bluuebunny/crossref_metadata_2025 huggingface dataset:
Local Cultural Heritage in the Experience of Residents of Rural Areas
Authors: Bukraba-Rylska Izabella , Wieruszewska Maria , Burdyka Konrad
Published: January 2025

Local Cultural Heritage in the Experience of Residents of Rural Areas [original title: Lokalne dziedzictwo kulturowe w doświadczeniu mieszkańców wsi], Institute of Rural and Agricultural Development, Polish Academy of Sciences, Scholar Publishing House, Warsaw 2017, ISBN 978-83-7383-876-5, p. 242.
Wspomnienie o Profesorze Zbigniewie Tadeuszu Wierzbickim (1919–2017)
Authors: Kaleta Andrzej
Published: January 2025

Wspomnienie o Profesorze Zbigniewie Tadeuszu Wierzbickim (1919–2017).
The Use of “The Use of Force”
Authors: Koven Suzanne
Published: January 2025

“The Use of Force,” a vignette by William Carlos Williams, frequently appears in medical humanities syllabi. The story Williams tells in the vignette, about a physician’s violent encounter with a child he has been called to examine for possible diphtheria, is disturbing. The physician-narrator has murderous thoughts about his young patient and his “use of force” in roughly prying open her mouth suggests child abuse and even rape. Why, given the ugly content of this piece, is it so frequently used to train doctors and future doctors? An exploration of Williams’s career as a writer and as a physician as well as a close reading of the text may provide some answers.
Overcoming challenges and bridging gaps in chronic kidney disease management in primary care
Authors: Nodrbek Ulug’bekovich Kayumov  , Botir Turg’unpulatovich Daminov
Published: January 2025

Chronic Kidney Disease (CKD) poses significant challenges to primary care systems globally, hindering early detection, effective management, and prevention of disease progression. Key barriers include healthcare system limitations, knowledge gaps among providers, and patient-related factors. In many resource-limited settings, there is insufficient access to specialized care, diagnostic tools, and essential medications, which exacerbates the progression of CKD. Additionally, financial constraints prevent adequate care, while a lack of comprehensive CKD training for primary care providers leads to missed opportunities for early intervention. Patient adherence to lifestyle changes and medications is also influenced by socioeconomic factors, making disease management more complex. Emerging advancements in research, such as novel biomarkers, and technological innovations like telemedicine and wearable devices, offer promising solutions for improving CKD care. However, addressing these challenges requires systemic changes, including policy reforms, enhanced provider education, and better access to resources. The integration of CKD management into primary care could significantly reduce the burden on healthcare systems, improve patient outcomes, and enhance quality of life for those affected.
Antenatal imaging of retinoic acid embryofetopathy: A case report and review of literature
Authors: Diarra Ndiaye Mame , Leye Mohamed , Sall Ndèye-Racky , Cisse Lissoune , Gueye Mamour
Published: January 2025

Isotretinoin is a derivative of vitamin A that has been implicated in the occurrence of fetal abnormalities since the 1980s. The reported abnormalities involve the heart, face, and central nervous system. All of the described malformations have been identified postnatally. This case describes prenatal imaging of an embryofetopathy. The patient was a 29-year-old primigravida. She had a history of acne treated with isotretinoin. After missing 3 contraceptives pills, she experienced amenorrhea. An ultrasound performed at 22 weeks of gestation revealed cerebellar vermis agenesis, thymus aplasia, agenesis of pulmonary valves, and ear abnormalities. This is the first time that pulmonary valve agenesis has been described within the spectrum of isotretinoin-related malformations. Pulmonary agenesis was the only conotruncal heart defect not yet described in isotretinoin embryopathy. From this observation, we can recommend an investigation of isotretinoin exposure in any case of conotruncal heart defect without 22q11 deletion.
Sociedad Chilena de Filosofía.
Authors: Vidal Santiago
Published: January 2025

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Fenomenología de la espacialidad de la naturaleza.
Authors: Husserl Edmundo
Published: January 2025

Traducción: Karls Cordua
Juventud- Generación- Literatura
Authors: Díaz Casanueva Humberto
Published: January 2025

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Crónica.
Authors: Grandjot Carlos
Published: January 2025

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El ateismo político/ La vocation de Bergson.
Authors: Reding Marcel , Guitton Jean
Published: January 2025

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La Fenomenología del espíriru: La verdad de lacertidumbre de sí.
Authors: Federico Hegel Jorge Guillermo
Published: January 2025

Traducción de Fernando Zabala.
Rapsodia sobre dispersión y Clinamen
Authors: Oyarzún Pablo
Published: January 2025

Este es un comentario al libro de Jean-Luc Nancy La communauté desoeuvrée, en su reciente traducción al español. El comentario sigue la pista de la relación entre el "ser en común" nanciano y el Mitsen examinado por Heidegger en Ser y Tiempo, para dar cuenta de la reinterpretación que hace el filósofo francés del concepto de Dasein. A fin de iluminar esta reinterpretación, se hace referencia al tratamiento del tema de la dispersión en Ser y Tiempo y a su revisión en un curso subsiguiente del mismo Heidegger, en el cual se propone la noción de una "dispersión trascendental". Ésta es relacionada con la cuestión de la singularidad desarrollada por Nancy, en concomitancia con el concepto de clinamen, que esclarecería la comprensión nanciana del "con" del "co-estar" en dirección a la idea de una libre exposición de la singularidad como principio de la comunidad.
La teoría del caos y sus problemas epistemológicos
Authors: Lombardi Olimpia
Published: January 2025

