bluuebunny/crossref_metadata_2025 huggingface dataset:
Immortality in Veda: An Analysis with Special Reference to the Rigveda
Authors: - Nitul Hazarika
Published: October 2024

Abstract: The Vedas are regarded as one of the earliest instances of written literature and as the epitomes of Indian knowledge and philosophical tenets. The inherent philosophical framework of the Vedas is great facilitator of human insight about seminal issues like Life, Death, Mortality, and Immortality and so on. Vedas are always prescribing a balanced and measured way of life by bridging the gap between life and death. Life and Death are not two extremes; rather they are interrelated and co-existed. In the perspective of transitoriness of human body and the immortality of soul, the Vedas talk about the attainment of Immortality by understanding the truth about the cycle of life and death. Rigveda, in particular, does have significant instances and references about the idea of Immortality-its nature and the means of attaining the same. The present Paper looks into the idea of immortality represented in the Rigveda with a view of extracting the philosophical and pragmatic understanding of the same with the help of a descriptive and analytical approach.
Enhanced Sink Node Method for Protecting Data of Single Owner
Authors: - Akheel Mohammed , - Sameera Khanam Shaik , - Ayesha
Published: October 2024

Cloud computing services offer computing, storage, networking, and software. Users can access data from any place and any time, under the control of a cloud service provider, by using cloud storage services. CSPs face challenges in protecting their data in the cloud. Public key cryptography can provide security, confidentiality, and integrity. The Schmidt-Samoa cryptosystem (SSC) is a public key cryptosystem that is based on integer factorization hardness. When applying ENHANCED SINK NODE in the cloud, the cryptosystem takes more time to encrypt and decrypt data. In this research, we propose an enhanced Schmidt-Samoa (SSC) public key cryptosystem to address this problem. The ENHANCED SINK NODE cryptosystem uses four prime numbers, which greatly increases the difficulty of breaking the cryptosystem compared to SSC. Further testing showed that the time needed to perform data encryption and decryption in ENHANCED SINK NODE is shorter, but the time needed to do cryptanalysis in ENHANCED SINK NODE is longer than in SSC. The ENHANCED SINK NODE cryptosystem is very secure and makes data more private.
The Impact of digital payments on small coffee business in India
Authors: - Nagabhushan P Gaonkar , - Vinod Krishna M. U
Published: October 2024

India's coffee industry has experienced notable growth, fuelled by rising demand for specialty coffee and a thriving start-up culture. However, small coffee businesses continue to face challenges such as fierce competition, limited resources, and reliance on a cash-driven economy. This study examines the impact of digital payments on these small enterprises, focusing on key aspects like convenience, security, speed, data-driven insights, and reduced costs associated with cash handling.
Utilizing a mixed-methods approach, the research integrates both quantitative and qualitative analyses. Primary data is gathered through structured surveys from 200-300 small coffee business owners and customers, complemented by in-depth interviews with 10-15 coffee shop owners. Additionally, secondary data from industry reports and case studies enriches the analysis. Statistical tools, including descriptive and inferential statistics, correlation analysis, and factor analysis, are employed for quantitative data, while thematic analysis interprets qualitative insights.
The study reveals that digital payments significantly improve operational efficiency, enhance customer satisfaction, and boost revenue for small coffee businesses. Challenges such as digital literacy gaps, cyber security concerns, and infrastructural limitations remain. The findings recommend that small coffee businesses can optimize the benefits of digital payments by investing in digital literacy, addressing security issues, and leveraging data insights for informed decision-making.
Evaluating the Impact of Fair Price Shops on Food Security: A Comprehensive Study within the Aspirational District Programme in Hazaribagh, Jharkhand
Authors: - Khushnuma Sheyam , - Ifsha Khurshid
Published: October 2024

Abstract

The Aspirational District Programme, initiated by Prime Minister Narendra Modi in January 2018, aims to promote equitable development across 115 identified districts in India, including 19 in Jharkhand, with Hazaribagh situated in the North Chotanagpur division. This program operates under 49 indicators spread across five key sectors: Health and Nutrition, Education, Agriculture and Water Resources, Financial Inclusion and Skill Development, and Basic Infrastructure. A critical aspect of this initiative is the Health and Nutrition sector, which emphasizes the provision of nutritious food to ensure that no one faces hunger.
Food security is vital in assessing whether individuals have consistent access to food, particularly through the Public Distribution System (PDS). This system includes numerous Fair Price Shops, or ration shops, tasked with delivering essential goods to individuals categorized as Below Poverty Line (BPL), Priority House Holds (PHH), and those under the Antyodaya Anna Yojana (AAY) in Jharkhand, aimed at supporting the most impoverished families with subsidized rates set by the central government.
My research focuses on several Fair Price Shops in Hazaribagh district, employing survey methods to gather primary data. The objective is to gain insights into the actual conditions of these ration shops and to evaluate the extent of benefits received by the local population.
Investigating the Influence of Microplastics on Marine Biodiversity and Human Health
Authors: - ANNABATHUNI VENKATA SAI VISWANADH
Published: October 2024

