Miracle-dz/UniFAR-FTUs huggingface dataset:
Lentivirus-mediated overexpression of HSDL2 suppresses cell proliferation and induces apoptosis in cholangiocarcinoma

Background Cholangiocarcinoma (CCA) is a malignant tumor of the bile duct epithelium, including intrahepatic, perihilar, and distal CCA based on anatomical location. Hydroxysteroid dehydrogenase-like 2 (HSDL2) belongs to the SDR subfamily of oxidoreductases, and it is involved in glioma oncogenesis, as it can promote cell proliferation and inhibit cell apoptosis. The purpose of this study was to explore the underlying molecular mechanisms of HSDL2 in the process of CCA. Methods HSDL2 expression levels were observed in CCA and adjacent (normal control) tissues by analyzing data from The Cancer Genome Atlas and Gene Expression Omnibus databases. A receiver operating characteristic curve analysis was carried out. In vitro, we overexpressed HSDL2 in RBE cells (a human CCA cell line) using a stable lentivirus-mediated transduction strategy. We then used quantitative real-time-PCR and Western blotting methods to detect the efficiency of HSDL2 overexpression. Cell proliferation was assessed using a Celigo Image Cytometer, MTT assays, and the expression of PCNA. Cell apoptosis was assessed by flow cytometry analysis, caspase3/7 activity, and the expression of the apoptotic markers BCL-2 and BAX. Results We observed a downregulation of HSDL2 in CCA tissues based on The Cancer Genome Atlas and Gene Expression Omnibus data analysis. The receiver operating characteristic curve analysis showed that HSDL2 could be an excellent efficacy biomarker for CCA. In vitro, HSDL2 overexpression largely suppressed the proliferation of RBE cells. In addition, apoptosis was induced by HSDL2 overexpression. Conclusion The results of the data analysis indicated that, compared with adjacent tissues, HSDL2 was downregulated in CCA tissues, and overexpressing HSDL2 in CCA cells suppressed growth and proliferation, which involved activating apoptosis. This helps to understand the underlying HSDL2-related molecular mechanisms in the process of CCA.
Elevation of serum anti–glucose-regulated protein 78 antibodies in neuropsychiatric systemic lupus erythematosus

Objective Recent studies have demonstrated that autoantibodies directed against glucose-regulated protein 78 (GRP78) on endothelial cells promote blood–brain barrier (BBB) damages. The present study examined whether serum anti-GRP78 antibodies might be involved in the pathogenesis of neuropsychiatric SLE (NPSLE). Methods Serum samples were obtained from 129 patients with SLE (58 patients with diffuse psychiatric/neuropsychological syndromes of NPSLE (diffuse NPSLE), 30 with neurological syndromes (focal NPSLE), 21 with lupus nephritis (LN), 20 without NPSLE or LN (SLE alone)), from 35 patients with non-SLE rheumatic diseases (non-SLE RD) and from 24 healthy controls (HC). Anti-GRP78 levels were measured with an ELISA, using recombinant GRP78 as antigens. Cerebrospinal fluid (CSF) samples were also obtained from 88 patients with NPSLE. The BBB function was evaluated by Q albumin ((CSF albumin/serum albumin)×103). Results Serum anti-GRP78 levels were significantly elevated in SLE compared with non-SLE RD or HC. There were no significant differences in serum anti-GRP78 levels among NPSLE, LN and SLE alone. Of note, serum anti-GRP78 levels were significantly higher in acute confusional state (ACS) than in non-ACS diffuse NPSLE (p=0.0001) or in focal NPSLE (p=0.0002). Finally, serum anti-GRP78 levels were significantly correlated with Q albumin (r=0.294, p=0.0054) in NPSLE. Conclusion These results indicate that anti-GRP78 antibodies are associated with the development of diffuse NPSLE, especially ACS. Thus, the data suggest that anti-GRP78 antibodies might contribute to the development of ACS through the damages of BBB.
Robotic surgery improves transfusion rate and perioperative outcomes using a broad implementation process and multiple surgeon learning curves.

