Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex and Weight Category Differences in Time-Motion Analysis of Elite Judo Athletes: Implications for Assessment and Training

Abstract Sterkowicz-Przybycień, K, Miarka, B, and Fukuda, DH. Sex and weight category differences in time-motion analysis of elite judo athletes: implications for assessment and training. J Strength Cond Res 31(3): 817–825, 2017—The purpose of this investigation was to support training program development through the comparison of combat and pause phases during elite male and female judo competition in athletes of varying weight categories. A total of 1,411 video recorded judo matches between athletes who qualified for the 2012 Olympic Games were analyzed. Within the matches, 111,203 competitive situations were categorized as combat (with subphases of approach, gripping, attack, defense, and groundwork) or pause phases. Time-motion analysis data were compared between extra light, light, middle, and heavyweight categories for men and women. Median times varied between sex and weight category groups for individual combat (23.9–28.5 seconds), pause (4.0–8.8 seconds), and combat subphases (p ⩽ 0.05). Sex-based differences in accumulated combat and combat subphase times were primarily found in the middleweight athletes. Heavyweight female athletes had longer accumulated groundwork and pause times, extra lightweight women had greater groundwork time, and both extra light and lightweight women had shorter accumulated attack times compared with their male counterparts. No differences between men and women were found for the time to complete an individual combat action; however, the pause phase and most of the combat subphases displayed differences. The lightest and heaviest judo athletes displayed unique characteristics compared with athletes in the other weight categories, particularly in the attack, defense, groundwork, and pause phases. These results have important implications related to training program design and support the need for the development of normative data for male and female judo athletes of varying weight categories.
The regional and diurnal variability of the vertical structure of precipitation systems in Africa, based on TRMM precipitation radar data

Spaceborne rainfall estimation, usually guided by raingauge data and also NWP output, has evolved dramatically over the last two decades (e.g. Huffman et al 1997). This is particularly important in Africa where large parts have a poor raingauge record (e.g. Lebel and Amani 1999). Spaceborne techniques have been developed based on IR brightness temperatures (e.g. Vicente et al 1996), multi-frequency passive microwave radiances (e.g. Kummerow and Giglio 1994), and 14 GHz radar reflectivities (e.g. Ferreira et al 2001). Often a combination of these is used to benefit from specific strengths, e.g. IR-based techniques using geostationary satellite data can be used continuously, day and night. Obviously IR-based techniques are much inferior to radar-based techniques, in principle at least, because the anvil of large convective systems is much larger than the radar echoes underneath, and the its topography is more uniform. But large differences exist even between passive microwave and radar-based rainfall estimates, both on instantaneous and cumulative bases (Kummerow et al 2000). Much of the uncertainty appears to be related to differences in vertical structure of precipitation systems, specifically their depth and convective/stratiform nature (Masunaga et al 2002). An understanding of the vertical structure of precipitating systems is important, especially in the tropics, not just because it implies differences in surface rainfall, but also because it has implications for the global atmospheric circulation. Different reflectivity profiles imply differences in latent heating profiles, and differences in the convective fraction. The convective-stratiform distinction is important because of differences in Z-R relationships (e.g. Steiner and Houze 1997), which affects not only the radar-based rainfall estimation, but also the latent heat release profile, and hence the energy balance of the tropical atmosphere. The vertical structure of precipitation systems can be studied by means of reflectivity profiles derived from the Precipitation Radar (PR) aboard the Tropical Rainfall Measurement Mission (TRMM) satellite, launched in late 1997(Kummerow et al 2000). One surprising discovery yielded by TRMM data is that the Congo Basin, as compared to the Amazon Basin, has deeper storms, a higher reflectivity above the freezing level in storms (e.g. at 7 km), a stronger 85 GHz ice scattering signature, and also more lightning activity (Boccippio et al 2000, Peterson and Rutledge 2001, Toracinta et al 2002).
Latent Attribute Inference of Users in Social Media with Very Small Labeled Dataset

