Miracle-dz/UniFAR-FTUs huggingface dataset:
ELITE MALE VOLLEYBALL PLAYERS

Timoteo, TF, Debien, PB, Miloski, B, Werneck, FZ, Gabbett, T, and Filho, MGb. Influence of workload and recovery on injuries in elite male volleyball players. J Strength Cond Res 35(3): 791–796, 2021—The aim of this study was to investigate the influence of workload and recovery on injury rates in elite male volleyball players. Data were collected from 14 male professional volleyball players over a 27-week season. Workloads were monitored daily using the session rating of perceived exertion, and recovery status was appraised using the Total Quality Recovery (TQR) scale. The players were exposed to 4,573.31 hours (h) of training and games with an overall injury incidence of 13.99 per 1,000 hours. Overuse accounted for 83% (11.58 injuries/1,000 hours) and trauma accounted for 17% (2.40 injuries per 1,000 hours) of all injuries. There was a higher incidence of injuries (p = 0.003), higher weekly workload (p = 0.008), and acute:chronic workload ratio (ACWR) (p , 0.001) in the pre-season compared with the competitive period. Healthy players had lower ACWR (p = 0.002) compared with the injured players. The TQR was higher for the healthy group compared with the injured group (p , 0.001). The greater odds of injury was related to higher ACWR (risk factor) (p = 0.014) and lower TQR values (p = 0.004) (protection factor). Athlete’s workloads and the state of recovery may be related to injuries in volleyball. The results presented in this study emphasize the importance of controlling these variables in professional volleyball teams to prevent injuries.
Transcriptomic and proteomic responses of the oceanic diatom Pseudo‐nitzschia granii to iron limitation

Diatoms are a highly successful group of photosynthetic protists that often thrive under adverse environmental conditions. Members of the genus Pseudo-nitzschia are ecologically important diatoms which are able to subsist during periods of chronic iron limitation and form dense blooms following iron fertilization events. The cellular strategies within diatoms that orchestrate these physiological responses to variable iron concentrations remain largely uncharacterized. Using a combined transcriptomic and proteomic approach, we explore the exceptional ability of a diatom isolated from the iron-limited Northeast Pacific Ocean to reorganize its intracellular processes as a function of iron. We compared the molecular responses of Pseudo-nitzschia granii observed under iron-replete and iron-limited growth conditions to those of other model diatoms. Iron-coordinated molecular responses demonstrated some agreement between gene expression and protein abundance, including iron-starvation-induced-proteins, a putative iron transport system and components of photosynthesis and the Calvin cycle. Pseudo-nitzschia granii distinctly differentially expresses genes encoding proteins involved in iron-independent photosynthetic electron transport, urea acquisition and vitamin synthesis. We show that P. granii is unique among studied diatoms in its physiology stemming from distinct cellular responses, which may underlie its ability to subsist in low iron regions and rapidly bloom to outcompete other diatom taxa following iron enrichment.
Joint Transmission Power Optimization and Connectivity Control in Asymmetric Networks

In this paper, the problem of transmission power optimization and connectivity control over asymmetric networks represented by weighted directed graphs (digraphs) is investigated using a centralized approach. The notion of generalized algebraic connectivity (GAC) introduced in the literature recently as a measure of connectivity in weighted digraphs is formulated as an implicit function of the network's transmission power vector. An optimization problem is then presented to minimize the total transmission power of the network while satisfying certain constraints on the GAC and transmission power. The interior point method is used to transform this constrained optimization problem into a sequential unconstrained optimization problem. Each subproblem is then solved numerically using the subgradient method with backtracking line search. Even though the GAC is a non-convex and non-differentiable continuous function of the network's transmission power vector, using the aforementioned methods the optimization problem gradually becomes convex as the number of iterations increases. Asymptotic convergence of the proposed algorithm to the global minimum of the original optimization problem is demonstrated analytically. The effectiveness of the algorithm is verified by simulations.
Landmark Weighting for 3DMM Shape Fitting

Human face is a 3D object with shape and surface texture. 3D Morphable Model (3DMM) is a powerful tool for reconstructing the 3D face from a single 2D face image. In the shape fitting process, 3DMM estimates the correspondence between 2D and 3D landmarks. Most traditional 3DMM fitting methods fail to reconstruct an accurate model because face shape fitting is a difficult non-linear optimization problem. In this paper we show that landmark weighting is instrumental to improve the accuracy of shape reconstruction and propose a novel 3D Morphable Model Fitting method. Different from previous works that treat all landmarks equally, we take into consideration the estimated errors for each pair of 2D and 3D corresponding landmarks. The landmark points are weighted in the optimization cost function based on these errors. Obviously, these landmarks have different semantics because they locate on different facial components. In the context of the solution of fitting is approximated, there are deviations in landmarks matching. However, these landmarks with different semantics have different effects on reconstructing 3D faces. Thus, it is necessary to consider each landmark individually. To our knowledge, we are the first to analyze each feature point for 3D face reconstruction by 3DMM. The weight is adaptive with the estimation residuals of landmarks. Experimental results show that the proposed method significantly reduces the reconstruction error and improves the authenticity of the 3D model expression.
Broad Bean (Vicia faba L.) Induces Intestinal Inflammation in Grass Carp (Ctenopharyngodon idellus C. et V) by Increasing Relative Abundances of Intestinal Gram-Negative and Flagellated Bacteria