The main environmental and public health concerns have been the plastic particles that are smaller than 5 millimeters in size. This study paper will therefore investigate how microplastics originate, their prevalence, and the impacts on marine biodiversity and human health. It categorizes microplastics as either primary or secondary in nature, thus explaining their origin from intentional consumer product usage and from the degradation of larger plastic debris. It is estimated that 51 trillion microplastic particles mar the marine ecosystems and endanger organisms as small as plankton and as large as mammals.
This ingestion of microplastics can lead to blockages, deficiencies in nutrients, and toxicological effects in the marine species that the impacts of their bioaccumulation and biomagnifications would increase in the food chain for human health. Evidence says microplastics have been present in seafood and drinking water, and even in human tissues, and the potential for such health problems of inflammation, oxidative stress, or chronic problems long term.
This paper underlines the critical level of scientific research to full understanding of the impacts that microplastics will have on the environment and health. It also underlines strong policy interventions focusing on reducing plastic production and consumption, improving waste management, and enhancing public awareness. Through such synthesis and combined efforts across sectors, we could ease this overall threat through microplastic pollution together to protect marine ecosystems as well as public health for generations to come.
Gender-based Tracer Study of the Bachelor of Science in Accountancy for AY 2014-2015 to AY 2017-2018
Authors: - Angelina B. Abrojena , - Sharon A. Bactat
Published: October 2024

The study conducted a gender-based analysis on the educational background including competencies and the employability of the Bachelor of Science in Accountancy (BSA) graduates from the College of Business, Economics and Accountancy (CBEA) of MMSU for Academic Years 2014-2015 to 2017-2018.
The research employed a descriptive-quantitative design, which utilized a survey questionnaire to gather data from 65 randomly selected graduates out of a total population of 169. The data collection was facilitated through Google Forms. Descriptive statistics, specifically frequency distribution, percentages and ranks were used to analyze the data.
The findings revealed that more than half of the respondents graduated as cum laude and magna cum laude and that more than half of them passed the Licensure Examination for Certified Public Accountants (LECPA). The primary motivation for pursuing the BSA degree was influenced by parents or relatives, and many graduates pursued further training and advanced studies for professional development. The respondents deemed the competencies acquired during their academic training to be highly relevant, especially in the areas of critical thinking, problem-solving, and communication skills. The study also found out that majority of the BSAcc graduates were employed, predominantly holding permanent positions as accounting staff in the private sector, especially in consulting firms with monthly gross earnings ranging from Php 25,001 to Php 35,000. Notably, many respondents were not in their first jobs, their decision of changing job is influenced by salaries and benefits.
The study highlights the necessity of continuous feedback from graduates to improve the BSAcc curriculum, aligning with industry requirements. This feedback is important for developing a more relevant and effective educational program that further enhances the employability and competencies of future graduates, which ensures they meet the evolving demands of the labor market.
Diﬀerent Types of Architectures in Frontend Design and Development
Authors: - Lakshmanarao Kurapati
Published: October 2024

Frontend architecture defines how frontend code is organized and structured for scalability, maintainability, and performance. Over time, different architectural patterns have emerged to address the challenges of modern web applications. This paper examines prominent frontend architectures, including Monolithic, Component-based, Micro Frontend, MVP (Model-View-Presenter), MVVM (Model-View-ViewModel), Server-Side Rendering (SSR), and Jamstack. By understanding the advantages, limitations, and ideal use cases of each, developers can make informed choices in their projects.
Preservation of water bodies in Tamilnadu
Authors: - Aishwarya.K , - Geethavani.A
Published: October 2024

To understand the need for preservation of water bodies in Tamilnadu, to study the challenges faced in preservation of water bodies, to know the level of implementation and governance issues
Shortcomings of the Bharatiya Sakshya Adhiniyam, 2023: Challenges for Courts, Prisons, and Police
Authors: - Md. Imran Wahab, IPS
Published: October 2024

The Bharatiya Sakshya Adhiniyam, 2023 (BSA) replacing the Indian Evidence Act, 1872 (IEA) introduces several new provisions that create challenges for courts, prisons, and police, impacting their operational efficiency. The increased focus on electronic evidence in judicial proceedings raises worries about the authenticity of digital records and the dependability of electronic testimony, which can easily be subject to manipulation and tampering. Moreover, the law's unclear provisions regarding the admissibility of electronic evidence add to the complexity of its application. Courts, Prisons and Police Units need infrastructural enhancements to support remote monitoring, which necessitates substantial financial investments in video conferencing technology and cyber security measures. For law enforcement agencies, the BSA calls for improved digital forensics capabilities and stricter protocols for evidence gathering in course of investigation, leading to additional administrative and logistical burdens. These deficiencies highlight the urgent need for secure authentication methods, ongoing updates to the legal framework, and increased technological investment to safeguard the integrity of digital evidence. Failing to address these issues could compromise the effectiveness and credibility of the justice system.
Analisis Daya Saing Biji Kopi Indonesia di Pasar Internasional
Authors: Zacharie Raja , Denny Saputera
Published: October 2024

