Miracle-dz/UniFAR-FTUs huggingface dataset:
A Consensus-Based Cooperative Control of PEV Battery and PV Active Power Curtailment for Voltage Regulation in Distribution Networks

The rapid growth of rooftop photovoltaic (PV) arrays installed in residential houses leads to serious voltage quality problems in low voltage distribution networks (LVDNs). In this paper, a combined method using the battery energy management of plug-in electric vehicles (PEVs) and the active power curtailment of PV arrays is proposed to regulate voltage in LVDNs with high penetration level of PV resources. A distributed control strategy composed of two consensus algorithms is used to reach an effective utilization of limited storage capacity of PEV battery considering its power/capacity and state of charge. A consensus control algorithm is also developed to fairly share the required power curtailment among PVs during overvoltage periods. The main objective is to mitigate the voltage rise due to the reverse power flow and to compensate the voltage drop resulting from the peak load. Overall, the proposed algorithm contributes to a coordinated charging/discharging control of PEVs battery which provides a maximum utilization of available storage capacity throughout the network. In addition, the coordinated operation minimizes the required active power which is going to be curtailed from PV arrays. The effectiveness of the proposed control scheme is investigated on a typical three-phase four-wire LVDN in presence of PV resources and PEVs.
Transformation of Iranian Melon for Increasing Resistance to Fungal Diseases

Melon (Cucumis melo L.) is one of the most important horticultural crops that fungal diseases are one of factors limiting its production. So, resistant cultivars have particular importance. Chitinase and β-Glucanase are well-known enzymes for increasing plant resistance to fungal pathogens. Thereby, transformation of Khatooni cultivar as the most important melon in Iran was carried out. Gene constructs consisting of the chitinase, β-1, 3 Glucanase, a selector gene (ntpII) and cauliflower mosaic virus (CaMV) 35S promoter were transferred by Agrobacterium. Transgenic plants were regenerated from medium containing kanamycin (25mg/l) cefotaxime (300mg/l) and BAP (1mg/l). The presences of gene constructs were proved by PCR using specific primers. In this study, the efficacy of transgenic shoots in Khatooni cultivar was 2.7 percent.
Time–frequency-based detection of fast manoeuvring targets

The time-frequency representation (TFR) is a powerful tool for analysis of non-stationary signals. In the past decades, TFRs have been primarily devoted to the analysis tasks in the sense that they were introduced so as to depict time-frequency structure of time-varying signals and non-stationary processes in the time-frequency plane. Also, there has been a permanent interest in tackling decision problems by means of TFRs. In this study the authors, present a time-frequency-based detection scheme in the high-frequency surface-wave radar (HFSWR) for the detection of manoeuvring air targets in the presence of noise. Performance of the proposed method is evaluated by using both synthetic and experimental data. In addition, the proposed time-frequency detection scheme is examined in detail with various signal-to-noise ratio. This time-frequency-based detection method is then compared to the Fourier-based detector. Results clearly demonstrate that the time-frequency-based detector can significantly improve detection performance in the HFSWR, as well as add new physical insight, compared to the conventional Fourier-based detector, currently used by HFSWRs.
Analysis of Twitter tweets using supervised classification technique

Making use of social media for analyzing the perceptions of the masses over a product, event or a person has gained momentum in recent times. Out of a wide array of social networks, we chose Twitter for our analysis as the opinions expressed their, are concise and bear a distinctive polarity. Here, we collect the most recent tweets on users' area of interest and analyze them. The extracted tweets are then segregated as positive, negative and neutral. We do the classification in following manner: collect the tweets using Twitter API; then we process the collected tweets to convert all letters to lowercase, eliminate special characters etc. which makes the classification more efficient; the processed tweets are classified using a supervised classification technique. We make use of Naive Bayes classifier to segregate the tweets as positive, negative and neutral. We use a set of sample tweets to train the classifier. The percentage of the tweets in each category is then computed and the result is represented graphically. The result can be used further to gain an insight into the views of the people using Twitter about a particular topic that is being searched by the user. It can help corporate houses devise strategies on the basis of the popularity of their product among the masses. It may help the consumers to make informed choices based on the general sentiment expressed by the Twitter users on a product.
Variability in Transport Pathways and Source Areas of PM10 in Beijing during 2009-2012

