Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of electrical stress on the distribution of electrically active defects in IGBT

This paper highlights electrically active defects investigation of the sixth generation 1200 V trench stop silicon-based Insulated Gate Bipolar Transistors by Deep Level Transient Fourier Spectroscopy. The focus is on the impact of electrical stress on defects distribution in the studied structures. Five electronlike deep energy levels ET1 (0.126 eV), ET2 (0.188 eV), ET3 (0.322 eV), ET4 (0.405 eV), and ET5 (0.514 eV), and nine hole-like deep energy levels HT1 (0.187 eV), HT2 (0.231 eV), HT3 (0.246 eV), HT4 (0.301 eV), HT5 (0.319 eV), HT6 (0.327 eV), HT7 (0.529 eV), HT8 (0.534 eV), and HT9 (0.750 eV) were identified. The presence of unintentional impurities like zinc, platinum, gold, etc. and emissions from structural imperfections was confirmed. A significant increase of the defect concentration after electrical stress in the temperature range of 120 to 225 K has been detected. Electrical stress did not affect the defect concentration above temperature 300 K.
FOCUS mHealth Intervention for Veterans With Serious Mental Illness in an Outpatient Department of Veterans Affairs Setting: Feasibility, Acceptability, and Usability Study

Background Veterans with serious mental illnesses (SMIs) face barriers to accessing in-person evidence-based interventions that improve illness management. Mobile health (mHealth) has been demonstrated to be feasible, acceptable, effective, and engaging among individuals with SMIs in community mental health settings. mHealth for SMIs has not been tested within the Department of Veterans Affairs (VA). Objective This study examines the feasibility, acceptability, and preliminary effectiveness of an mHealth intervention for SMI in the context of VA outpatient care. Methods A total of 17 veterans with SMIs were enrolled in a 1-month pilot trial of FOCUS, a smartphone-based self-management intervention for SMI. At baseline and posttest, they completed measures examining symptoms and functional recovery. The participants provided qualitative feedback related to the usability and acceptability of the intervention. Results Veterans completed on an average of 85.0 (SD 96.1) interactions with FOCUS over the 1-month intervention period. They reported high satisfaction, usability, and acceptability, with nearly all participants (16/17, 94%) reporting that they would recommend the intervention to a fellow veteran. Clinicians consistently reported finding mHealth-related updates useful for informing their care. Qualitative feedback indicated that veterans thought mHealth complemented their existing VA services well and described potential opportunities to adapt FOCUS to specific subpopulations (eg, combat veterans) as well as specific delivery modalities (eg, groups). In the 1-month period, the participants experienced small improvements in self-assessed recovery, auditory hallucinations, and quality of life. Conclusions The FOCUS mHealth intervention is feasible, acceptable, and usable among veterans. Future work should develop and examine VA-specific implementation approaches of FOCUS for this population.
Optimize the Satellite Orientation by Using the Inertial Pulse Method, Intelligent Damper, Dynamics, Kinematics and Proper Neural Network

In the paper are shown one assisted method of the control orientation inertial mechanism of the small satellite. It is presented some of the general components of the small satellite and the possibility to orientation them between three axes using the inertial pulse of the electrical motors. The angular space position was determines by command of the final point and using the proper neural network to solve the inverse kinematics problem with the minimum of the errors. The precision of the space orientation position was increased by using in the proper controlling schema a direct kinematics module, direct and inverse dynamics, intelligent damper and one multiple inertial pulse method what was described in the paper. Finally was obtained one very good precision, before 2%. The neural network, the inertial pulse method, the results and the virtual LabVIEW instrumentation could be used in many other researches on the field.
A method to estimate soil‐water movement under a trickle surface line source, with water extraction by roots

The analysis of local infiltration from a surface line source of trickle irrigation in two homogeneous, unsaturated soils, using three wetting rates in each soil is presented. A method to determine the depth of the wetted soil volume under a trickle line is described. The proposed method is based on numerical results from a plane flow model, which takes into account water uptake by roots, and separates the phenomenon in two phases; the length of each phase depends on the duration of the irrigation and the soil. The empirical relationships, an exponential for the stage of the infiltration and a polynomial for the stage after the end of the irrigation, are only time dependent in order to achieve simplicity. Five statistical criteria were used to evaluate the quality of the method's results: average error (AE), root mean square error (RMSE), root mean square (RMS), modeling efficiency (EF) and coefficient of residual mass (CRM), in combination with goodness of fit, R2. The agreement between the numerical results and the values calculated by the empirical relationships was very satisfactory, showing that the combined use of an exponential and a polynomial empirical relationship can reasonably be used to calculate the vertical movement of the wetting front through the soil profile. Copyright © 2003 John Wiley & Sons, Ltd.
The Influence of Personality Traits, Motivation, Learner Autonomy and Leadership Style Towards Job Performance