This study aims to analyze the competitive advantage of Indonesian coffee beans in the international market. By using export data from 2015-2022. This research examines the factors influencing Indonesia’s coffee exports and compares Indonesia’s position with major coffee producers. The results highlight Indonesia significant role in the global coffee market and identify key areas for enchancing its competitive advantage. The Revealed Comparative Advantage (RCA) value of Indonesian coffee shows fluctuations during the 2015-2022 period, with an average value of 3.11. This value is the lowest compared to the main competing countries. A significant decline in the RCA value occurred in 2017 and 2018, which indicates that the competitiveness of Indonesian coffee in the international market has decreased in those years. Apart from that, Indonesia has several competitive advantages, especially in terms of quality and diversification of coffee varieties. However, this advantage has not been fully utilized to increase export competitiveness. Government support and innovation in the coffee industry are also important factors influencing competitiveness. Incentive programs and infrastructure improvements need to be increased to support the growth of this sector. The condition of Indonesian coffee exports shows that even though Indonesia is one of the largest coffee producing countries in the world, its position in the export market is still inferior compared to developed countries. Implementation of new technology, farmer training, investment in processing infrastructure, and quality certification can help increase the competitiveness of Indonesian coffee. Close collaboration between the government, private sector and farmers is essential to achieve this goal and strengthen Indonesia's position as a leading coffee producer in the world.
Unpredictable solutions of compartmental quasilinear
differential equations
Authors:   DEPARTMENT OF MATHEMATICS
MIDDLE EAST TECHNICAL UNIVERSITY
06800, ANKARA, TURKEY, AKHMET MARAT , TLEUBERGENOVA MADINA ,   DEPARTMENT OF MATHEMATICS
KTOBE REGIONAL STATE UNIVERSITY
030000, AKTOBE, KAZAKHSTAN, ZHAMANSHIN AKYLBEK ,   DEPARTMENT OF MATHEMATICS
MIDDLE EAST TECHNICAL UNIVERSITY
06800, ANKARA, TURKEY
Published: October 2024

n the present research, quasilinear differential equations with compartmental periodic unpre-
dictable coefficients and perturbations are investigated. The compartmental periodic unpredictable functions
present a new type of recurrency. The problem of existence and uniqueness of unpredictable solutions is stud-
ied for the systems. Numerical simulations which illustrate chaotic and periodic behavior in outputs of the
dynamics are provided
Asymptotic properties of even-order functional differential
equations with deviating argument
Authors:   DEPARTMENT OF MATHEMATICS
FACULTY OF ELECTRICAL ENGINEERING AND INFORMATICS
TECHNICAL UNIVERSITY OF KOŠICE
KOŠICE, SLOVAKIA, BACULĺCOVÁ B. , DŽURINA J. ,   DEPARTMENT OF MATHEMATICS
FACULTY OF ELECTRICAL ENGINEERING AND INFORMATICS
TECHNICAL UNIVERSITY OF KOŠICE
KOŠICE, SLOVAKIA
Published: October 2024

In this paper, new effective technique for investigation of the higher order differential equation
\begin{equation*}\label{E}
y^{(n)}(t)=p(t)y(\tau(t)).
\tag{$E$}
\end{equation*}
is established. We offer new criteria for excluding certain types of nonoscillatory solutions which improve all existing results from the literature. Examples are provided to illustrate the importance of the main results.
Double Roman Domination in Cartesian Product
Authors:   DEPARTMENT OF MATHEMATICS
ST. PETER’S COLLEGE, KOLENCHERY
KOLENCHERY, 682 311, KERALA, INDIA AND
DEPARTMENT OF MATHEMATICS
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
COCHIN - 22, KERALA, INDIA, ANU V. , APARNA LAKSHMANAN S. ,   DEPARTMENT OF MATHEMATICS
ST. PETER’S COLLEGE, KOLENCHERY
KOLENCHERY, 682 311, KERALA, INDIA AND
DEPARTMENT OF MATHEMATICS
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
COCHIN - 22, KERALA, INDIA
Published: October 2024

Given a graph $G=(V,E)$, a function $f:V\rightarrow \{0,1,2,3\}$
having the property that if $f(v)=0$, then there exist $
v_{1},v_{2}\in N(v)$ such that $f(v_{1})=2=f(v_{2})$ or there
exists $ w \in N(v)$ such that $f(w)=3$, and if $f(v)=1$, then
there exists $ w \in N(v)$ such that $f(w)\geq 2$ is called a
double Roman dominating function (DRDF). The weight of a DRDF $f$ is
the sum $f(V)=\sum_{v\in V}f(v)$, and
the minimum among the weights of DRDFs on $G$ is
the double Roman domination number, $\gamma_{dR}(G)$, of $G$. In this paper, we study the impact of cartesian product on the double Roman domination number.
On a useful lemma that relates quasi-nonexpansive and demicontractive mappings in Hilbert spaces
Authors:   DEPARTMENT OF MATHEMATICS  AND COMPUTER SCIENCE
NORTH UNIVERSITY CENTRE AT BAIA MARE
TECHNICAL UNIVERSITY OF CLUJ-NAPOCA
VICTORIEI 76, 430072 BAIA MARE ROMANIA AND ACADEMY OF ROMANIAN SCIENTISTS, BERINDE VASILE
Published: October 2024

