Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Two-Dimensional Materials in Electrocatalysis and Their Potential Applications

Two-dimensional materials are crystalline materials consist of a single layer of atoms and sometimes referred to as single layer materials. Electrocatalytic energy conversion using renewable power sources is one of the most promising ways for energy storage and energy utilization in the new century. Over the past years, a great number of two-dimensional (2D) materials have been explored for various electrocatalytic reactions, such as the hydrogen evolution reaction, Carbon (IV) oxide (CO2) reduction reaction and Oxygen (O2) reduction reaction. This research provides an overview on the synthesis techniques of materials including bottom up approaches such as chemical vapor deposition (CVD) and physical vapor deposition (PVD) and top-down approaches like mechanical exfoliation, chemical exfoliation. Then, the characterization techniques of the two-dimensional (2D) materials such as Raman spectroscopy, X-ray diffraction, temperature-dependent resistivity and magnetic susceptibility and scanning tunneling microscopy (STM) are reviewed. Finally, potential applications of two-dimensional (2D) materials and conclusion, challenges and future work are discussed.
Online Ensemble Learning of Sensorimotor Contingencies

—Forward models play a key role in cognitive agents by providing predictions of the sensory consequences of motor commands, also known as sensorimotor contingencies (SMCs). In continuously evolving environments, the ability to anticipate is fundamental in distinguishing cognitive from reactive agents, and it is particularly relevant for autonomous robots, that must be able to adapt their models in an online manner. Online learning skills, high accuracy of the forward models and multiple-step-ahead predictions are needed to enhance the robots’ anticipation capabilities. We propose an online heterogeneous ensemble learning method for building accurate forward models of SMCs relating motor commands to effects in robots’ sensorimotor system, in particular considering proprioception and vision. Our method achieves up to 98% higher accuracy both in short and long term predictions, compared to single predictors and other online and ofﬂine homogeneous ensembles. This method is validated on two different humanoid robots, namely the iCub and the Baxter.
INFLUENCE OF SENSORY-MOTOR COORDINATION ON THE TECHNICAL TRAINING IN WOMEN ’ S ARTISTIC GYMNASTICS

Artistic gymnastics practicing requires particular aptitudes from those who wish to achieve special performances. This paper aims to highlight the influence of sensory-motor coordination on the technical training in women’s artistic gymnastics. With this aim in view we have considered that the assessment of sensory-motor coordination, consistent with the biomechanical analysis of the key elements of sports technique, would highlight their influence on the technical training and on the performances achieved in competition. The study was conducted throughout the period November – December 2012 on a group of 9 junior female gymnasts 12 to 14 years old, members of the Olympic team of juniors of Deva. The work intends an ascertaining study of the training level of the junior gymnasts who are included in a research that will be carried out during the post doctoral studies. The results of the study highlight the development of sensory-motor coordination in terms of spatial-temporal coordination, balance and vestibular coordination; kinematic and dynamic analysis of the key elements of sports technique regarding the trajectories of body segments, the angular speeds and the momentum of force in the backward giant with handstand 360o twist on uneven bars; there are also shown the results achieved in competition as for the score D, E and final score on apparatus.
Efficient Korean Name String Similarity Algorithm based on Character of Korean Name and Korean Alphabet

For patient information identification, demographic fields (name and address), and medical information (medical history) are compared in order to measure the similarities. The improvement of algorithm related to Koreans’ Hangul name is necessary in the individual distinguishing part in order to introduce MPI system matching Korea. Since Hangul is a type of combination, we cannot match the names more exactly by the onedimensional distance comparative function which was used in existing English. This paper suggests the algorithm for the Korean name comparison.
An optimal algorithm for scheduling checkpoints with variable costs

