bluuebunny/crossref_metadata_2025 huggingface dataset:
AFGAN GÖÇMENLERİN EĞİTİME ERİŞİMDE KARŞILAŞTIKLARI SORUNLAR: VAN VE MEŞHED ÖRNEĞİ
Authors: YILMAZ ASLAN Hatice
Published: October 2023

Eğitim, her toplumun gelişmesinde ve ilerlemesinde önemli bir faktördür. Ancak göçmenler için eğitim, birçok sorunla karşılaşılan önemli bir konudur. Göç eden insanların kentsel uyum sorunu yaşamalarında eğitim seviyesinin düşüklüğü büyük bir rol oynamaktadır. Göçmenler, göç ettikleri ülkenin dilini ve kültürünü öğrenmekte zorlanabilmektedirler. Ayrıca göçmen çocuklarının okula gitmesi, öğrenim hayatlarını sürdürebilmeleri de göçmenler için zorluklarla dolu bir süreç olmaktadır. Göçmenlerin eğitimde en çok yaşadığı sorunlar dil bariyeri, kültür farklılıkları, önyargılar ve finansal zorluklardır. Göç edenler, varış ülkelerinin dilini genelde bilmedikleri eğitim sistemi içinde başarısızlık ve uyum sorunlarına neden olabilmektedir. Kültür farklılıkları da göçmenlerin eğitim sürecinde karşılaştığı diğer bir sorundur. Göçmenlerin yeni ülkenin kültürüne uyum sağlaması ve kendilerini buna adapte etmeleri gerekmektedir. Bu süreç, özellikle farklı kültürler arasındaki çatışmalara sebebiyet vermektedir.

Bu çalışmada Afgan göçmenlerin en fazla göç ettiği ülkelerdeki şehirlerden olan Van ve Meşhed şehirlerinde göçmenlerin kentsel uyum süreçlerinde eğitime erişimleri noktasında karşılaştıkları problemler karşılaştırmalı olarak incelenmiştir. Çalışmamızda her iki kentteki ilköğretim ve lise öğrencilerinin okul ve eğitim süreçlerinde karşılaştıkları eğitim ve uyum problemleri, ilgili sorular çerçevesinde elde edilen veriler ışığında detaylı bir şekilde analiz edilmiştir. Tez çalışmamızda yaş sınırı olduğundan 17 yaş altı çocukların eğitim sorunları ailelerle yapılan derinlemesine görüşmeler çerçevesinde elde edilmiştir. 17 ve üstü öğrencilerle bizzat görüşülmüştür. Göçmenlerin özellikle sosyal ve kültürel olarak karşılaştıkları problemleri eğitimde de (özellikle Meşhed Kentinde) fazlasıyla yaşadıkları görülmüştür. Ayrıca yine finansal ve dil sorunu da eğitim konusunda karşılaşılan en önemli problemler olarak karşımıza çıkmıştır. Önyargılar ve ayrımcılık da göçmenlerin eğitimde karşılaştığı sorunlar arasındadır. Bu durum, okulda sosyal izolasyona ve dışlanmaya neden olabilmektedir.
PENGARUH KERJASAMA TIM DAN KOMUNIKASI TERHADAP KINERJA KARYAWAN PT KERETA API INDONESIA (PERSERO) DIVISI REGIONAL IV TANJUNG KARANG
Authors: Fristky Delitha Inkia , Suwarni Emi
Published: October 2023

Penelitian ini bertujuan untuk mengeksplorasi pengaruh positif kerja tim dan komunikasi yang efektif terhadap performa karyawan di PT. KAI Departemen Regional 4 Tanjung Karang. Dengan menggunakan metode kuantitatif, kami mengambil sampel dari 86 karyawan dan mengumpulkan data melalui kuesioner yang menilai tingkat kerja tim, efektivitas komunikasi, dan performa karyawan. Hasil analisis regresi linear berganda menegaskan bahwa baik kerja tim maupun komunikasi yang lancar memiliki dampak positif dan signifikan pada performa karyawan. Hal ini menggarisbawahi pentingnya sinergi antara elemen-elemen ini dalam meningkatkan produktivitas dan pencapaian tujuan organisasi. Oleh karena itu, penelitian ini memberikan wawasan mendalam tentang bagaimana manajemen perusahaan dapat meningkatkan produktivitas dan performa karyawan dengan memperkuat kerja tim dan komunikasi internal. Meskipun penelitian ini telah memberikan pemahaman yang lebih baik tentang hubungan ini, penelitian mendatang dapat lebih komprehensif dengan mempertimbangkan faktor tambahan dan melibatkan sampel yang lebih besar.
Influence of strength and balance ability on functional performance in the involved and uninvolved sides after anterior cruciate ligament reconstruction
Authors: Kim Jin Seong , Hwang Ui Jae , Chung Kyu Sung , Yi Chung Hwi , Choi Woochol Joseph , Kwon Oh Yun
Published: October 2023

