Miracle-dz/UniFAR-FTUs huggingface dataset:
Recommendations For Academic Major Of Students With Case-Based Reasoning Method To The Case Of Iran

In some schools took place in the East Azerbaijan province in this year, a number of students were studied and compared in five different fields of study, based on several criteria, consist of Parental guidance, career, middle and high school grades, courses, etc. The purpose of this study was to predict academic major of students with Case-Based Reasoning method. Factors influencing the choice of the parameters are used in these predictions that the CBR method and other students behavior and process them by Matlab, appropriate field can be suggested for a given test set and measure accurately the amount of the recommendations.
What the finitization problem is not

0. Introduction. The finitization problem is one of the problems considered important in algebraic logic. Since it is often misunderstood, it seems desirable to try to develop a better understanding of what it is and what it is not about. The finitization problem is (at least partly) motivated by the following observations (1)–(3): (1) The natural algebraic counterpart of propositional logic is the variety of Boolean algebras which is axiomatizable by finitely many equations. (2) The natural algebraic counterpart of first-order logic Lωω is the variety RCAω of representable cylindric algebras which is very far from being axiomatizable by a finite schema of equations, cf. [HMT], Theorem 4.1. 3, and Andreka [A91]. (3) The algebraic counterpart of Lωω without equality is the variety RQPAω of representable quasi-polyadic algebras which is also not axiomatizable by a finite schema, see Sain–Thompson [ST]. (Similar negative results apply to the finitevariable fragments of Lωω. The algebraic counterparts here are finite-dimensional representable cylindric or polyadic algebras and relation algebras.) The negative results (2) and (3) do have purely logical consequences motivating the (nonalgebraic) logician to look into the question, cf. e.g. §4 of Sain [S87], Simon [S90], [S91], Venema [V90], [V92], Nemeti [N91], but see also the present Appendix A. Observations (2) and (3) above are in contrast with (1). So there seems to be a sharp contrast between the behaviour of propositional logic and quantifier logics. It is natural to ask whether the nonfinitizability in (2) and (3) is an unavoidable
Synthesis, Characterization and Catalysis of Ce-MCM-41

The cerium-containing MCM-41 (Ce-MCM-41) has been synthesized by direct hydrothermal method. Thelow-angleXRDpatternsrevealedthetypicalfivemajorpeaksofMCM-41typehexagonalstructures.The interplanarspacingd100=38.4Awasobtainedthatcanbeindexedonahexagonalunitcellparameterwithao= 44.3 A which was larger than that of pure siliceous MCM-41 (Si-MCM-41). Transmission electron micrograph shows the regular hexagonal array of uniform channel characteristics of MCM-41. The BET surface area of Ce-MCM-41 was 840 m 2 /g, which is much reduced as compared to that of Si-MCM-41, with the pore sizeof26.9Aandmesoporevolumeof0. 78cm 3 /gweremeasuredbynitrogenadsorption-desorptionisotherm at 77 K. Along with the results, the synthesized Ce-MCM-41 exhibited a well-ordered MCM-41-type mesoporous structure with the incorporation of cerium. Using Ce-MCM-41 as a support, the Rh (0.5 wt%) catalyst exhibited very high activity for the NO/CO reactions.
Tweet Geolocation Error Estimation

