bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determining the factors affecting the ICT use of Turkish students attending PISA-2018: Multilevel profile analysis approach
Authors: Başaran Bülent 
Published: March 2024

AbstractThis study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create differences in these profiles. For this purpose, a mixed-method analysis (Latent Profile Analysis (LPA), Multi-level Latent Profile Analysis (MLPA) and Multi-level Logistic Regression Analysis (MLRA)) were used to identify ICT usage profiles. The study analysed data from 6,890 Turkish students across 186 schools participating in PISA 2018 (Program for International Student Assessment), revealing three distinct ICT usage profiles: Profile-1 (Low-Level ICT Users (19.06%)), Profile-2 (Intermediate-Level ICT Users (71.10%)), and Profile-3 (Advanced-Level ICT Users (9.84%)). The MLRA showed that students with low ICT usage have less access to ICT resources. Students in the Low-Level ICT Users profile also had lower scores on ICT-related motivation factors (interest, competence, social interaction, and autonomy). No significant effect of ICT usage on mathematics, reading, and science scores was observed. Variance differences at student and school levels could not be fully explained by covariates at the school level (type of school, ratio of computers connected to the internet per student, lack of educational materials and personnel). However, the ratio of computers per student effectively explained these differences. According to an MLPA, schools were categorised into two groups based on ICT resources: 'high' and 'low'. In schools with high ICT resources, the proportion of students in Profile-2 was found to be 45.8%, while those in Profile-3 accounted for 9%. In contrast, in schools with low ICT resources, the percentage of students in Profile-2 was 22.45%, and in Profile-3, it was 1.82%. These findings indicate that the level of a school's ICT resources significantly impacts students' technology usage skills. A significant finding of the research is that most Turkish students use ICT at an intermediate level at home for school lessons. The COVID-19 pandemic has further increased the importance of studying at home using ICT resources.
The evaluation of gamification implementation for adult learners: A scale development study based on andragogical principles
Authors: Zainuddin Zamzami , Chu Samuel Kai Wah , Othman Juliana 
Published: March 2024

AbstractThis study utilised scale development analysis to evaluate the effectiveness of gamification based on Knowles' andragogical principle in facilitating online learning for adult students. An exploratory sequential mixed-method research design was employed, incorporating interviews and field notes to gather qualitative data for scale construction. The Gamification for Adult Questionnaires (GAQ) scale was developed via questionnaires and analysed quantitatively. The thematic analysis of qualitative interviews revealed 23 sub-themes based on the five main andragogical principles used as a foundation for the quantitative analysis scales. Initially, 47 items were constructed, but five items with low communalities were excluded and an EFA with varimax rotation was performed on the remaining 42 items. The KMO and Bartlett test yielded a satisfactory value of 0.90 Williams et al. (2010). The Chi-square test (Bartlett's method) resulted in a significant sphericity level of p < .01. The EFA results enabled the categorisation of the 42 items into four factors: independent learning (9 items), learning engagement (15 items), knowledge-experience sharing (7 items), and application to real-life situations (11 items). The high alpha coefficient of 0.97 suggests the scale is reliable, and the 42 items account for 81% of the variance. The results indicate that the GAQ scale is a valid and reliable tool for evaluating gamification based on andragogical principles in adult learning settings. This study provides a foundation for future researchers interested in exploring gamification with contemporary teaching methods and technology for adult learners using Knowles' andragogical principles.
The Index of Parental Activities, Context and Experiences (I-PACE): Psychometric Properties of a New Brief Early Parenting Questionnaire
Authors: Hughes Claire , Devine Rory T. , White Naomi , Fink Elian 
Published: March 2024