Since the last decade, computing systems turn to large scale parallel platforms composed of thousands of processors. Many actual applications run on such systems for long duration, up to several days or weeks. Recently, statistic studies about failures on high performance computing platforms emphasize that the mean time between failures may not exceed few hours. Thus, it is necessary to develop effcient strategies providing a safe and reliable completion of applications. This may be achieved through redundancy or by storing intermediate computation states on reliable external devices. Saved states are then used to restart computations from the last checkpoint. This last approach called checkpointing is one of the most popular fault tolerance technique in parallel systems.
Nasal administration of muscone promotes cAMP-PKA-CREB signaling in rats with traumatic brain injury

There is a lack of data on the effects of muscone and on the best administration approach for the management of traumatic brain injury (TBI). The goal of this study was to observe the effect of muscone intranasal administration on cAMP-PKA-CREB signaling in TBI rats, and to explore the mechanism of muscone on protecting the brains. Sprague-Dawley rats were randomized into the sham operation group, TBI group, the muscone group (nasal administration), and the control group (intragastric administration) (50/group). The TBI model was established through controlled cortical impact. In the muscone group, muscone (1.8 mg/kg) was administered by nasal circulation perfusion for 7 days, 30 minutes/time, 2 times/day. Brain water content was detected before muscone intervention (T1) and on the third (T2), fifth (T3), and seventh (T4) days after intervention. Immunohistochemistry was used to detect the expression of PKA and CREB in brain tissues. Compared with the sham group, the brain water content of the TBI group was higher (P<0.05) and the expression of PKA-CREB were lower on T2-T4 (P<0.05). Compared with the TBI group, the brain water content was lower (P<0.05) and the PKA-CREB levels were higher in both muscone groups (P<0.05), especially in the muscone group with intranasal administration. Muscone can reduce cerebral edema and activate the PKA-CREB signal pathway, providing some effective brain protection. Intranasal administration of muscone could be a new way for brain protection in the treatment of TBI. Nasal administration could be more efficient than gastric administration. Clinical trials could be implemented to examine this way of administration.
AUTONOMOUS SYSTEM FOR DETECTION OF DEFECTS IN RAILS BY IMAGE PROCESSING

India is the fourth country which having largest railway network in the world. However, considering the reliability and safety parameters, India railway not yet reached authentically global standards. The main cause of 60% of accidents is derailment due to defect of crack present in railway tracks. This paper recommended a cost effective solution to develop Autonomous Robotic vehicle that is used to detect the exact location of cracks in Rails continuously using Image Processing which mended immediately by control room. This information can be used to warn the drivers and also take up the maintenance work so that the chance of derailment and accidents is reduced. The robot consists of a camera on both sides, which will be acquire images continuously and detects discontinuities and cracks more accurately up to 1mm using Image Processing. The image of the crack transmits to the nearby station along with the exact location and size of the crack using the wireless device. The control station then determines the nature of the crack and then warns the incoming trains accordingly. The vehicle will also keep track of all the cracks, so that it can be taken for maintenance later.
Motivational factors enhancing student involvement in physical education

The lack of student participation in physical education appears to be a problematic issue. The purpose of this project was to examine motivational factors' that increase student participation in physical education. The factors reviewed in this project were student perspective, attitudes, situational interest, feelings of enjoyment, encouragement, curriculum change, confidence, intrinsic motivation, and goal orientation. For the method, a review of literature was conducted to examine factors that affect the increase of student participation in physical education. Results were found to be similar to the review of literature, such as allowing students to make decisions about the activities they participate in and teacher awareness of students' attitudes and feelings, and being willing to change the curriculum to enhance student participation in physical education. Bandura's, (1991) Theory of Self-Efficacy plays a significant role in motivating student participation. For instance, Bandura (1991) claims that people motivate themselves and choose their own actions by way of forethought. Beliefs are formed and the anticipation of outcomes become prospective actions, as well as, setting goals for one-self (Bandura,
Toward an open-source tool for pattern-based progressive analytics on interaction traces

