Miracle-dz/UniFAR-FTUs huggingface dataset:
Operational Control of Two Maximum PowerPoint Trackers for Two String PhotovoltaicPanels in DC Distribution System

In recent years the non-conventional energy sources is playing an important role in decreasing carbon emission and exhaustion of fossil fuel. The application of solar power and fuel cells is playing an important role for residential loads. In order to attain high consumption rate of the solar power, the maximum power point trackers will be considered for two string photovoltaic panels in a conventional 5-KW DC distribution system having voltage and current at maximum power as 35.4V and 4.94A which will be further coupled to ac grid with a bidirectional inverter. In this system, two PV strings and two MPPTs are implemented. The perturb and observe method is applied for maximum power point tracking for obtaining the current balancing of two MPPT modules in parallel. Perturb and observe method is compared with incremental conductance method and bidirectional inverter is replaced with multilevel inverter and results are obtained using MATLAB/ SimulinkSoftware.
Molecular Systematics of some Bulbophyllum species in Peninsular Malaysia based on ITS sequences.

In this article, ITS sequences of 34 species in Bulbophyllum genus were researched. Alignment between ITS sequences from the species was performed, and discovered that average percentage sequence divergence (uncorrected p distance) within Bulbophyllum species was 9.87% and maximum in-group ITS divergence was 13.68% (between B. membranifolium with B. sulcatum). Molecular systematic analysis of ITS was revealed that, 34 species of Bulbophyllum were monophyletic and they were divided into six groups, which is partly inconsistent with the viewpoint of morphological classification of Bulbophyllum in Peninsular Malaysia.
Young Accreting Compact Objects in M31: The Combined Power of NuSTAR, Chandra, and Hubble

We present 15 high-mass X-ray binary (HMXB) candidates in the disk of M31 for which we are able to infer compact object type, spectral type of the donor star, and age using multiwavelength observations from NuSTAR, Chandra, and the Hubble Space Telescope. The hard X-ray colors and luminosities from NuSTAR permit the tentative classification of accreting X-ray binary systems by compact object type, distinguishing black hole from neutron star systems. We find hard-state black holes, pulsars, and non-magnetized neutron stars associated with optical point-source counterparts with similar frequency. We also find nine non-magnetized neutron stars coincident with globular clusters and an equal number of pulsars with and without point-source optical counterparts. We perform spectral energy distribution (SED) fitting for the most likely optical counterparts to the HMXB candidates, finding seven likely high-mass stars and one possible red helium-burning star. The remaining seven HMXB optical counterparts have poor SED fits, so their companion stars remain unclassified. Using published star formation histories, we find that the majority of HMXB candidates—X-ray sources with UV-bright point-source optical counterpart candidates—are found in regions with star formation bursts less than 50 Myr ago, and three are associated with young stellar ages (<10 Myr). This is consistent with similar studies of HMXB populations in the Magellanic Clouds, M33, NGC 300, and NGC 2403.
An Analysis of the Adult Education Curricula Implemented in Turkish Universities

The aim of the study to examine the characteristics of the programs conducted by the Continuing Education Centers (CECs), to reveal whether these programs serve for equality, and to identify the institutional barriers related to the CEC programs against adult education. CECs aim to fulfill the educational needs of adults and/or sectors in different fields through the trainings they conduct. In this study, descriptive research method is adopted. The data for this study were collected by examining the 1727 adult education programs through macro analysis, and 83 adult education curricula stated on the webpages of CECs functioning in 57 universities in 2015 were subject to micro analysis. The trainings conducted by CECs were examined according to some criteria such as theme, duration, training fee, mode of instruction, and the features of target audience. Moreover, the curricula of the trainings conducted by CECs were analyzed in terms of objectives, content, teaching-learning processes, and measurement and evaluation. The most important findings of the study involved the inefficiency of the CECs in contributing to the social equality, the lack of standards in curricula and insufficient collaboration with enterprise and other institutions.
Genetic-Based Estimates of Adult Chinook Salmon Spawner Abundance from Carcass Surveys and Juvenile Out-Migrant Traps

AbstractDue to the challenges associated with monitoring in riverine environments, unbiased and precise spawner abundance estimates are often lacking for populations of Pacific salmon Oncorhynchus spp. listed under the Federal Endangered Species Act. We investigated genetic approaches to estimate the 2009 spawner abundance for a population of Columbia River Chinook Salmon Oncorhynchus tshawytscha via genetic mark–recapture and rarefaction curves. The marks were the genotyped carcasses collected from the spawning area during the first sampling event. The second sampling event consisted of a collection of juveniles from a downstream migrant trap located below the spawning area. The parents that assigned to the juveniles through parentage analysis were considered the recaptures, which was a subset of the genotypes captured in the second sample. Using the Petersen estimator, the genetic mark–recapture spawner abundance estimates based on the binomial and hypergeometric models were 910 and 945 Chinook Salmon, .
Investment, Inflation and Economic Growth Nexus

