bluuebunny/crossref_metadata_2025_split huggingface dataset:
All-suture anchor size and drill angle influence load to failure in a porcine model of subpectoral biceps tenodesis, a biomechanical study
Authors: Alt Prisca S. , Marx Christian , Braun Sepp 
Published: May 2024

Abstract
Background
Tenodesis of the long head of the biceps tendon is frequently performed in shoulder surgery, and all-suture anchors have become more popular as fixation methods. However, uncertainty still exists regarding the ultimate load to failure of all-suture anchors and the best insertion angle at a cortical humeral insertion point.

Purpose
The purpose of this study was to compare the biomechanical characteristics of three types of all-suture anchors frequently used for biceps tenodesis. In addition, the influence of two different insertion angles was observed in a porcine humeri model.

Methods
The ultimate load to failure and failure mode of three types of all-suture anchors (1.6 FiberTak®, 1.9 FiberTak®, 2.6 FiberTak®, Arthrex®) applicable for subpectoral biceps tenodesis were evaluated at 90° and 45° insertion angles in 12 fresh-frozen porcine humeri. The anchors were inserted equally alternated in a randomized manner at three different insertion sites along the bicipital groove, and the suture tapes were knotted around a rod for pullout testing. In total, 36 anchors were evaluated in a universal testing machine (Zwick & Roell).

Results
The 2.6 FiberTak® shows higher ultimate loads to failure with a 90° insertion angle (944.0 N ± 169.7 N; 537.0 N ± 308.8 N) compared to the 1.9 FiberTak® (677.8 N ± 57.7 N; 426.3 N ± 167.0 N, p-value: 0.0080) and 1.6 FiberTak® (733.0 N ± 67.6 N; 450.0 N ± 155.8 N, p-value: 0.0018). All anchor types show significantly higher ultimate loads to failure and smaller standard deviations at the 90° insertion angle than at the 45° insertion angle. The major failure mode was anchor pullout. Only the 2.6 FiberTak® anchors showed suture breakage as the major failure mode when placed with a 90° insertion angle.

Conclusions
All three all-suture anchors are suitable fixation methods for subpectoral biceps tenodesis. Regarding our data, we recommend 90° as the optimum insertion angle.

Clinical relevance
The influence of anchor size and insertion angle of an all-suture anchor should be known by the surgeon for optimizing ultimate loads to failure and for achieving a secure fixation.
Does dynamic navigation assisted student training improve the accuracy of dental implant placement by postgraduate dental students: an in vitro study
Authors: Yan Qi , Wu Xinyu , Shi Junyu , Shi Bin 
Published: May 2024

AbstractObjectivesTo assess the accuracy of implant placement in models and satisfaction in dynamic navigation assisted postgraduate dental students training.MethodsPostgraduate dental students who had at least one year of dental clinical practice with no experience in dental implant surgeries were included. Students were instructed to make treatment plans in the dynamic navigation system. Each student placed two maxillary right incisors, using freehand approach at first and then under dynamic navigation. The implant position was compared with treatment plan. Factors influencing the accuracy of implants placed under dynamic navigation were analyzed. Student acceptance towards the training and use of dynamic navigation was recorded using a questionnaire.ResultsA total of 21 students placed 42 implants. For freehand implant placement, the median entry point deviation, apex point deviation, and implant axis deviation was 3.79 mm, 4.32 mm, and 10.08°. For dynamic guided implant placement, the median entry point deviation, apex point deviation, and implant axis deviation was 1.29 mm, 1.25 mm, and 4.89° (p < 0.001). The accuracy of dynamic guided implant was not influenced by student gender or familiarity with computer games. All students were satisfied with the training.ConclusionsDynamic navigation system assisted students in improving the accuracy of implant placement and was well accepted by students.
Obstetric vesico-uterine fistula in nine reference hospitals in the Democratic Republic of the Congo: epidemiological, clinical, and therapeutic aspects
Authors: Paluku Justin Lussy , Furaha Cathy Mufungizi , Bartels Susan A. , Aksanti Barthelemy Kasi , Kataliko Benjamin Kasereka , Kasereka Jonathan ML , Kamabu Eugénie Mukekulu , Kalole Benjamin Kambale , Muteke John Kasereka , Kyembwa Michel Mulyumba , Kabuyanga Richard Kabuseba , Tsongo Zacharie Kibendelwa , Wembonyama Stanis Okitotsho , Mpoy Charles Wembonyama , Juakali Jeannot Sihalikyolo 
Published: May 2024

Abstract
Introduction
With global cesarean section rates rising, there’s concern about increase in obstetric vesico-uterine fistula (OVUF). Very little is known about this anatomoclinical entity of obstetric fistula in Africa in general and in DRC in particular. Our purpose was to describe the epidemiological, clinical, and therapeutic aspects of OVUF in the Democratic Republic of the Congo (DRC).