SUMMARY With the surge of social media platform, users’ proﬁle information become treasure to enhance social network services. However, attributes information of most users are not complete, thus it is important to infer latent attributes of users. Contemporary attribute inference methods have a basic assumption that there are enough labeled data to train a model. However, in social media, it is very expensive and di ﬃ cult to label a large amount of data. In this paper, we study the latent attribute inference problem with very small labeled data and propose the SRW-COND solution. In order to solve the di ﬃ culty of small labeled data, SRW-COND ﬁrstly extends labeled data with a simple but e ﬀ ective greedy algorithm. Then SRW-COND employs a supervised random walk process to e ﬀ ectively utilize the known attributes information and link structure of users. Experiments on two real datasets illustrate the e ﬀ ectiveness of SRW-COND.
Improving risk-adjusted performance in high-frequency trading: the role of fuzzy logic systems

In recent years, algorithmic and high-frequency trading have been the subject of increasing risk concerns. A general theme that we adopt in this thesis is that trading practitioners are predominantly interested in risk-adjusted performance. Likewise, regulators are demanding stricter risk controls. First, we scrutinise conventional AI model design approaches with the aim to increase the risk-adjusted trading performance of the proposed fuzzy logic models. We show that applying risk-return objective functions and accounting for transaction costs improve out-of-sample results. Our experiments identify that neuro-fuzzy models exhibit superior performance stability across multiple risk regimes when compared to popular neural network models identified in AI literature. Moreover, we propose an innovative ensemble model approach which combines multiple risk-adjusted objective functions and dynamically adapts risk- tolerance according to time-varying risk. Next, we extend our findings to the money management aspects of trading algorithms. We introduce an effective fuzzy logic approach which dynamically discriminates across different regions in the trend and volatility space. The model prioritises higher performing regions at an intraday level and adapts capital allocation policies with the objective to maximise global risk-adjusted performance. Finally, we explore trading improvements that can be attained by advancing our type-1 fuzzy logic ideas to higher order fuzzy systems in view of the increased noise (uncertainty) that is inherent in high-frequency data. We propose an innovative approach to design type-2 models with minimal increase in design and computational complexity. As a further step, we identify a relationship between the increased trading performance benefits of the proposed type-2 model and higher levels of trading frequencies. In conclusion, this thesis sets a framework for practitioners, researchers and regulators in the design of fuzzy logic systems for better management of risk in the field of algorithmic and high-frequency trading.
Structure and chromosome location of Smtn, the mouse smoothelin gene

Smoothelins are cytoskeleton-associated proteins that are found in contractile smooth muscle. Two isoforms have been identified: smoothelin-A, expressed in visceral tissues and smoothelin-B, found in vascular tissues. The mouse smoothelin gene (Smtn) was isolated and characterized. It was assigned to chromosome 11 band A2–A3 by fluorescence in situ hybridization. The gene consists of 20 exons and spans 23 kb. Its structure is conserved between mouse and human. The proximal promoter of both smoothelin-A and smoothelin-B contains several transcription factor-binding sites but lacks a consensus TATA box.
Transparent and flexible high-performance supercapacitors based on single-walled carbon nanotube films

Transparent and flexible energy storage devices have garnered great interest due to their suitability for display, sensor and photovoltaic applications. In this paper, we report the application of aerosol synthesized and dry deposited single-walled carbon nanotube (SWCNT) thin films as electrodes for an electrochemical double-layer capacitor (EDLC). SWCNT films exhibit extremely large specific capacitance (178 F g−1 or 552 μF cm−2), high optical transparency (92%) and stability for 10 000 charge/discharge cycles. A transparent and flexible EDLC prototype is constructed with a polyethylene casing and a gel electrolyte.
NO mediates microglial response to acute spinal cord injury under ATP control in vivo

