bluuebunny/crossref_metadata_2025 huggingface dataset:
MicroRNA-206 as a promising epigenetic approach to modulate tumor-associated macrophages in hepatocellular carcinoma
Authors: Ramoni Davide , Montecucco Fabrizio
Published: October 2024

This letter comments on the recently published manuscript by Huang et al in the World Journal of Gastroenterology , which focused on the immunomodulatory effect of Calculus bovis on hepatocellular carcinoma (HCC) tumor microenvironments (TME) by inhibiting M2-tumor-associated macrophage (M2-TAM) polarization via Wnt/β-catenin pathway modulation. Recent research highlights the crucial role of TAMs and their polarization towards the M2 phenotype in promoting HCC progression. Epigenetic regulation, particularly through microRNAs (miR), has emerged as a key factor in modulating immune responses and TAM polarization in the TME, influencing treatment responses and tumor progression. This editorial focuses on miR-206, which has been found to inhibit HCC cell proliferation and migration and promote apoptosis. Moreover, miR-206 enhances anti-tumor immune responses by promoting M1-polarization of Kupffer cells, facilitating CD8+ T cell recruitment and suppressing liver cancer stem cell expansion. However, challenges remain in understanding the precise mechanisms regulating miR-206 and its potential as a therapeutic agent. Targeting epigenetic mechanisms and improving strategies, whether through pharmacological or genetic approaches, offer promising avenues to sensitize tumor cells to chemotherapy. Understanding the intricate interactions between cancer and non-coding RNA regulation opens new avenues for developing targeted therapies, potentially improving HCC prognosis.
LINGUISTIC ANALYSIS OF PRECEDENT UNITS IN TOGAY MURAD'S STORIES
Authors:   Uzbek language doctoral student, Navoi State Pedagogical Institute, Uzbekistan, kizi Jorayeva Gulhayo Hakim
Published: October 2024

In this article, the precedent units used in Togay Murad’s stories are summarized and analyzed from a linguistic and cultural point of view, also the importance of these units in illuminating the mentality of the nation is revealed.
REVOLUTIONARY MOVEMENT IN TURKEY
Authors:   Associate Professor of the Higher School of Translation Studies, Linguistics and International Journalism, Doctor of Philology (DSc), Tashkent State University of Oriental Studies, Uzbekistan, Xusnitdinovich Sharipov Rustam , Rustamovna Sharipova Xilola ,   Xalqaro xususiy huquq kafedrasi katta o‘qituvchisi, yuridik fanlar bo‘yicha falsafa doktori (PhD), Toshkent davlat yuridik universiteti, Uzbekistan
Published: October 2024

In this article, the processes of national importance that influenced the emergence, formation and development of the Jadidist movement in Turkestan are studied.
FORMATION OF CHILDREN'S INTEREST IN MUSICAL INSTRUMENTS
Authors:   Acting Associate Professor of the Department of Musical Education, KSPI, Uzbekistan, Madaminov N.
Published: October 2024

The role of musical instruments is important in the moral and aesthetic development of children. Through the history of the creation of musical instruments, the main goal is to regulate children's moral behavior in the future. Ways to interest students in national musical instruments are shown.
Reaction-time task reliability is more accurately computed with permutation-based split-half correlations than with Cronbach’s alpha
Authors: Kahveci Sercan , Bathke Arne C. , Blechert Jens
Published: October 2024

While it has become standard practice to report the reliability of self-report scales, it remains uncommon to do the same for experimental paradigms. To facilitate this practice, we review old and new ways to compute reliability in reaction-time tasks, and we compare their accuracy using a simulation study. Highly inaccurate and negatively biased reliability estimates are obtained through the common practice of averaging sets of trials and submitting them to Cronbach’s alpha. Much more accurate reliability estimates are obtained using split-half reliability methods, especially by computing many random split-half correlations and aggregating them in a metric known as permutation-based split-half reliability. Through reanalysis of existing data and comparison of reliability values reported in the literature, we confirm that Cronbach’s alpha also tends to be lower than split-half reliability in real data. We further establish a set of practices to maximize the accuracy of the permutation-based split-half reliability coefficient through simulations. We find that its accuracy is improved by ensuring each split-half dataset contains an approximately equal number of trials for each stimulus, by correcting the averaged correlation for test length using a modified variant of the Spearman–Brown formula, and by computing a sufficient number of split-half correlations: around 5,400 are needed to obtain a stable estimate for median-based double-difference scores computed from 30 participants and 256 trials. To conclude, we review the available software for computing this coefficient.
ANALYSIS OF THE CONTRIBUTION OF RURAL AND URBAN LAND AND BUILDING TAX (PBB-P2) TO THE REGIONAL ORIGINAL REVENUE (PAD) OF KOLAKA REGENCY IN 2016-2020
Authors: SUPARDI DEWI , BASRU WAWO Prof. Dr. H. ANDI , ASNI Dr. NUR
Published: October 2024

