bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectrum of valvular lesions in newly diagnosed rheumatic heart disease
Authors: Alam M. Saidul , Rahman M. Arifur , Karim M. Fazlul , Khatun Khadeza , Abdul Hye Mohammad , Munira Shirajum , Raha Sanjay Kumar , Biswas Smriti Kana , Jobayer Mohammad 
Published: August 2023

Background: Rheumatic heart disease (RHD) is the most common acquired heart disease among young adults and an important health problem in developing countries. There is much scarcity of information about echocardiographic evaluation of valvular involvement of RHD in Bangladesh. Objective of this study was to analyze the clinical spectrum and pattern of cardiac valvular lesions in newly diagnosed RHD patients.
Methods: This cross-sectional study was conducted from April 2019 to May 2021 in National Center for Control of Rheumatic Fever and Heart Diseases (NCCRF and HD), Dhaka, Bangladesh. Newly diagnosed 160 RHD patients irrespective of age and sex were enrolled. Medical history was obtained, physical examination was carried out, several investigations were done and standard color Doppler echocardiography was performed. Diagnosis of RHD was made following 2012 World Heart Federation criteria.
Results: More than 60% of newly diagnosed patients of RHD were female; mean age of patients was 24.29±9.17 years and 77.5% of patients were between 15-34 years of age. Detected valvular lesions were mostly isolated (65%) and mitral valve involvement was 88.7%. Isolated mitral regurgitation was detected among 56.3% patients and was higher in female. Combination of mitral regurgitation and mitral stenosis were reported in 12.5% cases whereas mitral regurgitation with aortic regurgitation was present in 10.6% cases. Overall, 14 (6.4%) of the newly diagnosed patients were detected with severe forms of cardiac valvular lesion.
Conclusions: RHD were common in young adults. Mitral valve was predominantly involved, particularly presenting as isolated mitral regurgitation.
Investigating the relationship between demographic and socio- economic characteristics on the attendance to comprehensive health services center for blood pressure measurement: a cross-sectional study
Authors: Salehi Mahdi , Heidari Mohammad Mahdi , Azimi Pedram , Tavasoli Hosein , Omranifard Danyal 
Published: August 2023

Objectives: Many people around the world suffer from hypertension which increases the risk of heart failure and mortality. But most cases are not interested in referring to medical centers to have their blood pressure checked. The aim of this study was to investigate the relationship between demographic and socioeconomic characteristics of attending Barzok Comprehensive Health Services Center for blood pressure measurement.
Methods: The current cross-sectional study was performed in 76 hypertensive patients. Demographic and socioeconomic information was collected and compared based on referral to Barzok Comprehensive Health Services Center for blood pressure measurement.
Results: In this study, out of 76 cases, 10 patients (13.15%) referred to medical centers for blood pressure measurement, 66 cases (86.8%) did not go to medical centers. There was no statistically significant difference in gender and age between the two groups of patients (p>0.05). In addition, the two groups were similar in terms of education level, occupational status, smoking history, and family history of hypertension (P=0.824, P=0.492, P=0.233 and P=0.276, respectively). However, mean systolic blood pressure (118 ± 9.18 mmHg vs 140.55 ± 17.06 mmHg, P<0.001) and diastolic blood pressure (75 ± 8.49 mmHg vs 84.53 ± 8.62 mmHg, P=0.006) in the group of cases referred to Barzok medical center was significantly lower (better) than in cases who did not refer (p<0.05).
Conclusions: People at high risk for hypertension or those with hypertension regardless of their demographic or socio- economic characteristics or even where they live, should be trained to refer to comprehensive health service centers by creating motivation and insight.
The Influence of Self-efficacy on Organizational Commitment and Ethical Behavior: The Role of Job Satisfaction
Authors: Aryati Ana Sofia , Armanu  
Published: August 2023

