Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the relationship between EEG signal and aging through Linear Discriminant Analysis (LDA)

This paper aims to establish the correlation between statistical parameters and Electroencephalographic (EEG) signals as a function of age, in subjects without neurological disorders. EEG signals were recorded during the task of following an Archimedes spiral. There were 59 healthy subjects who voluntarily participated in this study which were divided into 7 groups, aging between 20 to 86 years from both gender, in order to identify differences and allow discrimination between the features of each group. Initially, comparisons were made among several features (F20, F50, F80, F95, Mean Frequency, Root Mean Square value, Zero Crossings, Square of the Power Spectrum, Kurtosis, Skewness, Variance, Standard Deviation and Approximate Entropy) seeking separation between young and elderly groups. Furthermore, it was sought to correlate the statistical parameters and the entire age range. For this purpose it was used Linear Discriminant Analysis (LDA). The data were processed with MATLAB® software. Through the LDA, significant differences were observed over the distinct age ranges. The tool has satisfactorily performed the separation of discriminant features by classifying groups of subjects in function of their age range.
A Gird Architecture for E-Service : its Components and Composition

This paper presents a grid architecture for E-Service. It comprises nine semantic components: port, probe, adapter, action, activity, workflow, E-Service, constraint and trigger, which form four different integration levels while each level could handle the semantics of presentation, function and resource separately. This grid architecture may facilitate us implementing E-Commerce automation and semantic based composition. We mainly focus on the possible structure of nine semantic components and the composition based on the grid architecture in this paper. Key-Words: E-Commerce automation, Architecture, Semantics, Workflow, Integration, Composition.
The Preliminary Investigation of Needle Plate Electrode Discharge Characteristics in the Oil under Impulse Voltage

Partial discharge detection under impulse voltage is an effective method for monitoring the insulating properties and the aging of high-voltage electric equipment. It is of great practical significance for discovering potential safety hazard in time and ensuring the safe operation of equipment. In this paper, we set up an impulse voltage source with solid-state switch, the discharge signals of needle plate electrode in the oil are detected by using the photomultiplier. The results show that the measurement can successfully detect the discharge signal both in the wave head and the wave tail, the signals in the wave head usually have a long duration, intensely and constantly discharge; the signals in the wave tail usually have a short duration, weakly and discontinuity discharge. We make the analysis with a possible mechanism of physical aiming at this phenomenon. Keywords-impulse voltage; solid-state switch; partial discharge; photomultiplier; streamer
Effect of Professional Satisfaction on Learning Engagement in Undergraduates Majoring in Preschool Education: Mediating Role of Professional Commitment

Objective: To explore the influence mechanism of the professional satisfaction of preschool education majors undergraduate on Study Engagement. Methods: 750 subjects were investigated by using professional satisfaction questionnaire, professional commitment questionnaire and learning engagement questionnaire. Results: 1) College students majoring in preschool education professional satisfaction and professional commitment are in the middle level, but a higher degree of learning engagement; 2) For undergraduates of preschool education professional satisfaction, learning engagement and the level of professional commitment have significant effects on the academic achievement; 3) There is a significant positive correlation among professional satisfaction, professional commitment and learning engagement. Conclusion: The professional commitment mediated the effect of the professional satisfaction on learning engagement of preschool education college students.
A ¢ rst global analysis of plasmid encodedproteins in theACLAME database

Many plasmids are mobile genetic elements (MGEs) and, as other members of that group of DNA entities, their genomes display a mosaic and combinatorial structure, making their classification extremely difficult. As other MGEs, plasmids play a major role in horizontal transfer of genetic materials and genome reorganization. Yet, the full impact of such phenomenon on major properties of the host cell, such as pathogenicity, the ability to use new carbon sources or resistance to antibiotics, remains to be fully assessed. More and more complete plasmid genome sequences are available. However, in the absence of standards for storing plasmid sequence data and annotating genes and gene products on sequenced plasmid genomes, the resulting information remains rather limited. Using 503 sequenced plasmids organized in the ACLAME database, we discuss how, by structuring information on the genomes, their host and the proteins they code for, one can gain access to either global or more detailed analysis of the plasmid sequence information, as illustrated by a network representation of the relationships between plasmids.
Socio-psychological perspectives on the potential for serious games to promote transcendental values in IWRM decision-making

