Miracle-dz/UniFAR-FTUs huggingface dataset:
T-RECS: Training for Rate-Invariant Embeddings by Controlling Speed for Action Recognition

An action should remain identifiable when modifying its speed: consider the contrast between an expert chef and a novice chef each chopping an onion. Here, we expect the novice chef to have a relatively measured and slow approach to chopping when compared to the expert. In general, the speed at which actions are performed, whether slower or faster than average, should not dictate how they are recognized. We explore the erratic behavior caused by this phenomena on state-of-the-art deep network-based methods for action recognition in terms of maximum performance and stability in recognition accuracy across a range of input video speeds. By observing the trends in these metrics and summarizing them based on expected temporal behaviour w.r. t. variations in input video speeds, we find two distinct types of network architectures. In this paper, we propose a preprocessing method named T-RECS, as a way to extend deep-network-based methods for action recognition to explicitly account for speed variability in the data. We do so by adaptively resampling the inputs to a given model. T-RECS is agnostic to the specific deep-network model; we apply it to four state-of-the-art action recognition architectures, C3D, I3D, TSN, and ConvNet+LSTM. On HMDB51 and UCF101, T-RECS-based I3D models show a peak improvement of at least 2.9% in performance over the baseline while T-RECS-based C3D models achieve a maximum improvement in stability by 59% over the baseline, on the HMDB51 dataset.
Breast Cancer Survivorship Optimizing Follow-up Care: Patients Perspectives of their Practical Needs

Breast Cancer Survivorship – Optimizing Follow-up Care: Patients’ Perspectives of their Practical Needs Breast cancer is still recognized as the most common cancer among American women with 1 in 8 women (12%) who will develop invasive breast cancer and about 39,510 women who will die from breast cancer, with 23,644 expected cases for California in 2013. Although breast cancer is the second leading cause of cancer death in women, exceeded only by lung cancer, death rates from breast cancer have rapidly declined since 1990, with larger decreases in women younger than fifty due to earlier detection, surveillance, increased awareness and improved treatment, resulting in more than 2.9 million breast cancer survivors (BCS) in the United States.
Multi-Sensor Remote Sensing of Forest Dynamics in Central Siberia

The forested regions of Siberia, Russia are vast and contain about a quarter of the world's forests that have not experienced harvesting. However, many Siberian forests are facing twin pressures of rapidly changing climate and increasing timber harvest activity. Monitoring the dynamics and mapping the structural parameters of the forest is important for understanding the causes and consequences of changes observed in these areas. Because of the inaccessibility and large extent of this forest, remote sensing data can play an important role for observing forest state and change. In Central Siberia, multi-sensor remote sensing data have been used to monitor forest disturbances and to map above-ground biomass from the Sayan Mountains in the south to the taiga-tundra boundaries in the north. Radar images from the Shuttle Imaging Radar-C (SIR-C)/XSAR mission were used for forest biomass estimation in the Sayan Mountains. Radar images from the Japanese Earth Resources Satellite-1 (JERS-1), European Remote Sensing Satellite-1 (ERS-1) and Canada's RADARSAT-1, and data from ETM+ on-board Landsat-7 were used to characterize forest disturbances from logging, fire, and insect damage in Boguchany and Priangare areas.
Resistance to 6-Methylpurine is Conferred by Defective Adenine Phosphoribosyltransferase in Tetrahymena