This study aims to analyze the contribution and development of Rural and Urban Land and Building Tax (PBB-P2) to the Regional Original Income (PAD) of Kolaka Regency in 2016- 2020. Data collection techniques use documentation and literature. The data analysis technique used in this study uses a qualitative descriptive analysis method. The results of the study show that: (1) The contribution of Rural and Urban Land and Building Tax (PBB-P2) to Regional Original Income (PAD) in 2016 to 2020 is included in the very low criteria because the contribution is in the range from 0.00% to 10.0%, namely the average contribution is at 3% with very low criteria. (2) The trend or development of PBB-P2 to Regional Original Income (PAD) in the last five years has shown an increasing trend in the percentage of contribution.
ASSESSING THE FINANCIAL LITERACY AMONG THE ENTREPRENEURS OF FINANCIAL SACCO’S IN RWANDA
Authors: OSWALD Dr. RUDAHIGWA
Published: October 2024

The purpose of the study was to assess the financial literacy among the entrepreneurs in financial sacco’s of Rwanda, the descriptive and correlational analysis research designs were used in this study to enable the researcher to collect data, summarize them, present them, and then interpret them for clarification. Based on the specific objective which was to assess the financial literacy among the entrepreneurs in financial sacco’s of Rwanda, From the perceptions of respondents on debt management literacy, indicated that on average, respondents strongly agreed with the statements made because the overall mean is 4.65 and the mean score on a statement about if respondents are confident in their ability to create a personal budget is 4.89 which is strong and standard deviation of 0.40 which is homogeneous, indicated that the agreement with the statement. The respondents also strongly agreed that they understand the concept of interest rates and how it impacts borrowing as indicated by a strong mean of 4.91 and a homogeneous standard deviation of 0.43. From the perceptions of respondents on timely repayment, the respondents strongly agreed that timely repayment of loans is a priority for maintaining good financial collateral evaluation indicated by a strong mean of 4.33 and a homogeneous standard deviation of 0.47 which indicates that the respondents answered the same. They also strongly agreed with statements that understand the importance of making loan payments on time to avoid additional fees, penalties, or damage to credit scores as indicated by a strong mean of 4.17. The results indicate that the adjusted R2 is 0.471 representing 47.1% indicating that the financial literacy components contribute to the loan repayment, while 0.529 representing 52.9% of loan repayment comes from other variables that are not included in the model three. From ANOVA Table shown, the F- test of 39.420 has a p-value = 0.000, indicating that the variables used in the model jointly have a statistical significance as good predictors of loan repayment.
THE EFFICACY OF FACEBOOK MARKETING STRATEGIES IN CATALYSING BUSINESS GROWTH FOR EVENT MANAGEMENT ENTERPRISES IN BULAWAYO
Authors: DUBE SIFISO , NEMASHAKWE PAUL
Published: October 2024

In the contemporary business landscape, digital marketing has become a pivotal tool for fostering business growth and establishing a competitive edge. Social media platforms, particularly Facebook, have emerged as crucial channels for reaching target audiences and promoting brand visibility. In the realm of event management companies, the strategic utilisation of these digital tools holds the potential to enhance event promotion, bolster audience engagement, and elevate brand visibility, ultimately contributing to business growth. Although significant research has been done in Zimbabwe on the efficacy of digital marketing tactics in a variety of industries, there is paltry research- based knowledge on the effectiveness of Facebook marketing strategies in promoting growth in event management entities in Bulawayo. Hence, this study sought to analyse the effectiveness of Facebook marketing strategies in promoting growth for event management companies in Bulawayo. Guided by the pragmatism research philosophy and the abductive approach, the study used a mixed methods design. Quantitative data was collected from participants chosen through proportional stratified sampling while qualitative data was collected from participants chosen through purposive sampling. The study found that Facebook was an effective platform for enhancing brand visibility within the local market. It was concluded that there was a positive correlation between Facebook marketing and attraction of customers, retention of customers, brand reputation and business growth for event management enterprises in Bulawayo. It was recommended that organisations must establish robust systems for monitoring social media metrics regularly and analysing key performance indicators such as reach, engagement, and conversion rates.
İslam Ceza Hukukunda Çocuklara Yönelik Hükümler -Fail ve Mağdur Olarak-
Authors: Köse Üzeyir
Published: October 2024

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South Sulawesi Astra Motor Dealer Marketing Communication Strategy in Building Honda's Brand Image through Sport Sponsorship
Authors: Reda Moh. Arif , Akbar Muh. , Fitriana Fitriana
Published: October 2024

The purpose of this research is to determine the marketing communication strategy of the South Sulawesi Astra Motor Dealer in Building the Honda Brand Image in South Sulawesi through the Makassar PSM Club. This research uses descriptive qualitative using Marketing Mix 7 P. The data collection technique used is observation, face-to-face interviews. and documentation. The results of the research show that the Marketing Communication Strategy of the South Sulawesi Astra Motor Dealer in Building Honda's Brand Image in South Sulawesi through the Makassar PSM Club. The Astra Motor South Sulawesi Marketing Communication Strategy in building Honda's Brand Image through a partnership with PSM Makassar succeeded in increasing the image and sales of the product. Through a 7P marketing mix approach which includes product, price, place, promotion, people, process and physical evidence, Astra Motor utilizes PSM's strong support base to create positive associations with the Honda brand.
Efficient Violence Recognition in Video Streams using ResDLCNN-GRU Attention Network
Authors: Dey Arnab , Biswas Samit , Abualigah Laith
Published: October 2024

