Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences in agility performance between futsal and soccer players

The purpose of this study was to determine differences in agility performance between futsal and soccer players. The research was conducted on a sample of 82 subjects divided in two groups: 40 futsal players (body mass 70.39 ± 5.33 kg ; body height 176.26 ± 6.85 cm) and 42 soccer players (body mass 70.86 ± 5.65 kg ; body height 175.42 ± 5.95 cm). The subjects were tested in the following variables: Slalom test (SL) ; Slalom test with ball (SLB) ; Sprint with 90° turns (S90°) ; Sprint with 90° turns with ball (SB90°) ; Sprint 9-3-6-3-9 m with 180° turns (S180°) ; Sprint 9-3-6-3-9 m with backward and forward running (SBF). The values for the Slalom test with and without the ball are very similar for soccer and futsal players and without statistically significant difference (slalom test p = 0674 ; slalom test with ball p = 0830). The same results are in the sprint test 9-3-6-3-9 whether it was done by turning for 180 ° or with running back and forth. For the agility performance of players, in the tests SL and SLB there was no statistically significant difference between futsal and soccer players. The futsal and soccer players differ in the intensity exertion during the game, but not in the motor activities such as agility. Agility is a very important component of both, futsal and soccer and it represents a common characteristic. Based on that fact we can be conclude that the players in this two sports are very similar in agility performance.
The Jackson Career Explorer: Correlates With Self-Monitoring and Social Desirability

The Jackson Career Explorer (JCE) is a short form and continuous version of the Jackson Vocational Interest Survey measuring 34 vocational interest dimensions which can be reduced to seven factors (six vocational interest factors and one work style factor). Both the scales and factors were examined for possible significant correlations with social desirability and self-monitoring. Volunteer participants (N = 779) aged 14 to 92 years completed the JCE, a social desirability scale, and a self-monitoring scale. Social desirability did not correlate significantly with the JCE scales and factors. Self-monitoring was found to correlate significantly with only a few of the JCE dimensions, including the performing arts, dominant leadership, and law scales as well as the business factor. Interestingly, the accountability JCE work style scale, which assesses a preference to work in an environment requiring high levels of honesty, had a significant negative correlation with self-monitoring. These results add to the validity of the JCE and add information to the area of vocational interest assessment.
Probabilistic learning models for topic extraction i Thai language

Natural language processing (NLP) in Thai language is notoriously complicated. One major problem is the lack of word boundary in a sentence, introducing ambiguity in word tokenization. For topic extraction, semantic ambiguity adds another layer of complexity to the problem. Topic model that disregards word order, such as Latent Dirichlet Allocation (LDA), performs poorly in Thai Language. In this paper, we experimented and tested a probabilistic language model equipped with word location information, the so-called Topic N-grams model (TNG). We deployed several testing tasks to assess TNG's capabilities of modeling the generative process of Thai text and established benchmarks that compare the performance of LDA and TNG for various NLP tasks in Thai language. To our knowledge, this paper is the first to explore word-order model in Thai language topic extraction. We concluded that TNG can help boosting performance of Thai language processing in word cutting, semantic checking, word prediction, and document generation task. We also explored how we can measure performance of LDA and TNG on such tasks using perplexity.
Draft Genome Sequence of a Highly Heterozygous Yeast Strain from the Metschnikowia pulcherrima Subclade, UCD127

ABSTRACT Metschnikowia strain UCD127 was isolated from soil in Ireland and sequenced. It is a highly heterozygous diploid strain with 385,000 single nucleotide polymorphisms (SNPs). Its ribosomal DNA has the highest similarity to that of M. chrysoperlae, but its ACT1 and TEF1 loci and mitochondrial genome show affinity to those of M. fructicola, whose genome is significantly larger.
Just noticeable gamma differences and acceptability of sRGB images displayed on a CRT monitor

Abstract The standard RGB colour space (sRGB) has been proposed as a means for obtaining accurate reproduction of colour and tone for images displayed across the Internet, provided that they are viewed under the reference display and viewing conditions defined in the standard. It has been found, however, that typical display and viewing conditions when accessing online images vary and therefore deviate from the reference sRGB conditions. One of the parameters that may affect the perceived quality of online images is the gamma setting of the display. In this work psychophysical experiments were conducted to determine the imperceptibility and acceptability of gamma differences of sRGB images when they are viewed on cathode ray tube displays. These experiments were carried out under both controlled and uncontrolled display and viewing conditions. The results of these experiments are presented and discussed, including the estimated points of subjective equality and the just noticeable difference of gamma values.
Fast algorithms for knapsack via convolution and prediction