BACKGROUND: The restoration and management of the uninvolved side have been emphasized to prevent a second anterior cruciate ligament (ACL) injury and to ensure that athletes return to sports after ACL reconstruction. OBJECTIVE: To determine the factors influencing the single leg hop test (SLHT) and single leg vertical jump test (SLVJT) at 1 year postoperatively after ACL reconstruction in both the involved and uninvolved sides. METHODS: Ninety-four patients who underwent ACL reconstruction were assessed at 1 year postoperatively. Multiple regression models included eight independent variables with two dependent variables (SLHT and SLVJT.), each on the involved and uninvolved side. RESULTS: On the involved side, the Y balance test (YBT), extensor peak torque per body weight (PT/BW), Biodex balance system anteroposterior index (BBS-API), and sex accounted for 53.9% of the variance in SLHT (P= 0.002), and extensor PT/BW and YBT accounted for 26.3% of the variance in SLVJT (P= 0.027). On the uninvolved side, YBT, sex, age, BBS-API, and flexor PT/BW accounted for 47.0% of the variance in SLHT (P= 0.046), and flexor PT/BW, YBT, and age accounted for 44.9% of the variance in SLVJT (P= 0.002). CONCLUSION: Knee extensor strength on the involved side and flexor strength on the uninvolved side influence the two functional performance tests. The YBT was an important factor in the two functional performance tests in both sides. Anteroposterior stability was the only factor that influenced the SLHT bilaterally.
Using multi-channel near-infrared spectroscopy to assess the effect of cupping therapy on the spatial hemodynamic response of the biceps muscle: A preliminary study
Authors: Li Yameng , Mo Pu-Chun , Peng Fang , Guo Jiaqi , Sheng Zhongzhen , Lyu Shaojun , Jan Yih-Kuen
Published: October 2023

BACKGROUND: The local hemodynamic response after cupping therapy has been considered as a contributing factor for improving muscle tissue health; however, the effects of cupping pressure and duration on the spatial hemodynamic response have not been investigated. OBJECTIVE: The objective of this study was to investigate the hemodynamic response inside and outside the cupping cup under various pressures and durations of cupping therapy. METHODS: A 3-way factorial design with repeated measures was used to investigate the main and interaction effects of the location (areas inside and outside the cup), pressure (-225 and -300 mmHg) and duration (5 and 10 min) on the hemodynamic response of the biceps muscle. A functional near-infrared spectroscopy was used to assess hemodynamic changes in 18 participants. RESULTS: A significant three-way interaction of the location, pressure, and duration factors was observed in oxyhemoglobin (p= 0.023), deoxy-hemoglobin (p= 0.013), and blood volume (p= 0.013). A significant increase was observed in oxyhemoglobin, blood volume, and oxygenation compared to pre-cupping (p< 0.05) in the area outside the cup. CONCLUSION: Our findings indicate that an appropriate combination of cupping pressure and duration can effectively affect the spatial hemodynamic response of the biceps.
Enumerations of families closed under finite differences
Authors: Greenberg Noam , Harrison-Trainor Matthew , Miller Joseph S. , Turetsky Dan
Published: October 2023

Slaman and Wehner independently built a family of sets with the property that every non-computable degree can compute an enumeration of the family, but there is no computable enumeration of the family. We call such a family a Slaman–Wehner family. The original Slaman–Wehner argument relies on all sets in the family constructed being finite, and in particular, it diagonalizes against computably enumerated families using only finite differences. In this paper we ask whether this is a necessary feature, that is, whether there is a Slaman–Wehner family closed under finite differences. This question remains open but we obtain a number of interesting partial results which can be interpreted as saying that the question is quite hard.

First of all, no Slaman–Wehner family closed under finite differences can contain a finite set, and the enumeration of the family from a non-computable degree cannot be uniform (whereas, in the Slaman–Wehner construction, it is uniform). On the other hand, we build the following examples of families closed under finite differences which show the impossibility of several natural attempts to show that no Slaman–Wehner family exists: (1) a family that can be enumerated by every non-low degree, but not by any low degree; (2) a family that can be enumerated by any set in a given uniform list of c.e. sets, but which cannot be enumerated computably; and (3) a family that can be enumerated by a given [Formula: see text] set, but which cannot be computably enumerated.
Methods for Efficient Unfolding of Colored Petri Nets
Authors: Bilgram Alexander , Jensen Peter G. , Pedersen Thomas , Srba Jiří , Taankvist Peter H.
Published: October 2023

Colored Petri nets offer a compact and user friendly representation of the traditional Place/Transition (P/T) nets and colored nets with finite color ranges can be unfolded into the underlying P/T nets, however, at the expense of an exponential explosion in size. We present two novel techniques based on static analysis in order to reduce the size of unfolded colored nets. The first method identifies colors that behave equivalently and groups them into equivalence classes, potentially reducing the number of used colors. The second method overapproximates the sets of colors that can appear in places and excludes colors that can never be present in a given place. Both methods are complementary and the combined approach allows us to significantly reduce the size of multiple colored Petri nets from the Model Checking Contest benchmark. We compare the performance of our unfolder with state-of-the-art techniques implemented in the tools MCC, Spike and ITS-Tools, and while our approach is competitive w.r.t. unfolding time, it also outperforms the existing approaches both in the size of unfolded nets as well as in the number of answered model checking queries from the 2021 Model Checking Contest.
Heterogeneous information fusion based graph collaborative filtering recommendation
Authors: Mu Ruihui , Zeng Xiaoqin , Zhang Jiying
Published: October 2023

