bluuebunny/crossref_metadata_2025 huggingface dataset:
Roma Settlements in Međimurje: definition, spatial development, characteristics
Authors:   University of Zagreb, Faculty of Teacher Education, Department in Čakovec, Čakovec, Croatia, Šlezak Hrvoje
Published: December 2024

Roma settlement is a term that is often used in the public media space and in academic works dealing with the issue of the Roma national minority. Despite the frequency of use, this term is not clearly defined. Using the example of twelve localities inhabited by the Roma population in Međimurje County, the paper points out the basic features of spatial development, morphological and functional elements of "Roma settlements". Spontaneous origin, spatial segregation, intense spatial expansion mainly through illegal construction on usurped land, irregular structure, non-compliance with building and spatial norms, intensive infrastructural development in recent times and a deficit of basic settlement functions other than housing, are the basic characteristics of Roma settlements in Međimurje. The aforementioned characteristics refer to the very definition of a Roma settlement as a location of gathered housing units of a homogeneous Roma ethnic structure, spatially separated from the settlement, i.e. parts of the settlement with the majority population to which they administratively belong, with specific spatial development, morphological and functional characteristics significantly different from the characteristics of the surrounding settlements with the majority population.
What Drives Fintech Use - Modelling and Predicting Usage Behaviour
Authors: Payeng Anil , Baruah Devi
Published: December 2024

Fintech disrupts traditional financial services in terms of its mode of delivery and the magnitude of its operations. Moreover, the growing practitioner and academic interest in Fintech has added to the humongous perspectives of Fintech research. The term “financial technology” (Fintech) refers to a digital business model that serves the financial needs of people all over the world and has grown to be an integral part of the financial services industry. Although widespread, the Fintech boom is mostly uncontrolled, necessitating a cautious approach to its applications and advantages. The paper proposes a model to estimate Fintech usage by customers and tries to assess the model’s predictive ability through PLS-SEM. The current research addresses the theoretical gap in Fintech usage behaviour and highlights the managerial implications of assessing and predicting Fintech use. The research endeavour aims to contribute to existing scholarly discussions but also lay the groundwork for further investigation into the intricacies of Fintech usage behaviour.
The Overconfidence Paradox: Managerial Overconfidence, Risk, and Efficiency of Public Sector Banks in India
Authors: Saini Diksha , Singh Balwinder
Published: December 2024

This study aims to investigate the impact of behavioural biases of top managers measured through managerial overconfidence affect the risk and efficiency of PSBs in India. To achieve this objective, the independent variable managerial overconfidence is measured using two proxies: Loan Growth rate (LGR) and Net Interest Margin (NIM). The performance of banks is measured in terms of Bank Risk and Efficiency. Bank Risk is measured using Non-Performing Loan (NPL) ratio and efficiency is measured using DEA (Data Envelopment Analysis). This study has been conducted on 20 public sector banks in India over the period of 2016–2018. The Panel regression findings demonstrate that CEO overconfidence has a significant impact on the risk exposure and efficiency of Indian banks. The findings provide significant novel insights into the banking and finance literature that managerial overconfidence exerts a significant influence on bank risk and efficiency. As far as the authors are aware, this research endeavour is pioneering in its investigation of the association between CEO overconfidence and bank performance in the Indian context.
Purchasing Power Parity and Exchange Rate Management Under Managed Float: Case for INR or USD
Authors: Devi Shalini
Published: December 2024

Purchasing Power Parity (PPP) doctrine has been a significant topic in the domain of international finance and economics. Several studies have been conducted on the issue of testing the soundness of the PPP hypothesis but a very few studies have been done for developing nations, particularly for India. This study tried to empirically test the PPP hypothesis for Indian rupee/US dollar (INR/USD) rate using quarterly data for the period 2001:1 – 2024:2. The stationarity of the relevant variables is examined by using the econometric tool of Augmented Dickey Fuller (ADF) and Phillip - Perron (PP) tests. To confirm empirical validity of PPP hypothesis, OLS regression technique is used. Autocorrelation problem is removed with the help of AR1 (Cochrane-Orcutt) and maximum likelihood procedures. The PPP model is estimated in naïve static form as well as the partial adjustment framework. The partial adjustment framework helps to find out the speed with which the actual exchange rate moves towards and reaches its equilibrium level. The empirical findings show that absolute PPP does not work well in its naïve static form, but it works well in partial adjustment framework with 2.5 quarters being speed of adjustment. The relative PPP is found to work well in both frameworks with 1.5 quarters as speed of adjustment. Thus, the policymakers may use the PPP hypothesis for exchange rate forecasting. Also, it is suggested that the policymakers should carefully consider the effect of internal or external shocks on PPP and tailor their monetary policy measures accordingly.
The state of remote patient monitoring for chronic disease management in the United States (Preprint)
Authors: Paul Margaret M. , Khera Nandita , Elugunti Praneetha R. , Ruff Kevin C. , Hommos Musab S. , Thomas Leslie F. , Nagaraja Vivek , Garrett Ashley L. , Pantoja-Smith Maria , Delafield Nathan L. , Lizaola-Mayo Blanca C. , Kresin Molly M. , Seetharam Mahesh , Nagarakanti Sandhya R. , Kaur Manreet
Published: December 2024