The paper has twofold objectives. Firstly, the impact of the inflation rate on economic growth with the possibility of two threshold levels for Pakistan using annual data from 1961 to 2008 is examined and secondly, nonlinear relationship between inflation and investment has been investigated. Inflation and growth models support the existence of a nonlinear relationship with two thresholds (6 percent and 11 percent). Inflation below the first threshold affects economic growth positively but insignificantly; at moderate rates of inflation, between the two threshold levels, the effect of inflation is significant and strongly negative and at high rates of inflation, above the second threshold, the ma rginal impact of additional inflation on economic growth diminishes but is still significantly negative. Investment is one of the possible channels through which inflation influences economic growth and the analysis indicates the nonlinear relationship between these two variables with only one threshold at 7 percent. Rate of inflation below the threshold level has positive but insignificant impact, while above the threshold it has strong negative and significant impact on the investment. Therefore, it is desirable to keep the inflation below 6 percent because it may be helpful for the achievement of robust economic growth and investment.
Adolescent regulation of strong emotions: Age and gender differences

Adolescents’ capacity to regulate strong emotions is an important aspect of successful adolescent development. To date, no measure has been available to assess adolescents’ ability to regulate their strong emotions. This study used the MACS, an adapted version of the Affective Control Scale (Chambless & Williams, 1982), to survey over 2100 high school students, aged 12-18 years. A further 1200 of these completed a follow-up survey. The findings indicated that, in general, males had an increased fear of positive emotion and anger, whereas females had an increased fear of negative emotions of depression and anxiety. Females were also less able than males to take charge of their strong emotions. In addition, fear of negative emotions was greatest for girls aged 14 years. The MACS proved to be a useful and dependable way of ascertaining adolescents’ emotional functioning.
A Novel Beam Scanning/Directivity Reconfigurable m-EBG Antenna Array

In this paper, we introduce a new technique for an electronic beam scanning/directivity reconflgurable which can be carried out by using a joint array of Metallic Electromagnetic Band Gap (M-EBG) sectoral antennas. This study opens new avenues of research on M-EBG sectoral antennas by combining multiple radiating elements in an array. Usually M-EBG structures are designed in passive conflgurations to radiate flxed/shaped beams thanks to a speciflc radiating aperture at the surface of the M-EBG antenna. However by opting this new technique, we are able to control the radiating aperture, and therefore provide a tunable directivity/beam pattern. The objective of the paper is to propose a solution for M- EBG antennas in order to achieve Beam Scanning and Directivity reconflgurability. The main advantage of the proposed technique is that the array have negligible mutual coupling between the radiating elements, simplifying therefore the conception of the beam-forming network and the problems of constrained beam scanning. Another objective of the paper is to be able to achieve wide angle beam scanning i= + 58 degrees. This method makes it possible to obtain in a simple way an agile M-EBG antenna without the need of the expensive active electronic components. Several results show the efiectiveness and the capabilities of the proposed technique.
Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad

Sanad is one of important part used to determine the authentication of hadith. However, very little research work has been found on classification of Malay translated Hadith based on sanad. There are some researches done using machine learning approach on hadith classification based on sanad but using different objective with different language. This research is to see how Machine Learning techniques are used to classify Malay translated Hadith document based on sanad. In this paper, SVM, NB and k-NN are used to identify and evaluate the performance of Malay translated hadith based on sanad. The performances are evaluated based on standard performance metrics used in text classification which is accuracy and response time. The results show that SVM has the highest accuracy and k-NN has the best response time (time taken in process for classification data) compare to other classifier. In future, we plan to extend this paper with the analysis on interclass similarity and also test on larger dataset.
SIGNAL DESCRIPTIONS AND FORMULATIONS FOR LONG RANGE UHF RFID READERS