INTRODUCTION Data from a randomized trial suggest transfusion rates are similar for robotic and open prostatectomy. The objective of this study was to compare perioperative outcomes of robotic and open prostatectomy at a Canadian academic centre. METHODS A retrospective review of all prostatectomies performed by all surgeons at The Ottawa Hospital between 2009 and 2016 was completed. Cases and outcomes were identified using an administrative data warehouse. Extracted data included patient factors (age, body mass index, American Society of Anesthesiologists score, Elixhauser comorbidity score), operative factors (length of operation, surgical approach, anesthesia type), and perioperative outcomes (length of recovery room and hospital stay, transfusion rate, hospital cost). Baseline characteristics and outcomes were compared between robotic and open surgical approaches. The primary outcome was transfusion during the index admission. RESULTS A total of 1606 prostatectomies were performed by 12 surgeons during the study period (840 robotic, 766 open). The rate of transfusion was lower in patients undergoing robotic compared to open surgery (0.6% vs. 11.2%; p<0.001). The robotic prostatectomy cohort had a shorter length of stay in the recovery room (155.7 vs. 231.1 minutes; p<0.001) and shorter length of hospital admission (1.4 vs. 2.8 days; p<0.001). Hospital costs per case were approximately $800 more for robotic prostatectomy ($11 475 vs. $10 656; p<0.001). CONCLUSIONS This hospital-wide analysis revealed that robotic prostatectomy is associated with a lower transfusion rate compared to the open approach. Further studies emphasizing patient-reported outcomes are needed.
Thermodynamic Study of the Corrosion of Refractories by Sodium Carbonate

The corrosion of refractories by sodium salts in waste liquid at high temperature has become a serious problem. This paper focuses on the thermodynamic characterization of sodium carbonate (Na2CO3) corrosion of six refractories by FactSage modelling in combination with X-ray diffraction (XRD). Three of the refractories are oxides (Fe2O3, Al2O3, and Cr2O3), and the other three are synthetics spinels (magnesium chromium, MgO·Cr2O3; magnesioferrite, MgO·Fe2O3; and, magnesium aluminium, MgO·Al2O3). First, thermodynamic simulations were carried out with the FactSage thermodynamics model using the reaction package to predict the direction of the Na2CO3 corrosion reaction in terms of the Gibbs free energy. Then, the reactions between the six refractories and Na2CO3 were conducted through a series of refractories/Na2CO3 reaction tests. The XRD analytical method was used to describe and understand the chemistry and interpret mineral matter transformation. The products of the tests were also determined by X-ray diffraction and the experimental observations were compared with the results of the thermodynamic simulations. Furthermore, the strength of sodium corrosion of the refractory materials was comprehensively discussed. The results show that MgO·Al2O3 has the best thermal stability and it is hard to corrode by Na2CO3, while the chrome-containing refractory reacts easily with Na2CO3 with a considerably high amount of corrosion product at a temperature of 600 °C. These experimental results are in agreement with the thermodynamic calculations.
Defluoridation of synthetic and industrial wastewater by using acidic activated alumina adsorbent: characterization and optimization by response surface methodology

Abstract Excessive contamination of fluoride in wastewater is the cause of several chronic health problems. For this purpose, an adsorbent was prepared from alumina by acidic activation using sulfuric acid. The current research aims to find the maximum fluoride adsorption (%) from synthetic and industrial wastewater at optimum process parameters by using response surface methodology (RSM). All batch scale experiments were carried out according to the statistical-design order. Central composite design (CCD) was applied to ascertain the effect of adsorbent dose, pH, initial fluoride concentration and temperature on fluoride adsorption (%). Maximum fluoride removal was predicted based on the quadratic model developed. Validation of the model was done with negligible error. The regression coefficient of the model was found to be 0.96. From the analysis of variance (ANOVA), the factors with the greatest effect on the adsorption of fluoride were identified. Under optimized condition, the adsorbent dose 13.89 g L−1, pH 5.52, temperature 25 °C and initial fluoride concentration 18.67 mg L−1 resulted in 96% of maximum fluoride adsorption. Under the same optimized parameters, the fluoride adsorption from industrial wastewater found to be 92.10%.
Triple consistency loss for pairing distributions in GAN-based face synthesis