In the current context of organizations, personality traits, motivation, learner autonomy, and leadership style are some of the important antecedents that influence job performances. However, the disclosure of job performance among public servants through mass media such as delays in the delivery of services, inefficiency in performing jobs, dissatisfaction over service quality, dissatisfaction regarding accountability and integrity become a restriction in the service delivery system. Therefore, this study examines the influence of personality traits, motivation, learner autonomy, and leadership style on job performance. This study also aims to determine the most influential factors on job performance. The population in this study included 16,960 staff of Universiti Teknologi MARA (UiTM), with a sample of 600 respondents, using the stratified sampling method. The study is guided by an adapted ten-point Likert Interval Scale structured questionnaire as the main instrument used in collecting the data. Furthermore, the analysis of data was undertaken by using Confirmatory Factor Analysis (CFA) procedures and Structural Equation Model (SEM) utilizing AMOS software. The findings show that personality trait, motivation, learner autonomy, and leadership style contributes 37 percentages to job performance. The analysis of SEM revealed that there is a significant relationship between personality traits, motivation, learner autonomy, and leadership style on job performance. Besides that, these research findings show that employee motivation is the most significant factor that influences job performance. The study proves that individual job performance can be improved if the combination of the personality traits, motivation, learner autonomy, and leadership style on job performance is in a sound state. Therefore, implications of the findings, potential limitations, and directions for future research are also discussed.
Influence of abutment transmucosal height on biomechanical behavior in narrow platform implants

— The distribution and transfer of masticatory loads through prosthetic components, implants and peri-implant bone is a critical issue that can influence the rehabilitation treatment and result in its failure. Thus, this in silico study aimed to evaluate the influence of the transmucosal height of the prosthetic abutment and the diameter of the implants on the biomechanical behavior of dental implants. Two virtual models of 10 mm long Morse taper implants were built combining components with transmucosal (height 1.5 and 2.5 mm) in two diameters of platform (2.9 or 3.3 mm). Each set was positioned in a virtual bone model, where a lower central incisor was designed and exported for mathematical analysis. A 0.50 mm mesh was created after 5 % convergence analysis, and a 50 N load was applied to the incisolingual surface of the prosthetic crown at an angle of 30 The stress distribution generated by load was analyzed in the prosthetic components according to the von Mises stress criterion and in the cortical and medullary bones by means of shear The use of an with a mm transmucosal the of the a slight
A seascape approach for guiding effective habitat enhancement

Kelp habitats are threatened across the globe, and because of their ecological importance, active conservation and restoration solutions are needed. The use of man-made structures as artificial reefs is one way to enhance kelp habitat by providing suitable substrata, but in the past the ecology of artificial structures has been investigated mainly in contrast to natural coastal habitats, not as elements integrated into the seascape. Indeed, it is now emerging that structuring processes, including ecological interactions (e.g., herbivory), can depend on properties of the surrounding seascape. In Eastern Canada, grazing by the green sea urchin can jeopardize the success of artificial reefs for kelp enhancement. Urchin activity is, however, likely to be influenced by the bottom composition, and thus a seascape approach is needed to integrate urchin behavior and habitat heterogeneity. Adopting a spatially explicit framework, we investigated whether the seascape creates areas of differential grazing risk for kelp by affecting urchin habitat use. Specifically, we transplanted kelp onto modules of artificial substrata distributed on a heterogeneous area that we mapped for bottom type and algal cover. After following kelp survival and urchin distribution over time, we modeled kelp survival as function of urchin metrics and coupled it to urchin use of the habitat models to map grazing risk in the area. Kelp survival was a function of the frequency of the urchins presence. Urchins avoided sandy patches, while bottom composition and algal cover modulated the within-patch urchin use of the habitat, creating heterogeneity in grazing risk. Discrete seascape features (boulders) also increased the grazing risk locally. The heterogeneity of coastal seafloor can thus play a major role in determining the ecological outcomes on artificial structures. Incorporating this information when planning artificial reefs could minimize the detrimental grazing risk, thereby increasing the success of artificial reefs for kelp habitat enhancement.
A survey of the optimal power flow literature

