Miracle-dz/UniFAR-FTUs huggingface dataset:
Biological characteristics of gene expression features in pancreatic cancer cells induced by proton and X-ray irradiation

Abstract Background: Radiation therapy is an important alternative treatment for advanced cancer. The aim of the current study was to disclose distinct alterations of the biological characteristics of gene expression features in pancreatic cancer cells, MIAPaCa-2, following proton and X-ray irradiation. Materials and methods: Using cDNA microarray, we examined the gene expression alterations of MIAPaCa-2 cells following proton or X-ray irradiation. We also isolated the surviving MIAPaCa-2 cells after irradiation and analyzed their gene expression profiles. Results: Although the cytocidal effects of both types of irradiation were similar at sufficient doses in vitro and in vivo, the affected gene expression profile alterations of MIAPaCa-2 cells irradiated with protons were distinct from those irradiated with X-ray. Interestingly, clustering analysis of gene expression of the surviving MIAPaCa-2 cells was also completely discernible between the two types of irradiation. However, a similar cytocidal effect was still observed in the proton- and X-ray-irradiated surviving cells after re-irradiation, commonly showing biological effects related to apoptosis and cell cycle processes. Conclusions: Proton irradiation treatment for pancreatic cancer provides the distinct biological effect of steady gene expression alterations compared to X-ray irradiation; however, surviving cells from both types of irradiation were still susceptible to the cytocidal effects induced by proton re-irradiation treatment.
The efficacy of first-line regimens for Helicobacter pylori eradication in different continents

Background: Striking prevalence of Helicobacter pylori infection has been convoluted with considerable resistance to various antibiotics worldwide. Although many eradication regimens have been introduced as the first-line therapies against H pylori, lack of appropriate multiple comparison studies makes hard to implement such results to the clinical practice. This project attempts to utilize a comprehensive network meta-analysis to pool the results of clinical trial comparing various first-line eradication therapies simultaneously in different continents. Methods: We will include all randomized controlled trials assessing the first-line regimens for treatment of H pylori published in last 10 years. We will search the databases of PubMed, EMBASE, Scopus, Web of Science and Cochrane Central Register of Controlled Trials, International Standard Randomised Controlled Trial Number registry, World Health Organisation International Clinical Trials Registry Platform, and ClinicalTrials.gov for randomized controlled trials published since January 2009 without language limitation. The primary and secondary outcomes will be H pylori eradication rate and adverse events, respectively. Subgroup analyses will be conducted for different continents. Two reviewers will independently contribute in study selection and data extraction. For evaluating quality of studies, Cochrane Collaboration tool score will be used. We will conduct network meta-analysis for treatment comparisons using STATA software version 13. Results: These findings will be submitted to a peer-reviewed journal for publication. Conclusion: Our results will provide the guidance for clinicians in deferent regions to select the best possible therapeutic regimen for treatment of H pylori infected patients. Registration number: This systematic review and network meta-analysis has been registered in the PROSPERO International Prospective Register of Systematic Reviews, with registration number CRD42017077061.
The problem of genetic code misreading during protein synthesis

Saccharomyces cerevisiae has been an important model for determining the frequency of translational misreading events, those in which a tRNA pairs incorrectly to the mRNA and inserts an amino acid not specified by the codon in the mRNA. Misreading errors have been quantified in vivo using reporter protein systems or mass spectrometry with both approaches converging on a simple model for most misreading. The available data show that misreading tRNAs must form stereotypical base mismatches that correspond to those that can mimic Watson–Crick base pairs when formed in the ribosomal A site. Errors involving other mismatches occur significantly less frequently. This work debunks the idea of an average misreading frequency of 5 × 10−4 per codon that extends across the genetic code. Instead, errors come in two distinct classes—high frequency and low frequency events—with most errors being of the low frequency type. A comparison of misreading errors in S. cerevisiae and Escherichia coli suggests the existence of a mechanism that reduces misreading frequency in yeast; this mechanism may operate in eukaryotes generally.
High Efficiency and Small Antenna With Horn and Lens for 77 GHz Automotive Radar

