bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peer mentorship and professional identity formation: an ecological systems perspective
Authors: Krishna Lalit Kumar Radha , Hamid Nur Amira Binte Abdul , Phua Gillian Li Gek , Mason Stephen , Hill Ruaraidh , Lim Crystal , Ong Simon Yew Kuang , Ong Eng Koon , Ibrahim Halah 
Published: September 2024

Abstract
Background
Mentoring can help shape how medical students think, feel, and act as physicians. Yet, the mechanism in which it influences this process of professional identity formation (PIF) remains poorly understood. Through the lens of the ecological systems theory, this study explores the interconnected and dynamic system of mentoring relationships and resources that support professional development and growth within the Palliative Medicine Initiative (PMI), a structured research peer mentoring program.

Methods
A secondary analysis of transcripts of semi-structured interviews with peer mentors and mentees and a review of their mentoring diaries was conducted to explore the impact of participation in a longitudinal peer mentoring program on both mentees and peer mentors on their personal and professional development through the lens of the mentoring ecosystem model. The Systematic Evidence-Based Approach was adapted to analyze the data via content and thematic analysis.

Results
Eighteen mentees and peer mentors participated and described a supportive community of practice within the research program, with discrete micro-, meso-, and macro-environments that are dynamic, reflexive, and interconnected to form a mentoring ecosystem. Within this ecosystem, reflection is fostered, and identity work is done—ultimately shaping and refining self-concepts of personhood and identity.

Conclusion
This study underscores the nuances and complexities of mentorship and supports the role of the mentoring ecosystem in PIF. A deeper understanding of the multiple factors that converge to facilitate the professional development of mentees can help educators develop and implement structured peer mentorship programs that better support reflective practice and identity work.
Technical efficiency of ghanaian health facilities before and during the COVID-19 pandemic
Authors: Abekah-Nkrumah Gordon , Ofori Charles Gyamfi , Antwi Maxwell , Attachey Alex Yao , de Wit Tobias F. Rinke , Janssens Wendy , Duah James , Dieteren Charlotte , Sunkwa-Mills Gifty 
Published: September 2024

Abstract
Purpose
Understanding the technical efficiency of health facilities is essential for an optimal allocation of scarce resources to primary health sectors. The COVID-19 pandemic may have further undermined levels of efficiency in low-resource settings. This study takes advantage of 2019 and 2020 data on characteristics of health facilities, health services inputs and output to examine the levels and changes in efficiency of Ghanaian health facilities. The current study by using a panel dataset contributes to existing evidence, which is mostly based on pre-COVID-19 and single-period data.

Methods
The analysis is based on a panel dataset including 151 Ghanaian health facilities. Data Envelopement Analysis (DEA) technique was used to estimate the level and changes in efficiency of health facilities across two years..

Results
The results show a net increase of 26% in inputs, influenced mostly by increases in temporary non-clinical staff (131%) and attrition of temporary clinical staff and permanent non-clinical staff, 40% and 54% respectively. There was also a net reduction in output of 34%, driven by a reduction in in-patient days (37%), immunization (11%), outpatients visits and laboratory test of 9%. Nowithstanding the COVID-19 pandemic, the results indicate that 59 (39%) of sampled health facilities in 2020 were efficient, compared to 48 (32%) in 2019. The results also indicate that smaller-sized health facilities were less likely to be efficient compared to relatively bigger health facilities.

Conclusion
Based on the findings, it will be essential to examine factors that accounted for efficiency improvements in some health facilities, to enable health facilities lagging behind to learn from those on the efficiency frontier. In addition, the findings emphasise the need for CHAG to work with health facility managers to optimise inputs allocation through a redistribution of staff. Most importantly, the findings are suggestive of the resilience of CHAG health facilities in responding to a health shock such as the COVID-19 pandemic.
Buqi-Huoxue-Tongnao decoction drives gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis
Authors: Liu Yarui , Zhao Peng , Cai Zheng , He Peishi , Wang Jiahan , He Haoqing , Zhu Zhibo , Guo Xiaowen , Ma Ke , Peng Kang , Zhao Jie 
Published: September 2024

Abstract
Background
Ischemic stroke belongs to “apoplexy” and its pathogenesis is characterized by qi deficiency and blood stasis combining with phlegm-damp clouding orifices. Buqi-Huoxue-Tongnao decoction (BHTD) is a traditional Chinese medicine formula for qi deficiency, blood stasis and phlegm obstruction syndrome. However, its efficacy and potential mechanism on ischemic stroke are still unclear. This study aims to investigate the protective effect and potential mechanism of BHTD against ischemic stroke.