The knapsack problem is a fundamental problem in combinatorial optimization. It has been studied extensively from theoretical as well as practical perspectives as it is one of the most well-known NP-hard problems. The goal is to pack a knapsack of size t with the maximum value from a collection of n items with given sizes and values. Recent evidence suggests that a classic O(nt) dynamic-programming solution for the knapsack problem might be the fastest in the worst case. In fact, solving the knapsack problem was shown to be computationally equivalent to the (min, +) convolution problem, which is thought to be facing a quadratic-time barrier. This hardness is in contrast to the more famous (+, ·) convolution (generally known as polynomial multiplication), that has an O(nlogn)-time solution via Fast Fourier Transform. Our main results are algorithms with near-linear running times (in terms of the size of the knapsack and the number of items) for the knapsack problem, if either the values or sizes of items are small integers. More specifically, if item sizes are integers bounded by , the running time of our algorithm is Õ((n+t)). If the item values are integers bounded by , our algorithm runs in time Õ(n+t). Best previously known running times were O(nt), O(n2) and O(n) (Pisinger, J. of Alg., 1999). At the core of our algorithms lies the prediction technique: Roughly speaking, this new technique enables us to compute the convolution of two vectors in time (n) when an approximation of the solution within an additive error of is available. Our results also improve the best known strongly polynomial time solutions for knapsack. In the limited size setting, when the items have multiplicities, the fastest strongly polynomial time algorithms for knapsack run in time O(n2 2) and O(n3 2) for the cases of infinite and given multiplicities, respectively. Our results improve both running times by a factor of (n max{1, n/}).
Survival and nutritional status of children with severe acute malnutrition, six months post-discharge from outpatient treatment in Jigawa state, Nigeria

Background The Outpatient Therapeutic Program (OTP) for treatment brings the management of Severe Acute Malnutrition (SAM) closer to the community. Many lives have been saved through this approach, but little data exists on the outcome of the children after discharge from such programmes. This study was aimed to determine the survival and nutritional status of children at six months after discharge from OTP for SAM. Methodology This was a prospective study of children with SAM admitted into 10 OTPs in two local government areas of Jigawa state from June 2016 to July 2016. Home visits at six months after discharge enabled the collection of data on survival and nutritional status. The primary outcome measures were survival and nutritional status (Mid upper arm circumference and weight-for-height z-score). Result Of 494 children with SAM, 410 were discharged and 379 were followed up. Of these, 354, (93.4%) were found alive while 25 (6.6%) died. Among the survivors 333 (94.1%) had MUAC ≥12.5cm and 64 (18.1%) had WHZ<-3. Mortality rates were higher 10 (8.4%) among the 6-11months old. Most deaths 16 (64%) occurred within the first 3months post-discharge. Those who died were significantly more stunted, p = 0.016 and had a smaller head circumference, p = 0.005 on entry to OTP programme. There was improvement from admission to six months follow up in the number of children with complete immunization (27.4% to 35.6%), and a decrease in the number of unimmunized children (34.8% vs 20.6%) at follow-up. Conclusion The study demonstrates good post discharge survival rate and improved nutritional status for SAM patients managed in OTPs. There were, however considerable post discharge mortality, especially in the first three months and lower immunization uptake post discharge. A follow-up programme will improve these indices further.
Choroideremia: molecular mechanisms and development of AAV gene therapy

