Miracle-dz/UniFAR-FTUs huggingface dataset:
FACT - Highlights from more than Eight Years of Unbiased TeV Monitoring

Universität Würzburg, Institut für Theoretische Physik und Astrophysik, Würzburg, Germany ETH Zurich, Institute for Particle Physics and Astrophysics, Zurich, Switzerland TU Dortmund, Experimental Physics 5, Dortmund, Germany University of Geneva, Department of Astronomy, Versoix, Switzerland 5 also at: III. Physikalisches Institut A, RWTH Aachen University, Aachen, Germany E-mail: dorner@astro.uni-wuerzburg.de
Application of Deep Learning to Autonomous Robotic Car

Autonomous machines are becoming prevalent, even more so the advent of autonomous vehicles. While autonomous cars have been around for some time, the endless innovations in this domain have led to the removal of human-in-the loop, hence constantly seeking to remove human input while delivering optimal result. However, safety is a major concern, and users are wary of leaving safety level decisions to machines. There is a rise in road accident caused by autonomous cars, while some have blamed it on human’s total trust in machines, and researchers have called for the development of human-level accurate algorithms to tackle decision making using state-of-the-art techniques. Therefore, this paper seeks to use computer vision leveraging on deep learning techniques to detect pedestrians, traffic signs, important objects, and lane lines to infer crucial driver decisions.Mask R-Convolutional Neural Network (CNN) was used for object classification with the aid of transfer learning saving the hassle of training and GPU times. A simple method for collecting data was applied using a wide-anglecamera and using Google TPU to perform real time object recognition without the need for a GPU enabled machine.
Investigation of factors associated with overweight and obesity prevalence in secondary school students

The purpose of this study is to investigate whether the time spent on viewing television and using computer is associated with overweight and obesity among 11to 14-y-old Turkish secondary school students'. This study was carried out in 5th, 6th and 7th grades of two secondary schools in Zonguldak province in 2016. A total of 476 students, 52.3% (n = 249) female and 47.7% (n = 227) male, between the ages of 10 and 13 and continuing to secondary school, participated in the study. The data of the study were collected with the "Personal Information Form" and body mass index (BMI) measurements were made with the bioelectric impedance analyzer system. According to the results of current study; 20% of secondary school students were found to be overweight and extremely overweight. Extremely overweight children used computers for >2 hours a weekday is 1.55 times, watched TV is 1.67 times higher than normal children. Although the frequency of overweight is higher in female secondary school students than in male, overweight or obesity in both genders is a serious threat to health.
Discovery of TXS 1515-273 at VHE gamma-rays and modelling of its Spectral Energy Distribution

INFN MAGIC Group: INFN Sezione di Bari and Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari,I-70125, Bari, Italy Finnish MAGIC Group: Finnish Centre for Astronomy with ESO, University of Turku,FI-20014 Turku, Finland Ruhr University Bochum, Universitätsstraße 150, D-44801 Bochum, Germany INAF Istituto di Radioastronomia, I-40129 Bologna, Italy ETH Zürich,CH-8093 Zürich, Switzerland 5 Department of Physics and Astronomy, University of Turku,FI-20014 Turku, Finland INFN Sezione di Perugia,I-06123 Perugia, Italy E-mail: serena.loporchio@ba.infn. it
Targeting Reputation: A New Vector for Attacks to Critical Infrastructures

A substantial portion of critical information infrastructures in advanced economies comprises former public utilities, which in the 1980s/90s were fully or partially privatized, a change justified mainly on economic efficiency grounds. This entailed that these utility companies had to compete in the free market, thus being exposed to the same risks/opportunities as private companies. Much like businesses in other industrial sectors, utility companies have increasingly joined social media over the last decade, as „digital‟ visibility through social networking platforms, such as Facebook, Twitter, and Instagram has become fundamental. The new (privatized) utilities have relied on marketing and ad campaigns to promote their business and generate revenues. Trust and reputation for companies are primary resources to attract new customers and/or keep old ones, especially for companies with a wide customer base. Trust and reputation are difficult assets to preserve on social media, as they can be subject to negative attacks, including fake campaigns. This paper is a probe that explores a potential attack vector to critical infrastructures via weakening customer and investor trust in (the now private) utilities by blemishing CII-utilities‟ reputation on social media. More specifically, the paper considers the possibility of attacks that have the potential to undermine the stability and reliability of critical infrastructures and advances a preliminary justification of why that may happen. We do this by looking at cases in which negative social media campaigns with fake content have been successfully implemented via digital tools.
Transient Source for the Highest Energy Galactic Cosmic Rays