El objetivo del presente trabajo es contribuir a la discusión epistemológica acerca de la Teoría del Caos. Nos concentramos en el problema de la definición de caos, argumentando que impredictibilidad y aleatoriedad algorítmica no constituyen
una base satisfactoria para definir el caos. El análisis de las diferentes manifestaciones del caos nos permite considerar el problema de encontrar una definición de caos única y adecuada -una definición que brinde condiciones
necesarias y suficientes válidas para todas los casos. Sostenemos que, dado el carácter matemático de la temía, la definición debe extraerse a partir de las características
de las ecuaciones caóticas.
Causalidad física: procesos causales y cantidades conservadas
Authors: Quezada Pulido Wilfredo
Published: January 2025

El presente artículo discute tres teorías recientes de causalidad física, las cuales, aunque buscan hacer espacio a análisis a posteriori de la relación causal, son
teóricamente compatibles con el análisis reductivista de Hume, que, como es sabido, es un análisis a priori de dicha relación. Tales teorías son la teoría de transferencia causal, la teoría de procesos causales y la teoría de cantidad conservada.Después de evaluar en detalle sus principales virtudes y defectos, arribamos a la conclusión de que ellas no son capaces de satisfacer una exigencia crucial en el programa reductivista de Hume, esto es, el rechazo de cualquier apelación -sea en la forma de contrafácticos o nociones relacionadas- a poderes causales ocultos que expliquen la producción del efecto.
La ética aplicada, sus condiciones de posibilidad y exigencias a las que responde
Authors: Escríbar Wicks Ana
Published: January 2025

El presente trabajo presenta las éticas aplicadas como una respuesta surgida a los problemas morales inéditos planteados por el actual nivel de desarrollo científico técnico, el proceso de globalización en curso y el pluralismo moral propio de las modernas sociedades democráticas. Describe, luego, las exigencias a las que responde su surgimiento, destacando entre ellas los nuevos alcances espaciales y temporales de la acción humana. Analiza, finalmente, las condiciones que deberían satisfacerse para que dichas éticas cumplan su función complementadora de la ética tradicional en aquellos aspectos que, por su misma novedad, no pudieron ser abordados por ella.
Consideración trascendental de la respectividad
Authors: Bulo Vargas Valentina
Published: January 2025

El presente artículo intenta realizar una conceptuación de la respectividad trascendental en la filosofía del pensador vasco Xavier Zubiri, partiendo de una distinción entre respectividad y relación, para luego situarla en el segundo momento de la estructura trascendental de la realidad.
Kierkegaard y la ironía
Authors: Figueroa Weitzman Rodrigo
Published: January 2025

Este artículo presenta una revisión acotada del pensamiento de Soren Kierkegarrd respecto de la ironía. En primer término, se profundiza en el juicio del filósofo danés sobre el significado del concepto, la superioridad que le atribuye y los distintos tipos de ironía que existen. Asimismo, se muestra el ejemplo de Sócrates, como máximo paradigma de alguien irónico, así como el hecho de que la vida irónica se caracteriza por un rasgo clave: la inmediatez.
Inferencia hipotético-deductiva, inconsistencia y vaguedad
Authors: Ramírez Figueroa Alejandro
Published: January 2025

En este artículo se propone analizar la inferencia hipotético-deductiva de la contrastación empírica mediante la introducción de las siguientes dos restriccio­nes: a) a pesar de los enfoques clásicos en lógica y filosofia de las ciencias, en las ciencias empíricas hay inconsistencias; b) en las ciencias fácticas hay con­ceptos vagos.
Perspectivas sobre la filosofía taoísta
Authors: Palacios C. Jorge
Published: January 2025

Como religión, el taoísmo enseña que hay que actuar en contra de la naturaleza, mientras que como filosofia enseña que hay que conformarse a la naturaleza. Existe un sentido estratégico de la vida, inspirado en el cambio y desarrollo espontáneos del universo, y un sentido táctico que consiste en la aplicación del primero a las circunstancias más inmediatas. Aunque esta terminología nos re­cuerda el arte de la guerra, el arte de vivir se asemeja más a la navegación.
Bridging The Gap: How Kate Pullinger Transforms Physical Literature for The Digital Audience
Authors: rama Mano , Chugh Dr Pinki
Published: January 2025

The work of Kate Pullinger is a prime example of how traditional literature has been adapted for a digital audience by fusing traditional storytelling with cutting-edge methods that address the cultural and technological changes of the present day. Her major works including The Mistress of Nothing, The Last Time I Saw Jane, Weird Sisters, The Piano and Landing Gear are thoroughly examined in this essay to examine how she connects print and digital literature. The analysis starts with ‘The Mistress of Nothing’ where Pullinger’s skill at writing historical fiction provides a starting point for analyzing her narrative technique and themes of power, identity and freedom. Her experimental storytelling style is demonstrated in ‘The Last Time I Saw Jane’ and ‘Weird Sisters’ which foreshadows her later digital innovations by fusing psychological depth with genre-bending elements. In ‘The Piano’ and ‘Landing Gear’ she explores how physical literature can be adapted to new platforms while retaining its emotional and thematic resonance reflecting her involvement with multimedia storytelling. This study shows Pullinger’s development as a writer and her capacity to connect with a wide range of readers by contrasting her traditional and experimental works. Additionally, it explores the cultural and technological elements that shape her narrative decisions showing how her writings adjust to the changing nature of reader interaction in the digital era.
Grammatical Knowledge and Grammatical Competence Among English and Non-English Pre-Service Teachers
Authors: Kayalvizhi Mrs. R. , Shanmugam P N Lakshmi
Published: January 2025