ABSTRACT Introduction: Choroideremia is an X-linked inherited retinal degeneration that causes blindness in afflicted males by middle age. The causative gene, CHM, plays a key role in intracellular trafficking pathways, and its disruption impairs cell homeostasis. Areas covered: The mechanism by which mutations in CHM cause choroideremia is still under debate. Here we describe the molecular defects in choroideremia cells regarding both the deficiency of prenylation and the involvement of Rab GTPases. Important in vivo and in vitro studies that contributed to the current knowledge are also discussed. Finally, the rationale for the development of a treatment strategy using AAV for gene replacement is presented, together with other treatment strategies under consideration. Expert opinion: Despite ubiquitous expression of the CHM gene, the primary defect in choroideremia is driven by retinal pigment epithelium (RPE) and photoreceptors degeneration. Here we discuss how impairment of vesicular trafficking pathways in the RPE plays a major role in the molecular pathogenesis of choroideremia. Moreover, this defect is likely restored by subretinal delivery of a functional copy of CHM using AAV, as evidenced by clinical trial results. The surgical complexity of delivering the AAV vector to the target area remains as the main challenge to this therapy. Abbreviations: AAV: adeno-associated virus; BCD: Bietti’s crystalline dystrophy; CHM: choroideremia; CHML: choroideremia-like; Dfp: days post-fertilization; EMA: European Medicines Agency; ERG: electroretinogram; ETDRS: Early Treatment Diabetic Retinopathy Study; FDA: Food and Drug Administration; FTase: farnesyl transferase; GFP: green fluorescent protein; GGPP: geranylgeranyl-diphosphate; GGTase-I: geranylgeranyl transferase type-I; GGTase-II: geranylgeranyl transferase type-II; HMG-CoA: 3-hydroxy-3-methylglutayl-CoA; HMGCR: HMG-CoA reductase; iPSC: induced pluripotent stem cells; IRDs: inherited retinal diseases; KO: knockout; LCA: Leber congenital amaurosis; NMD: nonsense-mediated mRNA decay; OCT: optical coherence tomography; PMBCs: peripheral blood mononuclear cells; POS: photoreceptor outer segments; PTCs: premature termination codons; Rab GGTase: Rab geranylgeranyl transferase; REP: Rab escort protein; RPE: retinal pigment epithelium; TRIDs: translational read-through inducing drugs; WPRE: woodchuck post-transcriptional regulatory element
Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae

A hypervirulent Klebsiella pneumoniae (hvKp) pathotype is undergoing global dissemination. In contrast to the usual health care-associated epidemiology of classical K. pneumoniae (cKp) infections, hvKp causes tissue-invasive infections in otherwise healthy individuals from the community, often involving multiple sites. ABSTRACT A hypervirulent Klebsiella pneumoniae (hvKp) pathotype is undergoing global dissemination. In contrast to the usual health care-associated epidemiology of classical K. pneumoniae (cKp) infections, hvKp causes tissue-invasive infections in otherwise healthy individuals from the community, often involving multiple sites. An accurate test to identify hvKp strains is needed for improved patient care and epidemiologic studies. To fill this knowledge gap, clinical criteria or random blood isolates from North American and United Kingdom strain collections were used to assemble hvKp-rich (n = 85) and cKp-rich (n = 90) strain cohorts, respectively. The isolates were then assessed for multiple candidate biomarkers hypothesized to accurately differentiate the two cohorts. The genes peg-344, iroB, iucA, plasmid-borne rmpA gene (prmpA), and prmpA2 all demonstrated >0.95 diagnostic accuracy for identifying strains in the hvKp-rich cohort. Next, to validate this epidemiological analysis, all strains were assessed experimentally in a murine sepsis model. peg-344, iroB, iucA, prmpA, and prmpA2 were all associated with a hazard ratio of >25 for severe illness or death, additionally supporting their utility for identifying hvKp strains. Quantitative siderophore production of ≥30 μg/ml also strongly predicted strains as members of the hvKp-rich cohort (accuracy, 0.96) and exhibited a hazard ratio of 31.7 for severe illness or death. The string test, a widely used marker for hvKp strains, performed less well, achieving an accuracy of only 0.90. Last, using the most accurate biomarkers to define hvKp, prevalence studies were performed on two Western strain collections. These data strongly support the utility of several laboratory markers for identifying hvKp strains with a high degree of accuracy.
EXPRESSION OF INTERLEUKIN-10 AND ITS VALUE AS A POTENTIAL MARKER IN ORAL SQUAMOUS CELL CARCINOMA