ABSTRACTThe transport pathways and source areas of PM10 in Beijing were examined on the basis of a model-assisted analysis. Computed back trajectories were used to trace the air history. The aim of this work was to study the main source areas of PM10, the variability of transport pathways, and potential source areas in Beijing. The results reveal that the major potential source areas of PM10 in Beijing were Hebei, Shandong, Tianjin, northwest of Inner Mongolia, and Outer Mongolia. The main source areas of PM10 have changed from the northwest to the south and southeast of Beijing during 2009–2012. During the study period, the regional contributions of PM10 from Shandong, Tianjin and Henan increased, whereas those from Inner Mongolia and Mongolia decreased compared with 2003–2009. The northwest airflow is a key factor in extreme pollution episodes. Sand storm partly contributed to the PM10 concentration in fast northwesterly transport paths. PM10 concentrations in winter and spring were higher than autumn and summer. In spring and summer, Beijing was strongly affected by long-range transport. Long-range transport had a weaker effect on PM10 concentrations during autumn and winter. The clustering of back-trajectories and PSCF results indicate the need to reduce PM10 transport from areas surrounding Beijing, particularly from the south of Beijing.
The quiescent phase of galactic disc growth

We perform a series of controlled N-body simulations of growing disc galaxies within non-growing, live dark matter haloes of varying mass and concentration. Our initial conditions include either a low-mass disc or a compact bulge. New stellar particles are continuously added on near-circular orbits to the existing disc, so spiral structure is continuously excited. To study the effect of combined spiral and giant molecular cloud (GMC) heating on the discs, we introduce massive, short-lived particles that sample a GMC mass function. An isothermal gas component is introduced for a subset of the models. We perform a resolution study and vary parameters governing the GMC population, the histories of star formation and radial scale growth. Models with GMCs and standard values for the disc mass and halo density provide the right level of self-gravity to explain the age–velocity dispersion relation of the solar neighbourhood (Snhd). GMC heating generates remarkably exponential vertical profiles with scaleheights that are radially constant and agree with observations of galactic thin discs. GMCs are also capable of significantly delaying bar formation. The amount of spiral-induced radial migration agrees with what is required for the metallicity distribution of the Snhd. However, in our standard models, the outward-migrating populations are not hot enough vertically to create thick discs. Thick discs can form in models with high baryon fractions, but the corresponding bars are too long, the young stellar populations too hot and the discs flare considerably.
Performance evaluation and optimization of a high-efficient phonon rectifier

We report rectification enhancement of acoustic waves through a double array of periodic triangular holes embedded in an elastic medium of an acoustic phonon rectifier. We numerically investigate the transmission rates of waves and hence the efficiency of the rectifier using the Finite-Difference-Time-Domain (FDTD) method. We alter the position of the arrays and investigate the optimal position for high-efficient rectification to facilitate practical applications.
Cow behaviour monitoring with motion sensor

It is important to monitor status of dairy cows from an animal welfare and dairy farmer economic point of view, especially for large-scale farming and automatic milking dairies. Cow behavior is an indicator of cow welfare and cow health. In this thesis, data has been gathered from cows in a dairy farm environment and activity recognition has been implemented in order to automatically measure daily rumination time and detect heat in tied-up cows. The goal is a product that must fulfill requirements on accuracy, battery life, robustness and level of detail. Therefore, multiple system aspects have been considered concerning choice of hardware, software and communication.The method included a 2 week period in a dairy farm with sensor data gathering and observation, physically in front of the cows, followed by another 5 week period in another dairy farm with sensor data gathering and observation using surveillance camera. Multiple algorithms and signal features were tested for rumination monitoring and evaluated against each other with respect to sensitivity, specificity and computational load.The conclusion is that the signals required for detecting rumination are available using an accelerometer on the collar and it is possible to reach 96 % sensitivity and 94 % specificity using this sensor data, but the best algorithms are suspected to draw too much energy in order to comply with the requirement of 10 years of battery life in a product. It turned out that an accelerometer on the collar is not feasible for detecting lie-downs and stand-ups as a measure of heat in tied-up cows.The external validity needs to be tested for rumination detection. New methods need to be explored for detecting heat in tied-up cows. Algorithms should be tested on the intended microcontroller so that more thorough analysis can be made with respect to battery life and computational capacity.
Game of Words: prototype of a digital game focusing on oral production (and comprehension) through asynchronous interaction

