Miracle-dz/UniFAR-FTUs huggingface dataset:
The new ultralow dose CT protocol for the diagnosis of fractures of the ankle: A prospective comparative study with conventional CT

Purpose: Computerized tomography (CT) imaging is increasingly being used to evaluate patients with ankle trauma. However, conventional CT (C CT) has a significantly higher radiation dose (RD) than plain radiography. This study aimed to evaluate the diagnostic accuracy and reliability of ultra-low-dose CT (ULDCT) protocol for ankle fractures. Methods: Ninety-eight consecutive patients who had ankle CT for suspected ankle fracture were included in our prospective study. C CT and ULDCT protocols were simultaneously performed on these 98 patients. Two observers independently evaluated ULDCT and C CT images. The effective RD of the ULDCT and C CT groups was calculated. Results: The interobserver agreement was 1 (perfect). ULDCT and C CT group images showed no significant difference in image quality. The effective RD of the ULDCT was significantly lower than the C CT (p < 0.001). Conclusions: By evaluating the results of this study, ULDCT proved to be a reliable diagnostic imaging method for fractures of the ankle. The satisfactory diagnostic image quality of the ULDCT protocol provides promising results. Level of Evidence: Level II/lesser quality RCT or prospective comparative study
Deep Learning Method for Grasping Novel Objects Using Dexterous Hands

Robotic grasping ability lags far behind human skills and poses a significant challenge in the robotics research area. According to the grasping part of an object, humans can select the appropriate grasping postures of their fingers. When humans grasp the same part of an object, different poses of the palm will cause them to select different grasping postures. Inspired by these human skills, in this article, we propose new grasping posture prediction networks (GPPNs) with multiple inputs, which acquire information from the object image and the palm pose of the dexterous hand to predict appropriate grasping postures. The GPPNs are further combined with grasping rectangle detection networks (GRDNs) to construct multilevel convolutional neural networks (ML-CNNs). In this study, a force-closure index was designed to analyze the grasping quality, and force-closure grasping postures were generated in the GraspIt! environment. Depth images of objects were captured in the Gazebo environment to construct the dataset for the GPPNs. Herein, we describe simulation experiments conducted in the GraspIt! environment, and present our study of the influences of the image input and the palm pose input on the GPPNs using a variable-controlling approach. In addition, the ML-CNNs were compared with the existing grasp detection methods. The simulation results verify that the ML-CNNs have a high grasping quality. The grasping experiments were implemented on the Shadow hand platform, and the results show that the ML-CNNs can accurately complete grasping of novel objects with good performance.
Digitalization and the Social Lives of Older Adults: Protocol for a Microlongitudinal Study

Background Digital technologies are increasingly pervading our daily lives. Although older adults started using digital technologies later than other age groups, they are increasingly adopting these technologies, especially with the goal of communicating with others. However, less is known about how online social activities are embedded in older adults’ daily lives, how they complement other (offline) social activities, and how they contribute to social connectedness and well-being. Objective Data generated by this project will allow us to understand how older adults use digital communication in their daily lives to communicate with others, how this relates to well-being and social connectedness, and how communication using digital technologies differs from other types of communication depending on situational and individual characteristics. Methods Microlongitudinal data were collected from 120 older adults from German-speaking regions of Switzerland to examine these questions. Data collection took place from April 2019 to October 2019. Data collection took place over different time scales, including event-based (reporting all social interactions for 21 days), daily (well-being, loneliness, and technology use every evening for 21 days), hourly (cortisol assessments 6 times per day for 3 days), and baseline (relevant interindividual characteristics, including sociodemographics, health, technology use, personality, and cognitive performance) assessments. Results Data collection for this study was completed in November 2019. Participants reported an average of 96.35 interactions across the 21 days. Among the total 11,453 interactions, 5494 (47.97%) were face-to-face, and around 16% each were interactions by phone (1858, 16.16%), email (1858, 16.22%), and text message (1853, 16.18%). Otherwise, 246 (2.15%) of the interactions took place on social media, 96 (0.84)% were letters, and 54 (0.47%) of the interactions took place on videochat. Conclusions Participants used a variety of modalities in their daily communication, including digital means such as text messages, email, and video calls. Further analysis will provide more detail as to the role that communication via digital media plays in older adults’ daily lives. International Registered Report Identifier (IRRID) RR1-10.2196/20306
Effects of Sodium Trimetaphosphate, Associated or Not with Fluoride, on the Composition and pH of Mixed Biofilms, before and after Exposure to Sucrose

