bluuebunny/crossref_metadata_2025 huggingface dataset:
Luto, o lugar mais visitado do mundo.
Authors: BASTOS IGOR DE SOUZA
Published: September 2024

A presente obra tem por objetivo investigar e apresentar o papel do capelão no apoio espiritual da pessoa enlutada. No contexto da criação repleta de vida e vigor está inserido o ser humano – um ser extremamente vulnerável e, principalmente, um ser finito na sua existência temporal. Pensar nessa finitude leva a refletir e, ao mesmo tempo, buscar a compreensão dos sentimentos e das emoções que são intrínsecos desse processo: morte e luto, perda, fragilidade, dor, consolo. Tais aspectos são extremamente complexos e, difíceis de serem observados sob a perspectiva racional/emocional e da fé, uma vez que essas condições são capazes de provocar desorganização e desajuste na vida da pessoa enlutada, pois o que está em pauta é a perda de um ente querido, sendo essa perda sem retorno. Quanto maior a intensidade e profundidade do vínculo que se faz em vida, proporcionalmente maior e mais intenso também é a dor pela perda que se estabelece. Assim, o luto é visto como a experiências mais marcantes na vida das pessoas e envolve processos comportamentais encobertos ou publicamente observáveis. Para abordar o assunto de forma didática, necessário se faz primeiramente a definição dos conceitos de luto, vínculo/apego e perda, para depois serem propostas alternativas de cuidados espirituais para os que padecem. Este trabalho foi desenvolvido com pesquisas exploratórias embasadas por fontes bibliográficas e constituídas através do desenvolvimento de ideias para a contextualização do tema a ser abordado. Para investigação do tema proposto, foram realizadas pesquisas exploratórias utilizando referências bibliográficas.
Plotinus’ νοητή ουσία means substance paths to the Absolute
Authors: Warchał Robert
Published: September 2024

The main issue of this paper is the role of νοῦς, or mind, as a condition for νοητής ουσίας. The activity of self-conscious self-knowledge within the framework of the noetic view of the Absolute is the ultimate and most important category for the author. Plotinus transcends the traditional dualism of being and non-being by showing that mind and soul are integral components of immaterial reality. In doing so, he makes it clear that human self-knowledge has an existential-subjective quality, based on the capacity for spiritual intuition. Discovering and developing this truth leads to transcendence, which is the criterion for transforming an entity burdened by externality into a supra-gignified entity, one that is free from the limitations of time and space. The sensual world, represented by the κόσμος αισθητός, can be an obstacle to learning about one's own nature and realizing the path toward liberation from the yoke of the animal self. Of course, being, understood in a spiritual context, has ontological priority here. However, an entity that is limited by external conditions - can bring itself all the way up to intellectual life through knowledge of itself. It manifests itself in the ability of spiritual intuition and thus salvific metamorphosis toward the timeless and supra-ontic Absolute.  For Plotinus, this spiritual process of development represents an important truth about man. On the noetic view of the One, the identity of the self implies knowledge of the self in God, which is the central mystery of transformation and return to the supernatural source.
Artificial intelligence, truth and wisdom: A Franciscan perspective
Authors: Carbajo-Núñez OFM Martín
Published: September 2024

This article delves into how to live in truth and attain wisdom in the age of Artificial Intelligence (AI), using the Franciscan Tradition as a guide and reference. While AI can help expand our knowledge, it also blurs the line between truth and falsehood (1st part). The second part, drawing on Socrates' reflections on writing, explores the evolving concept of wisdom in the context of AI. The third part examines how the Franciscan Tradition has approached truth and wisdom. It is concluded that the Franciscan holistic and relational perspective can guide the development of AI towards creating a more humane and fraternal world.
Lista actualizada de mamíferos de Entre Ríos, Argentina
Authors: Muzzachiodi Norberto Nacional
Published: September 2024

Se presenta una lista actualizada comentada de los mamíferos de Entre Ríos, incluyendo los recientes cambios taxonómicos y agregando nuevos registros. La recopilación de datos se basó en la revisión de la literatura, el material depositado en colecciones científicas, tesis, datos en línea (GBIF, Inaturalist, EcoRegistros y la Red Argentina de Fauna Atropellada), páginas de Áreas Naturales Protegidas, Proyectos de Investigación y ONG, junto a datos inéditos del autor. Cuatro ecorregiones convergen en la provincia deEntre Ríos donde se determinaron 64 especies nativas, que corresponden a 7 Órdenes y 17 Familias, de las cuales 14 están casi amenazadas y tres con datos insuficientes. Por otro lado 10 especies presentes en la provincia son exóticas. La nueva lista destaca la disminución de especímenes de museos y paulatino aumento de los registros de campo y una legislación desactualizada. Siete especies de mamíferos nativos enfrentan algún grado de amenaza. Cuatro son Vulnerables: Myrmecophaga tridactyla, Chrysocyon brachyurus,Leopardus fasciatus, Blastocerus dichotomus, y tres están En Peligro: Bibimys torresi, Ctenomys pearsoni, Ctenomys rionegrensis. Este trabajo contribuye a conocer las especies y su estado de conservación como referencia para estudios de impacto ambiental y proporcionar información para diseñar nuevas estrategias para la gestión y conservación de los mamíferos nativos.
Short term load forecasting analysis using machine learning method: An SVM based study
Authors: Bhagaram Prajapat  , Vikas Kumar Yadav
Published: September 2024