Grammatical competence is defined as the linguistic ability required for the precise production of language in a certain context. This study aims to investigate the grammatical knowledge and competency of pre-service teachers, specifically at colleges affiliated to Tamilnadu Teachers Education University. In India, English is considered a second language, and in many instances, pupils exhibit deficiencies in grammar despite several years of study. In this regard, it is essential to comprehend the nature of the pre-service teacher’s grammatical competency and knowledge. This research has been undertaken for this goal. A survey was administered to students in their first and third semesters across several pedagogy subjects for fact-finding purposes. This study revealed that the grammar components like subject-verb agreement, pronoun-antecedent agreement, parts of speech and adjective-adverb agreement are positively correlated with grammar competency of pre-service teachers. And also, the grammar knowledge is play a crucial role for the grammatical competency of pre-service teachers.
PROFESOR SIR DEREK BARTON NOTA W DWUDZIESTĄ PIĄTĄ RODZNICĘ ŚMIERCI
Authors: Wicha Jerzy
Published: January 2025

Biographical sketch and the legacy of Professor D. H. R. Barton are shortly presented on the occasion of the twenty fifth anniversary of his death.
PEPTYDY I PEPTYDOMIMETYKI JAKO INHIBITORY TYROZYNAZY
Authors: Ledwoń Patrycja , Jewgiński Michał , Latajka Rafał
Published: January 2025

The publication reviews the results on the tyrosinase inhibition capacity of a short peptide and peptide conjugates with known low molecular weight inhibitors of this enzyme. Tyrosinase is a widespread copper-dependent enzyme capable of catalyzing two reaction pathways for oxidizing monophenols to o-diphenols and o-diphenols to o-quinones. Despite the wide distribution in nature, the peptide chain that builds the catalytic cavity is relatively highly conserved for all organisms. As the research results collected in the work show, the creation of short peptide conjugates with known tyrosinase inhibitors, such as kojic acid, significantly reduces the toxicity of the inhibitor and improves its stability.
ZASTOSOWANIE SPEKTROSKOPII OSCYLACYJNEJ W ANALIZIE FITOZWIĄZKÓW I SUBSTANCJI ODŻYWCZYCH W PRODUKTACH NATURALNYCH I SPOŻYWCZYCH
Authors: Mazurek Sylwester , Szostak Roman
Published: January 2025

The prevalence of lifestyle diseases and trends related to healthy eating contribute to the constant search for chemical compounds with specific biological activity. Studies are conducted on plants and substances of natural origin that have been used in medicine for millennia. Techniques of vibrational spectroscopy are an underrated group of methods enabling direct analysis of plant raw material and food in their native forms. The presented examples of Arabidopsis tissues, various species and hybrids of poplar and Cistus herb classification, as well as quantitative analyses of active compounds in plant material and pharmaceutical products and determination of physicochemical parameters of common food (i.e. milk, yoghurts, pasta and flour), demonstrate the possibility of using vibrational spectroscopy for comprehensive analysis of samples of natural origin. Typical measurement techniques and chemometric methods are briefly described in this paper. The scheme of quantitative analysis based on vibrational spectra is shown and the impact of selected experimental parameters on the accuracy of the obtained results is discussed. The imaging techniques used to analyse the changes in plant tissue structures caused by genetic mutations were also presented
NTEZA I ZASTOSOWANIE MODYFIKOWANYCH NANORUREK TiO2
Authors: Górzyński Daniel , Nadolna Joanna , Kozak Magda , Mazierski Paweł
Published: January 2025

Heterogeneous photocatalysis in the presence of semiconductor materials, especially TiO2, is increasingly studied due to its potential application in hydrogen generation, carbon dioxide conversion, and pollutant degradation. TiO2, known for its cost-effectiveness, stability, and safety, is particularly effective in its nanometric form, with nanotubes standing out for their structure that improves light absorption and charge carrier mobility. One approach to improve the properties of TiO2 for its application in photocatalytic processes involves its modification. Modifications of TiO2 nanotubes aim to reduce the rate of recombination of photogenerated charge carriers, increase photocatalytic activity in the UV range, extend its activity to the visible radiation range, and enhance reaction selectivity. Enhancing TiO2 photocatalytic efficiency involves modifications such as doping, creating heterojunctions, and introducing structural defects. The objective of this mini-review is to present selected methods of modifying TiO2 nanotubes obtained through anodic oxidation, leading to the enhancement of their photocatalytic properties.
SZKIELETY METALO-ORGANICZNE DO ZASTOSOWAŃ W ZAKRESIE OCHRONY ŚRODOWISKA
Authors: Baluk Mateusz , Trzebiatowska Patrycja , Pieczyńska Aleksandra
Published: January 2025

