Miracle-dz/UniFAR-FTUs huggingface dataset:
Computation of the network harmonic impedance with Chirp-Z transform

An innovative technique for power system harmonic impedance computation is presented in the paper. We present a brief introduction to harmonic impedance estimation problems as well as a detailed description of the proposed method. Frequency analysis with DFT is strongly affected by frequency leakage and picket fence errors. A number of methods was developed to reduce the impact of these phenomena including hardware solutions like PLL-based sampling synchronization, or software solutions like timeor frequency interpolation. Our work presented in the paper concerns new software-based method for reducing frequency leakage and picket fence errors and an application of this method of power system harmonic impedance estimation. The proposed method of harmonic impedance computation is based on Chirp-Z transform (CZT) instead of discrete Fourier transform (DFT). CZT enables arbitrary sampling of the frequency axis when computing spectra of discrete signals. We apply CZT to fundamental frequency estimation and for evaluating voltage and current frequency bins for higher harmonics. The spectral leakage is reduced by a standard Hanning window. The accuracy of the proposed method was verified by laboratory experiments and compared with the results of DFTbased computation. The proposed method is robust against non-synchronous sampling, thus it is dedicated for widely used data acquisition systems with a fixed sampling frequency. The proposed method is more accurate then DFT-based computations in case of voltage and current signals sampled at a fixed frequency. The advantages of the proposed method are evident for signals with off-nominal frequencies especially for higher harmonics.
Hybrid Ant Colony Optimization-Genetics Algorithm to Minimize Makespan Flow Shop Scheduling

Flow shop scheduling is a scheduling model in which the job to be processed entirely flows in the same product direction / path. In other words, jobs have routing work together. Scheduling problems often arise if there is n jobs to be processed on the machine m, which must be specified which must be done first and how to allocate jobs on the machine to obtain a scheduled production process. In research of Zini, H and ElBernoussi, S. (2016) NEH Heuristic and Stochastic Greedy Heuristic (SG) algorithms. This paper presents modified harmony search (HS) for flow shop scheduling problems with the aim of minimizing the maximum completion time of all jobs (makespan). To validate the proposed algorithm this computational test was performed using a sample dataset of 60 from the Taillard Benchmark. The HS algorithm is compared with two constructive heuristics of the literature namely the NEH heuristic and stochastic greedy heuristic (SG). The experimental results were obtained on average for the dataset size of 20 x 5 to 50 x 10, that the ACO-GA algorithm has a smaller makespan than the other two algorithms, but for large-size datasets the ACO-GA algorithm has a greater makespan of both algorithms with difference of 1.4 units of time.
SOFTWARE IN GREENHOUSES: PROCESSING 3D IMAGES OF PLANTS AND CLIMATE DATA IN HORTICULTURAL PRODUCTION

Computers developed for the greenhouse climate regulation are mostly accepted, but often not used efficiently by the growers due to some problems: these computer systems do not monitor the historic data or the grower has no time to analyze the gained data manually. Furthermore, he can only evaluate the state of his plants by examining their outer appearance. The grower has no means of comparing objectively the current state of his plants with plants from the past grown in similar climatic conditions. The aim of this project is to establish a sound database of automatically collected climate and plant parameters. In order to evaluate this data, a web based platform is to be developed to display the data properly. Therefore, the data from different climate control units must be translated into a common neutral form. The parameters of plant growth, like height, are determined by image processing techniques.
Deploying Java Platform to Design a Framework of Protective Shield for Anti- Reversing Engineering