INTRODUCTION: Oral squamous cell carcinoma (OSCC) is the commonest malignancy in oral cavity. Dysregulated inflammatory processes could impose a cancer risk. Cytokines are inflammatory mediators that can induce cell proliferation. Interleukin-10 is a pleiotropic cytokine which has a dual role in cancer pathogenesis. It contributes to tumor growth and in other cases to tumor rejection. OBJECTIVES: To evaluate and correlate the expression of IL-10 in different histopathological grades of OSCC, as well as to assess its serum and salivary levels. MATERIALS AND METHODS: Immunohistochemical (IHC) study using the IL-10 antibody was done on 20 surgical specimens and 5 normal mucosal tissues taken from OSCC patients and healthy individuals, respectively. Serum and salivary levels of IL-10 were also measured with a human IL-10 ELISA Kit in both patients and controls. RESULTS: OSCC biopsies showed immunoreactivity to IL-10, while normal tissues were immunonegative. The IHC staining intensity was directly proportional to the grading of OSCC. Conversely, it showed no significant correlation to the disease stage. The difference in the serum and salivary IL-10 levels in patients and controls was not statistically significant. However, there was a significant correlation between IL-10 tissue expression and its serum and salivary levels in OSCC patients. CONCLUSIONS: IL-10 is expressed in OSCC biopsies. Additionally, the levels of IL-10 in tissue, serum and saliva were correlated to each other. This could reflect the same way of regulation of IL-10 in different parts of the body.
Deep Adaptive Sampling for Low Sample Count Rendering

Recently, deep learning approaches have proven successful at removing noise from Monte Carlo (MC) rendered images at extremely low sampling rates, e.g., 1–4 samples per pixel (spp). While these methods provide dramatic speedups, they operate on uniformly sampled MC rendered images. However, the full promise of low sample counts requires both adaptive sampling and reconstruction/denoising. Unfortunately, the traditional adaptive sampling techniques fail to handle the cases with low sampling rates, since there is insufficient information to reliably calculate their required features, such as variance and contrast. In this paper, we address this issue by proposing a deep learning approach for joint adaptive sampling and reconstruction of MC rendered images with extremely low sample counts. Our system consists of two convolutional neural networks (CNN), responsible for estimating the sampling map and denoising, separated by a renderer. Specifically, we first render a scene with one spp and then use the first CNN to estimate a sampling map, which is used to distribute three additional samples per pixel on average adaptively. We then filter the resulting render with the second CNN to produce the final denoised image. We train both networks by minimizing the error between the denoised and ground truth images on a set of training scenes. To use backpropagation for training both networks, we propose an approach to effectively compute the gradient of the renderer. We demonstrate that our approach produces better results compared to other sampling techniques. On average, our 4 spp renders are comparable to 6 spp from uniform sampling with deep learning‐based denoising. Therefore, 50% more uniformly distributed samples are required to achieve equal quality without adaptive sampling.
Late-onset Sepsis in Preterm Infants Can Be Detected Preclinically by Fecal Volatile Organic Compound Analysis: A Prospective, Multicenter Cohort Study

Background The intestinal microbiota has increasingly been considered to play a role in the etiology of late-onset sepsis (LOS). We hypothesize that early alterations in fecal volatile organic compounds (VOCs), reflecting intestinal microbiota composition and function, allow for discrimination between infants developing LOS and controls in a preclinical stage. Methods In 9 neonatal intensive care units in the Netherlands and Belgium, fecal samples of preterm infants born at a gestational age ≤30 weeks were collected daily, up to the postnatal age of 28 days. Fecal VOC were measured by high-field asymmetric waveform ion mobility spectrometry (FAIMS). VOC profiles of LOS infants, up to 3 days prior to clinical LOS onset, were compared with profiles from matched controls. Results In total, 843 preterm born infants (gestational age ≤30 weeks) were included. From 127 LOS cases and 127 matched controls, fecal samples were analyzed by means of FAIMS. Fecal VOCs allowed for preclinical discrimination between LOS and control infants. Focusing on individual pathogens, fecal VOCs differed significantly between LOS cases and controls at all predefined time points. Highest accuracy rates were obtained for sepsis caused by Escherichia coli, followed by sepsis caused by Staphylococcus aureus and Staphylococcus epidermidis. Conclusions Fecal VOC analysis allowed for preclinical discrimination between infants developing LOS and matched controls. Early detection of LOS may provide clinicians a window of opportunity for timely initiation of individualized therapeutic strategies aimed at prevention of sepsis, possibly improving LOS-related morbidity and mortality.
Risk Factors for Chronic Thromboembolic Pulmonary Hypertension - A Review