GIScience 2016 Short Paper Proceedings Tweet Geolocation Error Estimation E. Holbrook 1 , G. Kaur 1 , J. Bond 1 , J. Imbriani 1 , C. E. Grant 1 , and E. O. Nsoesie 2 1 University of Oklahoma, School of Computer Science Email: {erik; cgrant; gkaur; jared.t. bond-1; joshimbriani}@ou.edu 2 University of Washington, Institute for Health Metrics and Evaluation Email: en22@uw.edu Abstract Tweet location is important for researchers who study real-time human activity. However, few studies have examined the reliability of social media user-supplied location and description in- formation, and most who do use highly disparate measurements of accuracy. We examined the accuracy of predicting Tweet origin locations based on these features, and found an average ac- curacy of 1941 km. We created a machine learning regressor to evaluate the predictive accuracy of the textual content of these fields, and obtained an average accuracy of 256 km. In a dataset of 325788 tweets over eight days, we obtained city-level accuracy for approximately 29% of users based only on their location field. We describe a new method of measuring location accuracy. Introduction With the rise of micro-blogging services and publicly available social media posts, the problem of location identification has become increasingly important. Accurately assigning a geolocation to a tweet is extremely useful to a broad range of applications, like tracking the spread of disease through social media (Paul and Dredze, 2011). However, few users report their true location online. Only around 1% of tweets contain accurate location information on where the tweet was created, as retrieved from the Twitter API. (Culotta, 2014). Previous methods use machine learning models trained on the textual content of the tweet and the user’s past tweets to identify city-level location information (see § 2). These methods are heav- ily dependent on heuristics and the granularity of the training data: any extension of the techniques would require intense restructuring of the classifiers. Investigation into a different geographic re- gion would require new data, retraining the classifiers, and a complete rework of the location types to be identified. Furthermore, similar methods require large amounts of data, e.g. all available tweets from each user or a large social network graph. These methods are often time- and cost- prohibitive: access to a large portion of the Twitter stream is expensive. 1 In contrast, we attempt to predict geolocations given only a single tweet. In this paper, we examine the reliability and accuracy of predicting tweet origin locations based on meta-content of the of the tweet itself, specifically, the user-supplied ‘location’ and ‘description’ fields, as well as propose a lightweight system for identifying the location of a user. 1 http://readwrite.com/2010/11/17/twitter_to_sell_50_of_all_tweets_for_360kyear_thro/
Prospect of Bioremediation Using Synthetic Biology Approach in Indonesia

Cellular systems can be engineered by synthetic biology approach to make a controllable bioremediation system. Several teams competing in the International Genetically Engineered Machine (iGEM) competition have utilized the potency of synthetic biology for bioremediation. This review highlighted several ideas. One of them is the designing a whole-cell biocatalyst that can degrade PET component in plastic waste. Rice blast ( Magnaporthe grisea ) produces cutinase, thus its gene encoding cutinase can be used as substitute in the system. Regulation of the application is also discussed. It is hoped that research and implementation of bioremediation using synthetic biology in Indonesia can be developed. Keywords : Biodiversity; bioremediation; iGEM; Indonesia; synthetic biology
Propagación y Extinción de Incendios Forestales y Urbanos para Entornos de Entrenamiento Virtuales

La formacion de los bomberos es un proceso que incluye contenidos practicos sobre como actuar ante incendios forestales y urbanos. La utilizacion de simuladores fisicos tiene limitaciones impuestas por las condiciones de seguridad requeridas. Realizar practicas controladas en condiciones reales esta tambien altamente limitado por razones de factibilidad y de seguridad. Por tanto, la utilizacion de sistemas de entrenamiento de Realidad Virtual tiene especial relevancia.Las aportaciones de esta tesis estan centradas en tres aspectos. El primero es el desarrollo de un entorno virtual para la simulacion del entrenamiento e bomberos. Los escenarios considerados incluyen entornos forestales urbanos y mixtos. El entorno virtual puede ser accedido por bomberos que asumen distintos roles.El segundo es la generacion de los algoritmos necesarios de la propagacion y extincion de incendios dentro de los parametros de interactividad del simulador. Para cumplir estos requisitos, se ha reducido la complejidad algoritmica a los elementos mas fundamentales, entre ellos, la pendiente del terreno y la velocidad y direccion del viento. Ademas, se han anadido diversos efectos que aportan realismo a la propagacion del fuego y su extincion: Spotting Fires, evaporacion, modelo WaterJet.La definicion de los escenarios incluye la clasificacion del terreno o uso del suelo, los edificios y las barreras. La reconstruccion de escenarios reales a partir de informacion existente plantea problemas de heterogeneidad entre las distintas fuentes. La tercera aportacion de esta tesis presenta las tecnologias semanticas como herramientas para solucionar los problemas de heterogeneidad de los datos y los distintos roles de los usuarios del sistema.
The accuracy of the heat index to explain the excess of mortality and morbidity during heat waves – a case study in a mediterranean climate