Generative Adversarial Networks have shown impressive results for the task of object translation, including face-to-face translation. A key component behind the success of recent approaches is the self-consistency loss, which encourages a network to recover the original input image when the output generated for a desired attribute is itself passed through the same network, but with the target attribute inverted. While the self-consistency loss yields photo-realistic results, it can be shown that the input and target domains, supposed to be close, differ substantially. This is empirically found by observing that a network recovers the input image even if attributes other than the inversion of the original goal are set as target. This stops one combining networks for different tasks, or using a network to do progressive forward passes. In this paper, we show empirical evidence of this effect, and propose a new loss to bridge the gap between the distributions of the input and target domains. This "triple consistency loss", aims to minimise the distance between the outputs generated by the network for different routes to the target, independent of any intermediate steps. To show this is effective, we incorporate the triple consistency loss into the training of a new landmark-guided face to face synthesis, where, contrary to previous works, the generated images can simultaneously undergo a large transformation in both expression and pose. To the best of our knowledge, we are the first to tackle the problem of mismatching distributions in self-domain synthesis, and to propose "in-the-wild" landmark-guided synthesis. Code will be available at this https URL
The Effects of Integrated Single- and Dual-Task Training on Automaticity and Attention Allocation in Parkinson’s Disease: A Secondary Analysis From a Randomized Trial

Objective: People with Parkinson’s disease (PwPD) demonstrate impaired automaticity of motor and cognitive tasks, with unclear prioritization strategies when exposed to dual-task situations. However, no randomized trials have investigated the effects of training on automaticity and prioritization strategies in this population. The purpose of this study was to investigate the effects of training on the automaticity of gait and cognitive processing in PwPD and the allocation of attention between gait and a cognitive task. Method: One-hundred PwPD were randomized to 10 weeks of challenging gait and balance training (including single and dual-task conditions) or to a control group (care as usual). Outcome measure was the absolute dual-task interference (difference between single- and dual-tasks) for gait and cognitive parameters. Differences between baseline and follow-up were compared between the groups. The Mann–Whitney U test was used to assess potential differences. Significance level was set to p = . 05. The direction and magnitude of nonparametric effect sizes were used to investigate attention allocation. Results: No significant between-groups differences were found regarding any gait parameter. The training group significantly improved the dual-task interference of the cognitive task. The direction of between-groups effect sizes indicated that the training group primarily allocated attention to the cognitive task, whereas the control group appeared to prioritize gait. Conclusions: The results indicate that challenging training can improve automaticity of cognitive processing during walking. This may have a beneficiary effect on the ability to ambulate safely in the community, thereby improving independence and the quality of life in this population.
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolutions for spatial prediction of shallow landslides around Bijar City, Kurdistan Province, Iran. The evaluation of modeling process was checked by some statistical measures and area under the receiver operating characteristic curve (AUROC). Results show that, for combination of sample sizes of 60%/40% and 70%/30% with a raster resolution of 10 m, the RS model, while, for 80%/20% and 90%/10% with a raster resolution of 20 m, the MB model obtained a high goodness-of-fit and prediction accuracy. The RS-ADTree and MB-ADTree ensemble models outperformed the ADTree model in two scenarios. Overall, MB-ADTree in sample size of 80%/20% with a resolution of 20 m (area under the curve (AUC) = 0.942) and sample size of 60%/40% with a resolution of 10 m (AUC = 0.845) had the highest and lowest prediction accuracy, respectively. The findings confirm that the newly proposed models are very promising alternative tools to assist planners and decision makers in the task of managing landslide prone areas.
Impact of survey length and compensation on validity, reliability, and sample characteristics for Ultrashort-, Short-, and Long-Research Participant Perception Surveys