6-methylpurine (6mp) is a toxic analog of adenine that inhibits RNA and protein synthesis and interferes with adenine salvage mediated by adenine phosphoribosyltransferase (APRTase). Mutants of the ciliated protist Tetrahymena thermophila that are resistant to 6mp were isolated in 1974, but the mechanism of resistance has remained unknown. To investigate 6mp resistance in T. thermophila, we created 6mp-resistant strains and identified a mutation in the APRTase genomic locus (APRT1) that is responsible for 6mp resistance. While overexpression of the mutated APRT1 allele in 6mp-sensitive cells did not confer resistance to 6mp, reduced wild-type APRT1 expression resulted in a significant decrease in sensitivity to 6mp. Knocking out or reducing the expression of APRT1 by RNA interference (RNAi) did not affect robust cell growth, which indicates that adenine salvage is redundant or that de novo synthesis pathways provide sufficient adenosine monophosphate for viability. We also explored whether 6mp resistance could be used as a novel inducible selection marker by generating 6mp- and paromomycin-resistant double mutants. While 6mp- and paromomycin-resistant double mutants did express fluorescent proteins in an RNAi-based system, the system requires optimization before 6mp resistance can be used as an effective inducible selection marker.
An Introduction to the Inverted/Flipped Classroom Model in Education and Advanced Training in Medicine and in the Healthcare Professions

In describing the inverted classroom model (ICM), the following paper is meant to provide an introduction to the subject matter and to serve as a practical guide for those wishing to employ its methods in basic and advanced medical training and education. The ICM is a blended-learning method in which a self-directed learning phase (individual phase) precedes the classroom-instruction phase. During the online phase, factual knowledge is imparted that serves as a basis for the classroom phase. The classroom phase should subsequently be used to assimilate and implement the previously gained knowledge. In contrast, traditional course concepts impart factual knowledge in lectures, for example, or in other face-to-face teaching formats and are followed by the students’ self-instruction in order to assimilate this knowledge. The goal of the ICM is the shift from passive learning to accelerated learning in order to foster learning at cognitively demanding levels such as analysis, synthesis and evaluation. The concurrent increase in production and use of screencasts and educational videos, the Open Educational Resources “movement” and the widespread use of Massive Open Online Courses (MOOCS) have contributed to the increased dissemination of the inverted-classroom method. The intention of the present paper is to provide an introduction to the subject matter and simultaneously to offer a short overview of important projects and research results in the field of medical education and other health professions. Furthermore, an outline is given of the advantages and disadvantages of the model as well as its potential benefit to the future of medical education and training.
VX-509 (Decernotinib)-Mediated CYP3A Time-Dependent Inhibition: An Aldehyde Oxidase Metabolite as a Perpetrator of Drug-Drug Interactions

(R)-2-((2-(1H-pyrrolo[2,3-b]pyridin-3-yl)pyrimidin-4-yl)amino)-2-methyl-N-(2,2,2-trifluoroethyl)butanamide (VX-509, decernotinib) is an oral Janus kinase 3 inhibitor that has been studied in patients with rheumatoid arthritis. Patients with rheumatoid arthritis often receive multiple medications, such as statins and steroids, to manage the signs and symptoms of comorbidities, which increases the chances of drug-drug interactions (DDIs). Mechanism-based inhibition is a subset of time-dependent inhibition (TDI) and occurs when a molecule forms a reactive metabolite which irreversibly binds and inactivates drug-metabolizing enzymes, potentially increasing the systemic load to toxic concentrations. Traditionally, perpetrating compounds are screened using human liver microsomes (HLMs); however, this system may be inadequate when the precipitant is activated by a non–cytochrome P450 (P450)–mediated pathway. Even though studies assessing competitive inhibition and TDI using HLM suggested a low risk for CYP3A4-mediated DDI in the clinic, VX-509 increased the area under the curve of midazolam, atorvastatin, and methyl-prednisolone by approximately 12.0-, 2.7-, and 4.3-fold, respectively. Metabolite identification studies using human liver cytosol indicated that VX-509 is converted to an oxidative metabolite, which is the perpetrator of the DDIs observed in the clinic. As opposed to HLM, hepatocytes contain the full complement of drug-metabolizing enzymes and transporters and can be used to assess TDI arising from non-P450–mediated metabolic pathways. In the current study, we highlight the role of aldehyde oxidase in the formation of the hydroxyl-metabolite of VX-509, which is involved in clinically significant TDI-based DDIs and represents an additional example in which a system-dependent prediction of TDI would be evident.
Grid-Based Multipath with Congestion Avoidance Routing Protocol

