Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing data mining approach and regression method in determining factors affecting the selection of human resources

Abstract. Appropriate selection of human resources especially human-centered and service organizations has a direct impact on the delivery of products and services of that organization. So far, a variety of methods have been provided by management experts to select people in organizations. One of these methods is using historical data to apply in future selections. Data mining as an effective knowledge has been considered less in this field and generally, it has been limited to simple statistical methods in this regard. In this regard and in this paper, the decision tree technique algorithms as one of the most effective techniques of data mining have been used in addition to use recruitment test database of a commercial bank to investigate the factors that affect the performance and promotion of human resources and compare their results with statistical methods. One of the obtained results is removing the performance assessment variable as the target variable in the data mining method which is due to the lack of precision in the process of evaluating the studied institution's performance assessment. This result is obtained when there is a relationship between performance assessment and at least two variables, according to the regression method. Also, in this research it was indicated that 5 variables of "test total score", "interview score", "educational level", "professional experience", and "province of service site" are effective on improving the volunteers among 26 studied variables. These results have led to the knowledge which has been explained by the experts and converted in the form of recommendations for banks.
The mediating effect of basic vocational competency in the effect of self-esteem on job search skills of Korean middle-aged job seekers

Introduction. Middle-aged Koreans are constantly looking for jobs in order to re-employ, despite the insecurity of declining job quality and wage levels. In order to be re-employed, it is necessary to improve job-search skills. As a way to improve job search skills, the focus was on job-seekers' self-esteem and basic vocational competency. The purpose of this study is to investigate the mediating effect of vocational competency in the effect of self-esteem on job search skills. Study participants and methods. The participants in this study were 357 middle-aged job seekers aged 40 to 64 years old. 56.9% were women, 52.9% were in their 50s and 60s, and 46.2% were college graduates. 69.2% were married and 53.2% lived in small and medium-sized cities. By utilizing SPSS Win. 25.0 and PROCESS macro 3.5, descriptive statistics analysis, reliability analysis, correlation analysis, and mediating effect were analyzed. Results. First, the higher the self-esteem, the higher the basic vocational competency (r=.438, p<.001) and the job search skills (r=.497, p<.001). The higher the basic vocational competency, the job search skills (r=. 699, p<.001) was high. Second, the effect of self-esteem on job search skills was . 516(p<.001), but in the model with additional basic vocational competency, it was reduced to . 245(p<.001). Therefore, the mediating effect of basic vocational competency was verified. Practical significance. It was revealed that self-esteem and basic job skills are important to improve the job-search skills of middle-aged adults. Therefore, in order to support customized career design at the national level, it is suggested that vocational education programs should include not only certification courses, but also content for improving basic vocational competency and counseling for improving self-esteem.
FM-AM noise conversion in dispersive single-mode fibre transmission lines

It is shown that a considerable FM–AM-noise conversion occurs in dispersive fibre-links which must be taken into account when designing analogue subcarrier distribution systems. For a link-length of 10 km at λ = 1.55 μm, RIN-values between − 125 and − 145 dB/Hz are expected for frequencies between 1 and 10GHz.
BTLA Expression in CLL: Epigenetic Regulation and Impact on CLL B Cell Proliferation and Ability to IL-4 Production

In our previous study, while chronic lymphocytic leukemia (CLL) cases showed higher levels of B and T lymphocyte attenuator (BTLA) mRNA compared to controls, lower BTLA protein expression was observed in cases compared to controls. Hence we hypothesize that micro RNA (miR) 155-5p regulates BTLA expression in CLL. In line with earlier data, expression of BTLA mRNA and miR-155-5p is elevated in CLL (p = 0.034 and p = 0.0006, respectively) as well as in MEC-1 cell line (p = 0.009 and 0.016, respectively). Inhibition of miR-155-5p partially restored BTLA protein expression in CLL patients (p = 0.01) and in MEC-1 cell lines (p = 0.058). Additionally, we aimed to evaluate the significance of BTLA deficiency in CLL cells on proliferation and IL-4 production of B cells. We found that secretion of IL-4 is not dependent on BTLA expression, since fractions of BTLA positive and BTLA negative B cells expressing intracellular IL-4 were similar in CLL patients and controls. We demonstrated that in controls the fraction of proliferating cells is lower in BTLA positive than in BTLA negative B cells (p = 0.059), which was not observed in CLL. However, the frequency of BTLA positive Ki67+ B cells in CLL was higher compared to corresponding cells from controls (p = 0.055) while there were no differences between the examined groups regarding frequency of BTLA negative Ki67+ B cells. Our studies suggest that miR-155-5p is involved in BTLA deficiency, affecting proliferation of CLL B cells, which may be one of the mechanisms responsible for CLL pathogenesis.
Reframing the Fake News Problem: Social Media Interaction Design to Make the Truth Louder