The aim of the present study was to evaluate the influence of sodium trimetaphosphate (TMP), associated or not with fluoride (F), on the concentrations of F, calcium (Ca), and phosphorus (P) and on the pH of mixed biofilms of Streptococcus mutans and Candida albicans, before and after exposure to sucrose. The biofilms received three treatments (72, 78, and 96 h after the beginning of their formation), at three TMP concentrations (0.25, 0.5, or 1%), with or without F at 500 ppm. Solutions containing 500 and 1,100 ppm F as well as artificial saliva were also tested as controls. Biofilm pH was measured and the concentrations of F, Ca, and P were determined (solid and fluid phases). In a parallel experiment, after the third treatment (96 h), the biofilms were exposed to a 20% sucrose solution to simulate a cariogenic challenge and the pH of the medium, F, Ca, P, and TMP were determined. The data were submitted by two-way ANOVA, followed by Fisher’s least significant difference test (p < 0.05). Treatment with TMP and 500 ppm F led to higher F concentration in the biofilm fluid. Although TMP did not affect Ca concentrations, biofilms treated with TMP alone presented higher P concentrations. Treatment with 1% TMP and F led to the highest pH values of the biofilm, both before and after the cariogenic challenge. It was concluded that TMP increases F and P in the biofilm and that its presence promotes an increase in the pH of the medium, even after the cariogenic challenge.
Artificial intelligence and cardiovascular imaging: A win–win combination

Rapid development of artificial intelligence (AI) is gaining grounds in medicine. Its huge impact and inevitable necessity are also reflected in cardiovascular imaging. Although AI would probably never replace doctors, it can significantly support and improve their productivity and diagnostic performance. Many algorithms have already proven useful at all stages of the cardiac imaging chain. Their crucial practical applications include classification, automatic quantification, notification, diagnosis, and risk prediction. Consequently, more reproducible and repeatable studies are obtained, and personalized reports may be available to any patient. Utilization of AI also increases patient safety and decreases healthcare costs. Furthermore, AI is particularly useful for beginners in the field of cardiac imaging as it provides anatomic guidance and interpretation of complex imaging results. In contrast, lack of interpretability and explainability in AI carries a risk of harmful recommendations. This review was aimed at summarizing AI principles, essential execution requirements, and challenges as well as its recent applications in cardiovascular imaging.
MicroRNA-203 inhibits epithelial-mesenchymal transition, migration, and invasion of renal cell carcinoma cells via the inactivation of the PI3K/AKT signaling pathway by inhibiting CAV1

ABSTRACT The present study aimed to evaluate the underlying mechanism of microRNA-203 (miR-203) in renal cell carcinoma (RCC) involving the PI3K/AKT signaling pathway. The results revealed downregulated miR-203 and upregulated CAV1 in RCC tissues. Upregulated miR-203 and downregulated CAV1 increased E-cadherin expression and cell apoptosis, decreased β-catenin and N-cadherin expression and cell proliferation, migration and invasion, and blocked cell cycle entry. CAV1, a target gene of miR-203, decreased by up-regulated miR-203, and silencing CAV1 led to the inactivation of PI3K/AKT signaling pathway. In conclusion, our findings suggested that miR-203-mediated direct suppression of CAV1 inhibits EMT of RCC cells via inactivation of the PI3K/AKT signaling pathway.
Functional Impact of BeKm-1, a High-Affinity hERG Blocker, on Cardiomyocytes Derived from Human-Induced Pluripotent Stem Cells

