Miracle-dz/UniFAR-FTUs huggingface dataset:
VERIFICATION OF NOWCASTS AND VERY SHORT RANGE FORECASTS

Nowcasts and very short range forecasts differ from most NWP and public weather forecasts in a number of important ways. Nowcasts are mainly (but not exclusively) concerned with high impact weather associated with storms, with potentially very high losses associated with undetected and unwarned severe events. Nowcasts are primarily observationbased, usually based on radar observations. Very short range model forecasts rely on the most accurate and recent observational data to specify the initial conditions. The spatial and temporal resolution of gridded nowcasts and very short range forecasts is typically much finer than that of most NWP to attempt to capture the extreme values experienced in high impact events. The forecasts are often relevant for a relatively small spatial domain such as the coverage of a single radar or the limited area domain of a high resolution mesoscale model. Nowcasts are made much more frequently than most other weather forecasts to take advantage of the rapid update of radar-based information. The observational data used for verification are often asynoptic, coming from storm spotter observations, high resolution gauge and lightning networks, or from the radar analyses themselves. These differences impact the way forecast verification is done and how the verification information is used. In particular, the frequent availability of new radar and other data to verifying recently issued nowcasts and forecasts enables the forecasts to be objectively or subjectively adjusted "on the fly" to reflect the new information. This paper discusses several issues that are particularly important for the verification of nowcasts and very short range forecasts. It is assumed that most readers are familiar with the standard verification scores. Detailed descriptions are found in the textbooks of Wilks (1995) and Jolliffe and Stephenson (2003). An online source of information on standard and new verification methods is the Forecast Verifica-
Isolation, Molecular, and Pathological Characterization of Infectious Bursal Disease Virus among Broiler Chickens in Morocco

1 Division of Pharmacy and Veterinary Inputs, ONSSA, Rabat, Morocco 2 Hassan 2nd Institute of Agronomy and Veterinary Medicine, Rabat, Morocco 3 Biopharma, Rabat, Morocco 4 Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco Mouahid’s Veterinary Clinic, Temara, Morocco Corresponding author’s Email: cheggagmaryame@gmail.com; ORCID: 0000-0002-8093-0149 Received: 20 Jul. 2020 Accepted: 24 Aug. 2020 ABSTRACT
Practical Fine-Grained Binary Code Randomization†

Despite its effectiveness against code reuse attacks, fine-grained code randomization has not been deployed widely due to compatibility as well as performance concerns. Previous techniques often needed source code access to achieve good performance, but this breaks compatibility with today’s binary-based software distribution and update mechanisms. Moreover, previous techniques break C++ exceptions and stack tracing, which are crucial for practical deployment. In this paper, we first propose a new, tunable randomization technique called LLR(k) that is compatible with these features. Since the metadata needed to support exceptions/stack-tracing can reveal considerable information about code layout, we propose a new entropy metric that accounts for leaks of this metadata. We then present a novel metadata reduction technique to significantly increase entropy without degrading exception handling. This enables LLR(k) to achieve strong entropy with a low overhead of 2.26%.
Factors of perceived organizational support: A conceptual study

Perceived organizational support is an important construct in today’s competitive world with established organizational benefits. Such a way it becomes more important to identify the factors of perceived organizational support (Eisenberger &Stinglhamber, 2011). Therefore this article makes an attempt to trace the factors of perceived organizational support and add some value to the present study literature by conducting a systematic review of the existing literature. The purpose of this article is to provide a comprehensive overview of the factors of perceived organizational support. A structured literature review is carried out to identify the critical factors of perceived organizational support. Finally Identified factors of perceived organizational support from previous studies have been summarized to explain the current state of the concept.
Bioinformatics Tools: Alternative Approach for Poly Cystic Ovary Syndrome (PCOS) Detection

