Miracle-dz/UniFAR-FTUs huggingface dataset:
The development of coordination abilities in non-integrated students and correction of behavior disorders in integrated students through engaging in movement games

Introduction: The primary aim of the study was to determine the effect of movement games on the development of motor coordination in prepubertal non-integrated students and the correction of behavior disorders in integrated students. Material and Methods: A randomly selected sample consisted of 7to 10-year-old non-integrated and integrated students with behavior disorders attending elementary schools. To test motor coordination, Körperkoordinationstest für Kinder (KTK) was administered. Exercise programs that cover relatively the dominant areas of motor behavior can be an effective learning tool to be used with children. As part of our research, we have developed a model of movement games that are attractive to children. To monitor behavior of children, Vanderbilt assessment scale for the assessment of students’ behavior was administered. The NICHQ scale is available in two versions – teacher informant and parent informant. To process and evaluate collected data, we applied the following statistical methods were used: descriptive statistical characteristics, normality of data distribution – Shapiro-Wilk test, parametric paired samples t-test, or non-parametric paired samples t-test, and a test of relative frequencies. Results: Non-integrated children – development of coordination: groups of girls showed higher levels of the following motor abilities: dynamic balance, ability to connect movements, and kinesthetic-differentiation ability. The group of boys reached higher levels of rhythmic ability. Integrated students with behavior disorders: Strengths and difficulties questionnaire provided information about students in five dimensions. Highest score was recorded for hyperactivity dimension, which is deviant from normal scores. Students did not achieve normal scores in conduct problems dimension. Normal scores were observed in dimensions: peer problems and prosocial behavior. Conclusions: We may conclude that movements games had a positive effect on the behavior exhibited by prepubertal children educated under the conditions of integration.
Analysis of Physicochemical Characteristics Diversity of 46 Accessions of Indonesian Local Rice Germplasms

Physicochemical characterization of rice germplasms is an important step of the rice breeding program. The physicochemical characteristics are important for consumers’ acceptance. The objective of this study was to analyze physicochemical characteristics information to obtain suitable accessions for breeding programs and to cluster accessions according to their main characteristics. A total of 46 accessions of ICRR & ICABIOGRD collection were evaluated for 24 physicochemical traits. Principal component Analysis (PCA) was carried out to analyze the variation and the contribution of each trait to the total variance. This study showed that physicochemical variation might be divided into 5 principal component: Principal component 1 (PC1) was dominated by grain roundness, PC2 by low amylose content, PC3 by high milling yield, PC4 by long and slender grain, and PC5 by premium quality. Clustering analysis yielded 4 clusters. The 1st cluster was dominated by round grain, 2nd cluster by low milling yield, 3rd by high broken grain, and the last cluster by high milling yield and premium quality. This work showed that there were 7 potential accessions to be included in the rice breeding program of high milling yield and premium quality rice, i.e. accession no. 10479 (Umbul-umbul), 10486 (Babad Cianjur), 10491 (Marus), 10499 (619), 10515 (Siregi), 10551 (Logawa), and 10562 (Umbul-umbul). Those varieties can be used by rice breeders to develop new varieties to answer the global challenge of food security.
Minimum Current Ripple Point Tracking Control for Interleaved Dual Switched-Inductor DC–DC Converters

This article presents a novel output current/voltage control for interleaved dc–dc converters with dual switched input inductors, i.e., interleaved input inductors controlled by independent switches. The proposed approach is able to guarantee a minimum input current ripple point tracking despite of variations on the operating point. The controller encompasses three control stages: current stabilization, output-voltage regulation, and minimum input current ripple control. In contrast with the two first loops, the latter is a novel stage introduced in this article to allow operation with minimum input current ripple in the whole operating region. That is, even though the converter has been designed for operation with minimum ripple in a given operating point, the scheme is able to dynamically deviate from this point to a new one where the ripple is minimized and the output voltage remains constant. The proposed scheme is experimentally validated using a laboratory prototype of a high-gain interleaved multilevel boost converter.
The effect of innovation and strategic planning on enhancing organizational performance of Dubai Police

The purpose of this study is to examine empirically the joint effect of innovation and strategic planning on organizational performance of Dubai Police. ,To examine the hypothesized model of the study, a survey questionnaire was used. The data were collected from the general department of total quality of the Dubai Police. The total number of questionnaires distributed was 150, out of which only 95 usable questionnaires were returned and ready for analysis. The regression approach through SPSS was used to analyze the data and test the hypotheses. ,The statistical results confirm the effect of strategic planning and innovation on the organizational performance of Dubai Police. ,Further details and valuable implications are discussed throughout the study. The results have many practical implications, in that it can help managers to make proper decisions when deciding to implement innovation and strategic planning in their organizations. ,This study is a rare and unique empirical study that examines the effect of innovation and strategic planning on the organizational performance of Dubai Police.
A critical review of the assessment of medical gloves