A survey is presented of publications in the fields of optimal power flow and dispatching. It suggests a classification of methods based on the choice of optimization techniques. The survey is summarized in a single flow-chart-type figure, which indicates the relationship between methods, their chronology, and their popularity. This figure is based on a compilation of over three hundred publications. >
Automated parallel microassembly for MEMS application

This paper presents the automation of a parallel microassembly process for the construction of out-of-plane microstructures. Images from two vision systems were utilized to automate the grasping and the insertion of three microparts simultaneously. A modified microgripper design and guiding beams were introduced to minimize the possible shift of the micropart and their effectiveness was confirmed experimentally. Parallel microassembly experiments were conducted with success rates of 93% and 61% for the automatic grasping and insertion, respectively. Orientation shifting, experienced by the microparts during the fracture of the supporting tethers, is the suspected cause of failure.
Structuring information on residential building: a model of preference

The purpose of this paper is to describe the methodological problems involved in planning and designing housing programmes and to discuss the cognitive structure and context of residential housing through a comprehensive questionnaire that examined various aspects of the housing environment. In the last two decades, Jordan has established several housing programmes consisting of multistory buildings for the limited income group. Such new programmes yield conflicts and face cultural constraints that need to be understood and resolved. Based on 400 mailed survey questionnaires, the major focus of the study has been the determination of the needs and preferences of the clients in housing and suggesting responses that are empathetic and consistent with their lifestyles, values and family patterns. The key to establishing a successful housing sector appears to be the ability of developers to adequately identify these issues. Several factors of cognitive structure were attained: space and the high cost of housing are the key considerations from a client's point of view; the interior design of buildings is below expectations; and outdoor space and materials used for the exterior are also important factors in determining a preference for some housing features. Other factors such as exterior appearance, functionality, kitchen size, type of community and neighbourhood, housing proximity to community facilities, and heating systems must also receive adequate consideration. Another important implication is that individuals within the same income and educational level may not necessarily share the same assumptions with regard to their needs and aspirations. Therefore, a clearly defined strategy will help designers and managers in a young expanding sector to establish various and high quality housing programmes; hence, the better the image, the more able it is to attract customers. The findings identify some of the barriers that could limit the acceptance of new housing features, and offer insights into how such features could be effectively explained and linked to the wants and needs of clients. Therefore, programme managers and developers must understand the sources of competitive advantage in the housing sector; this can make the difference in gaining and retaining customers. The customer's perception is a complex construct, and there are significant interrelations between housing design and human behaviour of which we are almost completely ignorant.
Introducing the UCDP Georeferenced Event Dataset

This article presents the UCDP Georeferenced Event Dataset (UCDP GED). The UCDP GED is an event dataset that disaggregates three types of organized violence (state-based conflict, non-state conflict, and one-sided violence) both spatially and temporally. Each event – defined as an instance of organized violence with at least one fatality – comes with date, geographical location, and identifiers that allow the dataset to be linked to and merged with other UCDP datasets. The first version of the dataset covers events of fatal violence on the African continent between 1989 and 2010. This article, firstly, introduces the rationale for the new dataset, and explains the basic coding procedures as well as the quality controls. Secondly, we discuss some of the data’s potential weaknesses in representing the universe of organized violence, as well as some potential biases induced by the operationalizations. Thirdly, we provide an example of how the data can be used, by illustrating the association between cities and organized violence, taking population density into account. The UCDP GED is a useful resource for conflict analyses below the state and country-year levels, and can provide us with new insights into the geographical determinants and temporal sequencing of warfare and violence.
The Word Shrinks, the World Expands

This paper considers the scientific and technological backgrounds of two quite different fields: petrochemical geophysics and information technology, and their respective and opposite roles in “shrinking” or “expanding” the perceived and actual size, scale, and grain of the developed landscape. The post-“oil peak” future will necessitate a contraction, or relocalization in the source-to-end use distances of physical goods and resources as transportation fuels become scarce and extremely expensive: for the first time in history, the world perceptually expands, as travel and freight shipping become more difficult and time-consuming. On the other hand, the continued increase in global electronic communication and consolidation of corporate ownership will continue to virtually “shrink” the world and globalize many aspects of culture. Thus, we enter a new perceptual relationship between time, scale, and sense of place unlike that ever previously experienced. As a result, we may anticipate future land patterns that respond to the relocalizing effects of scarce, expensive, and renewable transportation and shipping fuels on the one hand, and the continued globalization of culture and corporate ownership on the other.
The Influence of Promotion and Waqf Knowledge toward Cash Waqf Awareness in Pahang Region

