bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of a Nomogram for Predicting Severity in Patients With Hemorrhagic Fever With Renal Syndrome: a Retrospective Study
Authors: Yang Zheng , Hu Qinming , Feng Zhipeng , Sun Yi 
Published: January 2021

Abstract
Background: Hemorrhagic fever with renal syndrome (HFRS) is a zoonotic disease caused by hantavirus infection. China is one of the most endemic countries of HFRS in the world. Patients with severe HFRS may develop multiple organ failure or even death, which makes HFRS a serious public health problem in China. Therefore, we constructed and verified a reliable nomogram to predict the severity in patients with HFRS and provide guidance for medical practice.Methods: In this retrospective study, we included a total of 155 consecutive patients with HFRS who were diagnosed from January 1, 2015 to December 31, 2019, of which 109 patients served as a training cohort and 46 patients as an independent verification cohort. 54 laboratory and clinical indicators were applied to assess the severity of HFRS patients. In the training set, the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables of the risk model. Multivariate logistic regression analysis was used to construct a nomogram containing the characteristic variables selected in the LASSO regression model. The nomogram's performance was evaluated by the discrimination, calibration, and clinical applicability in the training set and validation set.Results: The prediction nomogram included six predictors such as neutrophils, hemoglobin (Hb), platelets, creatinine, calcium (Ca) and dyspnea, which were screened by LASSO regression. The area under the receiver operating characteristic curve (AUC) of the nomogram in the training and validation cohorts was 0.969 (95%CI:0.935-1.000) and 0.934(95%CI: 0.847-1.000), respectively, indicating that the model has good discrimination. The calibration curve exhibited that the nomogram was in good agreement between the prediction and the actual observation. Decision curve analysis and clinical impact curve indicated that the predictive nomogram had clinical utility.Conclusion: In this study, we established a simple and feasible model to predict severity in patients with HFRS, with which HFRS will be better identified and patients can be treated early.
Whether Sutures Reduce the Graft Laceration Caused by Interference Screw in Anterior Cruciate Ligament Reconstruction a Biomechanical Study in Vitro
Authors: Teng Yuanjun , Da Lijun , Zhang Xiaohui , Wang Hong , Han Hua , Wu Meng , Zhang Shifeng , Xia Yayi 
Published: January 2021

Abstract
Background: Interference screw is commonly used for graft fixation in anterior cruciate ligament (ACL) reconstruction However, previous studies h a d reported that the insertion of interference screws significantly caused graft laceration . The purpose of this study was to determine whether sutures reduce d the graft laceration from the insertion of interference screws in ACL reconstruction. Methods: Porcine tibias and bovine extensor tendons were used for establishing a knee model of ACL reconstruction in vitro . The ends of grafts were sutured using three different sutures, including the bioabsorbable, Ethibond and ultra high molecular weight polyethylene (UHMWPE) sutures Poly ether ether ketone (PEEK) interference screw s w ere used fortibial fixation Biomechanical tests were performed to investigate the protective effects of different sutures on grafts Results : All prepared tendons and bone specimens showed similar characteristics (length, weight, and pre tension of the tendons, tibial bone mineral density) among all groups ( P 0.05). The biomechanical test s demonstrated that PEEK interference screw s significantly caused the graft laceration P 0.05). However, all sutures (the bioabsorbable, Ethibond and UHMWPE sutures) did not reduce the graft laceration in ACL reconstruction P 0.05). Conclusions : PEEK interference screw s significantly weakened the biomechanical properties of grafts during tibial fixation in ACL reconstruction. Absorbable Ethibond and UHMWPE sutures did not provide protective effects on grafts during ACL reconstruction.
Folliculin Haploinsufficiency Causes Cellular Dysfunction of Pleural Mesothelial Cells
Authors: Okamoto Shouichi , Ebana Hiroki , Kurihara Masatoshi , Mitani Keiko , Kobayashi Etsuko , Hayashi Takuo , Sekimoto Yasuhito , Nishino Koichi , Otsuji Mizuto , Kumasaka Toshio , Takahashi Kazuhisa , Seyama Kuniaki 
Published: January 2021