UNSTRUCTURED

Remote patient monitoring (RPM) increased exponentially during the COVID-19 pandemic. RPM programs commonly incorporate tools to capture and transmit health relevant data from the home to the clinical space to augment the clinical decision-making process of health care providers. Examples of data captured include patient behaviors such as degree of medication adherence and physical activity, safety-related events such as falls, and physiological parameters such as blood pressure and blood glucose concentration. In some cases, real-time analysis of captured data may be performed to enable rapid clinical decision-making. Given the potential to improve patient health outcomes, healthcare systems around the world are actively engaged in fashioning, implementing, and exploring the outcomes of various RPM program models, each envisioned to improve patient care in a sufficiently effective and efficient manner to produce value. However, new challenges to healthcare systems include increasing RPM program enrollment, optimizing condition-specific RPM programs to best address the needs of specific patient groups, integrating new RPM-derived data streams into existing information technology infrastructures, overcoming limited availabilities of desired remote monitoring technologies, and quantifying the health outcomes produced by RPM utilization. Herein, we identify stakeholders for RPM in the US, summarize the landscape of RPM tools available for chronic disease management, discuss the current regulatory environment, delve into the benefits and challenges of integrating these tools into clinical practice, summarize aspects of coverage and reimbursement, and examine the knowledge gaps regarding sustained use of RPM in clinical practice along with associated opportunities.
Jan Kochanowski (1530-1584) – un émule polonais de Ronsard ?
Authors: Wawrzyniak Natalia
Published: December 2024

Jan Kochanowski, écrivain emblématique de la Renaissance polonaise, est souvent qualifié de « Ronsard polonais ». Dans son Élégie VIII, écrite peu après son séjour parisien entre 1558 et 1559, Kochanowski relate sa rencontre avec Ronsard, qui chante ses poèmes en langue vernaculaire. Depuis les cours d’Adam Mickiewicz au Collège de France (1840-1842), la critique établit un lien entre cet épisode et la décision de Kochanowski de composer dorénavant en polonais, ce qui ferait de Ronsard ni plus ni moins que le « père » de la littérature polonaise. Dans cet essai, je présenterai différentes interprétations de cette énigme historique, ainsi que les constructions parallèles des personae littéraires des deux poètes nationaux, afin d’éclairer la réception polonaise de Ronsard.
Gli Amori delle piante: materialismo filosofico e galanterie poetiche in età napoleonica
Authors: Tongiorgi Duccio
Published: December 2024

Il tema degli “amori delle piante” – già ben attestato nella letteratura classica e poi particolarmente fortunato dal XVII secolo – assume una rilevanza significativa nella poesia italiana di età napoleonica; a determinarne il successo è senz’altro la fortuna, che tracima anche al limitare dell’Ottocento, della poesia didascalica e scientifica, in specie se piegata a motivi occasionali: in questo caso, tipicamente, i versi “per nozze”. Ma il tema offre molte declinazioni, che fanno affiorare – si pensi agli Amori delle piante di Darwin, nella traduzione di Gherardini – impegnativi riferimenti ai nuovi paradigmi scientifici, confronti di teoria letteraria e precisi affondi di polemica sociale.
De lugares, memorias, búsquedas e interlocuto res: Carmen Martín Gaite y Paloma Díaz-Mas
Authors: Encinar Ángeles
Published: December 2024

La infancia es una etapa determinante en todo ser humano y, en el caso de las autoras estudiadas en este artículo, tuvo un papel fundamental en su formación de escritoras. Desde la perspectiva del yo, las dos indagan en motivos y obsesiones que marcaron su niñez y juventud y, posteriormente, configuraron la temática de sus obras. Rasgos autobiográficos y fantasía se entretejen y, desde el recuerdo, construyen un retrato individual y colectivo.
La poesía inicial de Carmen Martín Gaite: pasos primerizos en la iconicidad y la autorre ferencialidad implícita
Authors: López Guil Itzíar
Published: December 2024

La iconicidad fue un recurso discursivo frecuentemente utilizado por Carmen Martín Gaite en sus cuentos para construir –mediante los efectos au torreferenciales implícitos que genera– un segundo nivel de sentido, de carácter figurado y naturaleza metaliteraria. Este estudio se propone mostrar cómo la escritora salmantina aprendió esas estrategias discursivas ya en su poesía de juventud, puesto que están presentes El paraíso recobrado, un cuaderno inédito en el que recopila poemas de 1947-1948 que luego, en su mayoría, desechó y no quiso publicar.
Post-translational histone modifications associated with the development of metabolic dysfunction-associated fatty liver disease. Part 2. Histone methylation
Authors: Abaturov O.E. , Nikulina A.O.
Published: December 2024

