Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between agronomic and morphological traits in barley varieties under drought stress condition.

In order to evaluate some morphological characteristics of different varieties of barley, ten varieties of barley in a randomized complete block design with three replications were planted in the 2014-2015 crop year under drought stress condition. Grain yield per square meter, harvest index, plant height, spike length, awn length, 1000 grain weight, stem diameter, seed length, seed diameter, peduncle length, days to heading and days to maturity were measured. The results showed that varieties for grain yield, harvest index, plant height, spike length, spike weight, awn length, stem diameter, length of seed, seed diameter and peduncle length are different significantly. Harvest index and 1000 grain weight were significantly positive correlated with grain yield, thus these traits can be used to improve grain yield. Multiple linear regression showed that days to heading and harvest index explain the greatest variance of grain yield. Path analysis showed that the harvest index has the positive direct effect and days to heading has negative direct effect on grain yield. The results showed that characteristics such as harvest index, plant height, peduncle length, awn length and 1000 grain weight can be used as indicators for highperformance cultivars in stress condition.
Prevalence of approximate t relaxation for the dielectric process in viscous organic liquids

This paper presents dielectric relaxation data for organic glass-forming liquids compiled from different groups and supplemented by new measurements. The main quantity of interest is the “minimum slope” of the dielectric loss plotted as a function of frequency in a log-log plot, i.e., the numerically largest slope above the loss peak frequency. The data consisting of 347 spectra for 53 liquids show prevalence of minimum slopes close to 1/2, corresponding to approximate t dependence of the dielectric relaxation function at short times. The paper studies possible correlations between minimum slopes and 1 temperature quantified via the loss peak frequency ; 2 how well an inverse power-law fits data above the loss peak; 3 degree of time-temperature superposition; 4 loss peak half width; 5 deviation from non-Arrhenius behavior; 6 loss strength. For the first three points we find correlations that show a special status of liquids with minimum slopes close to 1/2. For the last three points only fairly insignificant correlations are found, with the exception of large-loss liquids that have minimum slopes that are numerically significantly larger than 1/2. We conclude that—excluding large-loss liquids—approximate t relaxation appears to be a generic property of the relaxation of organic glass formers. © 2009 American Institute of Physics. DOI: 10.1063/1.3098911
Teacher Education and Teacher Efficacy do they Match in Botswana Colleges of Education ?

The training of teachers has been a priority to the government of Botswana since the country’s independence in 1966. Education Policies have been revised to cater for quality education for citizens. This paper argues that although it is relevant to upgrade colleges, and offer quality education and assurance processes to monitor training institutions; teacher efficacy remains fundamental among pre-service teachers while they are still at training. The researchers present their arguments in relation to the mentioned above title. Research findings carried in the five colleges of Botswana that train primary and secondary school teachers showed a low teacher efficacy in relation to the three subscales of Teacher’s Sense of Efficacy Scales, Efficacy in Student Engagement, Instructional Strategies and Classroom management. The paper further states that, ecological research as it focuses on classroom management and student engagement is essential, as it highlights how teachers should manage classroom behaviors and provides some strategies to be implemented to engage students in learning.
Proposal for a Research and Teaching Project : Roborace

In this document we describe a teaching and research project which could be part of an intended long-term cooperation between the University of Odessa and the HTW Berlin. In the project we want to build autonomous robotic (model) cars (e.g. scale 1:10). A main challenge is to develop an appropriate control system which maps the sensor input to steering commands for acting successfully in the environment. Engineering hand-crafted rules for generating sensible commands is hard and can fail in situations not considered appropriate by the rules. Therefore machine learning is nowadays the prefered technique for such tasks. Because of recent successes of deep learning in computer vision and other fields deep neural networks seem to be a promising approach for steering the robotic cars. To learn the parameters of deep neural networks large amounts of training data has to be acquired and stored. One part of the project attends this issue: Engineering of appropriate hardware for collecting such large amounts of data for the robotic cars. The university of Odessa has already etablished a Roborace competition which takes place regulary at different places (in eastern europe). At the beginning we want to focus at this competition1. 1 Objectives of the project The main objective of the project is to provide an interesting playground for the students to learn new challenging skills and competencies. For successfully developing a robotic car it’s neccessary to have a strong theoretical background. So the project will be a strong motivation for learning important fundamentals and the underlying theories. Such skills are going to be important in the future job market. Examples of application fields where such skills are inevitable are the internet of things, the industrial internet (Industrie 4.0), robotics and autonomous cars. Results that will be gained in the project should be published as scientific papers or in conferences proceedings. Additionally assembled know-how during the project can be a driver for procurement of third-party grants for further research and development projects. http://raipap.bstu. by/uploads/Roborace/ROBORACE_RULES_ENG. pdf
An Adaptive Navigation Support with Reorganized Learning Resources for Web-based Learning

