Miracle-dz/UniFAR-FTUs huggingface dataset:
Knee and ankle joint stiffness in sprint running.

INTRODUCTION Stiffness has often been considered as a regulated property of the neuromuscular system. The purpose of this study was to examine the ankle and knee joint stiffness regulation during sprint running. METHODS Ten male sprinters ran at the constant relative speeds of 70, 80, 90, and 100% over a force platform, and ground reaction forces, kinematic, and EMG parameters were collected. RESULTS The results indicated that with increasing running speed the average joint stiffness (change in joint moment divided by change in joint angle) was constant (7 N x m x deg(-1)) in the ankle joint and increased from 17 to 24 N x m x deg(-1) (P < 0.01) in the knee joint. CONCLUSION The observed constant ankle joint stiffness may depend on (constant) tendon stiffness because of its dominating role in triceps surae muscle-tendon unit. Thus, we conclude that in sprint running the spring-like behavior of the leg might be adjusted by changing the stiffness of the knee joint. However, in complicated motor task, such as sprint running, ankle and knee joint stiffness might be controlled by the individual mechanical and neural properties.
Mining Big Data Using Parsimonious Factor, Machine Learning, Variable Selection and Shrinkage Methods

A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using “big data” (see Bai and Ng, 2008; Dufour and Stevanovic, 2010; Forni, Hallin, Lippi, & Reichlin, 2000; Forni et al., 2005; Kim and Swanson, 2014a; Stock and Watson, 2002b, 2006, 2012, and the references cited therein). We add to this literature by analyzing whether “big data” are useful for modelling low frequency macroeconomic variables, such as unemployment, inflation and GDP. In particular, we analyze the predictive benefits associated with the use of principal component analysis (PCA), independent component analysis (ICA), and sparse principal component analysis (SPCA). We also evaluate machine learning, variable selection and shrinkage methods, including bagging, boosting, ridge regression, least angle regression, the elastic net, and the non-negative garotte. Our approach is to carry out a forecasting “horse-race” using prediction models that are constructed based on a variety of model specification approaches, factor estimation methods, and data windowing methods, in the context of predicting 11 macroeconomic variables that are relevant to monetary policy assessment. In many instances, we find that various of our benchmark models, including autoregressive (AR) models, AR models with exogenous variables, and (Bayesian) model averaging, do not dominate specifications based on factor-type dimension reduction combined with various machine learning, variable selection, and shrinkage methods (called “combination” models). We find that forecast combination methods are mean square forecast error (MSFE) “best” for only three variables out of 11 for a forecast horizon of h=1, and for four variables when h=3 or 12. In addition, non-PCA type factor estimation methods yield MSFE-best predictions for nine variables out of 11 for h=1, although PCA dominates at longer horizons. Interestingly, we also find evidence of the usefulness of combination models for approximately half of our variables when h>1. Most importantly, we present strong new evidence of the usefulness of factor-based dimension reduction when utilizing “big data” for macroeconometric forecasting.
DNA barcoding reveals that injected transgenes are predominantly processed by homologous recombination in mouse zygote

Mechanisms that ensure repair of double-stranded DNA breaks play a key role in the integration of foreign DNA into the genome of transgenic organisms. After pronuclear microinjection, exogenous DNA is usually found in the form of concatemer consisting of multiple co-integrated transgene copies. Here we investigated contribution of various DSB repair pathways to the concatemer formation. We injected a pool of linear DNA molecules carrying unique barcodes at both ends into mouse zygotes and obtained 10 transgenic embryos with transgene copy number ranging from 1 to 300 copies. Sequencing of the barcodes allowed us to assign relative positions to the copies in concatemers and to detect recombination events that happened during integration. Cumulative analysis of approximately 1000 integrated copies revealed that more than 80% of copies underwent recombination when their linear ends were processed by SDSA or DSBR. We also observed evidence of double Holliday junction (dHJ) formation and crossing-over during the formation of concatemers. Additionally, sequencing of indels between copies showed that at least 10% of the DNA molecules introduced into the zygote are ligated by non-homologous end joining (NHEJ). Our barcoding approach documents high activity of homologous recombination after exogenous DNA injection in mouse zygote.
Reduced complexity estimation for large scale hidden Markov models

In this paper, we address the problem of reduced-complexity estimation of general large-scale hidden Markov models with underlying nearly completely decomposable discrete-time Markov chains and finite-state outputs. An algorithm is presented that computes O(ε) (where e is the related weak coupling parameter) approximations to the aggregate and full-order filtered estimates with substantial computational savings. These savings are shown to be quite large when the chains have blocks with small individual dimensions. Some simulation studies are presented to demonstrate the performance of the algorithm.
Cancer incidence and survival following bereavement.

