Miracle-dz/UniFAR-FTUs huggingface dataset:
Transformative Learning in Human Resource Development: Successes in Scholarly Practitioner Applications--Conflict Management, Discursive Processes in Diversity and Leadership Development.

Today’s complex global environment calls for leaders to be agile decision makers, to engage in critical selfreflection, integrating reflection with action, and to partner with those who are different in significant ways. These capabilities and skills are the core qualities of transformative learning. This session weaves together research findings that explores transformative learning in the context of managing conflict, leveraging diversity and relational leadership. The interactive design of this session will demonstrate how three practitioners have designed structured processes to foster transformative learning.
Small-Size Eight-Band Frequency Reconfigurable Antenna Loading a MEMS Switch for Mobile Handset Applications

A planar small-size eight-band frequency reconfigurable antenna for LTE/WWAN mobile handset applications is proposed. The proposed antenna consists of a feeding strip and a coupled strip, with a total dimension of 10 × 29.5mm. Reconfigurability is realized by incorporating a one-pole four-throw RF switch, which is embedded in the coupled strip and changes the resonant modes for the lower band. By combining four different working modes, the proposed antenna successfully realize the eight-band operation, covering the operating bands of 700∼787MHz, 824∼960MHz, and 1710∼2690MHz. In addition, the simple DC bias circuit of the RF switch has little effect on the antenna performances, with no significant reduction in antenna efficiency and variations in the radiation patterns. The measured antenna efficiencies are 40%∼50% and over 60% for the lower band and the upper band, respectively. Prototypes of the proposed frequency reconfigurable antenna incorporating the one-pole four-throw switch are fabricated and measured. The measured results including return losses and radiation characteristics are presented.
Iterative solution paradigms for uncalibrated visual servoing

Uncalibrated, model free, robot visual servoing has been widely applicable in robot vision due to minimal requirements related to calibration and robot kinematic’ s parameters. The numerical quasy-Newton methods offer a theoretical background for problem solving, which has been proven hard as the real system has been influenced with the noise. Consequently, additional attention has to be paid which assured stability and the robustness of the proposed method. In this paper we have presented the simulation results of various, well-known iterative solution efficacy performing the target tracking Each of the presented approaches originally contribute to numerical method improvement emerging the appropriate paradigm to specific problem solving .
A minimal amount of acrylonitrile turns the nitroxide‐mediated polymerization of methyl methacrylate into an almost ideal controlled/living system

Nitroxide-mediated controlled/living free-radical polymerization of methyl methacrylate initiated by the SG1-based alkoxyamine BlocBuilder was successfully performed in bulk at 80―99 °C with the help of a very small amount of acrylonitrile (AN, 2.2―8.8 mol %) as a comonomer. Well-defined PMMA-rich P(MMA-co-AN) copolymers were prepared with the number-average molar mass, M n , in the 6.1―32 kg mol ―1 range and polydispersity indexes as low as 1.24. Incorporation of AN in the copolymers was demonstrated by 1 H and 13 C NMR spectroscopy, and its effect on the chain thermal properties was evaluated by DSC and TGA analyses. Investigation of chain-end functionalization by an alkoxyamine group was performed by means of 31 P NMR spectroscopy and chain extensions from a P(MMA-co-AN)-SG1 macroinitiator. It demonstrated the very high proportion of SG1-terminated polymer chains, which opened the door to block copolymer synthesis with a high quality of control.
Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique

: A secure face spoof detection systems demands the capability to identify whether a face is from a real person or a spoofed image which is create by spoofer. Face spoofing induces deformation in the image and also degrades the image pattern quality. In this research work, analysis of distortion and the quality assessment of an image to identify spoof attack is the most important consideration. The existing methods in image distortion analysis, extracts the feature sets that capture the facial details but pattern of image is not in consideration. So, the designed spoof detection system utilizes a hybrid algorithm by combining the genetic algorithm and artificial neural network to create a unique feature sets according to the categories of database images. In addition, it also uses SIFT descriptor to extract the key points of face and identify the pattern of face in the ROI of image. Artificial Neural Network (ANN) classifier is used for the training of proposed spoof detection system. It is seen that the designed hybrid system face spoof detection achieves high performance than the existing system and execution time is also well. The proposed approach is evaluated using MATLAB simulator in image processing and computer vision toolbox.
Cytotoxicity activity of root extract/fractions of Eurycoma longifolia Jack root against vero and Hs27cells.