Java is a platform independent language. Java programs can be executed on any machine, irrespective of its hardware or the operating system, as long as a Java virtual machine for that platform is available. A Java compiler converts the source code into “byte-code‟ instead of native binary machine code. This byte-code contains a lot of information from and about the source code, which makes it easy to decompile, and hence, vulnerable to reverse engineering attacks. In addition to the obvious security implications, businesses and the wider software engineering community also risk widespread IP theft - proprietary algorithms, for example, that might be implemented in Java could be easily reverseengineered and copied. This paper addresses the problem of reverse engineering attacks on software written in Java. It analyzes the present protective techniques used to protect software from such attacks, examines their limitations and provides a new tool that implements several anti-reversing techniques. This novel tool is code named KDefender and it drew its concept from ANTLR- ANother Tool for Language Recognition.
Optimal Scheduling of Microgrid with Distributed Power Based on Water Cycle Algorithm

Microgrid, taking advantage of distributed power generation technology, plays an important role in maximizing the utilization of renewable energy. Based on the problems of the energy crisis, environmental contamination and the high operating cost of the microgrid, the microgrid model can effectively ease energy pressure. We can dispatch the output of each part in the microgrid to obtain the optimal economy. Since many traditional optimization algorithms have limitations of local optimization, multiple iterations, and slow convergence speed, this paper proposes a method that applies the Water Cycle Algorithm (WCA) to optimize the dispatch of the microgrid to minimize the operating cost. The mathematical model of each distributed power is established. The interactive power between the microgrid and large grid is also considered. The lowest generation cost considering environmental benefits is taken as the objective function. Water cycle algorithm is implemented to obtain the optimal solution under various constraints. Some optimization algorithms such as Genetic Algorithm (GA), Interior Search Algorithm (ISA), and Differential Search Algorithm (DSA) were used for results evaluation. By comparing the results obtained from four different algorithms, a case study shows the WCA possesses the advancements of better convergence performance, faster calculation and higher precision compared to the other algorithms. The results demonstrate that the WCA applied to determine the optimal scheduling of the microgrid can achieve a better result than some other algorithms with an acceptable accuracy and efficiency.
Governance of the party, state and society triad in a democratic South Africa

This article asserts that the concept of governance is inherently complex, and its practice elusive, for both developing and developed countries alike. Whereas democratisation experiments enforced a shift from government to governance due to recognition of the multiplicity of actors, the move was simultaneously undergirded by confi guration of power relations and authority that legitimised informalisation. The latter meant that formal constitutional and statutory institutional frameworks of governance would be overcompensated by complex informal networks that shaped the party-state-society interactionism in favour of distributive regimes and patronage. For former colonies that experienced extended periods of liberation struggles, democratisation and liberationist-democratic experimentation were exploited to legitimise infusion of informal governance for the governing party, state and society triad in favour of the elite and private commercial interests. A democratic South Africa involves a society that is dominated by self-entitlement psychology wherein actors have astronomically secured exponential regulatory, decisional and discursive powers over the state itself, with the result that the claims of state capture have come to dominate headlines over twenty years after democratisation. This article concludes that the current public contestations in a democratic South Africa about President Zuma, Constitutional Court Ruling on the Public Protector’s Nkandla findings, the recklessness of the resources-squandering State-owned Enterprises, the executive’s encroachment into and abuse of apparatus of state for political ends, ill-discipline in the governing party and so on, are symptomatic of a steeply informalised governance that operates through complex networks, largely beyond the reproach of formal constitutional and statutory institutional frameworks.
The Motivation of Health Behavior: How Self-Efficacy and Outcome Expectancies Impact Health Behavior Intention of Long-Term Cancer Survivors