We give a brief account on a basic result (Lemma \ref{lem2}) which is a very useful tool in proving various convergence theorems in the framework of the iterative approximation of fixed points of demicontractive mappings in Hilbert spaces. This Lemma relates the class of quasi-nonexpansive mappings, by one hand, and the class of $k$-demicontractive mappings (quasi $k$-strict pseudocontractions), on the other hand and essentially states that the class of demicontractive mappings, which strictly includes the class of quasi-nonexpansive mappings, can be embedded in the later by means of an averaged perturbation. From the point of view of the fixed point problem, this means that any convergence result for Krasnoselskij-Mann iterative algorithms in the class of $k$-demicontractive mappings can be derived from its corresponding counterpart from quasi-nonexpansive mappings.
Hardy Spaces and Integral Means of Certain Integral Operators on Analytic Functions
Authors:   DEPARTMENT OF MATHEMATICS
MADRAS CHRISTIAN COLLEGE (AUTONOMOUS)
UNIVERSITY OF MADRAS
TAMBARAM, CHENNAI, TAMIL NADU, 600059 INDIA, JOHNSON JOCELYN , VARMA S. SUNIL ,   DEPARTMENT OF MATHEMATICS
MADRAS CHRISTIAN  COLLEGE (AUTONOMOUS)
UNIVERSITY OF MADRAS
TAMBARAM, CHENNAI, TAMIL NADU, 600059 INDIA
Published: October 2024

In this paper, we determine the Hardy spaces of certain integral operators on normalised analytic functions defined in the open unit disk in the complex plane with the prior knowledge of the Hardy spaces of the functions or their derivatives in the integral.
On Prime Ideal Space of a Partially Ordered Ternary Semigroup
Authors:   DEPARTMENT OF MATHEMATICS
SHIVAJI UNIVERSITY
KOLHAPUR-416004, MAHARASHTRA, INDIA, SHINDE DATTATRAY , GOPHANE MACHCHHINDRA ,   DEPARTMENT OF MATHEMATICS
SHIVAJI UNIVERSITY
KOLHAPUR-416004, MAHARASHTRA, INDIA
Published: October 2024

In this paper, we introduced the hull-kernel topology $\tau$ on the set $\mathcal P$ of prime ideals in a partially ordered ternary semigroup $T$ and investigated various topological properties of the structure space $(\mathcal P, \tau)$. We also obtained some useful results about compactness and connectedness of the set of all prime full ideals of $T$.
Leverage Centrality on Barycentric Subdivision of Some Graphs
Authors:   T. K. MADHAVA MEMORIAL COLLEGE,  NANGIARKULANGARA, SINUMOL SUKUMARAN , KUMAR RAGHAVAN UNNITHAN SUNIL ,   BABY JOHN MEMORIAL GOVT. COLLEGE, CHAVARA
Published: October 2024

The centrality index on a graph is a real-valued function on the nodes, which provides a ranking of vital nodes in the graph. Each node could be important from an angle, depending on how the concept of importance is defined. There are various measures of centrality, and each one defines a node's importance from a different perspective and provides relevant analytical information about the graph. Leverage centrality of nodes in a graph was defined by Joyce et al. in 2010 as a means to analyze connections within the brain. The definition of this measure shows that it is unique among existing measures in that it counts not just a node's degree, but also its neighbor's degrees. In this paper, we study the leverage centrality of nodes in the $k^{th}$ barycentric subdivision of some classes of graphs. This is a new concept in literature. The process can make regular graphs irregular, and the leverage center of the edge-subdivided graphs under study was investigated.
On Minimum Second neighborhood Degree Energy of
Graphs
Authors:   DEPARTMENT OF MATHEMATICS
UNIVERSITY COLLEGE
UNIVERSITY OF KERALA,KERALA,  INDIA, MANILAL K. , HARIKRISHNAN K. A. ,   DEPARTMENT OF MATHEMATICS
UNIVERSITY COLLEGE
UNIVERSITY OF KERALA,KERALA, INDIA
Published: October 2024

In this paper we establish the second neighborhood degree polynomials of some graphs along
with their energy and also, we obtain some bounds for the spectral radius and second neighborhood energy of
graphs.
Proceso del diseño UX en la evolución de las billeteras digitales, en el perú, en 2023
Authors:   , Reaño Ccoscco Josselin
Published: October 2024

Profundiza las etapas, dando a conocer la importancia y el aporte del proceso de diseño de experiencia de usuario en el desarrollo de la billetera digital a través de la gestión de los equipos tecnológicos como concepto de inclusión financiera y facilidad de uso.
J-Curve For Indonesia’s Trade Balance with Non-Linier ARDL
Authors: Nopeline Nancy , Sirojuzilam Sirojuzilam , Tanjung Ahmad Albar
Published: October 2024

The performance of Indonesia’s Balance of Payments (BOP), especially for the trade balance/current account, which recorded a surplus and adequate foreign exchange reserves, controlled political conditions, and attractive yields, can impact the exchange rate. This improvement in the exchange rate further encouraged the entry of foreign investors, which caused the Indonesian economy to continue to grow when the world experienced a financial crisis. This study analyzes asymmetric models to prove the Marshall Lerner Condition of Indonesia with trading partners. Using NARDL methods, this study uses monthly data from 2005 to 2021 from the International Federal Reserve (IFS), a data source for foreign trade activities. The result of this study is a J curve in Indonesia’s trade pattern with its trading partners, formed in the United States, Singapore, Vietnam, and Japan. For the nonlinear ARDL method, the J curve is formed in trading partners Netherlands, Germany, Korea, Singapore, United Kingdom, Vietnam, and Japan. The implementation of Indonesia’s exchange rate policy should be followed by a policy that can suppress the exchange rate against inflation because if this policy is not followed, it will not significantly impact Indonesia’s trade performance in the long run.
An Analysis of Performance, Efficiency, and Sustainability in Islamic Banks Using Bibliometric Methods
Authors: Airout Rula , Malahim Sari , Alqudah Mohammad Zakaria , Qudah Hanan
Published: October 2024