One extract (TACME) and four fractions (TAF 273, TAF 355, TAF 191 and TAF 401) from Eurycoma longifolia root reported in literature as antimalarial agent were evaluated for their in vitro cytotoxicity activity against two mammalian cell lines (Vero/HS27) which will be use as host for our future antiparasitic activity study. The in vitro cytotoxicity activity was measured by methyl thiazolyl tetrazolium (MTT) assay. The CC50 values of TACME, TAF 273, TAF 355, TAF 191 and TAF 401 against Hs27 cell were 2.75, 1.50, 3.75, 2.50 and 2.00 μg/ml, respectively. The extract and all fractions of E. longifolia root tested have high toxicity (CC50 < 20 μg/ml) against Hs27 cells. The Vero cells toxicity levels (CC50) for TAF 273, TAF 355, TAF 191, TAF 401 and TACME were 9.5, 23.5, 5.0, 15.0 and 6.75 μg/ml, respectively. Hence, four of these extract/fractions demonstrated significant antiproliferative activity against the cell lines. Moreover, TAF 401 showed lower activity and the TAF 355 fraction did not caused any toxicity against Vero cell lines tested in this study. Based on these results TAF 355 and TAF 401 were suggested for further in vitro toxoplasmicidal evaluation by using Vero cells as host for Toxoplasma gondii.
Influence of Interface Thermal Resistance on Relaxation Dynamics of Metal-Dielectric Nanocomposite Materials under Ultrafast Pulse Laser Excitation

Nanocomposite materials, including noble metal nanoparticles embedded in a dielectric host medium, are interesting because of their optical properties linked to surface plasmon resonance phenomena. For studding of nonlinear optical properties and/or energy transfer process, these materials may be excited by ultrashort pulse laser with a temporal width varying from some femtoseconds to some hundreds of picoseconds. Following of absorption of light energy by metal-dielectric nanocomposite material, metal nanoparticles are heated. Then, the thermal energy is transferred to the host medium through particle-dielectric interface. On the one hand, nonlinear optical properties of such materials depend on their thermal responses to laser pulse, and on the other hand different parameters, such as pulse laser and medium thermodynamic characterizes, govern on the thermal responses of medium to laser pulse. Here, influence of thermal resistance at particle-surrounding medium interface on thermal response of such material under ultrashort pulse laser excitation is investigated. For this, we used three temperature model based on energy exchange between different bodies of medium. The results show that the interface thermal resistance plays a crucial role on nanoparticle cooling dynamics, so that the relaxation characterized time increases by increasing of interface thermal resistance.
IMPACT OF ARSENIC ON TESTOSTERONE SYNTHESIS PATHWAY AND SPERM PRODUCTION IN MICE

Arsenic is found in biological systems as inorganic oxy forms (oxides, arsenites and arsenates) and as organic arsenic compounds. Arsenic found in soil and drinking water comes from geophysical as well as anthropogenic sources. The most common route of exposure for the general public is food and drinking water. Public health concerns have centered on carcinogenic, cardiovascular and nervous system effects seen in populations exposed to arsenic in drinking water. In geographical areas that do not have high levels of As contamination in drinking water, dietary intake is the major exposure route. Thus, consumption of contaminated foods or their processed products are often major contributors to As exposure and subsequent human-health effects. To evaluate possible toxicity on the male reproductive system during arsenic therapy, male mice were used as a model. In the present investigation, the dose of 3 mg/Kg b.w & 4 mg/Kg b.w of Arsenic trioxide (As2O3) was continuously administered to male mice for 8 weeks. The mice were sacrificed on 2nd , 4th ,6th , & 8th week to observe the sperm quality(sperm count & sperm motility) and level of Testosterone and Leutinizing hormone (LH) in the serum. After treatment, major changes were observed in androgenic activity of male mice with reduced accumulation of spermatozoa and imbalance hormonal level. Significant changes were observed in sperm count, and motility (p<0.001) and declination in the level of Testosterone and inclination in the level of LH were observed which signify the testicular dysfunctions and leading to inhibit testosterone synthesis pathway, finally causes male infertility.
A Large-scale and Global Car Dataset for Verification

