bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional connectivity is linked to working memory differences in children with reading learning disability
Authors: Flores-Gallegos Rodrigo , Fernández Thalía , Alcauter Sarael , Pasaye Erick , Albarrán-Cárdenas Lucero , Barrera-Díaz Bertha , Rodríguez-Leis Paulina 
Published: May 2024

AbstractReading learning disability (RLD) is characterized by a specific difficulty in learning to read that is not better explained by an intellectual disability, lack of instruction, psychosocial adversity, or a neurological disorder. According to the domain-general hypothesis, a working memory deficit is the primary problem. Working memory in this population has recently been linked to altered resting-state functional connectivity within the default mode network (DMN), salience network (SN), and frontoparietal network (FPN) compared to that in typically developing individuals. The main purpose of the present study was to compare the within-network functional connectivity of the DMN, SN, FPN, and reading network in two groups of children with RLD: a group with lower-than-average working memory (LWM) and a group with average working memory (AWM). All subjects underwent resting-state functional magnetic resonance imaging (fMRI), and data were analyzed from a network perspective using the network brain statistics framework. The results showed that the LWM group had significantly weaker connectivity in a network that involved brain regions in the DMN, SN, and FPN than the AWM group. Although there was no significant difference between groups in reading network in the present study, other studies have shown relationship of the connectivity of the angular gyrus, supramarginal gyrus, and inferior parietal lobe with the phonological process of reading. The results suggest that although there are significant differences in functional connectivity in the associated networks between children with LWM and AWM, the distinctive cognitive profile has no specific effect on the reading network.
‘If you are feeling alone and you are not feeling safe, it impacts everything’: a mixed-methods exploration of international students’ accommodation, subjective wellbeing and mental health help-seeking
Authors: Corney Tim , du Plessis Karin , Woods Brett , Lou Catherine , Dewhurst Anita , Mawren Daveena 
Published: May 2024

Abstract
Background
The international education sector is important not only to Australian society, but also to the national economy. There are growing concerns about the potential wellbeing challenges facing international students in their host country, owing to acculturative stress; including loneliness, isolation and experiences of racism. Risks include poor mental health and decreased likelihood to access support due to stigma, language and cultural barriers, not knowing where to seek help, and poor mental health knowledge.

Methods
This study explored students’ perceptions of their accommodation, subjective wellbeing (through the Personal Wellbeing Index, [‘PWI’]), mental health help-seeking and individual engagement with evidence-based everyday health promotion actions (informed by the ‘5 Ways to Wellbeing’ model) through an online survey (N = 375) and three online focus groups (N = 19). A mixed-methods approach using descriptive statistics, ANOVA, regression analysis and thematic analysis, were used.

Results
The PWI of international students in the survey was observed to be substantially lower (M = 60.7) than that reported for the Australian population (M = 77.5). Accommodation impacted on wellbeing (loneliness, belonging, connectedness) in a number of different ways including through location, safety, and shared accommodation. In terms of help-seeking, international students noted a number of barriers to accessing support for mental health: cost of accessing support, language and cultural barriers, lack of information on where to find support and stigma.

Conclusions
In the discussion, implications of the findings are considered, including that more could be done to shape policy and practice in service and facility provision around wellbeing, connectedness, and help-seeking for mental health support of international students.
Unraveling the synergy: how organizational intelligence fuel soft skills and nurses’ thriving: a cross-sectional study
Authors: Atalla Amal Diab Ghanem , Mahmoud Elseesy Naglaa Abdelaziz , El-Ashry Ayman Mohamed , Sharif Loujain Saud , Mahsoon Alaa , Aljohani Wafaa Farraj , Sobhi Mohamed Samia Mohamed 
Published: May 2024

Abstract
Aim
Investigate the influence of organizational intelligence on the development of soft skills and the overall thriving of nurses at Alexandria Main University Hospital in Egypt.

