bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Australian Consumers' Views on Health Information Use in Research: Systematic Review Protocol
Authors: Zakershahrak Mehrsa , Linedale Ecushla , Eley Sarah , McMillan Penelope , Earle Lana , Freeman Hannah , Keech Wendy 
Published: January 2025

Abstract

Background
Understanding consumers' and patients' expectations, perspectives, and understandings regarding the use of their health information for research purposes is essential to aligning research practices with public values and fostering trust in the research process.
Objectives
This unique systematic review aims to synthesise the existing literature on consumers' and patients' expectations regarding the use of their health information for research purposes in Australia, providing a comprehensive understanding of this crucial aspect of the research process.
Methods
A comprehensive search of electronic databases, including MEDLINE, EMBASE, Web of Science, and Scopus, for studies published in English from 2018 onwards will be conducted. Additionally, we will perform a grey literature search and screen Google Scholar. Studies will be screened and selected based on predefined inclusion and exclusion criteria. Data will be extracted, and the quality of included studies will be assessed using the Joanna Briggs Institute critical appraisal tools. A thematic synthesis approach will be used to analyse and summarise the data. Consumers will be engaged in multiple stages to guarantee that the research process is responsive to their concerns and reflects their viewpoints.
Discussion
The findings will provide insights into the transparency of the research process, consent, ownership, privacy protection, and limitations to using health data in research as perceived by consumers in Australia. This review will inform policymakers and researchers about public expectations and enhance ethical practices in health data usage for research.
Systematic Review Registration:
PROSPERO CRD42024514557
Integrated photonic 3D tensor processing engine
Authors: Lu Liangjun , Wu Yue , Ni Ziheng , Li Xin , Wang Yuanxun , Chen Jianping , Zhou Linjie 
Published: January 2025

Abstract

Optical computing leverages high bandwidth, low latency, and power efficiency, which is considered as one of the most effective solutions for accelerating deep learning tasks. However, mainstream photonic hardware accelerators are primarily optimized for two-dimensional (2D) matrix-vector multiplications (MVMs). To implement three-dimensional (3D) convolutional neural networks (CNNs), high-order tensors must be reshaped, duplicated, and cached in the electrical domain according to the size of the accelerators before computation, leading to extra memory usage and time overheads. Additionally, synchronization across multiple channels depends on external electronic clocks, which increases the complexity of the system. In this work, we propose an integrated photonic 3D tensor processing engine (3D-TPE) based on the interweaving of time, wavelength, and space. Data caching, computation, and synchronization are realized in the optical domain, reducing memory and time usage, and simplifying the system. Optical caching and synchronization are achieved with an optical tunable delay line chip supporting versatile clock frequencies up to 200 GHz, and optical computing is accomplished with a dual-coupled micro-ring resonators (MRRs) based crossbar chip with a 3-dB passband width of 50 GHz. We verify the processing capabilities of the 3D-TPE at clock frequencies ranging from 10 GHz to 30 GHz and perform a proof-of-concept experiment for a LiDAR 3D point cloud image recognition task operating at 20 GHz, achieving a recognition accuracy of 97.06%. The proposed 3D-TPE is anticipated to facilitate high-order tensor convolutions, playing an important role in autonomous driving, healthcare, video analytics, virtual reality, etc.
A general relationship between population size and extinction risk
Authors: Ball Thomas , Balmford Ben , Balmford Andrew , Rinaldo Daniele , Visconti Piero , Green Rhys 
Published: January 2025

Abstract

Understanding the relationship between a population’s probability of extinction and its carrying capacity is key in assessing conservation status, and critical to efforts to understand and mitigate the ongoing biodiversity crisis. Despite this, there has been limited research into the form of this relationship. We conducted around five billion population viability assessments which reveal that the relationship is a modified Gompertz curve. This finding is consistent across around 1700 individual model populations which represent different breeding systems and widely varying rates of population growth, levels of environmental stochasticity, adult survival rate, age at first breeding, and starting population size. Applying analytical methods to equations describing population dynamics showed that minimal assumptions were required to prove this is a general relationship which holds for any extant population subject to density-dependent growth. Finally, we discuss the implications of these findings and consider the practical use of our results by conservationists.
From Crisis to Change: Analyzing the Lasting Influence of COVID-19 on Airbnb Users through Structural Topic Modeling
Authors: Ding Kai , Li Le , Zhang Rongteng (Renata) , Chen Yuhua 
Published: January 2025