Few researches focus on the larger-scale car model dataset compared with other objects in computer vision for verification, such as classification and face verification. In this paper, we present our on-going effort in collecting a large-scale and global dataset, Gcars, for improving related car model research. This dataset contains not only the most famous global car models but also the most locals in China, where all car images are collected from public website and the car hierarchy is a three-layer, make, model and type. We also demonstrate the most important application, car verification, exploiting the dataset. The performance in terms of verification accuracy is better than that of the benchmark dataset, namely CompCars, which is the similar and famous dataset, by using the deep learning framework Caffe. Keywords—car model, dataset, Gcars, car verification
Statistical Models for High Frequency Security Prices

This article studies two extensions of the compound Poisson process with iid Gaussian innovations which are able to characterize important features of high frequency security prices. The first model explicitly accounts for the presence of the bid/ask spread encountered in price-driven markets. This model can be viewed as a mixture of the compound Poisson process model by Press and the bid/ask bounce model by Roll. The second model generalizes the compound Poisson process to allow for an arbitrary dependence structure in its innovations so as to account for more complicated types of market microstructure. Based on the characteristic function, we analyze the static and dynamic properties of the price process in detail. Comparison with actual high frequency data suggests that the proposed models are sufficiently flexible to capture a number of salient features of financial return data including a skewed and fat tailed marginal distribution, serial correlation at high frequency, time variation in market activity both at high and low frequency. The current framework also allows for a detailed investigation of the ``market-microstructure-induced bias'' in the realized variance measure and we find that, for realistic parameter values, this bias can be substantial. We analyze the impact of the sampling frequency on the bias and find that for non-constant trade intensity, ``business'' time sampling maximizes the bias but achieves the lowest overall MSE
A web- and mobile phone-based obesity prevention intervention in 4-year-olds : a population-based randomized controlled trial

Background: Childhood overweight and obesity has increased significantly over the past two decades. Many well-conducted obesity prevention trials have been conducted in pre-school aged children but the majority have not been able to show changes in obesity related markers. These trials have used traditional face-to-face methods to conduct the interventions, which are expensive and difficult to scale up. Therefore, new dissemination methods for intervention studies such as mobile health (mHealth) should be explored. Aims: The overall aim of this thesis was to determine whether a mHealth intervention targeted towards parents could improve obesity markers in pre-school aged children. Paper I: To outline the study design and methodologies utilized in the MINISTOP trial. Paper II: To evaluate the validity of reported energy and food intake assessed using the mobile based Tool for Energy Balance in Children (TECH) against total energy expenditure (TEE) and 24hr dietary recalls, respectively. Paper III: To evaluate the capacity of the wrist-worn ActiGraph wGT3x-BT accelerometer to capture variations in free-living activity energy expenditure (AEE) and to assess wear compliance of the ActiGraph using a seven day 24hr protocol. Paper IV: To assess the effectiveness of the MINISTOP intervention on body composition, intakes of fruits, vegetables, candy, and sweetened beverages, as well as the amount of time spent sedentary and in moderate-to-vigorous physical activity after the 6-month intervention. Paper V: To investigate if the MINISTOP intervention 12-months after baseline improved fat mass index (FMI) and had a maintained effect on a composite score (made up of FMI as well as dietary and physical activity variables).
Computational Model of the Cochlea using Resonance Analysis

