Miracle-dz/UniFAR-FTUs huggingface dataset:
Population Annealing An approach to ﬁnite-temperature calculation

In the last decade of the 20th century, Dynamic Monte Carlo algorithms, which have been essential tools in statistical physics, are proved to be also useful in statistical and information sciences [1, 2]. Now, these methods are considered as indispensable part of undergraduate/graduate courses in statistics and engineering. Note that the ability of sampling from high dimensional distributions and calculating averages is also important in statistical science, for example, for the sampling from posterior distributions. This change increases the attention to an inherent difficulty of these algorithms, that is, Markov chains used in these algorithms mix very slowly in difficult problems. It causes annoying bias and inaccuracy of the outputs. Many efforts have been devoted to overcome this difficulty. ”Simulated Annealing”, which is a method for optimization, or equivalently, a method for finding a ground state of the system, does not resolve the difficulty at finite temperatures. In 1990s (or late of 1980s),“Extended Ensemble” type algorithms are introduced, which are useful for finite temperature calculations. In these algorithms, ensembles defined as compositions or extensions of given distributions are simulated. Typical examples are Multicanonical algorithm, Simulated Tempering, and Exchange Monte Carlo (Parallel Tempering) algorithms. Now they become popular in various fields in statistical physics
FOOD RECOMMENDATION SYSTEM USING MACHINE LEARNING

- Traditional Recommender Systems recommend items on the basis of a single criterion whereas rates of hotel food take many different criteria for each item. Although rating system of food recommender Systems have a promising accuracy, approaches used by them require many previous users to first rate items with respect to criteria. This paper presents a rating Criteria Recommendation System for food Recommendations to choose the best suited hotel in a city according to a users’ preference and other user’s ratings. In order to determine the food rating of a hotel from previous users uses various Natural Language Processing approaches on a hotel of food review corpus and builds a user-item-feature database. At time of hotel leaving the user give rating for next recommendation, if both user give same rating to one hotel food then and if next time one user can rate to other hotel that hotel will recommend to other user.
Development of a Causal Model of Virtual Social Networking Dependence in High School Students

2018 Abstract Purpose : Extreme dependence on virtual social networks has devastating consequences such as academic underachievement, sleep disorder, and social isolation, clearly highlighting the need for research in this area. The purpose of this study was to investigate the effect of rumination, social support, loneliness and social anxiety on dependence on virtual social networks with an emphasis on the mediating role of self-regulation. Methodology : The statistical population included all female upper secondary school students in Tehran who studied in the academic year of 2017-18. Six hundred (600) students were selected by multistage random cluster sampling. Research data was analyzed using structural equation modeling. Findings : The results indicated that the model had a good fit. Also the direct and indirect effects of social anxiety and social support, as well as the direct impact of loneliness on the dependence on virtual social networks, are rejected at the alpha level of 0/05 and are not significant. self-regulation variables were significant in direct effect. Rumination and loneliness variables were also significantly correlated with self-regulation mediation in indirect
An Efficient ICI Mitigation Technique for MIMO-OFDM System in Time-Varying Channels

Received: 6 December 2018 Accepted: 11 January 2020 In this paper, we proposed a technique to mitigate the Inter-Carrier Interference (ICI) in Multiple-Input Multiple-Output OFDM Systems (MIMO-OFDM) which is a major bottleneck in wireless communication system. Previously the number of frame architectures and different models of channels are used to diminish this drawback of OFDM but the calculations for these models are more difficult. Therefore, we implemented low complexity ICI mitigation for MIMO-OFDM systems beneath the acceptance of channels which are linear time varied. It decreases the complication of ICI suppression from ( ) ( ) ( ) 3 3 2 log O K M NM NM MK K + + + to
“I Do Worry That Football Will Become Over-Feminized”: Ambiguities in Fan Reflections on the Gender Order in Men’s Professional Football in the United Kingdom

This article draws on the responses of 2,347 football fans (male = 83.4%; female = 16.6%) collected via an online survey from September 2015 to January 2016 regarding the position of women (as fans, coaches, referees, journalists, board members, and administrators) in the gender order in men’s professional association football in the United Kingdom. Engaging with the theoretical framework of hegemonic masculinity, the authors addressed two recurring themes emerging from the results: the exclusionary practices of sexism and subordination aimed at women in men’s football and the extent to which women are regarded as “authentic” fans, given the gender inequalities and power imbalances they face in their practice of fandom in men’s football. The article concludes by suggesting that, although there are emerging “progressive” male attitudes toward women in men’s football, hegemonic and complicit masculinities remain a significant feature in the culture of fandom in men’s professional football in the United Kingdom.
Transformation of Loyalty to E-loyalty