On the Web, there are diverse learning resources with the same learning topic, each of which is designed by different authors. Properly using these web-based resources, learners can study the topic from diverse points of view. This is one of the prominent merits of web-based learning. However, learners would have difficulty in finding a learning resource suitable to their learning contexts because there are currently an enormous number of learning resources on the Web and because most web-based learning resources do not have a clear description of their characteristics such as what kind of learners should use, what kind of learning goal can be achieved. Our approach to this issue is to reorganize web-based learning resources with indexes called resource indexes representing their characteristics, and to provide learners with an adaptive navigation support, which recommends them some learning resources to be learned next in accordance with their needs and knowledge states. We also report a preliminary experiment to evaluate the validity of the adaptive navigation support with a demonstration system. From the results of this experiment, we have made sure that it is valid.
On Defining Artificial Intelligence

Abstract This article systematically analyzes the problem of defining “artificial intelligence. ” It starts by pointing out that a definition influences the path of the research, then establishes four criteria of a good working definition of a notion: being similar to its common usage, drawing a sharp boundary, leading to fruitful research, and as simple as possible. According to these criteria, the representative definitions in the field are analyzed. A new definition is proposed, according to it intelligence means “adaptation with insufficient knowledge and resources. ” The implications of this definition are discussed, and it is compared with the other definitions. It is claimed that this definition sheds light on the solution of many existing problems and sets a sound foundation for the field.
Total quality management practices in Indonesian local SME: Understanding the employees Role

Abstract Understanding the schemes of Small and Medium Enterprises (SME’s) managerial capability is becoming important aspects today. Implementing proper strategies and internal policy may create a significant change in SME’s performance. Total Quality Management (TQM) has been being a one of specific measurement on organizational performance. This research was proposed to understand the factor that can affect the TQM’s performance in SME’s by identifying the two factors that can change it. Based on the recent studies, the developed model was employed PLSSEM to analyze the data by total respondent 95 respondent consist of owner and manager. The sample was taken in the area of Sasirangan SME’s in Banjarmasin, Kalimantan Selatan province, Indonesia. Sasirangan is a local fabric developed by its ancestor. The population of Sasirangan SME’s was huge in amount. The results of these studies indicate that both motivation and employee performance can increase the TQM in the SME’s which one of them has a more significant effect. The complete description of finding in this research will be discussed in this research.
Predicting corpus example quality via supervised machine learning

In this paper we present a supervised-learning approach to extracting good dictionary examples from corpora.We train our predictor of quality on a dataset of corpus examples annotated with a four-level ordinal variable, ranging from a very bad to a very good example. Each of the examples is formally described through 23 variables; the dependence of the quality of which is modelled using a regression model. The evaluation of the ranked results for each of the collocations in the annotated dataset shows that we obtain precision on 10 top-ranked examples of ~80% and a precision of ~90% on the three top-ranked examples. Our approach is highly language independent as well, suffering almost no loss on the 10 top-ranked examples and a loss of ~4% on the three highest-ranked examples once the language-dependent and knowledge-source-dependent features are removed.
IMPROVING FACILITIES MANAGEMENT : A PUBLIC SECTOR CASE STUDY

Building Facilities Management (FM) within Queensland Government Departments is the responsibility of individual Departments. A broad range of FM services is outsourced to the Department of Public Works and private sector providers. In some instances, there is in-house provision of selected FM services. The Department of Public Works, in collaboration with Treasury Department, has embarked on an ambitious program to improve FM across Queensland Government Departments. This program is part of a wider program of reform across the public sector aimed at sharing the provision of non-core services like finance and HRM to remove duplication and drive efficiencies. Departments are placed in “clusters” which are serviced by a “Shared Services Provider” in each cluster for non-core services. The paper describes the development of the FM Improvement Initiative, its fundamental thrust and objectives and the strategy for implementation. The Department of Public Works is sensitive to the very broad scope of FM and the need to be focussed on high benefit but realistic and achievable targets. Gaining the support and commitment of the various Departments is critical for success. The program has focussed on six (6) Priority Project Areas described in the paper and a selection of projects, some of which are pilots for wider adoption if successful. The paper also describes some of the governance arrangements established to ensure that such a large-scale improvement program is successfully managed.
Volume 12 , Number 1 Pedagogy-Taking Stock and Looking Forward Part 2 January 2019