Short-Term Load Forecasting (STLF) is crucial for effective energy management, enabling utilities to optimize electricity generation, distribution, and pricing strategies. This study explores the application of three machine learning models—Linear Regression (LR), Artificial Neural Networks (ANN), and Support Vector Machines (SVM)—to predict short-term electrical load demand. Each model was trained using historical load data enriched with temporal features to capture daily, seasonal, and other variations in electricity consumption. The SVM model demonstrated strong predictive capability, achieving a Mean Absolute Error (MAE) of 1887.41 MW, Mean Squared Error (MSE) of 6942.36 GW, Root Mean Squared Error (RMSE) of 2634.83 MW, and an R2 score of 91.95%. In comparison, the ANN model showed slightly higher errors, while the LR model had the highest error rates, indicating its limitations in capturing non-linear relationships. The results suggest that SVM and ANN models are more effective than LR for STLF due to their ability to handle non-linear dependencies and high-dimensional data. This study highlights the potential of machine learning techniques in enhancing the accuracy and reliability of load forecasting, ultimately supporting better decision-making in energy management.
Uncovering patient dissatisfaction with Healthcare Services at a tertiary hospital in Uganda: Patient perspective in a descriptive cross-sectional study
Authors: Godfrey Mugisa  , Josephine Nalwebuga  , Christopher Edward Masaba
Published: September 2024

Introduction: Patient satisfaction is a widely recognized standard for assessing the effectiveness of healthcare services in hospitals. This study aimed to discover factors associated with patient dissatisfaction with healthcare services offered at Masaka Regional Referral Hospital, Masaka District-Uganda. Methods: A descriptive cross-sectional study that employed quantitative data collection methods was conducted between February and March 2024. Using Systematic random sampling, 384 study participants were included. Data was collected using an interviewer-administered questionnaire analyzed and presented using Microsoft Excel 2019 Version. Results: Most respondents 120 (31.25%) were aged between 31-40 years, 56.77% were females, 67.71 were married or cohabiting with the majority of respondents in low-income class and, 194(50.53%) having a monthly income of less than 100,000Ug. Shs. As (53.13%) were unemployed, 221 (57.55%) were rural residents, and the majority 248(65%) traveled long distances of greater than 10 kilometers to reach the Hospital. The majority of respondents 298(77.61%) disagreed that there was an adequate seating area, the majority of respondents 304(79.17%) waited for long hours before getting services and 204(53.12%) disagreed upon being given adequate time and information regarding their health and 174(45.31%) reported that HCWs were rude to them. Conclusions: Majority of respondents were dissatisfied with the services they had received at the hospital as most of them 208(54.17%) rated the services provided as poor. Therefore, there should be Implementation of targeted Interventions to address socio-demographic disparities, Enhance Patient-Centered Care and Communication Practices, optimization of health institutional practices to improve service delivery, and further research studies are recommended to better understand the gaps in patient satisfaction with healthcare services in Uganda.
Advanced Fingerprint Alteration Detection: A Comparative Analysis of Real and Synthetic Modifications Using InceptionV3 on the SOCOFing Dataset
Authors: Anand Ratnakar
Published: September 2024

This study investigates the efficacy of fingerprint alteration detection using Advanced Deep Learning techniques, specifically focusing on real and synthetically altered fingerprint images. Utilizing the Sokoto Coventry Fingerprint Dataset (SOCOFing), which comprises over 55,000 fingerprint images from 600 African subjects, we employed the Google InceptionV3 model to classify real and altered images under varying degrees of alteration. Our experimental results demonstrate a robust performance of the model, achieving an accuracy of 91.04% for detecting alterations with easy alteration parameter settings, 98.07% for medium alteration parameter settings, and 96.47% for hard alteration parameter settings. The findings highlight the potential of deep learning frameworks like InceptionV3 in enhancing the reliability of biometric systems by effectively distinguishing between real and altered fingerprints.
The impact of international NGOs on refugee support and policy influence: A global analysis
Authors: Yusuf Olalekan Adebayo  , Basit Olakunle Wahab  , Adam Folorunsho Isiaka  , Islam Abiola Salaudeen  , Kaosara Temitope Adebayo  , Rukayat Oyindamola Abdullsalam  , Ibrahim Taiye Bello
Published: September 2024

The global refugee crisis has placed unprecedented demands on humanitarian systems, with international Non-Governmental Organizations (NGOs) playing a crucial role in supporting refugees and influencing related policies. This comprehensive review explores the multifaceted impact of international NGOs on refugee support and policy influence across diverse global contexts. By synthesizing current research, policy documents, and case studies, this paper aims to enhance understanding of NGO contributions to essential services for refugees, their strategies for policy advocacy, and the complex dynamics between NGO activities and government initiatives. The review examines the effectiveness of NGO interventions in key areas such as healthcare, education, and livelihood support, analyzing their methods of policy influence through advocacy, research, and direct engagement with policymakers. It also evaluates refugee perceptions of NGO support compared to government assistance, revealing varied experiences across different contexts and types of aid. Furthermore, the paper investigates the alignment between NGO activities and official government policies on refugee management, highlighting both collaborative successes and areas of tension. The analysis reveals that while NGOs have made significant contributions to refugee welfare and policy development, challenges remain in coordination, sustainability, and adapting to diverse cultural contexts. The paper concludes with a discussion of future research directions and recommendations for enhancing NGO effectiveness in refugee support and policy advocacy, emphasizing the need for improved coordination, cultural sensitivity, and evidence-based practices in addressing the global refugee crisis.
Different ways of understanding communication: From models to a humanistic theory of communication
Authors: Btissam CHINKHIR  , Ahmed IBRAHIMI
Published: September 2024

