bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suicide attempt among Malaysian school-going adolescents: relationship with bullying
Authors: Liew Siaw Hun , Razak Mohamad Aznuddin Abd , Kassim Mohd Shaiful Azlan , Ahmad Noor Ani , Tan LeeAnn 
Published: November 2023

Abstract
Background
According to World Health Organization (WHO), the fourth leading cause of death among adolescents aged 15 -19 years is suicide. The National Health and Morbidity Survey (NHMS) 2017 reported that suicidal attempts among school adolescents increased from 6.8%—6.9% as compared to NHMS 2012. Suicide attempts can cause significant negative impacts on health, social and economic status. Bullying is one of the factors for adolescent suicide attempts, and its relationship to suicidality in adolescents has been shown in numerous research.

Objectives
This study examined the relationship between suicide attempts and bullying among school adolescents in Malaysia.

Methods
Data from the Malaysia NHMS 2017, a nationwide study that adopted a two-stage cluster sampling design, were analysed. The survey used a self-administered questionnaire in bilingual language adapted from GSHS developed by WHO. Participants were secondary school students aged 13 -17 in all states. Descriptive and multiple logistic regression analyses were performed using IBM SPSS version 28.

Results
A total of 27,497 school adolescents participated in the study. Results showed that 6.9% of school adolescents had attempted suicide. There was 16.2% of adolescents being bullied. Multiple logistic regression revealed that students who were bullied were more likely to have suicide attempts (aOR 4.827, 95% CI: 4.143, 5.624) P < 0.001.

Discussion/conclusion
This study revealed that bullying is associated with suicide attempts among school adolescents in Malaysia. The respective authority should consider and plan effective measures to curb bullying among school adolescents.
The development and evaluation of the worker-occupation fit inventory
Authors: Lv Keyao , Sun Ruican , Chen Xiaofang , Lan Yajia 
Published: November 2023

Abstract
Background
Person-environment fit (PEF) theory, one of the foundational theories of occupational stress, has primarily found applications in organizational behavior and human resource management. Given the alignment between the definition of occupational stress and the essence of PEF, we introduced the concept of worker-occupation fit (WOF). To validate our theoretical model, the development of an instrument to measure WOF becomes imperative.

Methods
The Worker-Occupation Fit Inventory (WOFI) comprises three dimensions: personal trait fit (PTF), need-supply fit (NSF) and demand-ability fit (DAF). Job-related mental disorders (JRMDs) were assessed using the DASS-21. During the pre-investigation, items of the WOFI underwent screening through classic test theory (CTT) analysis. In the formal investigation, item response theory (IRT) analysis was employed to evaluate the selected items. The relationship between WOF and JRMD was verified by Pearson’s correlation analysis and multiple logistic regression analysis.

Results
The initial version consisted of 26 items. Three common factors were extracted by exploratory factor analysis (EFA): 6 items were included in the PTF, 6 items were included in the NSF, 4 items were included in the DAF, and 10 items were deleted because of unacceptable factor loadings. The confirmatory factor analysis (CFA) verified the structure of the WOFI with χ2/df = 1.822, CFI = 0.947, and SRMSR = 0.056. The Cronbach's alpha coefficients of the PTF, NSF, and DAF were 0.91, 0.92, and 0.80, respectively. In IRT analysis, the discrimination values of all items ranged from 1.25 to 2.53, and the difficulty values of all items ranged from -6.28 to 1.30 (with no difficulty of reversal). The WOF was negatively related to job-related stress (r = -0.34, p<0.001), anxiety (r = -0.37, p<0.001), and depression (r = -0.41, p<0.001). The multiple logistic regression analysis suggested that a high level of WOF was a protective factor against job-related mental disorders, with ORs all less than 1 (p<0.001), and a low level of WOF was a risk factor for job-related mental disorders, with ORs all more than 1.0 (p<0.001).

