Miracle-dz/UniFAR-FTUs huggingface dataset:
A Single Band Antenna Design for Future Millimeter Wave Wireless Communication at 38 GHz

Abstract In this proposed paper, a single band microstrip patch antenna for fifth generation (5G) wireless application was presented. 28, 38, 60 and 73 GHz frequency bands have been allocated for 5G mobile communications by International Telecommunications Union (ITU). In this paper, we proposed an antenna, which is suitable for the millimeter wave frequency. The single band antenna consists of new slot loaded on the radiating patch with the 50 ohms microstrip line feeding used. This single band antenna was simulated on a FR4 dielectric substrate have relative permittivity 4.4, loss tangent 0.02, and height 1.6 mm. The antenna was simulated by Electromagnetic simulation, computer software technology High Frequency Structural Simulator. And simulated result on return loss, VSWR, radiation pattern and 3D gain was presented. The parameters of the results well coherent and proved the literature for millimeter wave 5G wireless application at 38 GHz.
THE USE OF E-PORTFOLIO TO DEVELOP ENGLISH LANGUAGE LEARNERS' AUTONOMY AND INDEPENDENCE

This paper discusses the findings of a research study concerning the use of e-portfolios to develop learners' autonomy and independence, from the perspectives of teachers and students participating in this study. The findings demonstrate many of the benefits of e-portfolio practice regarding learners’ increased sense of ownership, teacher and peer feedback, enriched learning experience at both individual and technological levels, enhanced opportunity for self-improvement and increased awareness of the learning process. Despite many positive aspects of e-portfolios use, the study reveals some challenges facing students, teachers and support staff, mainly connected with technical problems and Internet access, and the necessity for teachers and learners to change their roles to become more independent in the learning process. The author concludes that e-portfolio is a promising tool to stimulate and challenge students to become independent and self-regulated learners that should be implemented in English language learning at higher educational institutions.
Nursery Culture Performance of Litopenaeus vannamei with Probiotics Addition and Different C/N Ratio Under Laboratory Condition

Application of bioflocs technology and probiotics has improved water quality and production of Pacific white shrimp ( Litopenaeus vannamei ) culture. This experiment was to verify the effect of probiotic bacteria addition and different carbon:nitrogen (C:N) ratio on water quality and performance of Pacific white shrimp nursery culture. Nursery culture was carried out for 25 days in an aquarium under laboratory condition with stock density of one Post-Larvae (PL) (poslarval) per liter (24 PL/aquarium) of PL16 shrimp. Different C:N ratio resulted a significant difference on shrimp production performance. Treatment of 10 C:N ratio demonstrated the best shrimp growth (20.37 + 0.48% per day in weight and 6.05 + 0.41% per day in length), harvesting yield (1180 + 62 g/m 3 ) and feed efficiency (121 + 6%). There was however no significant difference observed between treatments in water quality.
In vitro organic matter disappearance of tanniferous browse using rumen liquid from goats ingesting grass versus browse

In vitro organic matter disappearance (IVOMD) of African browse species often indicates artificially low nutritive value due to the presence of condensed tannins (CT). Diet of the rumen liquor donor may change this if it contains CT. Leaves from 11 browse species were evaluated for their IVOMD of nitrogen, fibre fractions and CT concentrations. Crude protein (CP) ranged from 14% to 25%, whereas neutral detergent fibre (NDF) varied from 20% to 40%. The CT fractions differed (P ≤ 0.05) among the browse species with most CT either soluble or bound to protein. Acacia brevispica and Berchemia discolor had the greatest concentrations of total CT, whereas Balanites aegyptiaca and Prosopis juliflora had the least. Rumen liquid from goats on grass diet (no CT) or browsing species with CT resulted in differences in IVOMD of NDF (P ≤ 0.05); 37% less (P = 0.11) fibre-bound CT IVOMD resulted when rumen liquid donors consumed browse containing CT. This indicates that (1) during IVOMD assays, rumen fluid donor diets should reflect, as closely as possible, those of the target animals and their diets, and (2) rumen liquid donor diet composition, especially forage CT concentrations, should be documented when evaluating results of IVOMD trials that use rumen liquor donors consuming CT.
Correction: Role of Higher-Order Terms in Local Piston Theory

The use of second- and third-order classical piston theory [1] (CPT) is commonplace, with the role of the higher-order terms being well understood [2]. The advantages of local piston theory (LPT) relative to CPT have been demonstrated previously [3]. Typically, LPT has been used to perturb a mean-steady solution obtained from the Euler equations, and recently, from the Navier-Stokes equations [4]. The applications of LPT in the literature have been limited to first-order LPT [5–7]. The reasoning behind this has been that the dynamic linearization used assumes small perturbations. The present note clarifies the role of higher-order terms in LPT. It is shown that second-order LPT makes a non-zero contribution to the normal-force prediction, in contrast to second-order CPT.
The Release and Transport of Metals Arising from Gold Mining Tailings Storage Facilities in the Witwatersrand, South Africa