OBJECTIVES This study investigated the effect of parental bereavement on cancer incidence and survival. METHODS A cohort of 6284 Jewish Israelis who lost an adult son in the Yom Kippur War or in an accident between 1970 and 1977 was followed for 20 years. We compared the incidence of cancer in this cohort with that among nonbereaved members of the population by logistic regression analysis. The survival of bereaved parents with cancer was compared with that of matched controls with cancer. RESULTS Increased incidence was found for lymphatic and hematopoietic malignancies among the parents of accident victims (odds ratio [OR] = 2.01; 95% confidence interval [CI] = 1.30, 3.11) and among war-bereaved parents (OR = 1.47; 95% CI = 1.13, 1.92), as well as for melanomas (OR = 4.62 [95% CI = 1.93, 11.06] and 1.71 [95% CI = 1.06, 2.76], respectively). Accident-bereaved parents also had an increased risk of respiratory cancer (OR = 1.50; 95% CI = 1.07, 2.11). The survival study showed that the risk of death was increased by bereavement if the cancer had been diagnosed before the loss, but not after. CONCLUSIONS This study showed an effect of stress on the incidence of malignancies for selected sites and accelerated demise among parents bereaved following a diagnosis of cancer, but not among those bereaved before such a diagnosis.
Transcriptome and Selected Metabolite Analyses Reveal Multiple Points of Ethylene Control during Tomato Fruit Developmentw⃞

Transcriptome profiling via cDNA microarray analysis identified 869 genes that are differentially expressed in developing tomato (Solanum lycopersicum) pericarp. Parallel phenotypic and targeted metabolite comparisons were employed to inform the expression analysis. Transcript accumulation in tomato fruit was observed to be extensively coordinated and often completely dependent on ethylene. Mutation of an ethylene receptor (Never-ripe [Nr]), which reduces ethylene sensitivity and inhibits ripening, alters the expression of 37% of these 869 genes. Nr also influences fruit morphology, seed number, ascorbate accumulation, carotenoid biosynthesis, ethylene evolution, and the expression of many genes during fruit maturation, indicating that ethylene governs multiple aspects of development both prior to and during fruit ripening in tomato. Of the 869 genes identified, 628 share homology (E-value ≤1 × 10−10) with known gene products or known protein domains. Of these 628 loci, 72 share homology with previously described signal transduction or transcription factors, suggesting complex regulatory control. These results demonstrate multiple points of ethylene regulatory control during tomato fruit development and provide new insights into the molecular basis of ethylene-mediated ripening.
Evolution of Pre- and Postconvective Environmental Profiles from Mesoscale Convective Systems during PECAN

During the Plains Elevated Convection at Night (PECAN) field campaign, 15 mesoscale convective system (MCS) environments were sampled by an array of instruments including radiosondes launched by three mobile sounding teams. Additional soundings were collected by fixed and mobile PECAN integrated sounding array (PISA) groups for a number of cases. Cluster analysis of observed vertical profiles established three primary preconvective categories: 1) those with an elevated maximum in equivalent potential temperature below a layer of potential instability; 2) those that maintain a daytime-like planetary boundary layer (PBL) and nearly potentially neutral low levels, sometimes even well after sunset despite the existence of a southerly low-level wind maximum; and 3) those that are potentially neutral at low levels, but have very weak or no southerly low-level winds. Profiles of equivalent potential temperature in elevated instability cases tend to evolve rapidly in time, while cases in the potentially neutral categories do not. Analysis of composite Rapid Refresh (RAP) environments indicate greater moisture content and moisture advection in an elevated layer in the elevated instability cases than in their potentially neutral counterparts. Postconvective soundings demonstrate significantly more variability, but cold pools were observed in nearly every PECAN MCS case. Following convection, perturbations range between −1.9 and −9.1 K over depths between 150 m and 4.35 km, but stronger, deeper stable layers lead to structures where the largest cold pool temperature perturbation is observed above the surface.
Incidence of and Risk Factors for Mastoiditis after Intensity Modulated Radiotherapy in Nasopharyngeal Carcinoma