Detecting Violence in video streams is essential for public safety and security due to the rising frequency of violent incidents. Despite the extensive deployment of CCTV for surveillance, the available human monitoring resources still need to catch up with the need for vigilant supervision. This research presents a new lightweight model to address this gap by accurately identifying and categorizing violent behaviors in various scenarios, including CCTV footage. The proposed method leverages optical flow and RGB data to capture spatiotemporal features in the Violence data. Built on a Residual DLCNN architecture integrated with the Attention mechanism and GRU components, the model effectively handles high-dimensional video data, enhancing accuracy by prioritizing crucial frames containing violent and nonviolent instances. The proposed model's performance was validated on the Hockey Fights (HF), Movie Fights, and SCVD datasets, achieving impressive accuracies of 98.38%, 99.62%, and 90.57%, respectively. Here, we developed the Extended Automatic Violence Detection Dataset (EAVDD), featuring 1530 videos of violent scenes in movies, public spaces, social media, and sports. Testing the model with top fight scenes in rated movies yielded outstanding results. This research supports surveillance systems and advances short video analysis and understanding with applications in public safety, social media, sports, and law enforcement.
Brain Tumor Detection through Image Fusion Using Cross Guided Filter and Convolutional Neural Network
Authors: M.V. Srikanth , Kethavath Sivalal , Yerram Srinivas , Kalli SivaNagiReddy , Nagasirisha.B  , Brahmaiah Naik Jatothu
Published: October 2024

This Data fusion has become a significant issue in diagnostic imaging, particularly in medical applications like radiation and guided image surgery. Medical image fusion aims to enhance the precision of tumor diagnosis, by preserving the salient information and characteristics of the original images in the fused image. It has been shown that guided filters are capable of maintaining edges well. In this paper, we propose a novel cross-guided filter-based fusion approach for multimodal medical images utilizing convolutional neural networks. The cross-guided filter is used in the proposed algorithm to extract the detailed features from the source images. Convolutional neural networks are used to generate the feature weights of source images derived from the detail layers. The weighted average rule is used to merge the source images based on these weights. We used thirty distinct types of medical images from diverse sources to compare the effectiveness of the proposed strategy to that of existing methods, both numerically and visually. The experimental findings demonstrated that, in terms of both objective evaluation and qualitative image quality, the suggested system performs better than other standard methods already in use. The quantitative results show that compared to existing methods under consideration for comparison, the proposed algorithm improves mutual information by 25%, image entropy by 9.5%, spatial frequency by 21%, standard deviation by 18.1%, structural similarity index by 30%, and edge strength of the fused image by 39%.
Bibliometric Analysis of Articles on COVID-19 in the Transportation Industry: An Early Study
Authors: Karakavuz Harun , Canöz Nilüfer , Ertek Ahmet
Published: October 2024

The COVID-19 pandemic, which emerged in Wuhan, China in November 2019 and affected the whole world, deeply affected the transportation industry as well as all sectors. The magnitude of the effects is also reflected in the number of academic publications, and the publication pool that would occur in decades has emerged in only 3 years. In this study, a quantitative bibliometric analysis, consisting of performance and collaboration analyses, was conducted to examine the vast publication pool in the context of the transportation sector. "Articles, final versions of articles and articles published in English only" filters were used to limit data. As the time limit, the years 2019-2022 were chosen. As a result of the search made in the Scopus database, a total of 951 articles were reached. R statistical program was used for data analysis and Biblioshiny was used for visualizations. Analyzes were carried out both in the context of all transport modes and separately for each transport mode. The results show that a total of 2605 authors were employed in 951 articles, 155 articles were single-authored, and 796 articles were multi-authored. Results of the analysis have revealed that the most productive countries are the USA and China, the most used keyword is “COVID-19”, the most cited country is Norway, the countries with the most publication cooperation in the context of country collaborations are UK and Hong Kong, the lowest cooperation rate belongs to Türkiye and South Africa. On the other hand, it has been determined that the author with the most academic studies on COVID-19 for transport modes is HAN H. In this study, the most important result revealed within the scope of performance analyzes and cooperation analyzes is that development level of the country and the importance given to education are important variables in country productivity. As the level of development and the importance given to education increase, the number of academic studies also increases. On the other hand, another important result revealed in the study is that early COVID-19 studies receive more citations and occupy central positions in citation networks. In addition, it can be mentioned that method studies are also cited more.
The Influence of Organizational Climate and Motivation on Employee Performance at The District Health Office Garut
Authors: Firmansyah Yusuf , Ridwan S , Roswinna Winna
Published: October 2024

