and SSD 1:4:0.5 (61.90±3.38 µg/ml) was higher than PM with the equal ratio. The antioxidant activity was expressed as IC50 values of SSD, which are 276.72±24.18 ppm for a 1:2:0.5 ratio and 249.04±27.29 ppm for a 1:4:0.5 ratio.
Conclusion: SSD preparation successfully improved the physicochemical characteristics and solubility of Moringa oleifera leaf extract. SSD 1:2:0.5 was the optimized composition from this study.
EVALUATING THE EFFECT OF MATOA LEAVES ETHANOL EXTRACTS (POMETIA PINNATA J. R. FORST AND G. FORST) ON PANCREATIC ΒETA-CELLS INSULIN RELEASE
Authors: NIAM1 MUHAMMAD LABIB QOTRUN , APRILIA SELLA , WAHYUNI ARIFAH SRI , FORTUNA TISTA AYU , BAKAR FAZLEEN IZZANI ABU , FADHILAHI ARINI
Published: October 2024

Objective: Matoa Leaves Ethanol Extract (Pometia pinnata J. R. Forst and G. Forst) (MLEE) with flavonoid content has been proven to have antioxidant activity that can neutralize free radicals so it can potentially repair damage to pancreatic β-cells that produce the hormone insulin. This study aimed to determine the ability of Matoa Leaves Ethanol Extract (MLEE) to lower fasting blood glucose (FBG) levels and determine the increase in insulin expression of rats' pancreatic β-cells induced by alloxan 150 mg/KgBW.
Methods: Experimental research was conducted using Complete Randomized Design on 6 groups, including normal group, negative control, positive control (glibenclamide 5 mg/KgBW), and MLEE groups with 50, 100, and 200 mg/KgBW for 14 days. The efficacy of MLEE in insulin release can be assessed by its ability to reduce blood glucose levels and modulate insulin production in pancreatic β-cells. Expression is quantified based on the distribution and intensity of staining observed using the ImmunoHistoChemistry (IHC) method. The Fasting Blood Glucose (FBG) data and IHC scores were subjected to analysis using a one-way ANOVA.
Results: The results indicate that administering a dose of 50 mg/KgBW of MLEE for duration 14 days effectively reduced FBG levels to 143.25 mg/dl (p<0.05) via enhancing the secretion of insulin in pancreatic β-cells (p<0.05).
Conclusion: It was found that MLEE dosages of 50, 100, and 200 mg/KgBW efficiently reduced FBG levels and enhanced insulin expression in pancreatic β-cells in rats.
THE EFFECT OF A COMBINATION OF BLACK TEA WITH PEGAGAN LEAF TEA (CENTELLA ASIATICA) ON PH, TOTAL ACID, AND FLAVONOIDS
Authors: PURWANI ENI , PUTRI ALIYA M. , SOFYAN AAN
Published: October 2024

Objective: There is no further research related to the development of Pegagan leaves; this innovation is expected to be able to process a product that is useful for health, one of which can be used as a functional drink. Therefore from that, he purpose is to research the effects of the combination of black tea with Pegagan leaves (Centella asiatica) on pH, total acids, and flavonoids.
Methods: The type of this study was experimental. This study was conducted by combining black tea with different Pegagan leaves. The research design used a Completely Randomized Design with 3 combinations of Pegagan leaves in black tea, which were P1 (0%:100, P2(25%:75), and P3(50%:50).
Results: The results showed the highest flavonoid levels in the combination of black tea with P3 Pegagan leaf tea (50%:50%) of 0.020%. There was no significant effect on the pH value and total acid content. However, on the flavonoid content, there was a significant effect on the combination of black tea and Pegagan leaf tea.
Conclusion: Based on the results of the study, it can be concluded that the combination of black tea and Pegagan leaf tea had no effect on pH value (p=0.911) and total acids (p=0.749). In the flavonoid level, the results of the study showed that there was an effect on the combination of black tea and Pegagan leaf tea (p=0.007).
THE EFFECT OF KNOCKING OUT OF PVDP GENE IN THE VIRULENCE OF PSEUDOMONAS AERUGINOSA
Authors: WIBOWO JOKO P. , DEKKER FRANK J. , QUAX WIM J.
Published: October 2024