Nowadays, with the application of 5G, graph-based recommendation algorithms have become a research hotspot. Graph neural networks encode the graph structure information in the node representation through an iterative neighbor aggregation method, which can effectively alleviate the problem of data sparsity. In addition, more and more information graph can be used in collaborative filtering recommendation, such as user social information graph, user or item attributed information graph, etc. In this paper, we propose a novel heterogeneous information fusion based graph collaborative filtering method, which models graph data from different heterogeneous graph, and combines them together to enhance presentation learning. Through information propagation and aggregation, our model can learn the latent embeddings effectively and enhance the performance of recommendation. Experimental results on different datasets validate the outperformance of the proposed framework.
SARW: Similarity-Aware Random Walk for GCN
Authors: Hou Linlin , Zhang Haixiang , Hou Qing-Hu , Guo Alan J.X. , Wu Ou , Yu Ting , Zhang Ji
Published: October 2023

Graph Convolutional Network (GCN) is an important method for learning graph representations of nodes. For large-scale graphs, the GCN could meet with the neighborhood expansion phenomenon, which makes the model complexity high and the training time long. An efficient solution is to adopt graph sampling techniques, such as node sampling and random walk sampling. However, the existing sampling methods still suffer from aggregating too many neighbor nodes and ignoring node feature information. Therefore, in this paper, we propose a new subgraph sampling method, namely, Similarity-Aware Random Walk (SARW), for GCN with large-scale graphs. A novel similarity index between two adjacent nodes is proposed, describing the relationship of nodes with their neighbors. Then, we design a sampling probability expression between adjacent nodes using node feature information, degree information, neighbor set information, etc. Moreover, we prove the unbiasedness of the SARW-based GCN model for node representations. The simplified version of SARW (SSARW) has a much smaller variance, which indicates the effectiveness of our subgraph sampling method in large-scale graphs for GCN learning. Experiments on six datasets show our method achieves superior performance over the state-of-the-art graph sampling approaches for the large-scale graph node classification task.
HSNF: Hybrid sampling with two-step noise filtering for imbalanced data classification
Authors: Duan Lilong , Xue Wei , Gu Xiaolei , Luo Xiao , He Yongsheng
Published: October 2023

Imbalanced data classification has received much attention in machine learning, and many oversampling methods exist to solve this problem. However, these methods may suffer from insufficient noise filtering, overlap between synthetic and original samples, etc., resulting in degradation of classification performance. To this end, we propose a hybrid sampling with two-step noise filtering (HSNF) method in this paper, which consists of three modules. In the first module, HSNF denoises twice according to different noise discrimination mechanisms. Note that denoising mechanism is essentially based on the Euclidean distance between samples. Then in the second module, the minority class samples are divided into two categories, boundary samples and safe samples, respectively, and a portion of the boundary majority class samples are removed. In the third module, different oversampling methods are used to synthesize instances for boundary minority class samples and safe minority class samples. Experimental results on synthetic data and benchmark datasets demonstrate the effectiveness of HSNF in comparison with several popular methods. The code of HSNF will be released.
Ordination-based verification of feature selection in pattern evolution research
Authors: Hosszú Gábor
Published: October 2023

This article explains the idea of pattern systems that develop gradually. These systems involve symbolic communication that includes symbols, syntax, and layout rules. Some pattern systems change over time, like historical scripts. The scientific study of pattern systems is called pattern evolution research, and scriptinformatics is concerned with the modelling of the evolution of scripts. The symbol series consists of symbols from a pattern system, while the graph sequence is a symbol sequence applied with a specific technology. This article describes a method for examining tested pattern systems to confirm their classification, which focuses on more ancient features. The method’s effectiveness was tested on Rovash scripts and graph sequences. Multivariate analysis was carried out by using PAST4 software, employing principal coordinates analysis ordination and k-means clustering algorithms.
Energy efficiency of cache collaboration in core content distribution networks
Authors: Osman Niemah Izzeldin
Published: October 2023

