bluuebunny/crossref_metadata_2025_split huggingface dataset:
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering
Authors: Jiang Hanjing , Huang Yabing , Li Qianpeng , Feng Boyuan 
Published: November 2023

Abstract
Motivation
Categorizing cells into distinct types can shed light on biological tissue functions and interactions, and uncover specific mechanisms under pathological conditions. Since gene expression throughout a population of cells is averaged out by conventional sequencing techniques, it is challenging to distinguish between different cell types. The accumulation of single-cell RNA sequencing (scRNA-seq) data provides the foundation for a more precise classification of cell types. It is crucial building a high-accuracy clustering approach to categorize cell types since the imbalance of cell types and differences in the distribution of scRNA-seq data affect single-cell clustering and visualization outcomes.

Result
To achieve single-cell type detection, we propose a meta-learning-based single-cell clustering model called ScLSTM. Specifically, ScLSTM transforms the single-cell type detection problem into a hierarchical classification problem based on feature extraction by the siamese long-short term memory (LSTM) network. The similarity matrix derived from the improved sigmoid kernel is mapped to the siamese LSTM feature space to analyze the differences between cells. ScLSTM demonstrated superior classification performance on 8 scRNA-seq data sets of different platforms, species, and tissues. Further quantitative analysis and visualization of the human breast cancer data set validated the superiority and capability of ScLSTM in recognizing cell types.
A newly identified glycosyltransferase AsRCOM provides resistance to purple curl leaf disease in agave
Authors: Lu Zhiwei , Hou Xiaowan , Ke Zhi , Zhang Yanmei , Yang ZiPing , Zhou Wenzhao 
Published: November 2023

Abstract
Background
Purple curl leaf disease brings a significant threat to the development of agave industry, the underlying mechanism of disease-resistant Agave sisalana. hybrid 11648 (A. H11648R) is still unknown.

Results
To excavate the crucial disease-resistant genes against purple curl leaf disease, we performed an RNA-seq analysis for A.H11648R and A.H11648 during different stages of purple curl leaf disease. The DEGs (differentially expressed genes) were mainly enriched in linolenic acid metabolism, starch and sucrose mechanism, phenylpropanoid biosynthesis, hypersensitive response (HR) and systemic acquired resistance. Further analysis suggested that eight candidate genes (4’OMT2, ACLY, NCS1, GTE10, SMO2, FLS2, SQE1 and RCOM) identified by WGCNA (weighted gene co-expression network analysis) may mediate the resistance to agave purple curl disease by participating the biosynthesis of benzylisoquinoline alkaloids, steroid, sterols and flavonoids, and the regulation of plant innate immunity and systemic acquired resistance. After qPCR verification, we found that AsRCOM, coding a glycosyltransferase and relevant to the regulation of plant innate immunity and systemic acquired resistance, may be the most critical disease-resistant gene. Finally, the overexpression of AsRCOM gene in agave could significantly enhance the resistance to purple curl disease with abundant reactive oxygen species (ROS) accumulations.

Conclusions
Integrative RNA-seq analysis found that HR may be an important pathway affecting the resistance to purple curl leaf disease in agave, and identified glycosyltransferase AsRCOM as the crucial gene that could significantly enhance the resistance to purple curl leaf disease in agave, with obvious ROS accumulations.
Causal effects of genetically vitamins and sepsis risk: a two-sample Mendelian randomization study
Authors: Lou Chen , Meng Zhizhen , Shi Yiyi , Zheng Rui , Pan Jingye , Qian Songzan 
Published: November 2023

Abstract
Background
In recent years, observational studies have been conducted to investigate the potential impact of vitamins on sepsis. However, many of these studies have produced inconsistent results. Our Mendelian randomization (MR) study aims to evaluate the causality between vitamins and sepsis from a genetic perspective.