If the theme of social relations is often impregnated in information and communication sciences, it is generally on the front page of power. How to succeed in human relations is rather a fruitful subject in all political and social intentions. Paradoxically, what unites us divides us is communication: "We can only communicate!", a paraphrase of Watzlawick. It would be equally misleading to believe that there is a situation of uncommunication between two or more people. Is to communicate the desire to exercise an action or an action towards the other person for often interpersonal purposes. For a long time, the term "communication", borrowed from pooling, has been introduced into the vocabulary of institutions for strategic purposes, its use most often stems from an organizational approach of a marketing or even socio-economic nature. Although the authors of communication theories have succeeded each other in competition, each new schema tries to violently beat its predecessors in order to reach the highest degree of generality. The article will begin to circumscribe communication as a complex concept and fashionable value. Secondly, he will visit some research carried out by communication specialists and which has contributed to the development of models leading to what is now called " information and communication theories ". In the course of this archaeological study and in a succinct way, the article will pause on developing axioms and paradigms (context-meaning-construction-noise-feedback) consecutively from the interaction of the three components of a communication situation and in the most stripped-down way (source-message-channel-target).
Green fitness tech: A self-powered device for monitoring treadmill metrics
Authors: Anik Dev  , Ummey Sadia  , Mohammed Saifuddin Munna  , Akramul Haque
Published: September 2024

This research presents the development of a self-powered device designed to monitor treadmill metrics, including speed, distance covered, and calories burned, without requiring external power sources. The purpose of this study is to provide a cost-effective and sustainable alternative to conventional treadmill tracking systems that are often expensive and energy-dependent. The device utilizes an Arduino Nano microcontroller, a DC motor functioning as a generator, an TFT display, and an encoder to sense motor speed and position. Experiments demonstrated the system’s ability to accurately capture and display treadmill data in real-time, powered solely by the kinetic energy generated from treadmill operation. Significant findings highlight the system's capacity to reduce power consumption and operational costs while maintaining performance comparable to more expensive integrated tracking systems. The conclusions drawn from this study suggest that the proposed device not only promotes energy efficiency but also offers a practical, low-cost solution for enhancing the fitness experience, making it an attractive alternative for both personal and commercial treadmill applications.
Blockchain and Cybersecurity: Safeguarding Fintech Transactions in the Digital Age
Authors: Jumai Adedoja Fabuyi  , Chigozie Kingsley Ejeofobiri  , Emmanuel Odeyemi  , Saheed Femi Osholake  , Oyeyemi Muyiwa Ogunremi  , Ismail Oluwatobiloba Sule-Odu
Published: September 2024

The rise of financial technology (fintech) has revolutionized the way financial transactions are conducted, offering greater efficiency, accessibility, and innovation. However, with these advancements come significant cybersecurity challenges, as the increasing digitization of financial services makes them vulnerable to cyber threats. Blockchain technology, known for its decentralized and immutable nature, has emerged as a promising solution to enhance the security of fintech transactions. This review explores the intersection of blockchain and cybersecurity, examining how blockchain technology can be leveraged to safeguard fintech transactions, the challenges associated with its implementation, and future directions for integrating blockchain into the fintech ecosystem.
Einordnung der IKBT und Anwendung mit Blender – eine Methode zur Generierung der analytischen IK serieller Roboter
Authors: Paris Jascha
Published: September 2024

Die Berechnung der Inversen Kinematik (IK) bildet zusammen mit einer
grafischen Repräsentation des kinematischen Systems eine Basis für
die Auslegung, Simulation und Steuerung von Robotern. Die vorteilhafte,
analytische Lösung der IK industrieller Roboter ist in der Literatur
bekannt, dennoch zeigen Zhang und Hannaford mit der IKBT einen
weiteren Ansatz für automatisch generierte, kompakte, analytische Lösungen.
Dieser Beitrag bespricht die IKBT und ordnet sie im Vergleich zu
anderen Ansätzen ein. Anschließend wird gezeigt, wie die IKBT zusammen
mit Blender für die kinematische Analyse im System Engineering
genutzt werden kann.

Review of IKBT and application with Blender – a method for generating
the analytical IK of serial robots
The calculation of the inverse kinematics (IK) together with a graphical
representation of the kinematic system forms a basis for the design,
simulation and control of robots. The advantageous, analytical solution
of the IK of industrial robots is known in literature, but Zhang and Hannaford
show another approach for automatically generated, compact,
analytical solutions with the IKBT. This article discusses the IKBT and
compares it to other approaches. Furthermore, it is shown how the IKBT
can be used together with Blender for kinematic analysis within system
engineering.
VR-gestützte interaktive Ansteuerung einer Montagezelle mit Delta-Endeffektor
Authors: Anilkumar Akhilraj , Nanninga Claas Duarte , Männel Mike , Berger Maik
Published: September 2024

Intuitive kopf- oder handbewegungsbasierte Steuerungen erhöhen die
Flexibilität und Anpassungsfähigkeit teilautomatisierter Vorrichtungen,
indem sie die Mensch-Maschine-Interaktion verbessern. Der vorliegende
Beitrag behandelt die Ansteuerung eines servomotorisch abgetriebenen
kartesischen Portals mit drei Linearachsen und einer Drehachse mittels
Bewegungserfassung. An der vierten Achse des Portals ist ein Delta-
Roboter angeflanscht, der sich auch mit Handbewegungen steuern lässt.
Über eine Tiefenkamera oder einen VR-Controller wird die Handposition
erfasst, während das VR-Headset die Kopfposition verfolgt, welche das
Motion-Control-System in eine Sollposition des Endeffektors umrechnet.