With escalating demands for high-definition video, cache collaboration allows neighbor nodes to share locally stored content in order to reduce download traffic. High energy consumption associated with content delivery remains a concern for Content Distribution Networks (CDNs). Therefore, this paper proposes cluster-based collaborative caching in a core network employing IP over WDM. The aim is to allow sets of core caches to fully share content while minimizing power. A Mixed Integer Linear Programming (MILP) model is used to form energy-efficient cache clusters. The energy consumption of the network is evaluated under different cluster sizes to find the optimum size that minimizes energy. To evaluate the influence of content popularity distribution, a heavy-tailed Zipf distribution and an Equal popularity distribution are evaluated. In addition, the work investigates the influence of downlink traffic behavior and power consumption parameters on optimum cluster sizes. Attained results reveal that maximum savings in energy consumption introduced by cluster-based collaborative caching are up to 34.3% and 21.8% under the Zipf and Equal distribution, respectively. Cache collaboration is not recommended when all core nodes contain fully replicated content servers. Results also show that power consumption parameters do not influence cluster formation. It is recommended keeping cache collaboration in the core network simple, so as to reduce intra-cluster communication.
Smart city design plan selection through single-valued neutrosophic probabilistic hesitant fuzzy rough aggregation information
Authors: Kamran Muhammad , Ashraf Shahzaib , Salamat Nadeem , Naeem Muhammad , Hameed Muhammad Shazib
Published: October 2023

One of the hottest areas for applying the solutions currently available is the internet of things-based smart housing society architecture and its uncertainty analysis. When intelligent parking, waste management, public transportation, public safety, and other automatic methods for housing society’s growth were implemented, it became even more crucial. An intelligent, smart system is necessary to manage these problems and provide smooth services. Additionally, it will be helpful in reducing issues with time waste and societal safety. However, the issue comes up when describing accurate, approximate, or questionable parking, transit, safety, and waste management areas. This paper discusses several mathematical solutions for the smart housing society that use fuzzy rough sets, probabilistic hesitant fuzzy sets, and their extensions with neutrosophic sets. For further growth, a few studies on the graphic display of the evolution of the smart housing society are also considered. The rough set theory can be useful when dealing with imprecise, incomplete, or indeterminate data sets. The core contribution of this work is the construction of a novel generalized notion of a single-valued neutrosophic probabilistic hesitant fuzzy rough set (SV-NPHFRS), which is a hybrid structure of the single-valued neutrosophic set, the probabilistic hesitant fuzzy set, and the rough set. In contrast to the present literature, the underlying idea of SV-NPHFRS is that it is a powerful mathematical tool for managing uncertainty and imperfect information. This method is particularly beneficial when there are a number of competing criteria to consider. The aggregation technique plays an important role in decision-making concerns, especially when more competing criteria are present. In the study’s comparison phase, the suggested decision support system is compared to relevant existing approaches. The results suggest that, in terms of choice flexibility, the suggested technique has the potential to outperform the drawbacks of the current decision-making tools. The proposed study is expected to be useful for a number of researchers conducting future work on housing societies, waste management, public safety diagnostics, and hybridization.
Fake news detection using knowledge graph and graph convolutional network
Authors: Nguyen Vy Duong Kim , Do Phuc
Published: October 2023

People will increasingly get expedited and diverse means of accessing news as societies progress. Furthermore, there is a noticeable increase in the prevalence of incorrect and misleading information. Our research is motivated by the significant concerns regarding the detrimental impacts of disinformation on the general public, political stability, and trust in the media. The scarcity of Vietnamese-language datasets can be attributed to the predominant focus of false news detection studies on datasets only in English. Detection investigations of fake news have predominantly relied on supervised machine learning algorithms, which possess notable limitations when confronted with unclassified news articles that are either authentic or untrue. The utilization of Knowledge Graphs (KG) and Graph Convolutional Networks (GCN) holds promise in addressing the constraints of supervised machine learning algorithms. To address these problems, we propose an approach that integrates KG)into the procedure for detecting fake news. We utilize the Vietnamese Fake News Detection dataset (VFND-vietnamese-fake-news), comprising authentic and deceptive news articles from reputable Vietnamese newspapers such as vnexpress, tuoitre, and have been collected from 2018 to 2023. News articles are only labeled as real or fake after experiencing independent verification. The Glove embedding (Global Vectors for Word Representation) is employed to establish a knowledge network for the given dataset. This knowledge graph’s construction is accomplished using the Word Mover’s Distance (WMD) algorithm in conjunction with the K-nearest neighbor approach; GCN approach and the input KG train models to discern between real and fake news. With labeling half of the input dataset, the experimental findings indicate a notable level of accuracy, reaching up to 85%. Our research holds significant importance in identifying fake news, particularly within the context of the Vietnamese language.
Multi-view weighted feature fusion with wavelet transform and CNN for enhanced CT image recognition
Authors: Zhou Zilong , Yu Yue , Song Chaoyang , Liu Zhen , Shi Manman , Zhang Jingxiang
Published: October 2023