Methods
Our MR study was designed following the STROBE-MR guidelines. Genetic instrumental variables for vitamins including folate, vitamin B12, B6, A (Retinol), C, D, and K were obtained from previous genome-wide association studies (GWAS) and MR studies. Five different sepsis severity levels were included in the analysis. The genetic instrumental variables were screened for potential confounders using PhenoScanner V2. MR analysis was performed using MR-egger, inverse-variance weighted multiplicative random effects (IVW-RE), inverse-variance weighted multiplicative fixed-effects (IVW-FE), and wald ratio methods to assess the relationship between vitamins and sepsis. Sensitivity analysis was performed using the MR-egger_intercept method, and the MR-PRESSO package and Cochran’s Q test were used to evaluate the heterogeneity of the instrumental variables.

Results
Our MR study found no statistically significant association between vitamins and sepsis risk, regardless of the type of vitamin (P-value > 0.05). The odds ratios (ORs) for folate, vitamin B6, vitamin B12, vitamin A, vitamin D, vitamin K, and vitamin C were 1.164 (95% CI: 0.895–1.514), 0.987 (95% CI: 0.969–1.005), 0.975 (95% CI: 0.914–1.041), 0.993 (95% CI: 0.797–1.238), 0.861 (95% CI: 0.522–1.42), 0.955 (95% CI: 0.86–1.059), and 1.049 (95% CI: 0.911–1.208), respectively. Similar results were observed in subgroups of different sepsis severity levels.

Conclusions
Our MR study found no evidence of a causal association between vitamins and sepsis risk from a genetic perspective. Further randomized controlled trials are necessary to confirm these results.
A study of adverse maternal-foetal outcomes in nephrotic syndrome combined with preeclampsia
Authors: Li Dong , Zhang Minyi , Xu Shuxiu , Bian Ziwei , Huang Xiaoli , Hu Guifang , Li Jing 
Published: November 2023

Abstract
Background
Although the majority of pregnancies with preeclampsia are characterised by elevated blood pressure, preeclampsia is often associated with nephrotic syndrome with similar symptoms such as high proteinuria and bilateral lower limb oedema. In this study, we compared the maternal–foetal outcomes of pregnant women with preeclampsia in a population with nephrotic syndrome and explored the factors that contribute to the corresponding outcomes and disease development.

Methods
A total of 90 pregnant women were included in this study, of whom 30 had nephrotic syndrome and were diagnosed with preeclampsia during pregnancy, and 60 had nephrotic syndrome alone. Descriptive statistical analyses of baseline data were performed to analyse the effect of combined preeclampsia on maternal and foetal pregnancy outcomes using unadjusted and adjusted logistic regression models.

Results
In this study, the baseline data of the two study populations demonstrated no differences except for the history of caesarean section and 24-h proteinuria results, which were significantly different (P < 0.05). The risk of preterm birth in the nephrotic syndrome with preeclampsia group was 8.25 (95% CI:3.041–22.084 P < 0.05); for a low birth weight, the risk was 6.00 (95% CI:2.302–15.638 P < 0.05); for foetal distress,the risk was 5.667 (95% CI:2.070–15.514 P < 0.05); and the risk of foetal birth restriction was 7.429 (95% CI: 2.642–20.885 P < 0.05). A risk-based analysis of adverse maternal outcomes yielded a risk of miscarriage of 2.200 (95% CI: 0.584–8.291; P > 0.05). After adjusting the model for each outcome, significant risks of preterm labour, foetal birth restriction, and low birth weight were revealed (P < 0.05).

Conclusion
Combined preeclampsia has a significantly higher risk of adverse pregnancy outcomes for the foetus.Therefore, the prevention and control of eclampsia in pregnant women should be improved to ensure maternal and neonatal health.
Are the sensorimotor control capabilities of the hands the factors influencing hand function in people with schizophrenia?
Authors: Lai Yu-Jen , Lin Yu-Chen , Hsu Chieh-Hsiang , Tseng Huai-Hsuan , Lee Chia-Ning , Huang Pai-Chuan , Hsu Hsiu-Yun , Kuo Li-Chieh 
Published: November 2023

Abstract
Background
Previous works reported people with schizophrenia experienced inferior hand functions which influence their daily participation and work efficiency. Sensorimotor capability is one of indispensable elements acting in a well-executed feed-forward and feedback control loop to contribute to hand performances. However, rare studies investigated contribution of sensorimotor ability to hand functions for people with schizophrenia. This study aimed to explore hand function in people with schizophrenia based on the perspective of the sensorimotor control capabilities of the hands.

