bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnosis, Preoperative Evaluation, Classification and Total Hip Arthroplasty in Patients with Long-Term Unreduced Hip Joint Dislocation, Secondary Osteoarthritis and Pseudoarthrosis
Authors: Liu Bo , Wu Zhaoke , Zhuang Zhikun , Liu Sikai , Li Huijie , Han Yongtai 
Published: May 2020

Abstract
Background Neglected long-term unreduced hip joint dislocation with secondary osteoarthritis and pseudoarthrosis poses a great challenge to hip surgeons. However, as this is an uncommon injury, few studies have systematically investigated these patients.Methods We retrospectively reviewed 16 patients from 2010 to 2017. The diagnostic value of three different kinds of common radiological examinations were evaluated. We evaluated the bone conditions of the original acetabulum and classified the patients into three types (four subtypes). The surgical procedures and prognosis of the patients were also investigated.Results With the combined application of X-ray, CT scans and 3D reconstruction, 93.8% of these patients (sensitivity = 93.8%, Youden’s index = 0.93, intraclass correlation coefficient = 0.95) could be diagnosed correctly. There were 6/16 (37.5%) type A patients, 4/16 (25.0%) type B1 patients, 5/16 (31.3%) type B2 patients and 1/16 (6.3%) type C patient. For patients with type A injury, the surgical procedures for total hip arthroplasty were similar to “standard” total hip arthroplasty. For patients with type B injury, due to atrophy or partial bone deficiency of the original acetabulum, the surgical procedure for total hip arthroplasty was probably similar to those for patients with developmental dysplasia of the hip. For patients with type C injury, the situation was similar to that of revision surgery. The average Harris hip score postoperatively was 89.94 ± 5.78 points (range: 79–98 points).Conclusions The new classification system could help surgeons estimate potential difficulties during total hip arthroplasty. The prognosis of most patients after total hip arthroplasty is expected to be excellent or good.
Locking Intramedullary Nails Versus Locking Plates in the Treatment of 2-part and 3-part Proximal Humeral Surgical Neck Fractures in Elderly Patients: A Prospective Cohort Study
Authors: Geng Rui , Wu Hao , Ren Ke , Chang Qing , Yusufu Yalikun , Xu Jihao , Lu Jun 
Published: May 2020

Abstract
Background: Locking intramedullary nails and locking plates are most widely used in the treatment of 2-part and 3-part proximal humeral surgical neck fractures, however, the clinical outcomes are controversial. This study aimed to compare the clinical outcomes of treatment with these two implants in elderly patients.Methods: In this prospective cohort study with a 24-month follow-up period, from June 2014 to November 2016, a total of 53 elderly patients with 2-part and 3-part proximal humeral surgical neck fractures treated with locking intramedullary nails and locking plates were included. We analyzed the intraoperative and radiographic parameters. The American Shoulder and Elbow Surgeons (ASES) score, Constant–Murley score and range of motion (ROM) were used to evaluate shoulder function. We also assessed the visual analog scale (VAS) score and complication rate.Results: For both 2-part and 3-part proximal humeral surgical neck fractures, the nail group showed statistically significant superiority compared with the plate group in terms of the operative duration, incision length, blood loss, hemoglobin loss, neck-shaft angle (NSA) loss, time to bony union and pain. Good to satisfactory clinical outcomes were obtained with both types of implants. Significant differences were not found in the functional results or complication rate between the two groups at different time points during the follow-up period.Conclusions: Treatment with both locking intramedullary nails and locking plates achieves similar and good to satisfactory clinical outcomes in elderly patients. We favor locking intramedullary nails, especially in the treatment of 2-part proximal humeral surgical neck fractures.Trial registration: Medical Ethics Committee for Clinical Research of Zhongda hospital, ZDYJLY (2014) new No. 9. Registered 05 March 2014，http://www.njzdyy.com
Evaluation of [13N]ammonia Positron Emission Tomography for Quantifying Glutamine Synthetase Activity in the Human Brain.
Authors: Egerton Alice , Dunn Joel , Singh Nisha , Yu Zilin , O'Doherty Jim , Koychev Ivan , Webb Jessica , Claridge Simon , Turkheimer Federico , Marsden Paul , Hammers Alexander , Gee Antony 
Published: May 2020