Conclusions
The results of CTT and IRT analysis indicated that the WOFI exhibits reliability and validation. The WOF effectively predicted job-related mental disorders. Subsequent studies will delve into the influence of WOFI on diverse professions and various health outcomes.
A comparative analysis of road and vehicle qualities as factors of road traffic carnage in Nigeria
Authors: Eneh Onyenekenwa Cyprian , Okosun Andy , Egbenta Idu R , Obi Nicholas I , Oloto Martin C , Ubani Obinna , Eneh Chinemelum A , Eneonwo Cosmas I 
Published: November 2023

Abstract
Background and objective
Carnage on roads is a growing concern in Nigeria. Over 27 persons, equivalent to more than 4 families, die daily from road traffic crashes. Two direct factors of a road crash are road quality and vehicle quality. To interrogate and compare both factors to road traffic accidents, the longitudinal study regressed secondary data on death tolls against road quality and vehicle quality.

Materials and methods
Data on the estimated number of vehicles imported into Nigeria (1992–2021) served as the indicator of vehicle quality on Nigerian roads. The longitudinal study regressed secondary data on death tolls (2013–2019) against road quality (2006–2019) and vehicle quality (1992–2021).

Results
Results showed that road quality is degenerating as well as vehicle quality in Nigeria, resulting in increase in the number of road traffic crashes and the attendant death tolls. For every 1% decrease in road quality, death tolls from road traffic crashes in Nigeria increased by 0.00642% at 5% significance, and for every decrease in vehicle quality, death tolls from road traffic crashes in Nigeria increased by 0.327% at 5% significance.

Conclusion
The study recommended increased advocacy on the sanctity of life and the need for all tiers of government to prioritize policy and implementation of improving the road quality and vehicle quality to reduce road traffic crashes and save lives on Nigerian roads.
Atypical presentations of primary acquired hypothyroidism – a case series
Authors: Pravin R. R. , Kan Sheau Yun , Soh Ser Yee , Chan Daniel , Farhad Vasanwala Rashida 
Published: November 2023

AbstractPrimary acquired hypothyroidism in children manifests with a myriad of clinical presentations. Clinical features can be insidious in nature, often under the guise of non-specific presentations to other subspecialties prior to referral to the endocrinologist. Growth failure is a hallmark feature in these children alongside their presenting clinical symptomology which needs to be identified through detailed history, physical examination and analysis of the growth charts. In this case series, we discuss 5 atypical presentations of acquired primary hypothyroidism with multisystemic involvement, including musculoskeletal, hepatobiliary, gynaecological and haematological manifestations. This is of importance as untreated hypothyroidism leads to fatigue, decreased physical activity, suboptimal height gain, disordered puberty and poor neurocognitive development in children with long term detrimental outcomes.
Socio-demographic predictors of obesity among women in Mukono Central Division in Central Uganda: a cross-sectional study
Authors: Athieno Justine , Seera Georgina , Mayanja Namayengo Faith Muyonga , Galabuzi Joweria Nambooze , Namasaba Mariam 
Published: November 2023

Abstract
Background
There is a steadily increasing trend in obesity globally and in Sub-Saharan Africa that disproportionately affects women in most places. This is not different in Uganda, where the Uganda Demographic and Health Survey indicated an increase in obesity among women of reproductive age as measured by the body mass index (BMI). However, studies on the predictors of obesity in women are still limited. Particularly, studies using specific indicators of body fat are scant. This study explored the socio-demographic predictors of obesity as indicated by total body fat percentage among women in the age range of 18 to 69 years old living in Mukono Central Division in Central Uganda.

Methods
A cross sectional study design using quantitative methods was employed. A total of 384 women between 18 and 69 years old from Mukono Central Division in Central Uganda were randomly recruited. A structured questionnaire was used to collect socio-demographic data including age, level of education, marital status, childbearing status, household expenditure, household size and employment status. Total body fat percentage, the indicator for obesity was measured using the body composition meter from TANITA. The data was analyzed using multinomial logistic regression analysis using SPSS version 20.