Modern day challenges of water resource management involve difficult decision-making in the face of increasing complexity and uncertainty. However, even if all decision-makers possessed perfect knowledge, water management decisions ultimately involve competing values, which will only get more prominent with increasing scarcity and competition over resources. Therefore, an important normative goal for water management is long-term cooperation between stakeholders. According to the principles of integrated water resource management (IWRM), this necessitates that managerial decisions support social equity and intergenerational equity (social equity that spans generations). The purpose of this discussion is to formulate preliminary recommendations for the design of serious games (SGs), a potential learning tool that may give rise to shared values and engage stakeholders with conflicting interests to cooperate towards a common goal. Specifically, this discussion explores whether SGs could promote values that transcend self-interest (transcendental values), based on the contributions of social psychology. The discussion is organized in the following way. First, an introduction is provided as to why understanding values from psychological perspectives is both important for water management and a potential avenue for learning in SGs. Second, a review of the description of values and mechanisms of value change from the field of social psychology is presented. This review highlights key psychological constraints to learning or applying values. Based on this review, recommendations are made for SGs designers to considerwhen developing games forwatermanagement, in order to promote transcendental values. Overall, the main conclusions from exploring the potential of value change for IWRMthrough SGs design are as follows: 1-SGs design needs to consider how all values change systematically; 2-SGs design should incorporate the many value conflicts that are faced in real life water management, 3-SGs could potentially promote learning by having players reflect on the reasoning behind value priorities across water management situations, and 4-value change ought to be tested in an iterative SGs design process using the Schwartz's Value Survey (SVS) (or something akin to it).
Identification of Glioma Pseudoprogression Based on Gabor Dictionary and Sparse Representation Model

This paper aims to find an effective clinical means to separate glioma pseudoprogression from true recurrence. To this end, the sparse representation method was introduced into the field of medical image processing. The key solution is to combine the training samples into a redundant dictionary. With the sparse decomposition algorithm, the test samples were represented by the combination of the sparse linear coefficients of training samples. Then, a suitable classifier was generated for the classification of sparse atoms. Finally, the author carried out a case study and proved that our method can effectively diagnose pseudoprogression in glioma, and enjoys a good prospect of clinical application.
Multi-Scale Multiphysics Simulation of Metal L-PBF AM Process and Subsequent Mechanical Analysis

In this paper, a multi-physics numerical model for multi-track-multi-layer laser powder bed fusion (L-PBF) process is developed and used for analysing the formation and evolution of porosities caused by lack of fusion and improper melting. The simulations are divided into two categories: first and foremost, a multi-physics thermo-fluid model in meso-scale, and second, a mechanical model based on the concept of a unit cell. The thermo-fluid model is used to track and observe the formation of the porosities, and considers phenomena such as multi-phase flow, melting/solidification, radiation heat transfer, capillary and thermo-capillary (Marangoni effect) forces, recoil pressure, geometry dependant absorptivity, and finally evaporation and evaporative cooling. The results for the investigated process parameters indicate that the porosities are mainly formed due to improper fusion of the particles. The probability of presence of pores is also observed to be higher in the first layers. Moreover, the lack of fusion zones are seen to become smaller in the subsequent layers, largely due to better fluid flow and higher temperatures in those layers. Based on the porosity levels determined from the thermo-fluid model, a unit cell mechanical model with an equivalent amount of porosity has been made and subsequently subjected to loading for analysing the part’s mechanical behaviour. The unit cell results show that an increase in the porosity can highly affect and deteriorate the part’s elastic modulus and its yield strength, as well. The combination of the thermo-fluid and the mechanical unit cell model establishes a direct link between process parameters and mechanical properties for L-PBF.
P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning

Determining earthquake hypocenters and focal mechanisms requires precisely measured P wave arrival times and first‐motion polarities. Automated algorithms for estimating these quantities have been less accurate than estimates by human experts, which are problematic for processing large data volumes. Here we train convolutional neural networks to measure both quantities, which learn directly from seismograms without the need for feature extraction. The networks are trained on 18.2 million manually picked seismograms for the Southern California region. Through cross validation on 1.2 million independent seismograms, the differences between the automated and manual picks have a standard deviation of 0.023 s. The polarities determined by the classifier have a precision of 95% when compared with analyst‐determined polarities. We show that the classifier picks more polarities overall than the analysts, without sacrificing quality, resulting in almost double the number of focal mechanisms. The remarkable precision of the trained networks indicates that they can perform as well, or better, than expert seismologists.
1 The mediating role of perceived stress in the 2 relationship of self-efficacy and work engagement in 3 nurses 4