Chronic thromboembolic pulmonary hypertension (CTEPH) is a form of pulmonary hypertension caused by obstruction and vascular remodeling of pulmonary arteries following Pulmonary Embolism, which leads to increased pulmonary pressure and right ventricular failure. Several studies have reported that the incidence of the disease is between 0.1% and 9.1%. However, since many patients with CTEPH do not refer to have suffered an acute Pulmonary Embolism (PE), the true incidence of the disease is believed to be higher. Risk factors that predispose the development of CTEPH include: the initial size of thrombus and numerous associated host co morbidities. Homeostatic risk factors include: the level of plasma factor VIII and antiphospholipid antibodiesor intrinsic abnormalities in fibrinogen. Co morbidities include: splenectomy, ventriculo-atrial shunts, infected pacemakers, blood groups other than 0, chronic inflammatory diseases such as osteomyelitis and inflammatory bowel disease, antiphospholipid antibodies, thyroid replacement therapy and a history of malignancy. The prognosis of this disease is poor,if left untreated. In symptomatic patients with surgically accessible CTEPH, the treatment of choice is pulmonary endarterectomy (PEA), but up to 40% of patients evaluated for PEA may be denied surgery for different reasons, including the presence of significant concomitant small-vessel disease. The aim of this article is to highlight the homeostatic factors and clinical conditions that increase the risk for CTEPH.
Expression of the Marburg I Single Nucleotide Polymorphism (MI-SNP) and the Marburg II Single Nucleotide Polymorphism (MII-SNP) of the Factor VII-Activating Protease (FSAP) Gene and Risk of Coronary Artery Disease (CAD): A Pilot Study in a Single Population

Background Factor VII-activating protease (FSAP) has a role in vascular inflammation and may have a role coronary artery disease (CAD). The aim of this study was to investigate the association between two naturally occurring single nucleotide polymorphisms (SNPs) in the FSAP gene and the risk of coronary artery disease (CAD). Material/Methods Of 733 patients, 173 patients had symptoms of angina, and 560 patients had CAD confirmed by coronary angiography. All patients were genotyped for SNPs of the FSAP gene, Marburg I (MI-SNP) and Marburg II (MII-SNP), using 5′ exonuclease TaqMan assays. Logistic regression analysis was used to evaluate the association between two gene polymorphisms, metabolic and other cardiovascular risk factors in patients with CAD. Results The presence of MI-SNP and MII-SNP FSAP gene polymorphisms were not associated with the presence of CAD. However, the MII-SNP polymorphism was significantly associated with a reduced risk of developing CAD (OR=0.422; 95% CI, 0.194–0.920; P=0.035); the MI-SNP polymorphism was associated with absence of hyperlipoproteinemia (OR=0.601; 95% CI, 0.344–1.051; P=0.074). There was no significant association between expression of the MI-SNP and MII-SNP FSAP gene polymorphisms and the incidence of myocardial infarction, or of a history of diabetes mellitus, arterial hypertension, obesity, or smoking. Conclusions The MI-SNP and MII-SNP FSAP gene polymorphisms were not predictive or prognostic biomarkers for CAD or its main risk factors. However, the presence of the MII-SNP polymorphism was associated with a reduced risk of developing CAD.
Historic Treponema pallidum genomes from Colonial Mexico retrieved from archaeological remains

Treponema pallidum infections occur worldwide causing, among other diseases, syphilis and yaws. In particular sexually transmitted syphilis is regarded as a re-emerging infectious disease with millions of new infections annually. Here we present three historic T. pallidum genomes (two from T. pallidum ssp. pallidum and one from T. pallidum ssp. pertenue) that have been reconstructed from skeletons recovered from the Convent of Santa Isabel in Mexico City, operational between the 17th and 19th century. Our analyses indicate that different T. pallidum subspecies caused similar diagnostic presentations that are normally associated with syphilis in infants, and potential evidence of a congenital infection of T. pallidum ssp. pertenue, the causative agent of yaws. This first reconstruction of T. pallidum genomes from archaeological material opens the possibility of studying its evolutionary history at a resolution previously assumed to be out of reach.