Use of Depth Cameras for Hand Intuitive Control of Linear Axes in
Assembly Cells
Intuitive hand or head motion based controls enhance the flexibility and
adaptability of partially automated assembly processes by improving human-
machine interaction. This paper discusses the control of an assembly
cell with three linear axes and one rotary axis, all driven by servo
motors, using motion tracking. A delta robot is attached to the fourth axis
of the cell. A depth camera or VR controller tracks the hand position, and
VR headset tracks the head position to operate the end effector via a
programmable logic controller (PLC).
2D “TenSens”-Sensor zur simultanen Messung von Kräften und Momenten
Authors: Merker Lukas , Kissinger Thomas , Böhm Valter , Herrmann David , Zentner Lena
Published: September 2024

Vorgestellt wird ein 2D-Kraft-Momentensensor, der mittels eines faseroptischen
Sensors die Bestimmung äußerer Kräfte in einer Ebene sowie
Momente in einer Achse senkrecht zu dieser Ebene ermöglicht. Das
Sensorkonzept kommt durch den multifunktionalen Einsatz eines vorgespannten
faseroptischen Sensors als Messmittel und als tragendes
Strukturelement ohne einen Deformationskörper aus, und bietet damit
Potentiale für den Leichtbau, die Reduzierung des Fertigungsaufwands
sowie der mechanischen Modellkomplexität.

2D “TenSens” sensor for simultaneous force/torque measurement
This paper presents a 2D force/torque sensor, which uses an optical
fiber sensor to determine external forces in a plane and moments in
a normal direction to that plane. The sensor concept does not require
a deformation body due to the multifunctional use of a prestressed
optical fiber sensor acting as both a measuring device and a structural
component, and thus offers potential for lightweighting as well as the
reduction of manufacturing and model complexity.
SPATIAL EVOLUTION OF SMART CITIES FOR SUSTAINABLE TOURISM: A CASE STUDY OF PHUKET PROVINCE, THAILAND
Authors:   Spatial Research Unit, Department of Geography, Faculty of Arts, Silpakorn University, Nakhonpathom, Thailand, KIRIWONGWATTANA Komsan , WAIYASUSRI Katawut ,   Suan Sunandha Rajabhat University, Faculty of Humanities and Social Sciences, Geography and Geo-Informatics Program, Bangkok, Thailand
Published: September 2024

In this research, the objective is to study the Spatial Evolution of Smart Cities for Sustainable Tourism in Phuket Province, Thailand from 2005-2024, using the Geo-informatic Technique as information for decision-making in determining the direction of Smart City. The study results found that land use patterns such as Urban and built-up land, Waterbodies, and Forest land have had an increasing trend over the past 20 years. In 2005, Urban and built-up land was found to cover 132.19 km2 (24.10% of the total area). In 2024, it was found to have greatly increased, covering 165.91 km2 (30.25% of the total area), especially in Thalang District, which is north of Phuket. The area has a wide plain landscape, and beautiful wide beaches such as Bang Tao Beach. There has been a change from agricultural land to housing developments, residential areas, restaurants, hotels, resorts and homestays. The results of this study have been prepared as a spatial database for supporting decision-making in monitoring and planning the development of areas to support the expansion of sustainable tourism in the future to become a smart city.
Forma i funkcija književnog teksta kao distinktivni kriteriji razgraničenja umjetničkog od ostalih oblika izražavanja
Authors: Brajković Luka
Published: September 2024

Premda je sloboda umjetničkog izražavanja ugrađena u mnoge pravne propise njezin je položaj u sudskoj praksi i teoriji još uvijek nedovoljno razvijen i obrađen. Pri tome je, pored malobrojnih publikacija, problem i to što se umjetnost nastoji shvatiti strogo pravnički bez velikog obaziranja na ono što o umjetnosti kažu druge, nepravne discipline. Ovaj rad nastoji pružiti jedan malo drugačiji pogled na problematiku odnosa prava i umjetnosti. U uvodnom se dijelu objašnjavaju osnovni problemi koji prate slobodu umjetničkog izražavanja te se obrazlaže izbor književnosti kao predmeta proučavanja zbog zajedničkog jezičnog medija koji dijeli s pravom. U drugom se poglavlju razrađuje književnoteorijski okvir polazeći od ideje kako je književni tekst struktura sastavljena od formalnih i sadržajnih elemenata koji izgrađuju njegovo značenje. Pored toga, književni tekst ima dvije načelne funkcije, estetsku i društvenu, koje se u tekstu raspoznaju pomoću karakterističnih izraza koji ih prate. U trećem se poglavlju razmatra sudska praksa Europskog suda za ljudska prava u kojoj je bilo riječi o nekim vrstama književnih tekstova, ali na način da se ona promotri kroz prethodno postavljeni teorijski okvir. U zaključku se izlažu tri potencijalne koristi koje pravo može dobiti svojim otvaranjem za spoznaje književne teorije.
Urgensi Memahami Karakteristik Peserta Didik dalam Pembelajaran pada Kurikulum Merdeka
Authors: Ferrary Cindy Helda , Kurniawan Arief , Safitri Riska Yulia , Hikmah Ulfiana Nurul , Krismawati Berlian Miswa , Rahmawati Khasanah , Darmawan Indra
Published: September 2024