Methods
This was a descriptive cross-sectional study. Data were collected from patients who presented with OVUF across seven provinces of the DRC (North Kivu, Haut-Uélé, Kasai Central, Kwilu, Maniema, Nord-Ubangi and Sankuru) from January 2017 to December 2022. Study variables were epidemiological, clinical, and therapeutic features.

Results
Of 1,267 patients presenting with obstetric fistulas, 355 (28.0%) had OVUF. The mean age was 32.9 ± 11.6 years, 80.6% of patients (286/355) lived in rural areas, and the majority had a low level of education (40% no formal education, 30.1% primary school, 28.7% secondary school). In total, 64.8% of patients were primiparous (230/355) and in all (100%) cases, OVUF was caused iatrogenically during cesarean delivery. Majority (76.3%) of patients laboured for one day or less (mean duration 1.0 ± 0.5 days) before giving birth, and the fetus died in 58.3% of cases. In 35.8% of cases, the fistula had lasted more than 10 years (mean age 10.1 ± 10.0 years) before repair. A proportion of 88.2% (n = 313) of OVUF was isolated while 11.3% (n = 40) was associated with a uretero-vaginal fistula. In 82.8% (n = 294) of cases the OVUF was single. The average fistula size was 2.4 ± 1.0 cm (range: 0.5 and 5.5 cm) and 274 (77.2%) fistulas measured between 1.5 and 3 cm, with 14.9% (n = 53) of them larger than 3 cm. Fibrosis was present in 65.1% of cases, cervical involvement was absent in 97.7% and post-operative complications were absent in 94.4%. In all cases, the OVUF was surgically repaired abdominally with a success rate of 97.5% (346/355).

Conclusion
The proportion of OVUF is relatively high in the DRC. Most affected patients were young, under-educated, primiparous women living in rural areas. Cesarean section was the sole identified cause of OVUF which was isolated, single, without fibrosis, in majority of cases. Abdominal repair of OVUF was very effective, with good results in almost all cases. Teaching young doctors working mainly in remote areas how to perform safe cesarean section is needed to reduce incidence of OVUF in DRC.
Interpretation of course conceptual structure and student self-efficacy: an integrated strategy of knowledge graphs with item response modeling
Authors: Cao Zhen-Yu , Lin Feng , Feng Chun 
Published: May 2024

AbstractBackgroundThere is a scarcity of studies that quantitatively assess the difficulty and importance of knowledge points (KPs) depending on students’ self-efficacy for learning (SEL). This study aims to validate the practical application of psychological measurement tools in physical therapy education by analyzing student SEL and course conceptual structure.MethodsFrom the “Therapeutic Exercise” course curriculum, we extracted 100 KPs and administered a difficulty rating questionnaire to 218 students post-final exam. The pipeline of the non-parametric Item Response Theory (IRT) and parametric IRT modeling was employed to estimate student SEL and describe the hierarchy of KPs in terms of item difficulty. Additionally, Gaussian Graphical Models with Non-Convex Penalties were deployed to create a Knowledge Graph (KG) and identify the main components. A visual analytics approach was then proposed to understand the correlation and difficulty level of KPs.ResultsWe identified 50 KPs to create the Mokken scale, which exhibited high reliability (Cronbach’s alpha = 0.9675) with no gender bias at the overall or at each item level (p > 0.05). The three-parameter logistic model (3PLM) demonstrated good fitness with questionnaire data, whose Root Mean Square Error Approximation was < 0.05. Also, item-model fitness unveiled good fitness, as indicated by each item with non-significantp-valuesfor chi-square tests. The Wright map revealed item difficulty relative to SEL levels. SEL estimated by the 3PLM correlated significantly with the high-ability range of average Grade-Point Average (p < 0.05). The KG backbone structure consisted of 58 KPs, with 29 KPs overlapping with the Mokken scale. Visual analysis of the KG backbone structure revealed that the difficulty level of KPs in the IRT could not replace their position parameters in the KG.ConclusionThe IRT and KG methods utilized in this study offer distinct perspectives for visualizing hierarchical relationships and correlations among the KPs. Based on real-world teaching empirical data, this study helps to provide a research foundation for updating course contents and customizing learning objectives.Trial registrationNot applicable.
Providing insights into health data science education through artificial intelligence
Authors: Rohani Narjes , Gal Kobi , Gallagher Michael , Manataki Areti 
Published: May 2024

