Miracle-dz/UniFAR-FTUs huggingface dataset:
Extensive Recontouring of the Femoral Head with Osteochondral Allografting: A Case Report with Histological and MicroCT Analysis

Morphological abnormalities such as cam deformity or growth disturbances can have a detrimental effect on the smooth function of the hip joint. This case reports an attempt to salvage the hip joint of a young patient with a posttraumatic growth disturbance of the femoral head using a fresh osteochondral allograft. This treatment has been used very rarely in the femoral head due to the presumed tenuous blood supply of the head and the perceived risk of nonunion or progressive avascular necrosis. The patient in this case had persistent pain and mechanical symptoms leading to hip replacement. A detailed analysis of the retrieved femoral head demonstrated durability and healing of the grafts based on gross inspection, histology of bone and cartilage, and microCT analysis. This case is the first report to our knowledge of a detailed histological and radiographic analysis of the fate of osteochondral allografts of the femoral head. We hope that this case provides justification for the use of osteochondral allografts of the femoral head for other indications such as femoral head fractures, avascular necrosis, and benign epiphyseal tumors of the femoral head in an effort to avoid arthroplasty in young patients. The authors have obtained the patient's informed written consent for print and electronic publication of the case report.
Meta-Analysis of the Effects of Cardiac Rehabilitation on Exercise Tolerance and Cardiac Function in Heart Failure Patients Undergoing Cardiac Resynchronization Therapy

Objective To evaluate the effects of cardiac rehabilitation on exercise tolerance and cardiac function in heart failure patients undergoing cardiac resynchronization therapy (CRT). Methods Randomized controlled trials were initially identified from systematic reviews of the literature about cardiac rehabilitation and heart failure patients with CRT. We undertook updated literature searches of the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, EMBASE, CBM, CNKI, and Wanfang databases until July 1, 2017. STATA12.0 software was used. Results Four randomized controlled studies were included. The total sample size was 157 patients, including 77 in the control group. Cardiac rehabilitation treatment affected the peak VO2 in heart failure patients with CRT (Pheterogeneity=0.491, I2 = 0%). The results lacked heterogeneity, and the data were merged in a fixed-effects model (WMD = 2.17 ml/kg/min, 95% CI (1.42, 2.92), P < 0.001). The peak VO2 was significantly higher in the cardiac rehabilitation group than in the control group. The sensitivity analysis showed that the results of the meta-analysis were robust. Cardiac rehabilitation treatment affected LVEF in heart failure patients with CRT (Pheterogeneity=0.064, I2 = 63.6%); the heterogeneity among the various research results meant that the data were merged in a random-effects model (WMD = 4.75%, 95% CI (1.53, 7.97), P=0.004). The LVEF was significantly higher in the cardiac rehabilitation group than in the control group. The sources of heterogeneity were analyzed, and it was found that one of the studies was the source of significant heterogeneity. After the elimination of that study, the data were reanalyzed, and the heterogeneity was significantly reduced. There were still significant differences in the WMD and 95% CI. Conclusion Cardiac rehabilitation can improve exercise tolerance and cardiac function in heart failure patients with CRT. Future studies are needed to evaluate whether these beneficial effects of cardiac rehabilitation may translate into an improvement in long-term clinical outcomes among these patients.
Cutaneous Leishmaniasis: The Complexity of Host's Effective Immune Response against a Polymorphic Parasitic Disease

This review is aimed at providing a comprehensive outline of the immune response displayed against cutaneous leishmaniasis (CL), the more common zoonotic infection caused by protozoan parasites of the genus Leishmania. Although of polymorphic clinical presentation, classically CL is characterized by leishmaniotic lesions on the face and extremities of the patients, which can be ulcerative, and even after healing can lead to permanent injuries and disfigurement, affecting significantly their psychological, social, and economic well-being. According a report released by the World Health Organization, the disability-adjusted life years (DALYs) lost due to leishmaniasis are close to 2.4 million, annually there are 1.0–1.5 million new cases of CL, and a numerous population is at risk in the endemic areas. Despite its increasing worldwide incidence, it is one of the so-called neglected tropical diseases. Furthermore, this review provides an overview of the existing knowledge of the host innate and acquired immune response to cutaneous species of Leishmania. The use of animal models and of in vitro studies has improved the understanding of parasite-host interplay and the complexity of immune mechanisms involved. The importance of diagnosis accuracy associated with effective patient management in CL reduction is highlighted. However, the multiple factors involved in CL epizoology associated with the unavailability of vaccines or drugs to prevent infection make difficult to formulate an effective strategy for CL control.
A Circulating miRNA-Based Scoring System Established by WGCNA to Predict Colon Cancer

