Miracle-dz/UniFAR-FTUs huggingface dataset:
Does reptation describe the dynamics of entangled, finite length polymer systems? A model simulation

In order to examine the validity of the reptation model of motion in a dense collection of polymers, dynamic Monte Carlo (MC) simulations of polymer chains composed of n beads confined to a diamond lattice were undertaken as a function of polymer concentration φ and degree of polymerization n. We demonstrate that over a wide density range these systems exhibit the experimentally required molecular weight dependence of the center‐of‐mass self‐diffusion coefficient D∼n−2.1 and the terminal relaxation time of the end‐to‐end vector τR∼n3.4. Thus, these systems should represent a highly entangled collection of polymers appropriate to look for the existence of reptation. The time dependence of the average single bead mean‐square displacement, as well as the dependence of the single bead displacement on position in the chain were examined, along with the time dependence of the center‐of‐mass displacement. Furthermore, to determine where in fact a well‐defined tube exists, the mean‐square displacements of a polym.
The Importance and Improvement of Indoor Air Quality in Dental Clinics within the context of Covid-19

As of August 24, 2020, WHO has reported 23 311 719 Covid-19 confirmed cases in 216 countries, areas. The confirmed death toll from these cases is 806 410. New information on the transmission routes of Covid-19 is found every day. While there are no conclusive results on the “airborne transmission” of Covid-19 in indoor transmission, recent research suggests that Covid-19 can be detected in the air and can live for a long time after aerosolization. Workers at dental clinics are also in the largest risk group exposed to extra aerosols that emerge during treatment. The purpose of this review is to review the studies on Covid-19, the cause of the pandemic that has been around the world for about six months, and to review the studies on aerosol transmission from the air, which are not much discussed (controversial), and to review the studies on the quality and improvement of office air during dental procedures, which are one of the most important risks for virus transmission. It is concluded that indoor air quality should be of the highest standard for the health of the dental clinics personal and patients in the waiting room. Air movement should be ensured. To do that; since it is the safest way to provide air quality, airing to dilute the infectious particle concentration in the air should be ensured. If ventilation equipment is to be used, ventilation systems with HEPA filter that distribute negative pressure should be chosen. Personal must not put off their protective equipment before leaving the clinic. In addition, information on aerosol transmission and protection from transmission of Covid-19 by inhalation should be added by updating the public health guidelines published to prevent the spread of the virus.
Performance of Ground Penetrating Radar Employing Buffer-Layered Antennas for Groundwater Detection based on Frequency Scaling Model

101 Abstract— Groundwater detection using classical electromagnetic (EM) wave ground penetrating radar (GPR), which utilizes single-input single-output (SISO) antenna configuration in open-air condition, results in poor signal propagation through soil. This paper proposes groundwater detection using enhanced GPR system utilizing buffer-layered antennas, where an additional medium is placed between the antenna and the ground, acting as a matching layer. The performance of the proposed scheme is investigated using frequency-domain time-domain (FDTD) based numerical simulation. Typically, numerical GPR simulation using real measurement parameters requires large number of meshing and therefore takes longer time to perform and is run on computers with high specification. In this paper, comparison between simulations using real scale and frequency scale model is also presented. Simulation result indicates improvement in wave propagation inside homogeneous soil using buffer-layered antenna, which can be observed in both real scale and frequency scale simulations.
Short Text Classiﬁcation using Graph Convolutional Network