Based on the analysis of literary sources of databa­ses Pubmed, MEDLINE, The Cochrane Library, Embase, the authors highlight the essential role of epigenetic modulations in the pathogenesis of metabolic dysfunction-associated fatty liver disease. They give general provisions regarding post-translational histone modifications, which are associated with the development of metabolic dysfunction-associated fatty liver disease, namely, the features of their methylation, post-translational modifications of methylation of lysine residues (sites H3K4, H3K27, H3K36, H3K79, H4K20, H3K23, H3K63 and H4K12), arginine residues (sites H2AR3, H4R3, H3R2, H3R8 and H3R26). Histone methy­lation and demethylation, mediating the expression of key genes involved in carbohydrate and lipid metabolism, determine both the occurrence and development of steatosis, inflammation and fibrosis of the liver in patients with metabolic dysfunction-­associated fatty liver disease. Methylated markers H3K9, H3K27, H4K20 of histones are associated with packed heterochromatin and repression of gene transcription, while methylated markers H3K4, H3K36, H3K79 of histones are associated with activation of gene transcription. Methylation of lysine or arginine residues of histones is carried out by methyltransferases that use S-adenosylmethionine as a donor molecule. The methylated site of an arginine residue can be represented by a monomethylated, asymmetrically demethylated, or symmetrically demethylated marker, whereas demethylation of a lysine marker is mediated by demethylases. The authors provide data that in metabolic dysfunction-associated fatty liver disease, the main sites in which aberrant methylation is observed are H3K4, H3K9, H3K27, H4R3, H3R8, and H2AR3. Several genes of histone methyltransferases and histone demethylases have been identified, which are differentially expressed in patients with metabolic dysfunction-associated fatty liver disease and healthy people. The authors emphasize that the enzymes involved in the histone methylation and demethylation are targets of future drugs, which will certainly improve the effectiveness of drug therapy in patients with metabolic dysfunction-associated fatty liver disease.
The latest diagnostic methods for esophageal and gastric examinations. High-resolution manometry is now available in Ukraine
Authors: Stepanov Yu.M. , Prolom N.V. , Tarabarov S.O.
Published: December 2024

To date, there are several advanced methods for diagno­sing esophageal and gastric disorders that are actively used in clinical practice, among which high-resolution (HR) manometry stands out. This innovative study provides an opportunity to assess in detail the functional state of the esophagus, in particular the coordination of muscle contractions during swallowing and the function of the lower esophageal sphincter. HR manometry is an effective tool for detecting motility disorders such as achalasia, gastroesophageal reflux disease, diffuse esophageal spasm, as well as other functio­nal disorders that can affect the process of swallowing and moving food through the esophagus. One of the main advantages of HR manometry is accurate diagnosis of functional esophageal disorders due to the use of special catheters with numerous sensors located at a short distance from each other (about 1 cm). This allows you to create detailed topographic maps of pressure in the esophagus, which show the contraction of its muscles in real time. Thanks to this high resolution, it is possible to detect even minor motility disorders that previously went unnoticed when using traditional diagnostic methods. HR manometry has significantly improved the diagnosis of achalasia due to the ability to clearly identify three subtypes of this disease (classic achalasia, pan-esophageal pressure, and spastic achalasia). This allows doctors not only to make a more accurate diagnosis, but also to choose the optimal treatment strategy adapted to the specific type of disorder. In case of gastroesopha­geal reflux disease, HR manometry helps assess the function of the lower esophageal sphincter and diaphragm, which is important for detecting diaphragmatic weakness, which is one of the main causes of pathological reflux. In addition, this method makes it possible to diagnose concomitant peristalsis disorders that affect the ability of the esophagus to clear from acid reflux, thereby helping doctors better understand the mechanism of the disease and prescribe more effective treatment. Thus, HR manometry has a key place among modern methods for diagnosing esophageal disorders, allowing not only to accurately detect motility disorders, but also to optimize treatment. This significantly improves patients’ quality of life, as it helps doctors choose the most effective therapeutic strategies based on accurate data about esophageal function.
Bonded Composite Laminates (E-Glass to Graphite) Failure Analysis Subjected to Axial Tension
Authors: P Prasad , P Sreenivasa Murthy B , B Thimmegowda M
Published: December 2024

Abstract: Researchers studied influence of various parameters on the failure behaviour on metal and composite joints. The one
of the challenge in analysis of bonded joints of dissimilar materials of the stress and strain fields at the adhesive layer and
adherents. The adhesive bonded joints are most used in present technology in aerospace engineering, mechanical engineering,
automotive sectors and civil engineering. This work is based on numerical tools of engineering structures adhesion problems.
The proposed numerical tools are implemented Finite Element Method (FEM). A numerical methods based on finite element
models can be very useful in describing the failure response of each load step. A FE investigation are carried out for composite
to composite bonded joints between E-glass/epoxy to Graphite/epoxy laminates of unidirectional, 0/90/90/0 and 0/30/-30/90
layers orientations are chosen with 2 mm thickness of four layers with 75 mm overlap length. Finite element progressive ply by
ply failure analysis of dissimilar composite bonded joint is the target of this study
Benchmark and Case Studies of Finite Element Modeling for CFD Analysis
Authors: P Prasad , P Sreenivasa Murthy B , B Thimmegowda M
Published: December 2024