Objective: The aim of the study is to investigate the role of PvdP enzyme in the virulence of Pseudomonas aeruginosa both in vitro and in vivo.
Methods: In this study, we investigate the effect of deletion of pvdP gene on P. aeruginosa by observing its phenotypes. The observed phenotypes are the growth, pyoverdine production, motilities, 3-oxo-C12-Homo Serine Lactone (3-oxo-C12-HSL) accumulation and biofilm formation. The growth and pyoverdine production were investigated under a low iron condition, while the motilities of the mutant were investigated in a semi-solid media. The accumulation 3-oxo-C12-HSL was facilitated by a biosensor strain and biofilm formation was investigated using a spectrophotometer through a crystal violet staining method. The in vivo study was performed to Galleria mellonella larvae as an infection model.
Results: The deletion of the pvdP gene does not affect the growth of the P. aeruginosa but significantly reduces the production of pyoverdine. The motility properties of the bacteria were not affected by the deletion of the pvdP gene. The P. aeruginosa PvdP knock-out mutant also showed a reduction in the biofilm formation and the accumulation of 3-oxo-C12-HSL at low iron concentrations. In an in vivo experiment, the PvdP knock-out mutant caused a significantly reduced death rate of G. mellonella larvae infection model compared to the control group.
Conclusion: The findings underscore the major role of PvdP in pyoverdine production, its contribution to biofilm formation, and the motility of P. aeruginosa. Those results confirm the important role of PvdP in the virulence of P. aeruginosa in vitro and in vivo.
Examining the Correlation Between Building and Parcel Using Building Information Modeling (BIM): Contributions to City-Based Planning
Authors: Xu Jiajun , Taşkaya Selim , Wu Dongzi , Kurt Mustafa , Liao Wanying , Liao Yuxuan
Published: October 2024

Buildings complete their formations within a set of parameters while being constructed. Buildings are formed with ground floor area, horizontal distances, static, reinforced concrete or steel projects, and electrical and mechanical projects. The parcel emerges as the first stage in the formation of buildings. The building boundaries of the building are determined in line with the structural form feature of the parcels, height ratios, and comparable construction rates. Building information modeling (BIM) is the process of creating a model network by entering the data analysis of each stage from the beginning to the end, from planning to completion. In the study, it was tried to find the answer to the questions of which process a building can be formed on its parcel, what should be considered, and how to understand it in the simplest way by entering the steps gradually in line with the criteria of this correlation between the building and the parcel.
Depois do fim: Cornelio Penna e Oswaldo Goeldi
Authors: Lopes Denilson
Published: October 2024

Estabelecendo um diálogo entre Cornelio Penna e Oswaldo Goeldi, este ensaio vai das experiências do fim do mundo e da melancolia para a impotência, o repouso e o desaparecimento, evitando leituras que coloquem os dois artistas como figuras isoladas na cultura brasileira e os coloca dentro de uma leitura diferente do Modernismo junto com Mário Peixoto.
Coleção Ad usum Delphini: aurora da censura na edição impressa de textos clássicos
Authors: Moniz Fabio Frohwein de Salles
Published: October 2024

Os objetivos deste artigo são: 1) apresentar alguns casos de expurgo de obras clássicas até o séc. XVII, momento em que a coleção Ad usum Delphini foi concebida para a educação de Luís o Grande Delfim, filho do rei francês Luís XIV; e explicar brevemente o contexto histórico e características da coleção Ad usum Delphini. Este ensaio apresenta alguns dos resultados de nossa pesquisa intitulada “O glossário do silêncio: palavras, expressões, versos e poemas expurgados na coleção Ad usum Delphini”, realizada com a bolsa do Programa Nacional de Apoio à Pesquisa (PNAP), que recebemos da Fundação Biblioteca Nacional em 2021-2022.
Production et circulation de récits amérindiens, ghostwriting et langue fantôme
Authors: Jobim José Luís
Published: October 2024

Neste artigo, vamos analisar duas narrativas, atribuídas a Rigoberta Menchú e Davi Kopenawa, que possuem algumas características comuns, por serem dirigidas a um público “branco” (embora estes autores sejam ameríndios) e por descreverem elementos da cultura ameríndia, apresentando fatos históricos referentes ao encontro da cultura ameríndia com a cultura abrangente, em seus respectivos países (Guatemala e Brasil), partindo de uma perspectiva indígena, e sendo originalmente publicadas em línguas diferentes daquelas de seus autores ameríndios, além de serem organizadas e estruturadas por pessoas ligadas à cultura francesa, a partir de perspectivas disciplinares “ocidentais”. Todas estas características das narrativas analisadas geram muitas questões que dizem respeito aos papeis dos autores.
Uma explicação para o licenciamento de alguns adjetivos em duas posições atributivas em italiano
Authors: Gomes Ana Paula Quadros , De Carvalho Cabral Nicolly Dutra
Published: October 2024