Purpose To report the incidence of and risk factors for mastoiditis after intensity-modulated radiotherapy (IMRT) in nasopharyngeal carcinoma (NPC). Patients and Methods Retrospective analysis of pretreatment and follow-up magnetic resonance imaging (MRI) data for 451 patients with NPC treated with IMRT at a single institution. The diagnosis of mastoiditis was based on MRI; otomastoid opacification was rated as Grade 0 (none), 1 (mild), 2 (moderate) or 3 (severe) by radiologists blinded to clinical outcome. This study mainly focused on severe mastoiditis; patients were divided into three groups: the G0M (Grade 0 mastoiditis before treatment) group, G1-2M (Grade 1 to 2 mastoiditis before treatment) group and G3M (Grade 3 mastoiditis before treatment) group. The software SAS9.3 program was used to analyze the data. Results For the entire cohort, the incidence of Grade 3 mastoiditis was 20% before treatment and 31%, 19% and 17% at 3, 12 and 24 months after radiotherapy, respectively. In the G0M group, the incidence of severe mastoiditis was 0% before treatment and 23%, 15% and 13% at 3, 12 and 24 months after radiotherapy, respectively. Multivariate analysis revealed T category (OR=0.68, 95% CI = 0.469 to 0.984), time (OR=0.668, 95% CI = 0.59 to 0.757) and chemotherapy (OR=0.598, 95% CI = 0.343 to 0.934) were independent factors associated with severe mastoiditis in the G0M group after treatment. Conclusions Mastoiditis, as diagnosed by MRI, occurs as a progressive process that regresses and resolves over time in patients with NPC treated using IMRT.
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

In this paper, we present a patch-based land use and land cover classification approach using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessible, and are provided in the earth observation program Copernicus. We present a novel dataset, based on these images that covers 13 spectral bands and is comprised of ten classes with a total of 27 000 labeled and geo-referenced images. Benchmarks are provided for this novel dataset with its spectral bands using state-of-the-art deep convolutional neural networks. An overall classification accuracy of 98.57% was achieved with the proposed novel dataset. The resulting classification system opens a gate toward a number of earth observation applications. We demonstrate how this classification system can be used for detecting land use and land cover changes, and how it can assist in improving geographical maps. The geo-referenced dataset EuroSAT is made publicly available at https://github.com/phelber/eurosat.
A Spoke-Type IPM Machine With Novel Alternate Airspace Barriers and Reduction of Unipolar Leakage Flux by Step-Staggered Rotor

This paper proposes a spoke-type interior permanent magnet (IPM) machine with novel alternate airspace barriers, through which higher torque capability and better manufacturability can be obtained, without remarkable deterioration in mechanical strength. Further, the influence of end leakage flux in the novel IPM design is investigated by three-dimensional finite element method, including the leakage flux characteristics and torque capability. Furthermore, a step-staggered rotor is proposed to reduce the unipolar leakage flux and magnetization of the end shaft. As an extension, unipolar leakage flux is further investigated in consequent-pole PM machines, as well as the validity of step-staggered method. Finally, prototypes are fabricated and tested to verify the foregoing analyses, including the magnetic field at the end shaft and the output capability.
Five-year outcomes of laparoscopic adjustable gastric banding and laparoscopic Roux-en-Y gastric bypass in a comprehensive bariatric surgery program in Canada.