Due to the ever increasing use of data analysis tools, their performance has become an important scientific question, notably regarding the tools’ ability to assist the analyst using them. We present our first proposals toward building a data analysis tool allowing an analyst to interact with his pattern mining algorithm, while working with interaction traces. First, we present an architecture for such a system, based on the ideas of progressive analytics. We then present our work toward a first implementation of this architecture.
Why Low-Volatility Stocks Outperform : Market Evidence on Systematic Risk versus Mispricing

We explore whether the well publicized anomalous returns associated low-volatility stocks can be attributed to market mispricing or to compensation for higher systematic risk. Our results, conducted over a 46 year study period (19622008), indicate that the high returns related to low-volatility portfolios cannot be viewed as compensation for systematic factor risk. Instead, the excess returns are more likely to be driven by market mispricing as perhaps associated with an imperfection such as some investor irrationality connected with volatility.
Assessing quality of life dimensions of residents living near industrial zones – A case from Yen Binh industrial zone in Thai Nguyen City , Vietnam

Research on quality of life (QOL) is increasingly drawing the attention of planners because of its necessary in evaluating and overseeing public policies. Therefore, an effort has been made in this study to assess the QOL of people staying near Yen Binh industrial zone in Thai Nguyen city, Vietnam using 44 subjective life indicators to measure the overall life satisfaction. The structural equation modelling (SEM) was conducted to determine relationship between variables in the model. The results of the study showed that based on standardized regression weight the landdwellings and utility services dimension had highest contribution toward the prediction of quality of life satisfaction in compare with income-employment dimension and environmental dimension among the quality of life dimensions. It is hoped that the data gathered from this study can be used by planners in formulating and implementing future policies.
Evaluation of the level of anaerobic power and its effect on speed climbing performance in elite climbers TRENDS in Sport Sciences

1 University School of Physical Education in Cracow, Institute of Sport, Department of Track and Field’s Sports, Kraków, Poland 2 University School of Physical Education in Cracow, Institute of Sport, Doctor Courses, Kraków, Poland 3 University School of Physical Education in Cracow, Department of Tourism and Leisure, Section of Mountaineering and Qualified Tourism, Kraków, Poland 4 University of Warsaw, Department of Physical and Sport Education, Warszawa, Poland 5 University School of Physical Education in Cracow, Institute of Sport, Department of Gymnastics, Kraków, Poland 6 University School of Physical Education in Cracow, Institute of Biomedical, Department the Biological Renovation and the Correction of Defects of Attitudes, Kraków, Poland 7 University School of Physical Education in Cracow, Institute of Sport, Department of Gymnastics, Kraków, Poland 8 The Jerzy Kukuczka Academy of Physical Education, Department of Individual Sports, Katowice, Poland 9 State Higher Vocational School in Tarnow, Institute of Health, Tarnów, Poland 10 Matej Bel University, Faculty of Phylosophy, Department of Physical Education and Sports, Banská Bystrica, Slovakia Evaluation of the level of anaerobic power and its effect on speed climbing performance in elite climbers TRENDS in Sport Sciences 2018; 3(25): 149-158 ISSN 2299-9590 DOI: 10.23829/TSS.2018. 25.3-5
The Political Construction of Immigration in Italy : opportunities , mobilisation and outcomes

This article applies insights from social movement research to analyse the empirical ca­ se of the political construction of immigration in Italy (1985-1995). A model is develo­ ped for linking the field of mobilisation over ethnic difference to the context of oppor­ tunities which define the potential for social movements to impact on immigration. A key theoretical point is that political opportunities are constituted by combinations of discursive and institutional contexts that vary over time. Our comparison of three politi­ cal responses to immigration (1986; 1990; 1995), shows that the politicisation of immi­ gration has resulted in an increasingly more restrictive policy approach. Important in understanding this process was the collapse of the First Republic and with it the relative stability and political control provided by the established ‘centrist’ parties. This opened up a space for new cultural definitions for politics. A xenophobic social movement, the Northern League, was able to profit from this unusual situation and achieve some suc­ cess in stigmatising immigrants in the public domain as a ‘cause’ of national problems.
FRLDM: A Self-Optimizing Algorithm for Data Migration in Distributed Storage Systems