In this paper, we present a learning game designed according to a strategy focusing on favouring the learners' playful attitude. The game's modalities pertain to what we might call 'guessing games'. The chosen avatar of such guessing games both exists as learning and Commercial Off The Shelf (COTS) board games. We explain in this paper how we adapted them into a digital game, taking decisions prompted by language learning but also addressing technical and contextual issues. We resort to the literature on communicative strategies to justify the expected outcomes of using this game and describe certain feedback stemming from self enrolling user tests performed by language teachers in early 2016. We conclude by describing the next steps in this research.
ERROR LOCALIZATION IN RHIC BY FITTING DIFFERENCE ORBIT

The difference of two trajectories (linear accelerator) or measured orbits (storage ring) should match exactly a betatron oscillation, which is predictable by the optics model, in an ideal machine. However, in the presence of errors, the measured trajectory deviates from prediction since the model is imperfect. Comparison of measurements to model can be used to detect such errors. To do so the initial conditions (phase space parameters at any point) must be determined which can be done by comparing the difference orbit to prediction using only a few beam position monitors (BPMs). The fitted orbit can be propagated along the beam line based on the optics model. Measurement and model will agree up to the point of an error. The error source can be better localized by additionally fitting the difference orbit using downstream BPMs and back-propagating the solution. If one dominating error source exist in the machine, the fitted orbit will deviate from the difference orbit at the same point [1]. ALGORITHM In either a transport line or a storage ring, the beam trajectory in either transverse plane (neglecting coupling) can be expressed by the transfer matrix and initial conditions, z(s) = √ βs βi (cos (φs − φi) + αi sin (φs − φi)) · zi + √ βsβi sin (φs − φi) · z′ i, (1) where βs, βi, φs, φi are the beta functions and phase advances at position s and initial position i; αi is the initial alpha and z represents either the horizontal (x) or vertical (y) motion. The following algorithm may be applied to both beam trajectories in a linear transport line and to closed orbits in storage ring, which afterwards we will refer to as “orbit”. The difference of two orbits comply with z = M11 · zi +M12 · z′ i, with M11 = √ βs βi (cos (φs − φi) + αi sin (φs − φi)), M12 = √ βsβi sin (φs − φi). By selecting a fitting range from the mth BPM to the nth ∗The work was performed under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy. † cliu1@bnl.gov BPM, a set of linear equations follows, ⎪⎪⎪⎨ ⎪⎪⎩ zm = M 11 · zi +M 12 · z′ i zm+1 = M 11 · zi +M 12 · z′ i . zn = M 11 · zi +M 12 · z′ i (2) Using a least-square fit for minimizing the merit function f = n ∑ k=m ( zk −Mk 11 · zi +M 12 · z′ i), we obtain the initial conditions as ⎪⎪⎪⎪⎪⎪⎨ ⎪⎪⎪⎪⎪⎩ zi = n ∑
Microscopic techniques to study cytoskeletal dynamics in neurons