Abstract: The finite element method (finite volume method) in general and commercial FEA software in particular implemented
on a digital computer offers the only unified approach for fluid flow analysis. Finite element modeling is defined here as the
analyst’s choice material models, element(type/shape/order), meshes, constraints, analysis procedures, governing matrix
equations and their solution methods, specific pre and post processing options available in a chosen commercial FEA software
for CFD analysis of candidate problems. The focus of this work is on the use of ANSYS FLUENT software and problems of
general interest to mechanical engineers. Using FE models developed using FLUENT significant numerical results are
graphically presented and discussed for each problem in separate chapters. The presentation concludes with identification of
problems for future work in this field.
Indri: Remote Controlled Robot for Sensing Hazardous Gases in Mines
Authors: Sahu Jitesh Kumar , Mahapatra Pranjal , Rao K Yashwant , Verma Sparsh , Sharma Eshank , Wadhwa Ms. Sonia
Published: December 2024

Abstract: "Indri" is a remote-controlled robot developed to improve safety in mining operations by detecting hazardous gases
that pose risks to human health and safety. Using sensitive gas sensors, Indri identifies the presence of harmful gases like
methane and carbon monoxide within mines environment. Operated remotely, the robot allows for real-time monitoring from a
safe distance, reducing the need for human exposure to potentially dangerous conditions. Indri’s compact design enables it to
navigate confined spaces, while its communication system transmits live data to a control interface, alerting users when gas
levels exceed safe limits. By providing early warnings, Indri offers a proactive solution to enhance mine safety, making it a
valuable tool for environmental monitoring and risk management
Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation
Authors: Siddiqa Ayesha , G Shreya , V Shambhavi S , Hani Umme , K Varshaa S
Published: December 2024

Abstract: Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation is an innovative platform that transforms
modern agriculture using advanced data analytics and artificial intelligence. By integrating historical crop data, satellite
imagery, soil analysis, and real-time environmental inputs, the system provides precise yield predictions. Machine learning
algorithms are employed to recommend the most suitable crops based on specific geographic and soil conditions, empowering
farmers to maximize productivity and profitability. Agrivision fosters precision farming by offering insights into resourceefficient practices and market trends, promoting sustainable decision-making. Accessible via mobile and web platforms, the
solution is inclusive, scalable, and designed to meet the needs of farmers. It reduces agricultural risks, enhances resource
management, and supports sustainability, fostering economic resilience in the agricultural sector.
Disaster Management System: A Machine Learning Approach to Forecasting Floods and Earthquakes
Authors: Meshram Nikita , Mandve Pallav , Vitankar Tejas , Motghare Shrusti , Patil Saaniya , Katole Prof. Dinesh
Published: December 2024

Abstract: Natural disasters, particularly floods and earthquakes, pose significant threats to human life, infrastructure, and the
environment. Timely and accurate prediction of such events can greatly enhance disaster preparedness and response efforts,
reducing their devastating impact. This project presents an AI-Driven Disaster Prediction System that leverages machine
learning algorithms to forecast the occurrence and intensity of floods and earthquakes. By analyzing key environmental and
geophysical parameters such as rainfall patterns, river water levels, seismic activity, and soil composition, the system can provide
early warnings and improve decision-making processes for disaster management agencies.The flood prediction component
integrates historical weather data, topographical information, and water flow metrics, while the earthquake prediction model
utilizes seismic activity data, fault line mapping, and ground vibration readings. Through data pre-processing, feature selection,
and model training using machine learning techniques like regression models, decision trees, and time-series analysis, the
system aims to predict disaster events with high accuracy.The ultimate goal of this AI-based system is to develop a scalable, realtime solution that empowers communities and governments with advanced disaster forecasting capabilities.
Autonomous Robot for Hospital Application
Authors: Kiran Dr. Prathibha , S Dr. Jagadeesha , K Renukesh , K Rachana , V Venkat Ram N S L , G Hemanth
Published: December 2024

Abstract: In modern healthcare environments, especially during pandemics and critical health events, ensuring effective patient
care while minimizing direct human contact has become paramount. This research focuses on the development of an
Autonomous Robot for Hospital Application, designed to support healthcare professionals in routine tasks such as patient
monitoring, delivery of medicines to wards and prescription of medicines. Equipped with various sensors, the robot monitors
vital parameters such as body temperature, spo2 levels, heart rate, ECG, delivers medicines to wards and provide accurate
prescriptions for ten general symptoms, including appropriate dosages, reducing the burden on medical staff and ensuring
timely patient assistance. The system integrates autonomous navigation with obstacle avoidance, ensuring safe movement
through hospital corridors. It also features a user-friendly interface for healthcare workers to interact with the robot effectively.
By automating routine tasks and enabling remote patient engagement, this innovative solution enhances operational efficiency,
reduces the risk of infection for healthcare workers, and ensures continuous patient care even during emergencies. This paper
discusses the system's design, implementation, and potential impact, showcasing its contribution to advancing healthcare
Microstrip Antenna for Wideband Application using Inset Feeding
Authors: S Dr. Jagadeesha , Kiran Dr. Prathibha , Masood Syed Yousuff , Fuzail Mohammed , K Kushal T , Pujar Ningappa T
Published: December 2024