In distributed storage systems, data migration is an efficient method for improving system resource utility and service capacity, and balancing the load. However, the user accessing is changing over time and the state of a distributed system is in an unpredictable stochastic fluctuation, hence traditional heuristic policy- based methods are hard to work in such environment. This paper proposes a fuzzy reinforcement learning method for online data migration named FRLDM which can enable the systems to self-optimize and dynamically choose the candidate data for migration based on their recent access pattern and the current state of the system, thus minimizing the average access response time. The experimental results prove that FRLDM can improve the accesses performance significantly compared with heuristic policy-based methods.
Differential Fmo 3 gene expression in various liver injury models involving hepatic oxidative stress in mice

Flavin-containing monooxygenase-3 (FMO3) catalyzes metabolic reactions similar to cytochrome P450 monooxygenase however, most metabolites of FMO3 are considered non-toxic. Recent findings in our laboratory demonstrated Fmo3gene induction following toxic acetaminophen (APAP) treatment in mice.The goal of this study was to evaluate Fmo3gene expression in diverseother mouse models of hepatic oxidative stress and injury. Fmo3 gene regulation by Nrf2 was also investigated using Nrf2 knockout (Nrf2 KO) mice. In our studies, male C57BL/6J mice were treated with toxic dosesof hepatotoxicants or underwent bile duct ligation (BDL, 10d). Hepatotoxicants included APAP (400 mg/kg, 24 to 72h), alpha-naphthylisothiocyanate (ANIT; 50 mg/kg, 2 to 48h), carbontetrachloride (CCl4;10 or 30 μL/kg, 24 and 48h) and allyl alcohol (AlOH; 30 or 60 mg/kg, 6 and 24h). Because oxidative stress activates nuclear factor (erythroid-derived 2)-like 2 (Nrf2), additional studies investigated Fmo3 gene regulation by Nrf2 using Nrf2 knockout (Nrf2 KO) mice. At appropriate time-points, blood and liver samples were collected for assessment of plasma alanine aminotransferase (ALT) activity, plasma and hepatic bile acid levels, as well as liver Fmo3 mRNA and protein expression. Fmo3 mRNA expression increased © 2014 Elsevier Ireland Ltd. All rights reserved. Corresponding Author: Dr. José E. Manautou Toxicology Program, Department of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, CT 06269-3092 Phone: (860) 486-3852 Fax: (860) 486-5792 jose.manautou@uconn.edu. swetha.rudraiah@uconn.edu jamie.moscovitz@rutgers.edu ajaydonepudi@gmail.com sarah.campion@pfizer.com angela_slitt@ds.uri. edu aleksunes@eohsi.rutgers.edu Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Conflict of interest The authors declare that there are no conflicts of interest. HHS Public Access Author manuscript Toxicology. Author manuscript; available in PMC 2015 November 05. Published in final edited form as: Toxicology. 2014 November 5; 325: 85–95. doi:10.1016/j.tox. 2014.08. 013. A uhor M anscript
Climate Smart Dairy & Beef