Abstract
Purpose The conversion of synaptic glutamate to glutamine in astrocytes by glutamine synthetase (GS) is critical to maintaining healthy brain activity and may be disrupted in several brain disorders. As the GS catalysed conversion of glutamate to glutamine requires ammonia, we evaluated whether [13N]ammonia positron emission tomography (PET) could reliability quantify GS activity in humans.Methods In this test-retest study, eight healthy volunteers each received two dynamic [13N]ammonia PET scans on the morning and afternoon of the same day. Each [13N]ammonia scan was preceded by a [15O]water PET scan to account for effects of cerebral blood flow (CBF).Results Concentrations of radioactive metabolites in arterial blood were available for both sessions in five of the eight subjects. Our results demonstrated that kinetic modelling was unable to reliably distinguish estimates of the kinetic rate constant k3 (related to GS activity) from K1 (related to [13N]ammonia brain uptake), and indicated a non-negligible back-flux of [13N]ammonia to blood (k2). Model selection favoured a reversible one tissue compartmental model, and [13N]ammonia K1 correlated reliably (r2 = 0.72–0.92) with [15O]water CBF.Conclusion The [13N]ammonia PET method was unable to reliably estimate GS activity in the human brain but may provide an alternative index of CBF.
Association of Nutrition Knowledge, Practice, Supplement use and Nutrient Intake with Athletic Performance Among Taekwondo Players in Nepal
Authors: Sunuwar Dev Ram , Singh Devendra Raj , Bohora Man Prasad , Shrestha Vintuna , Karki Kshitij , Pradhan Pranil Man Singh 
Published: May 2020

Abstract
Introduction: Adequate nutrition knowledge and dietary intake are important for enhancing athletic performance. Athletes are more likely to be tired and perform poorly during sports when they do not get enough diet. To the best of our knowledge, this study is first of its kind to measure the association of nutritional knowledge, practice, supplement use, and nutrient intake with athletic performance among Nepalese Taekwondo (TKD) players.Methodology:We conducted an analytical cross-sectional study among 293 Taekwondo players of Kathmandu Metropolitan City, between August 2019 and January 2020. A two-stage cluster random sampling technique was used to select the desired number of respondents for the study. Face-to-face interviews were carried out using semi-structured questionnaires. Nutrition knowledge (NK), nutrition practice (NP), supplement use, nutrient intake using 24-hour dietary recall, and anthropometric measurements were taken. A handgrip dynamometer was used to assess the handgrip strength (HGS), as an indirect measure of athletic performance. Univariate and bivariate analyses were employed to find out the association of predictor and outcome variables. Data were analyzed using STATA/MP version 14.1.Results: Out of 293 participants, more than half (56.31% and 55.63%) had poor nutrition knowledge and nutrition practice scores respectively. Total energy intake (2368 Kcal) and protein (13.28%), fat (15.85%), calcium (416 mg), and iron (7 mg) respectively were significantly lower than corresponding Recommended Dietary Allowances (RDA) except carbohydrates intake (71.41%). Nutritional knowledge (r = 0.117), height (r = 0.538), weight (r = 0.651), BMI (r = 0.347), fat (r = 0.075), and energy (0.127) intake showed significant positive correlation with handgrip strength of athletes. The athletic performance were positively associated with training hours per day (β = 0.41, 95% CI: 0.09–0.91), BMI (β = 0.35, 95% CI: 0.09–0.61), NK score (β = 0.13, 95% CI: 0.01–0.25), and energy intake (β = 0.13, 95% CI: 0.12 = 0.14).Conclusions: The results suggested that nutritional knowledge and nutrient intake both were poor among TKD athletes. Height, weight, BMI, nutritional knowledge, energy, and fat intake were positive correlation with athletic performance. Further well-constructed longitudinal research is warranted to identify the robust relationship between nutritional knowledge, practice, different supplement use, and nutrient intake among athletes.
Micromachined Ceramic-based Chipless LC Resonator for High-Temperature Wireless Sensing Application in Harsh Environments
Authors: Idhaiam Kavin Sivaneri Varadharajan , Sabolsky Katarzyna , Redinger Lawrence , Meyer James , Palakurthi Harish , Sabolsky Edward M. , Sierros Konstantinos A. , Reynolds Daryl S 
Published: May 2020

