bluuebunny/crossref_metadata_2025_split huggingface dataset:
A deep learning model for steel surface defect detection
Authors: Li Zhaoguo , Wei Xiumei , Hassaballah M. , Li Yihong , Jiang Xuesong 
Published: August 2023

AbstractIndustrial defect detection is a hot topic in the field of computer vision. It is a challenging task due to complex features and many categories of industrial defects. In this paper, a deep learning model based on the multiscale feature extraction module is introduced for steel surface defect detection. The main focus on the feature extraction capability of the model and feature fusion capability to improve the accuracy of the model for steel surface defect detection. First, to improve the feature extraction ability of the model, a multiscale feature extraction (MSFE) module is introduced. The MSFE module can effectively extract multiscale features through three branches that have different convolution kernel sizes. Second, an efficient feature fusion (EFF) module is proposed to optimize feature fusion by adding features from the backbone network to the neck network. Third, this paper puts forward a new Bottleneck module by reducing the normalization layer and activation function in the original Bottleneck module. Finally, the backbone network is deepened to further enhance the feature extraction ability of the model. Extensive experiments are conducted on the public NEU-DET dataset. The experimental results validate the effectiveness of the designed modules and the proposed model. Compared with other state-of-the-art methods, the proposed model achieves optimal accuracy(73.08% mAP@0.5) while maintaining a small number of parameters.
Swift Assembly of Adaptive Thermocell Arrays for Device-Level Healable and Energy-Autonomous Motion Sensors
Authors: Lu Xin , Xie Daibin , Zhu Kaihua , Wei Shouhao , Mo Ziwei , Du Chunyu , Liang Lirong , Chen Guangming , Liu Zhuoxin 
Published: August 2023

AbstractThe evolution of wearable technology has prompted the need for adaptive, self-healable, and energy-autonomous energy devices. This study innovatively addresses this challenge by introducing an MXene-boosted hydrogel electrolyte, which expedites the assembly process of flexible thermocell (TEC) arrays and thus circumvents the complicated fabrication of typical wearable electronics. Our findings underscore the hydrogel electrolyte's superior thermoelectrochemical performance under substantial deformations and repeated self-healing cycles. The resulting hydrogel-based TEC yields a maximum power output of 1032.1 nW under the ΔT of 20 K when being stretched to 500% for 1000 cycles, corresponding to 80% of its initial state; meanwhile, it sustains 1179.1 nW under the ΔT of 20 K even after 60 cut-healing cycles, approximately 92% of its initial state. The as-assembled TEC array exhibits device-level self-healing capability and high adaptability to human body. It is readily applied for touch-based encrypted communication where distinct voltage signals can be converted into alphabet letters; it is also employed as a self-powered sensor to in-situ monitor a variety of body motions for complex human actions. The swift assembly approach, combined with the versatile functionality of the TEC device, paves the way for future advancements in wearable electronics targeting at fitness monitoring and human–machine interfaces.
Do Predictive Analytics Dream of Risk-Free Education? The Politics of Risk Mitigation
Authors: Zakharova Irina , Jarke Juliane 
Published: August 2023

AbstractThe future is always shaped and, to some extent, haunted by design decisions of the present and their future residues. Predictive learning analytics, as increasingly used in education, is an example of a technology that is future-oriented by design. Particularly risk prediction concerned with the students at risk, risk factors hindering educational success, and their management has a long history in education. Currently, identification of students ‘at risk’, risk prediction, and mitigation are being automated through learning analytics. Understanding risk as integral both to modern society and the educational processes, our goal in this paper is to trace the politics of risk prediction and educational futures. We argue that the future orientation of educational technologies materialise in form of design features. To analyse these future making features, we examine the risk prediction-related design features of five globally used learning management systems. We consider their politics for future making through the ways in which they define what is problematic, what is thinkable, and what is desirable in education. We discuss (1) the promises and aspirations these learning management systems promote to educators about the possibilities of a risk-free educational future; (2) how risk prediction features work, e.g., on which different data categories they operate; and (3) the resulting politics of who is perceived as a carrier of risk in education and who is called upon to act. We close with a discussion on the politics (and risk) of aspiring for risk-free learning and risk mitigation in datafied education.
Was it me? The Role of Attributions and Shame in Posttraumatic Stress Disorder (PTSD): A Systematic Review
Authors: Seah Rebecca , Dwyer Kirsty , Berle David 
Published: August 2023