AbstractTime pressures make brevity important for parent self-report measures, yet evidence highlights the multi-faceted nature of parenting and contextual influences. To straddle these competing goals, we developed a brief (23-item) yet broad Index of Parental Activities, Context, and Experiences (I-PACE) aimed at parents of toddlers and pre-schoolers. In two studies we assessed the validity and reliability of the I-PACE. Study 1 involved 870 caregivers (95% female, 75% with degrees, 90% White British) and examined I-PACE ratings alongside; (a) ratings of children’s social-emotional skills and behavior problems; and (b) child age and parental depressive symptoms, to assess its sensitivity to contrasts in child development and parental experience. Study 2 included 191 families with 14-month-olds, for whom 188 mothers and 178 fathers completed the I-PACE and an index of life satisfaction. Supporting the replicability of findings from the I-PACE, both studies showed the same differentiated 5-factor structure (i.e., parental experiences, parenting activities, home environment quality, neighborhood environment quality and childcare environment quality). Supporting the I-PACE’s validity, Study 1 showed that all 5 factors were independently related to both children’s social-emotional skills and behavior problems, with predicted associations with child age and parental depressive symptoms. Supporting the I-PACE’s inter-rater reliability, within-couple associations were significant for parenting activities, home environment, neighborhood quality and childcare quality. Together, these findings indicate that the I-PACE offers a broad yet brief index of early parenting with good psychometric properties and we discuss promising avenues for future research.
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography
Authors: Pareek Kaushal Arun , May Daniel , Meszmer Peter , Ras Mohamad Abo , Wunderle Bernhard 
Published: March 2024

Abstract
The vision of a deep learning-empowered non-destructive evaluation technique aligns perfectly with the goal of zero-defect manufacturing, enabling manufacturers to detect and repair defects actively. However, the dearth of data in manufacturing is one of the biggest obstacles to realizing an intelligent defect detection system. This work presents a framework for bridging the data gap in manufacturing using the potential of synthetic datasets generated using the finite element method-based digital twin. The non-destructive technique under consideration is pulse infrared thermography. A large number of synthetic thermographic measurements were generated using 2D axisymmetric transient thermal simulations. The representativeness of synthetic data was thoroughly investigated at various steps of the framework, and the image segmentation model was trained separately on experimental and synthetic datasets. The study results reveal that when carefully rendered, synthetic datasets represent the experimental data well. When evaluated on real-world experimental samples, the segmentation model pre-trained on synthetic datasets generalizes well to the experimental samples. Furthermore, another advantage of synthetic datasets is the ease of labelling a large amount of data. Finally, the robustness assessment of the model was done on two new datasets: one where the complete experimental setup was changed, and the other was an open-source infrared thermography dataset
Prevalence of Neutralizing Autoantibodies Against Type I Interferon in a Multicenter Cohort of Severe or Critical COVID-19 Cases in Shanghai
Authors: Shi Dongling , Chen Jie , Zhao Meng , Tang Yuanjia , Zhao Chen , Jin Yinpeng , Tian Di , Liao Yixin , Wang Xuebi , Wang Wei , Fan Xiaohong , Yi Zhigang , Chen Xiaohua , Ling Yun 
Published: March 2024

Abstract
Objective
We sought to explore the prevalence of type I interferon-neutralizing antibodies in a Chinese cohort and its clinical implications during the Omicron variant wave of SARS-CoV-2.

Methods
Type I interferon (IFN) autoantibodies possessing neutralizing capabilities were identified using luciferase assays. The capacity of the autoantibodies for in vitro interference with antiviral activity of IFN was assessed by using a SARS-CoV-2 replicon system. An analysis of the demographic and clinical profiles of patients exhibiting neutralizing antibodies was also conducted.

Results
In this cohort, 11.8% of severe/critical cases exhibited the existence of type I IFN-neutralizing antibodies, specifically targeting IFN-α2, IFN-ω, or both, with an elderly male patient tendency. Notably, these antibodies exerted a pronounced inhibitory effect on the antiviral activity of IFN against SARS-CoV-2 under controlled in vitro conditions. Furthermore, a noteworthy correlation was discerned between the presence of these neutralizing antibodies and critical clinical parameters, including C-reactive protein (CRP) levels, D-dimer levels, and lymphocyte counts.

