Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic adaptations to endurance training and nutrition strategies influencing performance

ABSTRACT Endurance performance is the result of optimal training targeting cardiovascular, metabolic, and peripheral muscular adaptations and is coupled to effective nutrition strategies via the use of macronutrient manipulations surrounding training and potential supplementation with ergogenic aids. It is important to note that training and nutrition may differ according to the individual needs of the athlete and can markedly impact the physiological response to training. Herein, we discuss various aspects of endurance training adaptations, nutritional strategies and their contributions to towards performance.
NiaPy: Python microframework for building nature-inspired algorithms

Nature-inspired algorithms are a very popular tool for solving optimization problems (Yang 2014), (Hassanien and Emary 2016). Numerous variants of nature-inspired algorithms have been developed (Iztok Fister Jr. and Fister 2013) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch.
Unprotected versus protected high-risk percutaneous coronary intervention with the Impella 2.5 in patients with multivessel disease and severely reduced left ventricular function

Abstract Selecting a revascularization strategy in patients with multivessel disease (MVD) and severely reduced left ventricular ejection fraction (LVEF) remains a challenge. PCI with Impella 2.5 may facilitate high-risk PCI, however long-term results comparing unprotected versus protected PCI are currently unknown. We sought to evaluate the outcome of patients undergoing protected compared to unprotected percutaneous coronary intervention (PCI) in the setting of MVD and severely reduced LVEF. We included patients with MVD and severely reduced LVEF (⩽35%) in this retrospective, single-centre study. Patients that underwent unprotected PCI before the start of a dedicated protected PCI program with Impella 2.5 were compared to patients that were treated with protected PCI after the start of the program. The primary endpoint was defined as major adverse cardiac and cerebrovascular events (MACCE) during a 1-year follow-up. The secondary endpoints consisted of in-hospital MACCE and adverse events. A total of 61 patients (mean age 70.7 ± 10.9 years, 83.6% male) were included in our study, of which 28 (45.9%) underwent protected PCI. The primary endpoint was reached by 26.7% and did not differ between groups (P = .90). In-hospital MACCE (P = 1.00) and in-hospital adverse events (P = .12) also demonstrated no significant differences. Multivariate logistic regression identified procedural success defined as complete revascularization and absence of in-hospital major clinical complications as protective parameter for MACCE (OR 0.17, 95% CI 0.04–0.70, P = .02). Patients with MVD and severely depressed LVEF undergoing protected PCI with Impella 2.5 demonstrate similar in-hospital and one-year outcomes compared to unprotected PCI.
An Uber ethical dilemma: examining the social issues at stake

Purpose This paper aims to engage with the social issues emerging from the increasing reliance upon app-driven services, as they pertain to precarious labor and ethical standpoints in a digital era. Popular ride services such as Uber have been lauded for bringing much needed transportation services that are superior to expensive taxis or unpleasant or inaccessible public transit. Design/methodology/approach As a result of over three years of ongoing research and analysis, this paper is a comprehensive assessment of a number of social issues facing the integration of practices both signified and enacted in an economy driven by apps such as Uber. While these companies are indeed profitable, questions remain as to just how much of a panacea these practices actually herald. Findings Findings indicate that privatization and a lack of labor regulation may present a significant savings to the user, but full cost economics suggest that the social and environmental costs require consideration. Research limitations/implications The recommendations here refer to the ethical considerations forwarded in this paper and serve to open up dialog to further discuss the persistent issues facing a precarious future. Practical implications In terms of practical implications, there is a point of tension between governmental/regulatory bodies, disruptive innovators and users. Social implications Stakeholders of all stripes are scrambling to keep up with the pace and problematics of digital innovations and an inclusive critical dialog on app-driven services has yet to become a priority. Originality/value The original value of this analytical framework from a social justice perspective stands to catalyze action on a number of pervasive social issues surrounding digital ethics and policy.
Phase I/II trial of cladribine, high-dose cytarabine, mitoxantrone, and G-CSF with dose-escalated mitoxantrone for relapsed/refractory acute myeloid leukemia and other high-grade myeloid neoplasms

