bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating the needs, expectations, problems and experiences of international students in the process of distance education
Authors: Coşkun Burcu Karabulut , Akcaoğlu Mustafa Öztürk 
Published: June 2023

Abstract
This study aims to determine the needs, expectations, problems and experiences of international students in the process of distance education. To this end, phenomenology design was used, and university students representing different departments and countries were selected through a purposive sampling method. A total of 11 international students participated in the study. An interview form was used for data collection. According to the findings, it was found that the participants did not experience any problems during the registration and admission process and could get enough support from the institution during the orientation and services process. The most common problem in the academic process is the language used by the lecturer. Also, the students mostly preferred the department they studied in line with their choices. Thanks to the repetition of the courses in distance education, they could overcome the language and communication barriers they experienced during the face-to-face education process. It was also determined that the students’ social relations with their peers and lecturers were positive, and they did not experience any adaptation problems. Finally, participants’ statements on financial challenges focused on the difficulties in both finding scholarships and supporting themselves.
The Relationship Between Public Administration and Third Sector Organizations: Voluntary Failure Theory and Beyond
Authors: Bassi Andrea 
Published: June 2023

AbstractAmong Lester Salamon’s early theoretical contributions was the introduction of the “Voluntary Failure” concept. In a series of articles published in the second half of the 1980s (Salamon, L. M. 1987a. “Of Market Failure, Voluntary Failure, and Third-Party Government: Toward a Theory of Government-Nonprofit Relations in the Modern Welfare State.”Journal of Voluntary Action Research16 (1–2): 29–49. Reprinted in Salamon (1995): 33–49, Salamon, L. M. 1987b. “Partners in Public Service: The Scope and Theory of Government-Nonprofit Relations,” InThe Nonprofit Sector. A Research Handbook, edited by W. Powell Walter, 99–117. New Haven: Yale University Press, Salamon, L. M. 1989. “The Voluntary Sector and the Future of the Welfare State.”Nonprofit and Voluntary Sector Quarterly18 (1): 11–24. Reprinted in Salamon (1995): 203–19) Salamon rejects the existing theories concerning the existence and the growth of nonprofit entities, both demand-side theories such as “government failure” (Weisbrod) and “contract failure” (Hansmann) and supply-side theories (James). He introduces the so-called “third-party government” approach underlining the interdependence between the state and various other (profit and nonprofit) social actors (Salamon Lester M. and Toepler S. 2015. “Government–Nonprofit Cooperation: Anomaly or Necessity?”Voluntas26: 2155–77). The “voluntary failure theory” is based on the recognition of four limits of nonprofit organizations’ action: (a) philanthropic insufficiency; (b) philanthropic particularism; (c) philanthropic paternalism; (d) philanthropic amateurism. These shortcomings can be overcome by the creation of an institutional framework of collaboration between the public administration and the most organized part of civil society, namely the so-called third-sector organizations. The aim of this paper is to open a discussion around the adequacy of the above-mentioned approach to explain the complex configurations that current relationships between public administration and third sector organizations have assumed in Western democracies, especially in the field of welfare policies. We will do so through the analysis of the recent scientific literature on government-nonprofit relationships, with a particular focus on the so-called “new public governance” (Osborne Stephen, P. 2006. “The New Public Governance?”Public Management Review8 (3): 377–87, Osborne Stephen, P. ed. 2009.The New Public Governance? Emerging Perspectives on the Theory and Practice of Public Governance. London: Routledge) and the co-creation and co-production paradigm (Torfing, J., E. Sørensen., and A. Røiseland. 2016. “Transforming the Public Sector into an Arena for Co-creation: Barriers, Drivers, Benefits, and Ways Forward.”Administration & Society: 1–31), that emphasize the involvement of citizens (i.e. users or clients) and their associations in the definition of the policies, programs, and services directed to them.
Automatic prediction model of overall survival in prostate cancer patients with bone metastasis using deep neural networks
Authors: Wang Zhongxiao , Xiong Tianyu , Jiang Mingxin , Cui Yun , Qian Xiaosong , Su Yao , Zhang Xiaolei , Xu Shiqi , Wen Dong , Dong Xianling , Yang Minfu , Niu Yinong 
Published: June 2023

Abstract

Objectives
Bone is the most common site of metastasis in prostate cancer (PCa) patients and is correlated with poor prognosis and increasing economic burden. Few studies have analyzed the prognostic prediction for metastatic PCa patients with the assistance of neural networks.