Abstract

A key challenge for the peer-to-peer (P2P) accommodation industry is keeping pace with the evolving expectations and behavior of guests over time, shaped by diverse experiences and shifting preferences. This study utilizes advanced text analytics to examine the lasting impact of COVID-19 on Airbnb users’ priorities regarding accommodation attributes, both during the pandemic and in the year that followed. Employing a longitudinal research design, we analyze a dataset of 461,509 reviews from 18,465 listed properties across four major cities in different countries (i.e., the United Kingdom, the United States, Spain) known for their Airbnb presence. Our findings highlight that the most significant and enduring impact of the pandemic on guest behavior is an increased prioritization of health-related features. Although certain attributes that were previously valued remain relevant, there has been a marked transition in user perceptions; specifically, hedonic and aesthetic values have diminished in importance relative to health-centric considerations. Furthermore, the policies and practices adopted during the pandemic reveal additional dimensions of its lasting influence, shaping guest expectations and preferences. Noteworthy among these are enhanced booking and cancellation flexibility, as well as the implementation of contactless services and the provision of protective equipment. This research contributes to understanding how crises can reshape guest priorities within the context of sharing economy accommodations, offering valuable insights for both academic researchers and practitioners.
The impact of obesity and its related underlying diseases on cytokine release syndrome and the efficacy of CAR-T therapy in treating B-cell malignancies
Authors: Du Mengyi , Mayombo Rosanna Tryphene Massounga , Liu Jiachen , Zhang Yinqiang , Liao Danying , Hu Yu , Mei Heng 
Published: January 2025

Abstract

Background: CAR-T therapy has revolutionized treatment for relapsed/refractory B-cell malignancies, including B-ALL and DLBCL. However, the influence of obesity and related comorbidities on treatment outcomes and toxicity profiles remains unclear.
Methods: This retrospective study included 115 patients treated with CAR-T therapy at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from 2017 to October 2023. Patients were stratified into high-risk and low-risk groups based on BMI and the presence of obesity-related comorbidities. Clinical outcomes, including CRS and ICANS severity, treatment efficacy, overall survival (OS), and progression-free survival (PFS), were analyzed. Logistic regression models assessed the relationships between covariates and clinical outcomes.
Results: The median BMI was 21.91 (IQR 19.265-24.365). Among the patients, 32 were overweight, and only one had a BMI over 30. Severe CRS occurred in 16 patients, with a higher proportion in those with obesity or related conditions (10.4% vs. 3.5%, p=0.01). Hyperlipidemia significantly increased the risk of severe CRS (OR=3.730, CI [1.204-11.556], p=0.022). However, being overweight, having diabetes, hypertension, coronary heart disease, or fatty liver were not significantly associated with severe CRS. Elevated total cholesterol was moderately correlated with increased IL-6 levels (R=0.637, p<0.001) and weakly with IFN-γ (R=0.337, p<0.001). Besides, overweight patients had a lower proportion of CAR-T cells post-infusion (OR=0.98, CI [0.961-1.0], p=0.048).
Conclusion: Obesity and related comorbidities did not significantly impact treatment efficacy. However, hyperlipidemia was associated with an increased risk of severe CRS, emphasizing the need for tailored risk management strategies in CAR-T therapy.
High NK Cell Levels at the End of Obinutuzumab Treatment Are Associated with Negative Minimal Residual Disease (MRD) in Chronic Lymphocytic Leukemia (CLL)
Authors: García-Muñoz Ricardo , Larreina-Pérez Javier , Rincón-López Sofia , Atencio-Matos Johelys , Alberdi-Ballina Jone , Farfán-Quiroga Giovanna , Campeny-Nájara Andrea , Esteban-Figueroa Ada , Hernández-Pérez Montserrat , Garrastachu Puy , Velasco-Ruiz Maria , Soilan-Saco Jacobo , Ramírez-Vilariño Guillermo , de Gaona Estefania Ruiz , Feliu Jesús 
Published: January 2025