Objective: This study aims to analyze the effect of self-efficacy on organizational commitment and ethical behavior. Furthermore, this study also examines the mediating role of job satisfaction in determining the relationships.
Design/Methods/Approach: This study was carried out on healthcare and administrative staff. The sample size and respondents were determined using the Slovin formula and selected through random sampling. The data collected was analyzed using PLS analysis.
Findings: The findings reveal that self-efficacy positively and significantly affects ethical behavior and organizational commitment. Additionally, job satisfaction plays a role in mediating the connection between self-efficacy and organizational commitment. Similarly, the analysis shows that job satisfaction mediates the link between self-efficacy and ethical behavior.
Originality: The novelty of this study lies in the influence of self-efficacy on organizational commitment and ethical behavior. Previous studies mainly analyzed the influence of self-efficacy on other variables, in which none of them had combined the two variables, along with job satisfaction as a mediation variable. In particular, this study is novel as it analyzes job satisfaction for workers in a Regional General Hospital, in which prior studies only focused on other non-health institutions or companies.
Practical/Policy implication: Optimizing communication and institutionalizing ethical and moral values will improve workers' self-efficacy. Institutions should focus on maintaining job satisfaction, including work, rewards, supervision, co-workers, and promotion opportunities, to promote employee commitment and ethical behavior.
Reimagining the Path of an Unmatched Orthopaedic Residency Application
Authors: Bryant Stewart A. , Jardaly Achraf H. , Ponce Brent A. , Guthrie S. Trent , Slone Harris , Bruce Jeremy R. ,   on behalf of the Collaborative Orthopaedic Educational Research Group (COERG)
Published: August 2023

Background:
Few evidence-based suggestions are available to help applicants and mentors improve reapplication outcomes. We sought to provide program directors' (PDs) perspectives on actionable steps to improve reapplicants' chances for a match.

Methods:
The PDs were asked to rank positions unmatched applicants can pursue, steps these applicants can take for the next application cycle, and reasons why reapplicants do not match.

Results:
Responses from 66 of 123 PDs were received (53.6% response rate). Obtaining new recommendation letters and rotating with orthopaedics were the highest 20 ranked steps unmatched applicants can take. No curriculum vitae (CV) improvement, poor interview, and poor letters of recommendation were the most important reasons hindering applicants from matching when reapplying.

Conclusions:
Steps reapplicants could prioritize include obtaining new recommendation letters, rotating in orthopaedics, and producing new research items. CV strengthening and improving interview skills address the 2 main reasons why unmatched applicants failed in subsequent attempts.

Level of Evidence:
Level IV
UWB Wireless Positioning Method Based on LightGBM
Authors: Cui Xuerong , Li Yuanxu , Li Juan , Jiang Bin , Li Shibao , Liu Jianhang 
Published: August 2023

Abstract

In the ultra-wideband indoor positioning sceneraio, the non-line of sight (NLOS) propagation may be caused by obstacles, which may lead to the deviation of ranging value and affect the positioning precision. Therefore, we propose a NLOS identification and error regression positioning algorithm based on light gradient boosting machine (LightGBM). Firstly, ReliefF algorithm combined with Spearman correlation coefficient is used to analyze the feature correlation, and eight channel features such as total channel impulse response power and standard deviation of noise are selected as NLOS identification features. Then, we adopt genetic algorithm to optimize the hyperparameters of LightGBM for NLOS identification. On this basis, the proposed error regression model based on convolutional neural network (CNN) combined with LightGBM is used to correct the ranging results, so as to achieve highprecision positioning. Through the verification on the public dataset, the NLOS identification accuracy reached 91.8%, and the positioning precision is improved by 45cm after correcting the ranging results.
The local variation of the Gaussian modulus enables different pathways for fluid lipid vesicle fusion
Authors: Casciola Carlo , Bottacchiari Matteo , Gallo Mirko , Bussoletti Marco 
Published: August 2023