Constant consumption of broad bean (Vicia faba L.) induces intestinal inflammation and reduces growth rate in grass carp (Ctenopharyngodon idellus C. et V). However, the mechanisms underlying these effects are unclear. In mammalian models of inflammatory bowel disease (IBD), endotoxin and flagellin cause intestinal inflammation through upregulation of tumor necrosis factor (TNF)-α expression. We therefore speculated that broad bean consumption alters intestinal microbiota composition, thereby increasing the relative abundance of endotoxin-producing Gram-negative and flagellated bacteria and resulting in upregulation of TNF-α and intestinal inflammation in grass carp. We tested this hypothesis by comparing intestinal microbiota compositions of grass carp fed broad bean (GCBB), hybrid giant napier (Pennisetum sinese Roxb, GCHG), or formula feed (GCFF) by 16S rRNA gene sequencing. We also performed a histological analysis of the intestinal inner wall by scanning electron microscopy and measured intestinal wall and serum concentrations of TNF-α. Our results revealed epithelial cell damage including microvillus effacement and synechia along with increased TNF-α levels in the intestinal wall in the GCBB group as compared to the GCHG and GCFF groups. The relative abundances of Gram-negative and flagellated bacteria were also higher in the GCBB group than in the GCHG and GCFF groups; this was accompanied by upregulation of genes expressing endotoxin and flagellin in intestinal microbiota. Thus, broad bean-induced intestinal inflammation in grass carp shares features with IBD. Our findings demonstrate that the microbiome in fish is directly influenced by diet and provide a reference for deconstructing host–intestinal microbiota interactions.
Therapeutic effect of vascular interventional therapy and aspirin combined with defibrase on cerebral ischemia in rats

Therapeutic effect of vascular interventional therapy and aspirin combined with defibrase in the treatment of cerebral ischemia in rat model were investigated. Ninety rats were selected to establish cerebral ischemia model. Animal models were randomly divided into observation group and control group, with 45 rats in each group. Rats in observation group were treated with vascular intervention, and control group was treated with aspirin combined with defibrase. Peak systolic velocity (Vs) and end-diastolic velocity (Vd) were compared between two groups before and after 12 months of treatment. Therapeutic effects were compared before and after 6 months, and before and after 12 months of treatment. Vs and Vd of vascular lesions in observation group at 12 months were reduced after treatment, and were significantly lower than those in control group (p<0.05). After treatment, Vs and Vd in observation group were significantly reduced (p<0.05). There was no significant difference in Vs and Vd values between the groups before treatment (p>0.05). NDS scores in observation group were significantly lower than those in control group at 6 months and 1 year after treatment (p<0.05). There were no significant changes in NDS score at 6 and 12 months after treatment in control group compared with pretreatment group (p>0.05). NDS in observation group was significantly reduced at 6 and 12 months after treatment compared with pretreatment level (p<0.05). One year after treatment, incidence of cerebral infarction and transient ischemic attack and mortality in observation group were significantly lower than those in the control group (p<0.05). Intracranial vascular interventional therapy can achieve satisfactory outcomes in the treatment of cerebral ischemia, and can effectively promote nerve function recovery, and reduce the incidence of cerebrovascular diseases and mortality.
Entrepreneurs' Bricolage and Social Media

Opportunity-based entrepreneurs work in dynamic environments that pose interesting challenges to get efficient access to the resources they need. Thus, based on the social network theory and the Resource-Based theory this article investigates how opportunity-based entrepreneurs use social media to satisfy their resource challenges. More precisely, built on the recent findings suggesting that entrepreneurs strategically network with social media this article sheds light on how entrepreneurs accommodate their capabilities to satisfy their resource needs. The study employed a grounded approach to analyze how technology-based entrepreneurs actively use social media to get access to entrepreneurial resources during their new venture formation process. Data was collected through semistructured interviews to the main founders of startups until a saturation level was reached. Results support that entrepreneurs develop new kind of capabilities, improvisational capabilities, to improve efficiency by using social media to develop their social networks and, in this way, to overcome their resource constraints. Moreover, the article identified that entrepreneurs employ different strategies when developing their social network and that social media allow to develop new capabilities for startup founders.
Lower Prefrontal and Hippocampal Volume and Diffusion Tensor Imaging Differences Reflect Structural and Functional Abnormalities in Abstinent Individuals with Alcohol Use Disorder