As everyday life moves to the Internet, many factors and components have come up, with the "e" and e-loyalty not an exception. The authors focused on the transformation of loyalty to e-loyalty. It is important to understand the main differences between consumer loyalty models and e-loyalty models in order to promote business development not only in the traditional environment but also in the online environment. Such research methods as comparative analysis, analysis of the scientific literature, content analysis were used. The main focus of the research was on comparing loyalty models in the traditional and eenvironment to find out the peculiarities and main features of the e-environment. New factors that influence loyalty in the Internet environment, but not in the real world, were highlighted as the main results. All the new influencing factors are related to the company’s operation directly in the Internet environment and technical capabilities, as well as online communication. As a result, factor groups influencing the primary and secondary e-loyalty were found . This is an important topic of the 21st century, enabling businesses to move online mode and change their strategy according to the e-environment.
Online The Open University ’ s repository of research publications and other research outputs Modelling the hydrological impacts of climate change on UK lowland wet grassland

Hydrological impacts of climate change upon the Elmley Marshes, southeast England, are simulated using a coupled hydrological/hydraulic model developed using MIKE SHE/MIKE 11 and calibrated to contemporary conditions. Predicted changes in precipitation, temperature, radiation and wind speed from the UK Climate Impacts Programme associated with four emissions scenarios for the 2050s are used to modify precipitation and potential evapotranspiration data. For each emissions scenario two sets of potential evapotranspiration data are derived, one using changes in temperature (PETtemp), the other incorporating changes in temperature, radiation and wind speed (PETtrws). Results indicate drier conditions through the progressively higher emissions scenarios when compared to contemporary conditions. Changes are particularly pronounced when using PETtrws. Summer water tables are lower (PETtemp 0.01–0.08 m; PETtrws 0.07–0.27 m) and the duration of high winter water tables is reduced. Although water tables still intercept the surface in winter when using PETtemp, this ceases when PETtrws is employed. Summer ditch water levels for the PETtemp scenarios are lower (0.01–0.21 m) and in dry winters they do not reach mean field level. Under the PETtrws scenarios summer and winter ditch water levels are lower by on average 0.21 m and 0.30 m respectively. Levels never reach the elevation of the marsh surface. Lower groundwater and ditch water levels result in declines in the magnitude and duration of surface inundation which is virtually eliminated with the PETtrws scenarios. Hydrological changes can be expected to have ecological impacts which may include the loss of some grassland species adapted to periods of high water table. Reductions in the extent of surface water in spring, especially for the PETtrws scenarios, are likely to reduce suitability for wading birds including lapwing (Vanellus vanellus) and redshank (Tringa totanus) for which the marshes are internationally renowned.
Chanting to the choir: the dialogical failure of antithetical climate change blogs

Blogs provide potential for publics to engage more deliberatively through dialogue in controversial science than one-way dissemination methods. This study investigated who was commenting on two antithetical climate change blogsites; how they were commenting; and the quality of their dialogue. Most research into science blogs has focused on bloggers rather than commenters. This study found that both blogsites were dominated by a small number of commenters who used contractive dialogue to promote their own views to like-minded commenters. Such blogsites are consolidating their own polarised publics rather than deliberately engaging them in climate change science. Abstract
Study the effect of heavy metals and Nano TiO2 on stevioside and Rebadioside A production in Stevia rebaudiana Bertoni hairy roots

Stevia rebaudiana Bert. is a medicinal plant with anti-oxidant, antimicrobial, antifungal and antiviral drug properties which contains two valuable secondary metabolites, stevioside and Rebadioside A, with very high sweetness capacity. In this research hairy roots were produced from S. rebaudiana leaf disks using two strains of 15834 and A4 A. rhizogenes. Then, the best hairy root line was selected and propagated. The effect titanium dioxide nanoparticles at 20, 40 and 60 mg/l after 0, 24, 48 and 72 h of elicitation and cobalt chloride and cadmium chloride each at 100 and 200 μmol after 2 and 8 h of elicitation were studied on the production and accumulation of stevioside and Rebadioside A. The results demonstrated that most treatments of elicitors at different times had significant effects on the production and accumulation of target metabolites, but titanium dioxide nanoparticles caused the highest production and accumulation of stevioside (96.88 mg/l and 24.28 mg/g DW), respectively at 40 mg/l after 24 h. However, at 60 mg/l and 48 h it had the highest effect on production and accumulation of Rebadioside A after 48 h (89.39 mg/l and 21.28 mg/g DW), respectively. Also the results demonstrated that treatment of cobalt chloride and cadmium chloride both at 100 μmol after 8 h had a strong effect on the production (114.19 and 183.98 mg/l) and accumulation (29.54 and 42.87 mg/g DW ) of stevioside, respectively. Cadmium chloride at 200 μmol had the highest effect on the production and accumulation of Rebadioside A after 2 h (105.51 mg/l and 25.42 mg/g DW), respectively. Meanwhile, no production of Rebadioside A was observed at 100 and 200 μmol in 8 h treatment.
Survey Paper on Descriptive Clustering of Documents on the Basis of Predictive Network