Abstract

NK-cell antibody-dependent cell-mediated cytotoxicity (ADCC) is one of the main mechanisms of action of anti-CD20 monoclonal antibodies, which may affect the outcome of patients with chronic lymphocytic leukemia (CLL). We assessed whether high post-treatment NK-cell count in peripheral blood was associated with increased negative minimal residual disease (MRD) in patients receiving antibody-based therapy. Obinutuzumab forces the interaction between NK cells and CLL cells, making the number of NK cells critical for the efficacy of this monoclonal antibody. Normal NK cell counts after Obinutuzumab monotherapy are associated with achieving MRD-negative status. Group A, who did not achieve MRD-negative status, had a mean NK cell count of 36.86 cells/µL, while Group B, who achieved MRD-negative status, had a mean NK cell count of 202.29 cells/µL. NK-cell counts and MRD were measured three months after the completion of Obinutuzumab treatment. The differences were statistically significant (p < 0.05). These results underscore the relevance of evaluating NK-cell counts as a potential biomarker to predict the success of Obinutuzumab treatment. In conclusion, our study suggests that elevated NK-cell counts after Obinutuzumab treatment are associated with MRD-negative status in CLL patients.
Patterns and determinants of cardiovascular disease risk in type 2 diabetes mellitus: insights into the current state of diabetes management in Nigeria
Authors: Mohammed Jamila Abubakar , Basil Bruno , Mba Izuchukwu Nnachi , Kenechi Myke-Mbata Blessing , Okoro Ngozi Ijeoma 
Published: January 2025

Abstract

Background
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among individuals with type 2 diabetes mellitus (T2DM), especially in low- and middle-income countries. Understanding the patterns and determinants of CVD risk in these settings is essential to improving diabetes care and reducing disease burden. This study investigated the patterns and determinants of CVD risk among T2DM patients receiving specialized diabetes care in Nigeria, with the aim of informing effective risk evaluation and management strategies.
Methods
A hospital-based cross-sectional study was conducted among 150 T2DM patients in Nigeria. Demographic, clinical, and biochemical data were collected using structured research proforma. CVD risk was assessed using the Framingham Risk Score (FRS), stratified into low, moderate, and high-risk categories. Data analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 25 and Microsoft Excel. Chi-square and independent samples t-tests were used to compare variables across risk groups while multiple linear regression was employed to identify independent determinants of CVD risk.
Results
Among the study participants, 70.7% (n = 106) were categorized as having low CVD risk (mean FRS = 6.1 ± 2.2), 29.3% (n = 44) had moderate risk (mean FRS = 11.1 ± 1.2) while none were identified as high CVD risk. Hypertriglyceridemia (B = 0.012, 95% CI: 0.006–0.019, p < 0.001), longer diabetes duration (B = 0.207, 95% CI: 0.147–0.267, p < 0.001), and use of anti-hypertensive (B = -2.005, 95% CI: -2.707 – -1.303, p < 0.001) and lipid-lowering drugs (B = -2.207, 95% CI: -3.282 – -1.132, p < 0.001) were the major determinants of CVD risk status in the study population.
Conclusions
This study reveals a predominance of low and moderate CVD risk levels among Nigerian patients with T2DM, identifying hypertriglyceridemia, diabetes duration, and medication use as key determinants. The findings highlight the positive impact of specialized diabetes care in maintaining lower CVD risk levels and emphasize the importance of comprehensive, individualized strategies for cardiovascular risk evaluation and management. Integrating effective lipid control, glycaemic monitoring, and optimized medication use into routine diabetes care has the potential to significantly reduce the CVD burden in similar resource-limited settings.
Genome-wide identification of LcC2DPs gene family in Lotus corniculatus provides insights into regulatory network in response to abiotic stresses
Authors: Yang Guangfen , Liu Yujie , Gong Zouxian , Chen Siya , Song Li , Liu Shihui 
Published: January 2025