An antenna with a pyramidal horn and a dielectric lens was investigated to reduce a size of long-range automotive radars in the 77-GHz band. By employing an array with two horns and lenses where a diameter of the lens was half of whole output-aperture length, a height of the antenna was reduced while keeping an antenna efficiency high. The fabricated antenna with commercially available materials had the height of 14 mm and achieved the antenna efficiency of 45.6% and a frequency bandwidth of 5 GHz where reflection coefficient S11 was below −10 dB. The antenna had a flat beam whose 3-dB beamwidth was 4.5° in elevation and 15° in azimuth, meaning that the antenna can be used for long range radar with a single beam.
SUMOylation by SUMO2 is implicated in the degradation of misfolded ataxin-7 via RNF4 in SCA7 models

ABSTRACT Perturbation of protein homeostasis and aggregation of misfolded proteins is a major cause of many human diseases. A hallmark of the neurodegenerative disease spinocerebellar ataxia type 7 (SCA7) is the intranuclear accumulation of mutant, misfolded ataxin-7 (polyQ-ATXN7). Here, we show that endogenous ATXN7 is modified by SUMO proteins, thus also suggesting a physiological role for this modification under conditions of proteotoxic stress caused by the accumulation of polyQ-ATXN7. Co-immunoprecipitation experiments, immunofluorescence microscopy and proximity ligation assays confirmed the colocalization and interaction of polyQ-ATXN7 with SUMO2 in cells. Moreover, upon inhibition of the proteasome, both endogenous SUMO2/3 and the RNF4 ubiquitin ligase surround large polyQ-ATXN7 intranuclear inclusions. Overexpression of RNF4 and/or SUMO2 significantly decreased levels of polyQ-ATXN7 and, upon proteasomal inhibition, led to a marked increase in the polyubiquitination of polyQ-ATXN7. This provides a mechanism for the clearance of polyQ-ATXN7 from affected cells that involves the recruitment of RNF4 by SUMO2/3-modified polyQ-ATXN7, thus leading to its ubiquitination and proteasomal degradation. In a SCA7 knock-in mouse model, we similarly observed colocalization of SUMO2/3 with polyQ-ATXN7 inclusions in the cerebellum and retina. Furthermore, we detected accumulation of SUMO2/3 high-molecular-mass species in the cerebellum of SCA7 knock-in mice, compared with their wild-type littermates, and changes in SUMO-related transcripts. Immunohistochemical analysis showed the accumulation of SUMO proteins and RNF4 in the cerebellum of SCA7 patients. Taken together, our results show that the SUMO pathway contributes to the clearance of aggregated ATXN7 and suggest that its deregulation might be associated with SCA7 disease progression. Summary: In spinocerebellar ataxia type 7, SUMOylation contributes to the clearance of mutant ATXN7. SUMO2-modified ATXN7 interacts with the SUMO-dependent ubiquitin ligase RNF4, which polyubiquitinates ATXN7, promoting its proteasomal degradation.
A Wideband Uniplanar Double-Ring Crossover With Balanced and Single-Ended Paths

For the first time, a planar crossover with balanced and single-ended (SE) paths composed of double rings is presented. The parameters’ constraint is extracted, and rigorous derivations are provided. In addition, the relationships between the parameter values and the bandwidths are thoroughly analyzed. Finally, a prototype is designed and fabricated, which achieved 36.9% and 37.7% 1-dB insertion-loss bandwidths for the balanced and SE paths. Meanwhile, the 15-dB path-isolation bandwidth is 32.4%, and a 40.6% bandwidth of 15-dB common-mode suppressions is realized.
A huge gastric bezoar treated by traditional Chinese medicine purgative