Introduction Circulation microRNAs (miRNAs) perform as potential diagnostic biomarkers of many kinds of cancers. This study is aimed at identifying circulation miRNAs as diagnostic biomarkers in colon cancer. Methods We conducted a weighted gene coexpression network analysis (WGCNA) in miRNAs to find out the expression pattern among circulation miRNAs by using a “WGCNA” package in R. Correlation analysis was performed to find cancer-related modules. Differentially expressed miRNAs (DEmiRs) in colon cancer were identified by a “limma” package in R. Hub gene analysis was conducted for these DEmiRs in the cancer-related modules by the “closeness” method in cytoscape software. Then, logistic regression was performed to identify the independent risk factors, and a scoring system was constructed based on these independent risk factors. Then, we use data from the GEO database to confirm the reliability of this scoring system. Results A total of 9 independent coexpression modules were constructed based on the expression levels of 848 miRNAs by WGCNA. After correlation analysis, green (cor = 0.77, p = 3 × 10‐25) and yellow (cor = 0.65, p = 6 × 10‐16) modules were strongly correlated with cancer development. 20 hub genes were found after hub gene analysis in these DEmiRs by cytoscape. Among all these hub genes, hsa-miR-23a-3p (OR = 2.6391, p = 6.23 × 10‐5) and hsa-miR-663a (OR = 1.4220, p = 0.0069) were identified as an independent risk factor of colon cancer by multivariate regression. Furthermore, a scoring system was built to predict the probability of colon cancer based on both of these miRNAs, the area under the curve (AUC) of which was 0.828. Data from GSE106817 and GSE112264 was used to confirm this scoring system. And the AUC of them was 0.980 and 0.917, respectively. Conclusion We built a scoring system based on circulation hub miRNAs found by WGCNA to predict the development of colon cancer.
Prognostic Factors and Nomograms to Predict Overall and Cancer-Specific Survival for Children with Wilms' Tumor

Objective This study is aimed at constructing and verifying nomograms that forecast overall survival (OS) and cancer-specific survival (CSS) of children with Wilms' tumor (WT). Patients and methods Clinical information of 1613 WT patients who were under 18 years old between 1988 and 2010 was collected from the Surveillance, Epidemiology, and End Results (SEER) database. Using these data, we performed univariate as well as multivariate Cox's regression analyses to determine independent prognostic factors for WT. Then, nomograms to predict 3- and 5-year OS and CSS rates were constructed based on the identified prognostic factors. The nomograms were validated externally and internally. The nomograms' reliability was evaluated utilizing receiver operating characteristic (ROC) curves and concordance indices (C-indices). Results 1613 WT patients under 18 were involved in the study and randomly divided into the training (n = 1210) and validation (n = 403) cohorts. Age at diagnosis, tumor laterality, tumor size, tumor stage, and use of surgery were determined as independent prognostic factors for OS and CSS in WT and were further applied to construct prognostic nomograms. The C-index and area under the receiver operating characteristic curve (AUC) revealed the great performance of our nomograms. Internal and external calibration plots also showed excellent agreement between actual survival and nomogram prediction. Conclusion Precise and convenient nomograms were developed for forecasting OS and CSS of children with WT. These nomograms were able to offer accurate and individualized prognosis and assisted clinicians in performing suitable therapy.
Dopamine in the Pathophysiology of Preeclampsia and Gestational Hypertension: Monoamine Oxidase (MAO) and Catechol-O-methyl Transferase (COMT) as Possible Mechanisms