Poly cystic ovary syndrome (PCOS) is a complex endocrine disorder prevailing among women of reproductive age, specifically high in teenage girls and has become the most accepted cause of menstrual irregularities and infertility among them. In a study by Parthap et al., 2018, at Department of Gynaecology, Vinayaka Missions Kirupanada variyer Medical College, Salem, India, it was found that, there were 100 patients who had confirmed diagnosis of PCOS. It has also been observed that medication create side effects in young women. Therefore, it was thought to explore an alternative approach for disease detection, prevention or treatment for PCOS with the help of bioinformatics. Bioinformatics is an expanding field of science involving biology, computer science and mathematics. It is growing in every field of life science including molecular sciences, biotechnology, medicine, agriculture and more. Genetic information stored in the bioinformatics tools can be used to develop personal medicine. In an another study, it is said that although the genetics and mechanism of PCOS are not yet understood, the computational tools may be helpful in finding the cause of this syndrome and this will also help in prevention of the disease. In the present study, the gene and genome sequences responsible for causing PCOS have been identified using bioinformatics tools like BLAST, PDB, NCBI. This will help to prevent the disease by genetic manipulations. Finally, the primers have been designed using primer designing tools in NCBI which can be further used for the treatment of the disease by manipulating the identified gene through polymerase chain reaction.
SHORT TERM WIND GENERATION FORECAST AND OPTIMAL WIND FARM MAINTENANCE SCHEDULES MODEL-ELAEE

Wind farms must periodically take their turbines offline in order to perform scheduled maintenance repairs. This interruption impacts the energy generation of the wind farm, so ideally, maintenance should be scheduled for periods with the lowest wind speeds, which for the Brazilian NE region, occurs between March and May. In addition, in order to fulfill contractual obligations, any shortfall in energy production must still be covered by purchasing energy in the spot market, which is volatile. Thus, determining the optimal time to begin maintenance work in a wind farm is a function of both the expected wind speeds and electricity spot prices. In this article we develop a model to determine the optimal maintenance schedule in a wind farm based of forecasted wind speeds and energy prices. We analyze a window of 15 weeks in the most likely period of the year, and perform weekly updates of expected wind speeds and energy price forecasts. Wind speeds are forecasted an (ARMAX) model, where monthly dummies are used as exogenous variables to capture the seasonality of wind speeds. Spot prices are simulated under the Newave dual stochastic programing model for a 15 week period beginning in March. The optimal stopping decision is modeled as an American type real option in a modified ABM binomial lattice. We use actual data from a wind farm in the Brazilian NE, and will compare our results with the current practice and also with maintenance scheduling with perfect information, in order to determine the efficiency of the model.
Bacillus amyloliquefaciens STRAINS WITH BIOCONTROL POTENTIAL AGAINST Fusarium spp. WHEAT PATHOGENS

Wheat contamination with fungi leads to quantitative losses and qualitative depreciation due to mycotoxins accumulation. Currently there are no Fusarium-resistant wheat cultivars. There are only medium tolerant varieties to such infections. In the present study, several Fusarium spp. pathogens were isolated from wheat debris and kernels harvested in 2017 from different lines of Triticum aestivum obtained in the experimental field of NARDI Fundulea. Fungal cultures were identified at genus level based on their microscopic and cultural characteristics on different nutrient media. Fungal growth inhibition of these pathogens was studied in vitro, using strains of Bacillus amyloliquefaciens (BIR, BPA, OS17 and BW) with biological control potential. The biocontrol efficacy, established by biometric measurements, was in the range of 61.9 to 84.4%. Further studies are required to determine the in vivo effects of these biocontrol bacteria on wheat plants.
An innovative approach to School-Work turnover programme with Educational Robotics