Abstract
The primary objective of this work was the fabrication and testing of a wireless LC resonator based on micro-patterned electroceramic materials for the monitoring of high-temperature systems. The two-dimensional planar LC resonator sensors were designed and simulated using ANSYS Maxwell software, and these sensors were then fabricated from electrically conductive La2NiO4/Al2O3 particulate inks. The patterning and deposition of the ink were completed using a novel micro-casting process onto Al2O3 ceramic substrates, and the final pattern was bonded onto the substrate at 1200oC for 2 h. The final patterned materials were characterized using X-ray diffraction (XRD), scanning electron microscope (SEM), and four-point conductivity to characterize the phase and microstructure development, and the resultant electrical conductivity (at 500-1200oC), respectively. The frequency shift with respect to temperature was measured, which is directly related to changes in the sensor’s dielectric permittivity and pattern dimensions. The sensors were characterized at 500 – 1000oC in an ambient atmosphere with an RF signal ranging from 10 – 80 MHz at 175 kHz·s-1 sweep rate. A new robust and adaptive signal processing approach was introduced to increase the degree of freedom for analyzing the wireless sensors.
Use of Manikins to Improve Confidence of Core Surgical Trainees Performing Digital Rectal Examinations
Authors: Barker Thomas , Durst Alexander 
Published: May 2020

Abstract
Background: DRE is an important skill across a variety of medical and surgical specialties. Previous research has shown that structured teaching and practice on mannequins is of benefit when teaching the skill to medical students. The current literature does not demonstrate any research into post-graduate teaching and assessment of doctors. Methods: New core surgical trainees from within the Health Education East of England post-graduate surgical school attended a regional induction day, which included a clinical skills circuit. One station focussed on DRE, where participants were asked to complete a pre-teaching survey, they then received a brief teaching session which included simulation with manikins, and subsequently completed a post-teaching survey. Results: 48 core surgical trainees participated in the training session and completed the survey. All bar one had had formal teaching on DRE previously, however only 5 had had teaching on the subject at postgraduate level. After teaching/simulation the mean self perceived competency level rose from 6.25 to 8.92 (of 10) p<0.001. Discussion: Survey findings indicated that participants were likely to overestimate their competence at DRE, but that a brief structured teaching session including practice on manikins was effective in improving confidence. Written feedback was positive and highlighted previously poorly taught/understood aspects of a neurological DRE.
Clinical Characteristics of 538 Novel Coronavirus Disease Patients with Chronic Underlying Diseases in Wuhan, China: A retrospective Study
Authors: Yi Wanwan , Yu Xiaqing , Fan Hengwei , Zhu Hengmei , Lv Zhongwei , Fu Xiaohui , Zhang Qian 
Published: May 2020

Abstract
Background Novel severe acute respiratory syndrome coronavirus 2 causes the novel coronavirus disease (COVID-19) in humans, which has spread rapidly worldwide. Most critical cases of COVID-19 are accompanied by complicated chronic underlying diseases. This retrospective study aims to analyze the clinical characteristics of COVID-19 patients with chronic underlying diseases.Methods A total of 1,183 COVID-19 patients were divided into the chronic underlying disease (CUD, n = 538) group and the non-underlying disease (non-CUD, n = 645) group. The clinical characteristics and outcomes were collected and compared between the two groups.Results There were significant differences in age, weight, and SPO2 on admission between the CUD and non-CUP groups. The ratio of severe cases in the CUD group was higher than that in the non-CUD group (χ2 = 35.58, p-value < 0.001). The white blood cell count, neutrophil count, C-reactive protein, urea nitrogen, creatinine, myoglobin, and cardiac troponin in the CUD group were significantly higher than those in the non-CUD group, while the lymphocyte count and albumin in the underlying disease group were significantly lower than those in the non-underlying disease group. No significant difference was found in the total number of tests, the number of positive or negative results in nucleic acid tests between the two groups. The negative rate for both IgG- and IgM-antibody tests in the CUD group was higher than that in the non-CUD group (χ2 = 5.57, p-value = 0.018). No statistical difference in mortality between the CUD (n = 18) and non-CUD groups (n = 13). All surviving patients were cured and discharged. A total of 33 patients had a positive re-examination result for nucleic acid test one week after discharge, including 14 patients with underlying diseases and 19 patients without underlying diseases. Conclusion: COVID-19 patients with underlying diseases had poorer clinical conditions and had a longer hospital stay, but after active treatment, the mortality had not increased significantly.
Predicting COVID-19 Pandemic in Saudi Arabia Using Modified Singular Spectrum Analysis
Authors: Alharbi Nader 
Published: May 2020