Purpose of the Review Hypertension in pregnancy is the global health burden. Amongst the hypertensive disorders of pregnancy, preeclampsia and gestational hypertension are the world's leading disorders that lead to both maternal and fetal morbidity and mortality. Recent Findings Dopamine inactive metabolites, namely, monoamine oxidase (MAO) and catechol-O-methyl transferase (COMT), have been reported to be associated with hypertensive disorders of pregnancy such preeclampsia and gestational hypertension. Summary This review discusses the involvement of MAO and COMT in the pathophysiology of both conditions in order to have a better understanding on the pathogenesis of both conditions, suggesting promising therapeutic interventions and subsequently reducing maternal and fetal morbidity and mortality.
Application of Hybrid Extracorporeal Membrane Oxygenation for the Treatment of Subsequent Shock following Acute Respiratory Distress Syndrome Developing after Firearm Injury

The use of extracorporeal membrane oxygenation (ECMO) in acute respiratory distress syndrome (ARDS) and cardio-circulatory shock has been widely accepted. In recent years, a variety of novel and exceptional indications for ECMO have been proposed; however, experience with ECMO use in the presence of multiple penetrating injuries is limited. In this report, we present successful ECMO application in a patient with multiple firearm injuries. Veno-venous ECMO was applied for ARDS and converted to the venoarterial mode when the patient developed septic cardiomyopathy. The clinical status of the patient gradually improved, and the patient was discharged from the hospital after 24 days, successfully.
Spatiotemporal Analysis of Influenza Morbidity and Its Association with Climatic and Housing Conditions in Ecuador

The external environment directly influences human health. However, what happens inside? This work deals with the effect that the interior thermal variables have on the propagation of respiratory diseases and focused on the relation of the temperature and relative humidity inside social housing in the 1040 parishes of Ecuador and the transmission of influenza. On the one hand, historical weather-related variables were used to simulate and estimate the interior conditions, and thresholds on temperature and humidity were determined. On the other hand, the health-related variable was determined by analyzing the statistics corresponding to the influenza and viral pneumonia in 2009 since that year was critical for these diseases; the data were divided by month for each parish. Finally, the correlation of these variables determines the relative importance of the interior conditions on the respiratory health of its inhabitants. The preliminary results indicate that the places with the lowest temperatures and relative humidity could favor the virus transmission. Also, the analysis indicated that respiratory diseases increase in August and October. In this way, it is clear that social housing projects in Ecuador require a study which guarantees not only energy efficiency and sustainability related issues but also the well-being of their inhabitants.
The Role of Antioxidant Activity of Chitosan-Pinus merkusii Extract Nanoparticle in against Lead Acetate-Induced Toxicity in Rat Pancreas

Lead is one of the heavy metals with oxidative stress that causes toxicity in human and animals. The aim of this study was to evaluate the antioxidant activity of Chitosan-Pinus merkusii extract nanoparticle on lead acetate-induced toxicity in rat pancreas. Chitosan-Pinus merkusii nanoparticles were identified by Particle Size Analysis (PSA) and Scanning Electron Microscope (SEM). The male rats used were divided into a control group (treated with distilled water), lead acetate group (injected with lead acetate at 20 mg/kg BW i.p), and the treatment group (treated orally with Chitosan-Pinus merkusii nanoparticle at 150 mg; 300 mg; 600 mg/kg BW and injected with lead acetate at 20 mg/kg BW i.p). Blood samples were taken to measure glucose and insulin level. The pancreas tissues were also collected to evaluate the malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx), and histological evaluations of cell damage. The PSA showed that the size of Chitosan-Pinus merkusii nanoparticle was 530.2 ± 38.27 nm. The SEM images revealed an irregular shape, and the morphology showed a rough surface. Administration of lead acetate resulted in a significant increase in glucose and MDA levels as well as a decrease in the level of insulin, SOD and GPx when compared with the control group, while that of 600 mg/kg BW of Chitosan-Pinus merkusii nanoparticle gave a polar result. The lead acetate induced loss of pancreatic cells normal structure and necrosis, while Chitosan-Pinus merkusii nanoparticle inhibited it. It could be concluded that Chitosan-Pinus merkusii nanoparticle has a potential to be a powerful agent and may be useful as an antioxidant against free radical-induced oxidative stress and pancreatic cell damage mediated by lead acetate intoxication.
PPAR γ/Nnat/NF-κB Axis Involved in Promoting Effects of Adiponectin on Preadipocyte Differentiation