Medical protective gloves must be assessed to adequate standards before becoming available for commercial use. Strength, integrity and contamination are assessed at the manufacturing stage. However, concerns are raised over the standardisation of the testing; should more be done to assess how gloves affect the performance? Over the years, studies have demonstrated how the design of gloves has reduced tactile sensitivity in medical staff, ultimately leading to poor patient care through missed information. Studies have also demonstrated that a loss of grip control and dexterity through glove use are detrimental to medical tasks. However, it remains relatively unexplored as to how wearing medical gloves affects the users and the patients. Gaps in research have been identified around the frictional and grip properties of gloves. Linking the key performance parameters to the manufacturing processes, which affect material properties, will provide more insight into the behaviour of medical gloves and how to properly assess materials.
Lean production, work intensification and employee wellbeing: Can line-manager support make a difference?

Using a two-wave survey of 315 workers in a lean manufacturing plant, this study examines how work intensification affects employee wellbeing and how its effects may be ameliorated. It demonstrates that work intensification is transmitted into poorer wellbeing through greater emotional exhaustion. It shows that this mediation process is moderated by line-manager support, which buffers the relationship between emotional exhaustion and wellbeing. The study suggests that the health-impairing risks of high work intensity in lean settings can be reduced through better supervisory support. Ensuring that line managers have the opportunity, skills and motivation to offer good support to workers is a vital aspect of the interventions needed to counteract the health risks posed by lean production.
Metodología de desarrollo de software para plataformas educativas robóticas usando ROS-XP

Este articulo presenta una metodologia basada en el proceso agil de XP para el desarrollo de software orientado a robots en plataformas educativas usando middleware ROS. El resultado final fue un conjunto de evidencias tales como historias de usuarios, diagramas basados en UML y lineas de codigo en el lenguaje Python que demuestran buenas practicas de calidad de codigo en el desarrollo de software con el uso del paradigma orientado a objetos. Se obtiene una metodologia agil modificada con un diseno evolutivo e incremental pero con una documentacion rigurosa util para proyectos educativos y de investigacion. This article presents a methodology based on the agile XP process for the development of robot-oriented software in educational platforms using the ROS middleware. The final result was a set of evidences such as user stories, UML-based diagrams and lines of code in the Python language that demonstrate good code quality practices in software development with the use of the object-oriented paradigm. A modified agile methodology is obtained with an evolutionary and incremental design but with a rigorous documentation useful for educational and research projects.
Evaluating the role of leader member exchange in leadership development program satisfaction.

Today’s agricultural leaders face complex challenges. On a global scale, pressing issues around land use, food production and security, natural resource management, energy consumption, and climate change drive the need for systemic, innovative, collaborative solutions. For over four decades, adult agricultural leadership programs have represented an intentional investment in fostering leadership development and community participation in response to changing needs of rural and agricultural communities. The current study sought to investigate the role of leader member exchange (LMX) between leadership program participants with their program directors and the satisfaction participants had with their program experience. Through regression analysis LMX was found to be a statistically significant predictor of program satisfaction. Therefore, a recommendation is for program directors, and leadership educators more generally, to be cognizant of not only the content of programs, but also of the relationships they are forming with participants throughout a leadership development program.
Calculated Moves : Generating Air Combat Behaviour

By training with virtual opponents known as computer generated forces (CGFs), trainee fighter pilots can build the experience necessary for air combat operations, at a fraction of the cost of training with real aircraft. In practice however, the variety of CGFs is not as wide as it can be. This is largely due to a lack of behaviour models for the CGFs. In this thesis we investigate to what extent behaviour models for the CGFs in air combat training simulations can be automatically generated, by the use of machine learning.The domain of air combat is complex, and machine learning methods that operate within this domain must be suited to the challenges posed by the domain. Our research shows that the dynamic scripting algorithm greatly facilitates the automatic generation of air combat behaviour models, while being sufficiently flexible to be moulded into answers to the challenges. However, ensuring the validity of the newly generated behaviour models remains to be a point of attention for future research.
GeI2 monolayer: a model thermoelectric material from 300 to 600 K

ABSTRACT In this work, the electronic structure, optical properties and thermoelectric properties of the GeI2 monolayer are calculated by the first principles with the Boltzmann transport equation. The monolayer is calculated as an indirect band gap semiconductor with an indirect band gap of a value 2.19 eV. This GeI2 monolayer is good for absorbing low-energy photons, and it is insensitive to high-energy photons. The material is stable at temperatures up to 600 K, so we calculated the thermal conductivity (KL), Seebeck coefficient (S), power factor (PF) and thermoelectric figure of merit (ZT) of the GeI2 monolayer at various carrier concentrations from 300 to 600 K. Due to the lower group velocity, the GeI2 monolayer has a lower thermal conductivity of 0.48 W/m K at 300K. In P-type doping, the power factor can up to 0.11 mW/m K2, and its ZT value is 4.04 at 600 K of the GeI2 monolayer, indicating that the GeI2 monolayer is a potential thermoelectric material.
South China Sea summer monsoon withdrawal and the synoptic‐scale wave train over the western North Pacific