Current treatment results for relapsed/refractory acute myeloid leukaemia (AML) are typically poor. [1][1] Because some data suggest the value of increased anthracycline doses with intensive AML chemotherapies,[2][2],[3][3] we conducted a Phase I/II trial ([ClinicalTrials.gov][4]: [NCT02044796][5])
The use of optical coherence tomography for the detection of ocular toxicity by ethambutol

Objectives To evaluate, through (OCT), alterations in retinal thickness, secondary to use of ethambutol in the treatment of patients with tuberculosis. In addition to studying the use of simpler semiological tools, such as Amsler and Ishihara, in the screening of these cases. Methods Thirty patients with ethambutol were recruited from the reference service of tuberculosis treatment at the Federal University of Espírito Santo from May 2015 to July 2016. After clinical history, the following parameters were analyzed; best corrected visual acuity, biomicroscopy, tonometry, photomotor reflex testing, Ishihara test, Amsler’s grid test, color digital retinography and optical coherence tomography with CIRRUS HD-OCT (Humphrey-Zeiss) every 2 months during treatment with ethambutol. They were divided into two groups according to the treatment: (1) standard group, two months of ethambutol; (2) extended group, nine to twelve months of ethambutol. Results There was a significant reduction in OCT thickness between the pre and post treatment times in ten eyes of the extended group, mean reduction of 7,8 microns and in seven eyes of the standard group, with an average of 5.57 microns. During the study, a significant reduction of retinal thickness was observed in both groups at two months of treatment, and the delta percentage was higher in those patients who presented reduction of visual acuity and / or change in the Ishihara test. Conclusion There was a significant reduction in the thickness of the nerve fiber layer by OCT in the patients studied, being more pronounced in those submitted to the extended treatment regimen. This reduction was observed two months after the start of therapy, and was more significant in the cases that presented changes in the Ishihara test.
Dual enkephalinase inhibitor PL265: a novel topical treatment to alleviate corneal pain and inflammation

Abstract Ocular pain is a core symptom of inflammatory or traumatic disorders affecting the anterior segment. To date, the management of chronic ocular pain remains a therapeutic challenge in ophthalmology. The main endogenous opioids (enkephalins) play a key role in pain control but exhibit only transient analgesic effects due to their rapid degradation. The aim of this study was to explore the antinociceptive and anti-inflammatory effects of topical administration of PL265 (a dual enkephalinase inhibitor) on murine models of corneal pain. On healthy corneas, chronic PL265 topical administration did not alter corneal integrity nor modify corneal mechanical and chemical sensitivity. Then, on murine models of corneal pain, we showed that repeated instillations of PL265 (10 mM) significantly reduced corneal mechanical and chemical hypersensitivity. PL265-induced corneal analgesia was completely antagonized by naloxone methiodide, demonstrating that PL265 antinociceptive effects were mediated by peripheral corneal opioid receptors. Moreover, flow cytometry (quantification of CD11b+ cells) and in vivo confocal microscopy analysis revealed that instillations of PL265 significantly decreased corneal inflammation in a corneal inflammatory pain model. Chronic PL265 topical administration also decreased Iba1 and neuronal injury marker (ATF3) staining in the nucleus of primary sensory neurons of ipsilateral trigeminal ganglion. These results open a new avenue for ocular pain treatment based on the enhancement of endogenous opioid peptides' analgesic effects in tissues of the anterior segment of the eye. Dual enkephalinase inhibitor PL265 seems to be a promising topical treatment for safe and effective alleviation of ocular pain and inflammation.
Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Vegetation plays an irreplaceable role for urban ecosystem services. Urban greenness represents all vegetation cover in and around cities. Understanding spatiotemporal patterns of the changes in urban greenness (CUG) provides fundamental clues for urban planning. The impact on CUG can be roughly categorized as being climate-induced and human-induced. Methods for mapping human-induced CUG (H-CUG) are rare. In this paper, a new framework, known as Localized Spatial Association Analysis under Temporal Context (LSAA-TC), was proposed to explore H-CUG. Localized spatial association analysis (LSAA) was performed first to extract local spatial outliers (LSOs), or locations that differ significantly in urban greenness from those located in the neighborhood. LSOs were then analyzed under the temporal context to map their intertemporal variations known as spatiotemporal outliers. We applied LSAA-TC to mapping H-CUG in the Wuhan Metropolitan Area, China during 2000–2015 using the vegetation index from Moderate-resolution Imaging Spectroradiometer (MODIS) 13Q1 as the proxy for urban greenness. The computed H-CUG demonstrated apparent spatiotemporal patterns. The result is consistent with the fact that the traditional downtown area presents the lowest H-CUG, while it is found that the peripheral area in the circular belt within 14–20 km from the urban center demonstrates the most significant H-CUG. We conclude that LSAA-TC can be a widely applicable framework to understand H-CUG patterns and is a promising tool for informative urban planning.
Incremental learning with deep neural networks using a test-time oracle