Methods
Twenty-seven people at the chronic stage of schizophrenia were enrolled. The following assessment tools were used: the Purdue Pegboard Test (PPT) and the VALPAR Component Work Sample-8 (VCWS 8) system for hand function; the Self-Reported Graphic version of the Personal and Social Performance (SRG-PSP) scale for functionality; and the Semmes-Weinstein Monofilaments (SWM), the pinch-holding-up-activity (PHUA) test and the Manual Tactile Test (MTT) for the sensory and sensorimotor parameters. The Clinical Global Impression-Severity (CGI-S) scale and the Extrapyramidal Symptom Rating Scale (ESRS) were used to grade the severity of the illness and the side-effects of the drugs. Spearman’s rank correlation coefficient was used to analyze associations among hand function, functionality, and sensorimotor capabilities. A multiple linear regression analysis was used to identify the determinants of hand function.

Results
The results indicated that both hand function and sensorimotor capability were worse in people with schizophrenia than in healthy people, with the exception of the sensory threshold measured with the SWM. Moreover, the sensorimotor abilities of the hands were associated with hand function. The results of the regression analysis showed that the MTT measure of stereognosis was a determinant of the PPT measure of the dominant hand function and of the performance on the VCWS 8, and that the ESRS and the MTT measure of barognosis were determinants of the performance on the assembly task of the PPT.

Conclusions
The findings suggested that sensorimotor capabilities, especially stereognosis and barognosis, are crucial determinants of hand function in people with schizophrenia. The results also revealed that the side effects of drugs and the duration of the illness directly affect hand function.

Clinical Trail Registration
ClinicalTrials.gov, identifier NCT04941677, 28/06/2021.
Smart phone addiction and its mental health risks among university students in Jordan: a cross-sectional study
Authors: Abuhamdah Sawsan M A , Naser Abdallah Y 
Published: November 2023

AbstractBackgroundAddiction to smart phones is classified clinically as behavioral addiction resulted from an excessive problematic usage of smart phones that effect the daily life of the users. Therefore, this study aims to explore the prevalence of smart phone addiction, its associated psychological distress risk, and its associated predictors among university students in Jordan.MethodsBetween November 2022 and January 2023, a cross-sectional online survey study was conducted in Jordan. In this study, we used previously developed questionnaire instruments, the psychological Distress scale of Kessler and the Smartphone Addiction Scale. A score of 30 was used to identify the dummy variable in the binary logistic regression analysis to identify predictors of severe psychological distress, and smartphone addiction score of 38.7 was used to to identify predictors of smartphone addiction.ResultsA total of 2337 university students participated in this study. The mean psychological distress score for the study participants was 30.0 (SD: 8.9). More than half of the study participants (59.1%) had a psychological distress score of 30 and above, which indicates a severe mental disorder state. More than half of the study participants (56.7%) had a smartphone addiction score of 30 and above, which reflects a smartphone addiction state. Females, divorced, those who feel that their mental abilities have been negatively affected by the use of smart phones, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to have severe psychological distress compared to others (p < 0.05). Females, those who feel that using smartphones has affected their sleep and made it harder to fall asleep, and those feel that everything requires effort and fatigue, and they do not want to do any activity that requires effort were more likely to be smartphone addicted compared to others (p < 0.05).ConclusionMental diseases are a major public health concern in Jordan, especially among university students. Females, those who thought smartphone usage hurt their mental capacities, and those who had trouble sleeping and fatigue were more likely to develop serious psychological discomfort and smartphone addiction. Smartphones are indispensable, but excessive use can lead to addiction and harm university students’ mental health.
Influence of social deprivation on morbidity and all-cause mortality of cardiometabolic multi-morbidity: a cohort analysis of the UK Biobank cohort
Authors: Jiang Zhou , Zhang Shuo , Zeng Ping , Wang Ting 
Published: November 2023

Abstract
Background
The relation of social deprivation with single cardiometabolic disease (CMD) was widely investigated, whereas the association with cardiometabolic multi-morbidity (CMM), defined as experiencing more than two CMDs during the lifetime, is poorly understood.