: This paper brings a new perspective in social media interaction design that reframes the problem of misinformation spreading on social platforms as an opportunity for UX researchers to design interactive experiences for social media users to make the truth louder. We focus on users’ interaction tendencies to promote 2 target behaviors for the social media users: 1. Users interact more with credible helpful information, and 2. Users interact less with harmful unveriﬁed information. The existing platform-based interventions assist users in getting context and making informed decisions about the information they consume and share on the platform, independently of users’ interaction tendencies on social platforms. But social media users exhibit different interaction behaviors - active users on social platforms tend to interact with content and other users often. In contrast, passive users prefer to avoid the interactions that produce digital footprints. This paper presents a theoretical basis and 3 design principles to pursue the new research perspective - it builds on the Fogg behavior model (FBM) to transform users’ interaction behaviors to mitigate the fake news problem, describes users’ active-passive interactions tendencies as a basis for design, and presents the 2 target interaction behaviors to prompt on social platforms.
Sectoral Conjunctive Use Planning for Optimal Cropping under Hydrological Uncertainty

The canal command of the Hirakud multipurpose major irrigation project of Orissa in eastern India is under severe threat of waterlogging in the monsoon season and acute shortage of irrigation water in the nonmonsoon season. An irrigation scheduling model (ISM) and a linear-programming optimization model (LPM) under hydrologic uncertainty were developed with a view to manage the available land and water resources of the canal command effectively. The ISM was used to predict actual crop yield under different irrigation strategies—namely, full and deficit depths of irrigation. The crop yield obtained by the ISM under different irrigation management strategies was used in the LPM to optimize the land and water resources of the canal command at different probability of exceedances of net irrigation requirement and canal-water availability. The net annual return was found to decrease with the increase in the level of deficit with maximum return under full irrigation strategy. Hence, from the benefit point of vi.
USING E-PARTICIPATION FOR MISSION STATEMENT DEVELOPMENT: PROMISES AND CHALLENGES

Mission statements are documents that summarize an organization’s core values and strategies and are used to motivate employees by creating a common understanding among them. However, studies have shown that employees often seek more involvement in the development of mission statements in their organizations. Digitization pushes the implementation of new information and communication technology in the workplace. Therefore, we argue for the potential of using e-participation for the creation of a mission statement. With this paper, we contribute to digital government research by presenting a nominal group process consisting of eight activities, for the deployment of e-participation for the purpose of mission statement development. We evaluate the suggested process using an existing e-participation tool. Our evaluation results reveal challenges of implementing e-participation with the tested tool, especially regarding the usability. Therefore, we provide an overview of specific improvements in the design of e-participation platforms that should be considered in the further development of such platforms.
Efficient Fruits Classification Using Convolutional Neural Network

Classification of fruits is a growing research topic in image processing. Various papers propose various techniques to deal with the classification of apples. However, some traditional classification methods remain drawbacks to producing an effective result with the big dataset. Inspired by deep learning in computer vision, we propose a novel learning method to construct a classification model, which can classify types of apples quickly and accurately. To conduct our experiment, we collect datasets, do preprocessing, train our model, tune parameter settings to get the highest accuracy results, then test the model using new data. Based on the experimental results, the classification model of green apples and red apples can obtain good accuracy with little loss. Therefore, the proposed model can be a promising solution to deal with apple classification.
Novel Organic Polymeric and Molecular Thin-Film Devices for Photonic Applications