It was assumed, the battle of the cancer would be finished at the end of the treatment. However, it was not necessary so. It was because long-term treatment toxicities could carry physical and psychological effects even after many years of being diagnosed. Indeed, 5-year postdiagnosis marker did not guarantee that cancer would not reccur. That was why, it was important to teach long-term cancer survivor to cope with long-term threats and to help them adopted positive health behaviors to achieve good long-term health and quality of life. According to Health Action Process Approach (HAPA), health behavior intention could be influenced by several factors, including self-efficacy and outcome expectancies. Therefore, the aim of this study was to investigate the impact of self-efficacy and outcome expectancies on the health behavior intention of long-term cancer survivor. This study was conducted on 42 cancer survivors , age between 15-50 years old, using self-report instruments, such as The Health Specific Behavior Self-Efficacy Scale (HSBSES), The Life Orientatation Test Revised (LOT-R), and The Health Behavior Intention Scale. Multiple Regression Analysis indicated that self-efficacy and outcome expectancies had positive and significant impact on the health behavior intention of long-term cancer survivor. This means, if individual’s self-efficacy and outcome expectancies were increased, their health behavior intention would also increase. That self-efficacy and outcome expectancies explained 67% variance in health behavior intention of long-term cancer survivor ( R 2 = 0,670), with the b value of each dimension of self-efficacy which included nutrition self-efficacy b= 0,277, physical exercise b= 0,122, smoking resistance b= 0,112, and alcohol resistance b= 0,254 with p<0,01. Outcome expectancies, on the other hand, surprisingly showed a bigger b value than the four dimensions of self-efficacy which reached up to b= 0,279. Keywords—health behavior, intention, long-term cancer survivor, outcome expectancies, self-efficacy
Slip distribution on a thrust fault at a plate boundary: The 2003 Chengkung earthquake, Taiwan

SUMMARY The 2003 Chengkung earthquake (Mw 6.8) occurred on the east-dipping Chihshang fault of eastern Taiwan, a listric fault with dominant reverse motion. A joint inversion taking into account geodetic (GPS) and seismological (accelerometric and teleseismic) data is performed. This modelling highlights the rupture process behaviour on the fault plane at depth. The coseismic rupture developed essentially between 12 and 26 km depth, expanding laterally by about 30 km towards the SSW. Two slip patches dominated, with slip values exceeding 1.5 m. During the 30 s of the whole process, the rupture propagation decelerated with time, starting at 3.4 ± 0.3 km s–1 in the two main slip patches and ending with velocities below 1.6 ± 0.1 km s–1. The 48 hr of aftershocks that followed the main shock are distributed essentially inside the coseismic slip patches on the fault surface, except in the deepest, southern part of the fault where slip is less resolved. The results of our modelling illustrate the particular behaviour of the 2003 Chengkung earthquake where the coseismic slip rapidly diminished towards the surface, in good agreement with the observation of fast post-seismic slip followed by interseismic creep along the Chihshang fault.
Existence of positive solutions for an approximation of stationary mean-field games

Here, we consider a regularized mean-field game model that features a low-order regularization. We prove the existence of solutions with positive density. To do so, we combine a priori estimates with the continuation method. In contrast with high-order regularizations, the low-order regularizations are easier to implement numerically. Moreover, our methods give a theoretical foundation for this approach.
Analysis of the genetic variability of peach palm (Bactris gasipaes) in the Yurimáguas region, Peru, using molecular RAPD markers

Molecular markers were used to verify the existence of one or more primitive peach palm landraces, including Pampa Hermosa, in the microregion near Yurimaguas, Peru. This region provides the highest amount of seeds for peach palm heart agribusinesses in Brazil. In this analysis, we used 120 peach palm plants ( Bactris gasipaes var. gasipaes ) from four river basins around Yurimaguas. We used six primers, generating 73 RAPD markers. The heterozygosity ranged from 0.29 to 0.31, with a mean of 0.32, and the percentage of polymorphism ranged from 80.8 to 86.6, with a mean of 90.4. The dendrogram, based on Jaccard Similarity, presented eight groups, but it did not present groups formed by the water basins. The average gene flow was high, ranging from 11.41 to 18.89, as expected for populations within a same landrace. The analysis of the genetic diversity in this set of plants showed a common genetic basis among the plants. Nei's Genetic Distances were low, varying between 0.012 and 0.027. This suggests that such populations are very similar to each other, and that there is only one landrace in the region. Therefore, we propose the existence of only one landrace in the Yurimaguas region and the name "Pampa Hermosa" should be adopted.
Characterization of Lactobacillus johnsonii KUNN19-2 and Pediococcus pentosaceus KUNNE6-1 Isolated from Thai-Style Fermented Pork (Nham) for Their Probiotic Properties in the Gastrointestinal Tract and Immunomodulation

