bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of mini-clinical evaluation exercise (Mini-CEX) on training the community outpatient medical interviewing ability among general medicine resident physicians
Authors: wang yuanmei , Wang Zhihong , Zou Wusong , Wang Shiqi , Jiang Fan , Li Haiyan 
Published: October 2022

Abstract
Background: To evaluate the effects of mini-clinical evaluation exercise (Mini-CEX) on the training of community outpatient medical interviewing ability among general medicine resident physicians.
Methods: Eighty general medicine resident physicians rotating at the Changqing Garden Community Health Service Center in Wuhan Fourth Hospital were recruited as study participants. The participants were randomized into an experimental group and a control group, with 40 participants per group. Both groups received the same 20 training sessions. However, the experimental group received Mini-CEX evaluation and feedback regarding their community outpatient medical interviewing ability after 10 training sessions. After 20 training sessions, community outpatient medical interviewing ability was evaluated in both groups.
Results: The outpatient medical interviewing ability score of the experimental group was higher than that of the control group (P<0.05). Stratified analysis based on cohort was performed, and the scores of the year 1 and year 3 cohorts in the experimental group were higher than in the control group (P<0.05). A questionnaire survey was carried out on all participants, and 87.5% were supportive of addition of Mini-CEX in the course.
Conclusions: Mini-CEX evaluation in standardized residents training can improve their medical interviewing ability. Residents were receptive of this teaching model.
COVID-19 immunity after vaccination in the population of the Portuguese province Beira Baixa
Authors: Ribeiro Ines , Santos Adriana , Martins Manuel , Liberal Joana , Coelho Patricia , Gavinhos Catarina , Carrondo Cristina , Rodrigues Francisco 
Published: October 2022

Abstract

Introduction

The high emergency in the control of the pandemic has determined that the scientific community is dedicated to the production of effective vaccines for immunization against SARS-CoV-2. With the emergence of new variants of SARS-CoV-2, there was a need to increase immunity in the vaccinated population through a booster dose. The booster dose is allowed to increase the immunity of individuals and, consequently, reduce the probability of reinfection, as well as severe symptoms associated with COVID-19.

Objective

To evaluate the acquired immunity to COVID-19 through vaccination, and to verify the influence of the booster dose on the antibody’s concentration.

Materials and Methods

Data were collected from 965 individuals of both genders and vaccinated for COVID-19.

Results

91.8% of the sample had neutralizing antibodies against SARS-CoV-2, and the group of fully vaccinated individuals had a higher percentage of neutralized antibodies compared to individuals who did not have a booster dose (53.2% vs. 38 .7%).

Discussion

Neutralizing antibodies were found in 91.8% of the sample, which demonstrates the effectiveness of vaccination in the production of antibodies. The results demonstrated the effectiveness of the booster dose in the production of neutralizing antibodies against SARS-CoV-2.

Conclusion

Vaccination was quite effective in producing neutralizing antibodies. In addition, booster vaccination increased humoral immunity.
UDE-based adaptive dynamic surface control for attitude-constrained reusable launch vehicle
Authors: Mo Ran , Li Wenting , Su Shanwei 
Published: October 2022

Abstract
<div>This paper presents an adaptive dynamic surface control (DSC) scheme for vertical takeoff and landing reusable launch vehicles (VTLVs) with unknown disturbances, model uncertainties, and an attitude constraint to achieve exact attitude tracking control in the aerodynamic descent phase. First, the six degree-of-freedom dynamic model of the VTLV is established. Next, the unknown disturbances and mod</div> <div>el uncertainties in the VTLV model are considered as the total disturbances, which are estimated by employing an uncertainty and disturbance estimator (UDE) to compensate the controller, thereby enhancing the control accuracy of the system. Moreover, a symmetric time-varying barrier Lyapunov function (BLF) is utilized to cope with the attitude-constrained problem. Finally, the high tracking performance of the proposed adaptive dynamic surface controller is verifified by numerical simulation results.</div>
Development and validation of TCM prediction model of diabetic peripheral neuropathy among type 2 diabetes mellitus population in Tianjin, China
Authors: Tian Zhikui , Fan Yadong , Sun Xuan , Wang Dongjun , Guan Yuanyuan , Zhang Ying , Zhang Zhaohui , Guo Jing , Bu Huaien , Wu Zhongming , Wang Hongwu 
Published: October 2022