Design
A cross-sectional descriptive design following STROBE guidelines examined the relationship between organizational intelligence, soft skills, and nurses’ thriving.

Methods and tools
Data were collected from 740 nurses working across critical care units using structured questionnaires. The questionnaires assessed organizational intelligence, soft skills, and thriving at work. Sociodemographic characteristics, including age, gender, education, and nursing experience, were also collected. Statistical analyses were used to analyze the data, including ANOVA, t-tests, Pearson correlation, and stepwise regression.

Results
The findings revealed nurses’ positive perceptions of organizational culture and documentation skills. However, areas such as measures and rewards and staff relations and communication indicated opportunities for improvement. Nurses reported high vitality levels but needed more learning opportunities at work. Significant correlations were found between demographic variables, organizational intelligence, soft skills, and thriving. Organizational intelligence demonstrated a robust positive relationship with both soft skills and thriving. Age, gender, education, and experience significantly influenced nurses’ soft skills and thriving.

Conclusion
The study highlights the importance of organizational intelligence in enhancing nurses’ professional capabilities and well-being. Addressing demographic factors and fostering a supportive work environment is crucial for optimizing nursing practice and organizational effectiveness.

Nursing implications
Insights from this study can inform targeted interventions and policy decisions to enhance nursing practice, organizational development, and healthcare outcomes in Egypt. Fostering organizational intelligence and soft skills among nurses can improve patient care, increase job satisfaction, and overall organizational success.
Development and evaluation of time-resolved rapid immunofluorescence test for detection of TSOL18 specific antibody in porcine cysticercosis infections
Authors: Zhang Dejia , Duan Rui , Liu Jing , Wang Mengqi , Yang Yi , Zhao Yongjun , Liu Mingyuan , Sun Shumin 
Published: May 2024

Abstract
Background
Porcine cysticercosis, a serious zoonotic parasitic disease, is caused by the larvae of Taenia solium and has been acknowledged by the World Organization for Animal Health. The current detection methods of Cysticercus cellulosae cannot meet the needs of large-scale and rapid detection in the field. We hypothesized that the immunofluorescence chromatography test strip (ICS) for detecting Cysticercus cellulosae, according to optimization of a series of reaction systems was conducted, and sensitivity, specificity, and stability testing, and was finally compared with ELISA. This method utilizes Eu3+-labeled time-resolved fluorescent microspheres (TRFM) coupled with TSOL18 antigen to detect TSOL18 antibodies in infected pig sera.

Results
ICS and autopsy have highly consistent diagnostic results (n = 133), as determined by Cohen’s κ analysis (κ = 0.925). And the results showed that the proposed ICS are high sensitivity (0.9459) with specificity (0.9792). The ICS was unable to detect positive samples of other parasites. It can be stored for at least six months at 4℃.

Conclusions
In summary, we established a TRFM-ICS method with higher sensitivity and specificity than indirect ELISA. Results obtained from serum samples can be read within 10 min, indicating a rapid, user-friendly test suitable for large-scale field detection.
Development and validation of the Trust in Multidimensional Healthcare Systems Scale (TIMHSS)
Authors: Meyer Samantha B. , Brown Patrick , Calnan Michael , Ward Paul R. , Little Jerrica , Betini Gustavo S. , Perlman Christopher M. , Burns Kathleen E. , Filice Eric 
Published: May 2024

Abstract
Context
The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust.

Methods
We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively).

Findings
We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations.