We present a simple idea to avoid catastrophic forgetting when training deep neural networks (DNNs) on class-incremental tasks. This means that initial training is conducted on a sub-task described by a dataset D 1, whereas re-training is conducted subsequently, on a sub-task described by a dataset D 2 that is composed of diﬀerent classes. As our recent work suggest that DNNs perform very poorly at this problem, we propose a simple extension that proposes an individually trained readout layer for each sub-task. While this is unproblematic for training, a clustering method (the oracle) is used at test time to determine which sub-task a sample most likely belongs to. Experiments on simple benchmarks derived from MNIST show the eﬀectiveness of this method for which a dedicated TensorFlow implementation is made available.
Effect of three semi-occluded vocal tract therapy programmes on the phonation of patients with dysphonia: lip trill, water-resistance therapy and straw phonation.

BACKGROUND To date, the immediate effects of a semi-occluded vocal tract (SOVT) configuration have been thoroughly demonstrated. However, it is not yet sufficiently confirmed whether a therapy programme (i.e. longer than one session) using SOVT exercises leads to an enhanced phonation and improved vocal quality. AIMS The aim of this study was to investigate the effect of three SOVT therapy programmes: lip trill, water-resistance therapy (WRT) and straw phonation, on the vocal quality, vocal capacities, psychosocial impact and vocal tract discomfort of patients with dysphonia. METHODS & PROCEDURES A blocked-randomized sham-controlled trial was used. Thirty-five patients with dysphonia (mean age = 21 years; 33 women, two men) were assigned to either a lip trill group, a WRT group, a straw phonation group or a control group using blocked randomization. The lip trill, WRT and straw phonation groups practised their respective SOVT exercise across 3 weeks, whereas the control group received a sham treatment across the same time span. A multidimensional voice assessment consisting of both objective (multiparametric indices: Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI)) and subjective (subject's self-report, auditory-perceptual evaluation) vocal outcomes was performed by a blinded assessor pre- and post-therapy. OUTCOMES & RESULTS Lip trill and straw phonation therapy led to a significant improvement in DSI. Auditory-perceptual grade and roughness significantly decreased after straw phonation. Lip trill and WRT both led to a significant decrease in Voice Handicap Index. Subjects reported a better self-perceived vocal quality and a more comfortable voice production after WRT. No changes were found after the sham treatment in the control group. CONCLUSIONS & IMPLICATIONS Results suggest that SOVT therapy programmes including lip trill or straw phonation can improve the objective vocal quality in patients with dysphonia. Auditory-perceptual improvements were found after straw phonation therapy, whereas psychosocial improvements were found after lip trill and WRT. Patients seem to experience more comfort and a better self-perceived vocal quality after WRT. This study supports the use of the three SOVT therapy programmes in clinical practice. They all had a positive impact on one or more outcomes of the multidimensional voice assessment. Strikingly, vocal quality outcomes were not in line with the subject's opinion. Larger-scale investigation is needed to support these preliminary findings.
Relationship between the IADPSG-criteria-defined abnormal glucose values and adverse pregnancy outcomes among women having gestational diabetes mellitus