Title of Dissertation: Novel Organic Polymeric and Molecular Thin-Film Devices for Photonic Applications Younggu Kim, Doctor of Philosophy, 2006 Dissertation directed by: Professor Chi H. Lee Department of Electrical and Computer Engineering The primary objective of this thesis is to explore the functionalities of new classes of novel organic materials and investigate their technological feasibilities for becoming novel photonic components. First, we discuss the unique polarization properties of optical chiral waveguides. Through a detailed experimental polarization analysis on planar waveguides, we show that eigenmodes in planar chiral-core waveguides are indeed elliptically polarized and demonstrate waveguides having modes with polarization eccentricity of 0.25, which agrees very well with recent theory. This is, to the best of our knowledge, the first experimental demonstration of the mode ellipticities of the chiral-core optical waveguides. In addition, we also examine organic magneto-optic materials. Verdet constants are measured using balanced homodyne detection, and we demonstrate organic materials with Verdet constants of 10.4 and 4.2 rad/T ·m at 1300 nm and 1550 nm, respectively. Second, we present low-loss waveguides and microring resonators fabricated from perfluorocyclobutyl copolymer. Design, fabrication and characterization of these devices are addressed. We demonstrate straight waveguides with propagation losses of 0.3 dB/cm and 1.1 dB/cm for a buried channel and pedestal structures, respectively, and a microring resonator with a maximum extinction ratio of 4.87 dB, quality factor Q = 8554, and finesse F = 55. In addition, from a microring-loaded Mach-Zehnder interferometer, we demonstrate a modulation response width of 30 ps and a maximum modulation depth of 3.8 dB from an optical pump with a pulse duration of 100 fs and a pulse energy of 500 pJ when the signal wavelength is initially tuned close to one of the ring resonances. Finally, we investigate a highly efficient organic bulk heterojunction photodetector fabricated from a blend of P3HT and C60. The effect of multilayer thin film interference on the external quantum efficiency is discussed based on numerical modeling. We experimentally demonstrate an external quantum efficiency ηEQE = 87± 2% under an applied bias voltage V = −10V, leading to an internal quantum efficiency ηIQE ≈ 97%. These results show that the charge collection efficiency across the intervening energy barriers can indeed reach near 100% under a strong electric field. Novel Organic Polymeric and Molecular Thin-Film Devices for Photonic Applications by Younggu Kim Dissertation submitted to the Faculty of the Graduate School of the University of Maryland, College Park in partial fulfillment of the requirements for the degree of Doctor of Philosophy 2006 Advisory Committee: Professor Chi H. Lee, Advisor/Chair Doctor Warren N. Herman, Co-advisor Professor Julius Goldhar Professor Christopher C. Davis Professor James R. Anderson c © Copyright by Younggu Kim 2006
Control of Three Phase Inverters for Renewable Energy Systems Under Unbalanced Grid Voltages

This paper presents two control algorithms for grid-tied three-phase inverters for renewable energy systems under unbalanced grid voltages. The algorithms are focused on the quality of the injected currents, so they are used to inject balanced currents despite the voltage unbalances. Each algorithm is composed of three control loops: the reference signal generation, the reference signal synchronization and the curent controller. The first control loop generates the reference currents in order to regulate the active and the reactive powers delivered to the grid by the renewable energy system. The second loop is used to estimate the positive sequence component of the grid voltage. The last control loop generates the power inverter firing pulses in order to follow the reference current. In this paper are considered two algorithms, one algorithm in the abc coordinates and the other in the dq0 coordinates. In both cases, it is considered a Kalman filter as the synchronization algorithm. The algorithms performance is evaluated by some simulations in PSIM and a comparative analysis is made between them. The results showed that the two algorithms present an outstanding performance in the injection of balanced currents with low total harmonic distortion despite the voltage unbalance. Also, the Kalman filter gets the desired estimation in less than a quarter of the grid period.
The Development of Mobile Game-Based Learning for Lanna Food Knowledge Transmission to Children in Chiang Mai

- Today's teaching and learning processes need to apply technology to attract and create a suitable environment for learning. Digital games are one of the practical tools that help support teaching and learning. Various independent reports have verified the positive relationship between learning and students' engagement by using computer games to attract learners' attention and encourage learning in content. Many Lessons such as Math, science, and English classes have also benefited from digital games. Still, they appear less in cultural content, in which knowledge and cultural wisdom of the past is valuable day by day but will gradually disappear. Due to the lack of proper transmission and storage to pass on to the next generation and the lack of modern cultural learning materials. As a result, the interest and perception of the new generation's culture decreased. This study focused on developing mobile applications using game-based learning to support practicing and stimulate children's learning on Northern Thai cookery topics. There are several activities involved in designing this game, including the preparation of art style, game design documents, level design, game interface design, and evaluation system. In the school or in addition to the exhibit, users will have a creative, active learning experience using the software. They will experience each stage of cooking from the selection and preparation of raw material, ingredients, and kitchen utensils, including cooking techniques and methods according to Northern Thai recipes inherited in the form of a simulation. The game will allow children to practice each step of the local cuisine in the Chiang Mai context and eliminate the complex problem during the long process and tight sequences of the cooking. The method used in designing the application is interviews, paper prototyping, and usability tests on player experience. Studies based on these results will improve the playful application and suggest future work directions.
Spatiotemporal dynamics of encroaching tall vegetation in timberline ecotone of the Polar Urals Region, Russia