IKr current, a major component of cardiac repolarization, is mediated by human Ether-à-go-go-Related Gene (hERG, Kv11.1) potassium channels. The blockage of these channels by pharmacological compounds is associated to drug-induced long QT syndrome (LQTS), which is a life-threatening disorder characterized by ventricular arrhythmias and defects in cardiac repolarization that can be illustrated using cardiomyocytes derived from human-induced pluripotent stem cells (hiPS-CMs). This study was meant to assess the modification in hiPS-CMs excitability and contractile properties by BeKm-1, a natural scorpion venom peptide that selectively interacts with the extracellular face of hERG, by opposition to reference compounds that act onto the intracellular face. Using an automated patch-clamp system, we compared the affinity of BeKm-1 for hERG channels with some reference compounds. We fully assessed its effects on the electrophysiological, calcium handling, and beating properties of hiPS-CMs. By delaying cardiomyocyte repolarization, the peptide induces early afterdepolarizations and reduces spontaneous action potentials, calcium transients, and contraction frequencies, therefore recapitulating several of the critical phenotype features associated with arrhythmic risk in drug-induced LQTS. BeKm-1 exemplifies an interesting reference compound in the integrated hiPS-CMs cell model for all drugs that may block the hERG channel from the outer face. Being a peptide that is easily modifiable, it will serve as an ideal molecular platform for the design of new hERG modulators displaying additional functionalities.
Internet use disorders: What's new and what's not?. •

Abstract This commentary critiques the recent paper by Montag et al. (2019) and (i) argues that there are a number of issues that are presented as contemporary but have been discussed in the internet addiction literature for over 20 years, (ii) argues that generalized internet use disorder (IUD)/smartphone use disorder (SmUD) and specific IUD/SmUD may mean different things to different scholars, (iii) suggests that online activities that involve content creation often utilize nonmobile devices, and (iv) suggests that there are some potentially problematic online behaviors that are not included as major activities in the proposed in Montag et al.‘s taxonomy of internet-related problematic behaviors.
PKM2 Determines Myofiber Hypertrophy In Vitro and Increases in Response to Resistance Exercise in Human Skeletal Muscle

Nearly 100 years ago, Otto Warburg investigated the metabolism of growing tissues and discovered that tumors reprogram their metabolism. It is poorly understood whether and how hypertrophying muscle, another growing tissue, reprograms its metabolism too. Here, we studied pyruvate kinase muscle (PKM), which can be spliced into two isoforms (PKM1, PKM2). This is of interest, because PKM2 redirects glycolytic flux towards biosynthetic pathways, which might contribute to muscle hypertrophy too. We first investigated whether resistance exercise changes PKM isoform expression in growing human skeletal muscle and found that PKM2 abundance increases after six weeks of resistance training, whereas PKM1 decreases. Second, we determined that Pkm2 expression is higher in fast compared to slow fiber types in rat skeletal muscle. Third, by inducing hypertrophy in differentiated C2C12 cells and by selectively silencing Pkm1 and/or Pkm2 with siRNA, we found that PKM2 limits myotube growth. We conclude that PKM2 contributes to hypertrophy in C2C12 myotubes and indicates a changed metabolic environment within hypertrophying human skeletal muscle fibers. PKM2 is preferentially expressed in fast muscle fibers and may partly contribute to the increased potential for hypertrophy in fast fibers.
Understanding of Curved Corridor Scenes Based on Projection of Spatial Right-Angles