Short text classiﬁcation is a fundamental problem in natural language processing, social network analysis, and e-commerce. Traditional approaches for classifying text do not generalize to short texts, due to the lack of structure that is prevalent in longer sentences and paragraphs. More recently, deep learning-based methods have been applied to this problem, with limited success. To overcome the limitations of textual features in short text, in this paper, we propose to apply Graph Convolutional Network (GCN) to classify short text. The method uses side-information present in the dataset to construct a graph and then learn a Short Text Graph Convolutional Networks (ST-GCN). We demonstrate the efﬁcacy of our method in the context of two variants of the problem in the e-commerce domain where the text is short: product query classiﬁcation and product title classiﬁcation. The use of a GCN to represent our corpus allows us to capture dependencies between the text samples and this additional construction allows us to surpass several baseline methods. Our model achieves state-of-the-art results on both proprietary and external datasets, where ST-GCN outperforms other methods by up to 5.89 % in classiﬁcation accuracy. Furthermore, we show that compared to baseline methods, ST-GCN is relatively more robust to noise in textual features.
Genetic Programming‐Based Empirical Model for Daily Reference Evapotranspiration Estimation

Genetic programming (GP) is presented as a new tool for the estimation of reference evapotranspiration by using daily atmospheric variables obtained from the California Irrigation Management Information System (CIMIS) database. The variables employed in the model are daily solar radiation, daily mean temperature, average daily relative humidity and wind speed. The results obtained are compared to seven conventional reference evapotranspiration models including: (1) the Penman-Monteith equation modified by CIMIS, (2) the Penman-Monteith equation modified by the Food and Agricultural Organization (FAO 56), (3) the Hargreaves-Samani equation, (4) the solar radiation-based ET 0 equation, (5) the Jensen-Haise equation, (6) the Jones-Ritchie equation, and (7) the Turc method. Statistical measures such as average, standard deviation, minimum and maximum values, as well as criteria such as mean square error and determination coefficient are used to measure the performance of the model developed by employing GP. Statistics and scatter plots indicate that the new equation produces quite satisfactorily results and can be used as an alternative to the conventional models.
Exergetic analysis on the two-stage reverse osmosis seawater desalination system

ABSTRACT Cardona et al. proposed a two-stage RO system. As reported, this two-stage RO system presents about 20% energy saving compared with conventional single-stage RO system when pressure exchanger is excluded from consideration. Since two mixing steps occur in this two-stage RO system, will it still show advantages from the point of the second law of thermodynamics? This paper makes an exergetic discussion on this two-stage RO system and a conventional single-stage RO system. It is found that input pressure exergy accounts for a large proportion of total input exergy in RO systems. Two-stage RO system presents about 42% of rise in input pressure exergy and 33% of rise in total exergy destruction compared with single-stage system. The blending exergy destruction is much smaller than the total exergy loss. Therefore, the key points that improve the exergetic efficiency of this two-stage RO system lie in other ways. Increasing the product flow by heating feed is an effective method. Because of the higher.
An Unsupervised Spoken Term Detection System for Urdu

Over the past 40 years, Keyword Spotting (KWS) remained in focus by both academia and commercial companies. However, the majority of these systems were developed and evaluated for rich resourced languages like English, German, etc. This is because it requires thousands of hours of transcribed speech data to train KWS systems, which is not available for most of the under-resourced languages like Urdu. To address this challenge, the area of zero-resource or unsupervised speech processing emerged, i.e. to extract meaningful features and learning language structures directly from unlabeled raw speech data. This paper presents a completely unsupervised KWS system that searches all of the instances of an input keyword in reference audio file(s), given the keyword present in the reference file(s), without requiring any labeled data and speech recognition. PRUS corpus was used to train GMM without any supervision. Input keyword and reference audios Gaussian Posteriorgrams were compared using Segmental Dynamic Time Warping (SDTW). Top N minimum distances were taken to obtain the closely related segments of the reference file, which are more probable to be the desired keyword. The proposed system showed the precision up to 91.50 % and 79.20 % for cross-speaker and same speaker respectively.
Connecting multiple motives and behavioural perspectives towards social innovation diffusion