Questo articolo presenta un approccio innovativo all’Alternanza Scuola-Lavoro basato sulla Robotica Educativa e sul project-based learning. All’inizio del 2017 (da gennaio ad aprile), il Liceo Volta-Fellini di Riccione ha proposto ai propri studenti un’attività pratica connessa alle STEM, come Alternanza Scuola-Lavoro. Questo corso di Robotica è stato progettato e sviluppato da TALENT srl e dall’Università Politecnica delle Marche con 3 obiettivi principali: accrescere l’interesse verso le discipline STEM, migliorare la capacità degli studenti di lavorare in gruppo, accrescere la consapevolezza degli alunni verso i propri processi cognitivi attraverso la valutazione dell’Alternanza. Sono state coinvolte 6 classi, 3 dell’indirizzo Scientifico e 3 dell’indirizzo Scienze Applicate. Il raggiungimento degli obiettivi è stato determinato raccogliendo dati dagli studenti per mezzo di questionari di autovalutazione; gli studenti hanno espresso il loro livello di accordo alle domande del questionario con una scala Likert a 5 punti: ogni gruppo di domande associato ad uno specifico obiettivo con una media maggiore di 3 permette di considerare quella finalità progettuale raggiunta. Avendo ottenuto come medie per ogni obiettivo 4.1, 3.5 e 3.6 i tre scopi si considerano conseguiti.
THE EFFECT OF SOME ALS INHIBITING HERBICIDES IN CHAMBIC CERNOZEM SOIL

The herbicides with ALS (inhibiting the enzyme acetolactate synthase) are rather unique in their ability to control weeds through both foliar uptake and through root uptake as they are also biologically active in soil. This provides control of both emerged weeds and those that emerge after time of application. Other benefits include low application rates and low mammalian toxicity. Carryover of a herbicide beyond the year of application can be of benefit in controlling weed growth in subsequent years, but can also be of concern in causing injury to sensitive crop species that may be grown in the years following application. The paper present the results concerning the study on the residual effect of some herbicides (inhibiting the enzyme acetolactate synthase ALS) applied for weed control in sunflower crops in relationship with the climatic conditions. The phytotoxicity and persistence of the herbicides in soil was assessed using the mustard root inhibition bioassay. In earlier stage of mustard vegetation the treatments withimazamox herbicide had a residual effect, but over time this effect was significantly reduced. The chemical composition of the soil was not affected by the applied herbicides. The results indicate that for wheat was not residual effect for any of treatments used.
Serum levels of ischemia-modified albumin and prolidase in migraine subjects

Bulgular: Migren (34 kadın, 1 erkek) grubunda ortalama yaş 40,06±11,14 kontrol grubunda (31 kadın, 4 erkek) ortalama yaş 34,31±8,26’dı. Gruplar arasında yaş ve cinsiyet açısından anlamlı farklılık izlenmedi (p=0,08, p=0,29). Migren grubunun atak dışı dönem İMA ve prolidaz düzeyleri kontrol grubundan istatistiksel olarak anlamlı yüksekti (p=0,02, p<0,001). Atak döneminde prolidaz kontrol grubuna göre anlamlı yüksekti (p<0,001) ancak İMA düzeylerinde anlamlı farklılık izlenmedi (p=0,34). Migrende atak dönemindeki İMA ve prolidaz düzeyleri atak dışı döneme göre yüksekti ancak anlamlı farklılık gözlenmedi (p>0,05).
Maternal Inheritance of Yellowfin Tuna (Thunnus albacares) in Captivity

Mitochondrial DNA introgression has been suggested to be responsible for the maternal consistent implications. Study on mt-DNA (mitochondrial DNA) variation in the yellowfin tuna (Thunnus albacares) using RFLP (restriction fragment length polymorphisms) has provided the evidence of maternal inheritance of yellowfin tuna in captivity. Eggs were collected in every spawning in 2004-2006 season. The mt-DNA genotypes of broodstock were compared with their eggs and the maternal inheritance of these females was determined from genotypes in the eggs. The result showed that six genotypes of female broodstock were observed in eggs and four of them were found to share a single female's identity and one type was shared by two females. The same genotype was observed in almost every sampling throughout the year. The female broodstocks spawned almost daily throughout the season.
Canopy Parameters in Coffee Orchards Obtained by a Mobile Terrestrial Laser Scanner