Guru perlu memahami karakteristik peserta didik sebagai bahan pertimbangkan mengembangkan kegiatan pembelajaran agar pelaksanaan pembelajaran dapat berpusat dan berpihak pada peserta didik. Penelitian ini bertujuan mendeskripsikan urgensi memahami karakteristik peserta didik dalam pembelajaran pada “kurikulum merdeka” di sekolah dasar. Metode penelitian yang digunakan adalah studi literatur yang dilakukan dengan cara menelaah 15 hasil-hasil penelitian yang relevan dari tahun 2020. Hasil penelitian menunjukkan bahwa memahami karakteristik peserta didik penting dilakukan sebagai bahan pertimbangan guru untuk mengembangkan pembelajaran yang berpusat dan berpihak pada peserta didik. Hal ini agar peserta didik dapat memperoleh pembelajaran bermakna dan mencapai tujuan pendidikan nasional. Guru mendapat keleluasaan dalam mengembangkan pembelajaran yang dapat memfasilitasi keragaman karakteristik setiap peserta didik. Hal tersebut dapat berdampak pada optimalisasi pencapaian tujuan pembelajaran dan kebermaknaan dalam pembelajaran. Oleh karena itu, kesimpulan penelitian ini adalah penting bagi guru untuk memahami karakteristik setiap peserta didik dalam pembelajaran pada “kurikulum merdeka”. Hal tersebut berguna untuk memastikan bahwa strategi pembelajaran efektif dan relevan, sehingga mendukung pengembangan potensi individu secara optimal. Selain itu, pengetahuan ini memungkinkan guru untuk menyesuaikan strategi pembelajaran yang sesuai dengan kebutuhan dan karakteristik peserta didik serta menciptakan lingkungan belajar yang lebih inklusif dan responsif
Automated Evaluation of English Grammar Consistency and Case Coverage Across Commercial Large Language Models
Authors: Nephew Jonai , Rasmussen Lucien , Gallagher Eoin
Published: September 2024

Language generation systems have achieved significant progress in recent years, enabling the production of coherent and contextually relevant text across diverse applications. However, the complexity of English grammar, with its intricate case assignments and syntactic structures, poses ongoing challenges for such systems in terms of generating consistent and accurate grammatical schemas. The evaluation of ChatGPT and Claude provides a novel comparative analysis that assesses their proficiency in maintaining grammatical consistency and syntactic alignment across varied linguistic phenomena. The study employs a methodical approach, utilizing a comprehensive dataset and advanced statistical techniques to quantify the models' performance in key areas such as sentence structure consistency, grammatical case coverage, and error rates. The findings highlight both the strengths and limitations of current language models, offering insights into their capabilities and informing future developments aimed at enhancing their grammatical sophistication. The research concludes with a discussion of the implications for language model development, emphasizing the potential for integrating rule-based constraints and refining model architectures to achieve more advanced linguistic proficiency.
Multi-Fold Dark Matter Effects & Rotation Curve Differences in Galaxies in Clusters, Yet Respect of the Strong Equivalence Principle
Authors: Maes Stephane
Published: September 2024

A recent paper suggests that MOND would better explain the difference in the distribution of rotation curves inside versus at the outer edges of galaxies. It would be due to the External Field Effect (EFE) encounter with MOND for galaxies in a uniform external field due to surrounding systems. ΛCDM, based on General Relativity (GR), respects the (strong) equivalence principle. Accordingly, for ΛCDM, such differences are not directly explainable. As the observed difference is argued to be statistically significant, something still to be confirmed, it could be a convincing argument in favor of MOND.The paper explains how the multi-fold dark matter effects explain qualitatively the observed differences: inner entanglement is more disrupted by the rest of the galaxy content, before creating a halo effect. With this we can argue that MOND is not necessarily the only answer to the observations. In previous papers, we argued that the multi-fold theory at large enough scale recovers GR, and that it is compatible with the equivalence principle. The paper therefore explains that these can be multi-fold gravity results. The multi-fold dark matter effects result from entangled real systems, which are extra contribution to gravity, which results only from virtual particles. There are therefore no inconsistencies: the equivalence principle can be respected while rotation differences may exist. To that effect, we show that while multi-fold gravity follows the (strong) equivalence principle, multi-fold dark matter effects can bring in an EFE effect without any contradiction.
Artificial Intelligence and the New Dynamics of Social Death: A Critical Phenomenological Inquiry
Authors: Gonzalez Jorge
Published: September 2024

This article examines how artificial intelligence (AI) and digital technologies are reshaping social dynamics, leading to new forms of social death. The study analyzes how AI influences social relations, identity, and agency through a critical phenomenological approach, revealing the ethical and philosophical risks these technologies entail. It argues that social death is a crucial lens for understanding AI’s impact on contemporary society, emphasizing the importance of human dignity and the need to rethink agency in an increasingly technologically mediated world.
Syndetic Partitions of the Set of Positive Integers Based on Binary Sequences
Authors: Bindra Anshveer
Published: September 2024

The paper rigorously proves that the set of positive integers can be partitioned into two syndetic sets such that each set intersects every infinite arithmetic progression. This is achieved by describing a binary sequence generation algorithm, from which two sets are derived based on the indices of 1's and 0's. It is demonstrated that both sets are syndetic and that every infinite arithmetic progression intersects both sets.
Improving Accessibility in Quantitative Research: A Guide on Survey Programming and Piloting for Community-Based Researchers
Authors: Amato Anthony Theodore
Published: September 2024

An abstract is not available for this report. A comprehensive overview is found within the text.
Non-intrusive polynomial chaos expansion for topology optimization using polygonal meshes
Authors: Cuellar Nilton , Pereira Anderson , Menezes Ivan , Cunha Jr Americo
Published: September 2024