Abstract The aim of this contribution was to evaluate the accuracy of a well known human comfort index, the heat index, to anticipate the effects of the July 2006 heat wave in mortality (all causes) and morbidity (all causes, respiratory and circulatory disease). Our assessment was done to all citizens, to people of the 75+ cohort and to each gender, in Porto. For further statistical analysis, we calculated an expected number of admissions by averaging the admissions recorded during the comparison period. The 95% confidence interval was calculated, using a standard method based on the t-distribution, for differences between independent means with different population variances, using the Leveane test to evaluate the variance’s homogeneity. During the 2006 heat wave, a 52% mortality excess was registered relatively to the expected mortality (p < 0.001), for all cohorts of the population. The admissions excess for all ages included the admissions due to respiratory diseases (p < 0.029), pneumonia (p < 0.001) and chronic obstructive pulmonary disease (p < 0.001). For the 75+ cohort, the admissions due to respiratory diseases (p < 0.017), pneumonia (p < 0.001) and heart failure (p < 0.610) were also statistically high. The obtained results confirm that the heat index is a truthful method to anticipate the negative impacts of heat waves in human health even in climate contexts adapted to hot summers like at Porto - a Mediterranean tempered climate. The impacts of July 2006’s heat wave in the increase of mortality (all causes) and in respiratory morbidity (all population and 75+cohort) was evident.
Wavelength-Agile Silicon Photonic Integrated Circuit for Low-Cost Optical Receiver

We report our recent work on wavelength-agile silicon photonic integrated circuit for low-cost optical receiver, which includes a monolithic integrated germanium p-i-n photodetector and a tunable filter. The circuit is fabricated using standard CMOS technology on SOI platform, paving the way for further integration with more optical building blocks and CMOS transistor circuits. The wavelength tuning range of the integrated circuit is ~11.5 nm along with the tuning speed of less than 400 μs. The tuning efficiency is ~0.16 nm/mW. The measured fiber-to-PD responsivity of the photonic integrated circuit is ~0.10 A/W. A photonics packaging structure for the silicon PIC is also proposed.
Central Bank Independence and Economic Performance

This paper examines the influence that several factors may have on the relationship between legal Central Bank Independence (CBI), on the one hand, and the inflation and real GDP growth on the other. Using multivariate regression analysis for 39 OECD during the two periods, 1991-1998 and 1999-2006, we show that even if we include several control variables in the regression, the negative relationship between CBI and inflation, and the lack of relationship between CBI and the variability of real GDP growth remaining were unaffected. Also, we decompose the index of CBI into its four components and we examine whether they matter for inflation, for real GDP growth and for the sacrifice ratio.
Rapport de Recherche A Constraint Programming Approach for Constrained Clustering

Clustering is an important task in Data Mining and many algorithms have been designed for it. It has been extended to semi-supervised clustering, so as to integrate some previous knowledge on objects that must be or cannot be in the same cluster, and many classical algorithms have been extended to handle such constraints. Other kinds of constraints could be specified by the user, as for instance the sizes of the clusters or their diameters, but adding such constraints generally requires to develop new algorithms. We propose a declarative and generic framework, based on Constraint Programming, which enables to design a clustering task by specifying an optimization criterion and some constraints either on the clusters or on pairs of objects. In our framework, several classical optimization criteria are considered and they can be coupled with di↵erent kinds of constraints. Relying on Constraint Programming has two main advantages: the declarativity, which enables to easily add new constraints and the ability to find an optimal solution satisfying all the constraints (when there exists one). On the other hand, computation time depends on the constraints and on their ability to reduce the domain of variables, thus avoiding an exhaustive search.
Distributed Average Consensus with Bounded Quantizer and Unbounded Input