The evolution and transport of metals arising from active gold mining tailings storage facilities (TSFs) within the Witwatersrand Basin were assessed through a combination of analytical techniques and geochemical modelling. Sequential extractions were conducted to provide insight into the partitioning of metals in tailings. Speciation and solubility geochemical modelling of water samples indicated the controlling minerals of interest in the tailings. Combining these two approaches allowed for the transformation of metals and their subsequent attenuation to be better understood. Keywords sequential extractions, geochemical modeling, metals
The growth dynamics of Douglas fir in Sweden and Finland

Little research has yet been conducted on the growth of Douglas fir (Pseudotsuga menziesii (Mirbel) Franco var. menziesii) in Sweden albeit its potentials as a commercial tree species in the future. Therefore, this study aimed at capturing currently available field and reference data for the purpose of evaluation. Another objective of this study was to predict the growth dynamics of Douglas fir in Sweden and Finland using the 3-PG stand growth model presented by Landsberg & Waring (2003). In order to test the validity of the simulated outcomes, the predictions were tested against the available field data. The findings showed that already in 1961, Karlberg (1961) made the attempt to gather available information on the growth of Douglas fir and created yield tables for height, DBH and volume development with the data he had found. Despite his extensive data collection from 187 field plots in southern Sweden and Denmark, there was a significant disagreement of volume increment compared to more recent measurements by SLU. The few available research plots managed by SLU indicate a low volume increment in the early years of the stand but pick up a fast growth rate at a later stand age. The Karlberg data (Karlberg, 1961) on the other hand, tends to increase strongly in the first 50 years but then levels out. The 3-PG stand growth model performed reasonably well for height and DBH predictions in comparison to the field data. Yet again, volume predictions were less successful to match the field data curves. A model validation calculating the mean average deviation (MAD) of the predicted from the field data showed a deviation from height in the range of 5.7 and 23%, from DBH in the range of 1.7 and 24.8%, and from volume between 25.5 and 103.4%, using 3-PG Version 1.0 or 2.7 and either a fertility rating of 0.5 or 0.8, respectively. The outcomes demonstrate that the application of the 3-PG stand growth model for simulating growth of an exotic tree species in Scandinavia is feasible with limitations. Special care should be laid on the calibration of species- and site-specific parameters.
Energy Optimal Operation of Hybrid Battery Systems and Comparison to a Single-Cell Reference System for Electric Vehicles Including the Aged State of High Energy Cells

In battery electric vehicles the battery system has to satisfy demanding requirements. On the one hand, high power capabilility has to be provided for varying states of charge and temperature. On the other hand, the battery system should achieve a maximum service life, optimal energy efficiency and a high overall driving range. This paper compares a conventional single-cell battery system with two hybrid battery system topologies that aim at improving the mentioned aspects of the conventional system. The hybrid battery systems each comprise two battery parts connected via a dc-to-dc converter, one part including lithium-ion battery cells optimized for high energy density and the other part equipped with high power density type lithium-ion cells. An optimal control problem is formulated and solved with Dynamic Programming. The mentioned topologies are then compared in terms of energy efficiency, power capability and current distribution. A real life driving cycle power demand is used for this comparison. It can be shown that the hybrid battery system reduces the occurrence of high current rates on the high energy battery part and shows better energy efficiency when operated with aged high energy battery cells. Furthermore the hybrid battery system’s potential to obtain a high power capability in low state of charge regions is shown.
Life-Cycle Portfolio Allocation When Disasters are Possible

JEL classifications: D91, E21, G11 In contrast to the predictions of life-cycle models with homothetic utility and risky labor income, the majority of US households do not hold any wealth in the stock market. Even among stockholders, the equity share out of net worth is modest. I develop a life-cycle model in which there are rare disasters, calibrated to match the joint empirical distribution of stock market crashes and macroeconomic contractions. The model provides an explanation for the low portfolio share in equity. About half of the decrease in stock holdings can be attributed to the correlation between stock market crashes and depressions. Furthermore, a 6% perceived probability of disaster is sufficient to deter the median household from investing in stocks during its working life. Small differences in expectations lead to dramatically different portfolios, consistent with the heterogeneity of asset allocation in data.
Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case