Materials and methods
Middle cerebral artery occlusion (MCAO) surgery was carried out to establish an ischemic stroke model in rats. Subsequently, the rats were gavaged with different doses of BHTD (2.59, 5.175, 10.35 g/kg) for 14 days. The protective effects of BHTD on the brain and gut were evaluated by neurological function scores, cerebral infarction area, levels of brain injury markers (S-100B, NGB), indicators of gut permeability (FD-4) and bacterial translocation (DAO, LPS, D-lactate), and tight junction proteins (Occludin, Claudin-1, ZO-1) in brain and colon. 16S rRNA gene sequencing and metabolomic analysis were utilized to analyze the effects on gut microecology and screen for marker metabolites to explore potential mechanisms of BHTD protection against ischemic stroke.

Results
BHTD could effectively mitigate brain impairment, including reducing neurological damage, decreasing cerebral infarction and repairing the blood–brain barrier, and BHTD showed the best effect at the dose of 10.35 g/kg. Moreover, BHTD reversed gut injury induced by ischemic stroke, as evidenced by decreased intestinal permeability, reduced intestinal bacterial translocation, and enhanced intestinal barrier integrity. In addition, BHTD rescued gut microbiota dysbiosis by increasing the abundance of beneficial bacteria, including Turicibacter and Faecalibaculum. Transplantation of the gut microbiota remodeled by BHTD into ischemic stroke rats recapitulated the protective effects of BHTD. Especially, BHTD upregulated tryptophan metabolism, which promoted gut microbiota to produce more indole lactic acid (ILA). Notably, supplementation with ILA by gavage could alleviate stroke injury, which suggested that driving the production of ILA in the gut might be a novel treatment for ischemic stroke.

Conclusion
BHTD could increase gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis. Our current finding provides evidence that traditional Chinese medicine can ameliorate central diseases through regulating the gut microbiology.
Machine learning-assisted rapid determination for traditional Chinese Medicine Constitution
Authors: Sun Wen , Bai Minghua , Wang Ji , Wang Bei , Liu Yixing , Wang Qi , Han Dongran 
Published: September 2024

AbstractThe aim of this study was to develop a machine learning-assisted rapid determination methodology for traditional Chinese Medicine Constitution. Based on the Constitution in Chinese Medicine Questionnaire (CCMQ), the most applied diagnostic instrument for assessing individuals’ constitutions, we employed automated supervised machine learning algorithms (i.e., Tree-based Pipeline Optimization Tool; TPOT) on all the possible item combinations for each subscale and an unsupervised machine learning algorithm (i.e., variable clustering; varclus) on the whole scale to select items that can best predict body constitution (BC) classifications or BC scores. By utilizing subsets of items selected based on TPOT and corresponding machine learning algorithms, the accuracies of BC classifications prediction ranged from 0.819 to 0.936, with the root mean square errors of BC scores prediction stabilizing between 6.241 and 9.877. Overall, the results suggested that the automated machine learning algorithms performed better than the varclus algorithm for item selection. Additionally, based on an automated machine learning item selection procedure, we provided the top three ranked item combinations with each possible subscale length, along with their corresponding algorithms for predicting BC classification and severity. This approach could accommodate the needs of different practitioners in traditional Chinese medicine for rapid constitution determination.
Proteomics reveals dynamic metabolic changes in human hematopoietic stem progenitor cells from fetal to adulthood
Authors: Xiong Mingfang , Xiu Yanyu , Long Juan , Zhao Xiao , Wang Qianqian , Yang Haoyu , Yu Hang , Bian Lihong , Ju Yan , Yin Hongyu , Hou Qingxiang , Liang Fei , Liu Nan , Chen Fudong , Fan Ruiwen , Sun Yuying , Zeng Yang 
Published: September 2024

Abstract
Background
Hematopoietic stem progenitor cells (HSPCs) undergo phenotypical and functional changes during their emergence and development. Although the molecular programs governing the development of human hematopoietic stem cells (HSCs) have been investigated broadly, the relationships between dynamic metabolic alterations and their functions remain poorly characterized.