Reducing noise in CT images and extracting key features are crucial for improving the accuracy of medical diagnoses, but it remains a challenging problem due to the complex characteristics of CT images and the limitations of existing methods. It is worth noting that multiple views can provide a richer representation of information compared to a single view, and the unique advantages of the wavelet transform in feature analysis. In this study, a novel Multi-View Weighted Feature Fusion algorithm called MVWF is proposed to address the challenge of enhancing CT image recognition utilizing wavelet transform and convolutional neural networks. In the proposed approach, the wavelet transform is employed to extract both detailed and primary features of CT images from two views, including high frequency and low frequency. To mitigate information loss, the source domain is also considered as a view within the multi-view structure. Furthermore, AlexNet is deployed to extract deeper features from the multi-view structure. Additionally, the MVWF algorithm introduces a balance factor to account for both specific information and global information in CT images. To accentuate significant multi-view features and reduce feature dimensionality, random forest is used to assess feature importance followed by weighted fusion. Finally, CT image recognition is accomplished using the SVM classifier. The performance of the MVWF algorithm has been compared with classical multi-view algorithms and common single-view methods on COVID-CT and SARS-COV-2 datasets. The experimental results indicate that an average improvement of 6.8% in CT image recognition accuracy can be achieved by utilizing the proposed algorithm. Particularly, the MVF algorithm and MVWF algorithm have attained AUC values of 0.9972 and 0.9982, respectively, under the SARS-COV-2 dataset, demonstrating outstanding recognition performance. The proposed algorithms can capture more robust and comprehensive high-quality feature representation by considering feature correlations across views and feature importance based on Multi-view.
Efficient octagonal compression of multimedia data using using LZW-OMCA compressor for secured data transmission
Authors: Sreelatha Tammineni , Maheswari M. , Ravi G. , Manikanda Devarajan N. , Arun M.
Published: October 2023

Data compression is the ancestor of image compression, which uses fewer bits to represent the same picture. It is categorised as lossy or lossless depending on the quality required. In a lossless compression situation, no information is lost during the decompression process. Data loss is possible with the lossy technique since it is not reversible. In an effort to boost compression efficiency while maintaining a high xiv reconstruction quality of picture, near lossless approaches have evolved. The medical pictures consist of a large number of items, each of which may be described in detail and utilised for a variety of purposes. The clinically relevant item in 2D medical pictures is referred to as the Region of Interest (ROI), whereas in 3D images, it is referred to as the Volume of Interest (VOI). Saving energy is crucial since it is one of the most limited resources in these networks. However, DTN has an additional difficulty since communication between nodes is maintained so long as they are in physical proximity to one another. However, because to the nodes’ mobility, this may not be long enough to provide the necessary multimedia data transmission. Wireless networks are susceptible to security assaults, and traditional security solutions are computationally demanding, making them unsuitable for networks that constantly need to recharge their batteries. All of these are reasons for tackling the problems of multimedia data processing and transmission via wireless networks in this dissertation. With this in mind, it has been attempted to investigate low-overhead and safe multimedia data compression as a solution to the issue that energy-constrained nodes in these networks limit complex multimedia processing while keeping at least basic security features. LZW-OMCA compression using the Octagonal Multimedia Compression Algorithm is part of the suggested method. The purpose of this is to improve the compression ratio. The proposed approach uses a little bit of crypt to compress data, which makes the data unreadable to anybody except the intended receiver, hence providing network security. The previous proposed works analysed the performance of several compression algorithms applied to multimedia material. Performance assessment utilising MSE, SSIM, and other metrics are used to show the pros and cons of each segment.
Enhancing medical image analysis: A fusion of fully connected neural network classifier with CNN-VIT for improved retinal disease detection
Authors: Mannanuddin Khaja , Vimal V.R. , Srinivas Angalkuditi , Uma Mageswari S.D. , Mahendran G. , Ramya J. , Kumar Ashok , Das Pranjal , Vidhya R.G.
Published: October 2023

Diseases of the retina continue to be a leading cause of blindness and visual impairment around the world. In the field of medical image analysis, specifically retinal disease identification, deep learning techniques, such as Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have showed remarkable potential. In this paper, we present a unique method for detecting retinal diseases by combining the advantages of the Inception-V3, ResNet-50, and Vision Transformer architectures into a single model called a Cascade CNN-ViT. The suggested Cascade CNN-ViT model extracts local features from retinal pictures by leveraging the spatial hierarchy learning capabilities of Inception-V3 and ResNet-50. The Vision Transformer takes these regional characteristics and uses self-attention mechanisms to pick up global context information and long-range interdependence. The model successfully combines fine-grained local information with semantically significant global contextual cues by merging the output representations from the CNNs and Vision Transformer. undertaking comprehensive experiments on a large and varied dataset of multimodal retinal pictures to evaluate the performance of the proposed technique. Cascade CNN-ViT model outperforms standalone CNNs and Vision Transformers, as shown by the experimental findings. The model is also resilient across all classes of retinal diseases and is able to successfully deal with the complications introduced by using multiple picture types. Overall, the power of cascading Inception-V3, ResNet-50, and Vision Transformer topologies for improved retinal illness diagnosis has been demonstrated. Potentially improving the management of retinal illnesses and preserving visual health, the proposed approach could have important consequences for early detection and timely intervention.
Should we add antiplatelet agents to current deep venous thrombosis treatments? A Cochrane Review summary with commentary
Authors: Kiekens Carlotte , Cattadori Gaia
Published: October 2023