Methods
Four convolutional neural network (CNN) models are developed and evaluated to predict the overall survival (OS) of PCa patients with bone metastasis. All the CNN models are first trained with 64 samples and evaluated with 10 samples; two models use only bone scan images and two models use both bone scan images and clinical parameters (CPs). The predictions of the best models are compared with those by two urology surgeons on 20 test samples.

Results
Our best models can predict OS of PCa patients with bone metastasis with AUC=0.8022 by using only bone scan images and AUC=0.8132 by using both bone scan images and CPs on 20 test samples. The best Youden indexes of the two models are 0.6263 and 0.7142, respectively, which are 0.3077 and 0.3131 higher than that of the urologists’ average Youden index, which indicate that CNN models exhibit significant advantages.

Conclusions
CNN models are suitable to predict OS in PCa patients with bone metastasis using bone scan images and CPs. Our models show better performance in terms of accuracy and stability than urology surgeons.
Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains
Authors: Huang Ying , Wu Zhengwang , Li Tengfei , Wang Xifeng , Wang Ya , Xing Lei , Zhu Hongtu , Lin Weili , Wang Li , Guo Lei , Gilmore John H. , Li Gang 
Published: June 2023

Adult twin neuroimaging studies have revealed that cortical thickness (CT) and surface area (SA) are differentially influenced by genetic information, leading to their spatially distinct genetic patterning and topography. However, the postnatal origins of the genetic topography of CT and SA remain unclear, given the dramatic cortical development from neonates to adults. To fill this critical gap, this study unprecedentedly explored how genetic information differentially regulates the spatial topography of CT and SA in the neonatal brain by leveraging brain magnetic resonance (MR) images from 202 twin neonates with minimal influence by the complicated postnatal environmental factors. We capitalized on infant-dedicated computational tools and a data-driven spectral clustering method to parcellate the cerebral cortex into a set of distinct regions purely according to the genetic correlation of cortical vertices in terms of CT and SA, respectively, and accordingly created the first genetically informed cortical parcellation maps of neonatal brains. Both genetic parcellation maps exhibit bilaterally symmetric and hierarchical patterns, but distinct spatial layouts. For CT, regions with closer genetic relationships demonstrate an anterior-posterior (A-P) division, while for SA, regions with greater genetic proximity are typically within the same lobe. Certain genetically informed regions exhibit strong similarities between neonates and adults, with the most striking similarities in the medial surface in terms of SA, despite their overall substantial differences in genetic parcellation maps. These results greatly advance our understanding of the development of genetic influences on the spatial patterning of cortical morphology.SIGNIFICANCE STATEMENTGenetic influences on cortical thickness (CT) and surface area (SA) are complex and could evolve throughout the lifespan. However, studies revealing distinct genetic topography of CT and SA have been limited to adults. Using brain structural magnetic resonance (MR) images of twins, we unprecedentedly discovered the distinct genetically-informed parcellation maps of CT and SA in neonatal brains, respectively. Each genetic parcellation map comprises a distinct spatial layout of cortical regions, where vertices within the same region share high genetic correlation. These genetic parcellation maps of CT and SA of neonates largely differ from those of adults, despite their highly remarkable similarities in the medial cortex of SA. These discoveries provide important insights into the genetic organization of the early cerebral cortex development.
Viral recognition and the antiviral interferon response
Authors: Dalskov Louise , Gad Hans Henrik , Hartmann Rune 
Published: June 2023