AbstractShame has been identified as a key emotional response to trauma exposure and is implicated in the development and maintenance of PTSD. Despite this, there is a lack of empirical research explaining how and why shame emerges following trauma exposure. Current theoretical models of shame converge on the idea that shame is elicited through internal, stable, and global attributions about the precipitating event. A systematic review was conducted to assess the relationship between causal attributions, shame, and PTSD symptomology. A database search of PsycINFO, PubMED, Medline, EMBASE and PTSDPubs identified articles published between 1980 to 2022 that enabled examination of the relationship between attributions, shame, and PTSD. A total of eight articles met inclusion criteria for this review. There were cross-sectional relationships between internal attributions, shame, and PTSD symptoms, with shame demonstrating the strongest relationship with PTSD symptoms. Significant indirect effects were found between internal attributions, shame, and PTSD. Concerns surrounding reliability of measurements and sampling bias made it difficult to draw definitive conclusions. The current evidence is too preliminary to offer strong support for the mediation hypothesis. However, it does offer important avenues for future research that will have important clinical applications.
A scientometric analysis of information technology in sustainable higher education: knowledge structure and frontier trends
Authors: Chen Jiyun 
Published: August 2023

AbstractAchieving quality education by providing equitable resources and promoting lifelong learning has attracted scholarly attention since the United Nations proposed Education for Sustainable Development (SDG4) in 2015. The transformation of information technologies has dramatically advanced the fulfillment of SDG4 by revolutionizing communication and learning processes. Updated research to trace the evolution of the relevant field will boost researchers executing ground-breaking research for improving the domain. By utilizing the bibliometric analysis with CiteSpace, this research investigated knowledge structures and frontier trends regarding information technology in sustainable higher education, which included 5370 documents primarily retrieved from the Web of Science between January 2010 and December 2022. The findings indicated that web-based online learning, transparent and unified sustainability reporting criteria, and sustainable campus administration with the assistance of information technologies had drawn significant attention. The most promising topics include: utilizing information technology to improve students’ cross-cultural competencies; adjusting curriculum content for the dynamic changing environment; collaborating between different participants to obtain a circular economy; and the priority of enhancing pedagogy competence of teachers. The results provide crucial insight to researchers via graphical expression, thus facilitating a comprehensive understanding of the field, shedding light on topics not thoroughly explored in this knowledge discipline, and providing valuable direction for future research.
Document-Level Chemical-Induced Disease Semantic Relation Extraction Using Bidirectional Long Short-Term Memory on Dependency Graph
Authors: Pham Thi Quynh-Trang , Dao Quang Huy , Nguyen Anh Duc , Dang Thanh Hai 
Published: August 2023

AbstractIdentifying chemical-induced disease (CID) semantic relations in the biomedical literature, including both intra- and inter-sentence interactions, has significant implications for various downstream applications. Although various advanced methods have been proposed, they often overlook the cross-sentence dependency information, which is crucial for accurately predicting inter-sentence relations. In this study, we propose DEGREx, a novel graph-based neural model that presents a biomedical document as a dependency graph. DEGREx improves the long-distance relation extraction by allowing direct information exchange among document graph nodes through dependency connections. The information transition process is based on the idea of controller gates in long short-term memory networks. Our model, DEGREx, exerts a multi-task learning framework to jointly train relation extraction with named entity recognition, improving the performance of the CID extraction task. Experimental results on the benchmark dataset demonstrate that our model DEGREx outperforms all nine compared recent state-of-the-art models.
A Digital Space of One’s Own: Rethinking Children’s Online Privacy
Authors: Belmer Stephanie 
Published: August 2023