The purpose of this study was to determine and analyze (1) organizational climate; (2) work motivation; (3) employee performance; (4) the effect of organizational climate and motivation on employee performance at the Garut Regency Health Office, both simultaneously and partially. The method used in this research is in accordance with the expected objectives, namely descriptive and verification methods. The unit of analysis in this study was the employees of the Garut Regency Health Office, with a sample of 51 people and the analysis method used is frequency distribution and path analysis. Based on the results of the analysis, it is found that the Organizational climate at the Garut Regency Health Office is quite conducive; employees of the Garut Regency Health Office have a high level of motivation; employees of the Garut Regency Health Office have a high performance. Employees of the Garut Regency Health Office have a fairly high performance and organizational climate and motivation affect the performance of employees of the Garut Regency Health Office. However, when viewed partially, it turns out that organizational climate is more dominant in influencing employee performance than motivation. Organizational climate dominantly influences employee performance rather than motivation, therefore the Garut Regency Health Office is required to prioritize improvements in the organizational climate of employees by carrying out
continuous bureaucratic reform.
Identification of Relationship between Meta Cognition and Misconceptions
Authors: Sharma Urvashi
Published: October 2024

This study investigates the complex interplay between meta cognition and misconceptions within the educational context, focusing on implications for effective teaching and learning strategies. Aligning with India's National Education Policy (NEP) 2020, which advocates for a transition from rote memorization to in- depth understanding, this research explores the concurrent presence of misconceptions and meta cognition in elementary science education. Meta cognition, the process of reflecting on one's cognitive processes, and misconceptions, or predefined notions that impede authentic learning, are analyzed through influential frameworks, including those developed by Flavell and Nelson and Narens. The MASRL model by Efklides is also incorporated to understand the interplay of meta cognitive knowledge, control strategies, experiences, task characteristics, and learning outcomes. The study highlights the impact of misconceptions as cognitive barriers and their influence on meta cognition, emphasizing the need for effective educational strategies. The literature review explores existing research on meta cognition and misconceptions, showcasing how meta cognition acts as a cognitive mirror, enabling learners to navigate and rectify misconceptions. This research has significant educational implications, highlighting the importance of cultivating self-directed learning, critical thinking, and evidence- based study strategies to enhance academic outcomes. The study concludes by emphasizing the dynamic interplay between meta cognition and misconceptions, offering insights for educators and researchers to design interventions fostering accurate conceptual understanding in learners.
Impacts of human resources management strategies and practices on workers performance in construction industry: a review
Authors: Maliha Mohammed N. , Tayeh Bassam A. , Abu Aisheh Yazan Issa
Published: October 2024

Human resource management (HRM) plays a vital role in the growth and sustainability of companies and in achieving company objectives, as HRM relates to the workers’ practices and their functional roles. The main objective of this paper is to identify the HRM strategies, practices and their impact on worker’s performance in the Architecture, Engineering, and Construction (AEC) Industry. The method which was used in this study was based on three stages. After the completion of the database and web engine search, the total number of sources found were 149. Next, the sources’ titles and abstracts were reviewed and those marked as relevant to the review were chosen to be retrieved and thoroughly reviewed. The sources were chosen based on the following inclusion criteria: (a) the sources implied in HRM strategies in the AEC industry, (b) the sources released between 2010 and 2023, (c) the online sources, and (d) the English-language sources. Also, the selected sources are reviewed to extract the factors using the content analysis method which is a thorough and systematic study of the contents of a specific body of material. In addition, content analysis is carried out to extract practices of HRM strategies and their impact on worker performance. This can be followed up and observed through the figures and tables that come later. As a final result, which concludes the outputs of the previous stages which results in a first-round total of 31 HRM strategies practice but in the second-round result of reaching 39 different sources from 149 related sources. After that, discussing the most popular between them based on the appearance of it in the sources which reviewed beside that, the impact of it on worker’s performance were viewed in the AEC industry. Based on that, it was found the following 5 categories of strategies: (1) Human Resources Planning; (2) Polarization and Recruitment; (3) Training and Development; (4) Human Resources Following-up; (5) Career Planning. At the same time the most popular practices are based on appearance in sources: In terms of Human Resources Planning Strategy, “The company’s management analyses the functions accurately”. In Polarization and Recruitment Strategy, “The company’s internal resources are the best to provide its human resource needs” and “Selection and recruitment policies are in line with the company’s current and future needs”. In Training and Development of Human Resources Strategy, “The company evaluates the results of development and training programs to achieve the purpose of feedback”. In Human Resources Following-up Strategy, “There is a fair incentive system in the company”. In Career Planning Strategy, “There is a clear description of the relationship of workers to each other”. Finally, human resource management strategies and practices are one of the major players in the AEC industry, which is evidenced by its impact on the performance of workers.
First published online 22 October 2024
Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?
Authors: Yao Zhu-Heng , Yang Sen , Guo Wei-Jian , Chen Yong-Jie , Songsheng Yu-Yang , Bao Dong-Wei , Jiang Bo-Wei , Wang Yi-Lin , Zhang Hao , Hu Chen , Li Yan-Rong , Du Pu , Xiao Ming , Bai Jin-Ming , Ho Luis C. , Brotherton Michael S. , Aceituno Jesús , Winkler Hartmut , Wang Jian-Min ,   Seambh Collaboration
Published: October 2024