A previous study has demonstrated that adiponectin (APN) could promote preadipocyte differentiation, and the present study further explored its mechanism. 3T3-L1 cells were infected with adenovirus holding human adiponectin gene apM1 and mouse neuronatin (Nnat) shRNA and initiated differentiation while coculturing with mature adipocytes stimulated with LPS. After 8 days, preadipocyte differentiation was observed by Oil Red O staining. Real-time quantitative PCR was used to evaluate mRNA expression levels of monocyte chemoattractant protein-1 (MCP-1), interleukin- (IL-) 6, IL-8, and tumor necrosis factor α (TNF-α). The levels of reactive oxygen species (ROS), total antioxidant capacity (T-AOC), malondialdehyde (MDA), and superoxide dismutase (SOD) in 3T3-L1 cells were detected. Western blotting was done to quantify the protein expression levels of Nnat, peroxisome proliferator-activated receptor (PPAR) γ, p65, and inhibitor of nuclear factor κB (IκB) α. Results demonstrated that APN overexpression markedly increased preadipocyte differentiation; inhibited gene expression of MCP-1, IL-6, IL-8, and TNF-α; reduced ROS and MDA release; increased T-AOC and SOD levels; upregulated Nnat, PPAR γ, and IκB α protein expressions; and downregulated p65 protein expression under LPS stimulation. However, the effects of APN were markedly attenuated when Nnat expression was knocked down. Taken together, the present study provided evidences that the effects of APN on promoting preadipocyte differentiation under inflammatory conditions via anti-inflammation and antioxidative stress may be regulated by the PPAR γ/Nnat/NF-κB signaling pathway.
Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease

Lung segmentation in high-resolution computed tomography (HRCT) images is necessary before the computer-aided diagnosis (CAD) of interstitial lung disease (ILD). Traditional methods are less intelligent and have lower accuracy of segmentation. This paper develops a novel automatic segmentation model using radiomics with a combination of hand-crafted features and deep features. The study uses ILD Database-MedGIFT from 128 patients with 108 annotated image series and selects 1946 regions of interest (ROI) of lung tissue patterns for training and testing. First, images are denoised by Wiener filter. Then, segmentation is performed by fusion of features that are extracted from the gray-level co-occurrence matrix (GLCM) which is a classic texture analysis method and U-Net which is a standard convolutional neural network (CNN). The final experiment result for segmentation in terms of dice similarity coefficient (DSC) is 89.42%, which is comparable to the state-of-the-art methods. The training performance shows the effectiveness for a combination of texture and deep radiomics features in lung segmentation.
Analysis of the Relationship between Type II Diabetes Mellitus and Parkinson's Disease: A Systematic Review

In the early sixties, a discussion started regarding the association between Parkinson's disease (PD) and type II diabetes mellitus (T2DM). Today, this potential relationship is still a matter of debate. This review aims to analyze both diseases concerning causal relationships and treatments. A total of 104 articles were found, and studies on animal and “in vitro” models showed that T2DM causes neurological alterations that may be associated with PD, such as deregulation of the dopaminergic system, a decrease in the expression of peroxisome proliferator-activated receptor-gamma coactivator-1α (PGC-1α), an increase in the expression of phosphoprotein enriched in diabetes/phosphoprotein enriched in astrocytes 15 (PED/PEA-15), and neuroinflammation, as well as acceleration of the formation of alpha-synuclein amyloid fibrils. In addition, clinical studies described that Parkinson's symptoms were notably worse after the onset of T2DM, and seven deregulated genes were identified in the DNA of T2DM and PD patients. Regarding treatment, the action of antidiabetic drugs, especially incretin mimetic agents, seems to confer certain degree of neuroprotection to PD patients. In conclusion, the available evidence on the interaction between T2DM and PD justifies more robust clinical trials exploring this interaction especially the clinical management of patients with both conditions.
Studies on ionic mechanisms of the effects of isoproterenol on Brugada syndrome