Current challenges related to climate change, environmental degradation, and the increasing energy demand impose an urgent need for society to seek innovative solutions in environmental protection. In response to these issues, scientists have been developing areas related to novel functional nanomaterials for years. Among these materials, particular attention is drawn to metal-organic frameworks (MOFs), a new type of porous coordination polymers built from metal centers and organic ligands. The exceptional properties of MOFs come from their porous structure exhibiting high surface area, low density, large pore volume, also recyclability and the ability to regulate pore size and activity by selecting appropriate building blocks. MOFs can be synthesized by various routes and the most popular methods are the following: solvo-(hydro)thermal, mechanochemical, electrochemical, sonochemical or microwave-assisted synthesis. The type of synthesis influences the MOFs properties such as crystal size, specific surface area or possibility of scalable. Furthermore, MOFs activity in sorption or catalysis can be enhanced by post- synthetic modification (PSM), which enables the introduction of new functional groups or particles on/into MOF. Thanks to these properties and tunability, MOFs are finding increasingly broad applications in various processes that can serve different functions such as catalysts, photocatalysts, or sorbents. Due to the possibility of control of pore structure, their adsorption properties, and the nature of active sites, lately, MOFs and MOF-based materials have been investigated in gas adsorption and separation, hydrogen storage, CO2 capture, chemical sensing, electrochemical water splitting, biomass conversion, polymerization and drug delivery. This article will provide general information about the structure and key properties of MOFs, as well as methods of their synthesis and possibilities for modification. However, the focus will primarily be on indicating the various applications of MOFs in environmental applications (Figure 1). The use of MOFs in processes for removing organic and inorganic pollutants from water, air purification, gas separation, pollutant detection, and fuel generation and storage will be discussed. Additionally, the potential uses of MOFs as catalysts in transesterification processes, CO2 fixation, depolymerization, or biomass conversion will be highlighted.
KOMPLEKSOWY PRZEGLĄD METOD PREPARATYKI, WŁAŚCIWOŚCI I ZASTOSOWAŃ FOTOKATALITYCZNYCH RÓŻNYCH STRUKTUR PEROWSKITOWYCH
Authors: Miodyńska Magdalena , Cavdar Onur , Panciejko Anna
Published: January 2025

Perovskite materials for photocatalytic environmental and energy conversion applications have drawn excessive attention over recent years owing to their unique photoelectric and catalytic properties. As harvesting solar energy within the bounds of possibility is one of the main aims of photocatalysis, many research groups have devoted their efforts to developing perovskite-based photocatalytic materials from perovskite oxide to metal halide and double halide-based perovskite materials with various synthesis strategies. Particularly, halide and double halide-based perovskites are intriguing thanks to their tunable band gap and band structure depending on the type of halide. Apart from the obstacles related to charge separation and transport processes; instability under water, oxygen, and high temperature hindering their practical photocatalytic application are remaining challenges. Toxicity emerging from Pb2+ or Sn2+ release due to chemical instability is another concern to be tackled. Thus far, replacing Pb2+ or Sn2+ with Bi3+ is one of the current scopes in the perovskite photocatalysis area while ensuring chemical stability in halide-based perovskites and thus reducing toxicity. Despite all those challenges, the popularity of perovskite photocatalysis is growing amid the favorable light induced chemical reactions via a plentiful range of promising cost-effective manufacturing methods of perovskites. In this review, the principles and photocatalytic applications of the perovskite oxides, metal halide-based perovskites, and double halide-based are comprehensively discussed
SYNERGIZM KOMPLEKSÓW METALOORGANICZNYCH Z PÓŁPRZEWODNIKAMI DO FOTOKATALITYCZNEGO GENEROWANIA WODORU
Authors: Grabowska-Musiał Ewelina
Published: January 2025

Currently, considerable attention is paid to durable, stable and energy-saving systems for photocatalytic water decomposition. Traditional photocatalytic systems are mainly based on semiconductor materials surface-modified with noble metals or inorganic cocatalysts. Recently, significant attention has been paid to hybrid systems in which semiconductor materials are integrated with metal complexes, which seem to be an effective strategy for constructing efficient photocatalytic systems for water decomposition. This review focuses on examining the possibility of obtaining photoactive materials by integrating semiconductors with compounds of various metal ions: platinum, nickel and cobalt. The aim of such integration is to increase the efficiency of hydrogen production from water and obtain the so-called "green energy".
CZĄSTKI TYPU JANUS - OTRZYMYWANIE, WŁAŚCIWOŚCI I ZASTOSOWANIE
Authors: Gołąbiewska Anna , Głowienke Hanna , Sowik Jakub , Malankowska Anna
Published: January 2025

Janus particles are a special class of materials whose uniqueness is based primarily on the lack of central symmetry of the particles, which causes their surfaces to have at least two different physical or chemical properties. Due to their asymmetric structure, Janus-type nanoparticles are used in the fields of chemistry, physics, engineering, and medicine. The work presents three groups of Janus particles: semiconductor-semiconductor, semiconductor-metal and metal-metal, and their methods of preparation and their applications.
OLEJKI ETERYCZNE OTRZYMYWANE Z ROŚLIN Z RODZAJU MELALEUCA: SKŁAD CHEMICZNY I ZASTOSOWANIE
Authors: Gajos Adrianna , Białoń Marietta , Wieczorek Piotr
Published: January 2025