Rationale: Currently, the mainstream treatment for gastric bezoars is endoscopic lithotripsy. This report describes traditional Chinese medicine (TCM) purgative cured a 62-year-old woman with a huge gastric bezoar accompanied by isolated esophageal venous aneurysms and multiple bleeding gastric ulcers. Patient concerns: A 62-year-old woman with several symptoms, including epigastric pain, nausea, and vomiting, hiccups, heartburn, and dark, loose stools. The patient showed abdominal tenderness, positive Murphy sign, hyperactive bowel sounds, a pale tongue with scalloped edges, greasy moss, and pulse moisten. A complementary examination revealed the presence of occult blood in the vomit. Diagnosis: The patient was diagnosed with isolated esophageal venous aneurysms, gastric bezoars, and multiple bleeding gastric ulcers. Gastroscopy revealed a 0.6 cm blue uplift, a smooth surface, and a regular and clearly defined dentate line. A large bezoar was observed in the stomach cavity with a dark red blood in the surface. The gastric angle showed multiple lesions, with their largest diameter being 2.5 cm, blood was oozing from these ulcers. Interventions: The patient was prescribed a TCM purgative combined with omeprazole enteric-coated tablets. Three days after admission, the patient was diagnosed with isolated esophageal venous aneurysms, gastric bezoars, multiple bleeding gastric ulcers. A specific herbal formula was prescribed to eliminate the bezoar. In addition, conventional western medicine was used for the patient, such as pantoprazole sodium intravenous infusion to inhibit gastric acid and sodium bicarbonate solution orally to soften the gastric bezoar. Outcomes: After 5 days, the patient had complete relief from all remaining symptoms, including stomach pain and hiccups. Follow-up gastroscopy revealed that the venous aneurysm and gastric bezoar had disappeared, and the ulcer had reduced in size to approximately 0.6 to 0.8 cm. The patient was discharged after recovery and did not relapse for 3 years. Lessons: TCM combined with conventional western medicine to treat huge gastric bezoars and its complications is effective and safe, and worth to be recommended as an alternative to endoscopic lithotripsy.
Noise Considerations in Pulse-Shaping Based TIA Channel Designed for a Pulsed TOF Laser Radar Receiver

In this study a detailed noise analysis and measurements of a time-of-flight (TOF) laser radar front-end amplifier are presented, in which an LC pulse shaper is combined with the non-linear feedback Trans-Impedance Amplifier in order to achieve a low noise and wide dynamic range TOF receiver. The noise of the receiver limits the single shot precision and sensitivity (i.e., the dynamic range at low end) of the receiver channel. It is shown that the proposed technique shapes the noise generated by various components of the front-end. Furthermore, in order to achieve the best possible noise performance, various compromises over different characteristics of the front-end (walk error, bandwidth) are discussed. The proposed front-end amplifier was fabricated as a part of a TOF receiver chip in a $0.35\,\mu \mathrm {m}$ standard CMOS process and our measurements show a trans-impedance gain of $\sim 122\,\mathrm{dB}\Omega $, a bandwidth of $\sim 200$ MHz, and an input-referred equivalent current noise of $\sim 60$ nA.
A Tally System Based on CNN and Block Chain

In order to design a reliable and convenient tally method, the emergence of a tally system solves the problem of high database maintenance costs, such as management of the site factory, telecom, power companies, etc. The novel phases, constituted of the Convolutional Neural Network (CNN) and the block chain, extracts character characteristics through the VGG network training character classification model. The principal component analysis(PCA) algorithm accelerates feature comparison efficiency by reducing the dimensions of the feature matrix. In terms of data storage, the consistency of the Practical Byzantine Fault Tolerance(PBFT) algorithm ensures the accuracy of the data. The experiment demonstrates that practicability of the system can catch the requirements of the automatic bookkeeping method in the construction site.
Shifting Preferences for Primate Faces in Neurotypical Infants and Infants Later Diagnosed With ASD