Results
155 women, nearly two fifths (40.4% CI 95% 38.4–42.4) were classified as obese. Age, marital status, childbearing status, and employment status were the factors that were associated with obesity among these women. Employment status was the only variable that remained significantly associated with obesity among the women after adjusting for other factors. Unemployed women were nearly two times more likely to be obese than the employed women (AOR 1.9; 95% CI 1.1–3.1). The prevalence of obesity among the unemployed and employed women was 48.2% and 34.4% respectively.

Conclusions
Obesity in women was predicted by employment status. An in-depth study on factors that predispose unemployed women to obesity, will be instrumental in guiding interventions to curb the emerging obesity epidemic in Uganda. In the same vein, strategies to reduce levels of unemployment among women living in urban Uganda are essential for protecting public health from the dimension of reducing obesity levels.
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
Authors: Ren Pengling , He Yi , Guo Ning , Luo Nan , Li Fang , Wang Zhenchang , Yang Zhenghan 
Published: November 2023

Abstract
Objective
Using two three-dimensional U-Net architectures for myocardium structure extraction and a distance transformation algorithm specifically for the left circumflex artery, we have designed a fully automated algorithm for coronary artery labeling in coronary computed tomography angiography (CCTA) images.

Methods
In this retrospective analysis, a cohort of 157 patients who had undergone coronary computed tomography angiography (CCTA) was included. An automated coronary artery labeling algorithm was developed using a distance transformation approach to delineate the anatomical segments along the centerlines extracted from the CCTA images. A total of 16 segments were successfully identified and labeled. The algorithm’s outcomes were recorded and reviewed by three experts, and the performance of segment detection and labeling was assessed. Additionally, the level of agreement in manually labeled segments between two experts was quantified.

Results
When comparing the labels generated by the experts with those produced by the algorithm, it was necessary to modify or eliminate 117 labels (5.4%) out of 2180 segments assigned by the algorithm. The overall accuracy for label presence was 96.2%, with an average overlap of 94.0% between the expert reference and algorithm-generated labels. Furthermore, the average agreement rate between the two experts stood at 95.0%.

Conclusions
Based on the labels of the clinical experts, the proposed deep learning algorithm exhibits high accuracy for automatic labeling. Therefore, our proposed method exhibits promising results for the automatic labeling of the coronary arteries and will alleviate the burden on radiologists in the near future.
“I use salt. However, I also use soy sauce, oyster sauce, sometimes chili sauce and….”: interviews with Australians of Chinese ancestry regarding reducing salt consumption for hypertension prevention
Authors: Chan Alex , Kinsman Leigh , Chan Sally Wai-chi 
Published: November 2023

Abstract
Background
High dietary salt consumption is a significant health issue in Chinese populations. This study identified the facilitators for and barriers to salt reduction for prevention of hypertension among Chinese Australians.

Methods
An inductive qualitative study with semi-structured interviews (n = 8) was conducted with convenience samples recruited from social media. Adults who a) were over 18 years old, b) were of Chinese ancestry and c) had lived in Australia for at least 6 months were eligible for participation. Interview transcripts were transcribed and analysed using content analysis.

Results
Four facilitators for and eight barriers to reducing salt consumption were synthesised from the narrative materials. The facilitators were: 1) individual perceptions of health benefits, 2) salt alternatives, 3) digital information and 4) increased awareness of negative health impacts from a high-salt diet. The barriers identified were: 1) negative physical changes not apparent, 2) inadequate salt-related health education, 3) hidden salt in food products, 4) inadequate food literacy, 5) pricing, 6) busy lifestyle, 7) low perceived susceptibility and 8) individual food taste preference and cooking habits. Peer and family influence had positive and negative effects on participants’ likelihood of reducing salt consumption.

