Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF THE POSSIBILITY OF PREDICTING SOCIAL REACTIONS USING IN-DEPTH ANALYSIS OF INFORMATION

Based on a literature analysis of the applicability of econometric and analytical models in the forecasting of social responses it was concluded that a dominating role is played by conditions and rules deriving from statistical physics. These models examine the straight behaviour and reactions of group members in a specific situation. There are no models where the behaviour of participants is related to phenomena occurring in their environment (closer and further) and dynamically changing states of this environment (in particular the information environment). A model for the study of the web information impact on social responses has been proposed to complement the identified research gap. The model has been evaluated on the basis of investment decisions made at the Warsaw Stock Exchange. The conducted analyzes show the usefulness of the model and the possibility of its further development in the wider context of social applications
Actual Management of Anterior Calyceal Diverticular Calculi: A Challenging Flexible Retrograde Endoscopic Approach

Calyceal diverticula is a cavity that communicates with the collecting system through a narrow isthmus of the kidney. The incidence of the formation of stones in calyceal diverticula is 10-50%. This paper reports three cases of two females and one male who presented with calyceal diverticular calculi; the patients have been, arbitrarily, selected between August and February 2019 at the urology department of our university hospital. A minimally invasive treatment includes extracorporeal lithotripsy (ESWL), and F-URS (flexible ureteroscopy) was performed. We report this case series.
Measurement of the effective B0s →K+K− lifetime

A measurement of the effective B0s → K+K− lifetime is presented using approximately 37 pb−1 of data collected by LHCb during 2010. This quantity can be used to put constraints on contributions from processes beyond the Standard Model in the B0s meson system and is determined by two complementary approaches as K K = 1.440±0.096 (stat)± 0.008 (syst)± 0.003 (model) ps. DOI: https://doi.org/10.1016/j.physletb. 2011.12. 058 Other titles: Measurement of the effective B0 s → K+K− lifetime Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-59015 Journal Article Published Version Originally published at: LHCb Collaboration; Anderson, J; Bernet, R; Chiapolini, N; De Cian, M; Palacios, J; Salzmann, C; Serra, N; Steinkamp, O; Straumann, U; Vollhardt, A (2012). Measurement of the effective B0s →K+K− lifetime. Physics Letters B, 707(3-4):349-356. DOI: https://doi.org/10.1016/j.physletb. 2011.12. 058 Physics Letters B 707 (2012) 349–356
Dormancy break and germination requirements in acorns of two bottomland Quercus species (Sect. Lobatae) of the eastern United States with references to ecology and phylogeny

Abstract Quercus species are ecologically and economically important components of deciduous forests of the eastern United States. However, knowledge pertinent to a thorough understanding of acorn germination dynamics for these species is lacking. The objectives of this research were to determine dormancy break and germination requirements for acorns of two eastern United States bottomland species, Quercus nigra and Quercus phellos (Section Lobatae), and to present results within ecological and phylogenetic contexts. Three replicates of 50 acorns of each species received 0 (control), 6, 12 or 18 weeks of cold stratification, followed by incubation in alternating temperature regimes of 15/6, 20/10, 25/15 and 30/20°C. Eighteen weeks of cold stratification were not sufficient for dormancy break in Q. nigra acorns. Cumulative germination percentages at 4 weeks of incubation were ≥77%, but only in incubation temperatures of 25/15 and 30/20°C. Dormancy break in Q. phellos acorns was achieved with 18 weeks of cold stratification, and cumulative germination percentages were ≥87% at 4 weeks of incubation in all test temperature regimes. Gibberellic acid solutions were not an effective substitute for cold stratification in either species. Phylogenetically, Q. nigra and Q. phellos are closely related species and, ecologically, both grow in the same habitat. Acorns of both species possess deep physiological dormancy (PD), but dormancy break and germination requirements differ in acorns of these two Quercus species.
A tunable 20 GHz transmon qubit in a 3D cavity