Over the past three decades, multiple reverberation mapping (RM) campaigns conducted for the quasar PG 2130+099 have exhibited inconsistent findings with time delays ranging from ∼10 to ∼200 days. To achieve a comprehensive understanding of the geometry and dynamics of the broad-line region (BLR) in PG 2130+099, we continued an ongoing high-cadence RM monitoring campaign using the Calar Alto Observatory 2.2 m optical telescope for an extra four years from 2019 to 2022. We measured the time lags of several broad emission lines (including He ii, He i, Hβ, and Fe ii) with respect to the 5100 Å continuum, and their time lags continuously vary through the years. Especially, the Hβ time lags exhibited approximately a factor of 2 increase in the last two years. Additionally, the velocity-resolved time delays of the broad Hβ emission line reveal a back-and-forth change between signs of virial motion and inflow in the BLR. The combination of negligible (∼10%) continuum change and substantial time-lag variation (over 2 times) results in a significant scatter in the intrinsic R
Hβ
–L
5100 relationship for PG 2130+099. Taking the consistent changes in the continuum variability time scale and the size of the BLR into account, we tentatively propose that the changes in the measurement of the BLR size may be affected by “geometric dilution”
A Search for Collisions and Planet–Disk Interactions in the Beta Pictoris Disk with 26 Years of High-precision HST/STIS Imaging
Authors: Avsar Arin M. , Wagner Kevin , Apai Dániel , Stark Christopher C. , Wyatt Mark C.
Published: October 2024

β Pictoris's well-studied debris disk and two known giant planets, in combination with the stability of the Hubble Space Telescope’s Space Telescope Imaging Spectrograph (HST/STIS) (and now also JWST), offers a unique opportunity to test planet–disk interaction models and to observe recent planetesimal collisions. We present HST/STIS coronagraphic imaging from two new epochs of data taken between 2021 and 2023, complementing earlier data taken in 1997 and 2012. This data set enables a temporal comparison with the longest baseline and highest precision of any debris disk to date, with sensitivity to variations in temporal surface brightness of sub-percent levels in the midplane of the disk. While no localized changes in surface brightness are detected, which would be indicative of a recent planetesimal collision, there is a tentative brightening of the southeast side of the disk over the past decade. We link the constraints on surface brightness variations to dynamical models of the planetary system’s evolution and to the collisional history of planetesimals. Using a coupled collisional model and injection/recovery framework, we estimate sensitivity to expanding collisional debris down to a Ceres mass per progenitor in the most sensitive regions of the disk midplane. These results demonstrate the capabilities of long-baseline, temporal studies with HST (and also soon with JWST) for constraining the physical processes occurring within debris disks.
Pursuing Truth: Improving Retrievals on Mid-infrared Exo-Earth Spectra with Physically Motivated Water Abundance Profiles and Cloud Models
Authors: Konrad Björn S. , Quanz Sascha P. , Alei Eleonora , Wordsworth Robin
Published: October 2024

Atmospheric retrievals are widely used to constrain exoplanet properties from observed spectra. We investigate how the common nonphysical retrieval assumptions of vertically constant molecule abundances and cloud-free atmospheres affect our characterization of an exo-Earth (an Earth-twin orbiting a Sun-like star). Specifically, we use a state-of-the-art retrieval framework to explore how assumptions for the H2O profile and clouds affect retrievals. In the first step, we validate different retrieval models on a low-noise simulated 1D mid-infrared (MIR) spectrum of Earth. Thereafter, we study how these assumptions affect the characterization of Earth with the Large Interferometer For Exoplanets (LIFE). We run retrievals on LIFE mock observations based on real disk-integrated MIR Earth spectra. The performance of different retrieval models is benchmarked against ground truths derived from remote sensing data. We show that assumptions for the H2O abundance and clouds directly affect our characterization. Overall, retrievals that use physically motivated models for the H2O profile and clouds perform better on the empirical Earth data. For observations of Earth with LIFE, they yield accurate estimates for the radius, pressure–temperature structure, and the abundances of CO2, H2O, and O3. Further, at R = 100, a reliable and bias-free detection of the biosignature CH4 becomes feasible. We conclude that the community must use a diverse range of models for temperate exoplanet atmospheres to build an understanding of how different retrieval assumptions can affect the interpretation of exoplanet spectra. This will enable the characterization of distant habitable worlds and the search for life with future space-based instruments.
Synchrotron-driven Instabilities in Relativistic Plasmas of Arbitrary Opacity
Authors: Ochs Ian E.
Published: October 2024