AbstractThis paper rereads the tort of intrusion upon seclusion, as it was adopted by the Ontario Court of Appeal in Jones v Tsige, to include a fuller account of online privacy. It proposes that the Court’s stress on informational privacy forfeits a more dynamic and “spatialized” conception of privacy harm. This paper develops a relational account of spatial privacy using the work of Iris Marion Young, Virginia Woolf, and Jennifer Nedelsky based on three features—embodied habits, narrative, and experimentation—to supplement the informational reading of privacy in Jones. While Jones is not a case about young people, this paper nonetheless takes the Court’s emphasis on digital technology as an invitation to reflect on young people’s privacy. Using different accounts of young people’s online experience, it proposes that while privacy is certainly transformed by the online world, its basic spatial features have not changed as dramatically as the Court in Jones suggests.
Factors associated with ICD-11 posttraumatic stress disorder and complex posttraumatic stress disorder among older adults during the COVID-19 pandemic
Authors: Greenblatt-Kimron Lee , Ben-Ezra Menachem , Shacham Maayan , Hamama-Raz Yaira , Palgi Yuval 
Published: August 2023

Abstract
ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD have been understudied in the older population. The study focused on the associations between traumatic exposure before the pandemic, COVID-19 worries, depression, and loneliness with current PTSD and CPTSD among older adults. A random sample of five hundred and twelve Israeli older adults (Mage = 72.67 ± 3.81, range 68–87) was recruited using a Web-based survey company (Ipanel, Israel). Participants completed questionnaires of demographic details, self-rated health, COVID-19 worries, trauma exposure, depressive symptoms, level of loneliness, PTSD, and CPTSD. Univariate logistic regression revealed that trauma exposure, COVID-19 worries, depression, and loneliness were associated with PTSD. Multinomial regression revealed that only trauma exposure was associated with PTSD among older adults with PTSD compared with those not reaching the PTSD cutoff level. In the comparison between older adults suffering from CPTSD with those not reaching the PTSD cutoff level, being married, higher levels of trauma exposure, COVID-19 worries, depression, and loneliness were associated with a higher risk of CPTSD. Results suggest that specific factors may be significant psychological correlates of CPTSD symptoms among older adults during the COVID-19 pandemic. Identifying these factors could assist practitioners in tailoring more effective interventions.
Soft Epiphanies: The Multilayered Narratives in Abbas Kiarostami's Film Close-Up (1990)
Authors: Devictor Agnès , Neuve-Eglise Amélie 
Published: August 2023

Abstract
As part of the collective endeavor to explore the modalities and challenges of the narrative in the Persianate world, this article reconsiders Abbas Kiarostami's Close-Up (1990), a film characterized by a special cinematographic feature. While accounting for what appears to be a story of swindling and identity theft, Kiarostami keeps the viewer in a state of uncertainty about the nature of what he sees, blurring the boundaries between documentary and fiction, truth and lie, through particular narrative and cinematographic choices. Previous scholarship has focused mainly on the aesthetic implications of the staging and its effects on the viewer. The present study proposes a different type of analysis by discussing specific narrative devices from the perspective of cultural anthropology, with particular attention to the recurrence of the zāher/bāten paradigm, suggested as a cipher by Kiarostami himself early on in the film. The examination of the discursive and aesthetic mobilization of these notions brings to light a subtle game of back-and-forth between the desire to disclose deeper meanings and the will to preserve ambiguity and intimacy, allowing for “soft epiphanies” to arise.
Dietary diversity and nutritional status of children attending early childhood development centres in Vhembe District, Limpopo province, South Africa
Authors: Motadi Selekane Ananias , Zuma Mthokozisi Kwazi , Freeland-Graves Jeanne H. , Gertrude Mbhenyane Xikombiso 
Published: August 2023