The Melaleuca plant genus is included in the myrtle family and is found from the Indochina Peninsula to Tasmania. The greatest diversity of plants in this family is found mainly in Australia. Essential oils extracted from plants of the Melaleuca genus are a mixture of valuable chemicals that exhibit a broad spectrum of biological properties. Studying the chemical composition of these oils can provide information on their active ingredients, which has applications in the pharmaceutical and cosmetic industries, as well as in aromatherapy. The essence of the study was to conduct an analysis to determine the chemical composition, learn about the main volatile compounds, as well as their percentage content in essential oils extracted from different varieties, namely: Melaleuca alternifolia (TTO), Melaleuca viridiflora (niaouli oil) and Melaleuca cajuputi (cayeput oil). Methods of analysis included gas chromatography coupled with mass spectrometry (GC-MS) to identify and determine the chemical components present in the samples. Two different chromatographic columns were used in the study - a non-polar column and a polar column. The results of the analysis indicated the presence of a variety of chemical components in essential oils of the Melaleuca genus. The composition of the chemical compounds present varied depending on the column used for analysis and the type of plant from which the oil was extracted. The main components of niauli and cayeput oils are: 1,8-cineole (eucalyptol), α-terpineol and α-pinene. TTO, on the other hand, contains terpinene-4-ol, p-cymene and γ-terpinene. These compounds exhibit antibacterial, anti-inflammatory activity
TEORETYCZNE BADANIA WŁAŚCIWOŚCI KONFORMACYJNYCH KANNABIDIOLU I TETRAHYDROKANNABINOLU
Authors: Rzepiela Kacper , Buczek Aneta
Published: January 2025

The conformational properties of cannabidiol and tetrahydrocannabinol are discussed on the basis of DFT calculations. For all conformers of CBD and THC the intramolecular interactions stabilizing each structure in the gas phase were determined. Additionally, dissociation energies of O-H bonds and selected C-H bonds were calculated to characterize the anti-radical properties of studied compounds. The lowest energy conformation of CBD, stabilized by O-H···π and C- H···O hydrogen bonds, is consistent with the crystallographic structure of this compound and have comparable hydrogen bond parameter
Analyzing Social Media Activities of Startups Incubated in the Business Incubators of North East India
Authors: HUSSAIN JAMAL , BARMAN HIMADRI
Published: January 2025

Startups are slowly becoming a lead player in fostering economic prosperity of a nation. Despite its prominence in socio-economic systems, it is confronted with numerous challenges like lack of funds, expertise, mentoring and many more making them vulnerable and putting their survival at risk. Literature provides enough evidence that incorporation of social media strategy in the overall business strategy is beneficial for multinational businesses. However, limited studies have been found that deals with social media in the context of startups especially that are incubated in Business Incubators (BIs). A study has been carried out to address this gap by exploring the use of social media by 65 startups that are incubated in four BIs of Assam, the economically most developed state of north-east India. A total of 2795 social media posts have been identified from the verified profiles maintained by the startups on four popular social networking sites - Facebook, Instagram, Twitter and LinkedIn. Data were collected on different social media metrics for a period of 3 months (91 days) and were analyzed that led to some interesting insights. This study has put up recommendations based on the analysis that may be implemented by the startups in formulating their social media strategy.
Supply Chain Risk Factors, Technological Capabilities, and Firm Performance of Small to Medium Enterprises (SMEs)
Authors: Kanyepe James , Musasa Tinashe , Wilbert Manyanga
Published: January 2025

This study examines the effect of supply chain risk factors on the performance of SMEs in the manufacturing sector of Harare and Zimbabwe. This study also explores the moderating role of technological capabilities in this relationship. A cross-sectional survey of 530 SME owners and managers was conducted via a structured questionnaire. Structural equation modeling (SEM) and moderated regression analysis were used to test the research hypotheses. The study revealed that financial constraints, the availability of skilled labor, information security, and supplier reliability positively influence both financial and operational performance. The results also revealed that technological capability moderates the effects of supply chain risk factors on firm performance. This study recommends that SMEs adopt artificial intelligence, machine learning, and data analytics to manage risk effectively. The key contribution of this study lies in its thorough analysis of diverse risk factors, identification of their positive influence on both financial and operational performance, and novel insight into the moderating role of technological capabilities.
Targeted Brain Computer Interface Utilisation by Employing Endogenous EEG Frameworks
Authors: Srivinay  , Chandrasekhara Swetha Parvatha Reddy , Kulkarni Amogh Pramod , Bagalkot Sneha S
Published: January 2025