Conclusion
The presence of type I IFN-neutralizing antibodies is a pervasive risk factor for severe/critical COVID-19 in the Chinese population.
Translation and Psychometric Testing of the Hägerbäumer Presenteeism Scale in English
Authors: Golz Christoph , Kilcher G. , Gerlach M. , Hägerbäumer M. , Peter K. A. , Blozik E. 
Published: March 2024

Abstract
Purpose
Interest in presenteeism has increased in research. Presenteeism is a behaviour of going to work despite illness. It has been predominantly measured using single items, which introduce limitations to validity. To overcome these limitations, Hägerbäumer developed a German multi-item presenteeism scale.

Methods
The aim of the study was to provide an English translation and psychometric testing of the scale. This was conducted in two phases with native English-speaking employed adults. Phase 1 includes translation and cognitive debriefing, phase 2 testing construct validity and internal consistency reliability.

Results
Cognitive debriefing with 10 employees revealed no problems with understanding or answering the translated items. In total, 487 employed adults participated in the study, of which data from 287 were included in the analysis. For structural validity, the goodness-of-fit indicators all reached their thresholds (TLI = 0.98, CFI = 0.99, RMSEA = 0.07, SRMR = 0.02). The scale does not show differences between sexes and age groups but between sectors (F6,70.95 = 5.53, p < 0.001). The internal consistency reliability was satisfactory with α = 0.89 (CI 95%, 0.87–0.91).

Conclusion
The translated multidimensional scale for measuring presenteeism at the behavioural level demonstrated good psychometric properties in an initial validation. Further psychometric testing is required before using this scale in cross-national comparison in research and international companies.
The green window view index: automated multi-source visibility analysis for a multi-scale assessment of green window views
Authors: Bolte Anna-Maria , Niedermann Benjamin , Kistemann Thomas , Haunert Jan-Henrik , Dehbi Youness , Kötter Theo 
Published: March 2024

Abstract
Context
Providing accessible urban green spaces is crucial for planning and ensuring healthy, resilient, and sustainable cities. The importance of visually accessible urban green spaces increases due to inner urban development processes.

Objectives
This article proposes a new index, the Green Window View Index (GWVI) for analyzing and assessing visible vegetation, that promotes an integrated planning of urban green spaces and buildings at different scales and levels. It is defined as the proportion of visible vegetation area in a field of view when looking out of a specific window with a defined distance to the window.

Methods
The method for estimating GWVI consists of three steps: (a) the modeling of the three-dimensional environment, (b) the simulation of the two-dimensional window views using modern rendering engines for three-dimensional graphics, (c) the computation of the GWVI. The method is proposed and tested through a case study of the urban area of Bonn, Germany, using a Digital Terrain Model (DTM), CityGML-based semantic 3D City Model at level of detail (LoD) 2, airborne Light Detection and Ranging (LiDAR) data, and 2D land use data from the official German property cadaster information system (ALKIS).

Results
With an average processing time of 0.05 s per window view, an average GWVI of 26.00% could be calculated for the entire study area and visualized in both 2D and 3D.

Conclusion
The proposed engine generates multi-scale visibility values for various vegetation shapes. These values are intended for use in participatory citizenship and decision-making processes for analysis by architects, real-estate appraisers, investors, and urban as well as landscape planners.
The Cologne ECMM Excellence Center: A Two-Year Analysis of External Consultation Service for Invasive Fungal Infections
Authors: Salmanton-García Jon , Koehler Philipp , Grothe Jan-Hendrik , Mellinghoff Sibylle C. , Sal Ertan , Simon Michaela , Stemler Jannik , Cornely Oliver A. , Sprute Rosanne 
Published: March 2024