We study sparse solutions of optimal control problems governed by PDEs with uncertain coefficients. We propose two formulations, one where the solution is a deterministic control optimizing the mean objective, and a formulation aiming at stochastic controls that share the same sparsity structure. In both formulations, regions where the controls do not vanish can be interpreted as optimal locations for placing control devices. In this paper, we focus on linear PDEs with linearly entering uncertain parameters. Under these assumptions, the deterministic formulation reduces to a problem with known structure, and thus we mainly focus on the stochastic control formulation. Here, shared sparsity is achieved by incorporating the $L^1$-norm of the mean of the pointwise squared controls in the objective. We reformulate the problem using a norm reweighting function that is defined over physical space only and thus helps to avoid approximation of the random space using samples or quadrature. We show that a fixed point algorithm applied to the norm reweighting formulation leads to a variant of the well-studied iterative reweighted least squares (IRLS) algorithm, and we propose a novel preconditioned Newton-conjugate gradient method to speed up the IRLS algorithm. We combine our algorithms with low-rank operator approximations, for which we provide estimates of the truncation error. We carefully examine the computational complexity of the resulting algorithms. The sparsity structure of the optimal controls and the performance of the solution algorithms are studied numerically using control problems governed by the Laplace and Helmholtz equations. In these experiments the Newton variant clearly outperforms the IRLS method.
Utilization of Smartphone Literacy In Learning Process

The utilization of smartphones is increasingly developing among the students. It causes various modifications of attitude and behavior, that media literacy nowadays becomes highly important. Therefore, media literacy shall become the priority for related parties specifically parents and teachers. In addition to helping to find information and to conduct fast communication, smartphone is also functions in formal learning process among the students.The aim of this research is to acknowledge the utilization of smartphones in formal learning process. This study uses qualitative descriptive method which makes serious efforts in describing and depicting utilization of smartphones in learning process among Junior High School students in Bandung. The research result shows that smartphones may function as a device to channel messages and to stimulate the mind, feeling and desire of the students which may encourage learning process in them and to give positive values and to bridge media literacy among the students.
Population Mobility Dynamics Estimated from Mobile Telephony Data

Abstract In the last decade, mobile phones and mobile devices using mobile cellular telecommunication network connections have become ubiquitous. In several developed countries, the penetration of such devices has surpassed 100 percent. They facilitate communication and access to large quantities of data without the requirement of a fixed location or connection. Assuming mobile phones usually are in close proximity with the user, their cellular activities and locations are indicative of the user's activities and movements. As such, those cellular devices may be considered as a large scale distributed human activity sensing platform. This paper uses mobile operator telephony data to visualize the regional flows of people across the Republic of Ireland. In addition, the use of modified Markov chains for the ranking of significant regions of interest to mobile subscribers is investigated. Methodology is then presented which demonstrates how the ranking of significant regions of interest may be used to estimate national population, results of which are found to have strong correlation with census data.
Secure data in cloud with multimodal key generation

Data Security is the Major problem in Cloud Computing. In order to overcome the data security problem the proposed technique utilizes effective data storage using biometric-based cryptographic authentication to support the user authentication for the cloud environment. For user authentication here we are considering iris and fingerprint. Initially the feature values are extracted from the iris and fingerprint using local binary pattern and Minutiae extraction respectively. Local binary pattern operator works with the eight neighbors of a pixel, using the value of this center pixel as a threshold. Minutiae points are the major features of a fingerprint image and are used in the matching of fingerprints. These minutiae points are used to determine the uniqueness of a fingerprint image. Based on that the proposed feature values are extracted from the iris and fingerprint image. In order to improve the security, the suggested technique utilizes the optimal features. For selecting the optimal features hybrid particle swarm optimization and genetic algorithm (HPSOGA) is utilized. Particle swarm optimization (PSO) is a population based stochastic optimization technique. The system is initialized with a population of random solutions and searches for optima by updating generations. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. Genetic Algorithms (GAs) are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics. In our proposed method these two optimization algorithm is hybrid for more secure. From the optimization algorithm the suggested technique selects the optimal features. and then the optimal features are used to encrypt the input data. For encryption and decryption, the proposed technique utilizes Triple DES algorithm. Finally the encrypted data is stored in cloud. The performance of the proposed technique is evaluated in terms of encryption and decryption time, memory utilization and overall execution time. Our proposed data storage using biometric-based authentication is implemented with the help of Cloud simulator in the working platform of java.
Do Remittances Promote Household Savings? Evidence from Ethiopia