Development of PC in roller-tube cerebellar slices of rats at postnatal day 10 cultured for 6 up to 20 days was similar to cerebellar maturation in situ, as revealed by Golgi-Cox impregnation and electron-microscopy. Characteristically in slicecultures PC were organized as a band of neurons with dendritic arborization arising from a stem-dendrite. Along the dendrites numerous spines with prominent chemical synapses were clearly identified by electron microscopy. After cryofixation and rapid-freeze deep-etching actin filaments were clearly visible in dendritic spines, while the dendritic root was filled with microtubules, neurofilaments and endoplasmic reticulum. Time-lapse imaging showed rapid forward, backward and sideward motion of YFP-actin labeled dendritic spines. Following colchicine treatment no impairment of dendritic spine dynamics was observed, whereas incubation with cytochalasin D or latrunculin A stops this action. Furthermore, no anterograde and retrograde movement of YFP-actin was detected along the dendritic shaft. Instead after photobleaching the YFP-actin fluorescence signal returned at the point of origin within four minutes, reflecting de novo synthesis of actin nearby or within dendritic spines. Hence, this study gives significant insight into actin driven dynamics and the kinetics of actin turnover within spines of cultured PC.
The French Maritime Pine Bark Extract Reduce Metabolic Syndrome Risk and Improve Body Composition in Obesity: A New Clinical Approach

Metabolic syndrome is a cluster of conditions which enhance the risk of metabolic and cardiovascular diseases such as diabetes mellitus, dyslipidemia, or hypertension. Obesity plays a pivotal role in the pathogenesis of metabolic syndrome. French maritime Pine bark extract (PBE) in addition to its antioxidant properties, has protective effects on metabolic syndrome component through several mechanisms. At present, there are few data on the net impact of PBE on metabolic syndrome factors in obesity. This trial report the results of 2-month period supplementation of 38 obese women received weight loss diet and PBE (150mg/day) or placebo. The metabolic syndrome parameters and body composition were assessed at the beginning and end of the study. The results showed PBE has significant protective effects on metabolic syndrome factors including central obesity, TG, HDL, BP and FBS ( P <0.05), decrease metabolic syndrome risk in obesity and improve body composition. Thus, The PBE is considered as a new approach to obesity and metabolic syndrome prevention.
Theoretical Investigation on Solvent Dependent Shift and Electronic Transition Properties of Certain Schiff Bases

Bu calisma kapsaminda; bazi o-hidroksi turevi Schiff bazi bilesikleri sentezlenmis, yapilari spektroskopik teknikler ile aydinlatilmistir. Bu bilesikler ve olasi tautomer yapilari gaz ve polar cozucu varliginda DFT yontemi B3LYP/6-311g (2d,2p) seviyesinde, incelenerek kararli tautomer yapilari belirlenmistir. Kararli tautomer formlarinin DFT yontemi B3LYP/6-311g(2d,2p) seviyesinde, UV spektrumlari hesaplanarak cozucuye bagli kayma ve elektronik gecis ozelliklerinin ve HOMO-LUMO degerleri hesaplanarak bilesiklerin olasi molekuler elektronik ozellikleri belirlenmistir.
Isolation and characterization of native Bacillus thuringiensis isolates from Saudi Arabia

A total of 500 soil samples were collected from different localities across the kingdom to isolate native Bacillus thuringiensis (Bt) strains. Sodium acetate- (0.25 M) -selection heat-pasteurization, and 50% ethanol treatment methods were used for Bt isolation. Phenotypic characterization and identification of recovered Bt isolates was accomplished on the basis of morphological characteristics of colonies, parasporal crystal, and spores, as well as hemolytic activity, motility, susceptibility to antibiotics, and carbohydrate utilization (API 50CH system). Analysis of 16S rRNA gene was performed to further confirm Bt species identity and differentiate the spore-forming bacilli. Bioassay tests were conducted on larvae of Aedes caspius and Culex pipiens . Based on results, a total of 64 Bt isolates were recovered and the overall Bt index corresponding to the whole sampling areas was 0.25. Most of Bt isolates showed spherical crystals (56%), while, irregular, bipyramidal, and attached crystal to the spores constituted 14, 10 and 6% respectively. The most common biochemical type (31%) was as that of the reference Bt subsp. kurstaki (Btk). The 16S rRNA gene analysis, using the universal primer, provided an efficient identification of Bt isolates and their discrimination from the closely related Bacillus cereus , as well as from other spore forming bacilli. Bioassay showed that only one Bt isolate exhibited anti-diptera activity similar to Btk strain while most of the native Bt isolates exhibited weak (<30% mortality) or non insecticidal activity. However, results of motility, hemolytic activity, antibiotic-susceptibility patterns, and crystal shape, seem to suggest that many of our Bt isolates may exhibit parasporins activity. Key words: Bacillus thuringiensis , parasporal crystal, isolation, biochemical type, insecticidal, cry gene, mosquitoes.
One Cycle Control of Bridgeless BuckConverter