The Performance, Efficiency, and Sustainability in Islamic Banks literature was thoroughly reviewed using a bibliometric approach that gathered 1,031 publications from Scopus-indexed journals published between 2008 and 2023. We sorted nations, institutions, sources, papers, and writers by performing an exhaustive data analysis using a suite of tools, including Excel, RStudio, and VOSviewer, to determine who has made the most significant contributions to the field of performance, efficiency, and sustainability in Islamic banks. Particularly after 2020, this study showed a dramatic increase in publishing rates. Important areas of study included Islamic banking and finance, Islamic finance and economic growth, Islamic finance and financial crises, and Islamic finance: performance and efficiency. Authors hailing from the US, UK, and Malaysia rose to the pinnacle of their fields quite quickly. Stakeholders may use these findings to inform their decision-making, particularly about the potential impact of performance, efficiency, and sustainability in Islamic banks.
THE ROLE OF OXYMORONS IN ENGLISH LITERATURE
Authors:   Assistant teacher at Denau Institute of Entrepreneurship and Pedagogy, Uzbekistan, kizi Temirova Muattar Amirkul
Published: October 2024

In this article the importance of oxymorons is discussed as a rhetorical device in English literature, focusing on how they are used to express emotional depth and thematic complexity across various literary periods. Oxymorons are defined as statements that strengthen opposing words, enhancing comprehension of central human situations. It is proven that how oxymorons expose complex tensions and conflicts in human relationships, often reflecting broader themes of duality and contradiction. Additionally, it examines the development of oxymorons from the Renaissance to modern literature, highlighting their role in clarifying narrative techniques and intensifying emotional impact.
THE SIGNIFICANCE OF THE INTERNATIONAL ASSESSMENT SYSTEM FOR PREPARING FUTURE PEDAGOGUES
Authors:   Nukus State Pedagogical Institute, Uzbekistan, Rajapov Ruslanbek Sarsenovich
Published: October 2024

This article describes the crucial importance of the International Assessment System (IAS) in molding the training of prospective educators. Acknowledging the changing demands of the global educational landscape, the research seeks to unveil the pivotal role that the IAS plays in guiding teacher preparation programs worldwide. The article examines how involvement with this assessment framework contributes to the cultivation of competent and globally-aware educators. The paper deals with primary objectives include scrutinizing the alignment of teacher preparation programs with international assessment standards, identifying perceived benefits and challenges associated with IAS integration, and proposing recommendations to optimize the preparation of future educators within this global framework.
BIOGRAPHICAL AND COMPARATIVE HISTORICAL INTERPRETATION OF ASAD DILMUROD'S PROSE
Authors:   Independent researcher, Tashkent State University of Uzbek Language and Literature, Uzbekistan, Uzbekistan, Dilmurodova Nilufar
Published: October 2024

The article analyzes and examines the story “Ogir kun” (“Hard Day”) by the famous cultural figure of Uzbekistan, written by Asada Dilmuroda, “Mateo Falcone”, the story of P. Merimee, famous in world literature, and the story of N. V. Gogol “Taras Bulba” on the historical-comparative and comparative-typological aspects.
Characteristics and formation of natural fractures in a silica-rich chalk, Coniacian Arnager Limestone Formation, Bornholm, Denmark.
Authors:   The Danish Offshore Technology Centre, Technical University of Denmark, Glad Aslaug Clemmensen , Orlander Tobias ,   The Danish Offshore Technology Centre, Technical University of Denmark, Geo – Subsurface Expertise, Fabricius Ida Lykke ,   DTU Department of Environmental and Resource Engineering, Technical University of Denmark, Clausen Ole Rønø ,   Department of Geoscience, Aarhus University, Denmark, Clemmensen Lars B. ,   Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark
Published: October 2024

Natural fractures are abundant and important components in many carbonate sedimentary rocks globally. In hydrocarbon and groundwater reservoirs of carbonate rocks they can form connected networks and thereby influence the permeability and f luid flow significantly. Outcrop studies of fractured carbonate rocks can provide an essential understanding of 3-dimensional fracture networks, thereby aiding in understanding fracture patterns and connectivity in subsurface carbonate reservoirs. The Arnager Limestone Formation is a naturally fractured silica-rich chalk of Coniacian age exposed in a coastal cliff on the island of Bornholm in the Baltic Sea (Denmark). This study examines the natural fractures in the Arnager Limestone Formation from a structural and geomechanical perspective. The Arnager Limestone Formation forms one, 12–20 m thick, main rock mechanical unit; bedding planes acts as weak interfaces and divides it into near-identical, cm- to dm-thick rock mechanical subuits. Flat-lying (horizontal) or low-angle dipping bedding-parallel fractures are intersected by two near-vertical or steeply dipping fracture systems, a major N–S-trending system and a less prominent W–E-trending fracture system. Rock mechanical analysis of the tensile strength and elastic moduli provides the foundation for discussing maximum burial depth of the Arnager Limestone Formation. The tensile strength gives information on the bedding-parallel fractures, which can have formed due to stress relief during uplift and erosion, possible accentuated by glacial processes. The near-vertical fracture sets are interpreted to have formed in response to tectonic movements.
Top-down feedback normalizes distortion in early visual word recognition: Insights from masked priming
Authors: Fernández-López Maria , Solaja Olga , Crepaldi Davide , Perea Manuel
Published: October 2024