Superconducting qubits are efficient realizations of quantum bits. They can be implemented and addressed in a 3D cavity with frequency ranges that are usually around 5− 7 GHz. A frequency tunable transmon qubit around 20 GHz together with a matching 3D cavity made of oxygen-free copper are designed in this thesis. This qubit-cavity system is then placed in a dilution fridge and measured. The mode splitting of the qubitcavity system and the periodic tuning of the transmon through an external coil could be observed in the experiments. Time resolved measurements revealed qubit lifetimes of T1 ' 2 μs and coherence times of T ∗ 2 ' 2 μs using a Ramsey measurement T2 ' 3− 4 μs by spin-echo measurement.
Swiss ADME prediction of phytochemicals present in Butea monosperma (Lam.) Taub

In modern years, conventional medicinal plants analysis have constantly increased multinationally because plants allow them to complement modern pharmacological approaches. As computer mechanics developed, in silico approaches like network analysis and screening been extensively utilized to enlighten pharmacological basis of the functions of traditional medicinal plants. In these approach, network pharmacology, insilico screening and pharmacokinetic screening can augment active compounds among the candidates and indicate mechanism of action of medicinal plants. The present focus on the use of insilico ADME tool called SwissADME for pharmacological and pharmacognostic profiling of Butea monosperma Lam. The results of these study can be further carried forward by researcher to investigate the in vitro and in vivo studies to reveal the pharmacological basis of traditional medicinal plants.
High pT Harmonics in PbPb Collisions at 5.02 TeV

Studies of azimuthal anisotropies for very high pT particles in relativistic heavy ion collisions provide crucial information on the path length dependence of the parton energy loss mechanism in the quarkgluon plasma. Final high-precision data on the elliptic (v2) and triangular (v3) anisotropy harmonics of charged particles, obtained with the scalar product method, are presented up to pT ∼ 100 GeV/c in PbPb collisions at √ sNN = 5.02 TeV, using data recorded during the LHC run 2 with the CMS detector. In particular, the v3 harmonic is explored to a very high pT regime for the first time, allowing for an improved understanding of the effect of initial-state fluctuations on the parton energy loss. The v2 values reaching up pT ∼ 100 GeV/c are also determined using 4-, 6and 8-particle cumulants, shedding new light on the origin of the observed high-pT azimuthal anisotropies. These new results are compared to theoretical calculations and provide stringent constraints on the parton energy loss mechanisms and the influence of initial-state fluctuations. Presented at QM2017 Quark Matter 2017, XXVI international conference on ultrarelativistic heavy-ion collisions Nuclear Physics A 00 (2017) 1–4 Nuclear Physics A www.elsevier. com/locate/procedia High pT Harmonics in PbPb Collisions at 5.02 TeV Quan Wang on behalf of the CMS Collaborationa aThe University of Kansas Abstract Studies of azimuthal anisotropies for very high pT particles in relativistic heavy ion collisions provide crucial information on the path length dependence of the parton energy loss mechanism in the quark-gluon plasma. Final high-precision data on the elliptic (v2) and triangular (v3) anisotropy harmonics of charged particles, obtained with the scalar product method, are presented up to pT ∼ 100 GeV/c in PbPb collisions at √ sNN = 5.02 TeV, using data recorded during the LHC run 2 with the CMS detector. In particular, the v3 harmonic is explored to a very high pT regime for the first time, allowing for an improved understanding of the effect of initial-state fluctuations on the parton energy loss. The v2 values reaching up pT ∼ 100 GeV/c are also determined using 4-, 6and 8-particle cumulants, shedding new light on the origin of the observed high-pT azimuthal anisotropies. These new results are compared to theoretical calculations and provide stringent constraints on the parton energy loss mechanisms and the influence of initial-state fluctuations.
C2S: translating natural language comments to formal program specifications