Abstract To explore the influence of the 75 g oral glucose tolerance test (OGTT) on pregnancy outcomes and to determine the risk factors for adverse outcomes among women with gestational diabetes mellitus (GDM). This retrospective cohort study was conducted among women who had GDM and were treated between January 1, 2015 and December 31, 2017. The diagnostic criteria for GDM were proposed by the International Diabetes and Pregnancy Research Organization (IADPSG) in 2010. Women with GDM were stratified according to the number of abnormal OGTT values or the presence/absence of adverse pregnancy outcomes. Maternal characteristics, OGTT values, pregnancy outcomes, and the relationship between the latter 2 were analyzed. In total, 3221 pregnant women with GDM were included. The incidence of adverse outcomes was affected by maternal age (28–37 years, in particular; odds ratio [OR], 1.403; 95% confidence interval [CI], 1.037–1.899; P = .028), days of pregnancy (OR, 0.904; 95% CI, 0.894–0.914; P < .001), gestational weight gain (OR, 1.018; 95% CI, 1.000–1.036;, P = .048), and age of menarche (OR, 0.925; 95% CI, 0.863–0.992; P = .029). Both fasting plasma glucose (FPG) and 2-h OGTT were positively correlated with adverse outcomes, of which FPG was more predictive (FPG: OR, 1.143; 95% CI, 1.007–1.297; P = .038; 2-h OGTT: OR, 1.074; 95% CI, 1.018–1.133; P = .009). Meanwhile, higher abnormal OGTT values were associated with significantly increased risks of antenatal insulin treatment, cesarean delivery, premature delivery, gestational hypertension, premature rupture of membranes, preeclampsia, macrosomia, neonatal asphyxia, and full term low weight infants. OGTT values and the number of abnormal glucose are associated with various adverse pregnancy outcomes. Stratified management is recommended for pregnant women with GDM, especially those with fasting hyperglycemia and/or 3 abnormal OGTT values.
Deep Multimodal Features for Movie Genre and Interestingness Prediction

In this paper, we propose a multimodal framework for video segment interestingness prediction based on the genre and affective impact of movie content. We hypothesize that the emotional characteristic and impact of a video infer its genre, which can in turn be a factor for identifying the perceived interestingness of a particular video segment (shot) within the entire media. Our proposed approach is based on audio-visual deep features for perceptual content analysis. The multimodal content is quantified in a mid-level representation which consists in describing each audio-visual segment as a distribution over various genres (action, drama, horror, romance, sci-fi for now). Some segment might be more characteristic of a media and therefore be more interesting than a segment containing content with a neutral genre. Having determined the genre of individual video segments, we trained a classifier to produce an interestingness factor which is then used to rank segments. We evaluate our approach on the MediaEval2017 Media Interestingness Prediction Task Dataset (PMIT). We demonstrate that our approach outperforms the existing video interestingness approaches on the PMIT dataset in terms of Mean Average Precision.
Transdiagnostic neural correlates of volitional emotion regulation in anxiety and depression

Individuals who suffer from anxiety and/or depression face difficulty in adaptively managing emotional responses, while accumulating evidence suggests impaired emotion regulation is a transdiagnostic feature of psychopathology. Effectual regulation in the context of negative stimuli is characterized by engagement of the prefrontal cortex (PFC) coupled with reduced amygdala reactivity. In anxiety disorders and major depression, PFC underengagement and atypical PFC‐amygdala connectivity has been observed, although patient findings based on case–control studies have been mixed with regard to magnitude, locality, and extent of dysfunction. As anxiety disorders and major depression are heterogeneous disorders and frequently comorbid with one another, delineating relationships between reappraise‐related substrates and symptoms may advance our understanding of emotion dysregulation in these populations.
Vérification par model-checking de programmes concurrents paramétrés sur des modèles mémoires faibles. (Verification via Model Checking of Parameterized Concurrent Programs on Weak Memory Models)