Abstract
This research presents a modified Singular Spectrum Analysis (SSA) approach for the analysis of COVID-19 in Saudi Arabia. We have proposed this approach and developed it in [1–3] for separability and grouping step in SSA, which plays an important role for reconstruction and forecasting in the SSA. The modified SSA mainly enables us to identify the number of the interpretable components required for separability, signal extraction and noise reduction. The approach was examined using different number of simulated and real data with different structures and signal to noise ratio. In this study we examine its capability in analysing COVID-19 data. Then, we use Vector SSA for predicting new data points and the peak of this pandemic. The results shows that the approach can be used as a promising one in decomposing and forecasting the daily cases of COVID-19 in Saudi Arabia.
Forecasting the long-term trend of COVID-19 epidemic using a dynamic model
Authors: Sun Jichao , Chen Xi , Zhang Ziheng , Lai Shengzhang , Zhao Bo , Liu Hualuo , Zhao Ruihui , Ng Alexander , Zheng Yefeng 
Published: May 2020

Abstract
Background The current outbreak of coronavirus disease 2019 (COVID-19) has recently been declared as a pandemic and spread over 200 countries and territories. Forecasting the long-term trend of the COVID-19 epidemic can help health authorities determine the transmission characteristics of the virus and take appropriate prevention and control strategies beforehand. Previous studies that applied the traditional epidemic models or machine learning models were subject to underfitting or overfitting problems.Methods We propose a new model named Dynamic-Susceptible-Exposed-Infective-Quarantined (D-SEIQ), by making appropriate modifications of the Susceptible-Exposed-Infective-Recovered (SEIR) model and integrating machine learning based parameter optimization under epidemiological rational constraints. We used the model to predict the long-term reported cumulative numbers of COVID-19 cases in China from 27 January, 2020.Results We evaluated our model on officially reported confirmed cases from three different regions in China, and the results proved the effectiveness of our model in terms of simulating and predicting the trend of COVID-19 outbreak. In China-Excluding-Hubei area within 7 days after the first public report, our model successfully and accurately predicted the 40 days long trend and the exact date of turning point. The predicted cumulative number (12,506) by 10, March 2020 was only 3·8% different with the actual number (13,005). The parameters obtained by our model proved the effectiveness of prevention and intervention strategies on epidemic control in China.Conclusions The integrated approach of epidemic and machine learning models could accurately forecast the long-term trend of COVID-19 outbreak. The learned parameters suggested the effectiveness of intervention measures taken in China.
Reverse vaccinology approach towards the in-silico multiepitope vaccine development against SARS-CoV-2
Authors: Kumar Vipul , Jena Manoj 
Published: May 2020