BACKGROUND: Venous thromboembolism (VTE) is an important complication in rehabilitation practice despite preventive measures. The management can be complicated because patients may have co-existing cardiovascular comorbidities. OBJECTIVE: To assess the effects of antiplatelet agents in addition to current best medical practice (BMP) compared to current BMP (with or without placebo) for the treatment of deep venous thrombosis (DVT). METHODS: A summary of the Cochrane Review by Flumignan et al. (2022), with comments from a rehabilitation perspective. RESULTS: The review included six studies with 1625 eligible participants, with data up to 37.2 months of follow-up. When used after standard initial treatment with anticoagulants, antiplatelet agents such as aspirin in addition to BMP, may reduce recurrence of DVT or pulmonary embolism, when compared to BMP plus placebo in a chronic DVT setting and there may be a lower risk for post-thrombotic syndrome in patients with acute DVT. There is no clear difference in side effects, major bleeding, or pulmonary embolism (PE) with the use of antiplatelet agents. CONCLUSION: Adding antiplatelet agents to standard anticoagulation treatment in patients with VTE could provide benefit without increasing risks in selected patient groups. However, high quality studies with a long-term follow up are needed, including patients in rehabilitation settings.
The aspect meaning of đang marker in Vietnamese (contrastive study to Mandarin Chinese)
Authors:   The Faculty of Linguistics, University of Social Sciences and Humanities, VNU-HCM, Vietnam, Luu Cam Thu Thi
Published: October 2023

Đang is a marker that denotes the typical imperfective meaning in Vietnamese. Vietnamese and Mandarin Chinese languages belong to the same isolating language typology, but the đang marker is not always translated into 在 or 着 marker in Mandarin Chinese. The results of the study shows that the đang marker can interact with individual level state situation, stage level state situation, activity situation, accomplishment situation, achievement situation and semelfactive situation. Based on the attributes of the situation, the đang marker possible to convey different aspect meanings. With each situation type, we also need to pay attention to their extended attributes. Accordingly, the aspect meaning of a situation is the summation of the meaning of the verb, the aspect marker, the situation type, and the surrounding arguments. In this article, to clarify the aspect meaning of the đang marker as well as equivalent means of translation in Mandarin Chinese, we proceed to collect corpus, describe, analyze and contrast this marker into Mandarin Chinese based on the semantic - syntax level. The contrastive study of aspectual markers has an important role in helping learners better understand the connection between the source language and the target language. Seeing the differences between the markers will help learners limit the negative transfer process in learning a foreign language.
The religious economics with the rational choice theory: effectiveness and limitations
Authors:   Center for Religious Studies (CERES) Central Academic Institution, Ruhr-Universität Bochum, Germany, Tran Le Thu  Anh , Tran Ky Dong ,   University of Social Sciences & Humanities, VNU-HCM, Vietnam
Published: October 2023

In the history of religious research, there have been many theories born to explain the maintenance and development of religion in the modern society, in which the most prominent and controversial ones are the secularization theory, functional differentiation theory, pluralist theory, and etc. When these theories have become outdated, religious researchers must seek new theories that are more suitable to analyze religious phenomena in the contemporary society. Hence, the religious economics emerges as a new alternative to the less convincing and old approaches. Based on the rational choice theory mostly applied in the field of economics, the main content of the religious economics is to consider religion as a real economic market in which religious believers choose to join religious organizations just as consumers select goods and services in the market. As a result, the theory of the religious economics predicts the development of religion in the contemporary society based on the performance of religious bodies and their connection with believers’ needs and desires in the religious market. By exploring the relations between religion and economy, as well as the basic arguments of the theory of the religious economics, this paper aims to scrutinize the effectiveness and limitations of this new theory.
Audience as constructivism discourses: Rethinking on the Media Audience Study
Authors:   Division of Information and Communication, VNUHCM, Vietnam, Vo Vu Anh
Published: October 2023

This article aims to analyze and interpret the following two basic contents. Firstly, we would examine the theoretical viewpoints on the use and gratification of Herta Herzog and Elihu Katz together with encoding/decoding theses of Stuart Hall, which are recognized by the scholastic world as the researches that paved ways for the study of Media Audience. The views of those theorists have led to the discourses on behavioral psychology and meaning construction of the audience in the interactions with the media. The mid-20th century findings have yielded the two research paradigms that focus on the public activism, as opposed to the assumptions of their passivity in the theoretical perspective of the effects study tradition. We evaluate these discourses in the context of the cold war, the Leftist movements, and the ideological innovations of the neo-Marxist school. Secondly, by assessing the two public discourses’ contributions, we will further consider the view of public ethnography and especially the trend of media constructionism. These are two theoretical tendencies in media public research that have taken place from the 1980s to the present. On the basis of the assessment of the strengths as well as the limitations of these tendencies, especially constructionism- a theoretical trend with the ambition to study the public in relation to the media production world, we will yield new claims about the Media Audience study theory.
China's soft power: three decades of acceptance, deployment, and transformation
Authors:   436 Dien Bien Phu, Ward 17, Binh Thanh District, HCMC, Vietnnam, Tran Thu Hoai
Published: October 2023