Em línguas românicas, a posição canônica do adjetivo é a pós-nominal (Cinque, 1994). Observou-se, porém, que, embora a maioria dos adjetivos seja apenas pós-nominal em românicas, alguns poucos adjetivos aparecem somente como pré-nominais, e há um grupo, mais extenso, que pode vir antes ou depois do núcleo, com mudança de sentido (Gomes; Sudré, 2021). Apesar desses três padrões distribucionais, a cartografia (Cinque, 2010, 2014) propõe apenas duas fontes sintáticas: relativas reduzidas (associadas a adjetivos pós-nominais, de interpretação extensional) e projeções funcionais, que incluem todos os adjetivos pré-nominais e alguns pós-nominais, identificadas pela interpretação intensional. Propomos que aqueles adjetivos que são licenciados em italiano tanto antes quanto depois do núcleo nominal estão em uma projeção funcional, DegP (Corver 1991), e são comparativas implícitas. As diferentes interpretações (intensional e extensional) são fruto de diferenças no domínio de onde provém o parâmetro de comparação, e não de fontes sintáticas diversas. Portanto, propomos que nem a distribuição nem a interpretação de adjetivos em línguas românicas podem ser explicadas apenas com base na fonte sintática. Defendemos a necessidade de recorrer a um componente semântico. Adotamos a semântica de graus (Kennedy; McNally, 2005). Todos os adjetivos móveis (licenciados tanto na posição atributiva canônica quanto na outra) em um corpus do italiano passaram nos testes independentes como sendo adjetivos de grau
Sosialisasi Pengelolaan Lingkungan Hidup Berbasis Konsep Good Environmental Governance Pada Masyarakat Rt 23 Kelurahan Bagan Pete
Authors: Raden Sarwani  , Baidawi Ahmad , Haryadi
Published: October 2024

Tujuan dari pengabdian ini adalah untuk memberikan pemahaman melalui sosialisasi dan pelatihan kepada masyarakat Rt 23 Kelurahan Bagan Pete tentang pelestarian lingkungan hidup berbasis konsep Good Environmental Governance . Untuk target sasaran dari pengabdian ini adalah aparatur rt 23 kelurahan bagan pete, generasi muda kelurahan bagan pete, dan masyarakat kelurahan bagan pete secara umum. Metode yang digunakan pada pengabdian ini adalah sosialisasi, pelatihan dan simulasi. Dalam metode sosialisasi, pelatahian dan simulasi dilaksanakan dengan beberapa metode yang seperti metode ceramah, tanya jawab dan diskusi. Harapan akhir dari hasil pengabdian ini yaitu meningkatnya partisipasi masyarakat Rt 23 Kelurahan Bagan Pete khususnya generasi muda rt 23 kelurahan bagan pete terhadap pelestarian lingkungan hidup serta tumbuh kesadaran masyarakat untuk menjaga kebersihan lingkungan dan memiliki ruang terbuka hijau bebas dari polusi sehingga dengan hal tersebut masyarakat dan generasi muda Kelurahan Bagan Pete memliki jiwa yang sehat, bersih serta terhindar dari segala penyakit, menjadi masyarakat yang cerdas dan mampu menjadikan Kelurahan Bagan Pete menjadi smart village.
MENINGKATKAN MINDSET SEMNGAT BERWIRAUSAHA PADA IBU RUMAH TANGGA MARPOYAN DAMAI PEKANBARU
Authors: SULEMAN HASIBUAN  , Zulfitri  , Mukson  , Rides Sujatmoiko  , Suryatunnisak
Published: October 2024

Mitra dalam program pengabdian masyarakat ini adalah “Perwiritan rumah tangga jalan marpoyan damai Pekanbaru”. Selain kegiatan rutin yaitu pengajian Minggu sore yang bertempat di Perumhaan Kartama cemerlang regency, beberapa kegiatan juga diselenggarakan oleh pengurus perwiritan diantaranya mendorong anggotanya untuk berperan aktif dalam meningkatkan kesejahteraan keluarga di bidang perekonomian, yaitu menjadi wirausaha. Permasalahan yang dihadapi mitra adalah sebagian anggota belum memiliki Minsat motivasi untuk menjadi wirausaha. Anggota yang sudah mempunyai usaha, kemampuan pengelolaan usahanya masih terbatas/kurang. Permasalahan lain yang muncul adalah literasi keuangan anggota masih tergolong rendah. Untuk mengatasi permasalahan tersebut, diadakan beberapa Seminar yaitu peningkatan mindset motivasi berwirausaha, dengan materi manajemen Peningkatan mindset berwirausaha pada ibu rumah tangga. Hasil dari program ini adalah seluruh kegiatan berjalan lancar, peserta terlibat aktif, dan motivasi peserta untuk berwirausaha meningkat.
Profe, ¿tiene TikTok? Autopercepción de competencias mediáticas en el profesorado de periodismo en Chile
Authors: Lazcano-Peña Daniela , Sibrian Nairbis , Maureira Paulina
Published: October 2024