— This Paper gives information about Grid base multipath wireless sensor network. We give a brief introduction about wireless sensor network, how sensor works in this network. How the Routing is done and if there is congestion detected in sensors networks and then how it can be solved. Routing protocols are also classified in several types like Proactive, Reactive, and Hybrid in also given here the details of that. Also here we describe various routing techniques like Traditional and Current techniques. In flooding based techniques, sensor broadcast the information and the destination sensor receives that information. In gossiping techniques, sensor sends information to neighbour sensor and so on. In this paper we also see that if any sensor id dies due to lack of power or any other problems then another path will be routed. Routing protocols are having 3 types Flat routing, Hierarchical routing and Location based routing. In Flat routing SPIN,DD, Rumor routing, etc protocols are used. In hierarchical routing LEACH, PEGASIS, TEEN protocols are used. Now a day LEACH and PEGASIS are widely used in cluster base Wireless Sensor Network. In leach protocol reduced the path using cluster head formulation in this method randomly any sensor make the cluster head n send messages in the network. In pegasis protocol use chaining concept and find the best path from base station to the destination station. PEGASIS and LEACH provide best routing techniques in wireless sensor network but they also have some disadvantages. We also differentiate flat and hierarchical routing techniques in which case which one gives best performances. Here we introduce the readers to Location based routing protocols GEAR and how it route the path is also briefly described here.
The association of the lipidomic profile with features of polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) affects up to 18% of reproductive-aged women with reproductive and metabolic complications. While lipidomics can identify associations between lipid species and metabolic diseases, no research has examined the association of lipid species with the pathophysiological features of PCOS. The aim of this study was to examine the lipidomic profile in women with and without PCOS. This study was a cross-sectional study in 156 age-matched pre-menopausal women (18-45 years, BMI >20 kg/m2; n = 92 with PCOS, n = 64 without PCOS). Outcomes included the association between the plasma lipidomic profile (325 lipid species (24 classes) using liquid chromatography mass spectrometry) and PCOS, adiposity, homeostasis assessment of insulin resistance (HOMA), sex hormone-binding globulin (SHBG) and free androgen index (FAI). There were no associations of the lipidomic profile with PCOS or testosterone. HOMA was positively associated with 2 classes (dihydroceramide and triacylglycerol), SHBG was inversely associated with 2 classes (diacylglycerol and triacylglycerol), FAI was positively associated with 8 classes (ceramide, phosphatidylcholine, lysophosphatidylcholine, phosphatidylethanolamine, lysophosphatidylethanolamine, phosphatidylinositol, diacylglycerol and triacylglycerol) and waist circumference was associated with 8 classes (4 positively (dihydroceramide, phosphatidylglycerol, diacylglycerol and triacylglycerol) and 4 inversely (trihexosylceramide, GM3 ganglioside, alkenylphosphatidylcholine and alkylphosphatidylethanolamine)). The lipidomic profile was primarily related to central adiposity and FAI in women with or without PCOS. This supports prior findings that adiposity is a key driver of dyslipidaemia in PCOS and highlights the need for weight management through lifestyle interventions.
Unusual Presentations of Cavotricuspid Isthmus-Dependent Right Atrial Flutter Following Robotic Bi-atrial CryoMaze Ablation for Atrial Fibrillation

Recent advances in the surgical management of atrial fibrillation (AF) include the creation of bi-atrial ablation lesion sets utilizing cryoablation techniques. These lesions sets may then serve as the substrate for re-entrant atrial tachycardias with unusual electrocardiographic appearances. We report two cases of patients with symptomatic AF and severe mitral valve (MV) regurgitation who underwent robotic MV repair with a concomitant bi-atrial CryoMaze ablation. Both patients subsequently presented with atrial tachycardias with unusual surface electrocardiographic appearances. Each patient underwent invasive electrophysiologic testing at which time cavotricuspid isthmus-dependent right atrial flutter was diagnosed and successfully ablated. Clinicians caring for patients undergoing this complex surgical procedure should be familiar with unusual manifestations of typical atrial flutter following extensive epicardial ablation. These postoperative tachycardias may be amenable to curative catheter ablation.
A 60-Gb/s 1.9-pJ/bit NRZ Optical Receiver With Low-Latency Digital CDR in 14-nm CMOS FinFET