Conclusions
This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes.
Diagnostic leukapheresis reveals distinct phenotypes of NSCLC circulating tumor cells
Authors: Rieckmann Lisa-Marie , Spohn Michael , Ruff Lisa , Agorku David , Becker Lisa , Borchers Alina , Krause Jenny , O’Reilly Roisin , Hille Jurek , Velthaus-Rusik Janna-Lisa , Beumer Niklas , Günther Armin , Willnow Lena , Imbusch Charles D. , Iglauer Peter , Simon Ronald , Franzenburg Sören , Winter Hauke , Thomas Michael , Bokemeyer Carsten , Gagliani Nicola , Krebs Christian F. , Sprick Martin , Hardt Olaf , Riethdorf Sabine , Trumpp Andreas , Stoecklein Nikolas H. , Peine Sven , Rosenstiel Philipp , Pantel Klaus , Loges Sonja , Janning Melanie 
Published: May 2024

Abstract
Background
Circulating tumor cells (CTCs) hold immense promise for unraveling tumor heterogeneity and understanding treatment resistance. However, conventional methods, especially in cancers like non-small cell lung cancer (NSCLC), often yield low CTC numbers, hindering comprehensive analyses. This study addresses this limitation by employing diagnostic leukapheresis (DLA) to cancer patients, enabling the screening of larger blood volumes. To leverage DLA’s full potential, this study introduces a novel approach for CTC enrichment from DLAs.

Methods
DLA was applied to six advanced stage NSCLC patients. For an unbiased CTC enrichment, a two-step approach based on negative depletion of hematopoietic cells was used. Single-cell (sc) whole-transcriptome sequencing was performed, and CTCs were identified based on gene signatures and inferred copy number variations.

Results
Remarkably, this innovative approach led to the identification of unprecedented 3,363 CTC transcriptomes. The extensive heterogeneity among CTCs was unveiled, highlighting distinct phenotypes related to the epithelial-mesenchymal transition (EMT) axis, stemness, immune responsiveness, and metabolism. Comparison with sc transcriptomes from primary NSCLC cells revealed that CTCs encapsulate the heterogeneity of their primary counterparts while maintaining unique CTC-specific phenotypes.

Conclusions
In conclusion, this study pioneers a transformative method for enriching CTCs from DLA, resulting in a substantial increase in CTC numbers. This allowed the creation of the first-ever single-cell whole transcriptome in-depth characterization of the heterogeneity of over 3,300 NSCLC-CTCs. The findings not only confirm the diagnostic value of CTCs in monitoring tumor heterogeneity but also propose a CTC-specific signature that can be exploited for targeted CTC-directed therapies in the future. This comprehensive approach signifies a major leap forward, positioning CTCs as a key player in advancing our understanding of cancer dynamics and paving the way for tailored therapeutic interventions.
EGF-like growth factors upregulate pentraxin 3 expression in human granulosa-lutein cells
Authors: Li Yuxi , Chang Hsun-Ming , Zhu Hua , Sun Ying-Pu , Leung Peter C. K. 
Published: May 2024

AbstractThe epidermal growth factor (EGF)-like factors, comprising amphiregulin (AREG), betacellulin (BTC), and epiregulin (EREG), play a critical role in regulating the ovulatory process. Pentraxin 3 (PTX3), an essential ovulatory protein, is necessary for maintaining extracellular matrix (ECM) stability during cumulus expansion. The aim of this study was to investigate the impact of EGF-like factors, AREG, BTC, and EREG on the expression and production of PTX3 in human granulosa-lutein (hGL) cells and the molecular mechanisms involved. Our results demonstrated that AREG, BTC, and EREG could regulate follicular function by upregulating the expression and increasing the production of PTX3 in both primary (obtained from 20 consenting patients undergoing IVF treatment) and immortalized hGL cells. The upregulation of PTX3 expression was primarily facilitated by the activation of the extracellular signal-regulated kinase 1 and 2 (ERK1/2) signaling pathway, induced by these EGF-like factors. In addition, we found that the upregulation of PTX3 expression triggered by the EGF-like factors was completely reversed by either pretreatment with the epidermal growth factor receptor (EGFR) inhibitor, AG1478, or knockdown of EGFR, suggesting that EGFR is crucial for activating the ERK1/2 signaling pathway in hGL cells. Overall, our findings indicate that AREG, BTC, and EREG may modulate human cumulus expansion during the periovulatory stage through the upregulation of PTX3.
Assessing the impact of physical activity on reducing depressive symptoms: a rapid review
Authors: Samsudin Nadia , Bailey Richard Peter , Ries Francis , Hashim Siti Nur Aafifah Binti , Fernandez Janet Ann 
Published: May 2024