Cognitive and emotional dimensions are often linked to each other in learning experiences. Moreover, emotions and engagement can lead to better outcomes at the cognitive level. Previous research has indicated that virtual reality (VR) provides a feeling of presence and immersion, which can trigger emotionally engaging learning situations. In this study, we explore the opportunities and challenges related to the use of VR in an educational context. The focus of this article is threefold: First, we explore interdisciplinary research literature related to the use of VR for educational purposes. Second, we introduce our VR pilot study in teacher education, applying three different kinds of VR applications. During the pilot study, we utilized physiological measurements, the self-assessed experience of emotional involvement (PANAS; Watson, Clark, & Tellegen, 1988) and students’ qualitative reporting on VR experiences. Third, we discuss the potential of brain imaging methods such as EEG measures for capturing learning, performance, and emotions in VR and offer pedagogical guidelines for the future design of VR environments. http://jvwresearch.org The Role of Emotions and Physiological Reactivity 2 Pedagogy (Part 2) / January 2019 Journal of Virtual Worlds Research Vol. 12, No. 1
Power System Stability Improvement by the Coordination Between TCPS and PSS Using A PSO-algorithm

This paper is studying the effect of optimal coordination between Thyristor Controlled and phase shifter (TCPS) and power system Stabilizer (PSS) in improving stability of power system. The design problem of PSS and TCPS controllers individually and coordination between PSS and TCPS is developed as a problematic optimum utilization with objective function based on eigenvalue of system matrix . The PSO algorithm used to find the optimal parameters of controllers. The analysis of eigenvalue and The nonlinear time-domain simulation have been implemented to study the effectiveness of the coordinated controller, its simulated and tested under three operating conditions including normal light and heavy loading with temporary fault on infinite bus. Results of The eigenvalue analysis and simulation appear that the coordinated design of controllers is able to enhancing the damping of the rotor modes and provide better damping and improve power system stability.
HIGH RESOLUTION ANALYSIS OF PALEOSOLS REVEALS DETAILS OF PEDOGENESIS - A MULTIPROXY APPROACH

Introduction Terrestrial sediments with intercalated paleosols are important archives for the study of paleovegetation and paleoenvironmental conditions like paleo-precipitation and -temperatures. To study the signal recorded in various organic and inorganic compounds from these sedimentpaleosol sequences, it is common practice to collect one or two samples per sediment or soil unit, which are either taken from the middle between upper and lower limit, or which are collected over the whole depth of the unit and then pooled. This contradicts the fact that soils often develop from top downwards within sedimentary units, and therefore parameters like e.g. rooting intensity, organic matter (OM) concentration and element distribution change throughout a soil profile (e.g. Jobbágy and Jackson, 2000; Gocke et al., 2014). We hypothesized that such gradients can be preserved in Pleistocene paleosols developed from loess deposits and can give valuable insights into conditions during pedogenesis. We sampled paleosols with ages around 30-35 ky (GIS 5-8) together with bracketing loess deposits along a transect from Central (Nussloch, Germany) to Southeast Europe (Katymár, Hungary and Irig, Serbia) in high resolution of 5 or 10 cm depth intervals. Samples were analysed for grain size distribution, bulk elemental composition, carbonatic (Ccarb) and organic carbon (Corg) as well as total nitrogen (Nt) concentrations, δC, amounts of total extractable lipids (TLE) and distribution of lipid fractions like n-alkanes, fatty acids and alcohols. Additionally, glycerol dialkyl glycerol tetraethers (GDGTs) were investigated and used for paleotemperature reconstruction according to De Jonge et al. (2014).
Human coronavirus NL 63 in children with acute upper respiratory tract infection by reverse transcription polymerase chain reaction ( RT-PCR )

Background and aim: Human coronavirus NL63 (HCoV-NL63) is a recently discovered human corona virus that causes respiratory illness in children. In this study, we looked for HCoV-NL63 in children with acute upper respiratory tract infection by reverse transcription polymerase chain reaction (RT-PCR) and determined coinfections between HCoV-NL63 and other respiratory viruses. Subjects and methods: Nasal secretions collected from 160 children with acute upper respiratory tract infection and 80 controls were subjected to reverse transcription-PCR (RT-PCR) for detection of HCoV-NL63 virus and direct immunofluorescence (DIF) for detection of seven respiratory viruses (RSV, influenza A and B viruses, parainfluenza virus types 1 to 3, and adenovirus). Results: We detected HCoV-NL63 RT-PCR in 24 out of 160 (15%) nasal secretion specimens collected from children with acute upper respiratory tract infection. All children with HCoV-NL63 infection were aged from 1232 months. Direct immunofluorescence assay detected RSV, influenza A, influenza B, and adenovirus in 42(26.3%), 23 (14.4%), 15 (9.4%) and 4(2.5%) respectively in the nasal secretion specimens of the patients. RSV was detected positive in 10 (43.4%) children with HCoV-NL63 infection, influenza A was detected positive in 4 (17.4%) patients with HCoV-NL63 infection, 4 (17.4%) patients with RSV infection and 3 (13%) patients with influenza B infection. While RSV was detected positive in 2 (8.7%) adenovirus infection. Conclusion: HCoV-NL63 is frequently detected human pathogen, often associated with other respiratory viruses and acute respiratory tract infections in children. Rapid DIF screening reagent for detection of multiple respiratory viruses within 1 to 2 hours is of great benefit in terms of patient management and infection control. [Samia F ElSahn, Mona Z Zaghloul, Zeinab A Galal2, May El-Attar, and Ahmed Nafea. Human coronavirus NL63 in children with acute upper respiratory tract infection by reverse transcription polymerase chain reaction (RT-PCR). Life Sci J 2014;11(7):215-219]. (ISSN:1097-8135). http://www.lifesciencesite. com. 26
On Direct Self Control System Of Asynchronous Motor Strong Anti-disturbance Ability