Abstract
Aims: To determine the clinical predictors of symptoms of TCM and tongue features in type 2 diabetes mellitus (T2DM) with diabetic peripheral neuropathy (DPN), in further to verify whether these parameters of TCM can be used to develop a clinical model for predicting onset of DPN among T2DM.
Methods: We collect information from a standardized questionnaire. The questionnaire survey was performed on 3590 T2DM, participants were randomly divided the training group (n = 3297) and the validation group (n = 1246). Symptoms of TCM and tongue features had used to evaluate the risk to develop DPN in T2DM. The least absolute shrinkage and selection operator (LASSO) regression analysis method and logistic regression analysis had used to optimize variable selection by running 5-fold cross-validation in the training group. Multi-factor logistic regression analysis was used to establish a predictive model. The nomogram had been developed based on the relevant risk factors. A receiver operating characteristic curve (ROC), calibration plot and decision curve analysis (DCA) were used to assess the model in training group and validation group.
Results: A total of eight predictors were found to be independently associated with the DNP in multivariate logistic regression analyses, namely such as advanced age of grading (OR 1.575, 95% CI 1.236–2.006, p = 0.000), smoke (OR 2.815, 95% CI 2.079–3.811, p = 0.000), insomnia (OR 0.557, 95% CI 0.408–0.761, p = 0.000), sweating (OR 0.535, 95% CI 0.362–0.791, p = 0.002), loose teeth (OR1.713, 95% CI 1.258–2.331, p = 0.001), dry skin (OR1.831, 95% CI 1.303–2.574, p = 0.000), purple tongue (OR 2.278, 95% CI 1.514–3.428, p = 0.000) and dark red tongue (OR 0.139, 95% CI 0.044–0.441, p = 0.001). The model constructed with using these eight predictors exhibited medium discriminative capabilities, with an area under the ROC of 0.727 in the training group and 0.744 in the validation group. The calibration plot is shown that the model possesses satisfactory in goodness-of-fit.
Conclusions: Introducing age of grading, purple tongue and symptoms of TCM into the risk model increased its usefulness for predicting DPN risk in patients with T2DM.
Delay-guaranteed Mobile Augmented Reality Task Offloading in Edge-assisted Environment
Authors: Hao Jia , Gan Jianhou 
Published: October 2022

Abstract

With the introduction of augmented reality (AR) technology into mobile devices, it becomes a trend to develop mobile AR applications in various fields. However, the limited mobile hardware resources, like the CPU frequency, memory capacity, etc., makes it difficult to guarantee the delay of resource-intensive AR applications. In response to this challenge, we propose a mobile AR offloading method under the edge-assisted environment. Firstly, we divide an AR task into multiple consecutive subtasks, and then collect the features of hardware, software, configuration, and runtime environments of edge servers to be offloaded. With the features, we construct an AR subtask Execution delay Prediction Bayesian Network (EPBN) to predict the execution delay of different subtasks on each edge platform. Based on the prediction, we model the AR task offloading as the NP-hard Traveling Salesman Problem (TSP), and then propose a PSO-GA based solution by adopting the heuristic algorithm of Particle Swarm Optimization (PSO) to encode the offloading strategy and using Genetic Algorithm (GA) for particle update. The extensive experiments prove that our proposed method can optimize the AR task offloading strategy with the lowest delay and outperform the other baselines.
An Energy-Dense and High-Power Li-Cl2 Battery by Reversible Interhalogen Bonds
Authors: Li Pei , Li Xinliang , Guo Ying , Chen Ao , Zhang Rong , Hou Yue , Huang Zhaodong , Wang Yanbo , Chen Ze , Zhu Jiaxiong , Zhu Minshen , Zhi Chunyi 
Published: October 2022