The identification of visually presented words tolerates distortions in the input format, as Hannagan et al. Plos One, 7, e32121, (2012) demonstrated in a masked priming lexical decision task, showing sizable identity-priming effects with CAPTCHA-like primes. This tolerance to distortion has two potential explanations: bottom-up normalization in the encoding stage (Dehaene et al., Trends in Cognitive Sciences, 9, 335–341, 2005) or top-down lexical feedback (McClelland & Rumelhart, Psychological Review, 88, 375–407, 1981). To disentangle the predictions of these accounts, we conducted two masked identity-priming experiments with printed and CAPTCHA-like distorted primes on high- and low-frequency words. The rationale was that, in the distorted format, high-frequency words would benefit more from top-down feedback than low-frequency words. Results in the lexical decision experiment showed that, for high-frequency words, identity-priming effects were only slightly greater for printed than for CAPTCHA-like primes, whereas this difference was larger for low-frequency words. In contrast, when employing the same-different matching task, which does not require lexical access, the identity-priming effect was greater for printed primes and was unaffected by word frequency. Thus, during lexical access, top-down feedback may help normalize the visual input in the early stages of word recognition, challenging bottom-up models of visual word recognition.
DIGITALIZATION OF THE LABOR MARKET: UNLEASHING ECONOMIC GROWTH THROUGH STATE-DRIVEN REFORMS
Authors: Buriak Glib
Published: October 2024

This paper explores the transformative potential of state-driven platform models for labor market digitalization. It investigates the correlation between efficient human capital allocation, facilitated by these platforms, and economic development. Case studies of Singapore’s SkillsFuture and Estonia’s e-Residency Program illustrate practical implementations. Results show that such models enhance skills development, reduce unemployment, and foster economic growth. Policymakers can leverage these findings to create more efficient, inclusive labor markets in the digital era, with implications for workforce development and economic competitiveness.
Malaysian Sign Language Detection with Convolutional Neural Network for Disabilities
Authors: Mohd Ramzi Iffat Adib Kurnia , Mohd Saufi Mohd Syahril Ramadhan , Md. Zain Mohd Zarhamdy , Ab Wahid Mastura , Ab Talib Mat Hussin , Waziralilah Nur Fathiah , Hassan Kamarul Arifin
Published: October 2024

Sign language is the main form of communication used by deaf people. Most of their activities like speaking and learning involved sign language. In Malaysia, instead of a deaf person, only a few people know sign language because it's not part of the co-curriculum. Hence, normal people need to know sign language so that they can communicate with deaf people effectively. However, learning sign language requires a lot of effort and takes years of study. Therefore, this research tends to initiate the sign language image detection system that utilizes the deep learning model. The initial effort involves the development of an image detection system that can identify the alphabet of sign language from A to Z. There will be 26 alphabets that contribute to 26 classes of image detection using the Convolutional Neural Network. 85 images will be collected for each alphabet and the total data will be distributed into 80% and 20% for training and testing the CNN model, respectively. The result showed that the proposed system produced more than 95% detection accuracy of the alphabet based on finger sign gestures. For future works, the proposed system will be evaluated with a more complex dataset in terms of words.
Performance Analysis of C-V2X Resource Allocation in an Urban Vehicular Network
Authors: Zainol Abidin Husna , Mazlan Ahmad Muqri Aqil , Mazalan Lucyantie , Che Abdullah Syahrul Afzal , Qasim Hamzah Hadi
Published: October 2024

This paper discusses the performance of a Cellular-Vehicle to Everything (C-V2X) in an urban vehicular network focusing on the Fifth Generation New Radio (5G NR). Urban areas with high volume of vehicles not only cause traffic jams and accidents but also affect the C-V2X communication. It requires a lot of resources and sometimes causes problems if resources are not well allocated. Limited resources need to be allocated efficiently to meet different needs and avoid congestion such as, Quality of Service (QoS), latency, and data rates. The main goal of this paper is to investigate the performance of C-V2X schedulers in the vehicular network. The objectives include developing a model of C-V2X network that includes Resource Allocation (RA) schedulers, assessing the schedulers in the model, and validating the performance of the RA schedulers. The system-level simulator has been deployed to evaluate the performance of the C-V2X communication with different schedulers for RA. The performance was analysed in terms of throughput and delay which were studied through simulation work conducted using OMNET++ with Simu5G framework. The results show that Deficit Round Robin (DRR) is better than Maximum Carrier to Interference Ratio (MAXCI) and Proportional Fair (PF) with 1.345% throughput and 0.033% delay. Therefore, it can be concluded that DRR scheduler has the best performance in terms of throughput and delay for VoIP traffic.
Informatization of Educational Management in Private Colleges of Guangdong Province: Challenges, Investments, and Infrastructure Improvements
Authors: Jian ping Jiang, , Yaoyao Tang, , B. Ayo Eliza
Published: October 2024

