Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless DC Motor and Breaking Control System

: Wireless DC motor and brake control system is a system that’s been designed to control the speed in high rate accident and to reduce the number of accidents. A braking system has been designed and connected to the system to be controlled automatically. Microcontrollers are used in automatically controlled products and devices, such as automobile engine control systems. The programming in this project was done and installed into the microcontroller to give the orders to the system. Radio frequency is the main responsible to control the signal between the transmitter and the receiver units. The DC motor was used to present the engine of the car and it was connected and controlled by the system. This paper presents the structural prototype, hardware design implementation and the software development.
A Proportional Study of Issues in Big DataClustering Algorithm with Hybrid CS/PSOAlgorithm

: In this paper, we have considered different clusteringstrategies which are by and by utilized for perusing enormous certainties. Allthese current systems are as analyzed on the premise of executiontime and bunch extraordinary and their benefits and bad marks areprovided. Previously proposed component is fluffy K-C path on this system scope of bunch is lesser so the determination of scope of iterationsand merging at the off base minima.In proposed work we find the numberof group by utilizing an optimizationapproach of PSO and Cuckoo look for strategy the utilization of a Hybrid procedure to expand the group. It appeared to be superiorwhile when contrasted with the option systems.
Determination of Risk Factors for Night Eating Syndrome among Public University Students in Malaysia

Introduction: Night eating syndrome (NES) has been progressively drawing attention and becoming a global concern due to its clinical implications. However, the study related to NES was found to be scarce in Malaysia. As such, this study aimed to determine the risk factors of NES among Malaysian public university students. Methods: This cross-sectional study involved 270 participants (mean age: 20.9±1.4 years), who were selected randomly from three different course disciplines at a public university in Selangor, Malaysia. The data were collected using a self-administered questionnaire on socio-demographic background, NES, depression, anxiety, stress, sleep quality, and disordered eating. Weight, height, and waist circumference of the participants were measured. Results: Results showed that 12.2% of the participants were engaged in NES. Binary logistic regression identified four significant risk factors of NES namely, being a male (AOR = 3.050, 95% CI = 1.129 – 8.238), persuading in a technical-stream course (AOR = 6.010, 95% CI = 2.057 – 17.555), being a stressful student (AOR = 3.580, 95% CI = 1.149 – 11.151), and having poor sleep quality (AOR = 4.664, 95% CI = 1.431 – 15.209). Conclusion: Early screening process should be conducted from time to time in which university students with potentially NES are able to receive necessary behavioural and cognitive therapy in order to recover.
Confidence Scores for Speech Processing

In many applications involving speech recognition technology, it is a common case that apart from the transcription itself, an indication of reliability associated with the transcription is needed for making downstream decisions. The confidence score provides such a measure and it is estimated by using intermediate information available during the recognition process. In this report, the fundamentals of speech recognition are firstly reviewed, especially the decoding stage where lattices and confusion networks that encode a rich amount of meta information are produced. Based on the understanding of information sources, current approaches for confidence score estimation are briefly introduced, including the features and models that combine these features. Despite the effectiveness of some of these approaches, few of them are ideal. In automatic speech recognition, the recogniser could produce results in the form of one-best sequences, confusion networks and lattices with an increasing amount of information and complexity. The system could also operate at the sub-word level, the word level or the utterance level. Therefore, a model that functions like a classifier on inputs with various structures and levels of complexity, that could incorporate an arbitrary number and type of input features, that could be applied at different levels of granularities, and that could extract useful information from the structured data would be perfect. Drawing from the recent advancement in deep learning methods, such as the bidirectional long short-term memory network and the attention mechanism, a variant of the recurrent neural network – LATTICERNN – is introduced. LATTICERNN integrates recurrent neural network with the idea of the forward-backward algorithm that runs on lattices. The major benefit of the LATTICERNN model is the generality and flexibility it offers as a framework. Building upon knowledge about speech recogniser and deep learning models, the theory of the LATTICERNN model is formulated. Implementation details are also described on account of the special architecture of the model, which also include the approaches to labelling all arcs on the lattices or the confusion networks for training. It is widely acknowledged that achieving efficient training of neural networks on non-uniform inputs such as sequences is challenging, let alone the more complex structures such as graphs for LATTICERNN . By carefully distributing the training task on multiple cores of a machine, the learning is greatly accelerated. Subsequent
Social allies modulate corticosterone excretion and increase success in agonistic interactions in juvenile hand-raised graylag geese (Anser anser)