— every day the mass of information available, merely finding the relevant information is not the only task of automatic text classification systems. Instead the automatic text classification systems are assumed to retrieve the relevant information and are organized according to their degree of relevance to the query. The main problem in organizing is to classify which documents are relevant and which are irrelevant. The Automated text classification consists of automatically organizing clustered data. In this survey we learned method of text classification using machine learning based on the bag of words. The closest ancestors of the senses of all the undamaged words in a given document are selected as classes for the specified document.
USING FUZZY LOGIC IN INDUCTION MOTOR FOR DIRECT TORQUE CONTROL TO REDUCE LOSSES

-This paper presents an improved direct torque control in induction motor that based on fuzzy logic technique. we compaire both system (1)conventional method of direct torque control (2) DTC using fuzzy logic{FLDTC} benefits and its drawbacks. Major problem arise in conventional method DTC is torque ripple factor so we discuss how to overcome this problem . also we discuss modification in it with the help of fuzzy logic
Role of infection in wound healing

Chronic wounds, particularly infected wounds are clinically very important due to their significant impact on health budgets as well as patients` health worldwide. Patients with diabetes mellitus, vascular diseases especially peripheral vascular disease and pressure ulcers are major categories of patients presenting with chronic wounds. It is known that there are multiple factors determining chronic wound prognosis. The presence of multiple types of pathogenic bacteria, with specific virulence and adherent (biofilm) properties, contribute a significant role to the development of chronic wounds. This review article is based on the research project entitled” An investigation of the impact of bacterial diversity, pathogenic determinants and biofilms on chronic wounds”. The research findings have been published in form of research papers as well as conference posters. The aim of this article is to highlight various important aspects of bacterial impact on wound healing. Bangladesh Journal of Medical Science Vol.19(4) 2020 p.598-602
The Effect Of Managerial Ownership, Board Of Commissioners Size, Effectiveness Of The Audit Committee, Company Size And Profitability On The Selection Of Qualified External Auditors

This study aims to analyze the effect of selecting a qualified external auditor on managerial ownership, board size, effectiveness of the audit committee, company size and profitability in the 2015-2017 period. The number of sample companies is 65 companies using purposive sampling. Total observational data were 195 observational data. The results showed that the size of the board of commissioners, the effectiveness of the audit committee, and profitability affected the selection of qualified external auditors. Whereas managerial ownership and company size do not influence the selection of qualified external auditors.
Núcleo fundacional de merino fino y superfino de la unidad experimental “GLENCOE” – INIA Uruguay: una experiencia innovadora de mejoramiento genético asociativo y participativo

El objetivo del Proyecto de Investigacion y Desarrollo del Merino Fino para Uruguay (INIA, SUL, SCHU) es desarrollar una alternativa de produccion ovina que por medio de su difusion y posterior adopcion, permita mejorar la sustentabilidad socioeconomica de los productores de lana de las regiones de Basalto y Cristalino, considerando las demandas actuales y futuras de la Cadena Agroindustrial de lana del Pais y de los mercados consumidores. Es asi que se ha establecido un Nucleo de Seleccion Merino Fino (a partir de hembras nacionales y la importacion de animales del exterior), el cual ha logrado producir animales con diametros de fibra sustancialmente menores al de la poblacion nacional, con un progreso genetico anual para dicha caracteristica de -0,21i logrando mantener el Peso de Vellon Limpio. El material genetico producido en dicho nucleo ha sido diseminado hacia la cabana nacional y hacia los productores comerciales. Adicionalmente el proyecto ha permitido establecer una evaluacion genetica nacional para Merino Fino y ha logrado que las Diferencias Esperadas en la Progenies para las caracteristicas de interes economico sean utilizadas activamente como criterio de seleccion de los animales reproductores. Se dispone de informacion sobre alimentacion, manejo sanitario y reproductivo y sus efectos sobre la reproduccion, produccion y calidad de lana, que demuestra la factibilidad de incorporar la produccion de lanas finas y superfinas en sistemas productivos extensivos del pais.
A Sentiment Lexicon-based Analysis for Food and Beverage Industry Reviews. The Greek Language Paradigm