El presente artículo tiene como objetivo analizar la autopercepción de la competencia mediática en el profesorado chileno de periodismo, poniendo el foco en las habilidades para producir y difundir contenidos en el ecosistema de plataformas digitales (dimensión procesos de producción-difusión, de la competencia mediática). El diseño metodológico se basa en un enfoque cuantitativo, a través de una encuesta aplicada en modalidad en línea a una muestra de 213 personas docentes de periodismo de 26 universidades chilenas, entre mayo y octubre de 2023. Entre los resultados, destacan algunas paradojas, pues si bien el 41% de la muestra autopercibe su capacidad para producir y difundir contenidos en plataformas digitales como alta, un porcentaje considerable (35%) se ubica en el nivel bajo. Se observan, además, diferencias en algunas de las variables independientes consideradas: las mujeres se autoperciben en niveles más bajos que sus colegas hombres; a mayor edad, menor es la producción de contenidos en plataformas o redes sociales; la diferencia territorial indica que las personas docentes de regiones no metropolitanas se autoperciben con más altos índices de competencia, aunque no difunden contenidos con frecuencia; y la autopercepción de competencia es particularmente baja en plataformas como TikTok y YouTube. Estos hallazgos plantean desafíos importantes en las dimensiones asociadas a los procesos de producción y difusión de contenidos por parte del profesorado de periodismo, en especial si se considera que los consumos mediáticos e informativos de sus estudiantes se centran, precisamente, en esos espacios digitales.
Influencers que modelan valores. Impactos educativos en la relación de seguimiento de las personas adolescentes
Authors: González- Larrea Belén , Hernández- Serrano María José , Lena Acebo Francisco Javier , Renés-Arellano Paula
Published: October 2024

El fenómeno influencer ha proliferado generando audiencias especializadas, las cuales incluyen a docentes que pueden ofrecer oportunidades educativas de modelado en sus seguidores. La relación seguidor-influencer se basa en la identificación y la imitación, con impactos más sensibles cuanto más jóvenes son las personas seguidoras. El estudio basado en una metodología mixta empleó un cuestionario a estudiantes de educación Secundaria en España (N=407; de edad media de 12 años, DT=0.209) para analizar diferencias en la relación de seguimiento de las personas adolescentes que siguen a influenciadores en redes sociales. Además, se realizaron entrevistas semiestructuradas con un análisis textual, analítico y reflexivo a influencers de diversos ámbitos, con los que los mismos adolescentes manifestaron que tenían una relación de seguimiento, para conocer su percepción sobre la influencia educativa. Los resultados muestran que las personas menores son conscientes del rol comercial de dichas personas, sin embargo, los influencers no consideran su impacto educativo, que solo es percibido por los influencers docentes. Se concluye que es importante comprender y regular la influencia de estos referentes en los menores, reconociendo su papel educativo y su responsabilidad en el contenido que comparten en redes sociales.
Aprendiendo a leer con TikTok: un recurso educativo basado en microlearning
Authors: DIAZ MUJICA JUANA YRIS , Nagamine Miyashiro Mercedes María , Ticse Villanueva Norma
Published: October 2024