In mammals, support by a social partner may reduce stress levels and ease access to resources. We investi- gated the effects of the passive presence of a nearby social ally on excreted corticosterone immunoreactive metabolites and behaviour in juvenile graylag geese (Anser anser). Two groups of hand-raised juveniles (N1 =9 ,N2 =3 ) were tested over 1 year by positioning humans of different familiarity (i.e., the human foster parent, a familiar human, a nonfamiliar human, no human) at a standard distance to the focal geese. Their success in agonistic interactions signifi- cantly decreased with age and with decreasing familiarity of the accompanying human. The humans present modulated the excretion of corticosterone immunoreactive metabolites, with the strongest effects recorded after fledging when corticosterone metabolites were also positively correlated with agonistic behaviour. This suggests that a human foster parent may provide similar supportive benefits as goose parents do in natural families. We discuss the benefits of social alliances with regard to the integration into the flock, access to resources, and life history.
Senegalia berlandieri, S. greggii and S. wrightii hybrids (Fabaceae: Mimosoideae) in Texas and adjacent Mexico

Principal component (PCA) and principal coordinate analyses (PCoA) suggest that Senegalia x emoryana is of hybrid origin, the probable parents being S. berlandieri and S. greggii. Many individuals and populations involving the parental species and F1 hybrids, as well as backcrosses to either of the two parents, have been observed by the authors and others. This hybrid occasionally dominates disturbed habitats, becoming more common than the parental species. A hybrid morphologically similar to S. x emoryana involving S. berlandieri and S. wrightii is also discussed. The hybrid between S. berlandieri and S. wrightii (herein described as Senegalia x turneri Seigler & Ebinger), in contrast to Senegalia x emoryana, does not appear to be common; we have found relatively few individuals, mostly in association with the parents. Phytologia 94(3):439-455 (December 1, 2012).
The impact of parenting strictness on adolescents’ state anxiety and the moderation effect of parental marital quality

In recent years, the well-being of adolescents has received a large amount of attention from academic research and the society in general. A persistent pattern of state anxiety typically indicates serious concerns on mental health, and a failure to address the issue promptly could potentially result in mental disorders in adulthood. In the current research, I examine the potential role of parenting strictness on adolescents’ state anxiety and the moderating role of parental marital quality. A representative sample of Chinese adolescents were collected and their responses were analyzed with sequential regression analyses. The results have largely verified my hypotheses that parental strictness was positively related to state anxiety and that parental marital quality positively moderated such effect. The limitation and implications of the current research is discussed.
Discreteness of Brainwaves Estimating Based on Functional Connectivity for Improving EEG Based Biometric System

: An EEG system capable of measuring brain waves in analyzing individual for biometric purpose has received plenty of attention in recent years. These brain waves (EEG), measured as the electrical activity on the scalp, can reveal numerous information concerning a person. This paper discusses the efficacy of the EEG signal for human identification using fifty six channels of 2 totally different sorts of recording. It is one amongst the foremost fraud resistant biometrics. Most of the previous analysis relies on the extraction of features characterizing the activity of a single brain region. But in the functional connectivity features are extracted from the activity of different brain region. A recognition accuracy improves using functional connectivity between totally different brain regions compared to the activity of a single brain region and shows higher distinctiveness. The main aim of this proposed approach is to use channel supported functional connectivity between totally different brain regions as a viable biometric feature. Two totally different characterizations such as Eyes-Open and Eyes-Closed resting state conditions of brain activities are considered. In this proposed methodology, considering the functional connectivity concept and adding features using different wavelet feature extraction methods to improve the recognition accuracy results in both eyes-closed and eyes-open resting state condition compared to previous approaches when integrating between totally different regions in the brain zones such as frontal, central and parieto-occipital regions.
How Does the Quality of Concessions at an NFL Game Affect Fan Satisfaction and Behavior? Analysis of Fan Perceptions