We show that the dipole anisotropy of CRs above 1 EeVmeasured by the Pierre Auger Observatory is well described as the sum of the contribution of an extragalactic population of CRs (ECRs) plus CRs from a Galactic source. Above 8 EeV the CRs are almost exclusively extragalactic and the ECR anisotropy is well constrained by data; the energy dependence of the dipole is weak and well-understood theoretically. Modeling the spectrum and composition of CRs above 1 EeV reveals two disjoint rigidity groups, attributable to ECR and GCR populations. This enables the relative contributions of GCRs and ECRs to the total flux in each energy bin to be determined. Thus the ECR dipole in the region containing both ECR and GCRs can be removed, allowing us to isolate the dipole anisotropy of the highest energy Galactic CRs. The dipole of these highest energy GCRs is inconsistent at greater than 6σ with being toward or away from the Galactic center, disfavoring acceleration in the Galactic termination shock and preferring acceleration in a transient event whose longitude we constrain: L ≈ 70◦ ± 20◦. The amplitude α of the high-energy GCR dipole is ≈ 0.05, which leads to an estimate for the distance/time since the event, using α ≈ r/(2ct) ≈ 0.05. A candidate remnant of the transient is identified: SNR G65.3+5.7. This SN occurred about 800 pc away, about 20 kyr ago. This single transient event can be responsible for the entire local population of CRs with energies ranging over the bins 0.25-0.5 EeV to 4-8 EeV, with only a tiny fraction of the overall energy of the transient explosion being in VHE CRs. The pulsar PSR J1931+30 may also be a relic of the event; if so, it would confirm the core-collapse nature of the SN. Most massive young stars are in binary systems. We thus propose that the highest energy GCRs were accelerated when the shock created by a core-collapse supernova collided with the wind of its massive binary companion. From the rate of core collapse SNe and the fact that massive stars are generically in binaries with other massive stars, we estimate the probability of seeing an event close enough in space and time to give the observed flux and an anisotropy as large or larger than observed to be O(0.1 − 1).
Tobacco Rattle Virus Vector-Based Virus Induced Gene Silencing-Optimization of A Functional Genomics Tool for Hevea Brasiliensis using Reverse Genetics Approach

Hevea brasiliensis, an economically important industrial crop producing latex of commercial utility is widely cultivated in Southeast Asia. Various biotic and abiotic stresses affect plant growth and latex production, resulting in significant economic loss. A detailed knowledge of molecular defense signalling mechanism is essential to manage these stresses, which can be acquired through in planta studies. Establishment of an in planta functional genomics platform via stable plant transformation is difficult in non-model plants. In this study we optimized the technique of Virus Induced Gene Silencing (VIGS), an alternative approach to knockdown the gene function to study its functional role. Virus-induced gene silencing has been shown to be an effective tool for investigating gene functions in herbaceous plant species, but has rarely been applied in trees. The VIGS strategy relies on the recombinant virus vector carrying an inserted partial sequence of a target plant gene to initiate RNA-mediated Post-Transcriptional Gene Silencing (PTGS), leading to transcript suppression of corresponding homologous gene within the plant. In the present study, a Tobacco Rattle Virus (TRV) based VIGS system was optimized in H. brasiliensis for gene functional validation using Phytoene Desaturase (PDS) endogenous gene as a reporter. Various parameters such as age of the plant, concentration of inoculum, method of infiltration and time needed for effective silencing after treatment were optimized. To construct TRVPDS vector, a 340 bp Hb:PDS gene was amplified from H. brasiliensis cDNA using primers designed from sequence of H. brasiliensis PDS gene already available and transferred to Agrobacterium. Out of the three agroinfiltration methods attempted, syringe infiltration method displayed significant down regulation of PDS gene expression. Young plants with 3 to 4 leaves infiltrated with an inoculum concentration, OD600 of 1.0 showed photo bleached phenotype with reduced expression of PDS gene, three to four weeks of post agroinfiltration. The optimized VIGS protocol can be used as
CEG_A_208020 131..139