Abstract
Context
The prevalence of depression among teenagers is a significant issue worldwide, which calls for a thorough investigation of non-drug treatments. This expedited evaluation examines 24 specifically chosen studies to clarify the correlation between physical activity depression symptoms in teenagers, undertaken following PRISMA principles.

Methods
A wide range of research methods, including longitudinal studies, surveys, and cross-sectional analyses, were used in different nations to understand the intricate relationship between physical activity, sedentary behaviours, and depression symptoms. The data-gathering methods included standardised questionnaires, accelerometer measurements, and self-report instruments.

Findings
The review highlights the crucial significance of engaging in physical activity to alleviate depression symptoms. Improved self-esteem consistently acts as a crucial intermediary between participation in physical activity and decreased rates of depression. Engaging in physical activity is a safeguard, particularly for individuals with restricted access to physical activity. In contrast, a sedentary lifestyle greatly increases the probability of developing moderate to severe symptoms of depression. Gender differences are apparent, with females being disproportionately impacted by depression. There are strong connections between engaging in physical activity and reducing symptoms of depression, which can be observed in various situations, such as participating in team sports or engaging in leisure activities.

Conclusion
This study provides insight into the potential of physical activity as a non-pharmacological approach to address adolescent depression. This highlights the significant impact of physical activity, which has important implications for public health programs aimed at improving the mental well-being of adolescents by promoting physical activity. It is crucial to do additional research that considers gender-specific variations and various physical activity circumstances to enhance our comprehension of this important matter.
A mobile edge computing-focused transferable sensitive data identification method based on product quantization
Authors: Zhao Xinjian , Yuan Guoquan , Qiu Shuhan , Xu Chenwei , Wei Shanming 
Published: May 2024

AbstractSensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the industrial internet, including its interconnectivity across various sectors like the electric power industry, the potential for sensitive data to traverse different domains increases, thereby altering the composition of sensitive data. Consequently, traditional approaches reliant on sensitive vocabularies struggle to adequately address the challenges posed by identifying sensitive data in the era of information abundance. Drawing inspiration from advancements in natural language processing within the realm of deep learning, we propose a transferable Sensitive Data Identification method based on Product Quantization, named PQ-SDI. This innovative approach harnesses both the composition and contextual cues within textual data to accurately pinpoint sensitive information within the context of Mobile Edge Computing (MEC). Notably, PQ-SDI exhibits proficiency not only within a singular domain but also demonstrates adaptability to new domains following training on heterogeneous datasets. Moreover, the method autonomously identifies sensitive data throughout the entire process, eliminating the necessity for human upkeep of sensitive vocabularies. Extensive experimentation with the PQ-SDI model across four real-world datasets, resulting in performance improvements ranging from 2% to 5% over the baseline model and achieves an accuracy of up to 94.41%. In cross-domain trials, PQ-SDI achieved comparable accuracy to training and identification within the same domain. Furthermore, our experiments showcased the product quantization technique significantly reduces the parameter size by tens of times for the subsequent sensitive data identification phase, particularly beneficial for resource-constrained environments characteristic of MEC scenarios. This inherent advantage not only bolsters sensitive data protection but also mitigates the risk of data leakage during transmission, thus enhancing overall security measures in MEC environments.
Prevalence estimates of Opisthorchis viverrini and Clonorchis sinensis infection in the Greater Mekong subregion: a systematic review and meta-analysis
Authors: Sota Pornphutthachat , Andityas Morsid , Kotepui Manas , Sripa Banchob 
Published: May 2024

Abstract
Background
Opisthorchiasis and clonorchiasis, caused by Opisthorchis viverrini and Clonorchis sinensis, respectively, are significant yet neglected foodborne trematodiases in the Great Mekong Subregion (GMS). Despite the reporting of the prevalence of these human liver flukes in the region over the past decades, there has been a lack of a comprehensive and systematic consolidation of this data. Therefore, we aimed to conduct a thorough systematic review and meta-analysis to synthesize and analyze time-trend prevalence estimates of both O. viverrini and C. sinensis across the GMS for the past 30 years.