This research deals with an analysis on the recent increase in vegetarian and vegan food practices. The aim of the study is to define the motives of vegetarians and vegans and the development of this dietary movement by analysing the internal and external factors that influenced them. Two main perspectives will be applied: First, the internal motives and the behaviour of vegetarians and vegans will be described. The motives that triggered their dietary change and the expression of those motives in other activities will provide insights into the behavioural scope of vegetarians and vegans. Second, the nutritional practices will be evaluated from a social innovation perspective, where the development of this movement will be analysed and described. This approach will include a description of the characteristics of individuals that partake in vegan and vegetarian practices, as well as the advancement of vegan and vegetarian segments in food stores. Together this thorough analysis will shed light on the relation between motives, behaviour and social innovation with regard to vegetarianism and veganism. 1
MicroRNA-140-5p regulates the proliferation, apoptosis and inflammation of RA FLSs by repressing STAT3

Ectopic expression of microRNA (miRNA) in rheumatoid arthritis (RA) fibroblast-like synoviocyte (RA FLS) is associated with the development of rheumatoid arthritis. The present study aimed to evaluate the effects of miRNA-140-5p (miR-140) on the properties of RA FLSs. It was found that miR-140 expression was decreased in 33 RA patients and extracted RA FLS samples, when compared to the corresponding healthy controls. Abnormally increased miR-140 expression in RA FLSs attenuated cell proliferation and increased cell apoptosis. Additionally, reduced pro-inflammatory cytokine production was observed in RA FLSs transfected with a miR-140 precursor. Furthermore, the 3'-UTR of the signal transducer and activator of transcription (STAT) 3 gene was identified as a target of miR-140. Notably, restoration of STAT3 expression rescued the regulatory effect of miR-140 on the proliferation, apoptosis and inflammatory cytokine production of RA FLSs. Therefore, the current findings indicated that miR-140 is a crucial modulator of both proliferation and apoptosis, shedding light on the etiology behind RA FLS viability, which is modulated by an interplay between miR-140 and STAT3 in the context of RA.
A Critical Survey on Privacy Prevailing in Mobile Cloud Computing: Challenges, State of the Art Methods and Future Directions

: With the explosive growth of mobile applications and extensive praxis of cloud computing, mobile cloud computing has been introduced to be a potential technology for mobile services. But privacy is the main concern for a mobile user in the modern era. In the current study, we address the privacy challenges faced by mobile users while outsourcing their data to the service provider for storage and processing. However, a secure mobile user is required to protect these fundamental privacy factors such as their personal data, real identity, current location and the actual query sent to the cloud vendor server while availing different cloud services. Under these privacy metrics, we evaluated the existing approaches that are counting privacy challenge in mobile cloud computing. The primary focus of this study is to presents a critical survey of recent privacy protection techniques. Leading to objective, the current study conduct a comparative analysis of these state of the art methods with their strong points, privacy level and scalability. After analysis, this paper suggests the pseudo-random permutation method could be a promising solution that can be taken into consideration for preserving user personal information and data query privacy in MCC more efficiently. Primarily, the purpose of the survey was to focus on further advancements of the suggested method. Furthermore, we present the future research directions in the mobile cloud computing paradigms.
Temporal Analysis of Volatile Oil Compounds from Winter Season Flowering ‘Eureka’ Lemon

Abstract The chemical compositions of Volatile Oil Compounds (VOCs) of Citrus limon (L.) Burm. ‘Eureka’ flowers were isolated at six stages of flower development using headspace extraction in the early of winter. The main floral headspace components were linalool, limonene, linalyl acetate, (E)-β-ocimene, γ-terpinene, (Z)-β-ocimene and myrcene were the highest VOCs for all blooming stages. The relative percentage of linalool as an oxygenated monoterpene was significantly increased to peak (56.19 %) at the early stage of the floral development, but in stage 5 the lowest quantity of linalool (28.27 %) was detected. The highest percentages of limonene, a major monoterpene hydrocarbons component of citrus volatile oils by headspace methods, were observed in stage 5 (33.9 %). Also the result indicated that the early stages of flower development (Stage 1 and 2) had the lowest quantity of this compound. Acetate esters are important contributors to the aroma of different Citrus flowers. The highest linalyl acetate was detected in stage 1 (21.24 %) and stage 5 (20.22 %) respectively. The lowest quantity of this compound was detected in stages 4 and 3 respectively. (E)-β-ocimene was significantly increased to peak (6.44 %) at the stage 5 of the floral development and accumulated during the late stages of the flowers development (stage 3-6). These results present clear proof that the content of some main volatiles did not constantly increase during flower blooming, and that volatiles have a large influence during flower maturity, maybe related to their different roles during development such as defense against pathogen and attraction of pollinating agent.
K-Casein Gene Phylogeny of Higher Ruminants