Department of Systems Medicine, University of Rome “Tor Vergata”, Rome, Italy Abstract: Crohn’s disease (CD) and ulcerative colitis (UC), the main forms of inflammatory bowel disease (IBD) in human beings, are chronic relapsing-remitting disorders of the gastrointestinal tract, which usually require lifelong therapies. For many years, IBD have been managed with corticosteroids, aminosalicylates and immunosuppressants (ie, thiopurines). The advent of biologic therapies (anti-TNF-α agents) has significantly improved the outcome of IBD patients in terms of prolonged clinical remission, corticosteroid sparing, achievement of mucosal healing and prevention of disease-related complications. Nevertheless, primary failure or loss of response to biologics occur in about 50% of patients treated with these drugs. Therefore, the need for new effective treatments for such patients has critically emerged as an urgent priority. With this regard, several small-molecule drugs (SMDs) targeting lymphocyte trafficking (ie, sphingosine-1-phosphate receptor modulators) and the JAK/STAT pathway (eg, tofacitinib) have been recently developed and tested in IBD. In particular, JAK inhibitors are oral compounds characterized by short half-life, low antigenicity and the ability to dampen several pro-inflammatory pathways simultaneously. Tofacitinib, a pan-JAK inhibitor, has shown good efficacy and safety in UC clinical trials and has been recently approved for the treatment of UC patients. In this review, we analyze the main evidence supporting the use of JAK inhibitors in UC and explore the unanswered questions about the use of this class of drug in UC.
Who Is Contributing to Academic Research on Blockchain Oracles? A Bibliometric Analysis

With the advent of smart contracts, the benefits of decentralization offered by distributed ledger technologies could be implemented in sectors other than cryptocurrencies, such as Healthcare, Supply Chain, and Finance. Smart contracts, however, need oracles to fetch data from the real world, which, on the other hand, do not offer the same characteristics of decentralization as blockchain. Despite their importance, research on oracles is still in its infancy, and academic contribution on the subject is scarce and sporadic. With a bibliometric analysis, this study aims to shed light on the institutions and authors that are actively contributing to the oracle literature with the aim of promoting progress and cooperation. The study shows that although there is still a lack of collaboration worldwide, there are authors and institutions working in similar directions. On the other hand, it can be observed that most of the areas of research are poorly addressed while others are even uncovered.
Autonomous Vehicle Safety and Deployment: Lessons from Human Crashes

Traffic crashes claim more than 36,000 lives every year in the US, with economic costs amounting to $836B. Autonomous vehicles (AVs) promise to usher in a future with near-zero crashes. It seems likely that widespread deployment of AVs will eliminate the large number of crashes caused by impaired, distracted or reckless drivers. However, it is unclear whether AVs will be able to avoid a significant fraction of the remaining crashes for which no driver is directly responsible. As such, deploying AVs without adequately assessing their safety capabilities might lead to an increase in crashes rather than a reduction. In this paper, we discuss how an analysis of human crashes can provide insights about the types of crashes that remain challenging for AVs and the role of connected infrastructure in addressing them. We also discuss how human crashes and driving data can be valuable in inferring safety capabilities of AVs in diverse driving contexts. Based on these observations, we provide suggestions for policies and regulations governing the deployment of AVs.
Motivation in language learning and teaching

