Miracle-dz/UniFAR-FTUs huggingface dataset:
Accumulation Systems of Electric Energy Solved by Multicriteria Analysis Methods IPA and Topsis

This work deals with utilization of multicriteria analysis methods IPA and TOPSIS to assess three storage systems (Fuel Cells, Lead Acid Batteries and Pumped Storage Hydro Plants). Procedures of IPA and TOPSIS methods are described here as like as calculation of mentioned problem. Storage systems are assessed in terms of four criteria (Start up Time, Efficiency of Accumulation, Lifetime and Specific Costs/ kW of Power Output). Weights of criteria are also focused here. They are suggested by experts and statistically calculated.
Energy-aware stochastic scheduling model with precedence constraints on DVFS-enabled processors

The stochastic scheduling of precedence-const jobs on a heterogeneous processor is a challenging problem that requires solutions with one or more optimized QoS parameters. In this work, an energy-aware stochastic algorithm is proposed to schedule the batch of precedence-const jobs on heterogeneous DVFS-enabled processors with the objective of optimizing turnaround time and energy consumption. The processing time of tasks in all jobs and their precedence-const times are governed by independent probability distributions. The performance of the proposed stochastic algorithm is compared with SHEFT and ECS based on randomly generated batches of different sizes. The experimental study reveals that the proposed algorithm signicantly outperforms the SHEFT and ECS algorithms in terms of turnaround time and energy consumption.
Modeling water flow and nutrient losses (nitrogen, phosphorus) at a nested meso scale catchment, Germany

Eutrophication of stream water due to nutrient inputs has become a worldwide aquatic problem. Understanding nutrient transport processes and the relationship with hydrologic processes is important for water resource management and prediction of stream water quality under climate and land use change. In this study we used the integrated process-based hydrologic and water quality model HYPE (Hydrological Predictions for the Environment) to simulate water flow and stream water nutrient concentrations (nitrogen and phosphorus) at a meso scale nested catchment (Selke) in Germany. The hydrograph was represented well with NSCE of 0.84 and was characterized by high flow during winter due to snow melting and low flow in summer. The nitrogen seasonal dynamics was caught by the model which presented a proportional relationship to water flow. The simulated phosphorus concentrations were at the similar level as the measured values which were more constant compared to nitrogen across the year. The calculated nutrient loads were 8.92 kg IN/yr/ha and 0.162 kg TP/yr/ha at the Silberhuette subbasin, which are consistent with former findings at catchments with similar hydrological pattern and land use type. However, it has to be pointed out that sparse nutrient measurements are not sufficient to fully identify the model due to inability to evaluate model performance on representation of more detailed internal variability. In future work, available high resolution multiple hydrochemical data sets will be integrated for further model identification.
Tax compliance and loss aversion *

We study if taxpayers are loss averse when filing returns. Preliminary deficits might be viewed as losses assuming zero preliminary balances as reference points. Swedish taxpayers can to try to escape such losses by claiming deductions after receiving information about the preliminary balance. Using a regression kink and discontinuity approach, we study data for 3.6 million Swedish taxpayers for 2006. There are strong causal effects of preliminary tax deficits on the probability of claiming deductions. Compliance will increase and auditing costs will be reduced if preliminary taxes are calibrated so that most tax payers receive refunds.
Patterns of Inclusive Growth in Developing Asia: Insights from an Enhanced Growth-Poverty Elasticity Analysis

The primary objective of this research is to identify key factors that explain the observed wide variation in patterns of inclusiveness of economic growthâ€”defined here as gross domestic product (GDP) growth that leads to significant poverty reductionâ€”in Asia. In exploring this relationship, this study goes beyond defining poverty by the income or expenditure yardstick alone, but examines a more holistic measure of poverty that considers its multidimensional nature. [ADBI Working Paper 145]
DESIGNING AN INEXPENSIVE RF SIGNAL ANALYSIS TOOL FOR TRANSMITTERS