AbstractInterferons (IFNs) are antiviral cytokines that play a key role in the innate immune response to viral infections. In response to viral stimuli, cells produce and release interferons, which then act on neighboring cells to induce the transcription of hundreds of genes. Many of these gene products either combat the viral infection directly, e.g., by interfering with viral replication, or help shape the following immune response. Here, we review how viral recognition leads to the production of different types of IFNs and how this production differs in spatial and temporal manners. We then continue to describe how these IFNs play different roles in the ensuing immune response depending on when and where they are produced or act during an infection.
Logistic Regression Approach In Studying Travel Demand During Morning Peak Hour: A Case Study In Klang Komuter Station, Malaysia
Authors: Mohd Ali Nur Fahriza , Mohd Sadullah Ahmad Farhan , Zulkiple Adnan 
Published: June 2023

This paper develops a Stated Preference (SP) experiment that provides a way to measure users’ travel demand in public transport. This paper introduces an empirical procedure for optimising the SP experiment. This procedure permits the identification of the choice alternatives defining the experiment by simulating the choices of a user sample. By using the data collected from a survey, a Logit model was calibrated. This model is a way of identifying the importance of service quality attributes on global users’ satisfaction which provides an operationally appealing measure of current or potential service effectiveness. The result shows that out-ofvehicle time gives a great impact towards users’ mode choice
Pengembangan Media Jenga Aksara Jawa dalam Pembelajaran Membaca dan Menulis Teks Berhuruf Jawa
Authors: Rinata Septian , Yuwono Agus , Insani Nur Hanifah 
Published: June 2023

Abstract
There was no development of Javanese script learning media impacted with the less interesting and ineffective learning process so that students have difficulty in understanding Javanese script material. This study aimed to describe the students and teachers’ needs for Javanese script learning media, describe the prototype of the Javanese script Jenga media, and describe the results of the validation of media and material experts on the Javanese script Jenga media. The method of this study used Research and Development. Then, in collecting data this study used interview and questionnaire techniques. The data collected were analyzed using descriptive qualitative and quantitative descriptive analysis techniques. Based on the results of this study, it can be seen that students and teachers need an interesting and effective learning media to help them easier in understanding Javanese script material. The prototype of the Javanese Script Jenga media consists of a media box, Javanese Script Jenga wooden block, cards and their boxs, dice, blackboard, markers, students’ guidebook, and teacher's manual handout with practice questions and answer keys. Based on the assessment result, Jenga Aksara Jawa media prototype obtained an assessment percentage of 80% from media experts and 77.6% from material experts. Expert validators also provided suggestions and input that can be received into consideration by researchers to improve the Javanese script Jenga media prototype shortcomings. Therefore, this Javanese script media is proper to be used as a learning media with improvements according to the suggestions.
THE NOVELTY OF PLOT IN LEILA S CHUDORI'S PULANG
Authors: Kusaeri Viona Gita 
Published: June 2023

Literary works are built from the harmony of intrinsic elements such as theme, plot, characterization, setting, point of view, style, and mandate. Plot is one of the crucial elements in a story which can combine all the elements in a story to become harmonious. From the plot, we can know the events of the character’s characteristics and the conflicts faced by the story. It can clearly describe the storyline that wants to create by the writer. Pulang by Leila S Chudori is one of the novels that have a unique plot which is created from the letter’s media. The new way of conveying the plot is called novelty. The novelty is created for avoiding monotony in a story. Every stage of plot such as exposition, inciting moment, rising action, conflict/climax, falling action and denonement can be made to make a surprise so that the reader feels interested and curious about the next stage of plot. This is what Leila does to build her plot more interesting and unique. Leila in Pulang uses a regressive plot because the sequence of events told in fiction is not chronological, the story starts from the middle stage when Dimas Suryo is already in Paris. Besides the letter media that Leila uses in the story, she also used novelty for the renewal of the written media based on the developments of electronic media from 1965-1998. Through this kind of novelty, Leila succeeds in getting the reader to be influenced by Indonesia’s dark history which is written from a different perspective.
Atributos Empresariais e a Qualidade Informacional dos Relatórios Financeiros em Empresas Brasileiras
Authors: Freire Maria Macileya Azevedo , De Luca Márcia Martins Mendes , Vasconcelos Alessandra Carvalho de , Cunha Jacqueline Veneroso Alves da 
Published: June 2023