Objective It has been reported that Adrenergic beta stimulation attenuated ST-elevation and ventricular arrhythmia and electrical storm was suppressed by treatment with low-dose isoproterenol (Iso) in some cases of Brugada syndrome. However, there have been few systematic studies on ionic mechanisms of the effects of isoproterenol. Methods Single epicardial myocytes of right ventricle of the rabbits were isolated with enzymatic dissociation. The whole-cell patch clamp recording technique was used to observe the effect of 1μM Iso on action potential duration APD), type calcium current (Ica, L) and transient outward potassium current (Ito) in epicardial myocytes of right ventricle of the rabbits. Results (1) Iso significantly prolonged APD20, D50 and APD90 from (151.3±11.8)ms, 68.7±27.3) ms and (380.9±34.6) ms to (195.4±13.3) ms, (324.5±32.8) ms and (423.5±42.1) ms (n=14, p<0.05), respectively. (2) At +60 mV, Ito decreased from (11.4±1.7) pA/pF to (6.3±0.5) pA/pF (n=16, p<0.05) after 1 μM Iso. 1 μM Iso downshifted the I-V curves of Ito without changes of their active, peak and reverse potentials; 1 μM Iso turned the steady-state inactivation curve to left and the curve of time recovery from inactivation of Ito moved right. V1/2,act and kact of Ito had no significant difference before and after 1 μM Iso. (3) 1 μM Iso increased peak ICa, L from (−6.1±0.6) pA/pF to (−8.6±0.9) pA/pF (n=10, p<0.05), respectively. 1 μM Iso downshifted the I-V curves of ICa without changes of their active, peak and reverse potentials. Conclusions Iso could prolong APD, especially APD20 and APD50; Iso blocked Ito in a voltage dependent manner and probably inhibited Ito in its inactive state; Iso augmented ICa, L in a voltage dependent manner, which could be an important mechanism to suppress ventricular arrhythmia and electrical storm of Brugada syndrome.
Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model

In this paper, we have described our deep learning based system for ﬁne-grained insincere questions classiﬁcation, which is the CIQ track in FIRE 2019. Our pipeline uses ensembles of bidirectional LSTM-GRU model with diﬀerent word embedding techniques namely Glove, FastText, and Paragram. We have also used the checkpoint ensemble method to enhance performance alongside a combination of two diﬀerent embeddings per-ensemble. Our pipeline has secured the ﬁrst position in this track with an F1 score of 67.32%.
Derive Word Embeddings From Knowledge Graph

Representation and embedding learning is a popular field in recent NLP researches. Word embedding maps words to high dimensional vectors while preserving their syntactic and semantic relations. Popular embedding methods like Word2vec[17] and Glove[7] focus on matrix factorization perspective while contextual word embedding methods like ELMo[11] and BERT[6] focus on deep methods exploiting word variance in different contexts. All of those methods take advantages of a large corpus, which provides abundant language usage to learn embeddings from. One main disadvantage of learned embeddings is that they usually fail to differentiate real entities. For example, shoe and jean have very similar embeddings as they often appear in similar contexts while they actually refer to different entities.
NLP-based Automatic Answer Script Evaluation

The answer script evaluation is an important part of assessing students’ performance. Typically, an answer script evaluation is done manually that sometimes can be biased. The evaluation depends on various factors like mood swing of the evaluator, the inter-relation between the student and evaluator. Additionally, evaluation is a very tedious and time-consuming task. In this paper, a natural language processing-based method is shown for automatic answer script evaluation. Our experiment consists of text extraction from answer script, measuring various similarities between summarized extracted text and stored correct answers, and then assign a weight value to each calculated parameters to score the answer script. For summary generation from the extracted text, we have used keyword-based summarization techniques. Here four similarity measures (Cosine, Jaccard, Bigram, and Synonym) are used as parameters for generating the final mark. Automatic evaluation of answer scripts has been found very useful from our experiments, and often the assigned marks is the same as manually scored marks.