Helping mobile robots understand curved corridor scenes has considerable value in computer vision. However, due to the diversity of curved corridor scenes, such as curved structures that do not satisfy Manhattan assumption, understanding them remains a challenge. Curved non-Manhattan structures can be seen as compositions of spatial right angles projected into two dimensional projections, which may help us estimate their original posture in 3D scenes. In this paper, we presented an approach for mobile robots to understand curved corridor scenes including Manhattan and curved non-Manhattan structures, from a single image. Angle projections can be assigned to different clusters via geometric inference. Then coplanar structures can be estimated. Fold structures consisting of coplanar structures can be estimated, and curved non-Manhattan structures can be approximately represented by fold structures. Based on understanding curved non-Manhattan structures, the method is practical and efficient for a navigating mobile robot in curved corridor scenes. The algorithm requires no prior training or knowledge of the camera’s internal parameters. With geometric features from a monocular camera, the method is robust to calibration errors and image noise. We compared the estimated curved layout against the ground truth and measured the percentage of pixels that were incorrectly classified. The experimental results showed that the algorithm can successfully understand curved corridor scenes including both Manhattan and curved non-Manhattan structures, meeting the requirements of robot navigation in a curved corridor environment.
Avian Viruses that Impact Table Egg Production

Simple Summary Global table egg production is a multibillion-dollar industry. Poultry eggs provide an important source of protein, and consumers demand high-quality products. The industry relies on efficiency and good management, including vaccinations against the major poultry diseases, in order to ensure that they can match consumer demand. However, although there are a number of effective disease prevention protocols in place on poultry farms, viruses that affect egg production continue to be a major constraint for the sustainability of the table egg industry globally. Various factors related to either the infecting virus, the host, or the management system have been demonstrated to contribute significantly to the challenge for effective egg production. Viral infections in laying flocks have been shown to target various biological mechanisms that are essential for the quantitative and qualitative traits of egg production. This review describes the mechanisms involved in viral diseases of poultry that induce undesirable effects on egg production. Abstract Eggs are a common source of protein and other nutrient components for people worldwide. Commercial egg-laying birds encounter several challenges during the long production cycle. An efficient egg production process requires a healthy bird with a competent reproductive system. Several viral pathogens that can impact the bird’s health or induce reversible or irreversible lesions in the female reproductive organs adversely interfere with the egg industry. The negative effects exerted by viral diseases create a temporary or permanent decrease in egg production, in addition to the production of low-quality eggs. Several factors including, but not limited to, the age of the bird, and the infecting viral strain and part of reproductive system involved contribute to the form of reproductive disease encountered. Advanced methodologies have successfully elucidated some of the virus–host interactions relevant to the hen’s reproductive performance, however, this branch needs further research. This review discusses the major avian viral infections that have been reported to adversely affect egg productivity and quality and aims to summarize the current understanding of the mechanisms that underlie the observed negative effects.
Structural and biochemical characteristics of two Staphylococcus epidermidis RNase J paralogs RNase J1 and RNase J2

RNase J enzymes are metallohydrolases that are involved in RNA maturation and RNA recycling, govern gene expression in bacteria, and catalyze both exonuclease and endonuclease activity. The catalytic activity of RNase J is regulated by multiple mechanisms which include oligomerization, conformational changes to aid substrate recognition, and the metal cofactor at the active site. However, little is known of how RNase J paralogs differ in expression and activity. Here we describe structural and biochemical features of two Staphylococcus epidermidis RNase J paralogs, RNase J1 and RNase J2. RNase J1 is a homodimer with exonuclease activity aided by two metal cofactors at the active site. RNase J2, on the other hand, has endonuclease activity and one metal ion at the active site and is predominantly a monomer. We note that the expression levels of these enzymes vary across Staphylococcal strains. Together, these observations suggest that multiple interacting RNase J paralogs could provide a strategy for functional improvisation utilizing differences in intracellular concentration, quaternary structure, and distinct active site architecture despite overall structural similarity.
Association of Common Use Pharmaceuticals in Reducing Risk of Esophageal Adenocarcinoma: A SEER–Medicare Analysis