Existing on-nick sources, for example power or envelope detectors or small additional circuitry, can be used as BiST purposes. Built-in self-test (BiST) for transmitters is really a desirable choice because it eliminates the reliance upon costly instrumentation to do radio-frequency signal analysis. We derive analytical expressions for that output signal in straight line and nonlinear modes. However, because of limited bandwidth, measurement of complex specifications, for example in-phase and quadrature (IQ) imbalance, and third-order intermediation intercept point (IIP3) is challenging. Since IQ imbalances are most amenable for digital compensation, their portrayal and monitoring are desirable. Within this paper, we advise a multistep BiST way of transmitter IQ imbalance and nonlinearity utilizing a self mixing envelope detector. Using straight line mode expression, we devise test signals to isolate the results of gain and phase imbalances, electricity offsets, and time skews using their company parameters from the system in low-power mode. Simulations and hardware measurements reveal that the process can offer accurate portrayal from the path. Once isolated, these parameters are calculated easily having a couple of mathematical operations. Within the next step, utilizing a greater power test signal, the nonlinear behavior from the transmitter is happy and also the IIP3 from the transmitter is computed in line with the analytical expressions.
THE EFFECT OF AEROBİC EXERCİSE ON HS-CRP AND BODY COMPOSİTİON İNDEXES İN NON-ACTİVE OBESE MEN WİTH EMPHASİS ON RAMADAN FASTİNG

ABSTRACT Introduction: Purpose of the study was to evaluate the effect of aerobic exercise and Ramadan fasting on the high-sensitivity C-reactive protein as a marker of inflammation in non-active obese men. Methods and Materials: In this study, 18 obese men aged 50-40with a BMI over 30 kg per square meter as a public call among the 70 subjects were selected randomly and after it were divided in to fasting (N=9) and fasting and exercise (N=9) groups. Then while the first group would do only fasting, fasting and exercise group in addition to the intervention fasting group, exercise to be carried out in 27 sessions. Also, for check the desired changes in the month of Ramadan, blood samples were taken from four different times. Finally, using repeated measures analysis of variance in the level of p <0/05 theories were put to the test. Results: Ramadan fasting significantly decreased the high-sensitivity C-reactive protein (p < 0.05) as well as aerobic exercise significantly were reduced high-sensitivity C-reactive protein (p < 0.05) in both groups. Conclusion: aerobic exercise and Ramadan fasting has a beneficial effect on the reduction of low-grade inflammation.
Body Compositions and Fatty Acid Profile of Salmo Trutta Macrostigma Caught from Korkun Brook

In this study, the body composition and fatty acid profiles of Salmo trutta macrostigma living under natural conditions in Anatolia were analyzed. The total crude protein, lipid, ash, dry matter and fatty acid profile of fish meat were determined. Crude protein, lipid, ash and moisture of Salmo trutta macrostigma were 19.92%, 3.461%, 1.18% and 75.11% respectively. The predominant fatty acids found in Salmo trutta macrostigma muscle were myristic acid (C14:0, 2.23), palmitic acid (C16:0; 18.81%), palmitoleic acid (C16:1, 8.82%), stearic acid (C18:0; 4.11%), oleic acid (C18:1 n9; 11.93%), linoleic acid (C18:2n6, 3,72%), linolenic acid (C18:3n3, 9.27%), eicosapentaenoic acid (EPA; C20:5 n3; 7.48%) and docosahexaenoic acid (DHA; C22:6n3; 7.69%). The Fatty acid composition analyses showed that wild Salmo trutta macrostigma consisted of 29.17% saturated (SFA), 21.58% monounsaturated (MUFAs) and, 31.21% polyunsaturated acids (PUFAs).
DYNAMIC SOURCE ROUTING-AN ONDEMAND ROUTING PROTOCOL IN MOBILE ADHOC NETWORKS

A mobile ad-hoc network is a group of wireless devices that communicate with each other without utilising any central management infrastructure. An ad-hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any pre-existing network infrastructure or centralized administration. An ad-hoc network uses different protocols for routing. Dynamic source routing is an on-demand routing protocol in MANETs. This paper discusses the advantages and disadvantages of DSR and generalizes the lessons learned from DSR so that they can be applied to the many other new routing protocols and techniques that have adopted the basic DSR framework.
Domestic R&D, Foreign Direct Investment and Welfare