This paper presents an analysis on the loop dynamics of the digital clock and data recovery (CDR) circuits and the design details of a non-return to zero optical receiver (RX) in a 14-nm bulk CMOS finFET technology with high jitter tolerance (JTOL) performance, which is designed based on the analysis. The digital CDR logic is designed full custom in order to keep it running at a quarter rate clock of 15 GHz at 60-Gb/s sampling speed to minimize the CDR loop latency. The RX is characterized in a vertical cavity surface emitting laser-based link recovering a 7-bit pseudo-random bit sequence bit pattern at 60 Gb/s with a JTOL corner frequency of around 80 MHz while maintaining an energy efficiency of 1.9 pJ/bit.
Low Doses of Etanercept Can Be Effective to Maintain Remission in Psoriatic Arthritis Patients

Objectives We realized a longitudinal open-label study to determine if increasing intervals between etanercept (ETN) administration could be effective in maintaining remission with a stable dose in a patient population affected by psoriatic arthritis (PsA) who had achieved sustained remission with ETN 25 mg biweekly. Methods Fifty-four PsA patients were recruited at the Rheumatology Unit of Azienda Ospedaliera Universitaria Senese. Patients, who were in clinical sustained remission with biweekly ETN 25 mg at weeks 12 and 16, and were switched to a weekly regimen. If clinical remission persists at weeks 24 and 28, patients were switched to an every-other-week regimen, continuing with this administration schedule for the entire duration of the study if at weeks 36 and 40 clinical remission was maintained. If, on the contrary, in one of the check there was an increase in disease activity, the therapeutic scheme returned to the previous one. Results The results of our study indicate that a consistent percentage (72%) of subjects with PsA, achieving a sustained remission with ETN 25 mg biweekly, maintains a remission, after a year of starting therapy, despite a progressive dose reduction by an increase in the dosing interval, 21% with a weekly regimen and 51% with an every-other-week regimen. Conclusions Our results show that the main reasons that hinder the dosing interval increase in ETN in PsA patients in sustained clinical remission at standard doses are peripheral polyarthritis pattern and exacerbation of cutaneous manifestations.
Effects of Wing Tip Shaping on Noise Generation

Geometrical shaping of wing tips leads to variations in the axial and tangential velocity components of the developing vortex. This effect is taken as basis for further analyses of a generic wing model with exchangeable tips in a wind tunnel. Flow field measurements using 3C-PIV and acoustic measurements are performed in order to indicate how changes of the wing tip shape affect noise generation caused by different flow development. High-resolution flow field measurements allow for detailed analyses of the vortex structure and distribution around the wing tip region. Furthermore, beamforming methods are used in order to localize the noise source and show the overall noise reduction potential of different wing tip shapes. The combination of PIV and acoustic measurements allows for a better understanding of underlying physical effects and correlations. Analyses of the data prove a variation of both, flow field and noise characteristics, dependent on the geometrical shape of the wing tip.
Isolation and Identification of Myxobacteria from Saline-Alkaline Soils in Xinjiang, China

Fifty-eight terrestrial and salt-tolerant myxobacteria were isolated from the saline-alkaline soils collected from Xinjiang, China. Based on the morphologies and the 16S rRNA gene sequences, these isolates were assigned into 6 genera, Myxococcus, Cystobacter, Corallococcus, Sorangium, Nannocystis and Polyangium. All the strains grew better with 1% NaCl than without NaCl. Some Myxococcus strains were able to grow at 2% NaCl concentration, suggesting that these strains may be particular type of terrestrial myxobacteria.
High-Intensity Exercise Induced Oxidative Stress and Skeletal Muscle Damage in Postpubertal Boys and Girls: A Comparative Study