Abstract
Birt–Hogg–Dubé syndrome (BHDS), an autosomal dominant inheritance disease caused by folliculin (FLCN) mutations, is associated with lung cysts and spontaneous pneumothorax. The possibility of FLCN haploinsufficiency in pleural mesothelial cells (PMCs) contributing to development of pneumothorax has not yet been clarified. Electron microscopy revealed exposed intercellular boundaries between PMCs on visceral pleura and decreased electron density around the adherens junctions in BHDS. To characterize cellular function of PMCs in BHDS patients (BHDS-PMCs), during surgery for pneumothorax, we established the flow cytometry-based methods of isolating high-purity PMCs from pleural lavage fluid. BHDS-PMCs showed impaired cell attachment and a significant decrease in proliferation and migration, but a significant increase in apoptosis compared with PMCs from primary spontaneous pneumothorax (PSP) patients (PSP-PMCs). Microarray analysis using isolated PMCs revealed a significant alteration in the expression of genes belonging to Gene Ontology terms “cell-cell adhesion junction” and “cell adhesion molecule binding”. Gene set enrichment analysis demonstrated that CDH1, encoding E-cadherin, was identified in the down-regulated leading edge of a plot in BHDS-PMCs. AMPK and LKB1 activation were significantly impaired in BHDS-PMCs compared with PSP-PMCs. Our findings indicate that FLCN haploinsufficiency may affect the E-cadherin-LKB1-AMPK axis and lead to abnormal cellular function in BHDS-PMCs.
Three Logistic Predictive Models for the Prediction of Mortality and Major Pulmonary Complications after Cardiac Surgery
Authors: Bignami Elena , Guarnieri Marcello , Giambuzzi Ilaria , Trumello Cinzia , Saglietti Francesco , Gianni Stefano , Belluschi Igor , Tomasso Nora Di , Corti Daniele , Alfieri Ottavio , Gemma Marco 
Published: January 2021

Abstract
BackgroundPulmonary complications after cardiac surgery are a leading cause of morbidity and mortality. The aim of this study was to develop predictive models for postoperative lung dysfunction and mortality.MethodsThis was a single-center, observational, retrospective study, which took place in a tertiary care University Hospital. We retrospectively analyzed data regarding 11285 adult patients who underwent all types of cardiac surgery from 2003 to 2015. We developed logistic predictive models for in-hospital mortality, for postoperative pulmonary complications (PPC) occurring in the intensive care unit (ICU), and the need for postoperative non-invasive mechanical ventilation (NIMV) when clinically indicated.ResultsAge, preoperative ejection fraction, New York Heart Association (NYHA) class, emergency surgery, pharmacological and mechanical circulatory support, creatinine peak in the ICU, tracheostomy, and a lower PaO2/FiO2 ratio at ICU discharge were predictors of mortality. Age, ejection fraction, body mass index, creatinine peak in the ICU, blood-product use, inotropic support, and a lower PaO2/FiO2 ratio were predictors of postoperative NIMV. Preoperative lung disease, ejection fraction, NYHA class, inotropic and mechanical support, and preoperative serum creatinine were predictors of PPC.ConclusionsWe provide three models for the prediction of major pulmonary complications and mortality following cardiac surgery.
Image Bio-Markers and Gene Expression Data Correlation Framework for Lung Cancer Radio-Genomics Analysis Based on Deep Learning
Authors: Sui Dong , Guo Maozu , Ma Xiaoxuan , Baptiste Julian , Zhang Lei 
Published: January 2021

Abstract
Background: Precision medicine, a popular treatment strategy, has become increasingly important to the development of targeted therapy. To correlate medical imaging with prognostic and genomic data, researches in radiomics and radiogenomics have provide many pre-de_ned image features to describe image information quantitatively or qualitatively. However, in previous researches, there are only statistical results which proves high correlation among multi-source medical data, but those can't give intuitive and visual result. Results: In this paper, a deep learning based radio-genomics framework is provided to construct the linkage from lung tumor images to genomics data and implement generation process in turn, which form a bi-direction framework to map multi-source medical data. The imaging features are extracted from auto-encoder under the condition of genomics data. It can obtain much more relevant features than traditional radio-genomics methods. Finally, we use generative adversarial network to transform genomics data onto tumor images, which gives a cogent result to explain the linkage between them. Conclusions: Our proposed framework provides a deep learning method to do radio-genomics researches more functionally and intuitively.
A Rich Gallery of Carbon Dots based Photoluminescent Suspensions and Powders Derived by Citric acid/urea
Authors: Kelarakis Antonios , Krysmann Marta , Stachowska Joanna , Murphy Andrew , Mellor Claire , Gibbons Ella , Fernandes Diogo , Burgaz Engin , Yeates Stephen , Moore Joshua 
Published: January 2021