Methods
In this study, we comprehensively described the proteomics of HSPCs in the human fetal liver (FL), umbilical cord blood (UCB), and adult bone marrow (aBM). The metabolic state of human HSPCs was assessed via a Seahorse assay, RT‒PCR, and flow cytometry-based metabolic-related analysis. To investigate whether perturbing glutathione metabolism affects reactive oxygen species (ROS) production, the metabolic state, and the expansion of human HSPCs, HSPCs were treated with buthionine sulfoximine (BSO), an inhibitor of glutathione synthetase, and N-acetyl-L-cysteine (NAC).

Results
We investigated the metabolomic landscape of human HSPCs from the fetal, perinatal, and adult developmental stages by in-depth quantitative proteomics and predicted a metabolic switch from the oxidative state to the glycolytic state during human HSPC development. Seahorse assays, mitochondrial activity, ROS level, glucose uptake, and protein synthesis rate analysis supported our findings. In addition, immune-related pathways and antigen presentation were upregulated in UCB or aBM HSPCs, indicating their functional maturation upon development. Glutathione-related metabolic perturbations resulted in distinct responses in human HSPCs and progenitors. Furthermore, the molecular and immunophenotypic differences between human HSPCs at different developmental stages were revealed at the protein level for the first time.

Conclusion
The metabolic landscape of human HSPCs at three developmental stages (FL, UCB, and aBM), combined with proteomics and functional validations, substantially extends our understanding of HSC metabolic regulation. These findings provide valuable resources for understanding human HSC function and development during fetal and adult life.
Experimental Investigation on Axial Strength Improvement of Cold-Formed Steel Jacketed Concrete Stub Columns
Authors: Waenpracha Apisith , Pannachet Tanyada , Boonpichetvong Maetee 
Published: September 2024

AbstractThis paper presents an experimental study on the behavior of low-strength concrete columns confined with cold-formed steel under axial compression. The laboratory test specimens consist of four groups of rectangular concrete stub columns in the size of 130 $$\times $$
×
200 mm cross section and 300 mm height; the first group composes of the unconfined specimens, while the other three contain the confined specimens under 0%, 25% and 50% sustained axial loads. The jackets are made of two G450-grade channel cold-formed steel sections of 2.4 mm thickness welded together. No bonding material is used between the core concrete and the steel jacket. From the results, it is found that the cold-formed steel jacketing can increase the axial strengths of the unconfined concrete specimens by approximately 40-65%. The strength increase comes mainly from the confinement action, as only small axial deformation is detected in the jacket. Based on the given amount of prescribed preloads in this study, the presence of preload in the column does not have a significant effect on the increase in strength of the confined concrete columns. The measured strength enhancement ratio and the confinement ratio of the tested specimens are compared using five existing strength predictive equations. The performance of the unbonded cold-formed steel jacketing technique adopted in the stub columns is observed to closely conform with the predictive confinement model of the concrete-filled tubes.
Reduced positive attentional bias in patients with borderline personality disorder compared with non-patients: results from a free-viewing eye-tracking study
Authors: Wenk Taavi , Günther Anna-Christina , Webelhorst Carolin , Kersting Anette , Bodenschatz Charlott Maria , Suslow Thomas 
Published: September 2024

Abstract
Background
Attentional processes are important for regulating emotional states and coping with stressful events. Orientation of attention acts as filter for subsequent information processing. So far, only few eye-tracking studies have examined attentional processes during emotion perception in borderline personality disorder (BPD). In these studies, gaze behaviour was analysed during simultaneous or delayed evaluation of single stimuli. The objective of the present eye-tracking study was to investigate early and late attention allocation towards emotional facial expressions in patients with BPD and non-patients (NPs) based on a free-viewing paradigm, which allows to examine processes of self-generated attention deployment.

Methods
In a multiple-stimulus free-viewing task with facial expressions, i.e. happy, angry, sad, and neutral faces, presented simultaneously early and late attentional allocation was analysed in 43 patients with BPD and 43 age- and sex-matched NPs. We assessed study participants’ trait anxiety, depressive symptoms, level of alexithymia, traumatic childhood experiences, and borderline symptoms. Entry time was used to measure initial gaze orientation, whereas dwell time was calculated as an index of late attention allocation.