Abstract
Background
Health Data Science (HDS) is a novel interdisciplinary field that integrates biological, clinical, and computational sciences with the aim of analysing clinical and biological data through the utilisation of computational methods. Training healthcare specialists who are knowledgeable in both health and data sciences is highly required, important, and challenging. Therefore, it is essential to analyse students’ learning experiences through artificial intelligence techniques in order to provide both teachers and learners with insights about effective learning strategies and to improve existing HDS course designs.

Methods
We applied artificial intelligence methods to uncover learning tactics and strategies employed by students in an HDS massive open online course with over 3,000 students enrolled. We also used statistical tests to explore students’ engagement with different resources (such as reading materials and lecture videos) and their level of engagement with various HDS topics.

Results
We found that students in HDS employed four learning tactics, such as actively connecting new information to their prior knowledge, taking assessments and practising programming to evaluate their understanding, collaborating with their classmates, and repeating information to memorise. Based on the employed tactics, we also found three types of learning strategies, including low engagement (Surface learners), moderate engagement (Strategic learners), and high engagement (Deep learners), which are in line with well-known educational theories. The results indicate that successful students allocate more time to practical topics, such as projects and discussions, make connections among concepts, and employ peer learning.

Conclusions
We applied artificial intelligence techniques to provide new insights into HDS education. Based on the findings, we provide pedagogical suggestions not only for course designers but also for teachers and learners that have the potential to improve the learning experience of HDS students.
Measuring sociocultural engagement of health professions education students: a psychometric study
Authors: Kassab Salah Eldin , Rathan Ramya , Schmidt Henk G. , Hamdy Hossam 
Published: May 2024

Abstract
Background
Sociocultural engagement of students refers to broadening viewpoints and providing awareness of, and respect for, diverse backgrounds and perspectives. However, there are no existing validated instruments in the literature for measuring sociocultural engagement of health professions education (HPE) students. Therefore, the aim of this study is to develop and validate a questionnaire designed to assess sociocultural engagement among HPE students.

Methods
The study included undergraduate HPE students (n = 683) at Gulf Medical University. The initial version of the sociocultural engagement of students’ questionnaire (SESQ) was developed after extensive literature review and guided by the Global Learning Qualifications Framework. We then tested the content validity of the questionnaire by using focus group discussion with subject experts (n = 16) and pilot testing with students (n = 20). We distributed the content-validated version of the SESQ (16 items) to undergraduate students in six HPE colleges. To examine the construct validity and construct reliability of the questionnaire, we conducted exploratory factor analysis, followed by confirmatory factor analysis.

Results
Confirmatory factor analysis supported the two-factor structure which consists of 13 items with good fitness indices (χ2 = 214.35, df = 61, χ 2/df = 3.51, CFI = 0.98, RMSEA = 0.06, SRMR = 0.025, and AIC = 208.00). The two factors were sociocultural interactions (8 items) and sociocultural adaptation (5 items). The construct reliability of the total questionnaire is 0.97 and the two factors were 0.93 and 0.92 for sociocultural interactions and sociocultural adaptation, respectively. In addition, there were significant weak correlations between both factors of sociocultural engagement scores and student satisfaction with the university experience (r = .19 for each, P = .01).

Conclusions
The sociocultural engagement of students’ questionnaire exhibits good evidence of construct validity and reliability. Further studies will be required to test the validity of this questionnaire in other contexts.
The need for cybersecurity self-evaluation in healthcare
Authors: Burke Wendy , Stranieri Andrew , Oseni Taiwo , Gondal Iqbal 
Published: May 2024

AbstractThe Australian healthcare sector is a complex mix of government departments, associations, providers, professionals, and consumers. Cybersecurity attacks, which have recently increased, challenge the sector in many ways; however, the best approaches for the sector to manage the threat are unclear. This study will report on a semi-structured focus group conducted with five representatives from the Australian healthcare and computer security sectors. An analysis of this focus group transcript yielded four themes: 1) the challenge of securing the Australian healthcare landscape; 2) the financial challenges of cybersecurity in healthcare; 3) balancing privacy and transparency; 4) education and regulation. The results indicate the need for sector-specific tools to empower the healthcare sector to mitigate cybersecurity threats, most notably using a self-evaluation tool so stakeholders can proactively prepare for incidents. Despite the vast amount of research into cybersecurity, little has been conducted on proactive cybersecurity approaches where security weaknesses are identified weaknesses before they occur.
Modality-specific effects of threat on self-motion perception
Authors: Hacohen-Brown Shira , Gilboa-Schechtman Eva , Zaidel Adam 
Published: May 2024