Abstract
In this study we demonstrate simple guidelines to generate a diverse range of fluorescent materials in both liquid and solid state by focusing on the most popular C-dots precursors, i.e. the binary systems of citric acid and urea. The pyrolytic treatment of those precursors combined with standard size separation techniques (dialysis and filtration), leads to four distinct families of photoluminescent materials in which the emissive signal predominantly arises from C-dots with embedded fluorophores, cyanuric acid-rich C-dots, a blend of molecular fluorophores and a mixture of C-dots with unbound molecular fluorophores, respectively. Within each one of those families the chemical composition and the optical properties of their members can be fine-tuned by adjusting the molar ratio of the reactants. Apart from generating a variety of aqueous dispersions, our approach leads to highly fluorescent powders derived from precursors comprising excessive amounts of urea that is consumed for the build-up of the carbogenic cores, the molecular fluorophores and the solid diluent matrix that suppresses self-quenching effects.
Design, Synthesis, Molecular Docking, and Kinetic Study of 3-Amino-2,4-Diarylbenzo[4,5]Imidazo[1,2-a]Pyrimidines as Novel, Potent Α-Glucosidase Inhibitor
Authors: Peytam Fariba , Takalloobanafshi Ghazaleh , Saadattalab Toktam , Emamgholipour Zahra , Norouzbahari Maryam , Moghimi Setareh , Firoozpour Loghman , Bijanzadeh Hamid Reza , Faramarzi Mohammad Ali , Mojtabavi Somayeh , Rashidi-Ranjbar Parviz , Foroumadi Alireza 
Published: January 2021

Abstract
In an attempt to find novel, potent α-glucosidase inhibitors, a library of poly-substituted 3-amino-2,4-diarylbenzo[4,5]imidazo[1,2-a]pyrimidines 3a-ag have been synthesized through heating a mixture of 2-aminobenzimidazoles 1 and α-azidochalcone 2 under the mild conditions. This efficient, facile protocol has been resulted into the desirable compounds with a wide substrate scope in good to excellent yields. Afterwards, their α-glucosidase inhibitory activities were investigated. Showing IC50 values ranging from 16.4 ± 0.36 µM to 297.0 ± 1.2 µM confirmed their excellent potency to inhibit α-glucosidase which may provide new drug candidates in the treatment of type II diabetes mellitus. Among various synthesized 3-amino-2,4-diarylbenzo[4,5]imidazo[1,2-a]pyrimidines, compound 3k exhibited the highest potency against α-glucosidase (IC50 = 16.4 ± 0.36 μM) which was 45.7 times more potent than acarbose as standard inhibitor (IC50 = 750.0 ± 1.5 μM). Moreover, the role of amine moiety on the observed activity was studied through substituting with chlorine and hydrogen resulted into a considerable deterioration on the inhibitory activity. Kinetic study and molecular docking study have confirmed the in-vitro results.
Response to Perturbation During Quiet Standing Matches Delayed State Feedback With Precisely Tuned Control Gains
Authors: Zelei Ambrus , Milton John , Stepan Gabor , Insperger Tamas 
Published: January 2021

Abstract
Postural sway is a result of a complex action-reaction feedback mechanism generated by the interplay between the environment, the sensory perception, the neural system and the musculation. Postural oscillations are complex, possibly even chaotic. Therefore fitting deterministic models on measured time signals is ambiguous. Here we analyse the response to large enough perturbations during quiet standing such that the resulting responses can clearly be distinguished from the local postural sway. Measurements show that typical responses very closely resemble those of a critically damped oscillator. The recovery dynamics is modelled by an inverted pendulum subject to delayed state feedback and is described in the space of the control parameters. We hypothesize that the control gains are tuned such that (H1) the response is at the border of oscillatory and nonoscillatory motion; (H2) the response is the fastest possible; (H3) the response is a result of a combined optimization of fast response and robustness to sensory perturbations. Parameter fitting shows that H1 and H3 are accepted while H2 is rejected. Thus, the responses of human postural balance to “large” perturbations matches a delayed feedback mechanism that is optimized for a combination of performance and robustness.
Response of Sclerotinia Sclerotiorum to Long Exposure of Isothiocyanates by Transcriptomics Approach
Authors: Madloo Pari , Lema Margarita , Cartea Maria Elena , Soengas Pilar 
Published: January 2021

