Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Rehabilitation Medicine Residency Training in Performing Chemodenervation in Children with Cerebral Palsy in Thailand.

Background Chemodenervation (CD) involves injecting drugs such as phenol, botulinum toxin, or alcohol to reduce muscle spasticity. However, they interfere with daily activities of children with cerebral palsy (CP). Rehabilitation residency training in Thailand currently requires performing a minimum of five CD procedures. However, the effect of this policy on post-training practice is unknown. Objective To explore the influence of CD training during residency on post-training clinical practice and their current use of it in treating CP patients. Material and Method The questionnaires were sent to 431 Thai physiatrists nationwide by both electronic and postal mails. The responses were collected within a three-month period. Results Of 116 (27%) respondents with usable questionnaires, 85 (73%) were trained during their residency to perform CD and 46 (40%) performed it in their practice. Those trained to perform CD were more likely in their subsequent practice to do so (p = 0.0140), and younger age was associated with performing it (p = 0.0055). The number of CD procedures performed during residency correlated directly with reported confidence in performing the procedure in later practice (p<0.0001). The most common reasons for not performing CD were few CP cases in their care, and unavailable equipment or injection agent. Conclusion Although only a cross-sectional study, the findings suggest that increasing the number of CD procedures required in rehabilitation residency may increase the use of CD to benefit CP patients in future clinical practice.
Worst-Case Flutter Margins from F/A-18 Aircraft Aeroelastic Data

An approach for computing worst-case flutter margins has been formulated in a robust stability framework. Uncertainty operators are included with a linear model to describe modeling errors and flight variations. The structured singular value, pt, computes a stability margin which directly accounts for these uncertainties. This approach introduces a new method of computing flutter margins and an associated new parameter for describing these margins. The n margins are robust margins which indicate worst-case stability estimates with respect to the defined uncertainty. Worst-case flutter margins are computed for the F/A-18 SRA using uncertainty sets generated by flight data analysis. The robust margins demonstrate flight conditions for flutter may lie closer to the flight envelope than previously estimated by p-k analysis.
A New Approach to EMG Analysis of Closed-Circuit Movements Such as the Flat Bench Press

Background: The bench press (BP) is a complex exercise demanding high neuromuscular activity. Therefore, the main objective of this study was to identify the patterns of muscular activity of the prime movers on both sides of an elite powerlifter. Methods: A World Champion (RAW PR 320 kg) participated in the study (age: 34 years; body mass: 103 kg; body height 1.72 m; one-repetition maximum (1 RM) flat bench press: 220 kg). The subject performed one repetition of the flat bench press with: 70% 1 RM (150 kg) and 90% 1 RM (200 kg) in tempos: 2 s eccentric and 1 s concentric phase; 6 s eccentric and 1 s concentric phase). The activity was recorded for: pectoralis major, anterior deltoid, and triceps brachii (lateral and long head). Results: The total sum of peak muscle activity for the four analyzed muscles during both phases of the BP with the different loads and tempos was significantly different, and greater on the right side of the body. Conclusions: The use of lighter loads activate muscle groups in a different activation level, allowing for a greater muscle control. Lifting submaximal and maximal loads causes an activation of most motor units involved in the movement. Experienced athletes have a stabilized neuromuscular pattern for lifting which has different bilateral activity contribution.
Reducing distribution losses using distributed end-user reactive power support

Distribution losses are one of the major concern for India. According to central electricity authority(CEA) executive summary report May 2017 transmission and distribution losses accounts for about 22%. These losses can be reduced by improving power factor via local reactive power supply. In order to address the above issue this paper proposes a method for distributed reactive power support using end user equipment. The main contribution of this paper is to find the optimal bus location for reactive power injection considering the availability. A sensitivity matrix for power loss with reactive power injection is built for finding the optimal bus location subject to the availability of reactive power support at that location. In order to demonstrate the proposed solution approach, a IEEE 33 bus radial distribution system is taken. Results of the case study are obtained by using MATLAB programming and the same are presented. Obtained results show about 30% of reduction in losses and improvement in the voltage profile.
Real-Time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments

In the context of underwater robotics, the visual degradation induced by the medium properties make difficult the exclusive use of cameras for localization purpose. Hence, many underwater localization methods are based on expensive navigation sensors associated with acoustic positioning. On the other hand, pure visual localization methods have shown great potential in underwater localization but the challenging conditions, such as the presence of turbidity and dynamism, remain complex to tackle. In this paper, we propose a new visual odometry method designed to be robust to these visual perturbations. The proposed algorithm has been assessed on both simulated and real underwater datasets and outperforms state-of-the-art terrestrial visual SLAM methods under many of the most challenging conditions. The main application of this work is the localization of Remotely Operated Vehicles used for underwater archaeological missions, but the developed system can be used in any other applications as long as visual information is available.
Survival And Pleurodesis Response Markers In Malignant Pleural Effusion-The Promise Study

management strategies. Additionally our results identify four biological pathways with the potential to guide novel treatments of MPE. developed using clinical data from three existing patient cohorts combined with biochemical measurements of pleural fluid and has not been prospectively assessed. This study reports the development and validation of the survival and pleurodesis response markers in MPE (PROMISE), the first score dedicated to the prospective assessment of the survival of patients with MPE simultaneously employing clinical, biological, and radiological parameters. Data and samples from patients recruited to previously published multinational, multicentre clinical trials with identical and established recruitment criteria were used.
Landscape Boolean Functions