Recent work has shown that synchrotron emission from relativistic plasmas leads the electron distribution to form an anisotropic ring in momentum space, which can be unstable to both kinetic and hydrodynamic instabilities. Fundamental to these works was the assumption that the plasma was optically thin, allowing all emitted radiation to escape. Here, we examine the behavior of these instabilities as the plasma becomes more optically thick. To do this, we extend a recently developed Fokker–Planck operator for synchrotron emission and absorption in mildly relativistic plasmas to ultrarelativistic plasmas. For a given set of plasma parameters, photons emitted by higher-energy electrons tend to be higher frequency, and thus more easily escape the plasma. As a result, the ratio of the photon emission rate (radiative drag) to absorption rate (radiative diffusion) for a given electron is extremely energy dependent. Given this behavior, we determine the critical parameters that control the opacity, and show how the plasma gradually transitions to become more isotropic and stable at higher opacity.
A Potential Dynamical Origin of the Galactic Disk Warp: The Gaia–Sausage–Enceladus Major Merger
Authors: Deng Mingji , Du Cuihua , Yang Yanbin , Liao Jiwei , Ye Dashuang
Published: October 2024

Previous studies have revealed that the Galactic warp is a long-lived, nonsteady, and asymmetric structure. There is a need for a model that accounts for the warp’s long-term evolution. Given that this structure has persisted for over 5 Gyr, its timeline may coincide with the completion of the Gaia–Sausage–Enceladus (GSE) merger. Recent studies indicate that the GSE, the significant merger of our Galaxy, was likely a gas-rich merger and the large amount of gas introduced could have created a profound impact on the Galactic morphology. This study utilizes GIZMO simulation code to construct a gas-rich GSE merger. By reconstructing the observed characteristics of the GSE, we successfully reproduce the disk warp and capture nearly all of its documented features, which align closely with observational data from both stellar and gas disks. This simulation demonstrates the possibility that a single major merger could generate the Galactic warp amplitude and precession. Furthermore, the analysis of the warp’s long-term evolution may offer more clues into the formation history of the Milky Way.
Derrière l’idda à Ankara : un délai discriminatoire imposé aux femmes turques désireuses de se remarier
Authors: Charruau Jimmy
Published: October 2024

Par un arrêt du 27 juin 2023, la Cour européenne des droits de l’homme condamne la Turquie sur le fondement des articles 8 et 14 de la Convention pour avoir maintenu dans son ordre juridique un délai de viduité pour les femmes veuves ou divorcées avant de pouvoir contracter un nouveau mariage. Le contrôle exercé par les juges rend compte d’une confrontation entre une conception paternaliste défendue par le gouvernement turc et une conception libérale de la société développée par la Cour, qu’elle n’assume toutefois pas entièrement.
Une leçon de réalisme pour le Conseil d’État
Authors: Benezech Ludovic
Published: October 2024

Dans un arrêt remarqué, Legros c. France , la Cour européenne des droits de l’homme juge notamment que l’application rétroactive des nouvelles règles de recours contentieux issues de la jurisprudence Czabaj du Conseil d’État français a porté une atteinte excessive au droit d’accès à un tribunal. Soucieuse comme à son habitude d’une approche pragmatique, la Cour européenne sanctionne la construction jurisprudentielle intransigeante du juge administratif français.
The mediating role of mathematical literacy in first-year educational outcomes in Business Administration and Management degrees: A gender-based analysis
Authors: Galván-Sánchez Inmaculada , López-Puig Alexis J. , Fernández-Monroy Margarita , González-Betancor Sara M.
Published: October 2024

In the field of higher education, the transition from secondary to tertiary education is crucial to reduce dropout rates and to improve the educational outcomes. This study aims to investigate various predictors that affect the academic performance of first-year Business Administration and Management (BAM) students, thereby emphasizing the importance of mathematical literacy. Using a structural equation modeling approach, this investigation looks beyond gender to include baccalaureate choices such as the mathematics pathway and the mathematics entrance exam grades. This study adopts a comprehensive approach by using administrative data from a public university in an outermost region with economic resources and academic performance below the national average. Starting with bivariate descriptive analyses, it moves on to multivariate analyses through structural equation models, thereby examining the joint correlation of variables related to mathematical literacy with the construct 'academic success' in the first year of BAM. The results reveal a dual mediating effect on women's academic success through the chosen mathematics pathway and the grades obtained in the mathematics entrance examination. The study demonstrates a significant correlation between mathematical literacy and academic success in the first year of the BAM degree, both in the subjects with a mathematical component and in those with a higher theoretical component, thus highlighting statistical gender differences. These findings underscore the need for a broader focus beyond gender, including baccalaureate choices in the analysis, to improve the predictions and interventions aimed at enhancing academic success in BAM programs.
Dark and bright soliton phenomena of the generalized time-space fractional equation with gas bubbles
Authors: Almusawa Musawa Yahya , Almusawa Hassan
Published: October 2024

The objective of this work is to provide the method of getting the closed-form solitary wave solution of the fractional $ (3+1) $-generalized nonlinear wave equation that characterizes the behavior of liquids with gas bubbles. The same phenomena are evident in science, engineering, and even in the field of physics. This is done by employing the Riccati-Bernoulli sub-ode in a systematic manner as applied to the Bäcklund transformation in the study of this model. New soliton solutions, in the forms of soliton, are derived in the hyperbolic and trigonometric functions. The used software is the computational software Maple, which makes it possible to perform all the necessary calculations and the check of given solutions. The result of such calculations is graphical illustrations of the steady-state characteristics of the system and its dynamics concerning waves and the inter-relationships between the parameters. Moreover, the contour plots and the three-dimensional figures describe the essential features, helping readers understand the physical nature of the model introduced in this work.
Amazon, Google and the Manufacturing Sector Industry 4.0 as a New Battlefield for Intellectual Monopoly Companies
Authors: Coutinet Nathalie , Flacher David
Published: October 2024