AbstractThe present study assessed dietary diversity and anthropometric status of children attending early development centres in South Africa. In the Vhembe District of Limpopo province, South Africa, 273 children were conveniently chosen from 8 randomly selected early childhood development centres for a cross-sectional study. Data were gathered via a questionnaire administered by the interviewer in June 2021. Height, body weight and mid-upper arm circumference were measured to assess anthropometric status. A 24-h dietary recall was obtained to provide information on dietary diversity. The prevalence of underweight, wasting and stunting was 9, 4 and 26 %, respectively. More than half of the children had a low dietary diversity score, according to the Food and Agriculture Organization scoring system for children. Grains, roots, tubers, dairy products, other fruits and vegetables, and flesh-based foods were the highest consumed food groups. The lowest consumption was for eggs, vitamin A-rich fruits and vegetables, legumes and nuts. Height for age and weight for age were significantly associated with dietary diversity score, but not weight for height. Children who did not meet the reference value of greater than 4 for dietary diversity had a significant risk of being underweight (AOR 0⋅25, 95 % CI 0⋅08, 0⋅75) and stunted (AOR 0⋅32, 95 % CI 0⋅14, 0⋅74). The nutritional status of the children was impacted by a lack of adequate dietary diversity. Young children in rural areas need to receive a wide range of food to promote greater diversification of diets in order to diminish the risk of undernutrition.
Salvemini's antifascist exile in London: attracting the attention of a British audience
Authors: Gussoni Alice 
Published: August 2023

AbstractIn 1925 the Fascist dictatorship forced Gaetano Salvemini to leave Italy and begin a new life in exile. Salvemini understood he could find political and financial support in London to achieve two main aims: to live a decent life as an antifascist exile and fight the Fascist dictatorship from abroad. Thanks to a network encompassing intellectuals, academics, journalists, and politicians, London provided Salvemini with a platform for sharing antifascist stances outside Italy. This essay will develop research on this topic by taking into account Salvemini's conference speeches, articles, books, and essays written while in Britain, from 1925 to 1934. The corpus of the selected texts will show that Salvemini carefully singled out topics that were able to attract the attention of a foreign audience, particularly British public opinion. Therefore, the analysis of Salvemini's intellectual production during this period and the reaction of the press will contribute to cast a new light on his antifascist strategies; in other words, it will lead to a consideration of the extent to which being part of a British intellectual network transformed his approach to the antifascist struggle.
Liberal Democratic Mayors in Illiberal Populist Regimes: Istanbul’s Challenges
Authors: Deets Stephen 
Published: August 2023

AbstractAfter Ekrem İmamoğlu won as Istanbul’s mayor, the contestation between the city and central government resembled other cases of liberal mayors winning in illiberal populist regimes. To expand liberal democracy, the mayor sought to reinvigorate effective democratic citizenship by increasing access to information, creating more inclusive governance networks through public participation opportunities, limiting the regime’s clientelism and rent-seeking opportunities in real estate and contracting, and (re)creating social solidarity. The national government responded by extensively covering “scandals” and continuing populist rhetoric to maintain polarization, limiting the city’s financial resources, and moving power and projects to agencies they still controlled. This article uses Istanbul to develop this model and illustrate how İmamoğlu has made progress in each area despite the central government’s effort to constrain his administration.
Detection of radio emission from stars via proper-motion searches
Authors: Driessen Laura N. , Heald George , Duchesne Stefan W. , Murphy Tara , Lenc Emil , Leung James K. , Moss Vanessa A. 
Published: August 2023

AbstractWe present a method for identifying radio stellar sources using their proper-motion. We demonstrate this method using the FIRST, VLASS, RACS-low and RACS-mid radio surveys, and astrometric information fromGaiaData Release 3. We find eight stellar radio sources using this method, two of which have not previously been identified in the literature as radio stars. We determine that this method probes distances of$\sim$90pc when we use FIRST and RACS-mid, and$\sim$250pc when we use FIRST and VLASS. We investigate the time baselines required by current and future radio sky surveys to detect the eight sources we found, with the SKA (6.7 GHz) requiring$<$3 yr between observations to find all eight sources. We also identify nine previously known and 43 candidate variable radio stellar sources that are detected in FIRST (1.4 GHz) but are not detected in RACS-mid (1.37 GHz). This shows that many stellar radio sources are variable, and that surveys with multiple epochs can detect a more complete sample of stellar radio sources.
From Grinder to Nipper: Opera, Music Technology and Italian American (Self-)Representation
Authors: Agugliaro Siel 
Published: August 2023