Introduction The validated long Research Participant Perception Survey (RPPS-Long) elicits valuable data at modest response rates. Methods To address this limitation, we developed shorter RPPS-Ultrashort and RPPS-Short versions, fielded them with the RPPS-Long to a random sample of a national research volunteer registry, and assessed response and completion rates, test/retest reliability, and demographics. Results In total, 2228 eligible registry members received survey links. Response rates were 64% (RPPS-Ultrashort), 63% (RPPS-Short), and 51% (RPPS-Long), respectively (p<0.001). Completion rates were 63%, 54%, and 37%, respectively (p<0.001). All surveys were reliable with Cronbach α=0.81, 0.84, and 0.87, respectively. Retest reliability was highest for RPPS-short (κ=0.85). Provision of compensation increased RPPS-short completion rate from 54% to 71% (p<0.001). Compensated respondents were younger (p<0.001), with greater minority representation (p=0.03). Conclusions Shorter surveys were reliable and produced higher response and completion rates then long surveys. Compensation further increased completion rates and shifted sample age and race profiles.
Two-year outcomes of a pilot glaucoma suspect telemedicine monitoring program

Purpose The purpose of this study was to characterize a pilot program using e-health to monitor glaucoma suspects in a large integrated health system. Methods A retrospective chart review of patients enrolled in the first 2 years of a new glaucoma suspect telemedicine monitoring program was conducted. Patients were enrolled in the program after being diagnosed as glaucoma suspects in the regular clinic setting and were eligible for the program if they had better than 20/40 vision, intraocular pressure (IOP) <25 mmHg, a normal baseline visual field, and an optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) without clear evidence of glaucomatous optic nerve damage. Patients were followed annually thereafter with measurements of vision, IOP, and OCT RNFL, which were reviewed at a centralized telemedicine reading center. Patients were retained within the program unless there was evidence of disease progression, in which case they were referred to an ophthalmologist for further evaluation. The first 100 patients received a survey assessing their satisfaction with the program after their first visit. The number of patients who adhered to follow-up recommendations, who were referred to an ophthalmologist for additional evaluation, and who began on IOP-lowering medications was evaluated. Results A total of 225 patients were enrolled in this program. Of eligible patients, 97.3% attended their 1-year follow-up visit and 92.5% attended their 2-year follow-up visit. Over the course of 2 years, five patients were referred for further clinic evaluation due to concern for progressive RNFL loss, of which two were started on IOP-lowering medications. No patients were referred to the clinic for vision loss or elevated IOP. In all, 87% of patients said that they would be extremely or quite likely to recommend the program to a friend. More than 80% of patients said that the program was extremely or very helpful, convenient, and professional. Conclusion This novel telemedicine program for monitoring low-risk glaucoma suspects achieved high patient retention. Significant disease progression was rare with a few patients requiring referrals back to the clinic setting or initiation of IOP-lowering therapy. Telemedicine is a promising method to follow patients who are glaucoma suspects.
Tools and Benchmarks for Automated Log Parsing

Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers and support engineers to monitor their systems and dissect anomalous behaviors and errors. The increasing scale and complexity of modern software systems, however, make the volume of logs explodes. In many cases, the traditional way of manual log inspection becomes impractical. Many recent studies, as well as industrial tools, resort to powerful text search and machine learning-based analytics solutions. Due to the unstructured nature of logs, a first crucial step is to parse log messages into structured data for subsequent analysis. In recent years, automated log parsing has been widely studied in both academia and industry, producing a series of log parsers by different techniques. To better understand the characteristics of these log parsers, in this paper, we present a comprehensive evaluation study on automated log parsing and further release the tools and benchmarks for easy reuse. More specifically, we evaluate 13 log parsers on a total of 16 log datasets spanning distributed systems, supercomputers, operating systems, mobile systems, server applications, and standalone software. We report the benchmarking results in terms of accuracy, robustness, and efficiency, which are of practical importance when deploying automated log parsing in production. We also share the success stories and lessons learned in an industrial application at Huawei. We believe that our work could serve as the basis and provide valuable guidance to future research and deployment of automated log parsing.
Control Allocation of Rear Wheel Steering and Electronic Stability Control with Actuator Failure