This paper presents the development of a computational model of the cochlea using a new solution by resonance analysis to the models of uid mechanics in the cochlea and the basilar membrane as a system of forced harmonic oscillators proposed by Lesser and Berkeley. The computational model of resonance analysis is successfully compared with the method of numerical integration developed by Peterson and Bogert, the method of Green function proposed by Allen, the method of nite dierence described by Neely and the measurements obtained in the experiments of B ek esy, getting the same results with the new solution developed. Its contribution regarding the dierent solutions already found in the literature is to obtain a frequencydistance function to identify the maximum amplitude of displacement of each section along the basilar membrane for each specic excitation frequency in the hearing system. The model developed presents the advantage over the previous solutions, that the function obtained depends only of the physical characteristics of mass per unit area, damping coecient and stiness per unit area along the basilar membrane, and is the rst time that the resonance analysis is used to obtain a methodology consistent with the place theory of hearing of B ek esy.
Organizing: how to study it and how to write about it

Purpose – The purpose of this paper is to review emerging approaches to field studies of organizing that aim to avoid the problems of traditional methods and techniques.Design/methodology/approach – The paper is based in pragmatist philosophy and constructionist perspective. Within this frame, the paper starts with a brief history of fieldwork methods in organization study, continues by diagnosing their shortcomings in the light of contemporary developments, and ends by reviewing promising approaches to studying contemporary organizations.Findings – Young researchers are warned about possible risks and gains from experimenting with new methods.Originality/value – The potential value of the paper is in its function of a guide for organization scholars looking for innovative approaches to their study object.
Dark energy equation of state and anthropic selection

We explore the possibility that the dark energy is due to a potential of a scalar field and that the magnitude and the slope of this potential in our part of the universe are largely determined by anthropic selection effects. We find that, in some models, the most probable values of the slope are very small, implying that the dark energy density stays constant to very high accuracy throughout cosmological evolution. In other models, however, the most probable values of the slope are such that the slow roll condition is only marginally satisfied, leading to a re-collapse of the local universe on a time-scale comparable to the lifetime of the sun. In the latter case, the effective equation of state varies appreciably with the redshift, leading to a number of testable predictions.
DISCOURSE OF DESIGN AND ART EDUCATION

Although design has its roots in arts education, in the context of economic crisis and the need to develop Creative Industries in Latvia, it was decided to re-profile 100 professional art teachers to design teachers in 2008. During 2009-2010 the new and innovative professional development continuing education training program for design teachers was developed where pedagogy was taught with diverse content and methods of design. The program was implemented in 2010/2011 as the first professional development design teachers’ program in the Baltic’s and Europe. This study discusses the development and implementation process of the first professional continuing education teachers’ training program in design pedagogy, analyzes it in the context of education programs of children's art schools, and examines the benefits and shortcomings of the program from the point of view of 100 design ambassadors – newly-born design teachers. The study reflects broader outputs of the design teachers’ educational program in the context of local communities and municipalities. Research results show correlation between art and design education at an early stage of children's arts and design learning.
Does Government Size Affect Per‐Capita Income Growth? A Hierarchical Meta‐Regression Analysis

We conduct a hierarchical meta-regression analysis to review 87 empirical studies that report 769 estimates for the effects of government size on economic growth. We follow best-practice recommendations for meta-analysis of economics research, and address issues of publication selection bias and heterogeneity. When size is measured as the ratio of total government expenditures to GDP, the partial correlation between government size and per-capita GDP growth is negative in developed countries, but insignificant in developing countries. When size is measured as the ratio of consumption expenditures to GDP, the partial correlation is negative in both developed and developing countries, but the effect in developing countries is less adverse. We also report that government size is associated with less adverse effects when primary studies control for endogeneity and are published in journals and more recently, but it is associated with more adverse effects when primary studies use cross-section data. Our findings indicate that the relationship between government size and per-capita GDP growth is context-specific and likely to be biased due to endogeneity between the level of per-capita income and government expenditures.
Climate Change and Economic Development in Sub-Saharan African Countries: A Panel Econometric Approach