AbstractIn this article I argue that the longstanding practice of depicting Italian Americans as opera lovers stems from a tradition associating Italian immigrants with mechanical music devices. As a growing number of Italian unskilled labourers entered the United States in the second half of the nineteenth century, they were stereotyped as street musicians, and especially as organ grinders, in mainstream popular culture. Beginning in the 1900s, recording manufacturers strove to make home phonographs appealing to the middle class by breaking the chain of mechanical, social and racial associations that connected the phonograph with earlier musical devices such as the barrel organ, and with those who played them. Because of the prominent marketing role that record labels assigned to Italian opera, this commercial strategy had important consequences for the genre as well as for Italian immigrants, who leveraged opera's renewed visibility and audibility into an effective vessel for social and political empowerment.
Quasipolynomial-time algorithms for Gibbs point processes
Authors: Jenssen Matthew , Michelen Marcus , Ravichandran Mohan 
Published: August 2023

AbstractWe demonstrate a quasipolynomial-time deterministic approximation algorithm for the partition function of a Gibbs point process interacting via a stable potential. This result holds for all activities
$\lambda$
for which the partition function satisfies a zero-free assumption in a neighbourhood of the interval
$[0,\lambda ]$
. As a corollary, for all finiterange stable potentials, we obtain a quasipolynomial-time deterministic algorithm for all
$\lambda \lt 1/(e^{B + 1} \hat C_\phi )$
where
$\hat C_\phi$
is a temperedness parameter and
$B$
is the stability constant of
$\phi$
. In the special case of a repulsive potential such as the hard-sphere gas we improve the range of activity by a factor of at least
$e^2$
and obtain a quasipolynomial-time deterministic approximation algorithm for all
$\lambda \lt e/\Delta _\phi$
, where
$\Delta _\phi$
is the potential-weighted connective constant of the potential
$\phi$
. Our algorithm approximates coefficients of the cluster expansion of the partition function and uses the interpolation method of Barvinok to extend this approximation throughout the zero-free region.
Toward a shallow discourse parser for Turkish
Authors: Kutlu Ferhat , Zeyrek Deniz , Kurfalı Murathan 
Published: August 2023

AbstractOne of the most interesting aspects of natural language is how texts cohere, which involves the pragmatic or semantic relations that hold between clauses (addition, cause-effect, conditional, similarity), referred to as discourse relations. A focus on the identification and classification of discourse relations appears as an imperative challenge to be resolved to support tasks such as text summarization, dialogue systems, and machine translation that need information above the clause level. Despite the recent interest in discourse relations in well-known languages such as English, data and experiments are still needed for typologically different and less-resourced languages. We report the most comprehensive investigation of shallow discourse parsing in Turkish, focusing on two main sub-tasks: identification of discourse relation realization types and the sense classification of explicit and implicit relations. The work is based on the approach of fine-tuning a pre-trained language model (BERT) as an encoder and classifying the encoded data with neural network-based classifiers. We firstly identify the discourse relation realization type that holds in a given text, if there is any. Then, we move on to the sense classification of the identified explicit and implicit relations. In addition to in-domain experiments on a held-out test set from the Turkish Discourse Bank (TDB 1.2), we also report the out-domain performance of our models in order to evaluate its generalization abilities, using the Turkish part of the TED Multilingual Discourse Bank. Finally, we explore the effect of multilingual data aggregation on the classification of relation realization type through a cross-lingual experiment. The results suggest that our models perform relatively well despite the limited size of the TDB 1.2 and that there are language-specific aspects of detecting the types of discourse relation realization. We believe that the findings are important both in providing insights regarding the performance of the modern language models in a typologically different language and in the low-resource scenario, given that the TDB 1.2 is 1/20th of the Penn Discourse TreeBank in terms of the number of total relations.