BACKGROUND Alcohol use disorder (AUD) is known to have adverse effects on brain structure and function. Multimodal assessments investigating volumetric, diffusion, and cognitive characteristics may facilitate understanding of the consequences of long-term alcohol use on brain circuitry, their structural impairment patterns, and their impact on cognitive function in AUD. METHODS Voxel- and surface-based volumetric estimations, diffusion tensor imaging (DTI), and neuropsychological tests were performed on 60 individuals: 30 abstinent individuals with AUD (DSM-IV) and 30 healthy controls. Group differences in the volumes of cortical and subcortical regions, fractional anisotropy (FA), axial and radial diffusivities (AD and RD, respectively), and performance on neuropsychological tests were analyzed, and the relationship among significantly different measures was assessed using canonical correlation. RESULTS AUD participants had significantly smaller volumes in left pars orbitalis, right medial orbitofrontal, right caudal middle frontal, and bilateral hippocampal regions, lower FA in 9 white matter (WM) regions, and higher FA in left thalamus, compared to controls. In AUD, lower FA in 6 of 9 WM regions was due to higher RD and due to lower AD in the left external capsule. AUD participants scored lower on problem-solving ability, visuospatial memory span, and working memory. Positive correlations of prefrontal cortical, left hippocampal volumes, and FA in 4 WM regions with visuospatial memory performance and negative correlation with lower problem-solving ability were observed. Significant positive correlation between age and FA was observed in bilateral putamen. CONCLUSIONS Findings showed specific structural brain abnormalities to be associated with visuospatial memory and problem-solving ability-related impairments observed in AUD. Higher RD in 6 WM regions suggests demyelination, and lower AD in left external capsule suggests axonal loss in AUD. The positive correlation between FA and age in bilateral putamen may reflect accumulation of iron depositions with increasing age.
Kallikrein-related peptidases represent attractive therapeutic targets for ovarian cancer

ABSTRACT Introduction: Aberrant levels of kallikrein-related peptidases (KLK1-15) have been linked to cancer cell proliferation, invasion and metastasis. In ovarian cancer, the KLK proteolytic network has a crucial role in the tissue and tumor microenvironment. Publically available ovarian cancer genome and expression data from multiple patient cohorts show an upregulation of most KLKs. Areas covered: Here, we review the expression levels of all 15 members of this family in normal and ovarian cancer tissues, categorizing them into highly and moderately or weakly expressed KLKs, and their association with patient prognosis and survival. We summarize their tumor-biological functions determined in cell-based assays and xenograft models, further highlighting their suitability as cancer biomarkers and attractive candidates for drug development. Finally, we discuss some different pharmaceutical approaches, including peptide-based and small molecule inhibitors, cyclic peptides, depsipeptides, engineered natural inhibitors, antibodies, RNA/DNA-based aptamers, prodrugs, miRNA and siRNA. Expert opinion: In light of the results from clinical and tumor-biological studies, together with the available pharmaceutical tools, we suggest KLK4, KLK5, KLK6 and possibly KLK7 as preferred targets for inhibition in ovarian cancer.
Planning Validation & Verification Steps According to the Dependency of Requirements and Product Architecture

Continuous support of the verification and validation processes does not only require mapping the data and information flows within the process, but also needs the link to the development of the complete process itself. It is also necessary to clearly define the dependencies between the individual activities within the validation process in order to describe the relation to the requirements. Not only the verification and validation processes themselves are being considered but also the dependency of the requirements on each other and the connection to the product architecture of ongoing development processes. The model used for this analysis is based on the network and graph theory and is compared to the common approaches on this field.
Laser engineering of microbial systems

A technology of laser engineering of microbial systems (LEMS) based on the method of laser-induced transfer of heterogeneous mixtures containing microorganisms (laser bioprinting) is described. This technology involves laser printing of soil microparticles by focusing near-infrared laser pulses on a specially prepared gel/soil mixture spread onto a gold-coated glass plate. The optimal range of laser energies from the point of view of the formation of stable jets and droplets with minimal negative impact on living systems of giant accelerations, laser pulse irradiation, and Au nanoparticles was found. Microsamples of soil were printed on glucose-peptone-yeast agar plates to estimate the LEMS process influence on structural and morphological microbial diversity. The obtained results were compared with traditionally treated soil samples. It was shown that LEMS technology allows significantly increasing the biodiversity of printed organisms and is effective for isolating rare or unculturable microorganisms.
Linking Spheres