In this paper, signal descriptions and formulations for the radio frequency (RF) front-end of a passive backscatter radio frequency identification (RFID) reader working at ultra high frequencies (UHF) are discussed in detail, and a set of design considerations aiming to improve the read range are outlined. The reader’s architecture is proposed and the design details of its RF frond-end are presented. The read range is formulated through calculating the time-averaging power absorbed by the tag and the signal-noise-ratio (SNR) of the demodulation, and accordingly RFID systems can be classified into tag-determining and reader-determining ones. It is concluded that the gain of the reader antenna, the phase noise of the local oscillation (LO) and the receive-transmit isolation coefficient dominate the demodulation output noise of the reader, and consequently the readerdetermining maximum operational distance. A prototype reader working at the frequency of 915 MHz was built with off-the-shelf components and was evaluated with a commercial tag in an indoor environment. The measured results show that this RFID system is of tag-determining and has a read range of 8.4 meters, which are in good agreement with the calculated results.
Leadership Strategy, Behavioural Focus and Firm Performance: A Review of Literature

The strategic management literature has laid emphasis on the role of leadership at several phases of the strategic management process. The literature has however not addressed the construct of leadership strategy as well as integrating it into the mainstream literature on strategic management. Researches already done to link leadership with performance have been biased in terms of the scope of focus on the dimension of performance and at the same time have registered methodological and conceptual challenges affecting the generalization of findings. In this paper, the authors integrate the extant literature on leadership with that on leadership strategy and identify issues that call for an expanded scope on the construct of leadership. The paper reviews extant conceptual, theoretical and empirical literature and raises diverse issues that present a case for a new theoretical model suitable to extend the current understanding on leadership and the phenomenon it brings about in organization into new frontiers in management. This paper proposes an integrated theoretical model for linking leadership strategies and firm performance while providing for the role of leadership paradigms, leadership behavioural focus and firm capabilities. The emerging theoretical propositions and implications for future research are discussed.
Improvements of the Dynamic Programming Algorithm for tree Bucking

Log bucking is one of the most important operations in the transformation of trees into lumber. A bad decision at this stage can jeopardize the optimal recovery in volume or in value. The problem of optimizing the recovery during the bucking process has been solved using, among other things, dynamic programming. This article describes the main approaches and suggests some improvements to the dynamic programming approach. By introducing certain assumptions into the dynamic programming algorithm formulation, this approach becomes both more realistic and more efficient. The algorithm defined here is used in an integrated bucking-breakdown model. Example simulations demonstrate the computational speed improvements that result from the introduction of the assumptions.
THE PERSISTENCE OF PROFITS: AN ORDERED PROBIT APPROACH §

The aim of our paper is to highlight the main results of the literature on profit persistence and to provide new empirical findings which can deal with the drawbacks of previous empirical studies. Using a panel of more than 5,000 Italian manufacturing firms for the period 1989-1997, we set up an empirical investigation which enables us to specify an ordered probit model, which defines three different firm profitability levels (high, mean and low) as a function of firm and sectoral characteristics. We use a panel order probit technique to estimate the impact of such variables on profit status, and then test for persistency. Firm size and market concentration have a negligible impact on the probability of being a highly profitable firm, while a firm's propensity to innovate strongly affects such a probability. Sectoral fixed effects are also taken into account, and they highlight the fact that operating in one of most of the traditional industries (food, beverages and tobacco, wearing, leather) and large-scale assembly industries (e.g., the machinery and equipment industry), negatively contributes to the probability of being a successful firm, i.e. a highly profitable firm. The opposite result is found for those sectors (chemicals, electrical machines, professional, scientific and optical goods) in which technological opportunities are higher as measured by standard indicators (R&D and patent activity). Persistence is tested for by looking at possible state dependence, i.e. the effect of a lagged profit status variable. Our estimates suggest that state dependence is highly significant, in that a firm's profit condition at time t is crucially affected by its profit condition at time t-1. Our results emphasise how the probability of being a highly profitable firm depends more on the firm's ability to innovate than on market structure or firm size, thus indicating possible policy issues.
Identifying perceptual structures in trademark images

In this paper we focus on identifying image structures at different levels in figurative (trademark) images to allow higher level similarity between images to be inferred. To identify image structures at different levels, it is desirable to be able to achieve multiple views of an image at different scales and then extract perceptually-relevant shapes from the different views. The three aims of this work are: to generate multiple views of each image in a principled manner, to identify structures and shapes at different levels within images and to emulate the Gestalt principles to guide shape finding. The proposed integrated approach is able to meet all three aims.
Solutions and Challenges for the Development of a Mobile Social Network

In this paper we present SocialCompanion, an approach for connecting virtual and physical social networks. We point out solutions and challenges for the development of a mobile social network, which is intended to provide innovative user-centric and userassisting services. SocialCompanion is also a learning system, which adapts to the user’s needs and interests using contextual information about the user and his environment. Currently, we are implementing a prototype for real-life experiments.
Effect of Nozzle Parameters on the Temperature Field, Flow Field and Stress Field in the Continuous Casting of Steel Billet

Based on commercial software Pro-CAST, The method of moving boundary was adopted to simulate coupled multi-physical field (temperature field, flow field and stress field) of thick-slab continuous casting in mould. Effect of immerged depth and angle of nozzle were studied to improve characteristics of multi-physical fields. The results show that the immerged depth of 120 mm to 140 mm and dip Angle of 15° is a better parameters for the immerged nozzle. Simulation results are basically identical with the actual result, the obtained parameters of immerged nozzle can provide a certain theoretical basis for the actual casting process.
The Effect of Context Upon Elementary Children's Attention to Contour and Interior Pattern of Shapes in Color Drawings.