Abstract
Background
Threat and individual differences in threat-processing bias perception of stimuli in the environment. Yet, their effect on perception of one’s own (body-based) self-motion in space is unknown. Here, we tested the effects of threat on self-motion perception using a multisensory motion simulator with concurrent threatening or neutral auditory stimuli.

Results
Strikingly, threat had opposite effects on vestibular and visual self-motion perception, leading to overestimation of vestibular, but underestimation of visual self-motions. Trait anxiety tended to be associated with an enhanced effect of threat on estimates of self-motion for both modalities.

Conclusions
Enhanced vestibular perception under threat might stem from shared neural substrates with emotional processing, whereas diminished visual self-motion perception may indicate that a threatening stimulus diverts attention away from optic flow integration. Thus, threat induces modality-specific biases in everyday experiences of self-motion.
Independent and joint associations of monocyte to high-density lipoprotein-cholesterol ratio and body mass index with cardiorenal syndrome: insights from NHANES 2003–2020
Authors: Lin Junjie , Li Zixin , Xu Jiamin , Pan Mengshan , Yin Tongle , Wang Jiadong , Sun Qinghua , Zheng Weijun , Chen Rucheng 
Published: May 2024

Abstract
Background
With the development of pathophysiology, cardiorenal syndrome (CRS), a complex and severe disease, has received increasing attention. Monocyte to high-density lipoprotein-cholesterol ratio (MHR) and body mass index (BMI) are independent risk factors for cardiovascular diseases, but their association with CRS remains unexplored. This study aims to explore the independent and joint effects of MHR and BMI on CRS.

Methods
We included 42,178 NHANES participants. The determination of CRS referred to the simultaneous presence of cardiovascular disease (identified through self-report) and chronic kidney disease (eGFR < 60 mL/min per 1.73 m²). We employed multivariate weighted logistic regression to evaluate the odds ratio (OR) and 95% confidence interval (CI) for the independent and joint associations of MHR and BMI with CRS. We also conducted restricted cubic spines to explore nonlinear associations.

Results
The prevalence of CRS was 3.45% among all participants. An increase in both MHR and BMI is associated with a higher risk of CRS (MHR: OR = 1.799, 95% CI = 1.520–2.129, P < 0.001, P-trend < 0.001; BMI: OR = 1.037, 95% CI = 1.023–1.051, P < 0.001). Individuals who simultaneously fall into the highest quartile of MHR and have a BMI of 30 or more face the highest risk of CRS compared to those in the lowest MHR quartile with a BMI of less than 25 (OR = 3.45, 95% CI = 2.40–4.98, P < 0.001). However, there is no interactive association between MHR and BMI with CRS.

Conclusions
Higher MHR and BMI are associated with higher odds of CRS. MHR and BMI can serve as tools for early prevention and intervention of CRS, respectively.
BCMA/CD47-directed universal CAR-T cells exhibit excellent antitumor activity in multiple myeloma
Authors: Lu Qizhong , Li Hexian , Wu Zhiguo , Zhu Zhixiong , Zhang Zongliang , Yang Donghui , Tong Aiping 
Published: May 2024

Abstract
Background
BCMA-directed autologous chimeric antigen receptor T (CAR-T) cells have shown excellent clinical efficacy in relapsed or refractory multiple myeloma (RRMM), however, the current preparation process for autologous CAR-T cells is complicated and costly. Moreover, the upregulation of CD47 expression has been observed in multiple myeloma, and anti-CD47 antibodies have shown remarkable results in clinical trials. Therefore, we focus on the development of BCMA/CD47-directed universal CAR-T (UCAR-T) cells to improve these limitations.

Methods
In this study, we employed phage display technology to screen nanobodies against BCMA and CD47 protein, and determined the characterization of nanobodies. Furthermore, we simultaneously disrupted the endogenous TRAC and B2M genes of T cells using CRISPR/Cas9 system to generate TCR and HLA double knock-out T cells, and developed BCMA/CD47-directed UCAR-T cells and detected the antitumor activity in vitro and in vivo.