Since the Tiananmen incident on June 4, 1989, China has been likely to withdraw a lesson from its failure of using of hard power. In the early 1990s, when “soft power” was first introduced in China, the Chinese Communist Party gradually adopted this concept in order to create the image of a friendly China and a responsible member in international organizations to reassure as well as to lull its neighbors and the U.S. into a peacefully rising China. However, after nearly three decades of being imported and applied in China, the soft power has changed in nature and is no longer identical to the original concept coined by Joseph Nye in 1990. This paper analyzes the process and practice of China's soft power deployment in order to demonstrate that Beijing prefers to integrate elements of hard power into its soft power, thereby examining two new forms of power that have been coined recently to more accurately describe the nature of China’s soft power: smart power and sharp power. The article points out that the strategic motivation for China to exercise the soft power during the first two decades was to conceal its rising ambition as well as in line with the motto of “keeping a low profile” proposed by Deng Xiaoping, and during the latest decade, when having accumulated enough comprehensive national power, China is no longer afraid to reveal its true ambition. The paper uses the research method of synthesizing and analyzing information as well as applies Joseph Nye's power theories.
Polymotivated compound nouns in Russian language
Authors:   University of Social Sciences & Humanities, VNU-HCM, Bui Hanh My
Published: October 2023

This article presents the results of the survey of polymotivation in word-formation of compound nouns in the modern Russian language. Polymotivation as well as homonymous, synonymous, and antonymous in the formation of compound nouns is a kind of formal-semantic relations between the components of compound nouns. A polymotivated word has different direct derivation relations with different words with the same root because of being the result of different motivations, i. e. different word-formation ways or methods. Therefore, they have different word-formation structures and corresponding different word-formation meanings. Polymotivated words take up about 2,5% of compound nouns in the modern Russian language. Most of them are two-motivated and only some are three-motivated. Polymotivated compound nouns are classified according to their motivations, i. e. their word-formation ways: there are 12 types of two-motivated words and 3 typed three-motivated words. Two-motivated compound nouns can be formed in the same word-formation way, which is pure compounding with different components, or in two different word-formation ways, mainly pure compounding and suffixation, or rarely pure compounding combined with suffixation and suffixation. Three-motivated compound nouns are formed in three different ways: pure compounding, compounding combined with suffixation and suffixation or pure compounding/compounding combined with suffixation and suffixation with different suffixes. The polymotivation of Russian compound nouns shows diversity and complication in the mutual relation between the form and meaning of the word-formation system in Russian language.
Group presentation from the perspective of students majoring in foreign languages at the University of Social Sciences and Humanities, Vietnam National University Ho Chi Minh City
Authors:   University of Social Sciences and Humanities, VNU-HCM, Huynh Anh Khoa , Vu Que Chi  Ngoc ,   University of Social Sciences and Humanities, VNU-HCM, Huynh Cao Ngoc Nga ,   University of Social Sciences and Humanities, VNU-HCM, Tran Huyen Chau ,   University of Social Sciences and Humanities, VNU-HCM, Nguyen Thien An Du ,   University of Social Sciences and Humanities, VNU-HCM, Nguyen Thanh Thuy ,   University of Social Sciences and Humanities, VNU-HCM
Published: October 2023

Organizing group presentations in class for students is a common teaching method used by many lecturers to assist students in absorbing knowledge in an active and exciting way, as well as to build important soft and professional skills. The purpose of this paper is to find out the current state of group presentations from the perspective of foreign language students at the University of Social Sciences and Humanities, Viet Nam National University Ho Chi Minh City. The authors conducted a quantitative study on 264 students from the five Faculties of Foreign Languages of the University, developed a questionnaire, and collected data to gauge students' perspectives. According to the research findings, organizing group presentations is a teaching method that is regularly and widely employed during school hours. Students regard group presentations as useful and beneficial activities that provide practical benefits by assisting them in effectively absorbing courses, forming a positive learning attitude, and developing various soft and professional skills. Nevertheless, group presentations still have some shortcomings for students, including their low lesson receptivity level, much non-interest and deconcentration in group presentations.
Overnight Returns, Idiosyncratic Volatility, and the Expected Stock Returns
Authors:   The Institute of Management and Economy Research, Cheon Yong-Ho
Published: October 2023

Purpose - This paper examines whether overnight returns and idiosyncratic volatility (IVOL) jointly affects the cross-section of expected stock returns in the Korean stock market.
Design/methodology/approach - Constructing 5x5 bivariate monthly portfolios independently sorted on overnight returns and IVOL, this paper tests whether overpricing of stocks with high overnight returns is more pronounced for the stocks that also have high IVOL. In addition, we also investigate whether time-variation in the degree of overpricing for those stocks can be explained by market volatility.
Findings - Our results show that stocks having both high overnight returns and high IVOL exhibit strong negative returns in the future. In contrast, we are unable to observe such negative returns for the stocks that have high overnight returns and low IVOL. This suggests that overpricing of stocks with high overnight returns is concentrated for the stocks having high IVOL. Moreover, we also find that the degree to which such stocks are overpriced is negatively related to market volatility.
Research implications or Originality - his paper is the first attempt to explore whether degree of overpricing of stocks having high overnight returns is related to IVOL. We also discover time-varying property of overpricing is jointly driven by overnight returns and IVOL. Our results indicate that IVOL might help explain other previously documented stock return anomalies, suggesting interesting topics for future research.
Policy Forum: How Does Quebec Exercise Its Fiscal Autonomy?
Authors: Godbout Luc , Robert-Angers Michaël
Published: October 2023