Abstract
Anionic redox reactions would achieve a high capacity than typical transition-metal-oxide cathodes, offering a low-cost chemistry to advance the energy storage capability of lithium-ion batteries. Li-Cl2 chemistry using anionic redox reactions of Cl0/−1 shows superior operation voltage (~ 3.8 V) and capacity (756 mAh g− 1). However, a redox-active and reversible chlorine cathode has not been developed in organic electrolytes-based lithium-ion batteries. Chlorine ions bonded by ionic bonding hardly dissolve in organic electrolyte, imposing a thermodynamic barrier for redox reactions. Meanwhile, chlorine gas is easily formed during oxidation. Herein, we report an interhalogen compound, iodine trichloride (ICl3), as the cathode to address these two issues. In-situ and ex-situ spectroscopy data and calculations reveal that reduced Cl− ions are partially dissolved in the electrolyte, and oxidized Cl0 is anchored by forming interhalogen bonds with I. A reversible Li-Cl2 at room temperature is developed, which delivers a specific capacity of 302 mAh g− 1 at 425 mA g− 1, and a 73.8% capacity retention at 1250 mA g− 1. The demonstration of reversible interhalogen bonds enabled rechargeable Li-Cl2 battery opens a new avenue to develop halogen compound cathodes.
Differences in diagnosis in patients with atraumatic knee complaints between general practitioners and orthopedic surgeons: a retrospective cohort study
Authors: Evers Bob J. , Schers Henk J. , Ende Cornelia H. M. , Thurlings Rogier , Koëter Sander 
Published: October 2022

Abstract
Background
knee complaints are one of the most common reasons to consult the general practitioners in the Netherlands and contribute to the increasing burden on general practitioners. A proportion of patients that are referred to orthopedic outpatient clinics are potentially referred unnecessarily. We believe osteoarthritis is not always considered by general practitioners as the cause of atraumatic knee complaints. This may impede early recognition and timely care of osteoarthritis complaints and lead to unnecessary referrals.
Methods
the aim of this study was to compare the frequency of (differential) diagnosis of osteoarthritis mentioned in referral letters of general practitioners with the frequency of osteoarthritis mentioned as orthopedic diagnosis at the outpatient clinic. Therefore we conducted a retrospective cohort study based on data collected from referral letters and the corresponding outpatient clinic reports of patients with atraumatic knee complaints of 45 years or older referred to a regional hospital in Nijmegen, The Netherlands in the period from 1-6-2019 until 1-01-2020.
Results
a total of 292 referral letters were included. In the younger aged patients (45–54 years) osteoarthritis was mentioned less frequent and meniscal lesions were mentioned more frequent in referral letters when compared to diagnoses made at the outpatient clinic. Matching diagnoses were present in 58.2% when all referral letters were analyzed and 75.2% when only referrals containing a (differential) diagnosis were analyzed (n = 226). Matching diagnoses were present in 21.4% in the younger age categories (45–54 years).
Conclusions
Osteoarthritis was less frequently mentioned in general practitioner referral letters among the differential diagnosis then it was diagnosed at the outpatient clinic, especially in younger patients (45–54 years). Also matching diagnoses in younger patients were evidently lower than in older patients, possibly explained by underdiagnosing of osteoarthritis in younger patients in this cohort. Better recognition of osteoarthritis in younger patients and changing the diagnostic approach of general practitioners might improve efficacy in knee care. Future research should focus on the effectiveness of musculoskeletal triage, the need for multidisciplinary educational programs for patients and promotion of conservative treatment modalities among general practitioners.
A critical appraisal on antibody detector-serodiagnostics for Bovine Tuberculosis
Authors: Soliman Rafik , Waheeb Neven , Nasr Essam , El-hariri Mahmoud , Abo-Elyazeed Heidy , Aboul-Ella Hassan 
Published: October 2022