This paper deals with the applications of stochastic spectral methods for structural topology optimization in the presence of uncertainties. A non-intrusive polynomial chaos expansion is integrated into a topology optimization algorithm to calculate low-order statistical moments of the mechanical-mathematical model response. This procedure, known as robust topology optimization, can optimize the mean of the compliance while simultaneously minimizing its standard deviation. In order to address possible variabilities in the loads applied to the mechanical system of interest, magnitude and direction of the external forces are assumed to be uncertain. In this probabilistic framework, forces are described as a random field or a set of random variables. Representation of the random objects and propagation of load uncertainties through the model are efficiently done through Karhunen-Lòeve and polynomial chaos expansions. We take advantage of using polygonal elements, which have been shown to be effective in suppressing checkerboard patterns and reducing mesh dependency in the solution of topology optimization problems. Accuracy and applicability of the proposed methodology are demonstrated by means of several topology optimization examples. The obtained results, which are in excellent agreement with reference solutions computed via Monte Carlo method, show that load uncertainties play an important role in optimal design of structural systems, so that they must be taken into account to ensure a reliable optimization process.
Bioinspired AI as a Framework for Unifying Human Cell Theories
Authors: Baig Mirza Abdul Aleem
Published: September 2024

The integration of various human cell theories presents a significant challenge in modern biology. Each theory, whether it pertains to gene expression, signal transduction, cellular mechanics, or metabolic pathways, provides crucial insights into the complex functioning of cells. However, synthesizing these diverse theories into a unified framework remains difficult due to the intricate and multifaceted nature of cellular processes. Bioinspired artificial intelligence (Bio-AI) offers powerful tools and methodologies to address this challenge. By drawing inspiration from biological systems, bioinspired AI (Bio-AI) mimics the problem-solving capabilities of natural organisms, providing innovative solutions for complex scientific problems. This paper explores how bioinspired AI (Bio-AI) can be utilized to unify human cell theories, leveraging techniques such as neural networks, agent-based modeling, swarm intelligence, and machine learning. This interdisciplinary approach not only aims to enhance our understanding of cellular biology but also facilitates significant advances in biomedical engineering, and fundamental research. By integrating diverse cellular processes into unified models, bioinspired AI (Bio-AI) holds the potential to transform our understanding of cell biology, facilitating advances in biomedical engineering, and paving the way for innovative treatments and technologies.
Characterizing Benzodiazepine Use in a Large National Study via Wearables and Deep Learning
Authors: Ruan Franklin , Adjei Stephen , Amanna Adaobi , Price George , Heinz Michael V. , Jacobson Nicholas C.
Published: September 2024

Behavior-based pharmacological side effects, including those of benzodiazepines, are often assessed through self-reported surveys, introducing response bias. This study aimed to address this limitation by leveraging deep learning and wearables in a large-scale, naturalistic setting to detect and characterize benzodiazepine psychomotor effects objectively. Using data from the 2005-2006 National Health and Nutrition Survey, 7162 participants wore physical activity monitors for seven days, with 137 reporting benzodiazepine use (55% of prescriptions were verified). We constructed and cross-validated several machine-learning models to predict benzodiazepine use from movement. The top-performing ConvLSTM model achieved a test AUC of 0.71 [95% CI, 0.71-0.71] with a Cohen’s d of 0.78 [95% CI, 0.78-0.78]. Hence, we find a moderate-to-large correspondence between the predicted and known benzodiazepine use activity. The analysis accounted for potential demographic confounders, suggesting the movement differences are specific to benzodiazepine use. Participants on benzodiazepines showed reduced physical activity upon waking and in the late afternoon, deeper sleep, and increased sedentary behavior. The study shows promise in using passively collected movement data to detect and characterize benzodiazepine psychomotor side effects and supports the use of deep-learning passively collected data to create objective metrics for psychotropic medication effects.
Unraveling other-race face perception with GAN-based image reconstruction
Authors: Shoura Moaz
Published: September 2024

The other-race effect (ORE) is the disadvantage of recognizing faces of another race than one’s own. While behaviorally well-documented, the representational basis of ORE remains unclear. This study employs StyleGAN2, a deep learning technique for generating photorealistic images, to uncover face representations and to investigate ORE's representational basis. To this end, we collected pairwise visual similarity ratings with same- and other-race faces across East Asian and White participants exhibiting robust levels of ORE. Leveraging the significant overlap in representational similarity between the GAN’s latent space and perceptual representations in human participants, we designed an image reconstruction approach aiming to reveal internal face representations from behavioral similarity data. This methodology yielded hyper-realistic depictions of face percepts, with reconstruction accuracy well above chance, as well as an accuracy advantage for same-race over other-race reconstructions, which mirrored ORE in both populations. Further, a comparison of reconstructions across participant race revealed a novel age bias, with other-race face reconstructions appearing younger than their same-race counterpart. Thus, our work proposes a new approach to exploiting the utility of GANs in image reconstruction and provides new avenues in the study of ORE.
The potential of single session intervention approaches to enhance the mental health and resilience of older adults, care partners, and healthcare systems
Authors: Bannon Sarah , Rapoport Andy , Applebaum Allison , Schleider Jessica L.
Published: September 2024

Single-session interventions (SSIs) are brief interventions involving single encounters. In this commentary, we outline issues with existing models, how SSIs can address barriers, and research considerations. We encourage the development of SSIs to increase accessibility, scalability, participation, and cost-effectiveness of mental health interventions for older adults and care partners.
Impact of formulated organic fertilizers on soil physical and chemical properties in sandy loam soil of North-Eastern Nigeria
Authors:   Department of Agricultural Technology, College of Agriculture, Science and Technology Gujba, PMB 1104 Damaturu, Yobe State Nigeria., Ismaila M.
Published: September 2024