This study investigates spectator perceptions of concessions (e.g., food and drinks) service quality by surveying fans at National Football League games during the 2013 season. The survey explored such research questions as the extent to which constructs associated with service quality positively affect the concession experience and the extent to which concessions experiences may be positively related to key marketing outcomes (e.g., do spectators feel concessions made the sports event more memorable, make them more likely to would spread word-of-mouth, feel appreciated, etc.). The study also examined if different traits of fans perceived the concessions experience differently (e.g., fans of various ages and genders, the avidity of fans, and spectators who sat in different sections of the stadium, etc.). Respondents included 507 fans who attended NFL games in 2013; respondents averaged 37.1 years of age. Results suggest that the game day experience with service quality does effect the concession experience. Fan intention to return to the concession venue, their overall game day experience, level of fan avidity, and favoritism towards the host organization is positively affected by their experience at the concession stand. The study also suggests that the fan concession experience does move the needle in terms of fan purchase intent, fans’ feelings of appreciated by the team and team management, having a memorable game day experience, and intention to spread their experience via word-of-mouth. The study also suggests that the level of the stadium in which fans were seated may not have a strong relationship with perceptions of service quality
Distinction of Ozothamnus diosmifolius (Vent.) DC Genotypes Using RAPD

An assessment was made to determine the suitability of RAPD analysis for identification of the Australian wildflower Ozothamnus diosmifolius (Vent.) DC [syn. Helichrysum diosmifolium (Vent) Sweet] cultivars and lines. Of 19 arbitrary primer sequences tested, 16 revealed a high degree of polymorphism between the six most important genotypes with commercial significance, producing a total of 166 markers, of which 70% were polymorphic. Several primers (such as OPD-03 and OPM-07) were able to distinguish all tested genotypes from one another, showing an intracultivar consistency. These results indicate that RAPD analysis is a useful tool for establishing genetic diversity in this species as well as assisting in commercial protection of plant breeders' rights.
Virtuális könyvtáros segítheti majd a kutatókat kézirataik beküldésében a Debreceni Egyetemen

Jelen munkánkban egy magyar nyelvű, publikálást segítő AIML (Artificial Intelligence Markup Language) tudásbázis létrehozásának bemutatását kezdjük meg. Speciálisan egy informatikai kéziratok beküldését segíteni képes tájékoztató könyvtáros tudásbázisának létrehozására szűkítjük erőfeszítéseinket. Távolabbi célunk a kifejlesztett tudásbázis üzeme során szerzett tapasztalatok analitikai elemzése.
Direct flow between distribution centers for multi-objective supply chain design

This paper reviews the problem of designing a multi-objective supply chain called Capacitated Fixed Cost Facility Location Problem with Transportation Choices (CFCLP-TC). We solve this multi-objective problem using the epsilon-constraint approach. The models with and without this transshipment feature are implemented in GAMS and solved with CPLEX.
Firm Decision Making under Both Input and Output Price Uncertainty

Theory of the firm suggests that optimal production levels decrease as output price becomes random. Firms operating in industries with long production lags are also exposed to input price uncertainty. This paper provides a novel decision theoretic model in the presence of both input and output price uncertainty and uses U.S. beef sector data to test theoretical propositions concerning firm behavior. Our findings confirm that, in a two-stage production, the introduction of input price uncertainty leads to increased use of the input and an increased level of output in stage one and a decreased level of output in stage two.
Patent Foramen Ovale Closure and Medical Therapy for Cryptogenic Stroke: Evidence from Randomized Controlled Trials and Beyond