Andrews and Curtis have shown (1) that one can embed two Sn's in En+2 for n = 2, in such a way that one sphere cannot be shrunk to a point in the residue space of the other. In this paper the result is shown to be true for any n ≥ 1. (The result is obvious for n = 1.) The method is to calculate the appropriate homotopy group of the residue space of one sphere, and to show that the embedding of the other sphere represents a non-zero element of the group. The two spheres can both be embedded analytically.
Passive Indoor Localization Based on CSI and Naive Bayes Classification

Passive indoor localization is important. Unlike active localization techniques, it does not require for users to carry measuring devices, e.g., smart phones. Thus, it is widely used in applications such as security, smart housing, object tracking, etc. However, in real-world applications, the passive localization accuracy is limited due to the environment noises, multipath effect, etc. To address those problems, in this paper, we propose to use channel state information (CSI) instead. Specifically, we make the following contributions: 1) we design a CSI-based passive indoor localization system; 2) we develop a Naive Bayes classifier enhanced with confidence level information; and 3) we demonstrate the effectiveness of our technique using real-world deployments. The experimental results show that our technique can achieve more than 86% accuracy on average and at least 15% better than the baseline Naive Bayes classifier.
Quantitative Viscoelasticity Studies with Atomic Force Microscopy

Linear theory of viscoelasticity has many parallels with LTI control systems, and identification methods for LTI can be applied to study viscoelastic materials. However, conducting such a study with atomic force microscopy (AFM) requires overcoming many challenges, including: (a) accurate piezo control of the tip trajectory; (b) calibration of the probe (spring constant and tip shape) and opto-mechanical system (inverse optical sensitivity); (c) converting z-position to indentation depth and limit error propagation of the conversion; (d) identification of the point of contact. Accounting for the tip shape also makes the viscoelastic models nonlinear. We describe the development of an AFM experiment and analysis that overcomes these challenges and demonstrate practical viscoelastic measurements at the nanometer scale.
Evidence for the treatment of moderate depression: a systematic review

Objectives This study aims to investigate existing evidence for the effectiveness of psychological treatments and/or antidepressant medication as a treatment for those diagnosed with moderate levels of depression. Methods A PRISMA systematic review of articles using electronic research databases (2000–2014) was conducted to identify studies investigating the effectiveness of psychotherapy and/or medication as a treatment for people with moderate levels of depression. Search terms included moderate depression, psychotherapy and/or medication, depressive disorders, antidepressants, psychotherapy, mental health services, and randomized-controlled trial (RCT). The included studies were then assessed, extracted, and synthesised. Results A total of 14 studies met the inclusion criteria (11 RCTs and three additional studies) for this review. The findings of the systematic review indicate that there is limited evidence available specific to the treatment of moderate depression and that this research seems to suggest that psychotherapy or combined treatment has a beneficial effect. Conclusions Given that depression is one of the biggest challenges the world faces at present, further research is required to examine the effectiveness of treatment for different levels of depression severity.
On Services Unequal Error Protecting and Pushing by Using Terrestrial Broadcasting Network

This paper proposes a novel services unequal error protecting (UEP) and pushing scheme by using terrestrial broadcasting network (TBN). Experiments show that the most important services (MIS) contributing to the most part of quality of experience (QoE) are only a small size of all services. Based on this fact, we duplicate several copies of the MIS firstly in the proposed scheme; then, only one copy of MIS is encoded together with the rest less important services (LIS) by LT code; the others uncoded copies are pushed with the encoded data by the TBN. Simulations show that the proposed scheme can effectively improve the QoE score of users.
Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection

We derive the large deviation rate for convergence in probability of products of independent but not identically distributed stochastic matrices arising in time-varying distributed consensus-type networks. More precisely, we consider the model in which there exists a baseline topology that describes all possible communications and nodes are activated sparsely. At any given time, a node is active with a certain time-dependent probability, and any two nodes communicate if they are both active at that time. Under this model, we compute the exact rate for exponential decay of probabilities that the matrix products stay bounded away from their limiting matrix. We show that the rate is given by the minimal vertex cut of the baseline topology, where the node costs are defined by their limiting activation probabilities. The computed rate has many potential applications in distributed inference with intermittent communications. We provide an application in the context of consensus+innovations distributed detection. Therein, we show that optimal error exponent is achievable under a very general model of sparsified activations, thus effectively constructing asymptotically optimal detectors with significant communications savings.
High-rate Spatially Coupled Codes for Channels with Synchronous Errors

In this paper, we deal with coding for synchronous errors. In [1], we introduced a synchronously erroneous finite state Markov channel model whose SIR is computable. Numerical experiments demonstrated spatially-coupled codes approach the SIR of the channel. However, at high-rate region, there is a gap to the SIR even if very long code length was used. In this paper, for the channel, we apply density evolution analysis [2] and the extended version for FSMC [3]. The results show that the threshold of protograph coupled codes is degraded at high-rate region, while random coupled codes approach the SIR even in the high-rate region.