Based on NCEP/NCAR reanalysis data (1951–2016), this study focuses on the in‐phase relationship between the South China Sea summer monsoon (SCSSM) withdrawal date and the strength of the synoptic‐scale wave train. The synoptic‐scale wave train during early autumn, which features northwest–southeast‐oriented cyclonic and anticyclonic anomalies, is the dominant synoptic mode over the tropical western North Pacific (WNP). The synoptic‐scale wave train is observed to be significantly strengthened (depressed) during the late (early) SCSSM withdrawal years. Concurrent with the late SCSSM withdrawal, the monsoon trough remains stronger than that in the early withdrawal years. The anomalous low‐level cyclone over the South China Sea favours the barotropic energy conversion from the mean flow to synoptic‐scale eddies. Moreover, the anomalous easterly wind shear over the SCS and the increased moisture over the tropical WNP provide a favourable environment for the development of the synoptic‐scale wave train. This study interprets the inner dynamics of tropic atmospheric activity based on a wave perspective. These results may suggest that synoptic‐scale wave train‐related tropical cyclone activity and precipitation are enhanced in the late SCSSM withdrawal years.
Treasury Single Account and the Performance of Banking Sector: A Study of Selected Deposit Money Banks in Oyo State, Nigeria

The banking sector in any country plays a fundamental role in increasing the level of economic activity. However, the implementation of treasury single account has been devilled its performance. This study therefore investigates the implication of treasury single account on the performance of Nigerian Deposit Money Banks. Quantitative analysis was used in this research, with data collected by the researchers. Five banks (Zenith Bank, First Bank Plc, UBA, Access Bank and Guaranty Trust Bank) were selected through purposive method. Judgmental sampling technique was also used to select Head of Operation, Accountant and Branch Manager from 10 branches each of the selected bank in Oyo State, Nigeria, totaling 150 respondents as a sample size for the study. Data collection instrument used was a structured questionnaire and data analysis was performed with the aid of Ordinary Least Square method of estimation. Result shows that implementation of Treasury Single Account has significant relationship with closure of branches, withdrawal syndrome from the banking system, liquidity crisis and unemployment crisis in Deposit Money Banks. Subsequently, the study recommends that banks should focus on their core banking operations rather than feeding on government idle funds kept into various accounts by Government Ministries, Departments and Agencies (MDAs). Also, banks should sensitize people on the importance of baking culture instead of them keeping their money under their pillow, inside their farms and underground.
A phase III randomized study comparing perioperative nivolumab vs. observation in patients with localized renal cell carcinoma undergoing nephrectomy (PROSPER RCC).

TPS4596Background: The anti-PD-1 antibody nivolumab (nivo) improves overall survival (OS) in metastatic treatment refractory RCC and is generally tolerable. In 2017, there is no standard adjuvant therapy proven to increase OS over surgery alone in non-metastatic (M0) disease. Mouse solid tumor models have revealed an OS benefit with a short course of neoadjuvant PD-1 blockade compared to adjuvant therapy. Two ongoing phase 2 studies of perioperative nivo in RCC patients (pts) have shown preliminary feasibility and safety with no surgical delays or complications. The PROSPER RCC trial will examine if the addition of perioperative nivo to radical or partial nephrectomy can improve clinical outcomes in pts with locally advanced RCC. With the goal of increasing cure and recurrence-free survival (RFS) rates in M0 RCC, we propose a three-pronged, multidisciplinary approach of presurgical priming with nivo followed by resection and adjuvant PD-1 blockade. Methods: Tumorbiopsy prior to randomization is mandatory .
QuAdTrim: Overcoming computational bottlenecks in sequence quality control

With the recent torrent of high throughput sequencing (HTS) data the necessity for highly efficient algorithms for common tasks is paramount. One task for which the basis for all further analysis of HTS data is initial data quality control, that is, the removal or trimming of poor quality reads from the dataset. Here we present QuAdTrim, a quality control and adapter trimming algorithm for HTS data that is up to 57 times faster and uses less than 0.06% of the memory of other commonly used HTS quality control programs. QuAdTrim will reduce the time and memory required for quality control of HTS data, and in doing, will reduce the computational demands of a fundamental step in HTS data analysis. Additionally, QuAdTrim impliments the removal of homopolymer Gs from the 3’ end of sequence reads, a common error generated on the NovaSeq, NextSeq and iSeq100 platforms. Availability and Implementation The source code is freely available on bitbucket under a BSD licence, see COPYING file for details: https://bitbucket.org/arobinson/quadtrim Contact Andrew Robinson andrewjrobinson at gmail dot com
The role of teacher educators and university supervisors to help student teachers reflect: from monological reflection toward dialogical conversation