Abstract
Viral infections, fertilization, neurotransmission, and many other fundamental biological processes rely on membrane fusion. Straightforward calculations based on the celebrated Canham-Helfrich elastic model predict a large topological energy barrier that prevents the fusion process from being thermally activated. On the one hand, such high energy is in accordance with the physical barrier function of lipid membranes, but, on the other hand, it is difficult to reconcile with the biological mechanisms involved in fusion processes.In this work, we use a Ginzburg-Landau type of free energy that recovers the Canham-Helfrich model in the limit of small width-to-vesicle-extension ratio, with the additional ability to handle topological transitions. We show that a local modification of the Gaussian modulus in the merging region both dramatically lowers the elastic energy barrier and substantially changes the minimal energy pathway for fusion, in accordance with experimental evidence. Therefore, we discuss biological examples in which such a modification might play a crucial role.
Minimally invasive plate osteosynthesis of proximal humerus fractures through a modified anterior subacromial approach
Authors: Ye Youyou , Yu Zhangjian , Lin Yanbin , Wu Chunling 
Published: August 2023

Abstract
Purpose
Proximal humeral fractures are usually treated through the deltopectoral approach and direct lateral deltoid-split approach. ​The direct lateral deltoid-split technique has a minor incisional injury but restricted exposure, whereas the deltopectoral approach has a somewhat significant incisional injury but greater exposure is possible. ​To combine the advantages of a less invasive incision with enough exposure, this study's objectives was to propose a modified anterior subacromial (MAS) approach for treating proximal humerus fractures and to assess its radiological and clinical results.
Methods
A retrospective analysis was performed on 35 patients with proximal humerus fractures treated with a MAS approach, including 15 males and 20 females, with an average age of 61.7 years. According to the Neer classification, seven patients had 2-part fractures, 10 patients had 3-part fractures, and 18 patients had 4-part fractures. Quantitative variables including operative time, incision length, follow-up time, and Constant-Murley score for shoulder function, fracture union time, and neck-shaft angle (NSA) were recorded. Qualitative variables including intraoperative and postoperative complications were assessed.
Results
All cases achieved bony union, and the average healing time was 11.8±1.4 weeks (range, 10–15 weeks). During a mean follow-up of 22.1±5.8 months (range, 14-31 months), the mean incision length was 80.7±2.5 mm (range, 76–90 mm). The pain score at the last follow-up was 1.63±0.7 (range, 1–3). The Constant-Murley score of shoulder joint function at the last follow-up was 89.6±2.9 (range, 84–95). The complications such as ischemic necrosis of the humeral head and varus collapse at the fracture site, as well as sensory deficits in the distribution of the axillary nerve or anterior deltoid paralysis, were not observed. The mean NSA at the last follow-up was 133.4±3.1° (range, 128°-138°). In terms of statistical significance, there was no difference between fractures of Neer types 2, 3, and 4.
Conclusion
The MAS approach has the properties of minimally invasive incision and effective exposure, which has advantages in reduction, plate placement, and inferomedial calcar screw (IMCS) placement of proximal humeral fractures. This approach is a useful alternative to the deltopectoral approach or direct lateral deltoid-split approach in the treatment of proximal humeral fractures.
Magnetic Resonance Imaging Assessing the Correlation of Components and Prognosis in Myxoid Liposarcoma
Authors: Hua Jianjun , Yang Wenting , Li Angcheng , Ying Mingliang , Wang Sisi 
Published: August 2023