Brain-computer interfaces (BCI) establish a direct communication link between the brain and computers or other external devices. These interfaces enhance human capabilities by either supplementing or replacing peripheral functions, with potential applications in fields like rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant global research efforts have led to standardized platforms that address the challenges of complex, non-linear brain dynamics, feature extraction, and classification. However, time-varying psycho-neurophysiological fluctuations and their impact on brain signals present additional challenges in translating BCI technology from controlled laboratory settings to everyday use. This review provides an overview of recent advancements in the BCI field and outlines key challenges. In this paper, we propose a conceptual framework for personalized BCI applications, aimed at improving the user experience by tailoring services to individual needs and preferences based on endogenous electroencephalography (EEG) paradigms, including motor imagery (MI), speech imagery (SI), and visual imagery. The framework comprises two core components: user identification and intention classification, which allow for personalized services by identifying users and recognizing their intended actions through EEG signals. We validate the framework’s feasibility with a private EEG dataset from eight subjects, utilizing the ShallowConvNet architecture to decode EEG features. Experimental results show that user identification achieved an average classification accuracy of 0.996, while intention classification reached 0.55 accuracy across all paradigms, with MI showing the best performance. These results suggest that EEG signals can effectively support personalized BCI applications, offering strong user identification and reliable intention decoding, particularly for MI and SI.
Deep Learning-Based Quantitative Assessment of Multimodal Features using Lenet Model
Authors: T Devi , Aggarwal Ritu , R Swathiramya , N Padmashri , M J D Ebinezer , S A Suje
Published: January 2025

Deep learning is used by many applications that are currently the latest technology in evert aspect. Ischemic sensation is a prompt emergency that has necessities to diagnose and treatment it by various deep learning models. For properly detect the stoke must be identifies their feasibility and their risk assessment to make it more early and efficient treatment. Essentially it develops automated methods for identifying and segmented stroke lesions. The MRI images give the good outcomes for early prediction of disease though the various machine learning and deep learning techniques. With the help of MRI images, it provides no ionizing radiation that is used in the imaging method. It develops automated methods which develop and identify the segmented stroke lesions. The various deep learning methods such as the accuracy as in terms of outcome obtained for the brain stroke prediction in the field of IOT and deep learning that improved the performance. In this research the image datasets samples are used to test model by the feature engineering model has been proposed to deploy the MRI images using preprocessing algorithm. The various machine learning algorithms such Dense121, ResNet121, Exception, VGG-16, LeNet etc. These features are trained and validated by pre-trained convolutional neural networks (CNN). The best classification result has been selected by deploying IMV. The proposed work achieved and computed accuracy as in terms such as for Le_Net is 99.4 which is deep learning model.
Trusted Mechanism for Malware Detection using Blockchain with Minimal Overhead of Data Integrity for IIoT
Authors: N Padmashri , R Swathiramya , Ravichandran Sathish Kumar , T R Lekhaa
Published: January 2025

A trusted mechanism for detecting malware in Industrial Internet of Things (IIoT) using blockchain technology is proposed. The proposed mechanism leverages the immutability and decentralization features of blockchain to ensure the integrity of the malware detection process, while minimizing the overhead associated with data integrity. The mechanism involves the use of a consensus algorithm, Proof of Authority (PoA) to validate malware detection results and a smart contract to enforce the consensus rules. Experimental results show that the proposed approach can efficiently detect malware in IIoT environments with minimal impact on system performance. The proposed architecture is thoroughly validated using MATLAB and a variety of security criteria, including attack strength, message alteration, and false validation probability. Based on the obtained results, the suggested method is effective in improving the security of IIoT networks by detecting malware attacks within the network. The proposed mechanism provides a promising solution for enhancing the security of IIoT systems, which are becoming increasingly vulnerable to cyber-attacks.
Data Visualisation Models for Analytics Use Artificial Intelligence to Predict Diabetes in Women
Authors: Almngoshi Hussein Z , C Mithra , Kanaka Ratnam Abburu Srirama , Shanmugam Subhashini , V Saravanan , Marapelli Bhaskar
Published: January 2025

Identifying and classifying diabetes problems among women can be achieved using several Machine Learning (ML) algorithms. This paper additionally includes a summary of the evaluation of the performance of these MLs with algorithms on many different classification metrics. The AUC-ROC score is the best for Extreme Gradient Boost (XGB) with 85%, followed by SVM and Decision Trees (DT). Logistic Regression (LR) is showing low performance. However, the DT and XGB show promising performance against all the classification metrics. However, the SVM shows a lower support value; hence, it cannot be claimed to be a precious classifier. A study reveals that women are four times more susceptible to diabetic conditions than men. But the healthcare systems do not give special attention to diabetic conditions in women. This study proposes to predict the probability of diabetes in females based on numerous medical conditions they may have. The ML accurately predicts diabetic complications based on biological conditions such as blood glucose levels, age, Body Mass Index (BMI), numerous pregnant women, and other factors.
An Innovative Artificial Intelligence Based Decision Making System for Public Health Crisis Virtual Reality Rehabilitation
Authors: Ghanimi Hayder M A , Ayasrah Firas Tayseer , Jadala Vijaya Chandra , T C Manjunath , K Balasaranya , B Srinivasarao
Published: January 2025