There has been substantial investigation recently into the role of patent foramen ovale (PFO) closure for treatment of patients with cryptogenic stroke (CS). In this review, the background, results and limitations of 6 randomized controlled trials (RCTs) comparing PFO closure with medical therapy (MT) for CS are summarized. Methodologic and treatment-related differences between older and newer trials are outlined and serve as potential sources for discrepancy in results obtained. In particular, the selection of patients with “high-risk” anatomic features of PFO and continued use of antiplatelet therapy were important reasons for the benefit of PFO closure demonstrated in newer RCTs. The review also examines the association of PFO with CS in older patients, as well as discussing the role for PFO closure in these patients who were largely excluded from large RCTs. Thus far, direct comparisons of PFO closure and MT in older patient cohorts are lacking, with results from small, nonrandomized studies demonstrating inconsistent conclusions about differences in recurrent embolic event rates between older and younger patients after device implantation. Finally, this review discusses limitations in the evidence for use of oral anticoagulation compared with antiplatelet therapy in patients with CS and PFO not undergoing PFO closure.
COMPACT TRIANGULAR MICROSTRIP ANTENNA WITH FRACTAL GROUND

In this paper, the design of a new compacted triangular microstrip antenna by the use of fractal ground plane is presented. This antenna is suitable for WLAN applications at operating frequency of 2.4 GHz. At first, the design process begins by a triangular patch antenna fed by a microstrip line supported by an FR4 substrate with dielectric constant of 4.7 and a thickness of 1.6 mm. The backward side of the substrate is covered by a total ground plane. The miniaturization strategy is performed by applying a third order of the Sierpinski carpet to the ground which leads to 27.2% of size reduction. The proposed antenna is simulated by CST Microwave Studio Software. Results are analyzed in terms of return loss, VSWR, bandwidth and radiation patterns. Keywords— Microstrip Antenna, Miniaturization Techniques, Fractal Ground Plane, Wireless Applications.
Extended Modal Series Method based Nonlinear Model Predictive Control

This paper presents the main results and theoretical contributions of the Master Thesis with the same name. It deals with the Nonlinear Model Predictive Control design and implementation on a Variable Pitch Quadrotor using a new technique called the Extended Modal Series Method to find suboptimal solutions of the associated Optimal Control Problem. The method is presented and explained as well as the system dynamics and the control law. The results show that compared with the traditional quaternion-based controller the proposed technique is more robust to parameter uncertainty and external disturbances.
Structural and Floristic Heterogeneity in a 30‐Year‐Old Costa Rican Rain Forest Restored on Pasture Through Natural Secondary Succession

Relatively little information exists on neotropical secondary rain forests that have progressed beyond the pioneer stages of succession, or on the potential of natural regeneration to restore forest on large areas. We determined the structural and floristic characteristics (10 cm dbh) of a 30‐year‐old secondary forest developing on a 32.5 ha pasture on hilly terrain, abandoned after use of moderate intensity. Ten 0.24 ha sample plots covered the range of site conditions. The forest was dominated by long‐lived pioneer tree species; overall, the majority of species (70%) was vertebrate dispersed but the majority of individuals (52%) was of wind‐dispersed species. Tree species, including the dominants, were a mixture of those present in old‐growth and adventives colonizing from agricultural land. The forest was very heterogeneous. Vochysia ferruginea‐dominated stands characterized slopes with soils of high exchangeable acidity, while the adventive Cordia alliodora dominated sites with gentler topography and soils of lower acidity. Structural differences between the two forest types were slight, but Cordia forest had significantly greater species diversity and absolute and relative abundances of vertebrate‐dispersed tree species than Vochysia forest, which had significantly greater absolute and relative abundances of wind‐dispersed tree species. These latter differences between forest types, as well as the wide structural variation of the forest as a whole, were probably largely due to spatial and temporal variation in seed rains, some of it linked to the characteristics of the dominant species. Rain forest restoration on large pastures may depend greatly on wind dispersal and adventive tree species, and techniques for silvicultural diagnosis must be developed as a basis for the management of heterogeneous successional stands. Studies of early colonization of pastures should be expanded to focus on the causes of heterogeneity in older forests.
Top-Down Silicon Nanowire FETs for Biosensors