Abstract: This paper presents the design and implementation of a microstrip antenna array optimized for wireless
communication. The proposed design focuses on enhancing gain, bandwidth, and compactness, and efficient feeding techniques.
Simulation using IE3D software validated the design, achieving a gain of 3.17 db with a return loss of - 46.93db for the 4-
elemental array. Practical testing with a Vector Network Analyzer confirmed its applicability for technologies like 5G and Wi-Fi.
The results demonstrate a high-performance, cost-effective solution for modern wireless system
AIR- Based Battery Thermal Management System
Authors: Aher Suraj , Dhote Aniket , Dabade Pankaj , Suryawanshi Vishal , Katare Ishanya , Jolhe Dr. S. P.
Published: December 2024

Abstract: Airbased Battery Thermal Management System (BTMS) ensures efficient monitoring and control of battery
parameterssuch as voltage, temperature, and current to maintain optimal performance and longevity. This research delves into
the development of an advanced BTMS that continuously senses battery temperature and employs air cooling through fans to
keep the temperature within permissible limits. The system is designed to enhance battery safety, reliability, and lifespan by
preventing thermal runaway and promoting efficient thermal regulation. Through extensive testing and simulation, the proposed
BTMS demonstrates significant improvements in maintaining battery temperature stability, ultimately contributing to enhanced
opera- tional efficiency and prolonged battery life. Lithium-ion batteries are considered as the best choice available for the
energy storage systems, for portable devices, electrical vehicles and for smart grid, thanks to their high energy and power
densities, lack of memory effect and life cycle. However, heat generated by these batteries remains a challenge. Without an
appropriate Battery Thermal Management System (BTMS), the lithium ion battery surface temperature can increase very
rapidly and thus creating hazard for the user and the equipment. This paper presents a Air based Battery thermal Management
System with variable fan speed
Control of Indoor Aero flora using Biobased Cups
Authors: Saleem Sayana , Thomas Sanjo S , S Nisy
Published: December 2024

Abstract: Indoor air quality is a critical concern, as poor air quality can lead to various health Issues. Microorganisms in indoor
air can significantly contribute to air pollution and adversely affect human health. Therefore, effective methods for reducing
microbial load in indoor environments are essential. Our study focused on isolating and identifying microbes from indoor air
and evaluating a biobased fumigation cup made from natural materials for controlling indoor air microflora. Air samples were
collected using the open plate technique, and microbes were isolated and identified based on their characteristics. The
predominant bacteria in indoor air identified were Bacillus sp, Pseudomonas sp, Serratia sp, and Micrococcus sp and the fungi
identified were Aspergillus sp Penicillium sp, Fusarium sp, and Mucor sp. The Bio-based cup is prepared using Neem,
Aparajitha dhooma choornam, and Boswellia serrata resin, effectively reducing microbial load, particularly fungi, in indoor air.
However, some bacterial strains showed resistance to the cup. Overall, our study highlights the potential of the biobased
fumigation cup as an effective, natural method for improving indoor air quality, showing practical benefits without adverse
effects, advocating for broader adoption in various applications, and encouraging environmentally conscious practices.
Deep Learning Driven Vegetable Disease Classification and Analysis
Authors: N Radhika S , S Sagar H , T Varun K , N Vismay P , P Yashas
Published: December 2024

Abstract: The "Deep Learning-driven Vegetable Disease Classification and Analysis" project offers an innovative, accessible
solution for early detection and management of vegetable crop diseases, addressing a critical need in agriculture where
undiagnosed diseases lead to significant losses, especially for farmers in remote areas with limited access to expert guidance. By
leveraging deep learning technology, the project develops an advanced model capable of accurately identifying common
vegetable diseases from images uploaded through a user-friendly web application. This allows farmers to quickly diagnose issues
and receive practical solutions, enabling timely action to reduce crop damage, improve yields, and enhance their livelihoods. The
platform is designed with inclusivity and accessibility in mind, incorporating features such as multilingual support, offline
functionality, and real-time updates to cater to diverse farming communities, particularly in resource-constrained regions.
Beyond its immediate utility, the project creates opportunities for further research, enabling the model to expand its scope to
identify a wider range of diseases and adapt to varying environmental conditions as it learns from new data. It also opens
avenues for partnerships with agricultural organizations, government bodies, and private players, allowing the platform to
integrate seamlessly into broader agricultural ecosystems, provide farmers with educational resources, and connect them to
supply chains and expert networks. By promoting early disease detection and informed management practices, the project
minimizes the overuse of pesticides, contributing to environmental sustainability and improved food quality. Additionally, the
data generated by the platform offers valuable insights into disease patterns, guiding policy decisions and targeted agricultural
interventions.
PROSPECTIVA Y ESTRATEGIAS DEL GOBIERNO Y LA ADMINISTRACIÓN PÚBLICA FRENTE A LA CUARTA REVOLUCIÓN INDUSTRIAL
Authors: Velasco Sánchez Ernesto
Published: December 2024