The COVID-19 disease caused by the SARS-CoV-2 virus was declared by the World Health Organization (WHO) as a spreadable viral disease. During the COVID pandemic, there was difficulty in notifying the Decision-Making System (DMS) about the rapid and precise triage of patients admitted to the emergency wards. As a method to achieve the aim and develop digital healthcare revolutions in data and analytics, digital healthcare information was established. Artificial Intelligence (AI) is a robust automation tool for sustainability in the context of the COVID-19 health crisis on big datasets. Besides, the gap between AI investment and commercial real-time application, which are the initial digital technology development curves, has been identified. It was discovered that AI’s new applications are grounded in Digital Transformation Mapping (DTM) for the DMS of Health Crises. The fast inventions in AI and Machine Learning (ML) have implications for amazingly preventive and clinical healthcare, and for the association, ML was developed as a predictable attention. Billions of smartphones, massive online datasets, linked wireless wearable devices, comparatively cost-effective computing resources and improved ML and Nural Language Processing (NLP) are leveraged by these rapid responses, with the trained dataset of 65% and evaluated in the other 35%, the renowned ML models for structured data like Support Vector Machine (SVM), Multinomial Naive Bayes (MNB), Logistic Regressive Tree (LRT), Decision Tree (DT), Stochastic Gradient Booster (SGB), and Random Forest (RF) are used for simulating new unidentified data. AI-DTM challenges DMS of Health Crises (COVID-19) and the drawbacks of critically contributing risk factors to healthcare diseases. Meanwhile, a comprehensive collection of healthcare datasets over what is spreadable would be required to save human lives, train AI, and limit cost-effective health risks.
УПРАВЛІННЯ СТАЛИМ РОЗВИТКОМ ПІДПРИЄМСТВА НА ОСНОВІ ESG-СТАНДАРТІВ
Authors: ХУДОЛЕЙ Вероніка Юріївна , БІРЮКОВ Єгор Ігорович
Published: January 2025

Досліджуються проблеми імплементації теорії сталого розвитку в діяльність підприємства та формування сталого підприємництва. Обґрунтовано, що приватний сектор є найважливішим провідником в імплементації принципів сталого розвитку в практичну площину, оскільки є основним виробником товарів та послуг, платником податків. Сформульовано концепт управління сталим розвитком підприємства на основі ESG-стандартів, який містить теоретичну, інтеграційну та інструментальну складові. Теоретична складова полягає в теоретичній концепції сталого розвитку та її взаємопов’язаності з теорією корпоративної соціальної відповідальності та стейкґолдерським підходом до управління. Інтеграційна складова подана ESG-стандартами, які, на наш погляд, включають ESG-Goals, ESG-Reporting, ESG-Policy. Інструментальна складова концепту містить практичні інструменти реалізації теорії сталого розвитку в систему корпоративного управління, а саме: принципи, методи та процеси. Розкрито механізм інтеграції ESG-Policy в окремі функціональні напрями корпоративного управління. Окреслено принципи, основну систему методів управління сталим розвитком підприємства та сфери їх застосування, структурно-логічну схему процесу управління сталим розвитком підприємства.
Detection of crack in railhead by using eddy current array probe
Authors: Abdelmalik Bendaikha , Abdelhak Abdou , Anouaressadate Aouf , Tarik Bouchala , Bachir Abdelhadi , Amor Guettafi
Published: January 2025

Passenger and rail personnel safety is paramount. Rail defects can lead to derailments, collisions, and serious accidents if not detected and addressed in time. A reliable and efficient rail network requires regular and effective infrastructure maintenance. Early defect detection allows for planning and carrying out necessary repairs before problems escalate. Maintenance and repair costs for railway tracks can be significantly reduced through continuous monitoring and prompt intervention when defects are identified. Early defect detection helps extend the lifespan of rails and minimize disruptions to rail traffic, thus improving the overall reliability and availability of the network. Traditional inspection methods, such as visual or ultrasonic checks, have limitations in detecting and characterizing rail defects. Eddy current imaging offers an innovative solution for non-destructive and more comprehensive rail inspection. This technique allows visualizing the rail surface and subsurface in detail, revealing defects that might be difficult to detect using other methods. Imaging provides richer data, enabling in-depth analysis of the size, shape, and location of defects, facilitating accurate assessment of their criticality. Early defect detection through eddy current imaging contributes to informed decision-making in maintenance planning, optimizing interventions and reducing safety risks. This innovative technology is particularly beneficial for high-traffic rail networks, where continuous monitoring and rapid defect detection are essential. In summary, eddy current imaging represents a significant advancement in rail defect detection and characterization, contributing to improved safety, reliability, and efficiency of the rail network.In this paper, a railway inspection system is developed based on the use of multiple sensors for detecting surface defects on the rails. They emphasize the importance of integrating different types of sensors, such as vision sensors, laser sensors, ultrasonic sensors, etc., to achieve a more comprehensive and precise assessment of the rail condition.
Study of soil salinization in agricultural areas within the irrigated perimeters of the Ouargla Region, Southeastern Algeria
Authors: Selmane Tahar , Lachehab Senna , Boutelli Mohammed Hicham , Zeddouri Aziez
Published: January 2025

The use of groundwater irrigation is essential for most crops in arid regions, where evaporation is high and rainfall is scarce and irregular. However, this practice can have long-term detrimental effects on water quality and promote the development of processes such as sodification, salinization, or alkalization of soils. This work was conducted in representative irrigated agricultural perimeters in the Ouargla region using groundwater. The objective of this study is to assess the impact of using this water for irrigation. In this context, a detailed diagnosis of the current situation of these perimeters was carried out through a sampling campaign and analysis of water and soil. The physical and soil characterization showed that the soil in the studied perimeters is sandy, indicating a filtering and draining soil with high permeability but low retention capacity. The soil is also low in organic matter. Chemical characterization of the soil indicates that the pH values for different samples are close to those of the irrigation water. Electrical conductivity (EC) ranges from 0.24 to 2.85 dS/m. Through this study, a salt transfer process between irrigation water and soil was observed. The qualitative study of water used for irrigation purposes shows that these resources have very excessive mineralization, expressed by electrical conductivity ranging from 4140 µS/m to 6520 µS/m. This conductivity poses a significant risk of alkalization.
Simulation of smart home elements using Arduino Uno
Authors: Hachani Soufiane , Benelmir Okba
Published: January 2025