The literature has discussed the intellectual monopoly power of big tech companies in the services sectors but it still did not catch the potential impact of these big tech companies on the manufacturing sector. The article develops an original contribution by analysing the potential impact of big tech companies which cater not only to the needs of consumers but also to those of businesses, through cloud platforms and direct investment in manufacturing activities. From the analysis of Amazon and Google, the article shows that these platforms increasingly target the manufacturing sector, by patenting more innovations in the field of “Industry 4.0”, by creating or acquiring companies in the field and by offering them cloud services. It concludes by discussing the specificities, consequences and research perspectives associated to the development of these “pansectoral intellectual monopolies”.JEL classification: L12, L16, L22, L60, O34, P12.
Une trame communale immuable ? La nécessaire géohistoire des communes françaises (1800-2024)
Authors: Bideau Gabriel , Verdier Nicolas
Published: October 2024

Les communes constituent la plus petite des mailles de l’administration territoriale française depuis la Révolution. Ces entités sont également les plus nombreuses. L’évolution de ce maillage est peu connue. Cet article propose une approche spatialisée de l’évolution du nombre de communes françaises. Les données exploitées sont extraites de la base dite "Cassini" qui est ici présentée, tout en pointant ses limites. L’article analyse tout d’abord les rythmes de l’évolution du nombre de communes françaises. On note trois périodes de diminution rapide du nombre de communes : 1800-années 1830, années 1960-1970 et années 2010. Chaque période présente une géographie spécifique, qui invite à penser le département comme un cadre pertinent pour penser l’échelon communal, en raison du rôle que joue l’administration déconcentrée de l’État et particulièrement le préfet. Partant de ce constat, l’article propose une typologie des départements du point de vue de l’évolution du nombre de communes.
Les présences animalières dans Les Cerfs et Peau de Louve de Veronika Mabardi
Authors: Czerska Karolina
Published: October 2024

L’article rend compte des stratégies d’écriture mises en œuvre par Veronika Mabardi dans son roman Les Cerfs et son conte Peau de louve quant à la présence d’animaux sauvages dans la fable. Dans chacun de deux textes, les animaux, d’une façon soit distanciée, soit très directe, assistent aux métamorphoses de la jeune protagoniste : Blanche pour Les Cerfs et Muriel pour Peau de louve. Les présences animalières sont tissées par l’écrivaine selon différentes modalités, ce qui semble correspondre à la complexité des relations humaines ; les deux univers ont des points communs dans la vision proposée par Mabardi.
Les migrations au Maroc et au Maghreb dans le catalogue de la Fondation du Roi Abdul Aziz Al Saoud
Authors: Filippone Catherine
Published: October 2024

Créée et ouverte au public en 1985, la Fondation du Roi Abdul Aziz Al Saoud est une institution privée, constituée sous forme d’une association de droit marocain, dotée de la personnalité morale et déclarée d’utilité publique. Elle est l’œuvre d’un mécène, Abdullah Ibn Abdul-Aziz, prince héritier d’Arabie Saoudite.
Le parcours d’une centaine de mineurs isolés roumains suivis par l’association Hors La Rue et pris en charge par l’aide sociale à l’enfance de Paris
Authors: Bigot Régis
Published: October 2024

À partir de la fin des années 1990, l’opinion publique a commencé à s’émouvoir de la présence, dans les rues de ses grandes villes, d’enfants isolés — sans référents parentaux — d’origine étrangère. En provenance de plusieurs continents (Asie, Afrique et Europe principalement). Une partie de ces mineurs isolés étrangers — notamment ceux d’origine roumaine — se sont retrouvés à errer dans les rues, à dormir dans des squats ou dans des gares, et à vivre d’expédients (vol, mendicité, travail au noir, prostitution). Dès 2002, l’association Hors La Rue a mis en place un programme de repérage et de soutien aux mineurs isolés étrangers. Ce programme a été créé spécifiquement pour répondre au problème posé par les enfants roumains. Historiquement, l’association avait en effet développé une connaissance de la culture roumaine et de l’aide aux enfants des rues.
Mobilité d’enfants isolés d’origine camerounaise en Ile-de-France : des pratiques traditionnelles locales aux mutations en migration
Authors: Kandem Pierre
Published: October 2024

Au regard du durcissement des politiques d’immigration en vigueur actuellement dans les pays du Nord, on assiste progressivement à une nouvelle forme d’immigration impliquant de plus en plus des mineurs isolés. Alors que ce phénomène concerne majoritairement certains types de pays bien souvent anciennement ancrés de manière institutionnelle ou grâce à la proximité géographique dans les dynamiques migratoires à destination des pays d’accueil, de nouveaux pays d’immigration émergent dans ce champ à l’instar du Cameroun.
Edible Energy Harvesting
Authors: Das Dipan Kumar , Patnaik Padmaja , Das Sudip Kumar , Barala Mandakini , Nayak Nibedita
Published: October 2024