BACKGROUND Bariatric surgery remains the most effective modality to induce sustainable weight loss in the morbidly obese. Our aim was to compare outcomes between the laparoscopic Roux-en-Y gastric bypass (LRYGBP) and the laparoscopic adjustable gastric banding device (LAGBD) method with 5-year follow-up in a Canadian bariatric surgery centre. METHODS This is a retrospective outcomes analysis of 1035 laparoscopic bariatric procedures performed over 7 years. We extracted data from our prospectively collected bariatric surgery registry from Feb. 1, 2002, to Jun. 30, 2008. We evaluated patient demographics, weight loss, complications, mortality and need for revision surgery by procedure type. RESULTS We examined outcomes in 149 (14.4%) LAGBD and 886 (85.6%) LRYGBP procedures. The mean body mass index (BMI) was significantly higher in the LRYGBP group (50.9, standard deviation [SD] 8.9, v. 45.0, SD 6.7) whereas age and sex ratio were the same. There were 3 deaths (0.3%) in the LRYGBP group and no deaths in the LAGBD group. Sixteen patients (10.8%) in the LAGBD group needed conversion to LRYGBP because of poor weight loss, band intolerance, band erosion or slippage, and 6 patients (0.7%) in the LRYGBP group required revision because of inability to achieve the desired weight loss. The percent excess-weight loss was 41, 49, 59, 60 and 61 at 1, 2, 3, 4 and 5 years postsurgery for the LAGBD patients who kept their band, and 70, 79, 79, 79 and 75 for the LRYGBP patients. CONCLUSION Laparoscopic weight loss surgery can be performed safely with acceptable mortality. Our study suggests superior weight loss and low revision requirement for the LRYGBP, making this a more durable procedure in a publicly funded health care system.
In vitro activity of isavuconazole against Trichosporon, Rhodotorula, Geotrichum, Saccharomyces and Pichia species.

OBJECTIVES The emergence of less common, but clinically important, fungal pathogens including the rare yeasts has contributed to the substantial morbidity and mortality observed in immunocompromised patients. These organisms can be resistant or refractory to existing antifungal agents. We sought to evaluate the activity of the new triazole isavuconazole against these difficult pathogens. METHODS MICs of isavuconazole, voriconazole, posaconazole, fluconazole, amphotericin B and flucytosine were determined for 54 Trichosporon, 7 Geotrichum capitatum, 18 Saccharomyces cerevisiae, 11 Pichia and 14 Rhodotorula species in accordance with the M27-A2 reference method. Minimum fungicidal concentrations were also measured for each agent. RESULTS Isavuconazole demonstrated excellent in vitro activity against each species tested. MIC(90) values ranged between 0.125 and 0.25 mg/L against Trichosporon isolates, and between 0.03 and 0.5 mg/L against the other yeast tested. The geometric mean MICs of isavuconazole were similar to those of voriconazole and similar or less than those of posaconazole, fluconazole, amphotericin B and flucytosine for all species tested. This activity was also maintained against one Trichosporon asahii and nine Rhodotorula isolates that were resistant to fluconazole. CONCLUSIONS Isavuconazole is a welcome addition to the growing antifungal armamentarium with potent in vitro activity against emerging yeast pathogens. Although this agent may be useful in the treatment of the rare yeasts, clinical data are needed to verify these results.
Fault Diagnosis with Static and Dynamic Observers

We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in the plant as soon as possible after their occurrence. Existing literature on this problem has considered the case of fixed static observers, where the set of observable events is fixed and does not change during execution of the system. In this paper, we consider static observers where the set of observable events is not fixed, but needs to be optimized (e.g., minimized in size). We also consider dynamic observers, where the observer can "switch" sensors on or off, thus dynamically changing the set of events it wishes to observe. It is known that checking diagnosability (i.e., whether a given observer is capable of identifying faults) can be solved in polynomial time for static observers, and we show that the same is true for dynamic ones. On the other hand, minimizing the number of (static) observable events required to achieve diagnosability is NP-complete. We show that this is true also in the case of mask-based observation, where some events are observable but not distinguishable. For dynamic observers' synthesis, we prove that amost permissive finite-state observer can be computed in doubly exponential time, using a game-theoretic approach. We further investigate optimization problems for dynamic observers and define a notion of cost of an observer. We show how to compute an optimal observer using results on mean-payoff games by Zwick and Paterson.
Adipokines, Biomarkers of Endothelial Activation, and Metabolic Syndrome in Patients with Ankylosing Spondylitis

Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease associated with accelerated atherosclerosis and increased risk of cardiovascular (CV) disease. AS patients also display a high prevalence of features clustered under the name of metabolic syndrome (MeS). Anti-TNF-α therapy was found to be effective to treat AS patients by suppressing inflammation and also improving endothelial function. Previously, it was demonstrated that a short infusion of anti-TNF-α monoclonal antibodyinfliximab induced a rapid and dramatic reduction in serum insulin levels and insulin resistance along with a rapid improvement of insulin sensitivity in nondiabetic AS patients. The role of adipokines, MeS-related biomarkers and biomarkers of endothelial cell activation and inflammation seem to be relevant in different chronic inflammatory diseases. However, its implication in AS has not been fully established. Therefore, in this review we summarize the recent advances in the study of the involvement of these molecules in CV disease or MeS in AS. The assessment of adipokines and biomarkers of endothelial cell activation and MeS may be of potential relevance in the stratification of the CV risk of patients with AS.
Losing Opportunism: Evaluating Service Integration in an Opportunistic Wireless System

In this paper we evaluate interactions among flow-level performance metrics when integrating QoS and best effort flows in a wireless system using opportunistic scheduling. We introduce a simple flow-level model capturing the salient features of bandwidth sharing for an opportunistic scheduler which ensures a mean throughput to each QoS stream for every time slot. We then explore the flow-level performance showing that integration of QoS and best effort flows results in loss in opportunism, which in turn results in a reduction of the stability region, degradation in system throughput, and increased file transfer delay. These losses are shown to be proportional to opportunistic gains, the guaranteed bandwidth and number of QoS flows, but inversely proportional to SNR under a Rayleigh fading channel model. In an integrated system exploiting opportunism, local instability appears to be more severe than in wired networks and average delays experienced by best effort flows are prolonged. We suggest that a form of admission control for best effort flows is necessary to avoid local instability, and ensure adequate performance.
Concomitant Recruitment of ERK1/2 and p38 MAPK Signalling Pathway Is Required for Activation of Cytoplasmic Phospholipase A2via ATP in Articular Chondrocytes*

Extracellular ATP is a pro-inflammatory mediator involved in the release of prostaglandin from articular chondrocytes, but little is known about its effects on intracellular signaling. ATP triggered the rapid release of prostaglandin E2(PGE2) by acting on P2Y2 receptors in rabbit articular chondrocytes. We have explored the signaling events involved in this synthesis. ATP significantly increased arachidonic acid production, which involved the activation of the 85-kDa cytosolic phospholipase A2 (cPLA2) but not a secreted form of PLA2, as demonstrated by various PLA2 inhibitors and translocation experiments. We also showed that ATP induced the phosphorylation of p38 and ERK1/2 mitogen-activated-protein kinases (MAPKs). Both PD98059, an inhibitor of the ERK pathway, and SB203580, an inhibitor of p38 MAPK, completely inhibited the ATP-induced release of PGE2. Finally, dominant-negative plasmids encoding p38 and ERK transfected alone into the cells impaired the ATP-induced release of PGE2 to about the same extent as both plasmids transfected together. These results suggest that PGE2 production induced by ATP requires the activation of both ERK1/2 and p38 MAPKs. Thus, ATP acts via P2Y2-purine receptors to recruit cPLA2 by activating both ERK1/2 and p38 MAPKs and stimulates the release of PGE2 from articular chondrocytes.
File Allocation in Distributed Databases with Interaction between Files

In this paper, we re-examine the file allocation problem. Because of changing technology, the assumptions we use here are different from those of previous researchers. Specifically, the interaction of files during processing of queries is explicitly incorperated into our model and the cost of communication between two sites is dominated by the amount of data transfer and is independent of the receiving and the sending sites. We study the complexity of the file allocation problem using the new model. Unfortunateiy, the problem is NP-hard. We Present an approach to three versions of the problem, thus demonstrating the flexibility of our approach. we further argue that our method provides a practical solution to the problem, because accurate solutions are obtained, the time complexity cf our algorithm is much smaller than existing algorithms, the algorithm is conceptually simple, easy to implement and is adaptive to users’ changing access patterns.