Methods
We analyzed 345,417 UK Biobank participants without any CMDs at recruitment to study the relation between social deprivation and four CMDs including type II diabetes (T2D), coronary artery disease (CAD), stroke and hypertension. Social deprivation was measured by Townsend deprivation index (TDI), and CMM was defined as occurrence of two or more of the above four diseases. Multivariable Cox models were performed to estimate hazard ratios (HRs) per one standard deviation (SD) change and in quartile (Q1-Q4, with Q1 as reference), as well as 95% confidence intervals (95% CIs).

Results
During the follow up, 68,338 participants developed at least one CMD (median follow up of 13.2 years), 16,225 further developed CMM (median follow up of 13.4 years), and 18,876 ultimately died from all causes (median follow up of 13.4 years). Compared to Q1 of TDI (lowest deprivation), the multivariable adjusted HR (95%CIs) of Q4 (highest deprivation) among participants free of any CMDs was 1.23 (1.20 ~ 1.26) for developing one CMD, 1.42 (1.35 ~ 1.48) for developing CMM, and 1.34 (1.27 ~ 1.41) for all-cause mortality. Among participants with one CMD, the adjusted HR (95%CIs) of Q4 was 1.30 (1.27 ~ 1.33) for developing CMM and 1.34 (1.27 ~ 1.41) for all-cause mortality, with HR (95%CIs) = 1.11 (1.06 ~ 1.16) for T2D patients, 1.07 (1.03 ~ 1.11) for CAD patients, 1.07 (1.00 ~ 1.15) for stroke patients, and 1.24 (1.21 ~ 1.28) for hypertension patients. Among participants with CMM, TDI was also related to the risk of all-cause mortality (HR of Q4 = 1.35, 95%CIs 1.28 ~ 1.43).

Conclusions
We revealed that people living with high deprived conditions would suffer from higher hazard of CMD, CMM and all-cause mortality.
Improving global health security through implementation of the National Action Plan for Health Security in Sierra Leone, 2018–2021: lessons from the field
Authors: Njuguna Charles , Vandi Mohamed , Singh Tushar , Njeru Ian , Githuku Jane , Gachari Wilson , Musoke Robert , Caulker Victor , Bunting-Graden Joseph , Mahar Michael , Brown Sydney Morgan , Bah Mohamed Alpha , Idriss Mo-Bashir , Talisuna Ambrose , Chamla Dick , Yoti Zabulon , Sreedharan Rajesh , Suryantoro Ludy , Gueye Abdou Salam , Chungong Stella 
Published: November 2023

Abstract
Background
All countries are required to implement International Health Regulations (IHR) through development and implementation of multi-year National Action Plans for Health Security (NAPHS). IHR implementation requires annual operational planning which involves several tools such as NAPHS, State Party Annual Report (SPAR), Joint External Evaluation (JEE) and WHO IHR Benchmarks tool. Sierra Leone has successfully improved IHR capacities across the years through successful annual operational planning using the above tools. We conducted a study to document and share the country’s unique approach to implementation of NAPHS.

Methods
This was an observational study where the process of implementing and monitoring NAPHS in Sierra Leone was observed at the national level from 2018 to 2021. Data was obtained through review and analysis of NAPHS annual operational plans, quarterly review reports and annual IHR assessment reports. Available data was supplemented by information from key informants. Qualitative data was captured as notes and analysed for various themes while quantitative data was analyzed mainly for means and proportions.

Results
The overall national IHR Joint External Evaluation self-assessment score for human health improved from 44% in 2018 to 51% in 2019 and 57% in 2020. The score for the animal sector improved from 32% in 2018 to 43% in 2019 and 52% in 2020. A new JEE tool with new indicators was used in 2021 and the score for both human and animal sectors declined slightly to 51%. Key enablers of success included strong political commitment, whole-of-government approach, annual assessments using JEE tool, annual operational planning using WHO IHR Benchmarks tool and real time online monitoring of progress. Key challenges included disruption created by COVID-19 response, poor health infrastructure, low funding and inadequate health workforce.