In this paper we define a class of Boolean and generalized Boolean functions defined on $\mathbb{F}_2^n$ with values in $\mathbb{Z}_q$ (mostly, we consider $q=2^k$), which we call landscape functions (whose class containing generalized bent, semibent, and plateaued) and find their complete characterization in terms of their components. In particular, we show that the previously published characterizations of generalized bent and plateaued Boolean functions are in fact particular cases of this more general setting. Furthermore, we provide an inductive construction of landscape functions, having any number of nonzero Walsh-Hadamard coefficients. We also completely characterize generalized plateaued functions in terms of the second derivatives and fourth moments.
Application of Isobaric Tags for Relative and Absolute Quantification (iTRAQ) Coupled with Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry in Quantitative Proteomic Analysis for Discovery of Serum Biomarkers for Idiopathic Pulmonary Fibrosis

Background The present study was performed to explore the presence of informative protein biomarkers of human serum proteome in idiopathic pulmonary fibrosis (IPF). Material/Methods Serum samples were profiled using iTRAQ coupled with two-dimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) technique, and ELISA was used to validate candidate biomarkers. Results A total of 394 proteins were identified and 97 proteins were associated with IPF. Four biomarker candidates generated from iTRAQ experiments – CRP, fibrinogen-α chain, haptoglobin, and kininogen-1 – were successfully verified using ELISA. Conclusions The present study demonstrates that levels of CRP and fibrinogen-α are higher and levels of haptoglobin and kininogen-1 are lower in patients with IPF compared to levels in healthy controls. We found they are useful candidate biomarkers for IPF.
The story of tyrosine kinase inhibitors discontinuation in clinical practice

Abstract Chronic myeloid leukemia is the first example of successful clinical use of tyrosine kinase inhibitors (TKIs). Blockade of oncogenic BCR-ABL1 tyrosine kinase activity by imatinib translated into an impressive demonstration of clinical and biological control of the disease. Historically, the primary objective of TKIs use was to achieve long-term survival. Today this is a reality for the majority of patients. The rapid development of BCR-ABL1 quantification by RT-qPCR has facilitated the monitoring of residual disease. Molecular response has emerged as a new therapeutic objective, opening the door to TKIs discontinuation. The first prospective stop study in patients in deep molecular response was initiated in 2004, with today nearly 15 years of follow-up. The pioneering observations of this study followed by numerous stop-studies have led to a new therapeutic goal of treatment-free remission. Five cases of patients who discontinued TKIs are reviewed, illustrating the current issues and challenges surrounding this approach.
Sentiment, Contents, and Retweets: A Study of Two Vaccine-Related Twitter Datasets.

INTRODUCTION Social media platforms are important channels through which health education about the utility and safety of vaccination is conducted. OBJECTIVE To investigate if tweets with different sentiments toward vaccination and different contents attract different levels of Twitter users' engagement (retweets). METHODS A stratified random sample (N = 1425) of 142,891 #vaccine tweets (February 4, 2010, to November 10, 2016) was manually coded. All 201 tweets with 100 or more retweets from 194,259 #vaccineswork tweets (January 1, 2014, to April 30, 2015) were manually coded. Regression models were applied to identify factors associated with retweet frequency. RESULTS Among #vaccine tweets, provaccine tweets (adjusted prevalence ratio = 1.5836, 95% confidence interval = 1.2130-2.0713, p < 0.001) and antivaccine tweets (adjusted prevalence ratio = 4.1280, 95% confidence interval = 3.1183-5.4901, p < 0.001) had more retweets than neutral tweets. No significant differences occurred in retweet frequency for content categories among antivaccine tweets. Among 411 links in provaccine tweets, Twitter (53; 12.9%), content curator Trap.it (14; 3.4%), and the Centers for Disease Control and Prevention (8; 1.9%) ranked as the top 3 domains. Among 325 links in antivaccine tweets, social media links were common: Twitter (44; 14.9%), YouTube (25; 8.4%), and Facebook (10; 3.4%). Among highly retweeted #vaccineswork tweets, the most common theme was childhood vaccinations (40%; 81/201); 21% mentioned global vaccination improvement/efforts (42/201); 29% mentioned vaccines can prevent outbreaks and deaths (58/201). CONCLUSION Engaging social media key opinion leaders to facilitate health education about vaccination in their tweets may allow reaching a wider audience online.
Non-Coding RNAs and Resistance to Anticancer Drugs in Gastrointestinal Tumors