Results
As could be expected, patients with BPD reported more anxiety, depressive symptoms, experiences of childhood maltreatment, and showed higher levels of alexithymia than NPs. Patients differed from NPs in dwell time on happy facial expressions but not in dwell time on angry, sad, and neutral expressions. Contrary to our hypothesis, patients did not differ from NPs concerning entry times on angry facial expressions.

Conclusions
According to our results, patients with BPD show a reduced attentional preference for happy facial expression during free viewing compared to NPs. A decreased positive attentional bias at a late processing stage could be part of emotion regulation impairments and add to the vulnerability for negative affects in BPD, which represent core symptoms of the disorder. In contrast to previous eye-tracking research in BPD examining attention during evaluative processing, our dwell time data could be more indicative of self-generated, endogenously controlled attentional processes in emotion perception. The present data do not support an early vigilance for threatening social information in BPD.
Effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction strength level on the detection and characterization of pulmonary nodules in ultra-low-dose chest CT
Authors: Yao Yue , Su Xuan , Deng Lei , Zhang JingBin , Xu Zengmiao , Li Jianying , Li Xiaohui 
Published: September 2024

Abstract
Objective
To explore the effects of tube voltage, radiation dose and adaptive statistical iterative reconstruction (ASiR-V) strength level on the detection and characterization of pulmonary nodules by an artificial intelligence (AI) software in ultra-low-dose chest CT (ULDCT).

Materials and methods
An anthropomorphic thorax phantom containing 12 spherical simulated nodules (Diameter: 12 mm, 10 mm, 8 mm, 5 mm; CT value: -800HU, -630HU, 100HU) was scanned with three ULDCT protocols: Dose-1 (70kVp:0.11mSv, 100kVp:0.10mSv), Dose-2 (70kVp:0.34mSv, 100kVp:0.32mSv), Dose-3 (70kVp:0.53mSv, 100kVp:0.51mSv). All scanning protocols were repeated five times. CT images were reconstructed using four different strength levels of ASiR-V (0%=FBP, 30%, 50%, 70%ASiR-V) with a slice thickness of 1.25 mm. The characteristics of the physical nodules were used as reference standards. All images were analyzed using a commercially available AI software to identify nodules for calculating nodule detection rate (DR) and to obtain their long diameter and short diameter, which were used to calculate the deformation coefficient (DC) and size measurement deviation percentage (SP) of nodules. DR, DC and SP of different imaging groups were statistically compared.

Results
Image noise decreased with the increase of ASiR-V strength level, and the 70 kV images had lower noise under the same strength level (mean-value 70 kV: 40.14 ± 7.05 (dose 1), 27.55 ± 7.38 (dose 2), 23.88 ± 6.98 (dose 3); 100 kV: 42.36 ± 7.62 (dose 1); 30.78 ± 6.87 (dose 2); 26.49 ± 6.61 (dose 3)). Under the same dose level, there were no differences in DR between 70 kV and 100 kV (dose 1: 58.76% vs. 58.33%; dose 2: 73.33% vs. 70.83%; dose 3: 75.42% vs. 75.42%, all p > 0.05). The DR of GGNs increased significantly at dose 2 and higher (70 kV: 38.12% (dose 1), 60.63% (dose 2), 64.38% (dose 3); 100 kV: 37.50% (dose 1), 59.38% (dose 2), 66.25% (dose 3)). In general, the use of ASiR-V at higher strength levels (> 50%) and 100 kV provided better (lower) DC and SP.

Conclusion
Detection rates are similar between 70 kV and 100 kV scans. The 70 kV images have better noise performance under the same ASiR-V level, while images of 100 kV and higher ASiR-V levels are better in preserving the nodule morphology (lower DC and SP); the dose levels above 0.33mSv provide high sensitivity for nodules detection, especially the simulated ground glass nodules.
Bioassay guided isolation and compounds identification of the anti-diabetic fractions of (rosemary) Rosmarinus officinalis leaves extract
Authors: Kabubii Zelipha N. , Mbaria James Mucunu , Mathiu Peter Mbaabu , Wanjohi John Muraba , Nyaboga Evans Nyaega 
Published: September 2024

Abstract
Background
Diabetes mellitus is a metabolic disease characterized by prolonged elevated blood glucose levels. It is a common health problem with a high mortality and morbidity to the human race. A number of medicinal plants such as rosemary (Rosmarinus officinalis) have been used for the treatment of diabetes. Most of the anti-diabetic conventional drugs have been found to have some side effects and there is therefore need to explore new sources of anti-diabetic drugs. The aim of the current study was to investigate the possibility of getting anti-diabetic compounds from R. officinalis that can be used as leads for drug discovery.