Scott, 1987; Irwin et al., 1993). However, there is not To assess phylogenetic relationships among the a consensus on the systematic relationships of the pechigher ruminants (infraorder Pecora, order Artiodacoran families or lower taxa. Morphological studies have tyla), we analyzed K-casein DNA sequences, includresulted in alternative phylogenetic groupings of five ing 434 nucleotides of the fourth exon. The higher families: Antilocapridae (pronghorns), Bovidae (cattle, ruminant families Bovidae, Cervidae, Giraffidae, and sheep, antelope), Cervidae (deer), Moschidae (musk Antilocapridae each have monophyletic K-casein sedeer), and Giraffidae (giraffes and okapis). In the differquences. Maximum parsimony and distance analyses ent schemes, moschids, antilocaprids, and giraffids ocidentify Giraffidae as a sister group to either Cervidae cur in clades with either cervids or bovids or in an unreor a Bovidae-Cervidae clade and Antilocapridae as a solved polychotomy. Tragulidae (chevrotains or mouse sister group to a Bovidae–Cervidae–Giraffidae clade. deer) are ruminants, but are distinguished from the At a higher level these four families occur as a monopecorans by several characters. A recent review of pecphyletic clade relative to Tragulidae and Suidae. oran systematics is provided by Janis and Scott (1987). Within Cervidae, the subfamily Odocoileinae is monoWithin the Cervidae, the common classification inphyletic and Cervinae and Muntiacinae occur as indecludes two major subfamilies which differ in morpholpendent lineages within a separate clade. Within ogy and behavior (Geist, 1982; Groves and Grubb, 1987; Bovidae, the subfamilies Bovinae and Caprinae Janis, 1988). The Cervinae occur in Eurasia (except are monophyletic. Genera within Cervinae (Cervus, North American elk, Cervus elaphus). The Odocoileinae Elaphurus) and Bovinae (Bison, Bos) are paraphyletic. includes North American Odocoileus (white-tailed There is intraspecific allelic variation in Cervus eladeer, black-tailed deer, mule deer), Eurasian Capreolus phus, Odocoileus hemionus, and Bison bison. The rate (roe deer), and several South American genera, includof K-casein fourth exon DNA sequence evolution is estimated to be about 0.004 nucleotide substitutions per ing Mazama (brockets). The holarctic moose (Alces million years. The K-casein phylogeny is discussed relalces) and caribou (Rangifer tarandus) lineages are ative to other molecular and morphological data. considered either tribes within the Odocoileinae
A Study of Effects of School Facilities on Learning Performance of Vocational High School Students: An Empirical Study

A large amount of studies has been conducted to deeply comprehend the relationship between school facilities and students’ performance in academic term; however, it appears that there is a limited amount of studies for this objective on vocational education. To contribute for the need of this concern, this study aimed to explore the relationship of school facilities on students’ performance in vocational high schools. A qualitative methodology was employed, with structuredinterviews as the instruments for data collection. Participants were five doctoral students and one post-doctoral student, and they were doing their studies at a university in Douliu county, Taiwan. All participants’ responses were recorded and then transcribed. Based on participants’ responses, in vocational technical high school, classroom facilities, laboratory facilities and playgrounds highly affect students’ learning performance. Also, the obtained data emphasize the availability, quality and quantity of equipment in classrooms and workshop rooms. Obtained data also presented the interesting point, role of playground to learning performance of students in vocational high schools. The study suggested the concern about playgrounds to enhance the motivation and learning effectiveness of students in vocational high schools.
Relationship between anaerobic power and isokinetic trunk strength in college male soccer players