This study explores the state of informatization in educational management within private colleges in Guangdong Province, using H College as a case study. Despite recent advancements, the informatization process faces significant challenges, including misconceptions about digital management, insufficient investment, a lack of digital sharing mechanisms, and suboptimal user experiences for both students and faculty. Through a comprehensive analysis of educational indicators, investment patterns, and the current status of digital resources, this paper highlights the critical need for a strategic approach to educational management informatization. The findings underscore the importance of fostering a service-oriented framework that prioritizes the needs of teachers and students while advocating for increased investment in infrastructure and digital platforms. Ultimately, the research aims to contribute to the ongoing efforts to modernize educational governance in private higher education institutions, ensuring they can effectively meet the demands of the evolving educational landscape.
Emphasizing “Integrationism” in Twenty-First Century Science: Another Useful Tool to Generate Better Scientific Paradigms Better Quality Science
Authors: Rao Mandavilli Sujay
Published: October 2024

The core objective of this paper is to emphasize the importance of “integrationism” as a core and a central method, and as a core philosophy of science, social sciences included, and one that can naturally and reliably be used to generate much better paradigms, better frameworks, and better concepts in science, and higher quality and higher order science as well. We also believe and propose that this technique become vital to scientific endeavour as a whole. In order to better perform the task of laying down the bare essentials of this paper, we review our earlier papers on scientific method of which there have indeed been many published over the last couple of years or so, including our much more recent paper on foundationalism. We also then go on to explain and elucidate why inductivism, including methodological inductivism and nomothetic approaches provide the epistemological basis for this paper, and stand us in very good stead. We also examine and explore other essential prerequisites of this approach including the need and necessity of dogma and ideology-free science, coherentism, reliabilism, internal and external validity, accuracy, rigour, precision, and also explain how this approach can be used to integrate and synthesize paradigms, frameworks, methods, and methodologies as well across a broad spectrum.
Taste and Habit of Food and Consumer Behavior in the USA in the Early Years of Covid-19 Pandemic
Authors: Saha S.N.
Published: October 2024

The USA, a highly advanced economy in the world, had experienced increase in household demand for specific food items (restaurant and cafeteria supply, in particular) in the early years of Cobid-19 pandemic. People of America depended largely on the tastes and habits of food items in their household consumption. Even with increasing prices the demand for restaurant foods showed increasing trends. This means that the consumption of food away from home (FAFH) increased and food at home (FAH) fell in demand in 2020 and 2021 (Covid- 19 pandemic). Fundamental law of demand in economics (Ceteris Paribus) for normal goods demand will fall if price of the same increases and vice versa. In the present study, rise in prices of normal goods (restaurant and cafeteria foods) had also shown increase in their demand. This perhaps shows paradoxical to the law of demand in economic theory.  Methodology: This is a study based on secondary sources of information including research works, official publications and those from academic institutions. Analysis of data generated and narratives have been used to find the contemporary food economy of the USA. The demand for food (both FAFH and FAH) has been given importance in the situation of food inflation in the USA in early years of Covid- 19 pandemic. Finally, the equilibrium of the household food consumption is shown geometrically (Fig-1).  Findings and Results: It is found from the study that while the price of food away from home (FAFH) was increasing, the demand for those was also increasing in 2020 and 2021 in the USA. Food being a ‘normal good’ might have shown a fall in demand when price was increasing. This is perhaps, paradoxical in view of the law of demand in economic theory.
A gazdasági, társadalmi és egészségügyi válságok hatása a családon belüli erőszak áldozataira
Authors: Domokos Andrea
Published: October 2024

Aim: The situation of victims of domestic violence and partner abuse becomes even more serious in crisis situations. There have been and are ongoing conflicts in the world, which have been scrutinized by economists, sociologists, criminologists, health professionals and lawyers alike in recent years. The latest related research worldwide provides a lot of important new information that can help prepare for the problem and provide professionally competent answers.
Methodology: A selection of research conducted in different parts of the world. Summary reports were prepared to shed light on similarities and differences.
Findings: It is clear from the processed literature that the individual forms of violence are connected in crisis situations and pose an even greater danger. Violence at the macro level, such as war, also increases violent conflict at the micro level. The crises caused by the fear of COVID, the lockdown, war conflicts, hunger, and the climate disaster spill over into family homes and make the victims of domestic violence and partner abuse even more vulnerable. Most of the processed materials analyse research born after COVID. The COVID-19 epidemic also provided many lessons regarding the management and prevention of the economic effects of future natural disasters and the associated increased domestic violence.
Value: Analyses point to relationships that need further research and evaluation. In the future, macro- and micro-level violence research must be continued, common global results must be aggregated, and complex, global solutions must be developed. International organizations must continue to collect data and provide clear guidelines to public bodies and social organizations for the joint management of macro- and micro-level problems.
Crisis as inflection point in the urban governance of domestic migration in India: a policy frames analysis
Authors: Naik Mukta
Published: October 2024