People have several different reasons to learn a foreign language; people often learn a language for practical reasons while others have a particular love for the language and its people. Language teachers are often very aware of the career benefits that language proficiency can offer, but learning the language is just an abstract undertaking needed for an academic degree to many language learners. Motivation and management of our own behaviour are necessary for effective learning. It is not easy, for example, to lose weight or quit smoking. Nonetheless, many people do well, lose weight and quit smoking because they are motivated to accomplish a particular goal. The purpose of learning is to find and apply the most effective way. If a teacher has a strong methodology and motivation, he will achieve his goal. The primary duty of the teacher is to give his students adequate encouragement. People do not learn a subject with their brains alone; other factors are also involved. Motivational factors make the learner more receptive to new information. Students do not learn in the same way. Different students learn in different ways; some students learn by listening, some by writing and some by actively speaking. If a teacher adopts the same method for all students, then some students will not be able to learn anything. In order to keep students interested in learning, students must be motivated by the teacher.
MPCS-2018-02 16 April 2018 Phase separation of n-dimensional-harmonic mappings by

Among other interesting results, in a recent paper [15], Katzourakis analysed the phenomenon of separation of the solutions u :R2 ⊇ Ω −→ RN , to the ∞-Laplace system ∆∞u := ( Du⊗Du + |Du|2[[Du]]⊥ ⊗ I ) : Du = 0, to phases with qualitatively different behavior in the case of n = 2 ≤ N . The solutions of the ∞-Laplace system are called the ∞-Harmonic mappings. In this paper we discuss an extension of Katzourakis’ result mentioned above to higher dimensions by studying the phase separation of n-dimensional ∞Harmonic mappings in the case N ≥ n ≥ 2.
OPTH_A_245492 905..913

Department of Ophthalmology, Faculty of Medicine, Cairo University, Cairo, Egypt Purpose: To report the prevalence of subclinical keratoconus (KC), and KC suspects, in pediatric Egyptian population with astigmatic error ≥2 diopters (D), with the use of CSO Sirius tomographer. Methods: A cross-sectional study that included all the children aged 6–18 years with an astigmatic error of ≥2 D who attended the pediatric ophthalmology clinic for routine checkups during the period between March 2017 and December 2017 was done. All subjects underwent comprehensive ophthalmic examination, and corneal imaging using CSO Sirius instrument, a pentacam with Scheimpflug technology. Results: There were 547 subjects enrolled in our study. Mean age was 11.34 ± 3.03 (range 6–18) years. There were 278 subjects (50.8%) between 6 and 12 years, and 269 subjects (49.2%) between 12 and 18 years. Males represented 48.4% and females represented 51.6% of patients. Among all the subjects, there were 26 (4.8%) KC patients, 24 (4.4%) KC suspects, and 497 (90.9%) were normal. Conclusion: Prevalence of subclinical KC among pediatric age group with astigmatism is relatively high, hence the importance of corneal tomography screening of children with astigmatic error ≥2 D.
Suppressing Grid-Point Storms in a Numerical Forecasting Model

The convective parameterization scheme of the Korean Integrated Model (KIM) is tentatively modified to suppress grid-point storms in the Western Pacific Ocean. The KIM v3.2. 11 suffers from the numerical problem that grid-point storms degrade forecasts in the tropical oceans and around the Korean Peninsula. Another convective parameterization scheme, the new Tiedtke scheme, is implemented in the KIM. The artificial storms are suppressed in the test version because the heating and drying tendencies of the new Tiedtke scheme are stronger than those of the default KIM Simplified Arakawa-Schubert (KSAS) scheme. Based on this comparison, the KSAS scheme is modified to strengthen its heating and drying tendencies by reducing the entrainment and detrainment rates. The modified KSAS scheme suppresses grid-point storms and thus decreases grid-scale precipitation in a summertime case simulation. Twenty 10-day forecasts with the default convection scheme (KSAS) and twenty forecasts with the modified scheme are conducted and compared with each other, confirming that the modified KSAS scheme successfully suppresses grid-point storms.
Production, accumulation and nutrient content of Sitka spruce litterfall.