Results
We obtained fourteen and one specific nanobodies against BCMA and CD47 protein from the immunized VHH library, respectively. BCMA/CD47-directed UCAR-T cells exhibited superior CAR expression (89.13-98.03%), and effectively killing primary human MM cells and MM cell lines. BCMA/CD47-directed UCAR-T cells demonstrated excellent antitumor activity against MM and prolonged the survival of tumor-engrafted NCG mice in vivo.

Conclusions
This work demonstrated that BCMA/CD47-directed UCAR-T cells exhibited potent antitumor activity against MM in vitro and in vivo, which provides a potential strategy for the development of a novel “off-the-shelf” cellular immunotherapies for the treatment of multiple myeloma.

Graphic Abstract
Recent advances in the application of gasotransmitters in spinal cord injury
Authors: Gao Xiang , Jin Bingrong , Zhou Xiaozhong , Bai Jinyu , Zhong Hao , Zhao Kai , Huang Zongrui , Wang Chao , Zhu Jiang , Qin Qin 
Published: May 2024

AbstractSpinal Cord Injury (SCI) is a condition characterized by complete or incomplete motor and sensory impairment, as well as dysfunction of the autonomic nervous system, caused by factors such as trauma, tumors, or inflammation. Current treatment methods primarily include traditional approaches like spinal canal decompression and internal fixation surgery, steroid pulse therapy, as well as newer techniques such as stem cell transplantation and brain-spinal cord interfaces. However, the above methods have limited efficacy in promoting axonal and neuronal regeneration. The challenge in medical research today lies in promoting spinal cord neuron regeneration and regulating the disrupted microenvironment of the spinal cord. Studies have shown that gas molecular therapy is increasingly used in medical research, with gasotransmitters such as hydrogen sulfide, nitric oxide, carbon monoxide, oxygen, and hydrogen exhibiting neuroprotective effects in central nervous system diseases. The gas molecular protect against neuronal death and reshape the microenvironment of spinal cord injuries by regulating oxidative, inflammatory and apoptotic processes. At present, gas therapy mainly relies on inhalation for systemic administration, which cannot effectively enrich and release gas in the spinal cord injury area, making it difficult to achieve the expected effects. With the rapid development of nanotechnology, the use of nanocarriers to achieve targeted enrichment and precise control release of gas at Sites of injury has become one of the emerging research directions in SCI. It has shown promising therapeutic effects in preclinical studies and is expected to bring new hope and opportunities for the treatment of SCI. In this review, we will briefly outline the therapeutic effects and research progress of gasotransmitters and nanogas in the treatment of SCI.
Graphical Abstract
Aβ42 and ROS dual-targeted multifunctional nanocomposite for combination therapy of Alzheimer’s disease
Authors: Zhang Liding , Cao Kai , Xie Jun , Liang Xiaohan , Gong Hui , Luo Qingming , Luo Haiming 
Published: May 2024

AbstractAmyloid-β (Aβ) readily misfolds into neurotoxic aggregates, generating high levels of reactive oxygen species (ROS), leading to progressive oxidative damage and ultimately cell death. Therefore, simultaneous inhibition of Aβ aggregation and scavenging of ROS may be a promising therapeutic strategy to alleviate Alzheimer’s disease pathology. Based on the previously developed antibody 1F12 that targets all forms of Aβ42, we developed an Aβ42 and ROS dual-targeting nanocomposite using biodegradable mesoporous silica nanoparticles as carriers to load ultra-small cerium oxide nanocrystals (bMSNs@Ce-1F12). By modifying the brain-targeted rabies virus glycoprotein 29 (RVG29-bMSNs@Ce-1F12), this intelligent nanocomposite can efficiently target brain Aβ-rich regions. Combined with peripheral and central nervous system treatments, RVG29-bMSNs@Ce-1F12 can significantly alleviate AD symptoms by inhibiting Aβ42 misfolding, accelerating Aβ42 clearance, and scavenging ROS. Furthermore, this synergistic effect of ROS scavenging and Aβ clearance exhibited by this Aβ42 and ROS dual-targeted strategy also reduced the burden of hyperphosphorylated tau, alleviated glial cell activation, and ultimately improved cognitive function in APP/PS1 mice. Our findings indicate that RVG29-bMSNs@Ce-1F12 is a promising nanodrug that can facilitate multi-target treatment of AD.