The application of mobile terrestrial laser scanner (MTLS) has been studied for different tree crops such as citrus, apple, olive, pears and others. Such sensing system is capable of accurately estimating relevant canopy parameters such as volume and can be used for sitespecific applications and for high throughput plant phenotyping. Coffee is an important tree crop for Brazil and could benefit from MTLS applications. Therefore, the purpose of this research was to define a field protocol for MTLS data collection in commercial coffee orchards and evaluate the spatial variability of canopy parameters. A LiDAR sensor and a RTK-GNSS was used for data acquisition. Two coffee orchards were scanned by a MTLS to test the proposed protocol. The data obtained were processed to generate 3D point clouds of the orchards. Canopy volume and height maps were generated for one of the fields. A minimum distance between the sensor and the canopy of 1m was determined based on the sensor scanning properties. A metal structure was constructed and attached to the three-point hitch of the tractor creating an offset between the sensor and the tractor. Such a design allowed the sensor to be at least 1 m from the canopy. The point clouds showed that for both fields the sensor was able to scan the entire coffee plants. The coefficients of variation of volume and height were 6.5% and 15.7%. The canopy volume and height maps showed that there was spatial variability in the field. Furthermore, according to the geostatiscal analysis, the spatial dependence was limited to short distances. Consequently, the use of sensors such as LiDAR should be preferred over sampling methods for a good representation of the orchard spatial variability.
ANALYSIS OF BRAZILIAN SOLAR IRRADIANCE DATA: CHARACTERISTIC CURVES OF EACH NATIONAL GRID’S SUBSYSTEM

Overview The growing energy demand, allied to the fact anthropic activities depend heavily on fossil fuels, has been altering the characteristics of the global climate systems. As new technologies appear it’s paramount to understand their behaviour, benefits, applicability and limitations in order to best harness it’s potential. This paper aims to characterize Brazil’s solar radiation throughout the country, grouped by the subsystems used by the Brazilian electrical system operator (ONS). The data used consists of five years of hourly kJ/m data from 26 cities spread throughout the country. The data is treated, screened for outliers using Grubb ́s method, analysed and presented in the form of curves. This data can help better understand the role solar energy can take in the country’s supply.
Abundance and distribution of the swimming crab Callinectes danae Smith, 1869 (Crustacea, Decapoda, Portunidae) in the Ubatuba region, southeastern Brazil

Abstract This study analysed the spatio-temporal distribution of Callinectes danae considering some environmental factors in three bays in Ubatuba, São Paulo, Brazil: Ubatumirim, Ubatuba and Mar Virado. Sampling was performed monthly (from January 1998 to December 1999) using a shrimp fishery boat provided with double rig nets. Six transects were established in each bay, three being in areas protected from wave action (at 5, 7.5 and 10 m depth) and three in exposed areas (at 10, 15 and 20 m). A total of 3039 specimens were obtained. The distribution of C. danae differed between years, among seasons, bays and transects (K–W; p < 0.05). This species occurred with a higher abundance in the shallow transects of all bays studied. These transects were characterized by substrate composed of fine or very fine sand and by silt and clay, higher values of bottom temperature and lower salinity values. Based on canonical correspondence analysis, the most relevant environmental factors for the spatio-temporal distribution of C. danae, in addition to salinity, were the bottom-water temperature and the sediment texture.
A Negotiation Pricing Model for Innovation Services

Service pricing is a bottleneck in the development of innovation services, as it is the issue 8 of most concern between the suppliers and demanders. In this paper, a negotiation pricing model 9 that is based on the multiobjective genetic algorithm is developed for innovation service pricing. 10 Regarding the service pricing process as a multiobjective problem, the objective functions, which 11 include the service price, service efficiency, and service quality, for suppliers and demanders are 12 constructed. As the solution of a multiobjective problem is typically a series of alternatives, another 13 negotiation process is necessary for determining the final decision. A learning strategy is adopted 14 during the negotiation process to simulate reality. Finally, the model is implemented for an 15 innovation service transaction, the objective of which is to identify the optimal price plan. The 16 results demonstrate that the model can provide quantitative decision support for the pricing of an 17 innovation service and ultimately yield a win-win result for both the supplier and demander of the 18 innovation service. Furthermore, the influence of the parameters during the negotiation process is 19 analyzed in detail. The effects of the learning strategy on accelerating the negotiation process, as 20 well as the chosen of reasonable parameters are given. 21
Parental Influence on Sleep Habits and Problems in Preschool Children