This paper provides a new rationale to examine the two-way relationship between domestic research and development (R&D) and foreign direct investment (FDI), as well as their impacts on domestic welfare. Our analysis is based on the strategic interaction in cost-reducing investment decisions between domestic firms and a foreign firm, which is different from the common factors that are discussed in the literature such as spillovers and technology sourcing. Our results are as follows. We show that domestic R&D investment may either increase or decrease the foreign firm's FDI incentives. Further, depending on the marginal cost of domestic firms, domestic R&D incentives can always increase regardless of the effects of domestic R&D investment on the foreign firm's FDI decision. Finally, we find that domestic welfare improves under domestic cost reduction if the slope of the marginal cost of domestic R&D investment is sufficiently small.
Utilization of Google Tools and Social Network Websites to Improve Performance of Search Engine Marketing (SEM)

Market the products in the Internet world is not an easy thing. It requires knowledge and efforts to introduce these products to consumers. Thus, marketing methods in such environment are different than offline marketing. One marketing method that can be used in the Internet is by using technology that allows the web page can be found more easily by search engines. This mechanism thereby will increase the traffic to the web page, thus increasing customer knowledge on the products. Another opportunity to market products is by posting the products on social network websites such as Facebook and Twitter. In order to see the impact of both Google Tools and social network websites to the web visit, we develop two websites. The first website is a normal website without any customization, and the second one is the customized website where we put some Google Tools and social network websites in it. The overall results prove that Google Tools helps in increasing the website rank in the search engine and social network websites provide a good mechanism in attracting users to visit a website.
MYCOFLORA ASSOCIATED WITH SUGAR CANE JUICE IN KARACHI CITY

The study was conducted for investigating the quality of 28 sugar cane juice samples collected from different localities of Karachi. pH value of sugarcane juice samples with lemon ranged from 4.60-6.56, whereas the sugarcane juice samples without lemon ranged from 5.0-6.85. Mycoflora of samples was studied by using direct plate and serial dilution techniques. Twenty eight samples of sugarcane juice with and without lemon were tested and 18 different species belonging to 11 different genera of fungi isolated by direct plating method were Absidia corymbifera, Acremonium sp. , Aspergillus flavus, A. fumigatus, A. niger, A. sulphureus, A. terreus, A. wentii, Fusarium semitectum, F. sporotrichoides, Humicola grisea, Gilmanieila humicola, Curvularia lunata, Monilia sp. , Rhizopus stolonifer, R. oryzae, Penicillium sp. , and yeast (Saccharomyces spp.) whereas Aspergillus candidus, A. subolivaceous, A. erythrocephalus and A. tamarii were isolated in addition to these by serial dilution techniques. The highest number of fungi were isolated by serial dilution technique and A. niger appeared as a dominant fungus of sugarcane juice with and without lemon by both of the techniques. The addition of lemon juice reduced the occurrence of A. corymbifera, C. lunata and A. erythrocephalus by serial dilution technique.
A mortar finite element approach for point, line, and surface contact

An approach for investigating finite deformation contact problems with frictional effects with a special emphasis on nonsmooth geometries such as sharp corners and edges is proposed in this contribution. The contact conditions are separately enforced for point contact, line contact, and surface contact by employing 3 different sets of Lagrange multipliers and, as far as possible, a variationally consistent discretization approach based on mortar finite element methods. The discrete unknowns due to the Lagrange multiplier approach are eliminated from the system of equations by employing so‐called dual or biorthogonal shape functions. For the combined algorithm, no transition parameters are required, and the decision between point contact, line contact, and surface contact is implicitly made by the variationally consistent framework. The algorithm is supported by a penalty regularization for the special scenario of nonparallel edge‐to‐edge contact. The robustness and applicability of the proposed algorithms are demonstrated with several numerical examples.
Determination of Optical Properties of Thin Films from Ketteler-Helmholtz Dispersion Relations: Application to the Case of Ultraviolet Irradiated Zirconium Oxide