The excessive and sole use of inorganic fertilizers has led to soil nutrient depletion, acidification and loss of soil organic matter. Decreased organic matter content reduces the soil's ability to hold water and nutrients, which can lead to reduced crop yields. Organic fertilizers provide a slow release of nutrients to soil while at the same time improving soil health and reducing the risk of soil degradation. Hence, there is a need to investigate the impact of formulated organic fertilizers on soil physical and chemical properties in the study area. The study site is in the Teaching and Research Farm, Yobe State College of Agriculture, Science and Technology Gujba, Damaturu, Yobe State. Its geographic coordinates are 11.7461° N, 11.9608°. The study area is approximately twenty hectares while the size of land for the experiment was approximately two hectares. The soil analysis conducted revealed varying levels of nutrients. Nitrogen (N) ranged from 0.11 to 0.20 g/kg-1, indicating medium fertility. Phosphorus (P) levels ranged from 0.17 to 0.19 g/kg-1, indicating signifying low fertility, while potassium (K) varied from 0.46 to 0.89 g/kg-1, indicating high fertility. Copper (Cu) levels ranged from 0.67 to 0.85 g/kg-1, suggesting medium fertility. Zinc (Zn) ranged from 0.55 to 0.38 g/kg-1, indicating medium to low fertility, particularly in deeper soil layers. Iron (Fe) ranged from 0.53 to 0.01 g/kg-1, categorized as medium to low fertility. Manganese (Mn) ranged from 0.11 to 0.04 g/kg-1, showing low fertility levels insufficient for optimal agricultural production. Despite minor improvements post-application of organic fertilizer, overall fertility ratings remained largely unchanged. The study highlights the heterogeneous distribution of nutrients in the study area, emphasizing both strengths and deficiencies crucial for agricultural productivity.
लिखित अभिव्यक्ति शिक्षणको आवश्यकता, मौखिक अभिव्यक्तिसँगको सम्बन्ध तथा कमजोरी निराकरण र शुद्धीकरणका उपायहरु
Authors: पौडेल माधव प्रसाद
Published: September 2024

कुनै पनि भाषिक अभिव्यक्तिका माध्यम मूलतः दुई किसिमका हुन्छन् - मौखिक र लिखित । अन्तर मनका भावनाहरुलाई ध्वन्यात्मक उच्चारणका माध्यमले व्यक्त गर्नुलाई मौखिक अभिव्यक्ति र विभिन्न दृश्यात्मक लिपि सङ्केतका माध्यमले व्यक्त गर्नुलाई लिखित अभिव्यक्ति भनिन्छ । सरल र छोटकरीमा भन्नु पर्दा भाषिक अभिव्यक्तिका यी दुई माध्यमलाई बोलाइ र लेखाइ पनि भनिन्छ । मौखिक र लिखित अभिव्यक्तिमा कतिपय प्रकारगत भिन्नता, सन्दर्भगत भिन्नता, स्वरूपगत भिन्नता र कार्यगत भिन्नता आदि देखिए पनि यी दुई अभिव्यक्ति निरपेक्ष नभई सापेक्ष मानिन्छन् र एकले अर्को अभिव्यक्तिको प्रवर्धन र परिष्कारमा सहयोगी भूमिका खेलेका हुन्छन् । भाषाका उक्त दुबै अभिव्यक्ति कलाहरु उत्तिकै महत्त्वपूर्ण हुँदाहुँदै पनि यस लेखमा मौखिक अभिव्यक्तिलाई नभई लिखित अभिव्यक्ति शिक्षणको परिचय, शिक्षणका आवश्यकता, मौखिक अभिव्यक्तिसँगको सम्बन्ध, लिखित अभिव्यक्तिमा देखा पर्ने विविध कमजोरी र तिनका निराकरणका उपायहरु खोज्ने प्रयास गरिएको छ । यसका साथै भाषाका विविध सिप शिक्षणका दृष्टिले लिखित अभिव्यक्तिको शुद्धीकरणको पनि उत्तिकै महत्त्वपूर्ण भूमिका रहने भएकाले तत् सम्बन्धी थप उपायहरु समेत खोजेर सिफारिस गरी लिखित अभिव्यक्ति शिक्षणलाई फलदायी एवम्उचित गन्तव्यमुखी बनाउने सुझ र समझदारी बढाउने जमर्को समेत गरिएको छ ।
वर्तमान माध्यमिक नेपाली भाषा पाठ्यक्रमका विविध पक्षको पुनरावलोकन
Authors: गिरी तिलकदेव
Published: September 2024