This paper attempts to empirically investigate the impact of climate change on economic development in Sub-Saharan African countries. It is a simple linear panel model using three estimation techniques, fixed effect, random effects and Maximum likelihood method. The Hausman test was also conducted to choose the most appropriate technique. In all, the paper finds that climate change impacts positively on the economic development in the region. The paper further recommends more adaptation as against mitigation measures, as many SSA countries already have some forms of indigenous adaptation measures which are relatively more manageable and less costly technological options in dealing with climate change. KEY WORDS: Climate, economic development, Africa
Environmental Stress Strategies for Stimulating Lipid Production from Microalgae for Biodiesel

미세조류는 통상적인 에너지 작물에 비하여 빠른 성장속도와 높은 오일함량으로 바이오디젤 생산의 원료로 관심을 받고 있다. 미세조류의 지질은 주로 트리글리세라이드인 중성지방으로 에스테르교환반응을 통하여 바이오디젤인 지방산 메틸에스테르로 전환할 수 있다. 본 논문에서는 영양분의 제한, 염도 및 금속 성분의 변화와 같이 미세조류의 지질 생산을 촉진할 수 있는 배양환경 스트레스 조건의 영향들을 비교 고찰하였다. 사용하는 미세조류 종에 따라 스트레스에 대응하여 지질의 양이 변하거나 구성하는 지방산의 조성이 변화될 수 있다. 비록 질소원 제한 조건이 가장 많이 사용되는 지질생산 촉진조건이긴 하지만, 미세조류로부터 바이오디젤 생산성의 향상을 위해서는 그 외에도 영양분 과잉 조건, 염도의 변화, pH, 온도, 금속 성분 농도 변화 등의 다른 조건들도 고려되어야 한다. 【Microalgae are a promising alternative feedstock for biodiesel production because their growth rates and oil contents are higher than those of conventional energy crops. Microalgal lipid is mainly triacylglyceride that can be converted to biodiesel as fatty acid methyl esters through trans-esterification. In this paper, the influence of several important lipid inducing factors such as nutrient limitation and changes in salinity and metallic components in microalgae and their potential strategies to be used for biodiesel production are reviewed. Depending upon strains/species that we use, microalgae react to stresses by producing different amount of triacylglyceride and/or by altering their fatty acids composition. Although the most widely applied method is the nitrogen starvation, other potential factors, including nutrient surplus conditions and changes in salinity, pH, temperature and metal concentrations, should be considered to increase biodiesel productivity. 】
A NOVEL BIOSENSOR FOR ACETAMINOPHEN DETECTION WITH ROMANIAN CLAYS AND CONDUCTIVE POLYMERIC FILMS

The development of a biosensor based on the immobilization of horseradish peroxidase (HRP) within a Romanian clay-polyetilenimine film at glassy carbon electrodes (GCEs) surfaces for acetaminophen detection is described. HRP was immobilized on the surface of the GCE with polyethyleneimine (PEI) in clay nanoporous film, a technique that offers good entrapping and a protective environment for the biocomponent due to the hydration properties of the immobilization layer. The amperometric detection of acetaminophen was successfully achieved with a sensitivity of 6.28·10 -7 M and a linear range between 5.25·10 -6 M and 4.95·10 -5 M.
3D Printing for Tissue Engineering Applications

The goal of tissue engineering is to create functional tissues and organs for regenerative therapies, and total organ transplantation. Bioprinting tissues are one of the most attractive approaches for tissue engineering and regenerative medicine fields. Fabrication of a complex structure via bioprinting requires layer-by-layer fabrication strategy. Bioprinting is mainly based on three processes; imaging and computer aided the design of the tissue that we wanted to print, the production of bio-ink with the selection of proper substances, the choice of a proper bioprinter depending on the product that we want, for fabrication of scaffold and/or tissues. In recent years the 3D bioprinting technology has been developed and several approaches appear by the researchers. The approaches are biomimicry, autonomous self-assembly and mini-tissue building blocks. In this study, current and future potential applications of 3D printing for the tissue engineering and regenerative medicine will be discussed.