Conclusion
IHR annual operational planning and implementation using evidence-based data and tools can facilitate strengthening of IHR capacity and should be encouraged.
Upregulating miR-181b promotes ferroptosis in osteoarthritic chondrocytes by inhibiting SLC7A11
Authors: Wang Dexin , Fang Yu , Lin Liang , Long Wensuo , Wang Lei , Yu Liwei , Deng Huaiming , Wang Dan 
Published: November 2023

Abstract
Background
Osteoarthritis (OA) is a common disease with a complex pathology. This study aimed to investigate the correlation between the aberrant upregulation of miR-181b and ferroptosis in chondrocytes during the progression of OA.

Methods
An OA cell model was constructed with erastin. Ferrostatin-1 (Fer), bioinformatics, and dual-luciferase activity reports were used to investigate the effect of miR-181b on OA. Finally, a rat model of OA was induced by monosodium iodoacetate to verify that miR-181b inhibits SLC7A11 gene expression and increases ferroptosis.

Results
The results showed that Fer could effectively reverse the erastin-induced inhibition of human chondrocyte viability, increase the level of collagenous proteins in human chondrocytes, and inhibit oxidative stress and ferroptosis. MiR-181b is abnormally elevated in OA cell models. Transfection of a miR-181b inhibitor could increase the expression levels of the ferroptosis-related proteins solute carrier family 7 members 11 (SLC7A11) and glutathione peroxidase 4 (GPX4), thereby inhibiting the occurrence of ferroptosis in chondrocytes. In addition, hsa-miR-181b-5p and SLC7A11 have a targeted regulatory effect. Transfection of SLC7A11 siRNA effectively abrogated the increase in chondrocyte viability induced by the miR-181 inhibitor and increased ferroptosis. Finally, miR-181b was shown to exacerbate OA disease progression by inhibiting SLC7A11 gene expression and increasing ferroptosis in a rat OA model.

Conclusions
Elevating miR-181b may mediate chondrocyte ferroptosis by targeting SLC7A11 in OA.
Reflective learning conversations model for simulation debriefing: a co-design process and development innovation
Authors: Almomani Emad , Sullivan Jacqueline , Saadeh Omar , Mustafa Emad , Pattison Natalie , Alinier Guillaume 
Published: November 2023

AbstractBackgroundHealth practitioners must be equipped with effective clinical reasoning skills to make appropriate, safe clinical decisions and avoid practice errors. Under-developed clinical reasoning skills have the potential to threaten patient safety and delay care or treatment, particularly in critical and acute care settings. Simulation-based education which incorporates post-simulation reflective learning conversations as a debriefing method is used to develop clinical reasoning skills while patient safety is maintained. However, due to the multidimensional nature of clinical reasoning, the potential risk of cognitive overload, and the varying use of analytic (hypothetical-deductive) and non-analytic (intuitive) clinical reasoning processes amongst senior and junior simulation participants, it is important to consider experience, competence, flow and amount of information, and case complexity related factors to optimize clinical reasoning while attending group- based post-simulation reflective learning conversations as a debriefing method. We aim to describe the development of a post-simulation reflective learning conversations model in which a number of contributing factors to achieve clinical reasoning optimization were addressed.MethodsA Co-design working group (N = 18) of doctors, nurses, researchers, educators, and patients’ representatives collaboratively worked through consecutive workshops to co-design a post-simulation reflective learning conversations model to be used for simulation debriefing. The co-design working group established the model through a theoretical and conceptual-driven process and multiphasic expert reviews. Concurrent integration of appreciative inquiry, plus/delta, and Bloom’s Taxonomy methods were considered to optimize simulation participants’ clinical reasoning while attending simulation activities. The face and content validity of the model were established using the Content Validity Index CVI and Content Validity Ratio CVR methods.ResultsA Post-simulation reflective learning conversations model was developed and piloted. The model was supported with worked examples and scripted guidance. The face and content validity of the model were evaluated and confirmed.ConclusionsThe newly co-designed model was established in consideration to different simulation participants’ seniority and competence, flow and amount of information, and simulation case complexity. These factors were considered to optimize clinical reasoning while attending group-based simulation activities.