Abstract
White mold disease, caused by the necrotrophic fungus Sclerotinia sclerotiorum affects Brassica crops. Brassica crops produce a broad array of compounds such as glucosinolates that contribute to defense against pathogens. From their hydrolysis arise several products with antimicrobial activity called isothiocyanates (ITCs) which toxicity is structure-dependent. It is recognized that S. sclerotiorum is able to overcome the toxic effect of moderate concentrations of ITCs after a prolonged exposure to their action. Our objective was to identify the molecular mechanism underlying response of S. sclerotiorum to long exposure of two chemically diverse ITCs: the aliphatic allyl-ITC (AITC) and the indolic indol-3-carbinol (I3C). We found, with a transcriptomic approach, that the response is dependent of the type of ITC and to their initial target, involving cell membranes in the case of AITC or DNA in the case of I3C. Mechanisms of response include the reorganization of chromatin, mediated by histones chaperones hip4 and cia1, synthesis of ribosomes controlled by the pair kinase-phosphatase aps1-ppn1, catabolism of proteins, synthesis of ergosterol and induction of efflux-pumpers and glutathione transferases. These mechanisms probably help S. sclerotiorum to grow and survive in an environment where ITCs are constantly produced by Brassica plants upon breakdown of glucosinolates.
Bio-convective and Chemically Reactive Hybrid Nanofluid Flow Upon a Thin Stirring Needle with Viscous Dissipation
Authors: Khan Arshad , Saeed Anwar , Tassaddiq Asifa , Gul Taza 
Published: January 2021

Abstract
In this work the thermal analysis for bio-convective hybrid nanofluid flowing upon a thin horizontally moving needle is carried out. The chemical reaction and viscous dissipation has also considered for flow system in the presence of microorganism. The hybrid nanoparticles comprising of Copper (Cu) and Alumina (Al2O3) are considered for current flow problem. Mathematically the flow problem is formulated by employing the famous Buongiorno’s model that will also investigate the consequences of thermophoretic forces and Brownian motion upon flow system. Group of similar variables is used to transform the model equations into dimensionless form and have then solved analytically by homotopy analysis method (HAM). It has established in this work that, flow of fluid declines due to increase in bioconvection Rayleigh number, buoyancy ratio and volume fractions of nanoparticles. Thermal flow grows due to rise in Eckert number, Brownian, thermophoresis parameters and volume fraction of nanoparticles. Concentration profiles increase due to growth in Brownian motion parameter and reduces due to increase in thermophoresis parameter and Lewis number. Motile microorganism profile declines due to augmentation in Peclet and bioconvection Lewis numbers. Moreover, the percentage enhancement in the drag force and rate of heat transfer using nanofluid and hybrid nanofluids are observed and discussed. The hybrid nanofluid increases the skin friction and heat transfer rate more rapidly and efficiently as compared to other traditional fluids. A comparison of the present study with the existing literature is also conducted with a closed agreement between both results for variations in thickness of the needle.
A Lipid Metabolism-Related Genes Prognosis Biomarker Associated With The Tumor Immune Microenvironment in Colorectal Carcinoma
Authors: YANG Chao , Huang Shuoyang , ZHENG Yongbin , CAO Fengyu 
Published: January 2021