Formal program specifications are essential for various software engineering tasks, such as program verification, program synthesis, code debugging and software testing. However, manually inferring formal program specifications is not only time-consuming but also error-prone. In addition, it requires substantial expertise. Natural language comments contain rich semantics about behaviors of code, making it feasible to infer program specifications from comments. Inspired by this, we develop a tool, named C2S, to automate the specification synthesis task by translating natural language comments into formal program specifications. Our approach firstly constructs alignments between natural language word and specification tokens from existing comments and their corresponding specifications. Then for a given method comment, our approach assembles tokens that are associated with words in the comment from the alignments into specifications guided by specification syntax and the context of the target method. Our tool successfully synthesizes 1,145 specifications for 511 methods of 64 classes in 5 different projects, substantially outperforming the state-of-the-art. The generated specifications are also used to improve a number of software engineering tasks like static taint analysis, which demonstrates the high quality of the specifications.
Molecular characterization of effective PGPRs from rhizosphere of banana against tip over disease caused by Erwinia carotovora subsp. carotovora

In recent years, there has been a reverse interest in the search of plant growth promoting rhizobacterias (PGPRs) for sustainable crop production. Banana is an economically important tropical fruit crop, which is subjected to infection by fungai, bacteria, virus and nematodes. A total of 134 PGPRs were isolated from rhizosphere of banana. Twelve out of 64 isolates of Bacillus spp. and seven out of 70 isolates of Pseudomonas spp. were found to effective against the Erwinia carotovora subsp. carotovora in vitro. Among them most effective isolate of PGPRs were further subjected for molecular characterization. The molecular studies confirmed them to be as Bacillus pumilis, Bacillus subtilis, Bacillus cereus, Pseudomonas aeruginosa and Pseudomonas putida.
Trial Application of Pulse-Modulated Induction Thermal Plasmas to High-Speed Nitridation with N2/H2 Injection

This report describes a trial application of pulse-modulated induction thermal plasma (PMITP) at 15 kW to high-speed surface nitridation of Ti. Influence of the pulse modulation (PM) of the coil current was investigated on the surface temperature and surface composition of the specimen. Gas composition was also measured by quadrupole mass spectroscopy (QMS). It was found that the PM could provide the highspeed nitridation of the specimen with low thermal damage.
Research on influencing factors of information dissemination of WeChat public accounts based on FSIPS two-stage model

The popularity and application of social media have a profound impact on user information dissemination in the Internet era. In China, WeChat's operation will face greater challenges as the number of Official Accounts climbs. This study focuses on the key factors of information dissemination effect in the two stage of "Sympathy under Feedback-Identify" and "Participate-Share & Spread" through constructing FSIPS two stage model, and analyzes the influencing factors of reading rate, comment rate and share rate from two dimensions in order to improve the distribution rate and information transmission for public operators
Forecasting of Barly production in India using ARIMA Model

Forecasting is an important tool to estimate the area, production and productivity of any crop in near future. The method chosen depends on the purpose and importance of the forecasts as well as the cost and efficiency of the alternative forecasting methods. Keeping in view the importance of the subject matter, a study on yield trends of barley crop in India has been undertaken to see the forecasting performance of the developed ARIMA models for barley yield prediction. ARIMA models are built for the data related to barley yields in India. The crop yield data of the past three/four decades have been used for the model building and the forecast values are obtained for the year 2013-14, 2014-15, 2015-16, 2016-17 and 2017-18. After experimenting with different lags of the moving average and autoregressive processes; ARIMA (1,1,0) have been fitted for barley yield forecasting purpose in India. The overall results indicates that the percent relative deviations of the forecast yields from the observed yields are within acceptable limits and favours the use of ARIMA models to get short-term forecast estimates.
A Dynamic Privacy Protection Mechanism for Spatiotemporal Crowdsourcing