The aim of this study was to evaluate preschool children’s sleep habits, determine parental behaviours that affect these sleep habits, and examine the potential factors that cause sleep problems. 400 children aged 5-6 and their mothers participated in the study. A Child Information Form and Sleep Habits Questionnaire were applied to the mothers. In this way, the children’s resistance to bedtime, delay in falling asleep, sleep duration, sleep anxiety, waking during the night, parasomnias, sleep-disordered breathing, and daytime sleepiness were evaluated. The results of the study revealed that six-year-old children’s scores in the sleep habits and problems scale were higher than those of five-year-olds, and that sleep duration decreased in six-year-olds. In the study, when varieties of sleep problems were examined, it was found that children sleeping in the same bed as their parents had more sleep problems, and that as length of time spent sleeping together increased, sleep problems also increased.
Towards Distributed, Semi-Automatic Content-Based Visual Information Retrieval (CBVIR) of Massive Media Archives

Within our research, we study the possibilities of semi-automatic Content-Based Visual Information Retrieval (CBVIR) for large scale, growing media archives. The growing amount of audio-visual data, shown in table I, poses a challenge to media archives, such as the Dutch National Institute for Sound and Video (NISV) and comparable institutions (BBC, France Télévision). While visual indexing in practice is commonly performed manually, we propose to use Visual Object Classification (VOC) approaches for tagging archived and novel content items with respective labels. Our initial system design in figure 1 is the result of an interdisciplinary workshop (ICT with Industry 2013 ) that connects ideas from Computer Vision, High-Performance Computing and Information Retrieval, based on industry demand. Initial commercial applications (e.g. Orpheus 1 and pixolution 2) provide rudimentary solutions for small datasets.
Emotion Recognition using Human Activity From Smartphone Data

–Social interaction has become an important concern in our daily activities. The social interactions tell us about the emotion and the mental state of a person. Both the body movements and the facial expression of a person can be used to analyses the emotion of a person. Numerous researches have been conducted for analyzing the emotion of a person with the help of face reaction. The proposed project focuses on analyzing the emotion of a person with the help of body movements. These movements will help to find the underlying emotion of a person whenever the face isunclear/occluded. Recognition of human activity is performed first with the help of the data recorded from a smartphone’s sensor such as accelerometer and gyroscope. The data is recorded when the smartphone is attached to the waist of the subject, as this provides accurate results. The human activity recognition is done using the UCI HAR Smartphone dataset which has data recorded from 30 volunteers at age difference of 19-48 years and with 561 measurements variable. After the human activity are identified it is compared with the 2-D stimuli from the dataset and features are extracted from the dataset frame which are preprocessed and matched against the same human activity identified from the smartphone dataset and the extracted features are fed to the KNN and Support Vector Machine (SVM) classifiers to classify the emotion of the human. In this way, a human emotion can be found from the activity recognized from the smart phone data.
Soil carbon: variation across the landscape

Soil carbon sequestration is influenced by soil type, climate, vegetation and management. This paper discusses results from 48 field observations of total carbon concentration and carbon stock in soil from the Monaro and Boorowa regions, south-eastern NSW. Three comparisons were made: soil type (basaltvs granite-derived soil), perennial pasture type (native vs introduced) and climate (summer dominant vs equiseasonal rainfall). Basalt derived soil had a significantly higher (P <0.05) total carbon concentration (g/100g) throughout the soil profile (to 0.70 m) compared with granite derived soil; the mean mass of C (to 0.70 m) was 159 Mg C ha-1 in basalt derived soil 76 Mg C ha-1 in deep granite derived soil and 43 Mg C ha-1 in shallow granite derived soil. However, there was considerable variation within each soil type group. There was no significant difference in the mass of C in soil between native and introduced pastures in either region. There was a significant difference (P <0.05) in C stock due to climate; with deep granite derived soil in the Monaro region containing more C than similar soil in the Boorowa region (76.50 vs 51.80 Mg C ha-1 to 0.70 m). Observations made in this study suggest that sequestration of C in soil under perennial pastures is largely driven by soil type and climate. The variation in C stock within a given soil type and climate suggest that there is some potential for management to increase the amount of organic matter in soil in the Monaro and Boorowa regions.