In many circumstances there are inadequate empirical analysis on the use and potential impact of international remittances in Ethiopia, particularly on household savings. The purpose of this paper is to analyze the impact of international remittances on the level of household savings relying on a micro-level household survey data coming from the second phase of Future of African Remittances: Ethiopian National Survey 2010. A total of 410 regular international remittances-recipient households are incorporated in the analysis. Both OLS and Tobit regression techniques are adopted for the empirical inquiry. The estimated result reveals that households with higher international remittances save more. However, rich households save a lesser portion of remittances they receive from their fellow migrants. The result also shows that international remittances are not only denote a significant share of households’ consumption expenditure, but also are sources of funds needed to boost investment spending through enhancing the level of household savings in Ethiopia. This paper therefore recommends that more has to be done in providing investment opportunities including financial products for remittances-recipient households to direct the money they receive in to productive investment. Keywords : Migration, International Remittances, Household Savings, Ethiopia JEL Classification: D14, F22, F24, H31
UNCOUPLE NONLINEAR MODELING OF SEISMIC SOIL-PILE-SUPERSTRUCTURE INTERACTION IN SOFT CLAY

This paper presents the numerical analysis of seismic soil-pile-superstructure interaction in soft clay using free-field soil analysis and beam on Winkler foundation approach. This model is developed to compute the nonlinear response of single piles under seismic loads, based on one-dimensional finite element formulation. The parameters of the proposed model are calibrated by fitting the experimental data of large- scale seismic soil-pile-structure tests which were conducted on shaking table in UC Berkeley. A comparative evaluation of single piles shows that the results obtained from the proposed procedure are in good agreement with the experimental results.
Developments in Business Simulation & Experiential Exercises

A model is developed for thinking about and researching the relative effectiveness of various pedagogies for teaching business policy. The model begins with the determination of course purpose. Specific learning objectives which support these purposes are then established. Determination of appropriate pedagogy stems directly from the course objectives. The actual choice of pedagogy is influenced by the physical and professional constraints of the larger system, the learning styles of both the instructor and the student, and the role behavior of the instructor. The model can be used to generate more focused research which will result in comparability between studies.
PREPARATION, CHARACTERIZATION, OPTIMIZATION, AND STABILITY STUDIES OF ACECLOFENAC PRONIOSOMES

The aim of this investigation was to prepare, characterize and optimize the aceclofenac proniosomes using central composite design and carry out stability studies. Three independent variables selected were molar ratio of drug to lipid (X1), surfactant loading (X2) and volume of hydration (X3). Based on central composite design, 16 batches of proniosomes were prepared by slurry method and evaluated for the percentage drug entrapment (PDE) and mean volume diameter (MVD). The PDE and MVD (dependent variables) and the transformed values of independent variables were subjected to multiple regressions to establish a second order polynomial equation. Contour plots were constructed to further elucidate the relationship between the independent and dependent variables. The conformity of the polynomial equations was checked by preparing three checkpoint batches. From the computer optimization process and contour plots, predicted levels of independent variables X1, X2, and X3 (-0.77, -0.8 and 0 respectively), for an optimum response of PDE with constraints on MVD were determined. The optimized batch was subjected to stability studies. The polynomial equations and contour plots developed using central composite design allowed us to prepare proniosomes with optimum responses. Proniosomes stored refrigerated and at room temperature, were both found to be stable.
Rapid Diagnosis by Microfluidic Techniques

Pathogenic bacteria in an aqueous or airborne environments usually cause infectious diseases in hospital or among the general public. One critical step in the successful treatment of the pathogen-caused infections is rapid diagnosis by identifying the causative microorganisms, which helps to provide early warning of the diseases. However, current standard identification based on cell culture and traditional molecular biotechniques often depends on costly or time-consuming detection methods and equipments, which are not suitable for point-of-care tests. Microfluidic-based technique has recently drawn lots of attention, due to the advantage that it has the potential of providing a faster, more sensitive, and higher-throughput identification of causative pathogens in an automatic manner by integrating micropumps and valves to control the liquid accurately inside the chips. In this chapter, microfluidic techniques for serodiagnosis of amebiasis, allergy, and rapid analysis of airborne bacteria are described. The microfluidic chips that integrate microcolumns, protein microarray, or a staggered herringbone mixer structure with sample to answer capability have been introduced and shown to be powerful in rapid diagnosis especially in medical fields.
Broadband array antennas using a self-complementary antenna array and dielectric slabs

It is well known that planar self-complementary structures have a constant input impedance and hence they are good candidates for ultra-wideband antennas. However, introduction of a ground plane breaks the symmetry and destroys the broadband property. In this paper, it is shown that stacking of dielectric slabs above the antenna elements can reduce the degrading eject of the ground plane. The dielectric slabs act as filters adding loops in the center of the Smith chart. The results are illustrated with infinite antenna arrays with broadside bandwidths of 4.7:1 at -13dB and of 5.5:1 at -17dB for the cases of two and three dielectric slabs, respectively.