The ability to perceive similarities and differences in contour and interior pattern of shapes in color drawings and test shapes was accessed for children in grades one, three, and five in two contextual conditions: an isolated shape and a shape in a full drawing. The analysis of data indicated that first graders had significantly more errors for both dimensions than fifth graders did. Third graders made significantly fewer errors than first graders for interior pattern. Fifth graders made significantly fewer errors than first graders for contour and interior pattern. Significant differences due to context were evident for first and third graders on both dimensions, while context effected the identification of only contour for fifth graders. With increase of age, attention to the interior pattern of shapes improved while attention to contour information was significantly effected by the surrounding contextual information found in the drawings.
The role of defensible space for residential structure protection during wildfires

With the potential for worsening fire conditions, discussion is escalating over how to best reduce effects on urban communities. A widely supported strategy is the creation of defensible space immediately surrounding homes and other structures. Although state and local governments publish specific guidelines and requirements, there is little empirical evidence to suggest how much vegetation modification is needed to provide significant benefits. We analysed the roleofdefensible spacebymappingandmeasuringasuite ofvariables onmodernpre-fire aerialphotographyfor1000 destroyed and 1000 surviving structures for all fires where homes burned from 2001 to 2010 in San Diego County, CA, USA.Structuresweremorelikelytosurviveafirewithdefensiblespaceimmediatelyadjacenttothem. Themosteffective treatment distance varied between 5 and 20 m (16-58 ft) from the structure, but distances larger than 30 m (100 ft) did not provideadditionalprotection,evenforstructureslocatedonsteepslopes.Themosteffectiveactionswerereducingwoody cover up to 40% immediately adjacent to structures and ensuring that vegetation does not overhang or touch the structure. Multiple-regression models showed landscape-scale factors, including low housing density and distances to major roads, were more important in explaining structure destruction. The best long-term solution will involve a suite of prevention measures that include defensible space as well as building design approach, community education and proactive land use planning that limits exposure to fire.
Microbe-mediated plant-soil feedback causes historical contingency effects in plant community assembly

Plant-soil feedback affects performance and competitive ability of individual plants. However, the importance of plant-soil feedback in historical contingency processes and plant community dynamics is largely unknown. In microcosms, we tested how six early- successional plant species of secondary succession on ex-arable land induced plant-specific changes in soil community composition. Following one growth cycle of conditioning the soil community, soil feedback effects were assessed as plant performance in soil of their own as compared to soil from a mixture of the other five early-successional species. Performance was tested in monocultures and in mixed communities with heterospecific competition from mid- successional species. The role of soil microorganisms was determined by isolating the microbial component from the soil community, re-inoculating microorganisms into sterilized substrate, and analyzing plant biomass responses of the early- and mid-successional species. Plant-soil feedback responses of the early-successional species were negative and significantly increased when the plants were grown in a competitive environment with heterospecifics. In monocultures, three early-successional species experienced negative feedback in soil with a history of conspecifics, while all early-successional species experienced negative feedback when grown with interspecific competition. Interestingly, the nonnative forb Conyza canadensis showed the weakest soil feedback effect. Biomass production of the early- successional plant species was profoundly reduced by the microbial inocula, most strongly when exposed to inocula of conspecific origin. Molecular characterization of the fungal and bacterial rhizosphere communities revealed a relationship between plant biomass production and the composition of the dominant fungal species. Furthermore, our results show that, in early secondary succession, the early-successional plant species induce changes in the soil microbial community composition that cause historical contingency effects in dominance patterns of mid-succession plant communities. We conclude that feedback between early-successional plant species and soil microorgan- isms can play a crucial role in breaking dominance of early-successional plant communities. Moreover the influences on soil microorganism community composition influenced plant community dynamics in the mid-successional plant communities. These results shed new light on how feedback effects between plants and soil organisms in one successional stage result in a biotic legacy effect, which influences plant community processes in subsequent successional stages.