To understand the pathomechanisms of spinal cord injuries will be a prerequisite to develop efficient therapies. By investigating acute lesions of spinal cord white matter in anesthetized mice with fluorescently labeled microglia and axons using in vivo two‐photon laser‐scanning microscopy (2P‐LSM), we identified the messenger nitric oxide (NO) as a modulator of injury‐activated microglia. Local tissue damages evoked by high‐power laser pulses provoked an immediate attraction of microglial processes. Spinal superfusion with NO synthase and guanylate cyclase inhibitors blocked these extensions. Furthermore, local injection of the NO‐donor spermine NONOate (SPNO) or the NO‐dependent second messenger cGMP induced efficient migration of microglial cells toward the injection site. High‐tissue levels of NO, achieved by uniform superfusion with SPNO and mimicking extended tissue damage, resulted in a fast conversion of the microglial shape from ramified to ameboid indicating cellular activation. When the spinal white matter was preconditioned by increased, ambient ATP (known as a microglial chemoattractant) levels, the attraction of microglial processes to local NO release was augmented, whereas it was abolished at low levels of tissue ATP. Because both signaling molecules, NO and ATP, mediate acute microglial reactions, coordinated pharmacological targeting of NO and purinergic pathways will be an effective mean to influence the innate immune processes after spinal cord injury. © 2010 Wiley‐Liss, Inc.
A beamwidth modified model for calculation of reflected level of quiet zone in anechoic chamber

In calculation of reflected level of quiet zone in anechoic chamber, a spot emission model is often used to simulate antennas' characteristic. The model is useful in low frequency and not in microwave frequency because microwave antennas are of sharper directivity. In this paper, a new emission model, which can be used in microwave frequency, has been derived from Fresnel-Kirchhoff diffraction formulation. It has been demonstrated that new model is more appropriate to actualities than spot model.
Integrating electronic health record genotype and phenotype datasets to transform patient care

The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 mandates the development and implementation of electronic health record (EHR) systems across the country. While a primary goal is to improve the care of individual patients, EHRs are also key enabling resources for a vision of individualized (or personalized or precision) medicine: the aggregation of multiple EHRs within or across healthcare systems should allow discovery of patient subsets that have unusual and definable clinical trajectories that deviate importantly from the expected response in a “typical” patient. The spectrum of such personalized care can then extend from prevention to choice of medication to intensity or nature of follow‐up.
Transforming Growth Factor Beta Regulates Proliferation and Invasion of Rat Placental Cell Lines1

Implantation of an embryo in the endometrium is a critical step for continuation of pregnancy, and implantation failure is a major cause of infertility. In rats, the implantation process involves invasion of the endometrial epithelial lining by the trophoblastic cells in order to reach the underlying stromal cells. Transforming growth factor beta (TGFB) is a multifunctional cytokine that regulates proliferation, differentiation, and invasiveness of multiple cell lineages. We used rat HRP-1 and RCHO-1 placental cell lines to perform this study. HRP-1 cells were derived from midgestation chorioallantoic placental explants of the outbred Holtzman rat, whereas RCHO-1 cells were established from a rat choriocarcinoma. MTT proliferation assays revealed that each TGFB isoform decreased HRP-1 cell growth in a dose-dependent manner, whereas RCHO-1 cells were resistant to the growth-suppressive effect of TGFB1 and TGFB3. Only TGFB2 reduced RCHO-1 cell proliferation. Activation of ERK, MAPK14 (p38 MAPK), or SMAD pathways is known to play a role in cell proliferation, and we found that TGFB activates these pathways in both HRP-1 and RCHO-1 cells in an isoform-specific manner. MTT proliferation assays revealed that ERK pathway is partially implicated in TGFB3-reduced HRP-1 cell proliferation. Hoechst nuclear staining and caspase-3 cleavage demonstrated that TGFB isoforms failed to induce apoptosis in both cell lines. Matrigel invasion assays showed that both HRP-1 and RCHO-1 cells exhibit intrinsic invasive ability under untreated conditions. The capacity of HRP-1 cells to invade the Matrigel was selectively increased by TGFB2 and TGFB3, whereas all TGFB isoforms could increase the invasiveness of RCHO-1 cells. These important functional studies progressively reveal a key role for TGFB in regulating proliferation and invasiveness of placental cells.
LPV models: Identification for gain scheduling control