Infants look at others' faces to gather social information. Newborns look equally at human and monkey faces but prefer human faces by 1 month, helping them learn to communicate and interact with others. Infants later diagnosed with autism spectrum disorder (ASD) look at human faces less than neurotypical infants, which may underlie some deficits in social‐communication later in life. Here, we asked whether infants later diagnosed with ASD differ in their preferences for both human and nonhuman primate faces compared to neurotypical infants over their first 2 years of life. We compare infants' relative looking times to human or monkey faces paired with nonface controls (Experiment 1) and infants' total looking times to pairs of human and monkey faces (Experiment 2). Across two experiments, we find that between 6 and 18 months, infants later diagnosed with ASD show a greater downturn (decrease after an initial increase) in looking at both primate faces than neurotypical infants. A decrease in attention to primate faces may partly underlie the social‐communicative difficulties in children with ASD and could reveal how early perceptual experiences with faces affect development. Autism Res 2019, 12: 249–262 © 2018 International Society for Autism Research, Wiley Periodicals, Inc.
Wide Residual Networks for Semantic Segmentation

In the task of object recognition, convolutional neural networks (CNNs) have achieved high performance. In addition, these CNNs are also applied to the field of semantic image segmentation. However, applying the classification models to semantic segmentation tasks has a problem, lack of global context and reduction in resolution. In this work, we propose global context module and high resolution path in order to solve above problems. By simply combining them with an existing classification model (wide residual networks), our methods yield high-accuracy segmentation models. Our proposed approaches produce competitive results, the mean intersection over union (IoU) 67.6% and global accuracy 91.1%, on CamVid test set.
15. Diabetes Care in the Hospital: Standards of Medical Care in Diabetes—2019

The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes. org/SOC.
Feature Fusion with Deep Supervision for Remote-Sensing Image Scene Classification

The convolutional neural networks (CNNs) have shown an intrinsic ability to automatically extract high level representations for image classification, but there is a major hurdle to their deployment in the remote-sensing domain because of a relative lack of training data. Moreover, traditional fusion methods use either low-level features or score-based fusion to fuse the features. In order to address the aforementioned issues, we employed a deep supervision (DS) strategy to enhance the generalization performance in the intermediate layers of the AlexNet model for remote-sensing image scene classification. The proposed DS strategy not only prevents from overfitting, but also extracts the features more transparently. Secondly, the canonical correlation analysis (CCA) is adopted as a feature fusion strategy to further refine the features with more discriminative power. The fused AlexNet features achieved by the proposed framework have much higher discrimination than the pure features. Extensive experiments on two challenging datasets: 1) UC MERCED data set and 2) WHU-RS dataset demonstrate that the two proposed approaches both enhance the performance of the original AlexNet architecture, and also outperform several state-of-the-art methods currently in use.
Hybrids-Simulation using EMT - And Phasor-Based Model for Converter Dominated Distribution Grid

The objective of this paper is to demonstrate a practical real-time approach for simulation of a converter dominated distribution grid. This approach suggested, use ePHASORSIM to simulate the large-scale over-layer grid in phasor-domain, and eMEGASIM for selected buses of 20kv grid in EMT -based detailed equivalent model. In this Approach offer a tool to find the balance between calculation efficiency and simulation accuracy. The improvement on real time capability and system-usage by using this hybrid approach are demonstrated with real-time simulation results on OPAL-RT realtime simulator.
A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

Over the past decades, there has been significant research effort dedicated to the development of intelligent vehicles and V2X systems. This paper proposes a road traffic risk assessment method for road traffic accident prevention of intelligent vehicles. This method is based on HMM (Hidden Markov Model) and is applied to the prediction of steering angle status to (1) evaluate the probabilities of the steering angle in each independent interval and (2) calculate the road traffic risk in different analysis regions. According to the model, the road traffic risk is quantified and presented directly in a visual form by the time-varying risk map, to ensure the accuracy of assessment and prediction. Experiment results are presented, and the results show the effectiveness of the assessment strategies.
Gender Disparities in Vascular Access Surgical Outcomes in Elderly Hemodialysis Patients