Background: Although anaerobic power affects soccer performance, the relationship between anaerobic power and core strength in soccer players has not been well studied. The aim of our study was to investigate the relationship between anaerobic power and core strength. Methods: The subjects were 31 college male soccer players. Their physical characteristics, anaerobic power (Wingate anaerobic test: WAnT), and core strength (isokinetic trunk strength test; ITST) were measured. To describe the effect of core strength on anaerobic power, the Pearson correlation coeﬃcient and multiple regression analysis were conducted. Results: A signiﬁcant relationship between the WAnT peak power (PP) and variables of ITST was observed (vs. trunk extension strength; TES: r = 0.629, vs. trunk ﬂexion strength; TES: r = 0.507, vs. trunk extension power; TEP: r = 0.411, and vs. trunk ﬂexion power; TFP: r = 0.555). We also found a relationship between the WAnT mean power (MP) and variables of ITST (vs. TES: r = 0.654, vs. TFS: r = 0.559, vs. TEP: r = 0.468, and vs. TFP: r = 0.720). The variables of ITST affecting WAnT PP were TES (P < 0.001) and TFP (P < 0.001). The explanatory power of these variables was 59.7% (R2 = 0.597). The variables of ITST affecting WAnT MP were TFS (P < 0.001) and TSE (P < 0.001). The explanatory power of these variables was 72.7% (R2 = 0.727). Conclusion: The results of our study showed that isokinetic trunk strength signiﬁcantly associated with the WAnT peak and mean power.
Sodium-Silicate Route to Submicrometer Hybrid PEG@Silica Particles

In a recent series of papers, a general methodology has been developed for the synthesis of polymer@silica submicrometer particles, which is based on the entrapment of a hydrophobic organic polymer in a polycondensating tetraethoxysilane (TEOS) oil-in-water (O/W) emulsion. As this system could not handle hydrophilic polymers, the development of a “mirror” W/O emulsion system was needed. Here we report the successful achievement of that goal, by demonstrating the synthesis of poly(ethylene glycol)@silica submicrometer particles from (the cheaper, greener) sodium silicate, which is a less common monomer compared to TEOS in submicrometer silica particle synthesis. Indeed, finding the right conditions for preparing these particles required screening of many procedures, some of which are briefly mentioned. Full characterization of the hybrid particles is provided. As both PEG and silica are biocompatible, so are the hybrid particles.
The Status of Allied Health Professionals in India: Need for a SWOT Analysis

India is struggling hard to meet the healthcare needs of its vast population and the major cause is shortage of human resources at all levels of healthcare system. To meet this demand, Government of India is planning to integrate allied healthcare professionals into main stream of Indian healthcare delivery system. At present, there is no governing body to regulate the training and services of allied health professionals in India. There is a strong need to establish an individual council for the regulation of allied health institutes and AHPs. Government of India is also working in that direction. This is the most optimum time when all allied health fields and professionals must analyze their current scenario and identify the most vital ingredients which can help them to excel in their fields. This will further help to establish a quality foundation for reintroduction of AHPs into the future public health care delivery system of India. SWOT analysis is an important managerial technique of introspecting the overall strategic position of a business, a project, an organization or an individual. If executed in a systematic way, this can become the foundation for evaluating the internal potentials and limitations and possible opportunities and threats from the external environment. By identifying the strong and weak attributes, AHPs can overcome existing threats in a systematic way by assimilating the opportunities in the best manner. At this time, if the leaders of allied healthcare professions perform an introspection and carry out SWOT analysis in a systematic manner, they can identify various important elements. Then, it is possible that it will help them to reap much-awaited rewards in the form of improved health outcomes for the population of the country. It will also ensure providing their due recognition and status in the society.