In this paper the use of discrete-time Linear Parameter Varying (LPV) models for the gain scheduling control and identification methods for non-linear or time-varying system is considered. We report an overview on the existing literature on LPV systems for gain scheduling control and identification. Moreover, assuming that inputs, outputs and the scheduling parameters are measured, and a form of the functional dependence of the coefficients on the parameters is known, we show how the identification problem can be reduced to a linear regression so that a Least Mean Square and Recursive Least Square identification algorithm can be reformulated. Our methodology is applied for the identification of the LPV model of the stall and surge control for compressors of jet engines.
FPGA-based implementation of optical flow algorithm

In this paper, we describe an FPGA implementation of the optical flow (OF) algorithm for real time estimation of moving objects from a video sequence. Lucas-Kanade (LK) approach has been chosen to meet the real time and hardware resource constraints. In our approach, to allow accurate calculation, we adopt a high level synthesis approach to increase the accuracy of the system and to more deal with fixed-point precision. Hardware designs of the architectures are performed using Xilinx System Generator from Xilinx (XSG) and Modelsim tools. The proposed architecture is validated by a hardware co-simulation.
Cutting Edge: Direct Interaction of TLR4 with NAD(P)H Oxidase 4 Isozyme Is Essential for Lipopolysaccharide-Induced Production of Reactive Oxygen Species and Activation of NF-κB1

LPS, the primary constituent of the outer membrane of Gram-negative bacteria, is recognized by TLR4. Binding of TLR4 to LPS triggers various cell signaling pathways including NF-κB activation and reactive oxygen species (ROS) production. In this study, we present the data that LPS-induced ROS generation and NF-κB activation are mediated by a direct interaction of TLR4 with (NAD(P)H oxidase 4 (Nox) 4), a protein related to gp91phox (Nox2) of phagocytic cells, in HEK293T cells. Yeast two hybrid and GST pull-down assays indicated that the COOH-terminal region of Nox4 interacted with the cytoplasmic tail of TLR4. Knockdown of Nox4 by transfection of small interference RNA specific to the Nox4 isozyme in HEK293T cells expressing TLR4 along with MD2 and CD14 resulted in inhibition of LPS-induced ROS generation and NF-κB activation. Taken together, these results indicate that direct interaction of TLR4 with Nox4 is involved in LPS-mediated ROS generation and NF-κB activation.
Use of anterior segment optical coherence tomography to predict corneal graft rejection in small animal models.

PURPOSE To correlate the degree of anterior chamber (AC) inflammation and corneal thickness evaluated by anterior segment optical coherence tomography (ASOCT) with corneal graft rejection status and to explore the value of ASOCT in assisting the diagnosis or prediction of graft rejection using a rat penetrating keratoplasty (PK) model. METHODS A total of 40 PKs were performed using Fisher rats (allogeneic groups) and Lewis rats (syngeneic group) as donors and Lewis rats as recipients: isograft control group (n=10), allograft untreated group (n=10), and allograft with 1% prednisolone acetate treatment group (n=20). All the grafts were evaluated for 28 days by a scoring rejection index (RI) to assess the graft opacity, edema, and neovascularization using slit lamp biomicroscopy. The AC inflammation and corneal graft thickness were assessed using ASOCT. RESULTS All the allogeneic control grafts and four of the 20 allogeneic steroid-treated grafts developed rejection episodes. In the allogeneic treated group, the rejected grafts had a significantly higher mean AC inflammation grade at 1 week (grade 3.25±0.49 vs. 1.83±0.36, P<0.001), significantly thicker central graft thickness at 2 weeks (455.25±42.42 μm vs. 381.247±12.51 μm, P=0.047), and a significantly higher RI at 4 weeks (7.75±0.63 vs. 4.60±0.13, P<0.001) compared to the nonrejected grafts. Eyes with ≥grade 3 AC inflammation at 1 week, or with ≥400 μm central graft thickness at 2 weeks, were significantly associated with graft rejection (odds ratio [OR], 15.15, P=0.009, and OR, 9.75, P=0.014, respectively). CONCLUSIONS The use of ASOCT to evaluate AC inflammation and corneal thickness aids in the early evaluation and diagnosis of graft rejection in animal models. Early increased AC inflammation was an early predictor of graft failure prior to definitive clinical evaluation.
The Pyrimidine Nucleotide Reductase Step in Riboflavin and F420 Biosynthesis in Archaea Proceeds by the Eukaryotic Route to Riboflavin