Positive Occupational Health Psychology (POHP) examines the mechanisms that 20 promote workers’ health and wellbeing, in addition to risk factors arising from work activity. The 21 aim of this study was to analyze the mediating role of perceived stress in the effect that self‐efficacy 22 has on engagement in nurses. The sample comprised 1777 currently working nurses. We 23 administered the Utrecht Work Engagement Scale (UWES), the Perceived Stress Questionnaire and 24 the General Self‐Efficacy Scale. Following bivariate correlational analysis, multiple linear 25 regression analysis, and simple and multiple mediation analysis the results showed Self‐efficacy to 26 be a powerful personal resource that positively predicts employees’ engagement, although the effect 27 diminishes when there are mediating variables of stress. We found differences in the way the 28 different aspects of stress mediated the relationship between Self‐efficacy and the engagement 29 dimensions. “Energy–joy” was the strongest mediating variable for all of the engagement 30 dimensions, and this, together with “harassment–social acceptance” dampened the effect of 31 Self‐efficacy on vigor and dedication, whereas “Overload” was only a mediator for dedication. 32 Because nurses work in a stressful environment, risk factor arising from work activity, hospital 33 management should design interventions to enhance their workers’ personal resources and 34 improve personal and organizational wellbeing. 35
Compact CPW-Fed Triple Band-Notched UWB Antenna with Rectangular Slots

A simple coplanar waveguide (CPW)-fed printed planar triband notched monopole antenna for WLAN/WiMAX/downlink of satellite communication systems is presented. The antenna is printed on rectangular substrate and three slots are etched on the radiator to achieve three radiating elements for notching operation. The radiator is very compact in size and simple in structure. The proposed antenna not only achieves three bands to notch 3.3–3.7 GHz for WiMAX, 5.15– 5.825 GHz for WLAN, and 7.25–7.75 GHz for downlink of Xband satellite communication systems but also exhibits good radiation characteristics. The effect of each radiating element is analyzed in detail. The current distribution, VSWR, radiation pattern, peak gain and return loss characteristics are analyzed. Keywords— Coplanar waveguide (CPW)-fed, rectangular slot, monopole antenna, notch, WiMAX, WLAN.
An Exploration of Pre-service Students ’ Development in Science Teacher Efficacy and Self Image

This research tested the science-teaching efficacy of 48 pre-service teachers at the beginning and conclusion of a science methods course. The researchers examined the relationship between efficacy and images of science teachers. Students indicated a higher level of personal efficacy at the end of the semester than at the beginning; however, their outcome expectancies did not change. In the images of science teachers, pre-test data indicated that, 33% of the students included no stereotypical traits; whereas, 50% indicated no stereotypical traits at the post test. The more efficacious students rated themselves, the less stereotypical they were in the portrayal of science teachers. Over the semester the relationship between efficacy and the images did not alter for personal efficacy, but the relationship between outcome expectancy and stereotypical images was smaller by the end of the semester suggesting that the course influenced students’ personal beliefs about efficacy and images of science teachers.
Coupled Biological and Abiotic Mechanisms Driving Carbonyl Sulfide Production in Soils

Understanding soil production of the trace gas carbonyl sulfide (OCS) is key to its use as a tracer of ecosystem function. Underlying its application is the observation that vascular plants consume atmospheric OCS via their stomatal pores in proportion with CO2 photosynthesis and that soil fluxes of OCS are negligible in comparison. Recent soil-centered studies demonstrate that soils can produce OCS and contribute as much as a quarter of the atmospheric terrestrial flux. Despite the potential widespread importance of soil OCS emissions, insufficient data exist to predict variations in OCS production across ecosystems, and the chemical and biological drivers of OCS production are virtually unknown. In this study, we address this knowledge gap by investigating variables controlling OCS soil production including soil physical and chemical properties, microbial community composition, and sulfur speciation in two independent surveys. We found that soil OCS production was nearly ubiquitous across the 58 sites, increased exponentially with temperature, and was insensitive to visible light conditioning. Soil pH, N, and C/N were predictors of OCS soil production rates in both soil surveys. Patterns in soil S speciation and predicted microbial S-cycling pathways both pointed to S-containing amino acids such as cysteine and methionine and their derivatives as potential precursors for OCS production. Elevated sulfate levels were associated with OCS production in some soils. This study provides new mechanistic insight into OCS production in soils and presents strategies to represent soil OCS fluxes that facilitate the use of OCS as a tracer for leaf-level processes related to carbon and water cycling.
Analysis In Air, Toxicology And QSAR Modelling With Nitrophenols

Liquid chromatography coupled to a photodiode array detector and atmosphericpressure chemical ionization ion sources were used for the determination of a variety of nitrophenols in air samples after solid phase extraction using silica gel and XAD-7 resin-absorbents (rainwater), In order to predict the toxicity of these relevtmt compounds on animals we determined in vitro both the uncoupling activity of the ox\dative phosphorylation and the inhibitory effect of oxygen consumption in mammalian mitochondria for 18 available phenol derivatives. The experimental data were modelled in a QSAR approach using theoretical molecular descriptors,
5 Scalable MCMC for Large Data Problems using Data Subsampling and the Difference Estimator Matias