This paper focuses on simulating different components of a smart home system using Arduino Uno, with an emphasis on developing and implementing automated control systems within residential environments. With the rapid technological advancements worldwide, the concept of a smart home has become an integral part of daily life, incorporating advanced technologies to enhance comfort, safety, and energy efficiency. The article presents a practical approach to designing a smart home using simple and effective tools such as Arduino Uno and simulation software. This paper introduces the concept of a smart home and its benefits, including enhanced security and energy efficiency. The study then highlights the design process using Arduino Uno as a central controller, and explains how to integrate sensors and actuators to automate various functions such as outdoor lighting, solar energy management, temperature regulation, and water tank filling.
The article also discusses the importance of simulating system behavior before actual implementation, which helps in detecting errors and improving performance. The study concludes by emphasizing the practical advantages of using simulation tools in smart home projects, noting how these tools help in testing ideas before implementation, which reduces costs and improves efficiency.
The importance of parameter configuration in ECG-based biometric recognition models
Authors: Assia Toumi , Tarek Toumi , Réda Adjoudj , Ibtissem Louchene
Published: January 2025

This study examines the efficacy of an ECG-based biometric recognition model, concentrating specifically on the influence of iteration configurations and the quantity of nodes within the neural network. Through a series of experiments, we evaluate the false rejection rate (FRR) and false acceptance rate (FAR) in order to assess the model's efficacy.The results indicate that augmenting the number of nodes in the neural network markedly reduces the false rejection rate, decreasing from 0.5 (with 5 nodes) to 0.15 (with 15 nodes), hence demonstrating an improved capacity of the model to differentiate between individual ECG signals. On the other hand, the number of iterations, assessed from 100 to 800, had negligible impact on performance, with the FRR remaining stable and exhibiting just a tiny reduction as iterations increased. These findings underline the relevance of parameter setting in ECG-based biometric recognition models. While an enhanced number of nodes proved effective in decreasing false rejections, the impact of iteration count in model optimization needs further exploration. Future research directions should investigate the possibility for parameter modifications to maximize the performance and reliability of ECG-based biometric systems.
Pengaruh Earning Per Share (EPS), Price To Earning Ratio (PER), Dan Price To Book Value (PBV) terhadap Harga Saham Perusahaan Perbankan yang Terdaftar di Bei Periode 2018-2022
Authors: Reka Widiana  , Yoyok Prasetyo  , Nani Ernawati
Published: January 2025

This study aims to analyze the effect of Earning Per Share (EPS), Price to Earning Ratio (PER), and Price to Book Value (PBV) on the share price of banking companies listed on the Indonesia Stock Exchange (IDX) during the period 2018 to 2022. The approach used in this research is quantitative and associative approach. the population used is 47 banking companies listed on the Indonesia Stock Exchange (IDX) for the period 2018-2022.  With the sampling technique using purposive sampling technique as many as 28 banking companies. The results showed that the variables Earning Per Share (EPS), Price to Earning Ratio (PER), and Price to Book Value (PBV) simultaneously influenced the share price of banking companies listed on the IDX for the 2018-2022 period.
Pengaruh Citra Merek, Kualitas Produk, dan Celebrity Endorser terhadap Keputusan Pembelian Produk Erigo di Kota Medan
Authors: Dieri Apriana Purba  , Anggiat Parlindungan  , Suriyadi Suriyadi  , Rismawati Rismawati  , Nursiah Fitri
Published: January 2025

Currently, people in buying fashion products prioritise ongoing fashion trends and generally like simple and casual fashion styles. In addition, in shopping, people prefer to buy local brand products rather than global because of the movement to love domestic products and local brand products are considered capable of rivalling the quality of international brands, this statement is a phenomenon in this study. One of these local fashion brands is Erigo. Erigo is widely known by the public and has even become the first rank of people's favourite local fashion brand. In Erigo products, there are several factors that influence consumers in making purchasing decisions, such as price, promotion, customer review, brand image, product quality, and celebrity endorsers. However, this study only examines the effect of brand image, product quality, and celebrity endorsers on purchasing decisions for Erigo fashion products in Medan City. This study uses quantitative research methods with descriptive research types which include validity tests, reliability tests, classical assumption tests, hypothesis tests (t tests, F tests, and coefficient of determination (R2) analysis tests). The analysis technique used is multiple linear regression analysis using the SPSS version 26 data processing programme with 100 respondents. The data collection technique used is the distribution of questionnaires via google form and literature study. Based on the research results, that brand image, product quality, and celebrity endorsers simultaneously and partially have a positive and significant effect on purchasing decisions. The determination test results show that the brand image, product quality, and celebrity endorser variables are able to explain 60.2% of the influence that occurs on the purchasing decision variable, while the remaining 39.2% is explained by other variables not examined in this study. In this study, the variable that has the most influence on purchasing decisions is celebrity endorser with a regression coefficient value of 0.308.