Analysis and design of a voltage doubler bridgeless buck converter is performed during the course of project and hardware implementation of a prototype was done during this period. Voltage doubler bridgeless buck converters can be used in switched mode power supplies as rectification as well as power factor correction circuit. Conventional switched mode power supplies contains a bridge rectifier followed by power factor correction circuit and second stage dc to dc converters for generating the required dc voltage.Bridgelesss voltage doubler circuit combines both the rectifier and power factor correction circuit to a single circuit, the output of which is double the voltage produced by a single buck converter [3] used as pfc circuit. This circuit consists of two buck converters connected in parallel in series out manner. The total output obtained is the sum of voltage across each capacitor of the buck converters which are operating during positive and negative half respectively. MOSFET is used as the switching device of the buck converter Usually pulse width modulation technique is used for switching operation and clamped current mode control is used for controlling the buck converter. In this paper ,a new control method called One Cycle Control is used for controlling the buck converter during both half of supply voltage. This method is a non linear control technique to control the duty ratio of the switch in real time such that in each half cycle the average value of the chopped waveform is made equal to the reference value. This method provides greater response and rejects input voltage perturbations.Simualation of the circuit employing One Cycle Control is done in MATLAB/SIMULINK . A prototype of voltage doubler buck converter generating a dc voltage of 12V operating at a switching frequency of 65kHz is developed. The gating signals are generated by microcontroller ATMEGA16 and the program is written in C language.PWM switching technique is used here as implementation of One Cycle Control required a better controller. The results obtained are also presented in this paper.
Data Mining Approaches to Analyze Road Traffic Accident Data

48 Abstract— In recent years, the number of traffic accidents, especially severe vehicle crashes has been increasi ng because of rapid growth of volume of road traffic and rapid increase in speed of road traffic. The costs of fatalities and i njuries due to road traffic accidents have raised great concern ac ross the globe. Road traffic accident data are huge, heterogeneous and multidimensional. Data mining techniques have been applied to analyze road traffic data to identify various factors that influence injury severity, and to device road safet y measures and strategies that reduce number and severity of road traffic accidents. This paper presents different data mining approaches to mine road traffic accident data.
EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model

The problem of mining all high utility sequences ( HUS ) in a quantitative sequence database (QSDB) has attracted the attention of many researchers. It has many applications such as identifying highly proﬁtable purchase patterns of customers in retail stores. However, a sequence (pattern) may appear multiple times in the same input sequence. To handle this situation, most studies adopt an optimistic perspective as they measure the utility of a sequence as the maximum utility among its occurrences. As a result, the utility of a pattern may seem higher than it actually is. Hence, taking business decisions on the basis of a pattern found by traditional high utility sequence mining algorithms may be risky. To address this issue, this paper proposes to adopt a pessimistic model for measuring the utility of patterns, using a novel measure called the minimum utility measure ( u min ). Although discovering patterns using u min is desirable to reduce risks for decision-making, designing an eﬃcient algorithm to ﬁnd patterns using this measure is challenging. The reason is that u min does not satisfy the downward closure property (DCP) generally used to reduce the search space in sequence mining. To overcome this challenge, two novel upper bounds on u min are proposed, which are tighter than the well-known sequence-weighted utility upper-bound, and satisfy anti-monotone-like properties that can be weaker than the DCP. Based on these properties, two novel depth and width pruning strategies are designed to eliminate low utility candidate sequences from the search space early. These theoretical results are the basis of a novel algorithm named EHUSM (Eﬃcient High Utility Sequence Mining) for eﬃciently mining all high utility sequences using u min . Experimental studies on both real-life and synthetic QSDBs show that the proposed algorithm is eﬃcient in terms of runtime and memory.