Non-coding RNAs are important regulators of gene expression and transcription. It is well established that impaired non-coding RNA expression especially the one of long non-coding RNAs and microRNAs is involved in a number of pathological conditions including cancer. Non-coding RNAs are responsible for the development of resistance to anticancer treatments as they regulate drug resistance-related genes, affect intracellular drug concentrations, induce alternative signaling pathways, alter drug efficiency via blocking cell cycle regulation, and DNA damage response. Furthermore, they can prevent therapeutic-induced cell death and promote epithelial–mesenchymal transition (EMT) and elicit non-cell autonomous mechanisms of resistance. In this review, we summarize the role of non-coding RNAs for different mechanisms resulting in drug resistance (e.g., drug transport, drug metabolism, cell cycle regulation, regulation of apoptotic pathways, cancer stem cells, and EMT) in the context of gastrointestinal cancers.
Spontaneous Improvement After Acute Ischemic Stroke

Recent clinical studies emphasize the importance of early (<12 hours after onset) treatment of patients with acute ischemic stroke. Therapies have been proposed as being effective because of early clinical improvement. The frequency and degree of spontaneous improvement in such patients, however, is unknown. We prospectively evaluated the course of 29 patients (19 men, 10 women) aged 33-82 years who were seen < 12 hours after the onset of acute ischemic stroke. Seventeen patients were first evaluated <6 hours and the remaining patients at 6-12 hours after onset. All patients were examined using a modified National Institutes of Health Stroke Scale at baseline, 1,2,3, and 6 hours. No specific treatment for acute ischemic stroke was given during this time. Improvement (defined as a decrease of >2 points from baseline score) was noted at 1 hour in seven patients (24%). By 6 hours 15 patients (52%) had improved, 12 (41%) were unchanged, and two (7%) were worse. Our results suggest that spontaneous, often dramatic improvement occurs in patients with acute ischemic stroke and should be taken into consideration in the design of any trial of acute treatment. (Stroke 1990;21:1008-1012)
Responding to student expectations for assessments

In a previous paper (Bacon 2003) the author described some of the results obtained from a survey of the use of the SToMP testing system for coursework assessment of a first year Data Handling course within a Physics Degree programme. This paper will deal with the modifications that have been made as a result of the student feedback from that trial, with a preliminary analysis of the feedback obtained from the students using the updated tests, and with a further trial of a more sophisticated response to the feedback. The SToMP testing system was written to be direct implementation of the IMS-QTI v1.2 specification, but includes several extensions for handling numeric questions of the type most frequently found within science and engineering. Such questions typically require a numeric answer to be judged by its precision (e.g. the number of significant figures) as well as its accuracy (i.e. whether the value falls within a specified range) and to be able to recognised alternative forms of the same value and precision in scientific format. These features were mapped onto an extension of the QTI specification for ease of implementation, and included other features such as alternative number bases and the randomisation of values within questions. The questionnaire that was used in the earlier paper has been used again with the current cohort of students using an updated version of the testing system and with some questions having been modified in the light of earlier feedback. A major objection voiced by the students in the first trial was the lack of ability to show working, and to get credit for correct working if the final numeric answer was incorrect. This has not been directly addressed within these tests, but an associated problem has been addressed. This concerns multi-part questions and the awarding of marks for later parts that are not correct, but are consistent with earlier errors. The paper will discuss some of the issues relevant to this feature, and how it was perceived by students. Results will also be presented from a second study into how correct working for incorrect answers to numeric questions can be credited, to some extent. This system allows numeric expressions to be entered by the students as well as their final numeric value. It has been implemented in a test for second year students on a course concerned with radiation detectors. Clearly this is not being represented as a total solution to the problem but it can be seen as a first step towards an acceptable solution. The student responses to this development could be of particular significance, since they are the same students whose responses have been reported in the earlier paper and that led to the changes being reported here.
Data Mining: Machine Learning and Statistical Techniques