Litterfall measurement in three stands of Sitka spruce showed that on average 5,500 kg/ha was shed per annum. This contained 72 kg of nitrogen, 5 kg of phospharus and 14 kg of potassium. Because litter production exceeds decomposition large amounts accumulate. On average the litter layers had a D.M. content of 50,000 kg/ha containing 915 kg of nitrogen, 50 kg of phosphorous and 130 kg of potassium. The high figures for production and accumulation, and the variation between sites, appeared to be related to crop density.
Use of slaughterhouses as sentinel points for genomic surveil- lance of subclinical foot-and-mouth disease virus in Vietnam

The genetic diversity of foot-and-mouth disease virus (FMDV) poses a challenge to the successful control of the disease, and it is important to identify the emergence of different strains in endemic settings. The objective of this study was to evaluate sampling of clinically healthy livestock at slaughterhouses as a strategy for genomic FMDV surveillance. Serum samples (n = 11875) and oropharyngeal fluid (OPF) samples (n = 5045) were collected from asymptomatic cattle and buffalo on farms in eight provinces in southern and northern Vietnam (2015 to 2019) to characterize viral diversity. Outbreak sequences were collected between 2009 and 2019. In two slaughterhouses in southern Vietnam, 1200 serum and OPF samples were collected from asymptomatic cattle and buffalo (2017 to 2019) as a pilot study on the use of slaughterhouses as sentinel points of surveillance. VP1 sequences were analyzed using discriminant principal component analysis and time-scaled phylodynamic trees. Six of seven serotype O and A clusters circulating in southern Vietnam from 2017-19 were detected at least once in slaughterhouses, sometimes pre-dating outbreak sequences associated with the same cluster by 4-6 months. Routine sampling at slaughterhouses may provide timely and cost-effective strategy for genomic surveillance to identify circulating and emerging FMDV strains.
Automatic segregate : Dry and Wet segregation using CNN(Deep Learning) with Robotic arm

: Dry and wet segregation using CNN with robotic arm is employed to segregate the waste into dry and wet class. The aim of this research work is to segregate the trash between dry and wet using image classification technologies and deep learning algorithm for detecting trash. This research paper will facilitate your to enhance the trash management systems. Convolutional Neural Networks (CNN) are supported on the transfer learning architecture, were developed to go looking for trash objects in a picture and separate dry and wet items from the trash objects, respectively. During this research paper, we are using dataset of trashNet where we train and test the dataset of trash to classify the category between dry and wet. Using TrashNet image dataset we achieved great performance. Then the system was trained and tested on real images taken by the user within the intended usage environment. Using the image data(CNN model), the primary CNN achieved a preliminary 84.96% accuracy to spot dry and wet items on an image dataset of assorted trash items. Lastly, a robotic arm controlled by the microcontroller (Raspberry Pi) is employed to choose up the rubbish and places it within the bin. As this model segregate the waste automatically with none human intervention, this segregate model may be very useful in handling waste which might pose an enormous risk on human life.
Comparative Analysis of Voice Behavior Research at Home and Abroad Based on Bibliometric Methods

Taking the literature of voice behavior research collected in CSSCI and SSCI as the sample, this paper uses bibliometric methods and CiteSpace5.6. R5 software to conduct a comparative analysis of voice behavior research at home and abroad from the aspects of hotspots, topic clusters and frontiers. Results indicate that: (1) In terms of similarity, both domestic and foreign studies attach importance to the discussion of two-dimensional voice behavior and the relationship between silence and voice; both focus on the factors affecting voice behavior at individual and leadership levels; both future researches will continue to pay attention to the role of leadership in voice behavior. (2) In terms of differences, domestic studies pay attention to the antecedents of voice behavior with Chinese characteristics; however, domestic studies pay far less attention to the voice-related concepts, contextual antecedents and outcomes of voice behavior than foreign studies, future foreign studies will carry out more discussions on contextual factors related to voice and voice’s outcomes. This paper identifies the similarities and differences between domestic and foreign voice behavior research, in order to provide reference for future domestic voice behavior research.