We propose a generic Markov Chain Monte Carlo (MCMC) algorithm to speed up computations for data sets with many observations. A key feature of our approach is the use of the highly e cient di erence estimator from the survey sampling literature to estimate the log-likelihood accurately using only a small fraction of the data. Our algorithm improves on the O(n) complexity of regular MCMC by operating over local data clusters instead of the full sample when computing the likelihood. The likelihood estimate is used in a Pseudo-marginal framework to sample from a perturbed posterior which is within O(m−1/2) of the true posterior, where m is the subsample size. The method is applied to a logistic regression model to predict rm bankruptcy for a large data set. We document a signi cant speed up in comparison to the standard MCMC on the full data set.
Preparation of lignin-based activated carbon fibers and their application to electrodes for electric double layer capacitor [an abstract of dissertation and a summary of dissertation review]. 論文内容の要旨

Title Preparation of lignin-based activated carbon fibers and their application to electrodes for electric double layer capacitor [an abstract of dissertation and a summary of dissertation review] Author(s) 游, 翔宇 Citation 北海道大学. 博士(農学) 甲第12438号 Issue Date 2016-09-26 Doc URL http://hdl.handle. net/2115/63755 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Xiangyu_You_abstract. pdf (論文内容の要旨)
Iqbal, Qaiser and Bashir, Sajid and Iqbal, Javeid and Iftikhar, Shehla and Godman, Brian (2017) Assessment of medication adherence among type

Aims: Type 2 diabetes (T2DM) is a growing burden among all countries including Pakistan, with medication adherence very important. However, little is known about medication adherence in Pakistan and potential predictors among T2DM patients to provide future guidance. This needs to be addressed. Consequently, the present study sought to assess medication adherence among type 2 diabetic patients in Quetta city, Pakistan. Methods: Questionnaire based, descriptive study among 300 Pakistani patients attending public and private hospitals aged 18 years and above, having a confirmed diagnosis of T2DM, without additional co-morbidities were targeted. Descriptive statistics were used to describe demographic and disease characteristics. The association between socio-demographic data and study variables was compared through Man Whitney / Kruskal Wallis test (where applicable). The factors that were significantly associated with medication adherence were further assessed by logistic regression analysis. Results: 55.6% of patients had high adherence although overall patients reported moderate adherence. Age, gender, education, diabetes-related knowledge and treatment satisfaction were significantly associated with medication adherence. Older males with only primary education and with poor diabetes-related knowledge had the lowest adherence. Conclusions: This study presents a model that is associated with medication adherence among T2DM patients, with disease-related knowledge as a significant predictor of likely adherence. Results of the current study revealed that improved diabetes related knowledge plays a significant role in improving medication adherence. Healthcare practitioners and the system should formalize and acknowledge patient education as a key component to treat patients with T2DM. This should include a greater role for pharmacists and other professionals.
Instability driven by boundary inflow across shear: a way to circumvent Rayleigh’s stability criterion in accretion disks?

We investigate the two-dimensional (2D) instability recently discussed by Gallet et al. (Phys. Fluids, vol. 22, 2010, 034105) and Ilin & Morgulis (J. Fluid Mech., vol. 730, 2013, pp. 364–378) which arises when a radial cross-flow is imposed on a centrifugally stable swirling flow. By finding a simpler rectilinear example of the instability – a sheared half-plane, the minimal ingredients for the instability are identified and the destabilising/stabilising effect of inflow/outflow boundaries clarified. The instability – christened ‘boundary inflow instability’ here – is of critical layer type where this layer is either at the inflow wall and the growth rate is $O(\sqrt{{\it\eta}})$ (as found by Ilin & Morgulis (J. Fluid Mech., vol. 730, 2013, pp. 364–378)), or in the interior of the flow and the growth rate is $O({\it\eta}\log 1/{\it\eta})$ , where ${\it\eta}$ measures the (small) inflow-to-tangential-flow ratio. The instability is robust to changes in the rotation profile, even to those which are very Rayleigh-stable, and the addition of further physics such as viscosity, three-dimensionality and compressibility, but is sensitive to the boundary condition imposed on the tangential velocity field at the inflow boundary. Providing the vorticity is not fixed at the inflow boundary, the instability seems generic and operates by the inflow advecting vorticity present at the boundary across the interior shear. Both the primary bifurcation to 2D states and secondary bifurcations to 3D states are found to be supercritical. Assuming an accretion flow driven by molecular viscosity only, so ${\it\eta}=O(Re^{-1})$ , the instability is not immediately relevant for accretion disks since the critical threshold is $O(Re^{-2/3})$ and the inflow boundary conditions are more likely to be stress-free than non-slip. However, the analysis presented here does highlight the potential for mass entering a disk to disrupt the orbiting flow if this mass flux possesses vorticity.