Methodology
R. officinalis leaves were macerated in 50% methanol in dichloromethane and the crude extract fractionated by column chromatography. The obtained fractions were subjected to an in-vitro alpha-amylase inhibition assay. The anti-hyperglycemic potential of the fractions was evaluated in diabetic induced Wistar rats. The most potent fractions were analyzed by gas chromatography-mass spectrophotometry (GC-MS) for identification of the compounds.

Results
A total of 21 chromatographic fractions were assembled with different alpha- amylase inhibition activity. Eleven of the fractions had more than 30% alpha-amylase inhibition activity. The ethyl acetate fraction had the highest inhibition potential (LC50 of 2.8 μg/mL). The anti-diabetic assay in rats showed that fractions (F1) and (F4) had highest blood glucose reduction of 44.5 ± 0.4 and 52.8 ± 1.3%, respectively (p < 0.05). GC-MS analysis of fractions F1 and F4 showed the presence of 21 and 23 compounds in F1 and 23, respectively.

Conclusion
This study has demonstrated that R. officinalis crude extract fractions obtained from 50% methanol in dichloromethane possesses alpha-amylase inhibitory and anti-hyperglycemic activities as well as secondary metabolites with varying chemical structures. The hexane and hexane/ethyl acetate (8/2) fractions showed most potent alpha-amylase inhibition with high anti-hyperglycemic activity giving hope of a possibility of obtaining lead compounds for new anti-diabetic drugs.
Mesial temporal sclerosis and epilepsy: a narrative review
Authors: Villamizar-Torres Daniel , Cepeda Trillos Andrea Carolina , Vargas-Moreno Alejandro 
Published: September 2024

AbstractMesial temporal sclerosis (MTS) stands out as a prevalent etiology of medically intractable temporal lobe epilepsy. Understanding the pathological alterations, clinical manifestations and risk factors of MTS is crucial for the recognition and suspicion of this condition. In this paper, we provide a comprehensive narrative review on the pathophysiology, clinical manifestations, and treatment options for MTS. By doing so, we aim to provide an up-to-date understanding of this condition.
Status and sociodemographic correlates of pathological internet use among adolescents in Jordan: a cross-sectional study
Authors: Abdallah Farah M. , Hamdan-Mansour Ayman M. 
Published: September 2024

Abstract
Background
Pathological internet use (PIU) refers to excessive use of the internet and is commonly described using various terms, such as internet addiction disorder (IAD). It is a significant concern for mental health professionals in schools and primary care settings, especially among adolescents. Although in the sphere of psychological assessment, PIU is classified as a behavioral addiction and has been proven to be as serious as substance abuse, PIU is not officially classified as a psychological disorder in the Diagnostic and Statistical Manual of Mental Disorders. The aims of this study were to investigate the PIU status and explore the sociodemographic correlates of PIU among adolescents in Jordan.

Methods
This study employed a descriptive‒explorative design with a cross-sectional approach. The study participants were 735 adolescents, grades 9th–11th. Data were collected via valid and reliable self-report questionnaire related to the main study variables over a period ranging from the beginning of March to the end of April 2024. For the data analysis, t tests and ANOVAs were used to identify any significant differences in the mean PIU total score in relation to the sociodemographic variables.

Results
The results revealed that among the 735 adolescents, 75.8% (n = 557) experienced PIU, with a significant difference in the mean PIU total score across grades (F = 3.37, p < .05) and academic performance levels (F = 8.76, p < .05), but not in terms of sex (t = .371, p > .05), father’s education level (F = .789, p > .05), or family income level (F = 1.076, p > .05).

Conclusion
This study provides practical findings that students with poor academic performance and lower grades have higher levels of PIU. It is recommended that an ongoing screening for PIU be conducted to intervene proactively through multidisciplinary collaboration to manage disproportionate internet use among adolescents. Furthermore, this study adequately raises awareness about the far-reaching consequences of PIU for adolescents of both sexes. Finally, the results will be utilized to guide future studies to highlight more sociodemographic correlates of PIU.