Abstract

Objective: To analyse the components of Myxoid liposarcoma(MLS) by Magnetic Resonance Imaging(MRI) features and explore the correlation with prognosis.
Methods: Twenty MLS patients who underwent MRI were retrospectively enrolled. Tumor components was analysed by MRI features and the diagnostic efficacy of prognosis was presented as sensitivity and specificity. Patients were categorized into good and poor prognosis according to the postoperative follow-up.
Results: The proportion (mean±SD) of non-fatty/non-myxoid components in the good and poor prognosis groups were （18.18±11.68）% and （66.67±15.00）% respectively(P<0.001). The proportion of mucus composition also had significantly different between the two groups((73.64±13.62)% vs (30.56±16.09)%, P<0.001). Good prognosis group has higher ADC value (mean±SD: (1.66±0.23)mm2/s) and lower ADC low signal ratio(median±interquartile range: (5.00±10.00)%) in non-fat/non-mucinous areas than poor((1.21±0.41)mm2/s, (20.00±39.00)%; P=0.006，P=0.001). The prognosis between the component ratio <25% and> 50% of both non-fat/non-mucinous and mucus composition were statistically significant(P=0.001，P=0.008). The proportion of non-fat/non-mucus component had the highest diagnostic efficacy, with a sensitivity, specificity and accuracy of >90%(100%，90.09%，90%), AUC=0.99.
Conclusion: Imaging features were closely related to the histological components of MLS. Diffusion-restricted areas in non-fatty/non-mucinous components may suggest dense areas of round cell. Using MRI features to assess the components of MSL have certain implications for prognostic prediction，especially before preoperative puncture biopsy.
A Retrospective Study of Unilateral Biportal Endoscopic Discectomy and Transforaminal Endoscopic Discectomy for Single Level Calcified Lumbar Disc Herniation
Authors: Wang Weijian , Li Jiaqi , Xu Yafei , Luo Yun , Sun Yapeng , Zhang Wei 
Published: August 2023

Abstract
Purpose The purpose of this study was to compare the clinical effects of unilateral biportal endoscopic (UBE) discectomy and percutaneous endoscopic transforaminal discectomy (PETD) in the treatment of single level calcified lumbar disc herniation.
Methods We reviewed all the cases of calcified lumbar disc herniation treated with UBE discectomy or PETD in our hospital from July 2020 to May 2022. The medical records and imaging data of cases with a follow-up period of more than 1 year were collected. The clinical effects of the two surgical methods were evaluated according to the visual analogue scale (VAS) of low back pain and Oswestry disability index (ODI) at preoperative, postoperative and postoperative follow-up time points.
Results There was no difference in age, sex, BMI, surgical segment and type of calcification between the UBE group and PETD group. Compared with the UBE group, the PETD group has obvious advantages in operation time, blood loss, incision length and hospital stay, but needs more fluoroscopy times. The postoperative VAS and ODI scores were significantly improved in both groups. The VAS score of low back pain in the UBE group was higher on the 3rd day after operation, and there was no significant difference in follow-up between the two groups. Two patients in UBE group had dural tear, and one patient in PETD group had transient ipsilateral nerve root paralysis and limb numbness.
Conclusions Both PETD and UBE discectomy can achieve satisfactory results in the treatment of calcified disc herniation. However, the operation time, injury and hospitalization time of PETD are less, but it requires special surgical tools and more fluoroscopy times.
Enhancing Iot Security in cryptocurrency with Smart model-based Blockchain integration: KAFKAIOT - A Distributed Access Control System
Authors: Shukla Piyush Kumar , Pamucar Dragan , Alqahtani Omar , Dwivedi Ashish , Aleryani Aliya , Alouane M. Turki-Hadj 
Published: August 2023

Abstract
Internet of Things (IoT) has rapidly expanded with the interconnection of various devices through wireless networks. However, this widespread deployment of IoT devices has posed challenges in managing access to device resources due to their vast quantity and scale. As these IoT devices generate and share sensitive data, ensuring secure access becomes paramount. Traditional access control systems like Discretionary Access Control (DAC), Intelligent Dynamic Bandwidth Access Control (IBAC), and Mandatory Access Control (MAC) have limitations such as centralization, single-point failure, and low throughput, making them less suitable for dynamic and diverse IoT environment. To address these challenges, Role-Based Access Control (RBAC) emerges as a promising solution as it provides fine-grained and dynamic access control based on user attributes, resource attributes, action attributes, environmental attributes, permissions, and environmental context. In parallel, Blockchain Technology (BCT) has gained attention as a distributed data management system, ensuring data integrity through decentralization, immutability, and consensus mechanisms. Kafka-based Hyperledger Fabric, an open-source blockchain platform, offers more efficient consensus mechanisms, higher throughputs, and support for multiple organizations and ledgers. This study proposes to develop a novel "KafkaIoT" system, which integrates Kafka-based Hyperledger Fabric with RBAC to create a distributed access control system for IoT. By leveraging blockchain's distributed architecture, KafkaIoT addresses the challenges of record tracking, dynamic access control management, and access control in the IoT landscape. The seamless integration of BCT with IoT can enhance security and enable the development of distributed IoT-based cryptocurrency services, contributing to a safer and more reliable IoT ecosystem.
Spatio-temporal density of the demersal Chondrichthyes assemblage in an upper bathyal of the eastern Mediterranean Sea
Authors: Deval Mehmet Cengiz , Mutlu Erhan 
Published: August 2023