Previous studies discovered a spatially heterogeneous expansion of Siberian larch into the tundra of the Polar Urals (Russia). This study reveals that the spatial pattern of encroachment of tree stands is related to environmental factors including topography and snow cover. Structural and allometric characteristics of trees, along with terrain elevation and snow depth were collected along a transect 860 m long and 80 m wide. Terrain curvature indices, as representative properties, were derived across a range of scales in order to characterize microtopography. A density-based clustering method was used here to analyze the spatial and temporal patterns of tree stems distribution. Results of the topographic analysis suggest that trees tend to cluster in areas with convex surfaces. The clustering analysis also indicates that the patterns of tree locations are linked to snow distribution. Records from the earliest campaign in 1960 show that trees lived mainly at the middle and bottom of the transect across the areas of high snow depth. As trees expanded uphill following a warming climate trend in recent decades, the high snow depth areas also shifted upward creating favorable conditions for recent tree growth at locations that were previously covered with heavy snow. The identified landscape signatures of increasing tall vegetation, and the effects of microtopography and snow may facilitate the understanding of treeline dynamics at larger scales.
Towards a Robotic Hand Rehabilitation Exoskeleton for Stroke Therapy

A majority of stroke patients suffer from the loss of effective motor function, which compromises their ability to control grasping motion. Hand rehabilitation is therefore important to improve their motor function and quality of life in activities of daily living (ADLs). In this initial work, we present the design and development of a partial hand exoskeleton actuated by shape memory alloy (SMA) spring actuators. The SMA spring actuators are cooled by forced convection and the individual joints of the finger are actuated via tendons. In this design, pre-tension in the passive springs enables the restoration of the original configuration when the SMA springs are not actuated. To address the slow cooling rate of SMA springs that limits the control performance, we developed a cooling unit for each SMA spring actuator. We utilized computer vision to identify an object and provide 3-D coordinates of the optimal grasping points on the object. We then utilized vision-based control to move the fingertips towards the grasping points. The experimental results showed that each individual joint was able to return to its original configuration significantly faster as well as to follow a sinusoidal trajectory with the proposed cooling strategy.Copyright © 2014 by ASME
Detection of potholes in autonomous vehicle

Pothole avoidance may be considered similar to other obstacle avoidance, except that the potholes are depressions rather than extrusions from a surface. This study discusses a solution for detection of potholes in the path of an autonomous vehicle operating in an unstructured environment. Here, a vision approach is used since the simulated potholes are significantly different from the background surface. Furthermore, using this approach, pothole can only be detected in case of uniform lighting conditions. The solution to the problem is developed in a systematic manner. Initially, a specific camera and frame grabber are chosen, then camera is mounted on top of the autonomous vehicle and the images will be acquired. Then, a software solution is designed using MATLAB. The method is tested under real-time conditions and results demonstrate its reasonable efficiency.
Single-piece polycrystalline silicon accumulation/depletion/inversion model with implicit/explicit surface-potential solutions

A single-piece analytical equation for the surface potential at the polycrystalline-silicon (poly-Si) gate of a metal-oxide-semiconductor field-effect transistor is presented, which accounts for the poly-accumulation, poly-depletion, and poly-inversion effects. It is shown that the model accurately describes the physical behavior of the surface potentials, gate charge, and capacitance, with smooth transitions, which has been verified with iterative, explicit, and numerical solutions. The proposed model can be used in implicit or explicit surface-potential-based formulations.
Quality factor enhancement for resonant MEMS applying an analogue feedback circuit driven by a lock-in amplifier

In this study, an analogue Q-control circuit is presented, based on a digital feedback loop. In this approach, a self-actuated and self-sensing piezoelectric microstructure is used in combination with a lock-in amplifier to extract the Q-control feedback signal amplitude which is proportional to the piezoelectric current. In the next step, the DC-value supported by the lock-in amplifier is multiplied with a sine signal on a custom-designed analogue circuit board containing an analogue amplifier IC. This generated analogue feedback signal allows to drive a complete analogue feedback loop enabling faster response of the Q-control and further faster measurements can be performed. Using this Q-factor enhancement technique, the Q-factor was increased from 397 to about 5357 in air without driving the used Q-control approach to its limits. These promising results will push further activities in measuring the viscosity of liquids in the future.
Capacity for sustaining agricultural innovation platforms in Rwanda: A case study of " Research into use" project

Research Into Use (RIU), is a DFID funded project (2006-2011), aiming at strengthening capacities for uptake of agricultural innovations by end-users through Innovation Platforms (IPs). In Rwanda, RIU IPs are focusing on maize, cassava, potato and farmers associations respectively in Nyagatare, Gatsibo, Gicumbi and Karongi districts. The funding is coming to an end whereas capacity building is vital to sustain these platforms beyond the project duration. This study was designed to establish the contextual factors, institutional arrangements, incentives and competences required for effective functioning and sustainability of agricultural IPs in Rwanda. Based on relevant literature review, the methodology used included focus group discussions, individual interviews, observations and capacity needs scoring. Results indicate the success of RIU in establishing the four agricultural innovation platforms and strengthening social networks between various actors (farmers, cooperatives, local leaders, NGOs, etc.). Contextual factors conducive to agricultural IPs development include local resources, local actors and hard work. Recommendations will be used by DFID and its partners.