AbstractThe European Confederation of Medical Mycology (ECMM), formed due to the surge in invasive fungal infections (IFI), initiated the Excellence Centers program in 2016 to guide stakeholders to leading medical mycology sites. This report focuses on the Cologne ECMM Excellence Center, recognized with Diamond status for active global involvement in 2017. The center offers free consultation via email and phone, responding within 24 h for life-threatening IFI, collecting data on origin, pathogens, infection details, and more. Over two years, 189 requests were received globally, predominantly from Germany (85%), mainly involving Aspergillus spp., Mucorales, and Candida spp. Fungal mixed infections occurred in 4% of cases. The center's service effectively addresses IFI challenges, advocating for a comprehensive study encompassing all ECMM Excellence Centers to enhance global mycological care. Proactive expansion of consultancy platforms is crucial, with future analyses needed to assess expert advice's impact on patient outcomes.
The Iowa Gambling Task: Men and Women Perform Differently. A Meta-analysis
Authors: Zanini Ludovica , Picano Chiara , Spitoni Grazia Fernanda 
Published: March 2024

AbstractThe Iowa Gambling Task (IGT) was designed to assess decision-making under conditions of complexity and uncertainty; it is currently one of the most widely used tests to assess decision-making in both experimental and clinical settings. In the original version of the task, participants are given a loan of play money and four decks of cards and are asked to maximize profits. Although any single card unpredictably yields wins/losses, variations in frequency and size of gains/losses ultimately make two decks more advantageous in the long term. Several studies have previously suggested that there may be a sex-related difference in IGT performance. Thus, the present study aimed to explore and quantify sex differences in IGT performance by pooling the results of 110 studies. The meta-analysis revealed that males tend to perform better than females on the classic 100-trial IGT (UMD = 3.381; p < 0.001). Furthermore, the significant heterogeneity observed suggests high variability in the results obtained by individual studies. Results were not affected by publication bias or other moderators. Factors that may contribute to differences in male and female performance are discussed, such as functional sex-related asymmetries in the ventromedial prefrontal cortex and amygdala, as well as differences in sensitivity to wins/losses.
SWattention: designing fast and memory-efficient attention for a new Sunway Supercomputer
Authors: Wu Ruohan , Zhu Xianyu , Chen Junshi , Liu Sha , Zheng Tianyu , Liu Xin , An Hong 
Published: March 2024

AbstractIn the past few years, Transformer-based large language models (LLM) have become the dominant technology in a series of applications. To scale up the sequence length of the Transformer, FlashAttention is proposed to compute exact attention with reduced memory requirements and faster execution. However, implementing the FlashAttention algorithm on the new generation Sunway Supercomputer faces many constraints such as the unique heterogeneous architecture and the limited memory bandwidth. This work proposes SWattention, a highly efficient method for computing the exact attention on the SW26010pro processor. To fully utilize the 6 core groups (CG) and 64 cores per CG on the processor, we design a two-level parallel task partition strategy. Asynchronous memory access is employed to ensure that memory access overlaps with computation. Additionally, a tiling strategy is introduced to determine optimal SRAM block sizes. Compared with the standard attention, SWattention achieves around 2.0x speedup for FP32 training and 2.5x speedup for mixed-precision training. The sequence lengths range from 1k to 8k and scale up to 16k without being out of memory. As for the end-to-end performance, SWattention achieves up to 1.26x speedup for training GPT-style models, which demonstrates that SWattention enables longer sequence length for LLM training.
A new thread-level speculative automatic parallelization model and library based on duplicate code execution
Authors: Martínez Millán A. , Fraguela Basilio B. , Cabaleiro José C. , Rivera Francisco F. 
Published: March 2024