The use of common drugs, such as proton pump inhibitors, statins, non-steroidal anti-inflammatory drugs, or metformin, may reduce one's risk of developing esophageal adenocarcinoma. These results suggest that repurposing agents often used for common chronic conditions may be a new strategy for cancer prevention efforts. Barrett's esophagus (BE), a recognized risk factor for esophageal adenocarcinoma (EAC), is routinely managed with proton pump inhibitors (PPIs) when symptomatic. Several lines of evidence suggest that PPIs may prevent malignant transformation. Chronic use of other common drugs, namely, statins nonsteroidal anti-inflammatory drugs (NSAIDs) and metformin, may also interfere with BE carcinogenesis, but confirmatory evidence is lacking. We identified 1,943 EAC cases and 19,430 controls (matched 10:1) between 2007 and 2013 that met our specified inclusion criteria in the SEER–Medicare database. Conditional logistic regression was used to generate odds ratios (OR) and 95% confidence intervals (95% CI). Wald χ2 tests were used to assess significance of covariates. Compared with controls, EAC cases had a higher prevalence of BE (26.2%). Use of PPIs, NSAIDs, statins, or metformin reduced the odds of EAC (PPIs: 0.10; 95% CI, 0.09–0.12; NSAIDs: 0.62; 95% CI, 0.51–0.74; statins: 0.15; 95% CI, 0.13–0.17; metformin: 0.76; 95% CI, 0.62–0.93). When stratified by BE, these associations persisted, though no association was found between NSAID use and EAC risk for participants with BE. Dual use of PPIs with NSAIDs or statins, and NSAID, statin, or metformin use alone also showed significant EAC risk reduction among all participants and those without BE. Use of PPIs alone and with NSAIDs, statins, or metformin was associated with reduced risk of EAC; however, a history of BE may diminish drug efficacy. These results indicate that common pharmacologic agents alone or in combination may decrease EAC development. Prevention Relevance: The use of common drugs, such as proton pump inhibitors, statins, non-steroidal anti-inflammatory drugs, or metformin, may reduce one's risk of developing esophageal adenocarcinoma. These results suggest that repurposing agents often used for common chronic conditions may be a new strategy for cancer prevention efforts.
AUTOPHAGY-RELATED14 and Its Associated Phosphatidylinositol 3-Kinase Complex Promote Autophagy in Arabidopsis[OPEN]

Genetic analysis of the Arabidopsis VPS34 PI3K complex through the ATG14 or VPS38 subunits revealed a preferential role for ATG14 during autophagy and the widespread importance of PI3P in plants. Phosphatidylinositol 3-phosphate (PI3P) is an essential membrane signature for both autophagy and endosomal sorting that is synthesized in plants by the class III phosphatidylinositol 3-kinase (PI3K) complex, consisting of the VPS34 kinase, together with ATG6, VPS15, and either VPS38 or ATG14 as the fourth subunit. Although Arabidopsis (Arabidopsis thaliana) plants missing the three core subunits are infertile, vps38 mutants are viable but have aberrant leaf, root, and seed development, Suc sensing, and endosomal trafficking, suggesting that VPS38 and ATG14 are nonredundant. Here, we evaluated the role of ATG14 through a collection of clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 and T-DNA insertion mutants disrupting the two Arabidopsis paralogs. atg14a atg14b double mutants were relatively normal phenotypically but displayed pronounced autophagy defects, including reduced accumulation of autophagic bodies and cargo delivery during nutrient stress. Unexpectedly, homozygous atg14a atg14b vps38 triple mutants were viable but showed severely compromised rosette development and reduced fecundity, pollen germination, and autophagy, consistent with a need for both ATG14 and VPS38 to fully actuate PI3P biology. However, the triple mutants still accumulated PI3P, but they were hypersensitive to the PI3K inhibitor wortmannin, indicating that the ATG14/VPS38 component is not essential for PI3P synthesis. Collectively, the ATG14/VPS38 mutant collection now permits the study of plants altered in specific aspects of PI3P biology.