Abstract

Low temperatures and drought reduce forage yield and quality, with protein kinases crucial for plant stress response. This study examines the LcC2DPs protein kinase family in Lotus corniculatus, identifying 90 members, with some tandemly distributed on chromosomes 2–6, and grouped into 5 subfamilies (I-V). 34 homologous gene pairs were found in Arabidopsis thaliana. LcC2DP genes promoters contain hormone and stress response elements. GO analysis highlights enrichment in hormone response and kinase activity. Transcriptomic analysis links 78 genes to environmental response and stress growth, with 10 validated by qRT-PCR after treatment with 100 µM ABA and IAA, 20% PEG6000, and 4°C. Protein interaction analysis identifies 5 core proteins (LcC2DP5, 11, 15, 38, and 58) activated by drought and cold stress. Gene analysis revealed that only LcC2DP5 and LcC2DP15 share co-expression transcription factors, with bZIP, bHLH, WRKY, NAC, MYB_related, MYB, C3H, and C2H2 being prominent. These proteins are expressed under drought and cold conditions, highlighting LcC2DP5 and LcC2DP15 activity. NAC and C2H2 are vital for drought response, while bZIP and MYB_related are important for cold response. This suggests that various LcC2DPs in Lotus corniculatus respond to hormones and stress via a TF regulatory network.
Exploring the genetic link between hypothyroidism and osteoporosis in patients without cancer: a two-sample Mendelian randomization analysis
Authors: Zhang Hongfei , Li Qianyuan , Sun Xiaoying , Ji Shuqi , Peng Yuzhen , Li Yiran , Wang Xiaoxiao , Qin Danni , Zhu Guopu , Yang Shuran , He Quan , Chen Zijing , Xia Yiyang , Meng Chen , Yao Chenjiao 
Published: January 2025

Abstract

Background:
Osteoporosis (OP) is a global health issue. Essential for the metabolism of bone, thyroid function plays a crucial role. The connection between hypothyroidism and OP in individuals without cancer remains ambiguous. The aim of this study was to investigate the impact of hypothyroidism on the onset of OP in patients who did not have cancer.
Methods:
The exposures of individuals with non-cancer hypothyroidism were obtained from the publicly accessible MRC-IEU consortium of the UK Biobank, while the outcomes were derived from the GWAS of patients with OP included in the European Bioinformatics Institute (EBI) biobank. Furthermore, a two-sample Mendelian randomization (MR) method was employed to investigate the causal relationship between hypothyroidism and OP among non-cancer patients. This analysis identified single nucleotide polymorphisms (SNPs) that were closely associated with hypothyroidism in this population, which were then used as instrumental variables. Statistical analyses were conducted using four distinct approaches: inverse variance weighted (IVW), weighted median, MR Egger regression, and the weighted mode method.
Results:
We identified a total of 119 SNPs that exhibited strong associations with hypothyroidism in non-cancer patients (P < 5 × 10−8; LDr2 < 0.001). The consistent association between hypothyroidism and OP in non-cancer patients was demonstrated through various analyses: IVW yielded an odds ratio (OR) of 1.017 with a 95% confidence interval (CI) of 1.003-1.031; MR-Egger regression produced an OR of 1.018 with a 95% CI of 0.989-1.049; the weighted median estimate indicated an OR of 1.021 with a 95% CI of 1.001-1.041; and the weighted mode analysis showed an OR of 1.039 with a 95% CI of 1.003-1.076. These findings suggest that hypothyroidism is associated with the development of OP in this population. Additionally, there was no evidence of horizontal pleiotropy affecting the relationship between hypothyroidism and OP among non-cancer patients, as indicated by an MR-Egger intercept of −5.9 × 10−6 (P = 0.932).
Conclusion:
The findings from the MR analysis indicate a potential causal relationship between hypothyroidism and the occurrence of OP in non-cancer patients.
Observations of the 2021/2022 La Niña mass coral bleaching event on the soft coral genus Sarcophyton at Magnetic Island (Australia)
Authors: Borghi Stefano , Mandolini Riccardo , Briggs Nicholas D. , Wilson Saara J. , Smith Hillary A. , Trave Claudia 
Published: January 2025

Abstract

Coral reef ecosystems are declining globally due to climate change. As most ecological studies have focused on stony corals, the distribution of other benthic communities and their susceptibility to bleaching remain largely overlooked. Soft corals can form diverse and ecologically important assemblages; hence it is important to understand their distribution and quantify the impacts of heatwaves on soft coral demographics. We surveyed soft corals on two inshore fringing reefs: Geoffrey Bay (19°09'13.7"S, 146°52'09.5"E) and Alma Bay (19°08'52.9"S, 146°52'13.7"E) at Magnetic Island. We aimed to survey soft corals to genus level. Then, we quantified the size frequency distribution of Sarcophyton colonies as the most abundant genus between substrate types, and examined the susceptibility of Sarcophyton to bleaching during the La Niña mass coral bleaching event in January-March 2022. We found the reefs at Magnetic Island to support diverse soft coral communities. Sarcophyton was one of the dominant soft coral genera on rock, rubble and sand beds, and colonies of all sizes experienced bleaching. Bleaching occurrence was lower in Alma Bay than Geoffrey Bay (26.66% and 52.27% of Sarcophyton colonies bleached, respectively). Bleaching was found to be depth- and size-dependent, as deeper and larger colonies had a greater likelihood to bleach. Since larger Sarcophyton colonies were more susceptible to bleaching, the impacts on reproduction, mortality and ecosystem functioning are likely to be significant. This is the first assessment of the soft corals at Magnetic Island and of the susceptibility of a common soft coral genus on the GBR to bleaching.
Market Dynamics and Structural Change in European AquacultureSector
Authors: Fricano Stefano , Fazio Gioacchino , Pirrone Claudio 
Published: January 2025