La lectura es uno de los aprendizajes necesarios por trabajar en las personas más pequeñas, para el logro de estos aprendizajes existen estrategias basadas en el uso de las redes sociales, debido a que movilizan la comunicación de manera permanente y masiva. Esta investigación tuvo como objetivo determinar cómo influye el TikTok en el aprendizaje de la lectura en niños y niñas de un colegio de Pichanaki, Región Junín de Perú. La metodología del estudio se basó en un diseño preexperimental- longitudinal, con una muestra de estudiantes del segundo ciclo de educación. Se trabajó la estrategia TikTok durante 10 semanas, el instrumento fue una guía de observación validada (KR-0.81). Se concluye en el estudio que, con el uso del TikTok se mejora sustancialmente el aprendizaje de la lectura en la niñez, de acuerdo con el nivel de significancia menor a 0.05 obtenido por la prueba de Wilcoxon. Por lo tanto, TikTok puede ser utilizado como una herramienta educativa digital, que proporcionan al estudiantado contenidos bien estructurados, de fácil acceso y entretenido que logra el aprendizaje interactivo y experiencial.
Corporate social responsibility management for labeled companies in the emerging market: A study of corporate strategy
Authors: Seghyar Nabil , El Hammoumi Ahmed , Berdi Abdelaziz
Published: October 2024

In contemporary managerial aspects, corporate social responsibility (CSR) plays an important role in the societal commitment of businesses. According to Cheffi et al. (2021), the dimension of CSR encompasses a variety of approaches and models, contributing to the enlightenment of management practices within companies. This article highlights the importance of these CSR managerial practices and their ability to illustrate the performance and efficiency of the daily companies’ activities. In this vein, we are interested in companies’ accreditation with CSR in the Moroccan context, following a quantitative approach based on 104 questionnaires involving all aspects of these practices, including various elements such as international pressures, governmental commitment, increasing local awareness, sustainable development imperatives, and sector-specific initiatives. Thus, ensuring comprehensive coverage of the target population. The adoption of this methodological approach enabled us to gather valuable and diverse data, consequently providing a solid foundation for formulating robust and informed conclusions on how Moroccan companies integrate and implement CSR into their daily management. The results obtained by our study confirm that all the practices designed by the ISO 26000 standard from the International Organization for Standardization (ISO) in the field of CSR executed in the Moroccan environment excepted loyal practices and norms related to human rights.
The effect of management factors of board characteristics and banks’ specific on banks’ performance: Empirical evidence from the emerging economy
Authors: Belhaj Fozi Ali , Farhan Najib H. S.
Published: October 2024

The study aims to examine the impact of management factors of board characteristics and banks’ specific on the financial performance of Indian listed banks. To achieve the study objectives, data are extracted from 38 listed banks from the ProwessIQ database that covers the period from 2010 to 2019. Fixed and random effect models are used for analyzing the data. Further, a two-stage least square (2SLS) analysis is employed for treating the endogeneity problem. The main findings revealed that size, deposits and advances, and current ratio negatively and significantly impact the financial performance of the banks. On the contrary, market capitalization and age positively and significantly impact the financial performance of Indian listed banks. Furthermore, results showed that the board’s diligence and independence positively and significantly affected the financial performance. The study contributes to the existing body of knowledge by focusing on the important sector with is banking sector in developing countries. The banking sector in India represents a major component of the financial system with more than 70 percent of total assets in the financial sector that requires special attention to corporate governance in theoretical and empirical fields.
Does environmental and social disclosure foretell the financial performance of oil and gas behemoths? Evidence from the emerging market using mixed-methods research
Authors: Kumar Ranjan
Published: October 2024

Focusing on the sustainability disclosure of Indian oil and gas (O&G) behemoths, this study pursues two pertinent research objectives: 1) to investigate the relationship between environmental and social disclosures and corporate financial performance (CFP) metrics; 2) to conceptualize and thematically identify “fault lines” as areas of extreme vulnerability, for example, carbon emissions and groundwater depletion, created due to an intersection of adverse environmental and social impacts of the O&G sector (Alagoz, 2023). A mixed-methods research approach is employed, with panel data regression analysis addressing the first research objective, thus validating the hypotheses on relationships between social and environmental disclosure, and CFP metrics. For the second research objective, Braun and Clarke’s (2012) six-step reflexive thematic analysis (RTA) technique is applied to identify sustainability reporting themes that correspond to the conceptualization of “fault lines”. Data analysis provides partial and inconclusive evidence for sustainability disclosure metrics predicting CFP. Therefore, financial analysts and investors are advised to not rely on sustainability disclosure metrics as a bellwether for the financial performance of O&G companies. For the second research objective, three reporting themes — circular economy, climate change, and water stewardship — are identified as characterizing the “fault lines”. Implications of this for socio-economic-environmental policy-making and the elusive global north-south consensus on environmental action are discussed.
Risk governance for environmental, social, and governance investing and activities
Authors: Grove Hugh , Clouse Maclyn , Xu Tracy
Published: October 2024