पाठ्यक्रम शिक्षण सिकाइको योजना हो । यसले शिक्षण सिकाइलाई मार्गनिर्देश गर्दछ । भाषा पाठ्यक्रम भाषा सिकाइको योजना हो । यसका प्रमुख स्तम्भहरू पाठ्यक्रमको उद्देश्य विषयवस्तुको क्षेत्र र क्रम शिक्षण प्रक्रिया र मूल्याङ्कन प्रक्रिया हुन् । यसैगरी भाषा पाठ्यक्रमका अग्र भागमा पाठ्यक्रमको शीर्षक र पाठ्यक्रमको परिचय अनि पश्च सूचनाका रुपमा पाठ्यपुस्तक र सन्दर्भ पुस्तक स्तम्भ पनि रहेका हुन्छन् । यसरी भाषा पाठ्यक्रमका चारवटा प्रमुख र चारवटा परिधीय स्तम्भ रहेका हुन्छन् । सबै स्तम्भहरू उद्देश्यबाट निर्देशित हुन्छन् । यस लेखमा वर्तमान माध्यमिक तहको नेपाली भाषा पाठ्यक्रम (२०६४) को समीक्षा पाठ्यक्रमका तत्त्वहरूको आधारमा गरिएको छ । वतर्म ान माध्यमिक तहको नेपाली भाषा पाठ्यक्रमका तत्त्व वा स्तम्भहरूभित्र रहने सूचनाहरू के कति उपयुक्त र पर्याप्त छन् भन्ने कुरालाई पुस्तकालयीय विधि अपनाई वर्णन विश्लेषण गरिएको छ । यस लेखमा मुख्यतः पाठ्क्रमका चारवटा मुख्य स्तम्भ भित्र रहनु पर्ने विशेषतालाई आधार मानेर यी स्तम्भभित्रका सूचना के कसरी व्यवस्थित गरिएको छ भन्ने कुरालाई स्पष्ट गरिएको छ । अन्त्यमा भाषा पाठ्यक्रमका सहयोगी स्तम्भहरूका स्थितिको पनि पुनरावलोकन गरी निष्कर्ष र सुझाब प्रस्तुत गरिएको छ । पाठ्यक्रममा रहेका उद्देश्य र कतिपय पक्षहरू सबै समावेश गर्दा लेखको आयाम ठुलो बनने भएकाले सो कुरालाई समावेश गरिएको छैन ।
Brachial plexus injury: the problems of expectant management!
Authors: Thapa Amit
Published: September 2024

Brachial plexus injury is a devastating injury, affecting primarily young people involved in bike accidents. The management of these often conservatively cared patients has transformed over the last decades with the improvisation in diagnostic modalities, refinement in surgical approaches and availability of newer surgical adjuncts. Patients after surgical treatment, can lead productive life as they become able to use their paralyzed limb. They should no longer be doomed to expectant management, where their recovery is left to chance. However, it is imperative to recognize surgical indications at the earliest and offer appropriate surgical care to achieve the best possible outcome. If in doubt, it is recommended to refer these patients to centers dealing with care of these patients to avoid delays
Can ICT be Driving Force behind the Acceleration of Small and Medium Enterprise Profitability: Evidence from Nepal
Authors: Sigdel Amit , Mahapatra Sushanta , Paudel Udaya Raj , Kunwar Ramesh
Published: September 2024

Background: SMEs are critical to a country's economic development; researchers are increasingly focusing on their adoption and use of information and communication technology. Previous research has revealed that the contribution of ICT to SMEs performance and profitability is not clear or certain.
Objective: This study examines the adoption among SMEs in terms of the advanced stage from technology adoption to post-adoption. The mediating impact of performance on profitability is also being investigated.
Method: The exploratory research design was chosen as the primary study model in order to find reality. To examine the data quantitatively, descriptive and inferential statistics were used. A convenience sampling with a sample size of 201 SMEs were chosen for the study based on practical experience and adequate ICT knowledge.
Result: The study found that ICT usage and profit have a significant link. However, the performance of SMEs does not play a role in moderating the relationship between ICT usage and profitability because our study finds degree of utilization ICT usage doesn’t play any significant role in performance.
Conclusion: ICT is still a new concept in SMEs that deserves to be given more attention. Employees and organizations must use ICT, technology system integration, and finally implementation across all functional areas to increase the profitability of SMEs. This study recommends that government should initiate ICT awareness programs in SMEs, provide subsidies and grants for ICT adaptation and use, education sectors should focus on technology skill manpower, and ICT should be used and integrated across all functional areas of SMEs to increase profit.
Paper Type: Research Paper
Key words: ICT, Small Medium Enterprise, Profitability, Performance
JEL Classification: M41, M15, C88, D91, N95, C38
Entrepreneur’s View on business Challenges in Disentangle Regional Capital City: Evidence from Far Western Nepal
Authors: Bhandari Amit , Devkota Niranjan , Paudel Udaya Raj , Bhandari Udbodh
Published: September 2024

Background: Entrepreneurship plays a vital role in economic development by driving innovation and creating employment opportunities. However, entrepreneurs in Nepal, particularly in Far Western regions like Doti, face significant challenges that may hinder both entrepreneurial growth and the overall economic development of the region.
Objective: This study aims to explore the challenges faced by entrepreneurs in Doti, in starting and sustaining new ventures. It seeks to understand the key obstacles that affect business growth and provide insights for improving the entrepreneurial ecosystem in the region.
Method: A convenient sampling method was used to select 280 entrepreneurs from Doti. Data were collected using a structured questionnaire, designed and administered through KOBO. A pre-test was conducted with 5% of the sample to refine the instrument. The study employed descriptive statistics to analyze the data and identify the major challenges faced by entrepreneurs.
Result: The findings reveal that more than half of the respondents in Doti faced significant entrepreneurial challenges. The most prevalent issues included changes in regional capital, lack of financial resources, insufficient innovation, a limited market size, and political instability. These challenges were found to severely impact the growth and sustainability of businesses in the region.
Conclusion: The study highlights the pressing need for strengthened entrepreneurial policies, increased government support, promotion of technology and innovation, and better management of business resources in Doti. Addressing these challenges is essential to fostering a conducive environment for entrepreneurship and unlocking the economic potential of Far Western Nepal.
Paper Types: Research Paper
Keywords:  Entrepreneurship, business challenges, Economic Development, Far Western Nepal
JEL Classification: L26, O18, R11