The notion that waqf only involves permanent property such as graveyards, mosques and buildings is well established among the community. However, developments during the implementation of wakaf have given birth to new mechanisms involving the use of non permanent property such as money better known as cash wakaf. Cash waqf is a waqf mechanism that raises waqf funds and then converts them into permanent property. However, the existence of this cash wakaf is still in doubt among the community because the use of money is said to be depleted when used. Against the background of this phenomenon, this study was conducted to identify the perception and level of public awareness on the implementation of cash endowment. Accordingly, this study looks at the extent to which the medium of promotion and knowledge gives awareness to the community to implement the cash endowment. This study uses quantitative methods. This study was conducted by distributing questionnaires online using google form to 230 Muslim communities in Pahang region. The data obtained were then analysed using SmartPLS (Structural Equation Modeling). The results of the study found that the factors of promotion and knowledge are significant and positively related in providing awareness and understanding of cash endowment. Although the Muslim community in Pahang region knows and understands about cash wakaf, but the majority still do not get involved in the cash wakaf. It is hoped that this study can help the parties involved, especially MAIN in raising awareness of the local community in order to increase participation in the cash endowment activities that can be participated by all levels of society.
Discriminative non-negative representation based classifier for image recognition

During the past decade, representation based classification method has received considerable attention in the community of pattern recognition. The recently proposed non-negative representation based classifier achieved superb recognition results in diverse pattern classification tasks. Unfortunately, discriminative information of training data is not fully exploited in non-negative representation based classifier, which undermines its classification performance in practical applications. To address this problem, we introduce a decorrelation regularizer into the formulation of non-negative representation based classifier and propose a discriminative non-negative representation based classifier for pattern classification. The decorrelation regularizer is able to reduce the correlation of representation results of different classes, thus promoting the competition among them. Experimental results on benchmark datasets validate the efficacy of the proposed discriminative non-negative representation based classifier, and it can outperform some state-of-the-art deep learning based methods. The source code of our proposed discriminative non-negative representation based classifier is accessible at https://github.com/yinhefeng/DNRC.
Analysts’ Forecasts and Stock Prices in Nigeria

Analyst forecast information is available to the public in less developed countries at a little cost. The role of analysts in forecasting stock returns cannot be over-emphasized. Yet, little scholarly works have been done in Nigeria. The purpose of this paper is to interrogate analysts’ forecasts' effect on share prices in Nigeria. The research approach is correlational. We collected and analyzed data for several years from the annual reports and accounts of 138 corporations over 10 years (2010-2019). The results indicate that experts 1, 3, and 4 have a significant and positive impact on stock return. The information from expert 2 had failed to show any signal of significance. Based on the majority of these results, the paper recommends that financial analysts consider the information when considering the price of stocks in Nigeria. The conclusion is that the study results have implications for stakeholders (management, public, employees, suppliers, investors, creditors, regulators, governments, customers, users, partners, charity organizations, special interest-holders; competitors, community groups, trade groups, and the media/press) and based on the findings, it is suggested among others that stakeholders who need the prices of stocks should depend on analyst forecast.
Characterization of electrostatic glass actuators

Electrostatic glass actuators are a promising concept for various applications. The use of the interaction between glassy substances and electrostatic fields allows synchronous propulsion akin to the electret actuator. Even though some properties of electrostatic glass motors have been observed and described, a characterization is still missing. The authors would like to present the experimental work leading to the determination of the optimal glass blend and to the optimal electrode pattern in order to maximize the exploitable forces. An analytical model is also presented, satisfactorily close to the measured data. These measurements and models constitute a tool to design electrostatic glass actuators such as, for example, a miniature disk drive, which is presented as one of several promising applications.
Extraction and Classifier Design for Image Recognition of Insect Pests on Field Crops

Feature extraction and the classifier design were the crucial parts for image recognition of insect pests on agriculture field crops. The hardware of the detection device for insect pests included the trapping, stunning and buffering unit, the even illumination unit, the scattering and transporting unit, and the image vision unit. The seven morphological features from binary images of the insect pests were extracted and normalized, such as area, perimeter, and complexity. The standard vector model library and the membership functions were established based on the feature mean and the feature standard deviation of the nine species of pests. The fuzzy decisions were analyzed based on the fuzzy principle of the minimum and maximum membership degree. The results showed that the fuzzy classifier could identify the nine species of pests that harmed seriously, and the recognition accuracy was over 86%.