The purpose of this research is to implement a methodology to detect and quantify customers’ opinions which referred to the Food and Beverage (F&B) sector using the Greek language. Due to the large and continuously opinionative data produced by the evaluations of the customers’ reviews, the F&B companies, and/or other stakeholders face difficulties to extract all the necessary data and to proceed to further analysis. As far as the Greek market is concerned, the F&B sector is one of the most dynamic sectors. Delivery or take away food or coffee is very common, with the vast majority of consumers to order from aggregators’ platforms (online digital markets). In this study, 8,950 customers’ reviews are extracted from 690 companies selected randomly from a total of 6,795 companies covering the most popular capitals of Greece and presented in the most used common e-platform. The mining of customers’ reviews covers a month period during the year of 2018 and the evaluated functions are the quality of food, the customer service, the image of the company, the pricing, and the quantity of food. As it appears, the sentiment analysis in an aspect-level using the lexicon-based technique should approach methodologically the problem by identifying not only the relevant information but also the particular expressions and phrases the evaluators use over the Internet. The extracted keywords and phrases from the customers’ reviews are used to form the corresponding dictionaries of the functions and to proceed in the sentiment classification. The method is tested in an annotated dataset of 2,000 customers’ reviews and, overall, the findings are expected to contribute towards the design and implementation issues of a sentiment lexicon particularly devoted to the Greek F&B industry.
EVALUACIÓN DE UN ENSAYO DE PCR DUPLEX PARA LA IDENTIFICACIÓN DE MICOBACTERIAS DEL COMPLEJO Mycobacterium tuberculosis Y NO TUBERCULOSIS Evaluation of a Duplex PCR Assay for the identification of Mycobacterium tuberculosis Complex and Nontuberculous Mycobacteria

RESUMEN La reemergencia de la tuberculosis como problema de saludpublica a nivel mundial, hace imperativo el diseno de estrate-gias de diagnostico rapido, sensible y especifico para detectartempranamente el patogeno. El objetivo de este trabajo fue eva-luar un ensayo de PCR duplex para identificar micobacterias delcomplejo Mycobacterium tuberculosis (TB) y no tuberculosis(NTB). En una unica reaccion de amplificacion se incluyerondos pares de oligonucleotidos y se estandarizaron sus tempera-turas de alineamiento. Para detectar cualquier micobacteria (TBy NTB), se utilizo un par de oligonucleotidos dirigido a la se-cuencia conservada del gen 16S rRNA. Para identificar mico-bacterias del complejo TB, se utilizo otro par de oligonucleotidosdirigido a la secuencia del marco de lectura abierta identificadocomo Rv0577 en el genoma de la cepa de referencia H37Rv.Para validar el ensayo, se analizaron 50 aislados clinicos de mi-cobacterias, incluyendo micobacterias del complejo TB y NTB.En todas las especies de micobacterias ensayadas con oligonu-cleotidos de 16S rRNA, se observo un amplicon esperado de543 pb, confirmando que el par de oligonucleotidos utilizadostiene caracter genero-especifico. La amplificacion con oligonu-cleotidos de Rv0577, rindio un producto de PCR de 786 pb soloen
Optical coherent tomography to evaluate the degree of inflammation in a mouse model of colitis.

Background There is an urgent need to develop a noninvasive imaging technique for the diagnosis of early inflammatory lesions or early and real-time microscopic assessment before selecting the most representative biopsy sites. Methods In this study, a dextran sulfate sodium colitis model was developed, and intestinal histological damage scores measured the degree of inflammation in colitis. According to these scores, 6 parameters were designed for hematoxylin and eosin (HE) sections based on morphological changes, and 2 parameters were designed for optical coherence tomography (OCT) images to measure submucosal edema by morphological changes to evaluate inflammation degrees in the colon. Spearman's rank correlation method was used to compare the correlation between the submucosal morphological changes and the different degrees of inflammation. One-way analysis of variance (ANOVA) was used for comparisons among groups, while receiver operating characteristic (ROC) curves of the indicators in HE sections and OCT images were plotted. Results In HE sections, angle of mucosal folds (r=0.853, P<0.01), length of basilar parts (r=0.915, P<0.01), submucosal area (r=0.819, P<0.01), and height between submucosal and muscular layers (r=0.451, P=0.001) were correlated with the degree of inflammation in colitis. In OCT images, length of basilar parts (r=0.800, P<0.01) and height of submucosa + thickness of muscularis (r=0.648, P=0.001) were correlated with the degree of inflammation and aided the measurement of inflammation in the colon. Conclusions Parameters based on morphological changes in OCT images and HE sections were significant indexes for evaluating the degree of inflammation in colitis. OCT images have advantages for future clinical applications in situ, including noninvasiveness and real-time imaging.
Perceptions of Inherited Wealth and the Support for Inheritance Taxation

We study how attitudes to inheritance taxation are influenced by information about the role of inherited wealth in society. Using a randomized experiment in a register-linked Swedish survey, we find that informing individuals about the large aggregate importance of inherited wealth and its link to inequality of opportunity significantly increases the support for inheritance taxation. Changes in the perceived economic importance of inherited wealth and altered views on whether luck matters most for economic success appear to be driving factors behind the treatment effect. Our findings suggest that the low salience of inherited wealth could be one explanation behind the relatively marginalized role of inheritance taxation in developed economies.