Abstract
The novel severe acute respiratory syndrome related corona virus-2 (SARS-CoV-2) belongs to the “Coronaviridae” family and order “Nidovirales” cause coronavirus disease (COVID19). The SARS-CoV-2 has been spread in more than a hundred countries, and more than a million have lost their lives. Recently COVID-19 has been declared as pandemic worldwide. Vaccination and immunization could only be an effective strategy to combat this fatal COVID-19. For identification of the effective vaccine candidate against COVID-19, various immunoinformatics online tools and software were used to predict the epitopes. The cytotoxic T cell epitopes, Helper T cell epitopes, and B cell epitopes from three structural polyproteins ( Spike, Membrane, and Nucleocapsid (SMN) ) based on the binding affinity towards MHC , antigenicity, non-allergenicity, and non-toxicity were identified for vaccine development. The multiepitope based vaccine was constructed linking two additional adjuvants human betadefensin-3 and human beta-defensin-2 at N and C terminal, respectively. Constructed vaccine sequence was found to be a good antigen and non-allergen for the human body. The constructed vaccine was docked with the TLR-3 receptor. And the docked complex then further taken for Molecular dynamics simulations and RMSD was calculated, which showed stable binding of the complex. The codon adaptation index (CAI) of 0.92 and GC content of 55.5% for E.coli (k12) strain suggested the efficient expression of the predicted vaccine. The current study can be helpful in the reduction of time and cost for further experimental validations and could give a valuable contribution against this pandemic.
Association between symptoms and severity of disease in hospitalised novel coronavirus (COVID-19) patients: A systemic review and meta-analysis
Authors: Talukder Ashis , Razu Shaharior Rahman , Alif Sheikh , Rahman Muhammad Aziz , Islam Sheikh Mohammed Shariful 
Published: May 2020

Abstract
Background Symptoms of the novel coronavirus disease (COVD-19) are well known, although asymptomatic cases were also reported due to this rapidly evolving viral disease. However, there has been limited research with inconsistent findings on symptoms of COVID-19 and diseases severity. We aimed to evaluate the association between symptoms and severity of disease in confirmed COVID-19 cases by performing a meta-analysis.Methods We conducted a systematic review by searching four online databases (Medline, Web of Science, EMBASE and Cochrane library) of published studies that included symptoms of COVID-19 cases and severity of the disease between 01-Jan-2020 and 20-Apr-2020. PRISMA and MOOSE guidelines were followed, and only articles published in English were selected. We performed meta-analysis using Mantel-Haenszel random-effects model. Degree of heterogeneity among studies and quality of the selected studies were evaluated.Results Out of 153 articles identified, a total of seven articles, including 3,168 participants, met the inclusion criteria and were included. The median age of the patients was 49 years, 1818 (57.38%) were males, and 574 (18.11%) reported severe conditions. Fever was the most commonly reported symptom in the reported COVID-19 confirmed cases (87.89%, 95% CI: 83.22–81.39%), which was followed by cough, myalgia or fatigue, and less proportionally dyspnea and headache. Dyspnea was the only symptom, which was associated with severity of COVID-19 (OR 2.38, 95% CI: 1.83–3.10).Conclusions Dyspnoea was found to be associated with severity of COVID-19. People with existing respiratory illnesses, such as chronic obstructive pulmonary diseases need to be careful about the onset of such symptom and should seek medical attention.
Biofilms and сhronic rhinosinusitis
Authors: Shilenkova V. V. 
Published: May 2020

Introduction. A biofilm is a community of bacteria embedded in a matrix consisting of polysaccharides, nucleic acids, and proteins. Biofilms are resistant to antibiotics, antiseptics, and immune defense factors of the human body. Currently, the role of bacterial biofilms in the pathogenesis of chronic infections is known. There are a lot of articles confirming the detection of biofilms in diseases of the upper respiratory tract and ear: adenoiditis, recurrent and chronic otitis, laryngitis.Biofilms and Chronic Rhinosinusitis (CRS). Biofilms can play a significant role in prolonging inflammation in the paranasal sinuses. Biofilms are found in 76.7% of patients with CRS. This fact can serve as one of the explanations for the refractoriness of drug therapy and recurrent inflammations after surgical treatment.Methods for Controlling Biofilms. Is there a Way Out? As part of the strategy of removing biofilm, it is important to destroy its structure to planktonic forms, which will allow for the process of managing CRS progress. Antibiotic therapy alone is considered insufficient. Nasal irrigation can provide a violation of the biofilm integrity due to the mechanical destruction of its matrix and have a significant impact on the outcome of the disease. The nasal irrigation preparation containing isotonic sea water solution added with carbon dioxide (CO2-0.4%) has such an effect. In an experimental study, it was shown that 98% of the bacteria were non-viable when processing Staphylococus aureus biofilm.Conclusion. The impact on biofilms should be complex, including medication, physical means, irrigation of the nasal cavity.