The exodus of millions of domestic migrants from Indian cities during COVID-19 highlighted the failure of urban governance to address their vulnerabilities and reconfirmed that migrant integration is an intractable policy problem, where actors take oppositional and irresolvable positions. Drawing on frame analysis, which outlines agenda-setting aspects of complex policy issues, this paper explores the ideas, perceptions and beliefs of diverse governance actors – politicians, bureaucrats and civil society members – and questions whether the COVID-19 migrant crisis generated new directions in the urban governance of migration. Results show that the COVID-19 crisis generated framing contests around the role of cities in migrant inclusion that shaped new governance agendas regarding improving urban services and welfare delivery. However, owing to a persistent belief in rural sedentarism, COVID-19 failed to act as a tipping point for definitive policy towards improved urban governance of migration. The findings suggest that deeper analysis of policy frames can enrich literature on the governance of domestic migration and encourage theoretical convergences between domestic and international migration.
Improving the Imbalanced Data Accuracy Using CNN and ReLU
Authors: Saeed Adnan , Baber Junaid , Abbas Muhammad Zain , Sajid Ahthasham , Razzaq Hamza , Khan Arsalan Ali
Published: October 2024

In today’s academic world, learning from datasets is a trendy topic. In the event of imbalanced data, none of the many data mining tools available for this purpose work well, partly because this type of data generates a range of minority classes, which might obstruct the learning process. In addition to its enormous volume, big data has the traits of speed and variety. In this paper, the authors have proposed a CNN model with a rectified linear activation function (ReLU) activation function to get good accuracy on an imbalanced dataset. The dataset used in this paper was electrocardiogram (ECG) heartbeat categorization.
Material Selection and Design Methods for Flexible RFID Tag Antenna
Authors: Yu Yan
Published: October 2024

In recent years, advancements in flexible printed electronics have significantly propelled the development of wearable devices, especially in areas of integration, comfort, and streamlined manufacturing. By incorporating electronic components and conductive coatings onto flexible substrates, circuits gain enhanced flexibility and some degree of stretchability. Among these circuits, radio frequency identification (RFID) tag antennas have emerged as a focal point in wearable device communication due to their adaptability in power selection and their compatibility with printed circuit technologies. When designing flexible and stretchable RFID tag antennas using printed electronics, two critical factors need to be addressed. The first is the antenna’s structural design, which must account for varying environments and usage contexts. The second is the development of the antenna prototype, involving the selection of conductive coatings and flexible substrates, as well as the printing processes and performance evaluation standards. This paper will explore common conductive coatings and substrate materials used in flexible printed electronics, along with the design methods of printed tag antennas for wearable applications. Lastly, a novel approach is proposed in which the flexible and stretchable RFID tag antenna itself functions as a strain sensor for posture or pressure detection. Unlike conventional strain sensors, this design eliminates the need for additional communication modules, offering a simplified structure that can be easily printed onto clothing, thereby streamlining the production process.
Shattering the Myth of the “Jungle that Kills”: Analysis of the Role of Intermediaries in Crossing the Darién Region (Colombia-Panama Border)
Authors: Sarrut Marilou , Echeverri Zuluaga Jonathan , Valenzuela Amaya Santiago
Published: October 2024

A “green hell”; a “jungle that kills”: the semantics of political and media discourse hold the Darién jungle responsible and criminalise it as a central actor in migration. However, while the environment is certainly hostile, it cannot bear responsibility for the deaths of thousands of migrants who pass through it every day to reach the United States. This article examines the mythologised space of the Darién region beyond the topography and representations by analysing the roles played by intermediaries in crossing the jungle at local, national, and international levels. These practices, some of which are criminalised, are cloaked in representations that obscure the diversity of intermediaries while overlooking the migrants’ agency in making the crossing. Based on an ethnography of three strategic points on the route and a geographical approach, this article aims to add complexity to the reductionist representation of the migratory dynamics as split between a repressive government on one side and “evil” traffickers on the other.
French Retirees in Morocco: Privileged Spatialities?
Authors: Pinel Jordan , Le Bigot Brenda
Published: October 2024

Based on two surveys conducted between 2014 and 2019 among French retirees living on a year-round or seasonal basis in the Souss-Massa region of Morocco, this article analyses the multiple migratory spatialities of this migration from the “North” to the “South”. By examining the privileged dimension of these spatialities, the article contributes to the emerging field of lifestyle migration, with a geographical perspective. Our results present the privileges of access to and use of spaces by these migrants in the Moroccan destination linked to their advantageous positions in social, racial and national hierarchies in a postcolonial context. These privileged spatialities nonetheless appear to be diverse, particularly in view of the social heterogeneity of the group studied.
Embracing Empathy
Authors: Lettieri Marco
Published: October 2024

The academic years of 2020 and 2021 were marked by unprecedented challenges for both university students and professors worldwide, stemming from the global Covid-19 pandemic. This crisis necessitated a swift transition to online learning, profoundly impacting all aspects of university life. Amidst this upheaval, the concept of the “pedagogy of kindness” has gained prominence, emphasizing compassion, empathy, and understanding in education. Recognized as integral to course design and teaching methodology, this approach has become even more relevant beyond the pandemic era. Advancements in artificial intelligence (AI) technology offer promising avenues to enhance the pedagogy of kindness. Through personalized learning, adaptive systems, emotional intelligence recognition, chatbots, language processing, early intervention mechanisms, and virtual reality, AI can augment educators' abilities to create inclusive and empathetic learning environments.