The interdisciplinary field of Data Mining (DM) arises from the confluence of statistics and machine learning (artificial intelligence). It provides a technology that helps to analyze and understand the information contained in a database, and it has been used in a large number of fields or applications. Specifically, the concept DM derives from the similarity between the search for valuable information in databases and mining valuable minerals in a mountain. The idea is that the raw material is the data to analyse, and we use a set of learning algorithms acting as diggers to search for valuable nuggets of information (Bigus, 1996). We offer an applied vision of DM techniques, in order to provide a didactic perspective of the data analysis process of these techniques. We analyze and compare the results from applying machine learning algorithms and statistical techniques, under DM methodology, in searching for knowledge models that show the structures and regularities underlying the data analysed. In this sense, some authors have pointed out that DM consists of “the analysis of (often large) observational datasets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner” (Hand, Mannila & Smyth, 2001), or, more simply, “the search for valuable information in large volumes of data” (Weiss & Indurkhya, 1998), or “the discovery of interesting, unexpected or valuable structures in large databases” (Hand, 2007). Other authors define DM as “the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules” (Berry & Linoff, 2004). These definitions make it clear that DM is an appropriate process for detecting relationships and patterns in large databases (although we point out that it can also be applied in relatively small databases). In this sense, the concept of Knowledge Discovery in Databases (KDD) has been frequently used in the literature to define this process (Han & Kamber, 2000, 2006; Hand et al., 2001), specifying that DM is a stage of the process, and highlighting the need for a previous stage of integration and collection of data (if we start with large raw databases), and also the stage of cleaning and preparing data (data pre-processing) before building descriptive/predictive models in the DM stage (applying suitable techniques to the analysis requirements). On the other hand, several authors have used the concept of DM (instead of KDD) to refer to the complete process (Bigus, 1996; Two Crows, 1999; Paul, Guatam & Balint, 2002; Kantardzic, 2003; Ye, 2003; Larose, 2005).
Semigroups of stochastic gradient descent and online principal component analysis: properties and diffusion approximations

We study the Markov semigroups for two important algorithms from machine learning: stochastic gradient descent (SGD) and online principal component analysis (PCA). We investigate the effects of small jumps on the properties of the semi-groups. Properties including regularity preserving, $L^{\infty}$ contraction are discussed. These semigroups are the dual of the semigroups for evolution of probability, while the latter are $L^{1}$ contracting and positivity preserving. Using these properties, we show that stochastic differential equations (SDEs) in $\mathbb{R}^d$ (on the sphere $\mathbb{S}^{d-1}$) can be used to approximate SGD (online PCA) weakly. These SDEs may be used to provide some insights of the behaviors of these algorithms.
The Rectangular Seeds of Domineering, Atari-Go and Breakthrough

Recently, a methodology has been proposed for boosting the computational intelligence of randomized game-playing programs. We modify this methodology by working on rectangular, rather than square, matrices; and we apply it to the Domineering game. At CIG 2015, We propose a demo in the case of Go. Hence, players on site can contribute to the scientific validation by playing (in a double blind manner) against both the original algorithm and its boosted version.
ERULIC ACID INDUCES NEURAL PROGENITOR CELL ROLIFERATION IN VITRO AND IN VIVO

bstract—Ferulic acid (4-hydroxy-3-methoxycinnamic acid; A) is a plant constituent and is contained in several medicnal plants for clinical use. In this paper, we investigated the ffects of FA on the proliferation of neural stem/progenitor ells (NSC/NPCs) in vitro and in vivo. FA significantly inreased the proliferation of NSC/NPCs cultured from the telncephalon of embryonic day-14 rats, and increased the umber and size of secondary formed neurospheres. An in itro differentiation assay showed that FA did not affect the ercentage of either neuron-specific class III -tubulin (Tuj)-positive cells or glial fibrillary acidic protein (GFAP)-posiive cells in the total cell population. Oral administration of FA ncreased the number of newly generated cells in the dentate yrus (DG) of the hippocampus of corticosterone (CORT)reated mice, indicating that FA enhances the proliferation of dult NSC/NPCs in vivo. We also found that oral administraion of FA increased cAMP response element binding protein CREB) phosphorylation and brain-derived neurotrophic facor (BDNF) mRNA level in the hippocampus of CORT-treated ice, and ameliorated the stress-induced depression-like beavior of mice. These novel pharmacological effects of FA ay be useful for the treatment of mood disorders such as epression. © 2010 IBRO. Published by Elsevier Ltd. All ights reserved.
OPERON: Optical-electrical Power-efficient Route Synthesis for On-chip Signals

As VLSI technology scales to deep sub-micron, optical interconnect becomes an attractive alternative for on-chip communication. The traditional optical routing works mainly optimize the path loss, and few works explicitly exploit the optical-electrical co-design of on-chip interconnects. To overcome these limitations, we present an efficient framework that directs the hybrid optical and electrical routes with a global view of power optimization. In this framework, on-chip signal bits are processed as hyper nets; the combination of optical and electrical routes are designed for hyper nets; then a formulation is given to find the appropriate solution of each hyper net and follows a speed-up algorithm; a min-cost max-flow network is utilized to reduce the consumed optical waveguides. Experimental results demonstrate the effectiveness of the proposed framework.