Abstract
Chondrichthyans are a very important taxon that plays a role at the top of the trophic level of the food chain and are vulnerable species in the marine ecosystem. The deep waters of the eastern Mediterranean Sea have been less studied than the continental shelf, especially for the chondrichthyans. Therefore, the present study was conducted to investigate the spatio-temporal distribution of chondrichthyans collected monthly in different depth strata (200–900 m) during different periods (2010–2011 and 2019–2021) using an otter bottom trawl. A total of 17 species were identified, consisting composed of 6 batoids, 10 sharks and 1 chiemaers was identified. The constant species (dominance: DO%> 50) in the study area were Galeus melastomus, Scyliorhinus canicula, Etmopterus spinax and Raja clavata. The most abundant species was E. spinax, followed by G. melastomus. There were 14 species in the first survey and 15 species in the second survey. Faunistic characteristics (number of species, abundance, diversity indices) varied only with bottom depth. Two different depthwise assemblages were estimated along the bottom depth gradient; ≤ 500 m and > 500 m. The discriminator species were R.clavata, S.canicula, G. melastomus, D. oxyrinchus and S. blainvillei found on the upper slope and E. spinax, G. melastomus and Centrophorus granulosus found on the lower slope. We estimated a total number of 26 species found in Antalya Bay, which was higher than the number reported in the previous studies.
BioEGRE: A Linguistic Topology Enhanced Method for Biomedical Relation Extraction based on BioELECTRA and Graph Pointer Neural Network
Authors: Zheng Xiangwen , Wang Xuanze , Luo Xiaowei , Tong Fan , Zhao Dongsheng 
Published: August 2023

Abstract
Background: Automatic and accurate extraction of various biomedical relations from literature is a crucial subtask of bio-medical text mining. Currently, stacking various classification networks on pre-trained language models to perform fine-tuning is a common framework to end-to-end solve the biomedical relation extraction (BioRE) problem. However, the sequence-based pre-trained language models underutilize the graphical topology of language to some extent. In addition, sequence-oriented deep neural networks have limitations in processing graphical features.
Results: In this paper, we propose a novel method for sentence-level BioRE task, BioEGRE (BioELECTRA & Graph pointer neural net-work for Relation Extraction), which can capitalize the topological features of language. First, biomedical literature is preprocessed, which preserves sentences containing pre-fetched entity pair. Second, SciSpaCy is used to perform dependency parsing; sentences are modeled as graphs based on the parsing results; BioELECTRA is used to generate token-level representation, which is modeled as the attribute of nodes in sentence graphs; a graph pointer neural network layer is utilized to select the most relevant multi-hop neighbors to optimize the representation; a full-connected neural network layer is used to generate the sentence-level representation. Finally, a Softmax function is utilized to calculate probabilities. Our method is evaluated on a multi-type (CHEMPROT) and 2 binary (GAD and EU-ADR) BioRE tasks respectively, and achieves 79.97% (CHEMPROT), 83.31% (GAD) and 83.51% (EU-ADR) of F1-score, which outperforms existing state-of-the-art models.
Conclusion: The experimental results on 3 biomedical benchmark datasets demonstrate the effectiveness and generalization of BioEGRE, which indicates that linguistic topology and a graph pointer neural network layer explicitly improve performance for BioRE tasks.