This paper addresses the critical need for effective risk governance in environmental, social, and governance (ESG) investing and activities. Recognizing a gap in the existing literature, the research aims to propose strategies for asset managers, investors, corporate executives, and boards of directors to assess and enhance risk governance practices. Utilizing Fink’s (2021) letter to chief executive officers (CEOs) as a foundational checklist, the study emphasizes the importance of aligning business models with net-zero economy goals and integrating these into long-term strategic planning. Through a comprehensive review of current practices, challenges, and the concept of greenwashing and greenhushing, the paper provides a detailed analysis of how stakeholders can differentiate between genuine ESG commitments and superficial ones. The main findings highlight the necessity for robust monitoring mechanisms and transparent disclosures to ensure alignment with shareholder and stakeholder value. The conclusions underscore the need for ongoing research and practical applications, particularly through case studies and empirical analyses, to validate the proposed strategies. This paper is relevant to various stakeholders committed to sustainable and responsible investing, offering a pathway to more credible and effective ESG practices.
Transformadores Eléctricos de Potencia
Authors: Pérez Londoño Sandra Milena , López Quintero José Germán
Published: October 2024

La revolución tecnológica que ha conformado la civilización de los últimos 130 años nació de avances fundamentales en las comunicaciones, los transportes y la energía eléctrica. Los logros supremos de los inventores en las comunicaciones y los transportes (teléfono, televisión, automóvil y avión) son hoy elementos familiares de la vida cotidiana. En cambio, el invento que aseguró la omnipresencia de la energía eléctrica ha pasado en gran parte inadvertido para aquellos cuyas vidas afecta directamente. Se trata de un dispositivo que no se mueve, silencioso y oculto en sótanos o disimulado por mamparas. Nos referimos al transformador, un ingenioso instrumento desarrollado a finales del siglo XIX. El transformador es un componente esencial de las redes modernas de suministro eléctrico. Explicado con sencillez, puede convertir electricidad de baja corriente y alta tensión en electricidad de alta corriente y baja tensión (y viceversa) con poca pérdida de energía. Esta conversión es importante porque la energía eléctrica se transmite con mayor rendimiento a altas tensiones, pero se genera y se utiliza mejor a bajas tensiones. Si no fuera por los transformadores, tendría que acortarse la distancia que separa a los generadores de los consumidores; muchos hogares e industrias necesitarían su propia central y la electricidad sería una forma de energía bastante menos cómoda. El físico Inglés Michael Faraday descubrió el funcionamiento básico del transformador en 1831. Unos cincuenta años más tarde, la aparición de un transformador práctico, que contenía ya todos los elementos esenciales del instrumento moderno, revolucionó la naciente industria del alumbrado eléctrico. Al llegar el siglo XX, el suministro eléctrico por corriente alterna se había adoptado universalmente y el transformador había adquirido un papel clave en la transmisión y distribución de la energía eléctrica. Cabría plantearse una cuestión: ¿perdurará el transformador? El desarrollo de dispositivos de estado sólido, capaces de operar a niveles de tensión, que van desde unos pocos voltios hasta miles de voltios, han reducido, si no eliminado, la necesidad de transformadores en aparatos electrónicos pequeños y han facilitado la implementación de transmisión de energía eléctrica en corriente continua.
The underrepresentation of the ottoman intangible cultural heritage in the register of cultural property of montenegro
Authors: Banovic Branko , Pisev Marko , Milenkovic Milos
Published: October 2024

Understanding the intangible cultural heritage (ICH) of the Balkan Peninsula
is necessarily linked to comprehending the complex influences rooted in the
long-standing dominance of the Ottoman Empire in this region. Given that
these influences have significantly shaped various aspects of everyday life,
it would be justified for them to be adequately represented in the national
ICH registries of Western Balkan countries. However, existing research
indicates the underrepresentation of Ottoman ICH elements throughout the
region. Previous studies conducted in Serbia have indicated that the
underrepresentation of Ottoman ICH may not be solely a consequence of
ideology but rather a problem relocated to structural deficiencies in the
ICH safeguarding system. Using these studies as a theoretical and
methodological framework, the study problematizes the issue of
underrepresentation of Ottoman ICH in the cultural heritage registry of
Montenegro, after which parallels are drawn in the conclusion between the
two ICH protection systems. The results of ethnographic research conducted
in the case of Pljevlja prove instructive both for understanding systemic
problems in the documentation and protection of Ottoman ICH and for the
significance of ethnological-anthropological perspective in advancing the
system and sustainable preservation of this intangible cultural heritage
shared by all Western Balkan states.