Abstract
Bovine tuberculosis is a worldwide disease that causes great economic losses to the dairy industry and constitutes a serious human public health hazard. In the present study, two types of commercially available immunochromatographic lateral flow kits, namely, IQRT Anigen Rapid Bovine TB Ab kit and Ubio quick VET Bovine Tuberculosis Antibody kit were evaluated for their sero-diagnostic sensitivity and specificity of bovine tuberculosis through the detection of Mycobacterium bovis-specific antibodies in tested serum samples. The results obtained by these kits were compared with the ELISA test, bacteriological examination, and tuberculin skin testing. In this study, out of 3750 dairy cattle tested by single intradermal tuberculin skin test, 69 (1.8%) animals reacted positively. From the slaughtered tuberculin-positive cattle 51 animals (73.9%) showed visible lesions on postmortem examination while the remaining 18 animals (26.1%) showed no visible lesions. Using bacteriological examination of tissue specimens collected, 48 out of the 69 positive tuberculin reactor animals (69.6%) were positive and M. bovis was successfully isolated. Using ELISA for serological examination of serum samples collected prior to skin testing from the 69 positive tuberculin reactors, only 26 cases (37.7%) were positive. The serodiagnosis of bovine tuberculosis using the IQRT Anigen lateral flow kit, which employed recombinant M. bovis MPB70 antigen as capture and detector, could identify only 21 positive cases, which represent 43.8% of 48 bacteriologically identified cases and 30.44% out of the 69 tuberculin positive cases. On the other hand, the Ubio quick VET kit has detected zero% of bovine tuberculosis-positive cattle. It is concluded that the use bovine tuberculosis Antibody Rapid Test Kit alone may be unreliable for the detection of tuberculosis-infected cattle.
Life Cycle Assessment of Sugar Production in Sudan: Green-House Gases Emissions and Energy Usage
Authors: Ibrahim Tageldeen Saeed Tageldeen , Workneh Tilahun Seyoum 
Published: October 2022

Abstract

A Life Cycle Assessment used to analyse the Sudanese sugar production environmental impact. The systems studied include sugarcane production, fertilizers, and herbicides manufacturing, sugarcane harvesting and transportation, and sugar milling. The study used SimaPro Software Version 9.0.0.49 and the methods of ReCiPe 2016 and Intergovernmental Panel for Climate Change (IPCC) 2007. Sugarcane production was the most consumer (39%) of fossil fuel (2166 MJ t− 1 sugar), followed by sugar processing (26.6%), sugarcane cultivation (20.7%) and sugarcane harvesting with transportation (13.7%). The green-house gases emissions were 271.2 kg CO2-equivalent t− 1 sugar and 59% of this is from sugarcane production. However, 51% of the global warming potential was from sugar processing, sugarcane production. The principal contributor to ozone depletion was sugarcane production (44%). Sugar processing has contributed significantly to eutrophication, acidification, particulate matter, and ecotoxicity. The study has recommended enhancement on the sugar industry operations that would substantially improve environmental performance.
The Technological Barrier in the World of Disability: The Wall to Tear Down
Authors: Kerras Hayet , Bautista Susana , Perea Danilo Santos Piñeros , De-Miguel María Dolores 
Published: October 2022

Abstract
Digital transformation is a reality that is having a greater impact on the lives of each person. However, its achievement depends on the accessibility and use of Information and Communication Technologies (ICTs), regardless of gender, age, race, geographical area, or disability. People with disabilities and especially women are faced with digital gaps that harm them in their daily lives. The objective of this work is to investigate, through a survey, the perception of this community about their availability and technological skills and to evaluate the contribution of technologies at a personal, professional, educational, and social level. The results of this study show that there is a very visible digital gender gap, especially in terms of the use of technology, which affects the improvement of the lives of people with disabilities. Finally, measures are proposed that allow a change in the current situation to avoid the limitations suffered by these people.
Explainable Machine Learning model reveals its decision-making process in identifying patients with paroxysmal atrial fibrillation at high risk for recurrence after catheter ablation
Authors: Ma Yibo , Zhang Dong , Xu Jian , Pang Huani , Hu Miaoyang , Li Jie , Zhou Shiqiang , Guo Lanyan , Yi Fu 
Published: October 2022