La cuarta revolución industrial o plantea desafíos para los gobiernos en países en desarrollo, pero también ofrece oportunidades para mejorar la eficiencia, la transparencia y la participación ciudadana. Este artículo explora escenarios prospectivos para la gobernanza y el aprovechamiento de las tecnologías emergentes en países en vías de desarrollo. El objetivo es discutir alternativas y variables clave que afectarán la forma en que los gobiernos se preparan para enfrentar los riesgos y capitalizar las ventajas de las tecnologías 4.0 Para ello, se identifican cuatro ejes de transformación derivados de la adopción de tecnologías de la cuarta revolución industrial. Igualmente, se plantean escenarios futuros basados en capacidades y estrategias, con el objetivo de reflexionar sobre la gobernanza en esta nueva era.
DISCURSIVE FEATURES OF DESIGNING THE PROFESSIONAL IMAGE OF EMPLOYEES OF INTERNAL AFFAIRS BODIES
Authors:   Orel Law Institute of the Ministry of the Interior of the Russian Federation named after V.V. Lukyanov, KIRYUKHINA Yu.V.
Published: December 2024

The goal is to structure the discursive features of constructing the professional image of law enforcement
officers.
Research methods. The authors used the method of analyzing drawings as a modern tool for studying the image of law enforcement officers. The use of this method helps to expand the capabilities of the tools of visual sociology and psychology of perception, allowing us to determine the features of citizens' perception of law enforcement officers.
The stages of the analysis are described, including the collection of drawings, their interpretation and comparison with public stereotypes about the police. The empirical basis of the study is based on the results of a survey of the population of Orel and the Oryol region, conducted in June 2024 by analyzing drawings among 244 respondents.
The artistic expression of the formed image of law enforcement officers forms a consciously constructed image. The authors emphasize that this method can become a valuable addition to traditional sociological research and help in developing strategies for forming a positive image of the police in the eyes of society. The directions that ensure the approximation of the expected image are substantiated.
REGIONAL ASPECTS OF DEVELOPMENT OF INDUSTRIAL PARKS IN RUSSIA: TECHNOLOGIES AND REGULATION MECHANISMS
Authors:   Plekhanov Russian University of Economics, Voronezh branch, LYUBKINA O.R.
Published: December 2024

The improvement of the state industrial policy in the Russian Federation is connected not only with the need to ensure the country's technological sovereignty within the framework of sectoral industrial policy, but also with the formation of Russia's technological leadership in the international arena, which (sovereignty and leadership) are influenced by the institute of industrial and industrial parks.The study of the mass phenomenon of park structures with preferential regimes for the institutionalization of new industrial and agro-industrial productions allows us to develop an effective algorithm for the actions of authorities and management of the Russian Federation, both in the industrial complex and in the real sector of the economy, ensuring the industrial development of the country and territories.
Research area: public administration and sectoral policies.
The purpose of the article is to present management innovations in the work of industrial and industrial parks, which affect the quantitative and qualitative production of industrial products through industrial enterprises that are residents (participants) of park structures.
The object of research is industrial and industrial parks as a mechanism and a mass phenomenon of industrial policy.
The subject of the research is managerial innovations in the work of park structures as a priority in the functioning of development institutions.
As a result of the research, the author presents the directions for improving industrial and industrial parks within the framework of an innovative approach that ensures positive changes in regional territories, including the industrial development of the subjects of the Russian Federation.
IDENTIFICATION OF SIGNIFICANT FACTORS IN FORMING THE REPUTATION OF RUSSIAN AUTHORITIES: ACCORDING TO THE RESULTS OF A SOCIOLOGICAL STUDY
Authors:   Smolensk State University, ROZANOVA N.N. , KSENOFONTOV S.A. ,   Smolensk State University
Published: December 2024

The purpose of the article is to identify significant factors in the formation of the reputation of Russian authorities, determining the relationship between them and the assessment of the reputation by the population.
The empirical basis of the study is an array of data - the results of mass sociological surveys of the population conducted in 2021-2022 in 11 constituent entities of the Russian Federation.
The use of methods of mathematical statistics and Data Mining allowed us to obtain the following results.
The following factors have a statistically significant impact on the assessment of the reputation of Russian authorities for respondents: features of reputation perception (shift in the range of equivalence of perception); interest in the activities of the authorities; trust in people and organizations; personal satisfaction with life; assessment of the substantive characteristics of reputation).
When assessing the reputation of Russian authorities, respondents, in fact, assess its honesty, responsibility, fairness, strength of power, closeness to people, professionalism and incorruptibility. These characteristics and their assessment determine the overall assessment of the reputation of Russian authorities.
The predictive model constructed in this case allows us to correctly predict 57.5% of the total volume of values. The predictive role of the model is determined by the possibility of targeted influence on these factors for a corresponding change in public opinion aimed at increasing the assessment and forming a positive reputation.
Prospects for further research are associated with studying the influence of the entire set of factors in the formation of the reputation of Russian authorities, constructing an appropriate predictive model with an increase in its accuracy, and empirical testing using the example of a pilot region.
impacto social do trabalho das trancistas brasileiras e o ativismo feminista negro interseccional
Authors: Areias Nicolau Siqueira Ana Carolina , Rocha Mattos Amana
Published: December 2024