Background: Despite national vascular access guidelines promoting the use of arteriovenous fistulas (AVF) over arteriovenous grafts (AVGs) for dialysis, AVF use is substantially lower in females. We assessed clinically relevant AVF and AVG surgical outcomes in elderly male and female patients initiating hemodialysis with a central venous catheter (CVC). Methods: Using the United States Renal Data System standard analytic files linked with Medicare claims, we assessed incident hemodialysis patients in the United States, 9,458 elderly patients (≥67 years; 4,927 males and 4,531 females) initiating hemodialysis from July 2010 to June 2011 with a catheter and had an AVF or AVG placed within 6 months. We evaluated vascular access placement, successful use for dialysis, assisted use (requiring an intervention before successful use), abandonment after successful use, and rate of interventions after successful use. Results: Females were less likely than males to receive an AVF (adjusted likelihood 0.57, 95% CI 0.52–0.63). Among patients receiving an AVF, females had higher adjusted likelihoods of unsuccessful AVF use (hazard ratio [HR] 1.46, 95% CI 1.36–1.56), assisted AVF use (OR 1.34, 95% CI 1.17–1.54), and AVF abandonment (HR 1.28, 95% CI 1.10–1.50), but similar relative rate of AVF interventions after successful use (relative risk [RR] 1.01, 95% CI 0.94–1.08). Among patients receiving an AVG, females had a lower likelihood of unsuccessful AVG use (HR 0.83, 95% CI 0.73–0.94), similar rates of assisted AVG use (OR 1.05, 95% CI 0.78–1.40) and AVG abandonment, and greater relative rate of interventions after successful AVG use (RR 1.16, 95% CI 1.01–1.33). Conclusions: While AVFs should be considered the preferred vascular access in most circumstances, clinical AVF surgical outcomes are uniformly worse in females. Clinicians should also consider AVGs as a viable alternative in elderly female patients initiating hemodialysis with a CVC to avoid extended CVC dependence.
Simulation of Coordinated Market Grid Operations considering Uncertainties

Within the venture “REGEES” (REGenerative rEnewable Electricity System) a new approach for a Coordinated Market Grid Operation Management (CMGOM) was developed. This approach is investigated in a simulation considering uncertainties. Therefore, the energy time series generator as a method to generate time series for demand and feed-in is described and used to generate simulation input in the form of forecast-scenarios for load and feed-in. Uncertainties in the form of forecast errors and stochastic time series properties are taken into account. The optimization problem, which represents the mathematical description for the acquisition and balancing process of the Balance Responsible Party (BRP), is introduced. Finally, the energy system simulation is described for a test case in order to evaluate the CMGOM approach with consideration of uncertainty. For this purpose, deterministic optimization and two versions of optimization with uncertainties are compared.
Characterization and Modeling of RF GaN Switches Accounting for Trap-Induced Degradation Under Operating Regimes

This paper describes the performance degradation of RF GaN-on-SiC HEMT switches due to the charge trapping, which is triggered by high voltages under operating regimes. A custom measurement setup is used for the characterization of the switching behavior under dynamic control and blocking voltages. It is shown that both small- [i.e., insertion loss (IL)] and large-signal (LS) performances (i.e., switch compression) are affected by traps. Depending on the applied voltages, an increase of the switch IL up to 50% and significant degradation of the switch compression characteristic were measured for a <inline-formula> <tex-math notation="LaTeX">$4 \times 75\,\,\mu \text{m}^{2}$ </tex-math></inline-formula> RF switch in 0.25-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> GaN-on-SiC technology. These mechanisms cannot be observed with conventional static characterization, and they are not described by standard RF switch models. A device model capable to account for the observed characteristics is identified and empirically validated under LS conditions at 10 GHz.