ABSTRACT Within the study reported here, our broad aim was to think deeply about how to support student teachers as they assessed their students’ mathematical understanding. Our experiences, as teacher educators, have been that although student teachers may recognize emerging student mathematical understanding, they are frequently unclear about how to use formative assessment for teaching decisions. Yet, increasingly, standards for teachers require them to focus on assessment. We analyzed data from one secondary mathematics student teacher, Kevin, in the form of video and transcripts of a teaching episode and his reflection which focused on his assessment of student learning. Salient issues emerged. Kevin emphasized classroom management and superficially assessed student understanding without evidence. Although time constraints pervade our profession, watching video with and posing questions that help student teachers identify the evidence of their students’ mathematical understanding is critical. We conclude that teacher educators and university supervisors need to take a dialogical conversation approach to reflection because reflection must happen with others, not in isolation. We consider other implications for our own work with student teachers to help them grapple with the complexities of assessing student learning.
Wrinkle detection system based on active appearance model

The facial wrinkle is a important feature of facial expression, automatic wrinkle detection has been an important topic in recent most works. Many wrinkle detection works focusing on detecting forehead wrinkle line, which are linear shapes, whereas cheek wrinkle lines has not been deeply studied, because of their shape complexity. In this paper presented an effective algorithm for automatic detection of wrinkle line, which largely consist of active appearance model based on wrinkle structure location. The proposed wrinkle detector is applied for real time application to identify early Stroke symptoms. Using unique initial shape instead of active appearance model mean shape, our experimental result got more accurate results than another shape models methods. Experimental results illustrated the competitiveness of the proposed method in detecting wrinkle lines with 92% accuracy. Keyword : wrinkle detection, active appearance model, Hessian matrix, Stroke detection.
Food-grade nanoemulsions and their fabrication methods to increase shelf life

In recent years, there has been an increasing interest in the utilization of emulsion and food-grade nanoemulsions and their fabrication methods, and methods have evolved in the food industry and other fields. Emulsions, according to droplet diameter and stability, are divided into three important groups of conventional emulsions, nanoemulsions, and microemulsions; therefore, nanoemulsions are a class of emulsions. The small and fine size of the droplet in nanoemulsions (i.e. droplet diameter <100nm) make them applicable in some fields, due to their enhanced bioavailability, solubility, better stability against gravitational separation, appropriateness for delivery of lipophilic active agent’s components, high surface area per unit volume and antimicrobial property. Also, they need less surfactant in comparison with other constructions. There are many kinds of preparation methods that can be classified into low-intensity and high-intensity approaches. The basis of the high-intensity procedure is mechanical energy that comes from flows like cavitation, but the low-intensity procedure is based on physicochemical processes. The most notable ways in high-energy emulsification are high-pressure valve homogenization, microfluidization, ultrasonication, rotor-stator emulsification, and membrane emulsification. Low-energy emulsification is divided into thermal and isothermal methods for nanoemulsions fabrication. Thermal methods consist of phase inversion temperature (PIT) and isothermal methods consist of spontaneous emulsification (SE) and emulsion phase inversion (EPI). Also, today, there is a lot of evidence to compare the low-intensity approach with high-intensity one and some of them express that in the low-energy method, equipment is not expensive and special and this is a very important advantage in saving energy. Also, some researchers express that in the high-energy method, we need much less concentration of surfactant for the formation of small size droplet.
Distributed Event-Triggered H∞ Consensus Based Current Sharing Control of DC Microgrids Considering Uncertainties

The uncertainties caused by sources [such as wind power and photovoltaic (PV)], load switchings, and the equivalent negative impedance of constant power loads (CPLs) commonly exist in microgrids and often undermine the system stability and damping. In this article, a distributed secondary H∞ consensus approach with an eventtriggered communication scheme is proposed for dc microgrids to achieve accurate current sharing and satisfactory performance in the presence of CPLs and uncertainties. Different from many existing works, the proposed eventtriggered communication scheme only requires the information at every fixed sampled interval without the Zenobehavior and continuous-time information. Then, global large-signal stability of the dc microgrid with CPLs and uncertainties under the proposed distributed control is analyzed, where a primary plug-and-play (PnP) voltage controller is considered for each distributed generator (DG). Furthermore, effects of key controller parameters and CPLs on the dynamic performance is analyzed, and a PnP design method is presented for the primary–secondary controllers. With the proposed method, full PnP operation of the dc microgrid can be realized and communication burden can be considerably reduced. Finally, simulation results are presented to validate the proposed method.