Conclusions
The facilitators for and barriers to maintaining a low-salt diet in Chinese Australians were multifaceted and interrelated. Future salt-reduction strategies should focus on the health benefits of reduced salt consumption and practical interventions such as salt alternatives and education on low-salt food choices and cooking methods and changing perceptions about salt reduction to become a social norm in the Chinese community.
Expression divergence of expansin genes drive the heteroblasty in Ceratopteris chingii
Authors: Zhang Yue , Van de Peer Yves , Lu Bei , Zhang Sisi , Che Jingru , Chen Jinming , Marchal Kathleen , Yang Xingyu 
Published: November 2023

Abstract
Background
Sterile-fertile heteroblasty is a common phenomenon observed in ferns, where the leaf shape of a fern sporophyll, responsible for sporangium production, differs from that of a regular trophophyll. However, due to the large size and complexity of most fern genomes, the molecular mechanisms that regulate the formation of these functionally different heteroblasty have remained elusive. To shed light on these mechanisms, we generated a full-length transcriptome of Ceratopteris chingii with PacBio Iso-Seq from five tissue samples. By integrating Illumina-based sequencing short reads, we identified the genes exhibiting the most significant differential expression between sporophylls and trophophylls.

Results
The long reads were assembled, resulting in a total of 24,024 gene models. The differential expressed genes between heteroblasty primarily involved reproduction and cell wall composition, with a particular focus on expansin genes. Reconstructing the phylogeny of expansin genes across 19 plant species, ranging from green algae to seed plants, we identified four ortholog groups for expansins. The observed high expression of expansin genes in the young sporophylls of C. chingii emphasizes their role in the development of heteroblastic leaves. Through gene coexpression analysis, we identified highly divergent expressions of expansin genes both within and between species.

Conclusions
The specific regulatory interactions and accompanying expression patterns of expansin genes are associated with variations in leaf shapes between sporophylls and trophophylls.
Determining the prognosis of Lung cancer from mutated genes using a deep learning survival model: a large multi-center study
Authors: Peng Jie , Xiao Lushan , Zhu Hongbo , Han Lijie , Ma Honglian 
Published: November 2023

Abstract
Background
Gene status has become the focus of prognosis prediction. Furthermore, deep learning has frequently been implemented in medical imaging to diagnose, prognosticate, and evaluate treatment responses in patients with cancer. However, few deep learning survival (DLS) models based on mutational genes that are directly associated with patient prognosis in terms of progression-free survival (PFS) or overall survival (OS) have been reported. Additionally, DLS models have not been applied to determine IO-related prognosis based on mutational genes. Herein, we developed a deep learning method to predict the prognosis of patients with lung cancer treated with or without immunotherapy (IO).

Methods
Samples from 6542 patients from different centers were subjected to genome sequencing. A DLS model based on multi-panels of somatic mutations was trained and validated to predict OS in patients treated without IO and PFS in patients treated with IO.

Results
In patients treated without IO, the DLS model (low vs. high DLS) was trained using the training MSK-MET cohort (HR = 0.241 [0.213–0.273], P < 0.001) and tested in the inter-validation MSK-MET cohort (HR = 0.175 [0.148–0.206], P < 0.001). The DLS model was then validated with the OncoSG, MSK-CSC, and TCGA-LUAD cohorts (HR = 0.420 [0.272–0.649], P < 0.001; HR = 0.550 [0.424–0.714], P < 0.001; HR = 0.215 [0.159–0.291], P < 0.001, respectively). Subsequently, it was fine-tuned and retrained in patients treated with IO. The DLS model (low vs. high DLS) could predict PFS and OS in the MIND, MSKCC, and POPLAR/OAK cohorts (P < 0.001, respectively). Compared with tumor-node-metastasis staging, the COX model, tumor mutational burden, and programmed death-ligand 1 expression, the DLS model had the highest C-index in patients treated with or without IO.

Conclusions
The DLS model based on mutational genes can robustly predict the prognosis of patients with lung cancer treated with or without IO.
Association between the non-HDL-cholesterol to HDL- cholesterol ratio and abdominal aortic aneurysm from a Chinese screening program
Authors: Lin Wenhui , Luo Songyuan , Li Wei , Liu Jitao , Zhou Ting , Yang Fan , Zhou Dan , Liu Yuan , Huang Wenhui , Feng Yingqing , Luo Jianfang 
Published: November 2023

Abstract
Background
Abdominal aortic aneurysms (AAAs) can result in high mortality upon rupture but are usually undiagnosed because of the absence of symptoms in the early stage. Ultrasound screening is regarded as an impactful way to prevent the AAA-related death but cannot be performed efficiently; therefore, a target population, especially in Asia, for this procedure is lacking. Additionally, although dyslipidaemia and atherosclerosis are associated with AAA. However, it remains undetermined whether the non-high-density lipoprotein-cholesterol to high-density lipoprotein-cholesterol ratio (NHHR) is associated with AAA. Therefore, this study was aimed at examining whether NHHR is associated with AAA.