We demonstrated silicon nanowire (SiNW)complementary metal-oxide-semiconductor (CMOS) hybrid biosensors for voltage output on a 6” siliconon-insulator wafer using a wafer-level top-down process with a conventional back-end process. Firstly, SiNW-CMOS hybrid common-source amplifier biosensor shows the voltage-defined sensitivity can be individually controlled and maximized by the gate voltage of the metal-oxide-semiconductor field-effect transistor (MOSFET). Secondly, complementary SiNW biosensor exhibits an output voltage swing of 162 mV/pH which is 1.6 times larger than single SiNW sensor counterparts with a resistive load. Therefore, the proposed circuit and fabrication method is expected to be a promising solution for a very sensitive voltage readout scheme for the mass production of biosensors.
Leukocyte Membrane-Coated Liquid Metal Nanoswimmers for Actively Targeted Delivery and Synergistic Chemophotothermal Therapy

We report a leukocyte membrane-coated gallium nanoswimmer (LMGNS) capable of ultrasound-propelled motion, antibiofouling, and cancer cell recognition and targeting. The LMGNS consists of a needle-shaped gallium core encapsulating an anticancer drug and a natural leukocyte membrane shell. Under the propulsion of an ultrasound field, LMGNSs could autonomously move in biological media with a speed up to 108.7 μm s−1. The velocity and motion direction of the LMGNSs can be modulated by regulating the frequency and voltage of the applied ultrasound field. Owing to the leukocyte membrane coating, LMGNSs can not only avoid biofouling during the motion in blood but also possess cancer cell recognition capability. These LMGNSs could actively seek, penetrate, and internalize into the cancer cells and achieve enhanced anticancer efficiency by combined photothermal and chemical therapy. Such biofunctionalized liquid metal nanoswimmer presents a new type of multifunctional platform for biomedical applications.
Evaluating the self‐initialization procedure for large‐scale ecosystem models

Self‐initialization routines generate starting values for large‐scale ecosystem model applications which are needed to model transient behaviour. In this paper we evaluate the self‐initialization procedure of a large‐scale BGC‐model for biological realism by comparing model predictions with observations from the central European virgin forest reserve Rothwald, a category I IUCN wilderness area. Results indicate that standard self‐initialization towards a ‘steady state’ produces biased and inconsistent predictions resulting in systematically overestimated C and N pools vs. observations. We investigate the detected inconsistent predictions and use results to improve the self‐initialization routine by developing a dynamic mortality model which addresses natural forest dynamics with higher mortality rates during senescence and regeneration vs. lower mortality rates during the period of optimum forest growth between regeneration and senescence. Running self‐initialization with this new dynamic mortality model resulted in consistent and unbiased model predictions compared with field observations.
Optimization of Reinforced Concrete Beams and Steel Beams: A Comparative Study

In order to support the structural designer with regard to the selection of structural materials, this work presents results obtained from the optimization of reinforced concrete beams and welded “I” steel beams. To achieve this objective, both problems were formulated according to Brazilian standards, considering the cost as objective function and section dimensions as design variables. For the optimization of the proposed problems, Simulated Annealing optimization algorithm was adopted. Beams were optimized considering spans from 1 up to 25 m and two different loads. To the structures analyzed, the final costs for steel beams have always been higher than reinforced concrete, but concrete beams are significantly heavier than steel beams.