A new method based on the Ketteler-Helmholtz dispersion relations is described. This method allows accurately determining the optical properties of thin films from a single transmittance curve. The case of zirconium oxide thin film postdeposition irradiated with ultraviolet light is analysed. The effect of ultraviolet irradiation is compared with low temperature postdeposition heating. It is shown that both processes have a comparable effect on the optical properties of the films. However, as our analysis leads to inferring that ultraviolet irradiation produces smoother film surfaces, the use of ultraviolet irradiation is an interesting alternative to the heating process. Accordingly, the reduction of light scattering from the interface with air provides films of better optical quality, which is especially valuable in case of multilayer systems.
Improved Magnetotelluric Zohdy-Oldenburg Direct Inversion

Based on researches of Baiyao (1995) and Zhang and Xu (2001), this paper proposes an improved 2D MT Zohdy-Oldenburg direct inversion method, in the least-square sense, embodying the features of Zohdy’s ratio method and Oldenburg’s difference method, in the condition of rugged topography, with phase information. It bypasses large calculations of the Jacobian matrix and large sparse linear systems of equations and enables direct modifications and comparisons of the model parameters. According to the calculation and analysis of examples, it shows faster convergence and higher precision. In contrast with the conventional linear inversion, the calculation speed of this new method can be increased by more than 10 times.
Leadership learning for complex organizations

Abstract Many school leadership programs are set and delivered in specific modules or workshops in order to achieve a pre-determined set of competencies, knowledge, and skills. In addition, these programs are driven by the faculty member and the prescribed content. As Singapore schools become more complex in the roles and responsibilities to educate the future of the nation, new ways to develop school leaders is needed. This study investigates the effects on leadership learning based on a complexity theory-based design leadership program. The learning outcome emerged as practical leadership knowledge that participants generated as they actively participate in the leadership program. A serious implication of complexity-based design would mean shifting from an “objective and course-driven” learning to “learning that emerged and process-driven. ”
Generalized additive models for location, scale and shape

Summary. A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be selected from a very general family of distributions including highly skew or kurtotic continuous and discrete distributions. The systematic part of the model is expanded to allow modelling not only of the mean (or location) but also of the other parameters of the distribution of y, as parametric and/or additive nonparametric (smooth) functions of explanatory variables and/or random‐effects terms. Maximum (penalized) likelihood estimation is used to fit the (non)parametric models. A Newton–Raphson or Fisher scoring algorithm is used to maximize the (penalized) likelihood. The additive terms in the model are fitted by using a backfitting algorithm. Censored data are easily incorporated into the framework. Five data sets from different fields of application are analysed to emphasize the generality of the GAMLSS class of models.
Dynamic analysis of localized defects in rolling bearing systems

In this paper, the dynamics of rolling bearing with localized defects of the outer ring and rolling element are investigated. In order to study the nonlinear dynamical behaviors of the rolling bearing precisely, a novel dynamic model of the rolling bearing is established based on the Lagrangian approach. By setting 0.2 mm, 0.4 mm and 0.6 mm local defects on the outer ring and rolling element of bearing respectively, the results demonstrate that the amplitude of the rolling bearing is more intense as the local defect size increases, and the acceleration amplitude fluctuation is more significant than the velocity. In addition, in the case of the same defect size, the vibration of the rolling element defect is more intense than the vibration response caused by the outer ring defect.
Role of Translation Initiation in Regulation of Epithelial Junctions and Cell Motility