ABSTRACT The Methanococcus jannaschii gene MJ0671 was cloned and overexpressed in Escherichia coli, and its gene product was tested for its ability to catalyze the pyridine nucleotide-dependent reduction of either 2,5-diamino-6-ribosylamino-4(3H)-pyrimidinone 5′-phosphate (compound 3) to 2,5-diamino-6-ribitylamino-4(3H)-pyrimidinone 5′-phosphate (compound 4) or 5-amino-6-ribosylamino-2,4(1H,3H)-pyrimidinedione 5′-phosphate (compound 7) to 5-amino-6-ribitylamino-2,4(1H,3H)-pyrimidinedione 5′-phosphate (compound 5). Only compound 3 was found to serve as a substrate for the enzyme. NADPH and NADH functioned equally well as the reductants. This specificity for the reduction of compound 3 was also confirmed by using cell extracts of M. jannaschii and Methanosarcina thermophila. Thus, this step in riboflavin biosynthesis in these archaea is the same as that found in yeasts. The absence of the other genes in the biosynthesis of riboflavin in Archaea is discussed.
Unconditional Exact Tests for Equivalence or Noninferiority for Paired Binary Endpoints

Summary. Problems of establishing equivalence or noninferiority between two medical diagnostic procedures involve comparisons of the response rates between correlated proportions. When the sample size is small, the asymptotic tests may not be reliable. This article proposes an unconditional exact test procedure to assess equivalence or noninferiority. Two statistics, a sample‐based test statistic and a restricted maximum likelihood estimation (RMLE)‐based test statistic, to define the rejection region of the exact test are considered. We show the p‐value of the proposed unconditional exact tests can be attained at the boundary point of the null hypothesis. Assessment of equivalence is often based on a comparison of the confidence limits with the equivalence limits. We also derive the unconditional exact confidence intervals on the difference of the two proportion means for the two test statistics. A typical data set of comparing two diagnostic procedures is analyzed using the proposed unconditional exact and asymptotic methods. The p‐value from the unconditional exact tests is generally larger than the p‐value from the asymptotic tests. In other words, an exact confidence interval is generally wider than the confidence interval obtained from an asymptotic test.
Wnt / b-catenin signalling induces MLL to create epigenetic changes in salivary gland tumours

Peter Wend, Liang Fang, Qionghua Zhu, Jörg H Schipper, Christoph Loddenkemper, Frauke Kosel, Volker Brinkmann, Klaus Eckert, Simone Hindersin, Jane D Holland, Stephan Lehr, Michael Kahn, Ulrike Ziebold and Walter Birchmeier* Max-Delbrueck Center for Molecular Medicine, Berlin, Germany, Department of Otorhinolaryngology, University Hospital Düsseldorf, Düsseldorf, Germany, Institute of Pathology, Charité-UKBF, Berlin, Germany, Max Planck Institute for Infection Biology, Berlin, Germany, Baxter Innovations GmbH, Vienna, Austria and Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
A flip-chip GaAs power FET with gate and drain via connections

A new microwave device format that combines flip-chip mounting and via-connection technologies is described. This approach avoids many of the compromises that are inherent in conventional microwave monolithic circuits and will be particularly important in power applications. This letter reviews the rationale for this device format and describes a new method of forming via connections through thick semi-insulating substrates using laser drilling. Preliminary discrete GaAs FET's have been fabricated and results have been obtained through 18 GHz. At 12 GHz, an output power of 308 mW, a 28-percent power-added efficiency, and a 4.5-dB gain have been achieved with a 0.6- mm-wide GaAs FET. Efficiencies as high as 31 percent were achieved with these preliminary devices.