Abstract

Aquaculture is increasingly gaining prominence as a key sector in the global food supply chain, driven by growing demand for sustainable and high-quality seafood. This research delves into the dynamics of the aquaculture industry, with a particular focus on Europe, where the sector exhibits highly heterogeneous trajectories and enterprise trends. Such diversity highlights an ongoing structural transformation within the industry, characterized by the coexistence of varied innovation strategies, production methods, and market adaptations. Employing a Schumpeterian theoretical framework, this study seeks to conceptualize these dynamics. The Schumpeterian perspective enriches the analytical framework, offering valuable insights into the drivers of structural change and the implications for policy and practice in fostering a resilient and competitive aquaculture industry. This study contributes to the academic discourse by providing a nuanced understanding of the aquaculture sector's transformation from an economic point of view.
Intelligence levels and autistic severity are important contributors of adaptive functioning and cognitive-adaptive functioning gaps in school-aged children with ASD
Authors: Jin Wen-Yuan , Song Chao , Wang Yan-Yan , Liu Xiao-Lin , Li Wen-Hao , Wu Ling-Ling , Zhu Zhi-Wei 
Published: January 2025

Abstract

Background
Children with autism spectrum disorder (ASD) frequently presented weaker adaptive functioning compared with typically developing children. Multiple affecting factors of adaptive functioning in ASD individuals had been explored in previous studies.
Methods
Data of age, gender, parental education, place of residence, behavioral intervention, attention deficit hyperactivity disorder comorbidity, Wechsler Intelligence Scale for Children (WISC) scores and Autism Diagnostic Observation Schedule (ADOS) scores were collected in 107 school-aged children with ASD. Adaptive functioning of ASD subjects were evaluated through Adaptive Behavior Assessment System (ABAS). Spearman correlation analyses were applied to investigate the associations between intelligence quotient (IQ) scores, ASD related symptoms and adaptive functioning and cognitive-adaptive functioning gaps. Hierarchical regressions were performed in sequence to examine the effects of gender, age, parental education, intelligence, autistic severity and behavioral factors on General Adaptive Composite (GAC) in children with ASD.
Results
Verbal Comprehension Index (VCI), Perceptual Reasoning Index (PRI), Working Memory Index (WMI) and Processing Speed Index (PSI) of WISC were positively correlated with Conceptual domain, Social domain and GAC (P < 0.01). There were positive correlations between VCI, PRI and PSI and Practical domain (P < 0.01). Positive associations were discovered between full-scale IQ (FSIQ) and the three domains and GAC in ABAS (P < 0.01). Social Affect (SA), Restricted and Repetitive Behavior (RRB) and Total scores of ADOS were negatively correlated with Conceptual, Social and Practical domains (P < 0.05). Comparison Scores were negatively correlated with Conceptual domain and Social domain (P < 0.05). Negative correlations were found between SA, RRB, Total scores, Comparison Scores and GAC (P < 0.05). VCI, PRI, WMI, PSI and FSIQ were positively correlated with FSIQ-Conceptual, FSIQ-Social, FSIQ-Practical and FSIQ-GAC gaps (P < 0.01). SA was inversely correlated with FSIQ-Conceptual and FSIQ-Practical gaps (P < 0.05). Total scores were inversely correlated with FSIQ-Conceptual, FSIQ-Practical and FSIQ-GAC gaps (P < 0.05). FSIQ was positively correlated with GAC in the total model (β= 0.25, P = 0.015). There were significant inverse associations between RRB and GAC in the total model (β=−0.28, P = 0.014).
Conclusions
Intelligence levels and autistic severity were important contributors of adaptive functioning in school-aged children with ASD. IQ and ASD symptoms were also crucial factors affecting the cognitive-adaptive functioning gaps in ASD.