xi 1. INTROUDICTION.01 1.1. Role of Intracellular Junctions.01 1.2. Molecular Compositions of Epithelial Junctions.03 1.2.1 Tight Junction.03 1.2.2 Adherens Junction.05 1.3. Basic Mechanism of Cell Motility.07 1.4. Mechanism of Eukaryotic Translation.10 1.4. 1 Eukaryotic Translation Initiation Step.10 1.4. 2 Importance of eIF4G Family in Translation Initiation Mechanism.13 1.5. Why we study the role of Translation Initiation in Regulation of the Epithelial Junctions and Cell Motility.15 1.6. Specific Aims.16 2. MATERIALS AND METHODS.17 2.1. Cell Culture.17 2.2. Total Cell Lysates.18 2.3. Western Blotting/Immunoblotting.18 2.4. siRNA–mediated protein knockdown.19 2.5. Generation of stable cell lines with small harpin (sh)RNA-mediated Eif4G1 and Eif4G2 knockout.19 2.6. Antibodies and other reagents.19 2.7. Immunofluorescence labelling and confocal microscopy.20
In Vitro and In Vivo Enhancement of Antitumoral Activity of Liposomal Antisense Oligonucleotides by Cineole as a Chemical Penetration Enhancer

Cellular uptake and cytoplasmic release of liposomal antisense oligonucleotides (AsODNs), which can act as rate-limiting steps, are still remained to be completely optimized. Here, the possibility of enhancing such processes at cellular and animal levels by cineole, as a penetration enhancer, was investigated. A cationic nanoliposome containing an AsODN against PKC-α and a cineole-containing nanoliposome were prepared and characterized. The effect of nanoliposomal cineole on sequence-specific cytotoxicity of nanoliposomal AsODN against A549, was studied in vitro (MTT, flow cytometry, fluorescence microscopy, and real time PCR) and in vivo (xenograft lung tumor in nude mice) using different concentrations and treatment times. Results showed specific cytotoxicity of nanoliposomal AsODN was increased significantly from 11% to 25% when A549 cells were exposed to 10 µg/mL cineole for 1 or 4 hours. This inhibitory effect was further increased to about 40% when the concentration was increased to 40 µg/mL for 1 hour. In animal studies, cineole significantly decreased the tumor volume (about 75%) and increased its doubling time from 13 days to 31 days. A linear relationship exists between cineole concentration and its enhancement effects. Finally it was concluded that cineole, and possibly other membrane fluidizers, can improve nanoliposomal gene therapy at cellular and animal levels.
AERODYNAMIC CONFIGURATION DESIGN OF AIRCRAFT USING MULTI-OBJECTIVE GENETIC ALGORITHM

A numerical procedure for the aerodynamic configuration design of aircraft based on genetic algorithms, with single-point, multipoint and multi-objective optimization capabilities, is presented. Optimization process is executed based on a light fighter, which is composed of wing, body and horizontal tail. The geometry and relative position of three parts, wing, body and horizontal tail, are chosen as the design variables. The objective is to acquire the maximum lift-to-drag ratio under the given constraints. Three single-point designs in the subsonic, transonic and supersonic region have been first addressed. Then multi-point designs are taken under transonic and supersonic cases with three different weighted factors. Lastly, the pareto front of optimization design is obtained using multi-objective pareto genetic algorithms, and the designed results are shown under the same design condition as multi-point. A comparison between the results obtained in three ways is established, showing the effectiveness of multiobjective optimization used to deal with aerodynamic configuration design.
Selection of optimal features for digital modulation recognition

The paper proposes a new method for the classification of commonly used digital modulations. The method uses previously reported features such as instantaneous amplitude, instantaneous phase and spectrum symmetry beside a set of new features from both spectral and time domain. A classifier based on Gaussian mixture models was used to analyze the features and classify the modulations. ASK, FSK, MSK, BPSK, QPSK, PSK, FSK4 and QAM-16 were chosen for the classification as the best-known digital modulations used in modern communication technologies.
Local Seed Markets and the Determinants of Crop Variety Diversity in Marginal Environments: The Case of Millet in Semi-Arid India

The purpose of the research paper is to characterize biological diversity related to millets in the semi-arid regions of India at various spatial scales of analysis (e.g., farm household versus community levels) and place that evidence in a broader seed systems (includes both formal and informal) context. An important finding of this research is that producer access to millet genetic resources is affected by the extent to which seed is traded via formal markets or through other social institutions, along with farm and household characteristics. Findings also underscore the need for an enhanced theoretical understanding of local seed markets in analyzing crop variety choices and the diversity of materials grown in less favored environments.