Production efficiency in the dairy and beef industry can be defined as minimizing the amount of 7 inputs (e.g., feed, fossil fuels) and outputs (e.g., ammonia, NH3; greenhouse gases, GHG) to 8 produce a given quantity of milk or meat. The present paper will focus on the dairy example. 9 Production efficiency improvements can come from minimizing waste, maximizing a dairy 10 cow’s milk production, and maximizing the proportion of her life spent in peak milk production 11 without sacrificing animal health and well-being. To a degree, when milk production per cow is 12 improved, the life-cycle emissions of dairy production decrease per unit of milk (i.e., per kg of 13 3.5% FCM; VandeHaar and St-Pierre; 2006). This is achieved through a dilution of maintenance 14 costs per kilogram of FCM at the level of both the individual cow and the entire US dairy 15 production system. Cows that produce more milk reduce the proportion of total consumed 16 feedstuffs going toward maintenance energy costs (Moe and Tyrell, 1975; Bauman et al., 1985; 17 VandeHaar, 1998). Secondarily, more milk per cow can decrease the total lactating herd size 18 needed to produce a given quantity of milk (Capper et al., 2008, 2009). Past improvements 19 demonstrate the ability of production efficiency to decrease the environmental impact per unit of 20 milk. Capper et al. (2009) found that historical advances in genetics, nutrition, and management 21 of dairy farms allowed dairy production in 2007 to emit 43% of the CH4 and 56% of the N2O 22 that were emitted in 1944 to produce one billion kilograms of milk. As the following sections 23 demonstrate, more opportunities for improving a dairy’s production efficiency exist that could 24 lead to further reductions in emissions per kilogram of FCM. 25
Development of low-cost event marker for EEG-based emotion recognition

The study of changes in physiological signals for emotion recognition in human subjects has generated immense interest in medical instrumentation. One of the effective ways of classifying emotions is by the use of the event-related potentials (ERPs) of electroencephalogram (EEG) signals. This requires projection of an image on one computer system while simultaneously putting a marker on another computer system acquiring the EEG. This is achieved using costly modules to synchronize the stimulus presentation system with the data acquisition system. This paper describes an innovative low-cost technique to achieve this simultaneous triggering on the second computer system using the parallel operation of mechanical keyboards. The latency aspect of both USB and PS/2 keyboards with their two keys galvanically connected have been experimentally analysed and compared. It has been found experimentally that the USB keyboards, if used in cognition research, would give better latency results compared with the PS/2 keyboards. The synchronization error between the two USB keyboards has been found to be lower than or equal to 1 ms for the maximum number of keystrokes. The horizon of applications of this technique is unlimited and it can be used in almost every sphere of cognition enhancement and research, where a perfect synchronization of the brain stimulus with the corresponding physiological signals being acquired is required.
The Head-trace Mouse for Elderly : A Human-Computer Interaction System Based on Detection of Poses of Head and Mouth

This paper presents the design of a human-computer interaction system to operate a computer by the movements of head and mouth. First, the camera captures the user’s head image, and then determines the user’s head and mouth poses, including Head Left, Head Right, Head Up, Head Down, Mouth Open and Mouth Close, based on Adaboost detection algorithm. Different combinations of poses of the head and mouth are mapped to different mouse commands to operate a computer. Mouse commands consist of the sets of mouse move, click, drag, etc. This paper describes a map from the poses of head and mouth to mouse operations is designed through the principle of state machine. We also developed a commercial product, which provides a convenient way to operate computers for elderly and disabilities. Keyword: Face detection, adaboost, state machine, human-computer interaction
Review on Localized Brand Personality in China

This paper finds out that the researches on localized brand personality in China mainly focus on jewelry brand, media brand, clothing brand, animation brand and travel destination brand, based on the researches on domestic and foreign brand personality dimensions and localized brand personality. These studies are based on the “Big Five” brand personality dimension system developed by Aaker (1997) and the Chinese localized brand personality dimension and scale system developed by Huang & Lu (2003) to construct a localized brand personality dimension scale. There is still a lack of research on the localization brand personality of fresh agricultural products, which can be used as a key content for future research by scholars.
Equilibria in a Capacity-Constrained Di ¤ erentiated Duopoly

In this paper I analyze the model of price-setting duopoly with capacity-constrained rms producing di¤erentiated products. I show that a pure strategy equilibrium exists if the capacities of the rms are both small or both large. For the other capacity values, mixed strategy equilibria exist, with the support of the price distribution either being an interval or consisting of a nite number of points. I show that if before the price competition the rms simultaneously choose their capacity levels, their optimal choice of capacities would lead to a pure strategy equilibrium in prices. The optimal capacity levels decrease with an increase in consumer heterogeneity.