Methods
This study undertakes a systematic review using a comprehensive search for published articles in PubMed, EMBASE, Scopus, Cochrane and Thai Journal Online databases until early 2023. The pooled prevalence of O. viverrini and C. sinensis infection was analyzed through a random-effects meta-analysis, with meta-regression analysis used to quantify associations with study characteristics. Sub-group analysis was conducted, whenever comparison data were available, to assess the risk of O. viverrini and C. sinensis infection in each GMS country. Heterogeneity among studies was assessed using the Q statistic and quantified by using the I2 Index.

Results
From a total of 2997 articles, 155 articles comprising 218 datasets and 751,108 participants were included for review. The GMS prevalence of O. viverrini was 21.11% [45,083/260,237; 95% confidence interval (CI): 17.74–24.47%]. Pooled prevalence estimates were highly observed in Laos (34.06%, 95% CI: 26.85–41.26%), followed by Thailand (18.19%, 95% CI: 13.86–22.51%), and Cambodia (10.48%, 95% CI: 5.52–15.45%). Myanmar and Vietnam had limited data sources for calculation. Clonorchis sinensis infection in GMS was 25.33% (95% CI: 18.32–32.34%), with Guangxi, China, exhibiting the highest prevalence rates at 26.89% (95% CI: 18.34–35.43%), while Vietnam had a prevalence rate of 20.30% (95% CI: 9.13–31.47%). O. viverrini prevalence decreased significantly over time, whereas C. sinensis infection appeared to be stable consistently over time in both China and Vietnam.

Conclusions
This comprehensive study, drawing from the largest datasets to date, offers an in-depth systematic prevalence review of human liver flukes in the Greater Mekong Subregion. It underscores the imperative for systematic surveillance, data collection, and the implementation of intervention and control measures for these infectious diseases of poverty.

Graphical Abstract
Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use
Authors: Acosta-Enriquez Benicio Gonzalo , Arbulú Ballesteros Marco Agustín , Huamaní Jordan Olger , López Roca Carlos , Saavedra Tirado Karina 
Published: May 2024

Abstract
Background
In recent years, the use of artificial intelligence (AI) in education has increased worldwide. The launch of the ChatGPT-3 posed great challenges for higher education, given its popularity among university students. The present study aimed to analyze the attitudes of university students toward the use of ChatGPTs in their academic activities.

Method
This study was oriented toward a quantitative approach and had a nonexperimental design. An online survey was administered to the 499 participants.

Results
The findings of this study revealed a significant association between various factors and attitudes toward the use of the ChatGPT. The higher beta coefficients for responsible use (β=0.806***), the intention to use frequently (β=0.509***), and acceptance (β=0.441***) suggested that these are the strongest predictors of a positive attitude toward ChatGPT. The presence of positive emotions (β=0.418***) also plays a significant role. Conversely, risk (β=-0.104**) and boredom (β=-0.145**) demonstrate a negative yet less decisive influence. These results provide an enhanced understanding of how students perceive and utilize ChatGPTs, supporting a unified theory of user behavior in educational technology contexts.

Conclusion
Ease of use, intention to use frequently, acceptance, and intention to verify information influenced the behavioral intention to use ChatGPT responsibly. On the one hand, this study provides suggestions for HEIs to improve their educational curricula to take advantage of the potential benefits of AI and contribute to AI literacy.