O texto discute o ativismo feminista negro de trancistas na diáspora africana no Brasil e o impac- to social de sua prática. Embora o movimento de mulheres negras trancistas permaneça lutando para a formalização dessa categoria, os efeitos de suas ações são notáveis na sociedade. Por meio do pensamento feminista negro interseccional, construímos a fundamentação teórico-metodo- lógica, enfocando o que tem sido desenvolvido por diferentes trancistas, tomando a experiência vivida como critério de conhecimento válido entre mulheres negras. Nesse sentido, este trabalho objetivou apresentar alguns aspectos observados nas análises de pesquisa de campo com trancis- tas de diferentes regiões do Brasil. Os resultados apontam que as mulheres negras trancistas pre- servam os saberes ancestrais do trancismo, desenvolvendo seus conhecimentos conectadas ao seu tempo histórico, expressando o ativismo feminista negro interseccional ao garantir a subsistência individual e coletiva; participando de projetos de transformação social e dialogando com o seu território em diferentes instituições brasileiras.
Eu faço meu destino: uma análise do marcador social de gênero no filme Alice no País das Maravilhas
Authors: Vieira dos Santos Deborah Luísa , Nunes Eller Emerson , Diamantino Braga dos Santos Isabela
Published: December 2024

O artigo analisa a representação da mulher no filme Alice no País das Maravilhas (2010), de Tim Burton, por meio da cena do pedido de casamento recebido por Alice. O objetivo é entender como o marcador social de gênero atua nessa narrativa e qual a mensagem oculta no enredo para os dias atuais. Para isso, foram aplicadas como metodologia a Análise Textual e a Análise da Imagem, ambas estudadas pela Análise Fílmica. Como categorias de análise, foi observado o posi- cionamento da personagem na cena. No filme, nota-se que o marcador de gênero surge na forma como a mulher é subordinada e destinada a se tornar dona do lar, colocando os desejos alheios à frente dos seus, algo que a protagonista Alice interrompe ao longo de sua jornada.
Costurando esperança: projetos com costura e artesanato no Rio de Janeiro como um possível caminho para a produção de artigos de moda
Authors: Cruz Bárbara , De Souza Couto Rita Maria , Portas Roberta
Published: December 2024

O presente artigo busca refletir sobre diferentes alternativas para o modelo de produção tradicio- nal e massificado que prevalece no sistema de produção de artigos de moda. Para isso, parte da análise e do estudo de dois negócios sociais com atividades de costura e artesanato localizados no Rio de Janeiro: a Pipa Social e a Rede Asta. Por meio dessa análise, pretendemos entender se essa produção local e responsável tem representatividade no setor da moda e ainda se o designer é ca- paz de assumir uma postura socialmente responsável e representar um agente capaz de melhorar os problemas do setor de produção em moda. A abertura dialógica da antropologia favoreceu a reflexão sobre os sentidos sociais do design e a fundamentação teórica foi fortalecida por autores da antropologia, servindo de fio condutor para a análise dos casos apresentados.
A UPFC based Optimal Power Flow of an Integrated Power System
Authors: MD.Yaseen  , Sravana Kumar Bali
Published: December 2024

The geopolitical landscape of the world has made it abundantly evident how important energy resources are and how best to use them on Earth. The ultimate consumers of electrical energy benefit from an additional benefit of lower costs due to resource optimization. In this paper a multi-objective optimal power flow (OPF) for an integrated power system in the presence of FACTS devices has been proposed. The selection of the multi-objective function makes this paper unique. Minimizing Negative Social Welfare (NSW) voltage variation and power loss are part of the objective function. Lower loss and NSW's guarantee of lower electricity costs per unit at the customer's end result in higher customer satisfaction. The Unified Power Flow Controller (UPFC) is the FACTS device utilised to solve the issue. An IEEE 57 bus system has been used to test the hypothesis. The objective function has been optimized by applying the Mouth Flame Optimisation Algorithm.
Colombianitud
Authors: Leal Afanador Jaime Alberto
Published: December 2024

"Colobianitud" es un término aún no acuñado por la Real Academia de la Lengua ni el Diccionario de Colombianismos, pero expresa perfectamente la intregración de diversidades que definen el talante, la fuerza. Las expectativas, las virtudes y hasta las debilidades de los nacidos en esta patria.para comprender mejor las bondades y desafíos que ello implica y, sobre todo, portenciar ese orgullo de er Colombian con miras a la consolidación en el mediano y largo plazo, de una nación próspera y con bienestar extendido, el texto parte de un análisis histórico y documentado que promueve calves para responder a la pregunta de si, cultural y vivenvialmente, ¿somos la mezcla de lo que heredamos de los aborígenes indígenas, de los que nos marco como rasgo distintivo las esencias de las comunidades afrocolombianas y de las buenas o males contumbres que aprendimos o nos impusieron los conquistadores españoles, que se ha moldeado en etapas previas y posteriormente al grito de independencia?La experencia, formación e investigaciones del autor, como rector de la universidad con mayor presencia y número de estudiantes en todos los rincones del país, permite dimensionar cómo una educación inclusiva, universal y de calidad, bien podría fortalecer la idiosincrasia del ser colombiano para bien de todos en especial de las futuras generaciones.
Purchase Decisions among Non-Muslim: The Role of Islamic Branding, Product Ingredients, and Islamic Social Environment
Authors: Anggraeni Erike , Normasyhuri Khavid , Wisnu Kusuma Tri Atmaja Pramudita
Published: December 2024