Direct self control system for asynchronous motor, the control system in the condition of large disturbance, the control effect is not good problem ,put forward a new type of Automatic speed regulator(ASR). The new type of ASR use subsection control . According to the deviation value of ASR input to subsection control use subsection control. When the error is big, Use improved proportional integral control. While the error is small, the fuzzy control is adopted. And the improved proportional integral control will be based on the rules, to connect or disconnect the integral control function of the improved proportional integral controller. By comparing the simulation results with Matlab/sumlink, Prove that the new scheme of Anti-disturbance performance is better than the classical.
Mapping the kinetochore MAP functions required for stabilizing microtubule attachments to chromosomes during metaphase

In mitosis, faithful chromosome segregation is orchestrated by the dynamic interactions between the spindle microtubules (MTs) emanating from the opposite poles and the kinetochores of the chromosomes. However, the precise mechanism that coordinates the coupling of the kinetochore components to dynamic MTs has been a long‐standing question. Microtubule‐associated proteins (MAPs) regulate MT nucleation and dynamics, MT‐mediated transport and MT cross‐linking in cells. During mitosis, MAPs play an essential role not only in determining spindle length, position, and orientation but also in facilitating robust kinetochore‐microtubule (kMT) attachments by linking the kinetochores to spindle MTs efficiently. The stability of MTs imparted by the MAPs is critical to ensure accurate chromosome segregation. This review primarily focuses on the specific function of nonmotor kinetochore MAPs, their recruitment to kinetochores and their MT‐binding properties. We also attempt to synthesize and strengthen our understanding of how these MAPs work in coordination with the kinetochore‐bound Ndc80 complex (the key component at the MT‐binding interface in metaphase and anaphase) to establish stable kMT attachments and control accurate chromosome segregation during mitosis.
Obesity Is the Most Common Risk Factor for Chronic Liver Disease: Results From a Risk Stratification Pathway Using Transient Elastography.

INTRODUCTION Obesity has been associated with liver fibrosis, yet guidelines do not emphasize it as an independent risk factor in which to have a high index of suspicion of advanced disease. We aimed to elucidate the effect of a raised body mass index on the risk of liver disease using data from a community risk stratification pathway. METHODS We prospectively recruited patients from a primary care practice with hazardous alcohol use and/or type 2 diabetes and/or obesity. Subjects were invited for a transient elastography reading. A threshold of ≥8.0 kPa defined an elevated reading consistent with clinically significant liver disease. RESULTS Five hundred seventy-six patients participated in the pathway; of which, 533 patients had a reliable reading and 66 (12.4%) had an elevated reading. Thirty-one percent of patients with an elevated reading had obesity as their only risk factor. The proportion of patients with an elevated reading was similar among those with obesity (8.9%) to patients with more recognized solitary risk factors (type 2 diabetes 10.8%; hazardous alcohol use 4.8%). Obesity in combination with other risk factors further increased the proportion of patients with an elevated reading. In multivariate logistic regression, increasing body mass index and type 2 diabetes were significantly associated with an elevated reading. DISCUSSION Obesity as a single or additive risk factor for chronic liver disease is significant. Future case-finding strategies using a risk factor approach should incorporate obesity within proposed algorithms.
A Model-Based Approach to Finding Substitute Tools in 3 D Vision Data

A robot can feasibly be given knowledge of a set of tools for manipulation activities (e.g. hammer, knife, spatula). If the robot then operates outside a closed environment it is likely to face situations where the tool it knows is not available, but alternative unknown tools are present. We tackle the problem of finding the best substitute tool based solely on 3D vision data. Our approach handcodes simple models of known tools in terms of superquadrics and relationships among them. Our system attempts to fit these models to pointclouds of unknown tools, producing a numeric value for how good a fit is. This value can be used to rate candidate substitutes. We explicitly control how closely each part of a tool must match our model, under direction from parameters of a target task. We allow bottom-up information from segmentation to dictate the sizes that should be considered for various parts of the tool. These ideas allow for a flexible matching so that tools may be superficially quite different, but similar in the way that matters. We evaluate our system’s ratings relative to other approaches and relative to human performance in the same task. This is an approach to knowledge transfer, via a suitable representation and reasoning engine, and we discuss how this could be extended to transfer in planning.