Lactobacillus johnsonii KUNN 19-2 and Pediococcus pentosaceus KUNNE 6-1 are resistant to antibiotics (chloramphenicol, tetracycline and streptomycin), and inhibit the growth of Bacillus cereus, Leuconostoc mesenteroides and Staphylococcus aureus. They enhance good sensory characters in Nham (fi rmness, color and fl avor). These promising properties have raised interest in further investigation; thus, the probiotic properties were the aim of the study. The survival of Lb. johnsonii KUNN19-2 and P. pentosaceus KUNNE6-1 under gastric conditions with a low pH of 1.5 were 60.40 and 40.51%, respectively, and in the presence of pepsin were 70.97 and 58.80%, respectively. Their survival rates under the intestinal conditions with pancreatin and bile salts were 54.47–57.14%. However, when Lb. johnsonii KUNN19-2 and P. pentosaceus KUNNE6-1 were exposed to these gastric conditions and then continued to the intestinal conditions, their survival rates were lowered to 30.84 and 19.40%, respectively. Heat-treated cells of Lb. johnsonii KUNN 19-2 induced Immunoglobulin G (IgG) production from T and B cells proliferation in BALB/c mice spleen cells by an ex vivo test of 3.66 and 4.24 μg. mL -1 , respectively, whereas P. pentosaceus KUNNE 6-1 induced IgG production from B cells proliferation of 3.83 μg. mL -1 . These results could provide preliminary information on a future potential probiotic
DESIGN, DEVELOPMENT AND IN VITRO EVALUATION OF CAFFEINE LOADED NATURAL GUM MATRIX TABLET

The present research work was carried out to develop sustained release tablets of caffeine using natural matrix former (tragacanth) and different filling polymers like hydroxyl propyl methyl cellulose (HPMC K15M) and ethyl cellulose (EC). Caffeine was used as model drug. The polymers and tragacanth gum were incorporated in varying ratios into a matrix system using wet granulation technique. All the lubricated formulations were compressed into tablets and evaluated for various physicochemical properties such as thickness, hardness, friability, weight variation, drug content and in vitro drug release studies. From the investigation it was observed that increase in the amount of gum tragacanth (from F1 to F5) led to reduced friability, increased hardness and retarded drug release. Different filling polymers also sustained the drug release. The in vitro drug release data were tted in various release kinetics models to understand th mechanism of drug release. All solid matrix formulations were found to follow Higuchi kinetics, indicating the diffusional release of drug from the matrix type system. The Formulation F5 containing highest amount of gum tragacanth have shown promising results. The findings of the current investigation clearly indicate the potential of tragacanth gum to be used as release retardant and natural matrix material in sustained release formulations. Key words: Sustained release, Matrix tablets, Tragacanth, Caffeine.
Associating ground magnetometer observations with current or voltage generators

A circuit analogy for magnetosphere‐ionosphere current systems has two extremes for drivers of ionospheric currents: ionospheric electric fields/voltages constant while current/conductivity vary—the “voltage generator”—and current constant while electric field/conductivity vary—the “current generator. ” Statistical studies of ground magnetometer observations associated with dayside Transient High Latitude Current Systems (THLCS) driven by similar mechanisms find contradictory results using this paradigm: some studies associate THLCS with voltage generators, others with current generators. We argue that most of this contradiction arises from two assumptions used to interpret ground magnetometer observations: (1) measurements made at fixed position relative to the THLCS field‐aligned current and (2) negligible auroral precipitation contributions to ionospheric conductivity. We use observations and simulations to illustrate how these two assumptions substantially alter expectations for magnetic perturbations associated with either a current or a voltage generator. Our results demonstrate that before interpreting ground magnetometer observations of THLCS in the context of current/voltage generators, the location of a ground magnetometer station relative to the THLCS field‐aligned current and the location of any auroral zone conductivity enhancements need to be taken into account.
Chloroplast DNA phylogenetics of the North American chestnuts and chinquapins (Castanea Mill., Fagaceae)

iv DEDICATION . v ACKNOWLEDGMENTS . vi LIST OF TABLES . xi LIST OF FIGURES . xii LIST OF ABBREVIATIONS . xiv LIST OF SYMBOLS . xvi CHAPTER . 1
Feeding strategies for the acquisition of high‐quality food sources in stream macroinvertebrates: Collecting, integrating, and mixed feeding