Com objetivo de investigar a influência dos atributos empresariais na qualidade da informação dos relatórios financeiros em companhias brasileiras, realizou-se uma pesquisa descritiva junto a 407 empresas listadas na B3, aplicando-se ferramentas estatísticas para o tratamento dos dados. Foram estudados os atributos governança corporativa, internacionalização e desempenho das companhias da amostra, sendo a qualidade da informação representada pela republicação dos seus demonstrativos financeiros, considerando-se que essa prática sinaliza menos qualidade da informação inicialmente divulgada. Os resultados evidenciaram que não há influência dos atributos empresariais em estudo na qualidade da informação pela ótica da republicação de demonstrações financeiras. Ao se analisarindividualmente as variáveis que compõem o índice de governança utilizado, observou-se a influência positiva da variável “política de divulgação” na republicação de demonstrativos. No que diz respeito à internacionalização, verificou-se que o número de bolsas de valores em que a empresa se encontra listada influencia positivamente a republicação das demonstrações financeiras. Não foi identificada influência do desempenho empresarial na qualidade informacional dos relatórios financeiros.
Mapping the social aspect of GSCM and SSCM: a future research agenda proposal
Authors: Delgado Fernanda Martinez , De Aragão Claudia Gomes , Teixeira Adriano Alves , Bezerra Barbara Stolte 
Published: June 2023

Purpose – Identify how the social dimension is investigated in GSCM and SSCM research and propose a research agenda to integrate the social dimension in GSCM and SSCM.
Theoretical framework – The study deals with the social aspect of the triple bottom line, a theory devised by John Elkington, to identify how the topic is treated in GSCM AND SSCM research.
Design/methodology/approach – This study adopted a systematic review of the literature approach to examine the literature that integrates GSCM and the SSCM with a focus on the social aspect, based on criteria and an analysis of published studies adapted from Tranfield et al. (2003).
Findings - The study contains a summary of the papers found and a categorization that defines the state-of-the-art approach to the subject. The analysis supports the fact that China, India, and European countries carry out most of the investigation and produce GSCM and SSCM articles, observing the social aspect in their releases. Quantitative studies explore sustainability in the economic, environmental, and social tripod together. Research in social performance is not yet specialized and measuring this type of performance in an organization is very complex. Studies that address social issues are scarce, and there are still many gaps to be filled in the investigation of the social dimension in GSCM and SSCM.
Research, Practical & Social implications – As theoretical implications, the study presents a delimitation of the state-of-the-art approach on social issues when GSCM AND SSCM themes are worked together. For practical and managerial implications, it serves as a guide for consulting the best social practices to be adopted by companies.
Originality/value – The study works on the social aspect between GSCM and SSCM themes together, and studies that deal with social issues are scarce, contributing to the business management area.
Keywords - GSCM, SSCM, Sustainability, Social performance, Social issues, Social aspects.
Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation
Authors: Zhao Ruijie , Zhan Mingwei , Deng Xianwen , Wang Yanhao , Wang Yijun , Gui Guan , Xue Zhi 
Published: June 2023

Traffic classification is a critical task in network security and management. Recent research has demonstrated the effectiveness of the deep learning-based traffic classification method. However, the following limitations remain: (1) the traffic representation is simply generated from raw packet bytes, resulting in the absence of important information; (2) the model structure of directly applying deep learning algorithms does not take traffic characteristics into account; and (3) scenario-specific classifier training usually requires a labor-intensive and time-consuming process to label data. In this paper, we introduce a masked autoencoder (MAE) based traffic transformer with multi-level flow representation to tackle these problems. To model raw traffic data, we design a formatted traffic representation matrix with hierarchical flow information. After that, we develop an efficient Traffic Transformer, in which packet-level and flow-level attention mechanisms implement more efficient feature extraction with lower complexity. At last, we utilize the MAE paradigm to pre-train our classifier with a large amount of unlabeled data, and perform fine-tuning with a few labeled data for a series of traffic classification tasks. Experiment findings reveal that our method outperforms state-of-the-art methods on five real-world traffic datasets by a large margin. The code is available at https://github.com/NSSL-SJTU/YaTC.
Stimulation of Immune Checkpoint Molecule B and T-Lymphocyte Attenuator Alleviates Experimental Crescentic Glomerulonephritis
Authors: Diefenhardt Paul , Braumann Marie , Schömig Thomas , Trinsch Bastian , Sierra Gonzalez Claudio , Becker-Gotot Janine , Völker Linus A. , Ester Lioba , Mandel Amrei M. , Hawiger Daniel , Abdallah Ali T. , Schermer Bernhard , Göbel Heike , Brinkkötter Paul , Kurts Christian , Benzing Thomas , Brähler Sebastian 
Published: June 2023