In this article, the authors describe how the application of personal income tax differs in Quebec as compared with other Canadian provinces. The origins of this differentiation are discussed along with the details of Quebec tax particularities, including their effect on the determination of Quebecers' net income. Quebec's fiscal autonomy allows the provincial government to give expression to its public policy preferences and also offers options for protection of the tax base. However, the government's exercise of its autonomy is limited by practical constraints and adds to the province's administrative burden. The article concludes with the authors' thoughts on simplifying tax compliance for Quebec taxpayers.
PROJECT MANAGEMENT METHODOLOGIES FOR CIRCULAR BUSINESS MODELS: ADVANTAGES AND OPPORTUNITIES
Authors:   Lesya Ukrainka Volyn National University, Pavlikha Nataliia , Korneliuk Olga ,   Lesya Ukrainka Volyn National University, Tsymbaliuk Iryna ,   Lesya Ukrainka Volyn National University
Published: October 2023

The article discusses the features and types of circular business models. Circular business models are aimed at minimizing the generation of industrial and consumer waste through recycling, reuse and disposal of materials. The need to transition to circular business models is substantiated, which will contribute to the increase in the efficiency of use and conservation of resources, the reduction of dependence on primary raw materials and the damage to the environment. The purpose of the study is to systematize and improve the methodology of managing circular business models using project management tools. Project management methodologies are a set of guidelines and processes used to plan, manage, and execute projects. Despite the fact that each enterprise chooses its own circular economy business model, and each project is unique, there are general methods spread in management practice that can be adapted to a specific situation and used successfully. The main project management methods are systematized: Waterfall, Agile, Scrum, Critical Path Method, PRINCE2, Kanban, Critical Chain Method. Typical areas of application of each method are characterized. The directions of using project management methods for the introduction and development of circular business models of various types depending on the volume and cost of work, the scope of operation and the size of the team have been determined. The rules for building a tree of goals and a tree of problems and their importance for the development of an idea, concept and business plan of a circular model have been studied. it is important to analyze the specific needs of the business and choose what best fits the context of the individual company. It is necessary to identify the causes, consequences and key challenges associated with standard linear business models and to consider the problem from the point of view of environmental, social and economic dimensions. A problem tree is a graphical tool for analyzing a problem and its root causes. A goal tree is a tool for identifying and organizing the main goals and sub-goals in a specific circular business model. It helps establish a hierarchy between goals and connections between them. Each management methodology has its strengths and weaknesses, so you can use several methodologies at the same time, based on the features of the business model, its goals and organizational structure.
THE ESSENCE OF INNOVATION POTENTIAL OF AN ENTERPRISE: THEORETICAL ASPECT
Authors:   State University Information and Communication Technologies, Yevtushenko Natalia , Ryazantsev Ruslan ,   State University Information and Communication Technologies
Published: October 2023

Within the framework of this article, the need to study a complex of theoretical aspects of the innovative activity of enterprises in the formation of innovative potential as a system indicator characterizing the level of efficiency of enterprises in implementing the strategy of innovative development proved. The scientific views of scientists on the role of innovation in enhancing the innovative activity of enterprises and the study of theoretical aspects of the formation of the economic category “innovative potential of an enterprise” analyzed. The concept of “innovative potential of an enterprise” is systematized in essence and content as: the totality of an enterprise’s resources, taking into account their specific characteristics; a set of opportunities for efficient use of resources in the process of innovation; the ability to make changes that occur within processes or projects in the target area under the influence of digital transformations. A review of modern scientific approaches to the interpretation of the concept of “innovative potential” does not allow us to determine a single way of interpreting it. It recommend to understudied the concept of “innovative potential of an enterprise” as a set of resources and capabilities of an enterprise necessary for the creation, implementation and dissemination of new ideas, technologies and innovative products, which helps to meet the modern needs of producers and consumers in conditions of constant change. The structure of innovation potential proposed according to the following components in accordance with the types of resources: material, intangible, financial, labor, organizational and managerial, information. The relationship between the concepts: innovation, innovation process, innovation activity, innovation potential identified and substantiated. It established that, on the one hand, innovative activity ensures the innovation process through a set of organizational and managerial measures. On the other hand, the development and implementation of innovations in the activities of enterprises is a process that continues over time, during which the implementation of innovative potential occurs in the form of an innovative project.It established that innovative potential is one of the key categories of innovative entrepreneurship theory and is a source of development.