Method
A total of 9559 participants who underwent AAA screening at Guangdong Provincial People’s Hospital and through screening in two communities in Dongguan, from June 2019 to June 2021 joined in this screening program. The diagnosis of AAA was confirmed by the ultrasound examination of the abdominal aorta rather than any known or suspected AAA. Clinical and laboratory data of participants were collected. The participants were separated into a normal group and an AAA group according to the abdominal aortic status. To eliminate confounding factors, a propensity score matching (PSM) approach was utilized. The independent relationship between NHHR and AAA was assessed through the utilization of multivariable logistic regression analysis. In addition, internal consistency was evaluated through subgroup analysis, which controlled for significant risk factors.

Results
Of all the participants, 219 (2.29%) participants were diagnosed with AAA. A significant elevation in NHHR was identified in the AAA group when contrasted with that in the normal group (P < 0.001). As demonstrated by the results of the multivariable logistic regression analysis, AAA was independently associated with NHHR before (odds ratio [OR], 1.440, P < 0.001) and after PSM (OR, 1.515, P < 0.001). Significant extension was observed in the areas under the receiver operating characteristic curves (AUROCs) of NHHR compared to those of single lipid parameters before and after PSM. An accordant association between NHHR and AAA in different subgroups was demonstrated by subgroup analysis.

Conclusion
In the Chinese population, there is an independent association between NHHR and AAA. NHHR might be propitious to distinguish individuals with high risk of AAA.
TROP2-directed nanobody-drug conjugate elicited potent antitumor effect in pancreatic cancer
Authors: Xu Caili , Zhu Min , Wang Qian , Cui Jiajun , Huang Yuping , Huang Xiting , Huang Jing , Gai Junwei , Li Guanghui , Qiao Peng , Zeng Xian , Ju Dianwen , Wan Yakun , Zhang Xuyao 
Published: November 2023

Abstract
Background
Pancreatic cancer is a highly aggressive malignancy with limited treatment options and a poor prognosis. Trophoblast cell surface antigen 2 (TROP2), a cell surface antigen overexpressed in the tumors of more than half of pancreatic cancer patients, has been identified as a potential target for antibody–drug conjugates (ADCs). Almost all reported TROP2-targeted ADCs are of the IgG type and have been poorly studied in pancreatic cancer. Here, we aimed to develop a novel nanobody-drug conjugate (NDC) targeting TROP2 for the treatment of pancreatic cancer.

Results
In this study, we developed a novel TROP2-targeted NDC, HuNbTROP2-HSA-MMAE, for the treatment of TROP2-positive pancreatic cancer. HuNbTROP2-HSA-MMAE is characterized by the use of nanobodies against TROP2 and human serum albumin (HSA) and has a drug-antibody ratio of 1. HuNbTROP2-HSA-MMAE exhibited specific binding to TROP2 and was internalized into tumor cells with high endocytosis efficiency within 5 h, followed by intracellular translocation to lysosomes and release of MMAE to induce cell apoptosis in TROP2-positive pancreatic cancer cells through the caspase-3/9 pathway. In a xenograft model of pancreatic cancer, doses of 0.2 mg/kg and 1 mg/kg HuNbTROP2-HSA-MMAE demonstrated significant antitumor effects, and a dose of 5 mg/kg even eradicated the tumor.

Conclusion
HuNbTROP2-HSA-MMAE has desirable affinity, internalization efficiency and antitumor activity. It holds significant promise as a potential therapeutic option for the treatment of TROP2-positive pancreatic cancer.

Graphical Abstract