Aquatic macroinvertebrates play an important functional role in energy transfer in food webs, linking basal food sources to upper trophic levels that include fish, birds, and humans. However, the trophic coupling of nutritional quality between macroinvertebrates and their food sources is still poorly understood. We conducted a field study in subalpine streams in Austria to investigate how the nutritional quality (measured by long‐chain polyunsaturated fatty acids, LC‐PUFAs) in macroinvertebrates changes relative to their basal food sources. Samples of macroinvertebrates, periphyton, and leaves were collected from 17 streams in July and October 2016 and their fatty acid (FA) composition was analyzed. Periphyton FA varied strongly with time and space, and their trophic effect on macroinvertebrate FA differed among functional feeding groups. The match between periphyton FA and macroinvertebrate FA decreased with increasing trophic levels, but LC‐PUFA content increased with each trophic step from periphyton to grazers and finally predators. Macroinvertebrates fed selectively on, assimilated, and/or actively controlled their LC‐PUFA, especially eicosapentaenoic acid (EPA, 20 : 5ω3) relative to their basal food sources in the face of spatial and temporal changes. Grazer FA profiles reflected periphyton FA with relatively good fidelity, and especially their EPA feeding strategy was primarily linked to periphyton FA variation across seasons. In contrast, shredders appeared to preferentially assimilate more EPA over other FA, which was determined by the availability of high‐quality food over seasons. Predators may more actively control their LC‐PUFA distribution with respect to different quality foods and showed less fidelity to the basal FA profiles in plants and prey. Overall, grazers and shredders showed relatively good fidelity to food FA profiles and performed as both “collectors” and “integrators” for LC‐PUFA requirements across seasons, while predators at higher trophic levels were more “integrators” with added metabolic complexity leading to somewhat more divergent FA profiles. These results are potentially applicable for other aquatic consumers in freshwater and marine ecosystems.
Accounting Standards, Financial Reporting Outcomes and Enforcement

In this paper, I draw parallels between the literatures on the effects of law on the financial development of countries and on the effects of accounting standards on financial reporting outcomes. My central thesis is that these literatures are complementary in terms of what they have to say about understanding the effects of law, regulations and accounting standards on economic and financial reporting outcomes. Moreover, both literatures suggest that U.S. securities laws and financial reporting standards have taken a more regulatory direction over time. I then take these themes and draw implications for the effects of the adoption of International Financial Reporting Standards (IFRS) around the world at the time of adoption and over time.
Advertising and Aggregate Consumption: A Bayesian DSGE Assessment

Aggregate data reveal that advertising in the U.S. absorbs approximately 2% of GDP and has a well defined pattern over the business cycle, being strongly procyclical and highly volatile. Because the purpose of brand advertising is to foster sales, we ask whether such spending has an appreciable effect on the pattern of aggregate consumption and, through this avenue, on economic activity. This question is addressed by developing a dynamic general equilibrium model in which households' preferences for differentiated goods depend on the intensity of brand advertising, which is endogenously determined by profit-maximizing firms. Once the model is estimated to match the U.S. economy, it argues that the presence of advertising in the long run raises aggregate consumption and hours worked, eventually fostering economic activity. We also find that advertising has a relevant impact on fluctuations in consumption, investment and markup over the business cycle. All of the abovementioned effects are proven to epend crucially on the degree of competitiveness of advertising at the firm level.