Abstract
Background
A number of models have been reported for predicting atrial fibrillation (AF) recurrence after catheter ablation. Although many machine learning (ML) models were developed among them, black-box effect existed widely. It was always difficult to explain how variables affect model output. We sought to implement an explainable ML model and then reveal its decision-making process in identifying patients with paroxysmal AF at high risk for recurrence after catheter ablation.
Methods
Between January 2018 and December 2020, 471 consecutive patients with paroxysmal AF who had their first catheter ablation procedure were retrospectively enrolled. Patients were randomly assigned into training cohort (70%) and testing cohort (30%). The explainable ML model based on Random Forest (RF) algorithm was developed and modified on training cohort, and tested on testing cohort. In order to gain insight into the association between observed values and model output, Shapley additive explanations (SHAP) analysis was used to visualize the ML model.
Results
In this cohort, 135 patients (14.2/100 patient-years) experienced tachycardias recurrence. With hyperparameters adjusted, the ML model predicted AF recurrence with an area under the curve (AUC) of 66.7% in the testing cohort. Based on SHAP analysis, the ML model's decision-making process was revealed: (i) summary plot listed the top 15 features in descending order and preliminary showed the association between features and outcome prediction; (ii) dependence plots combined with force plots showed the impact of single feature on model output, and helped determine high risk cut-off points; (iii) decision plot recognized significant outliers.
Conclusion
An explainable ML model effectively revealed its decision-making process in identifying patients with paroxysmal atrial fibrillation at high risk for recurrence after catheter ablation. Physicians can combine model output, visualization of model and clinical experience to make better decision.
Are pristine and functionalized fullerenes genuine constituents of airborne aerosols?
Authors: Santos Fábio N. dos , Nascimento Madson M. , Rocha Gisele , de Andrade Jailson 
Published: October 2022

Abstract
We investigated if pristine and functionalized fullerenes could be actual constituents of fine atmospheric aerosols. Comprehensive profiles of fullerenes from 1 µL extracts were made through matrix laser desorption ionization Time-of-Flight Mass Spectrometry (MALDI-MS) within a few minutes. Using 1 µL of α-cyano-4-hydroxycinnamic acid matrix solution spotted over the dried extracts, the ion with m/z 720, corresponding to [C60]-•, was identified as fullerene. The ions with the m/z corresponding to C70, C76, C78, C84, C100, C118, C128, and C130 were also attributed to other fullerene species detected within the samples. The fullerene derivative diethyl methano[60]fullerene dicarboxylate was observed as the ion m/z 878. Since ions of fragmented fullerene molecules were not detected even at high laser energies, we considered the fullerenes’ occurring as original constituents of real atmospheric particle matrices instead of being formed as artifacts of the laser action on samples. Therefore, this protocol would be helpful in the understanding of the distribution of either pristine or functionalized fullerenes in the environment and their participation in atmospheric chemistry under typical conditions, as well as to be applied in vitro and in vivo (eco)toxicity studies.
The Rna-binding Protein Fus/tls Interacts With Spo11 and Provides a Link With Prdm9-dependent Recombination Hotspots
Authors: Giannattasio Teresa , Testa Erika , Palombo Ramona , Chellini Lidia , Crevenna Álvaro , Petkov Petko , Paronetto Maria Paola , Barchi Marco 
Published: October 2022

Abstract
In mammals, meiotic recombination is initiated by the introduction of DNA double strand breaks (DSBs) into narrow segments of the genome, defined as hotspots, which is carried out by the SPO11/TOPOVIBL complex. A major player in hotspots specification is PRDM9, a histone methyltransferase that following sequence-specific DNA binding generates trimethylation on lysine 4 (H3K4me3) and lysine 36 (H3K36me3) of histone H3, thus defining the hotspots. PRDM9 activity is key to successful meiosis, as in its absence DSBs are redirected to functional sites, and synapsis between homologous chromosomes fails. One protein factor recently implicated in guiding PRDM9 activity at hotspots is EWS, a member of the FET family of proteins that also includes TAF15 and FUS/TLS. Here, we demonstrate that FUS/TLS partially co-localizes with PRDM9 on meiotic chromosome axes, marked by the synaptonemal complex component SYCP3, and physically interacts with PRDM9. Furthermore, we show that FUS/TLS also interacts with REC114, one of the axis-bound SPO11-auxiliary factors essential for DSBs formation. This finding suggests FUS/TLS as a component of the protein complex that promotes meiotic recombination initiation. Accordingly, we document that FUS/TLS co-immunoprecipitates with SPO11 in vitro and in vivo. The interaction occurs with both Spo11β and Spo11α splice isoforms, which are thought to play distinct functions in DSB formation onto autosomes and male sex chromosomes, respectively. Finally, by using chromatin immunoprecipitation experiments, we show that FUS/TLS localizes at H3K4me3-marked hotspots onto autosomes and in the pseudo autosomal region, the site of genetic exchange between the XY chromosomes.