AbstractLoop-efficient automatic parallelization has become increasingly relevant due to the growing number of cores in current processors and the programming effort needed to parallelize codes in these systems efficiently. However, automatic tools fail to extract all the available parallelism in irregular loops with indirections, race conditions or potential data dependency violations, among many other possible causes. One of the successful ways to automatically parallelize these loops is the use of speculative parallelization techniques. This paper presents a new model and the corresponding C++ library that supports the speculative automatic parallelization of loops in shared memory systems, seeking competitive performance and scalability while keeping user effort to a minimum. The primary speculative strategy consists of redundantly executing chunks of loop iterations in a duplicate fashion. Namely, each chunk is executed speculatively in parallel to obtain results as soon as possible and sequentially in a different thread to validate the speculative results. The implementation uses C++11 threads and it makes intensive use of templates and advanced multithreading techniques. An evaluation based on various benchmarks confirms that our proposal provides a competitive level of performance and scalability.
Closed-loop recycling of lithium iron phosphate cathodic powders via citric acid leaching
Authors: Bruno Martina , Francia Carlotta , Fiore Silvia 
Published: March 2024

AbstractLithium recovery from Lithium-ion batteries requires hydrometallurgy but up-to-date technologies aren’t economically viable for Lithium-Iron-Phosphate (LFP) batteries. Selective leaching (specifically targeting Lithium and based on mild organic acids and low temperatures) is attracting attention because of decreased environmental impacts compared to conventional hydrometallurgy. This study analysed the technical and economic performances of selective leaching with 6%vv. H2O2 and citric acid (0.25-1 M, 25 °C, 1 h, 70 g/l) compared with conventional leaching with an inorganic acid (H2SO4 1 M, 40 °C, 2 h, 50 g/l) and an organic acid (citric acid 1 M, 25 °C, 1 h, 70 g/l) to recycle end of life LFP cathodes. After conventional leaching, chemical precipitation allowed to recover in multiple steps Li, Fe and P salts, while selective leaching allowed to recover Fe and P, in the leaching residues and required chemical precipitation only for lithium recovery. Conventional leaching with 1 M acids achieved leaching efficiencies equal to 95 ± 2% for Li, 98 ± 8% for Fe, 96 ± 3% for P with sulfuric acid and 83 ± 0.8% for Li, 8 ± 1% for Fe, 12 ± 5% for P with citric acid. Decreasing citric acid’s concentration from 1 to 0.25 M didn’t substantially change leaching efficiency. Selective leaching with citric acid has higher recovery efficiency (82 ± 6% for Fe, 74 ± 8% for P, 29 ± 5% for Li) than conventional leaching with sulfuric acid (69 ± 15% for Fe, 70 ± 18% for P, and 21 ± 2% for Li). Also, impurities’ amounts were lower with citric acid (335 ± 19 335 ± 19 of S mg/kg of S) than with sulfuric acid (8104 ± 2403 mg/kg of S). In overall, the operative costs associated to 0.25 M citric acid route (3.17€/kg) were lower compared to 1 M sulfuric acid (3.52€/kg). In conclusion, citric acid could be a viable option to lower LFP batteries’ recycling costs, and it should be further explored prioritizing Lithium recovery and purity of recovered materials.
Divine Power and Fluid Bodies: Tirunaṅkais in Tamil Nadu
Authors: Craddock Elaine 
Published: March 2024

AbstractThis article analyzes the complex ways in which religious practices influence the formation of identity and community among tirunaṅkais, male-to-female transgender people in Tamil Nadu. I argue that tirunaṅkais draw on longstanding religious resources to enact nonnormative identities that operate outside of the secular constructions of the modern subject that undergird governmental “uplift” efforts as well as the liberatory projects of Western feminist scholars such as Judith Butler. I focus in particular on three arenas in which tirunaṅkais negotiate their identities in specific religious and social contexts: the kinship network, the annual Kūttāṇṭavar festival, and public rituals associated with Hindu goddesses in Tamil Nadu. The tirunaṅkai kinship network deploys multiple religious rituals while at the same time transcending boundaries of religion, caste, and class in its inclusivity. The enactment of marriage and widowhood at the annual festival to Kūttāṇṭavar foregrounds the divinity of the male-female form that tirunaṅkais emulate. Serving as vehicles of the divine who embody particular goddesses through ritual possession in public temple spaces provides affirmation of their ritual efficacy and power to mediate between the human and divine worlds.