In spatiotemporal crowdsourcing applications, sensing data uploaded by participants usually contain spatiotemporal sensitive data. If application servers publish the unprocessed sensing data directly, it is easy to expose the privacy of participants. In addition, application servers usually adopt the static publishing mechanism, which is easy to produce problems such as poor timeliness and large information loss for spatiotemporal crowdsourcing applications. Therefore, this paper proposes a spatiotemporal privacy protection (STPP) method based on dynamic clustering methods to solve the privacy protection problem for crowd participants in spatiotemporal crowdsourcing systems. Firstly, the working principles of a dynamic privacy protection mechanism are introduced. Then, based on k-anonymity and l-diversity, the spatiotemporal sensitive data are anonymized. In addition, this paper designs the dynamic k-anonymity algorithm based on the previous anonymous results. Through extensive performance evaluation on real-world data, compared with existing methods, the proposed STPP algorithm could effectively solve the problem of poor timeliness and improve the privacy protection level while reducing the information loss of sensing data.
FIREFLY OPTIMIZATION BASED DIMENSIONALITY REDUCTION FOR IMPROVING ACCURACY IN JOB HUNTING

In recent past, the growth rate of job hunters and job opportunities are drastically increasing due to the growth of education and advancements in technology. Finding the right job for the right person is a challenging task among the recruiters. In the digital era, most of the recruiters use automated job portal (JP) to conduct the recruitment process. Hence, job portals play a significant role in suggesting the right job to the right candidate. The accuracy of job suggestion is based on the job suggesting model (JSM) that is used in the job portal. Therefore, there is a pressing need to improve the accuracy of the JSM since suggesting the suitable job for the right candidate can minimize the JP operating cost and minimize job seeking time of the job hunters. In addition, the recruiters can by avoid suggesting unsuitable job to the job hunters. Moreover, increasing the accuracy of JSM reduces the recruitment cost and time and increases the satisfaction of both job hunters and employers. The JSM is built by the machine learn algorithms with employee data (ED). The irrelevant and redundant attributes of ED reduce the accuracy of JSM. Hence, this paper presents a firefly optimization-based dimensionality reduction method for improving the accuracy of the JSM in JP to facilitate the job hunters and the employers.
Proximate and phytochemical analysis of an Anticancerous Simarouba glauca leaves

Simarouba glauca is commonly known as ‘Laxmitaru’ or ‘paradise tree’ and belongings to the family Simaroubaceae. Simarouba was first used as a remedy for dysentery, colitis and malaria. Infusion of the leaves or bark is considered to be astringent and used as a digestion and menstrual stimulant and an antiparasitic remedy. It is taken internally for diarrhea, dysentery, malaria and colitis. The leaves (and occasionally the bark) are boiled in water to yield a powerful astringent tonic used to wash skin sores and to treat stomach and bowel disorders, hemorrhages and internal bleeding. The S. glauca has promising antioxidant activity. The extract of S. glauca has been used in Guatemala for the treatment of gastrointestinal disorders. In the present study the proximate and phytochemical analysis of simarouba leaves have been done. Both fresh and shade dried simarouba leaves were subjected to proximate analysis such as moisture, protein, fat, ash, fibre and total carbohydrates using standard reference protocols of AOAC (2000) and phytochemical properties such as total phenols, antioxidant activity and total flavonoids were also been analysed using standard protocols. From the results, it is evident that the plant Simarouba glauca leaves are found to have maximum amount of phytochemicals.
Influence of Vocabulary Knowledge & Lexical Access Times on Speech Intelligibility in Different Acoustic Conditions