This paper has presented optimal coordination of Rear Wheel Steering and Electronic Stability Control. The algorithm consists of three parts. First, state estimators for tire force, cornering stiffness and side slip angle have been designed. Second, desired vehicle motion has been generated considering driving situation and driver’s intention. Third, optimal coordinator has distributed the control task to the individual chassis control using analytical method with Karush-Kuhn-Tucker. The purpose of this study can be divided into two categories. One is optimal control of Rear Wheel Steering and Electronic Stability Control. Therefore, new cost functions have been defmed. The other is fault tolerant control during actuator fault or brake circuit failure. The performance of the proposed control system has been validated through closed-loop simulations with MATLABlSimulink and Carsim. The simulation results show that proposed system does not only distribute the control input to each control system but also ensure vehicle safety under actuator failure.
Comparison of Pre- and Post-translational Expressions of COXIV-1 and MT-ATPase 6 Genes in Colorectal Adenoma-Carcinoma Tissues

Objective: Colorectal cancer (CRC) develops from precancerous adenomatous polyps to malignant lesions of adenocarcinoma. Elucidating inhibition mechanisms for this route in patients with a risk of developing CRC is highly important for a potential diagnostic or prognostic marker. Differential expression of nuclear-encoded cytochrome c oxidase subunit 4 (COXIV) seems to contribute to a more unregulated respiration due to loss of ATP inhibition. Majority of energy for tumor transformations are mitochondrial origin. Differences in mitochondrial efficiency may be reflected in the progression of colorectal adenomatous polyps to adenocarcinomas. Here, we evaluate expression levels of COXIV isoform 1 (COXIV-1) and Mitochondrial (MT)-ATP synthase Subunit 6 (ATPase6) in adenomas of tubular, tubulovillous and villous tissues as compared to adenocarcinoma tissues. Method: Both RT-qPCR and western blot techniques were used to assess COXIV-1 and ATPase6 expression levels in 42 pairs of patients’ tissue samples. Protein carbonyl assay was performed to determine levels of oxidized proteins, as a measurement of ROS productions, in the tissue samples. Results: Differential RNA expression levels of COXIV-1 and ATPase6 from whole tissues were observed. Interestingly, RNA expression levels obtained from mitochondrial for COXIV-1 were significantly decreased in tubulovillous, villous adenomas and adenocarcinoma, but not in the tubular-polyps. Moreover, mitochondrial ATPase6 RNA expression levels decreased progressively from adenopolyps to adenocarcinoma. In mitochondrial protein, expression levels of both genes progressively decreased with a three folds from adenomatous polyps to adenocarcinoma. Whilst the ATPase6 protein expression significantly decreased in adenocarcinoma compared to villous, conversely, the levels of oxidized carbonyl proteins were considerably increased from adenomatous polyps to adenocarcinoma. Conclusion: Our findings provide evidence that decreased mitochondrial protein expression of COXIV-1 and ATPase6 correlates with increased ROS production during colorectal adenomatous polyps’ progression, suggesting the pivotal role of COXIV-1 in energy metabolism of colorectal cells as they progress from polyps to carcinoma.
T-Cell Exhaustion in Chronic Infections: Reversing the State of Exhaustion and Reinvigorating Optimal Protective Immune Responses

T-cell exhaustion is a phenomenon of dysfunction or physical elimination of antigen-specific T cells reported in human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) infections as well as cancer. Exhaustion appears to be often restricted to CD8+ T cells responses in the literature, although CD4+ T cells have also been reported to be functionally exhausted in certain chronic infections. Although our understanding of the molecular mechanisms associated with the transcriptional regulation of T-cell exhaustion is advancing, it is imperative to also explore the central mechanisms that control the altered expression patterns. Targeting metabolic dysfunctions with mitochondrion-targeted antioxidants are also expected to improve the antiviral functions of exhausted virus-specific CD8+ T cells. In addition, it is crucial to consider the contributions of mitochondrial biogenesis on T-cell exhaustion and how mitochondrial metabolism of T cells could be targeted whilst treating chronic viral infections. Here, we review the current understanding of cardinal features of T-cell exhaustion in chronic infections, and have attempted to focus on recent discoveries, potential strategies to reverse exhaustion and reinvigorate optimal protective immune responses in the host.