Edible energy harvesting merges food science, biotechnology, and engineering to convert chemical energy from safe, ingestible substances into electrical power. This chapter explores the evolution of energy harvesting technologies, focusing on advancements in materials science and biocompatible electronics. It discusses the significance of edible energy harvesting in medical devices, sustainable technologies, and IoT applications. Safety and ethical considerations, along with recent innovations in fabrication techniques and regulatory frameworks, are analyzed. The chapter concludes with prospects for integrating energy harvesting components into food and addressing challenges for broader adoption in healthcare and environmental sustainability. Ethical and environmental considerations, including safety and biocompatibility, are crucial in advancing these technologies. The chapter also discusses challenges such as regulatory compliance and environmental impact mitigation, highlighting the pathway for future developments in edible energy harvesting.
Quantum Cryptography-Enhanced Cyber Security Intrusion Detection System APTs Attacks in Blockchain
Authors: G. A. Senthil , Prabha R. , Priyanga P. , Sridevi S.
Published: October 2024

The novel proposed in this paper aims to revolutionize cybersecurity within Blockchain systems by integrating Quantum Cryptography with federated deep reinforcement learning intrusion detection systems (IDPS). This pioneering fusion of cutting-edge technologies offers a multifaceted defense mechanism against advanced persistent threats (APTs) while preserving the decentralized nature of Blockchain networks. Complementing Quantum Cryptography, federated deep reinforcement learning enhances cybersecurity by deploying AI-driven intrusion detection systems across decentralized Blockchain nodes. This decentralized learning paradigm empowers Blockchain networks to adapt dynamically to evolving cyber threats, ensuring timely and effective responses to malicious activities. Quantum Cryptography and federated deep reinforcement learning, the proposed framework defines strategy against sophisticated cyber-attacks, bolstering the resilience of Blockchain systems. Markov Decision Process is the reinforcement learning algorithm used in the proposed system that detects cyber-attacks and threats.
Enhancing Library Services With Blockchain Technology, Data Analytics, and User Insights
Authors: Meena Preethi B. , Gokul Saminathan , Parameshvar M. , Dharshini B.
Published: October 2024

This book chapter explores the evolving landscape of library operations in the digital age, emphasizing blockchain technology to enhance service delivery and user experiences. It details how libraries use blockchain techniques like smart contracts, decentralized ledgers, and tokenization to gain insights from circulation records, usage statistics, and user feedback. The chapter highlights the importance of user insights from surveys, focus groups, and usability testing in service enhancement. Through case studies, it shows how blockchain and user insights inform decisions in collection development, resource allocation, space planning, and personalized services. Additionally, the chapter discusses trends in library blockchain applications, including decentralized identity management, secure data sharing, open data initiatives, and ethical considerations. Ultimately, it emphasizes blockchain's transformative potential in libraries, urging adaptation and innovation to stay relevant and responsive to patrons' needs.
Securing Library Data With Blockchain Advantage
Authors: Ramkumar Jaganathan , Karthikeyan Rajendran , Nitish Kumar Ohja
Published: October 2024

Blockchain technology is poised to revolutionize library operations by offering solutions to enhance data security, streamline transactions, and ensure transparency. This chapter explores the multifaceted applications of blockchain in libraries, focusing on managing digital collections, implementing smart contracts for automated transactions, and optimizing interlibrary loan systems. By leveraging blockchain's decentralized ledger and smart contract capabilities, libraries can improve the integrity of cataloging and metadata management, protect patron privacy through secure authentication mechanisms, and automate complex workflows with increased efficiency. However, the adoption of blockchain faces challenges such as technical complexity, financial feasibility, and compliance with legal and ethical standards. Addressing these challenges requires collaboration, pilot testing, and continuous adaptation of policies to ensure responsible implementation.
Leveraging Blockchain for Enhanced User Authentication and Privacy
Authors: Varadarajan Mageshkumar Naarayanasamy , N. Rajkumar , C. Viji , Mohanraj A. , Karthikeyan N. , Nagarajan G.
Published: October 2024

User Authentication and Privacy explores the application of blockchain technology in enhancing user authentication and protecting user privacy within library systems. The decentralized and immutable nature of blockchain provides a robust alternative to traditional centralized authentication methods, which are often vulnerable to breaches and unauthorized access. By utilizing blockchain, libraries can implement a secure and transparent system for verifying user identities, significantly reducing the risk of data tampering and unauthorized access. This study delves into the specifics of how blockchain can safeguard user data, ensuring confidentiality and integrity. Additionally, the use of blockchain for identity management in libraries is examined, demonstrating its potential to offer a streamlined, tamper-proof, and trustless environment for identity verification. Blockchain's ability to enhance data security and protect user privacy makes it an ideal solution for modernizing library management systems.