Several researchers have suggested “linguistic skills” to correlate with speech intelligibility or recognition scores. Although linguistic “skills” or knowledge may refer to a multitude of language aspects, vocabulary size has often been considered a useful measure of linguistic skills or abilities (e.g., Benard et al, 2014; Besser et al, 2015; Conway et al, 2014). The more words a listener knows, the better his relative speech intelligibility scores. Benard et al (2014) investigated phoneme restoration by measuring speech intelligibility of Dutch everyday sentences (Versfeld et al, 2000) that were interrupted at rates of 1.25 and 2.50 Hz, with or without the addition of noise bursts in the silent gaps, and either at normal speech rate or a speech rate that was slowed by 50%. Speech intelligibility scores in percent correct were compared with a measure of receptive vocabulary knowledge (Dutch version of the Peabody Picture Vocabulary Test; Bell et al, 2001) and a Dutch version of the Wechsler Adult Intelligence Scale (WAIS-IV; Wechsler, 2012), respectively. They found receptive vocabulary, but not intelligence scores, to correlate with speech intelligibility by 12 listeners with normal hearing; the strongest correlation being one of PPVT and interrupted speech at the 2.50 Hz rate with silent gaps (r = .851; p < .001). Conway and colleagues (2014) showed that Stroop and Word tests for American children predicted the degree of facilitation by sentence context at the sentence final word in children with and without a cochlear implant. Working memory, as tested by the Digit Span, predicted accuracy of target word repetition at three sentence positions. Benichov and colleagues (2012) found, however, that vocabulary knowledge, as measured by a word naming test and word reading with unreliable phoneme-grapheme-correspondence, did not significantly contribute to word recognition performance in a group of 19–85 year old American listeners.
Genetic Diversity Analysis of Nelumbo nucifera Based on SRAP Markers

A newly developed molecular marker-SRAP(sequence-related amplified polymorphism) was used to detect DNA polymorphisms among the 39 lotus cultivars.Five pair primers were used to amplify the 72 genomic DNA.A total of 101 bands were generated,88 of them were polymorphic bands,with an average of 20 marker bands per pair of primers.The dendrogram generated by UPMGA showed the genetic relationship among 39 lotus cultivars.There were obvious definition among three types of flower,seed and rhizome lotus.Flower lotus is close to seed lotus in genetic relationships,while rhizome lotus has the farthest relationships to the others.Genetic variation within cultivars was more than that among cultivars in induced flower lotus,general flower lotus and induced seed lotus,and it was over 70% and 60% in induced seed lotus and induced flower lotus,respectively.However,genetic variation within cultivars was less than that among cultivars in rhizome lotus.Genetic variation within cultivars is important to both high and steady yield and selecting more choiceness new cultivars from abroad planting cultivars and freshly cultivated cultivars.
Towards Attention based ConvLSTM for Long-Term Travel Time Prediction of Bus Journey

Travel time prediction is critical for advanced travelerinformation systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems. However, in the area of bus trips, existing studies have focused on directly using the structured data to predict travel time for a single bus trip. For state‐of‐the‐art public transportation information systems, a bus journey generally has multiple bus trips. Additionally, due to the lack of study on data fusion, it is even inadequate for the development of underlying intelligent transportation systems. In this paper, we propose a novel framework for a hybrid data‐ driven travel time prediction model for bus journeys based on open data. We explore a convolutional long short‐term memory (ConvLSTM) model with a self‐attention mechanism that accurately predicts the running time of each segment of the trips and the waiting time at each station. The model is more robust to capture long‐range dependence in time series data as well.
Nutraceuticals and herbal extracts: A ray of hope for COVID‑19 and related infections (Review)

The global pandemic caused by the novel coronavirus disease 2019 (COVID‐19), for which there is no effective vaccine or treatment available yet, has led to a global health emergency. Despite a lack of clinical data, compelling evidence from the literature suggests that certain nutraceuticals (such as omega‐3 fats, β‐glucans, amino acids, probiotics, vitamins and minerals) and plant‐based compounds derived from herbal extracts may potentially be used in the treatment of COVID‐19. In the present review article, the benefits of such natural products in treating various respiratory complications are highlighted, and it is tentatively suggested that these benefits could be extrapolated to COVID‐19. These natural compounds may not only modulate the immunity of a susceptible population, but may also pave the way towards the development of drugs which may be used to treat COVID‐19. Although attention has recently focused on these compounds in this context, further clinical and experimental studies are required to validate their efficacy. It is thus suggested that the in vitro and in vivo evaluation of these compounds be carried out as soon as possible, in order to counteract the ongoing increase in the number of cases of COVID‐19.