The influence of acculturation on non-Muslims’ purchase decisions remains an unanswered question. Thus, the impact of the Islamic environment on non-Muslim purchase decisions requires further exploration. This study examines how Islamic branding and product ingredients affect purchase decisions and whether the Islamic social environment can strengthen or weaken this relationship for non-Muslim consumers. This study employed a quantitative approach using SmartPLS 3.0. Data were collected from 500 non-Muslim respondents using purposive sampling. The results indicate that both Islamic branding and product ingredients significantly influence non-Muslim purchase decisions, highlighting the growing importance of ethical and cultural considerations in consumer behavior. Moreover, the Islamic social environment plays a crucial role in moderating this relationship, further strengthening the impact of Islamic branding and product ingredients on purchase decisions. These findings suggest that non-Muslim consumers are not only responsive to the intrinsic qualities of products but are also influenced by the broader Islamic social context in which these products are marketed. This offers valuable insights for the government and companies in developing effective strategies to market Indonesian halal meat products to non-Muslim consumers globally. A deeper understanding of non-Muslim purchasing behavior can enhance their position in the halal industry.
Abusive Leadership and Organizational Citizenship Behavior among Sharia Bank Employees: The Moderating Role of Handarbeni
Authors: Cahyono Edi , Widarjo Wahyu , Fenitra Rakotoarisoa Maminirina
Published: December 2024

The unresolved link between abusive leadership and Organizational Citizenship Behavior (OCB) can be clarified through handarbeni, an attitude of empathy and a sense of belonging to one's organization. This study   aims to explain the relationship between abusive leadership and employees' OCB while proposing an alternative model that conceptualizes handarbeni as a moderating variable to clarify this connection. The study involved 250 employees from Sharia Banks in Surakarta, Indonesia, selected through purposive sampling. Data were collected using both direct and online questionnaires through Google Forms. Multiple linear regression analysis was employed to examine the impact of independent variables on   dependent variables, while Moderated Regression Analysis (MRA) was utilized   to assess the moderating effect using SPSS version 26 software. This study revealed a negative and significant correlation between abusive leadership and employees' OCB. Additionally, the study found that handarbeni   moderated the relationship between abusive leadership and employees' OCB. The findings indicate that employees with varying levels of a sense of belonging exhibited different behavioral patterns when subjected to abusive treatment from their superiors. The results suggest that leaders must minimize abusive behavior to enhance employees’ OCB. Furthermore, company leaders should   provide stimuli to foster a strong sense of handarbeni among their employees.
The Antecedents of Muslim Tourists’ Revisit Intention: The Mediating Role of Visitor Satisfaction
Authors: Habibi Faisol , Supriani Indri , Tumewang Yunice Karina
Published: December 2024

This study aims to investigate the key antecedents influencing the revisit intentions of Muslim tourists to Batu City, East Java, Indonesia. Specifically, the research examines the impact of destination image, service quality, availability of halal facilities, and visitor income on the propensity to revisit, with visitor satisfaction introduced as an intervening variable. Utilizing 209 samples, the data is analyzed through Structural Equation Modeling-Partial Least Squares (SEM-PLS) to assess the direct and indirect relationships between the variables. The results demonstrate that destination image exerts a significant and positive effect on Muslim tourists’ intention to revisit Batu City, while service quality, halal facilities, and visitor income show no statistically significant direct impact. However, all four factors—destination image, service quality, halal facilities, and visitor income—collectively enhance visitor satisfaction, which in turn mediates their indirect influence on revisit intentions. This research offers valuable insights for local governments, tourism stakeholders, and academic circles by identifying factors crucial for improving the Muslim visitor experience. The findings have practical implications for enhancing the attractiveness of Batu City as a tourism destination, ultimately contributing to increased visitation rates among Muslim tourists.
Revisiting the Nexus among Bank Specific Factors, Macroeconomic Factors, and Islamic Banking Performance: Three Measurement Models
Authors: Razali Razali , Haryono Slamet , Abdou Ousmane Salifou , Jailani Munawar Rizki , Imamuddin Imamuddin
Published: December 2024

Much of the research on Islamic banking performance relies on conventional metrics rather than Islamic metrics, warranting further exploration. This study provides an empirical analysis of bank-specific and macroeconomic factors on Islamic banking performance from 2016 to 2024 using three measurement models. Monthly data were processed using the ARDL approach and revealed that capital adequacy influences Islamic banking performance in the short term, but has no effect in the long term. Liquidity has an effect only in the long term. Financing Outstanding has a negative effect in the short and long term, while diversification has an effect in the short term but no effect in the long term. Bank size affects performance in the short term, but not in the long term, while macroeconomic factors show an inconsistent relationship. In the IPR model, inflation and exchange rates have no impact in either the short or long term. However, in the ROA and NOM models, these factors affect the long term, but not the short term. This study suggests that banks need to pay attention to financing and exchange rate risks, including the implementation of a strong risk-management system.