Abstract
Background: Lipid metabolic reprogramming was considered as a new hallmark of malignant tumors. It has been reported to play a crucial biological role in cell proliferation, energy homeostasis and signal-transduction. However, the important value of lipid metabolism-related genes(LMRGs) in prognostic prediction and the tumor immune microenvironment has not been explored by large sample studies in colorectal cancer(CRC). Methods: In this study, the lipid metabolism status of 1086 CRC samples was analyzed using RNA expression profiles and clinical data from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, of which the former was determined as training set and the latter as validation set. The risk signature was constructed by the univariate Cox regression and Least Absolute Shrinkage and Selection Operator(LASSO) COX regression. The patients were stratified into high- and low-risk groups according to the median value of the risk score. Immune and mutation landscape between low- and high-risk CRC patients were also explored. Additionally, we established a nomogram integrating the risk signature and clinical factors to improve risk assessment of CRC patients. Results: A four LMRGs signature, including PROCA1, CCKBR, CPT2 and FDFT1, was constructed to predict the prognosis of CRC. The risk signature as an independent prognostic factor for CRC was associated with a variety of parameters. Survival analysis showed that patients with low risk score had a better prognosis. There were different immune landscapes between low and high-risk CRC patients, especially in monocytes, dendritic cells, M0 and M2-like macrophages. Patients in the low-risk group were more likely to have higher tumor mutation burden, stem cell characteristics and level of PD-L1 expression. In addition, it was found that genes that played crucial biological functions in tumorigenesis (including TP53, PI3K and MUC16) had significant differences in mutation frequency between two groups. Conclusion: A lipid metabolism-related risk signature for predicting the prognosis of CRC was identified in this study. Furthermore, this prognostic signature may be a potential biomarker for predicting the efficacy of chemotherapy and anti-PD-L1 therapy in CRC.
CD4/CD8 Ratio of Pleural Effusion Is A Prognostic Predictor for Non-Small Cell Lung Cancer Patients Under Immune Checkpoint Inhibitor Treatments
Authors: Lee Po-Hsin , Yang Tsung-Ying , Chen Kun-Chieh , Huang Yen-Hsiang , Tseng Jeng-Sen , Hsu Kuo-Hsuan , Wu Yu-Chen , Liu Ko-Jiunn , Chang Gee-Chen 
Published: January 2021

Abstract
Pleural effusion is a rare immune-related adverse event for lung cancer patients receiving immune checkpoint inhibitors (ICIs). We enrolled 281 lung cancer patients treated with ICIs and 17 were analyzed. We categorized the formation of pleural effusion into 3 patterns: type 1, rapid and massive; type 2, slow and indolent and type 3, with disease progression. CD4/CD8 ratio of 1.93 was selected as the cutoff threshold to predict survival. Most patients of types 1 and 2 effusions possessed pleural effusion with CD4/CD8 ratios > = 1.93. The median OS time in type 1, 2, and 3 patients were not reached, 24.8, and 2.6 months. The median PFS time in type 1, 2, and 3 patients were 35.5, 30.2, and 1.4 months. The median OS for the group with pleural effusion CD4/CD8 > = 1.93 and < 1.93 were not reached and 2.6 months. The median PFS of those with pleural effusion CD4/CD8 > = 1.93 and < 1.93 were 18.4 and 1.2 months. In conclusion, patients with type 1 and 2 effusion patterns had better survival than those with type 3. Type 1 might be interpreted as pseudoprogression of malignant pleural effusion. CD4/CD8 ratio > = 1.93 in pleural effusion is a good predicting factor for PFS.
Vestibular Rehabilitation to the Patients With Vestibular Migraine and Vestibular Neuritis
Authors: Goto Fumiyuki , Sugaya Nagisa , Okami Kenji , Iida Masahiro 
Published: January 2021

Abstract
BackgroundIt is not yet clarified the effect of vestibular rehabilitation on patients with vestibular migraine (VM) .Aims/Objectives In this study, we aimed to compare the effect of vestibular rehabilitation on patients with VM and those in the chronic stage of vestibular neuritis (VN). Material and Methods A total of 26 patients with VM and 31 patients in the chronic stage of VN who were treated. All patients underwent an in-hospitalized vestibular rehabilitation program. A variety of data including the Dizziness Handicap Inventory (DHI), POMS, and posturography were compared. ResultsBefore treatment, there was no significant difference in the parameters between the two groups, except for a higher confusion score of Profile of Mood States (POMS) in the VM group. In both groups, the DHI score significantly improved. In the VM group, the confusion score of POMS, physical component score (PCS) of SF-8, and some parameters in posturography significantly improved. In the VN group, anxiety, depression, and PCS of SF-8 significantly improved.Conclusions and Significance The higher confusion score of POMS in patients with VM reflects the known increased comorbidity risk of psychiatric disorders. In both groups, in-hospitalized vestibular rehabilitation was effective in alleviating the subjective and objective parameters of vestibular symptoms within a month.