Abstract Pal, S, Chaki, B, Chattopadhyay, S, and Bandyopadhyay, A. High-intensity exercise induced oxidative stress and skeletal muscle damage in post-pubertal boys and girls: a comparative study. J Strength Cond Res 32(4): 1045–1052, 2018—The purpose of this study was to examine the sex variation in high-intensity exercise induced oxidative stress and muscle damage among 44 sedentary postpubertal boys and girls through estimation of postexercise release pattern of muscle damage markers like creatine kinase, lactate dehydrogenase (LDH), alanine aminotransferase (ALT), aspartate aminotransferase (AST) and oxidative stress markers like extent of lipid peroxidation (thiobarbituric acid-reactive substances) and catalase activity. Muscle damage markers like creatine kinase, LDH, ALT, and AST were measured before, immediately after, and 24 and 48 hours after high-intensity incremental treadmill running. Oxidative stress markers like thiobarbituric acid-reactive substances and catalase activity were estimated before and immediately after the exercise. Lipid peroxidation and serum catalase activity increased significantly in both groups after exercise (p < 0.001) with postexercise values and percentage increase significantly higher in postpubertal boys as compared to girls (p < 0.001). Creatine kinase and LDH activity also increased significantly above pre-exercise level at 24 and 48 hours after exercise in both the sexes, (p < 0.001) with values significantly higher for boys than the girls (p < 0.001). Although ALT and AST increased significantly in both the groups after exercise, the pattern of postexercise release of these markers were found to be similar in both the groups. Accordingly, it has been concluded from the present investigation that high-intensity exercise induces significant oxidative stress and increases indices of skeletal muscle damage in both postpubertal girls and boys. However, postpubertal girls are relatively better protected from oxidative stress and muscle damage as compared to the boys of similar age and physical activity level. It is further evident that sex difference may not be apparent for all the biomarkers of muscle damage in this age group.
High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects

Interconnects in semiconductor integrated circuits have shrunk to nanoscale sizes. This size reduction requires accurate analysis of the quantum effects. Furthermore, improved low-resistance interconnects need to be discovered that can integrate with biological and nanoelectronic systems. Accurate system-scale simulation of these quantum effects is possible with high-performance computing (HPC), while high cost and poor feasibility of experiments also suggest the application of simulation and HPC. This chapter introduces computational nanoelectronics, presenting real-world applications for the simulation and analysis of nanoscale and molecular interconnects, which may provide the connection between molecules and silicon-based devices. We survey computational nanoelectronics of interconnects and analyze four real-world case studies: 1) using graphical processing units (GPUs) for nanoelectronic simulations; 2) HPC simulations of current flow in nanotubes; 3) resistance analysis of molecular interconnects; and 4) electron transport improvement in graphene interconnects. In conclusion, HPC simulations are promising vehicles to advance interconnects and study their interactions with molecular/ biological structures in support of traditional experimentation.
Robust person head detection based on multi-scale representation fusion of deep convolution neural network

Person head detection is still a challenge due to the large variability in heads' sizes and orientations, lighting conditions and strong occlusions. Small heads require local information contained in low level layers instead of semantic features of upper layers. But most of these fine details are lost in the early convolutional layers of the deep convolution neural networks (DCNN). In order to improve the overall detection accuracy, it is important to utilize local information from lower layers into the detection framework. In this letter, we use multi-scale representation fusion of DCNN as a way to incorporate lower layers with upper layers for detection. Our proposed model is based on the recent object detection network Single Shot MultiBox Detector (SSD). VGG16 is used as the base network. Batch normalization (BN) layers are used in our proposed multi-task learning method to accelerate training process and improve the robustness. Compared to state-of-the-art methods, our proposed detector achieves superior person head detection performance on the HollywoodHeads dataset (81.0 AP) and Casablance dataset (78.5 AP).