Significance Statement
Treatment of acute, crescentic glomerulonephritis (GN) consists of unspecific and potentially toxic immunosuppression. T cells are central in the pathogenesis of GN, and various checkpoint molecules control their activation. The immune checkpoint molecule B and T-lymphocyte attenuator (BTLA) has shown potential for restraining inflammation in other T-cell–mediated disease models. To investigate its role in GN in a murine model of crescentic nephritis, the authors induced nephrotoxic nephritis in BTLA-deficient mice and wild-type mice. They found that BTLA has a renoprotective role through suppression of local Th1-driven inflammation and expansion of T regulatory cells and that administration of an agonistic anti-BTLA antibody attenuated experimental GN. These findings suggest that antibody-based modulation of BTLA may represent a treatment strategy in human glomerular disease.

Background
Modulating T-lymphocytes represents a promising targeted therapeutic option for glomerulonephritis (GN) because these cells mediate damage in various experimental and human GN types. The immune checkpoint molecule B and T-lymphocyte attenuator (BTLA) has shown its potential to restrain inflammation in other T-cell–mediated disease models. Its role in GN, however, has not been investigated.

Methods
We induced nephrotoxic nephritis (NTN), a mouse model of crescentic GN, in Btla-deficient (Btla
KO) mice and wild-type littermate controls and assessed disease severity using functional and histologic parameters at different time points after disease induction. Immunologic changes were comprehensively evaluated by flow cytometry, RNA sequencing, and in vitro assays for dendritic cell and T-cell function. Transfer experiments into Rag1

KO
mice confirmed the observed in vitro findings. In addition, we evaluated the potential of an agonistic anti-BTLA antibody to treat NTN in vivo.

Results
The Btla
KO mice developed aggravated NTN, driven by an increase of infiltrating renal Th1 cells. Single-cell RNA sequencing showed increased renal T-cell activation and positive regulation of the immune response. Although BTLA-deficient regulatory T cells (Tregs) exhibited preserved suppressive function in vitro and in vivo, Btla
KO T effector cells evaded Treg suppression. Administration of an agonistic anti-BTLA antibody robustly attenuated NTN by suppressing nephritogenic T effector cells and promoting Treg expansion.

Conclusions
In a model of crescentic GN, BTLA signaling effectively restrained nephritogenic Th1 cells and promoted regulatory T cells. Suppression of T-cell–mediated inflammation by BTLA stimulation may prove relevant for a broad range of conditions involving acute GN.
COMBINED SURGERY IN A PATIENT WITH INTRACARDIAC LEIOMYOMATOSIS: A CLINICAL CASE
Authors: Muratov Ravil M. , Khramchenkov Andrey G. , Titov Dmitriy A. , Babenko Svetlana I. , Khugaev Georgy A. 
Published: June 2023

HighlightsIntravascular leiomyoma with heart extension is a rare occurring condition. According to the available data, the number of cases does not exceed 30 despite many years of studies. Often cardiac hospitals cannot establish the clinical picture, so the surgeon removes only cardiac tumors, which inevitably leads to the recurrence of the tumor after a few months. AbstractLeiomyomatosis is an extremely rare disease that occurs in women of childbearing age. The development of the malignant tumor is preceded by the removal of the uterine fibroids or hysterectomy. Radical surgery guarantees the complete absence of relapses, while partial removal leads to relapses in a third of cases. We performed a reoperation on a 35-year-old patient who underwent partial removal of leiomyoma in the right atrium but 3 months later had a tumor causing severe obstruction of the right heart.