Les multiprocesseurs et microprocesseurs multicœurs modernes mettent en oeuvre des modeles memoires dits faibles ou relâches, dans dans lesquels l'ordre apparent des operations memoire ne suit pas la coherence sequentielle (SC) proposee par Leslie Lamport. Tout programme concurrent s'executant sur une telle architecture et concu avec un modele SC en tete risque de montrer a l'execution de nouveaux comportements, dont certains sont potentiellement des comportements incorrects. Par exemple, un algorithme d'exclusion mutuelle correct avec une semantique par entrelacement pourrait ne plus garantir l'exclusion mutuelle lorsqu'il est mis en oeuvre sur une architecture plus relâchee. Raisonner sur la semantique de tels programmes s'avere tres difficile. Par ailleurs, bon nombre d'algorithmes concurrents sont concus pour fonctionner independamment du nombre de processus mis en oeuvre. On voudrait donc pouvoir s'assurer de la correction d'algorithmes concurrents, quel que soit le nombre de processus impliques. Pour ce faire, on s'appuie sur le cadre du Model Checking Modulo Theories (MCMT), developpe par Ghilardi et Ranise, qui permet la verification de proprietes de surete de programmes concurrents parametres, c'est-a-dire mettant en oeuvre un nombre arbitraire de processus. On etend cette technologie avec une theorie permettant de raisonner sur des modeles memoires faibles. Le resultat ce ces travaux est une extension du model checker Cubicle, appelee Cubicle-W, permettant de verifier des proprietes de systemes de transitions parametres s'executant sur un modele memoire faible similaire a TSO.
Feedback Topics in Modern Code Review: Automatic Identification and Impact on Changes

— Recent empirical studies show that the practice of peer-code-review improves software quality. Therein, the quality is examined from the external perspective of reducing the defects/failures, i.e., bugs, in reviewed software. There is a very little to no investigation on the impact of peer-code-review on improving the internal quality of software, i.e., what exactly is affected in code, due to this process. To this end, we conducted an empirical study on the human-to-human discourse about the code changes, which are recorded in modern code review tools in the form of review comments. Our objective of this study was to investigate the topics which are typically addressed via the textual comments. Although, there is an existing taxonomy of topics, there is no automatic approach to categorize code reviews. We present a machine-learning-based approach to automatically classify reviewer-to-reviewer and reviewer-to-developer comments on proposed code changes. We applied this approach on 468 code review comments of four open source systems, namely eclipse , mylyn , android and openstack . The results show that Evolvability categories are dominating topics. In an attempt to verify these observations, we analyzed the code changes that developers performed on receiving these comments. We identiﬁed several refactorings that are congruent with the topics of review comments. Refactorings are mechanisms to improve the internal structure of software. Therefore, our work provides initial empirical evidence on the effectiveness of peer-code-review on improving internal software quality.
A novel clustering algorithm for attributed graphs based on K-medoid algorithm

Abstract Articulateness and plasticity are two essential attributes that make a graph as an efficient model to real life problems. Nowadays, the attributed graph is received lots of attentions because of usability and effectiveness. In this study, a novel k-Medoid based clustering algorithm, which focuses simultaneously on both structural and contextual aspects using Signal and the weighted Jaccard similarities, are introduced. Two real life data-sets, Political Blogs and DBLP bibliography, are employed in order to evaluate and compare the proposed algorithm with state-of-the-art clustering algorithms. The results show the superiorities of the proposed algorithm in terms of cluster quality metrics.