This paper considers distributed average consensus using finite-bit bounded quantizer with possibly unbounded data. Under the framework of the alternating direction method of multipliers (ADMM), we develop distributed averaging algorithms where each node iteratively updates using only the local information and finitely quantized outputs from its neighbors. It is shown that all the agent variables either converge to the same quantization level or cycle around the data average after finite iterations. An error bound for the consensus value is established, which turns out to be the same as that of using the unbounded rounding quantizer provided that an algorithm parameter (i.e., ADMM step size) is small enough. We also analyze the effect of the algorithm parameter and propose an adaptive parameter selection strategy that only requires knowledge of the number of agents in order to accelerate the algorithm with certain consensus accuracy guarantee. Finally, simulations are performed to illustrate the effectiveness of the proposed algorithms.
Study the Association between Diet Program on Human Semen, Biological Profile, and Anthropometric Measurements in obese men

Obesity has grown leading global health issues owing to its strong association with a high incidence of diseases that including male infertility. Infertility is the disability of a sexually active, non-contracepting couple to achieve pregnancy and reproduce. Congenital factors, acquired urogenital abnormalities, urogenital tract infections, endocrine disturbances, genetic abnormalities, immunological factors as well as exogenous factors, medications, toxins, irradiation, obesity and lifestyle factors are among of infertility causes. Seminal analysis and serum levels of testosterone (T), luteinizing hormone (LH), follicle stimulating hormone (FSH) thyroid-stimulating hormone (TSH), Triiodothyronine (T3), Thyroxine (T4) as well as biological profile and anthropometric measurements in obese men evaluated before and after six month weight loss programme as compared with baseline and reference range. There is a significant reduction in weight and high improvement semen, hormonal, biological profile and anthropometric measurements as compared to the reference range.
Creating online videos that engage viewers

The Holy Grail of modern online marketing is video content that goes viral, meaning that it captures an enormous number of views and leads audiences to share, comment or click that they like a video. Various experts have ventured theories about what kind of content makes for a hit. The advice varies widely and is even contradictory. Depending on the expert, success is thought more likely if a video is humorous, shocking, dramatic, topical, warm, arousing, angry, scary, socially beneficial, cute, violent, sexy, uplifting, intriguing, quirky, interesting, authoritative, tear-jerking, educational, controversial or baby- and animal-filled. One of the reasons for the various views is that researchers have often looked at only popular videos and did not compare the popular clips with the content almost no one saw. To see if they could clarify some of the contradictions, the authors examined a mix of popular and unpopular videos, then systematically coded and empirically tested the effect of each element on some relatively objective and observational measures of viewer engagement. The authors assigned a team of research assistants to watch 750 videos and to independently score each on a range of attributes. Did the video feature babies, attempt to be funny or use sexually suggestive content? How would watching the video make the typical viewer feel? They collected information on dozens of different video elements and correlated these with three measures of engagement: the number of times people left comments on the video, the overall liking index for each video (calculated by subtracting the number of dislikes from likes) and the number of views. The authors key finding? Emotionally surprising videos generated liking and views more than any kind of specific content element they studied. The authors also looked at novel and incongruous content and found that both were associated with feelings of surprise, which increased views and liking. To get viewers attention by surprising them, marketers have two good choices: Show viewers something they have never seen before, or show them two things they are familiar with but in an original, juxtaposed way
A panel regression method for quantifying the convergence of house prices

The convergence among house prices has attracted much attention from researchers. Previous research mainly utilised a time-series regression method to investigate convergences of house prices, which may ignore the heterogeneity of houses across cities. This research developed a panel regression method, by which the heterogeneity of house prices can be captured. Seemingly unrelated regression estimators were also adapted to deal with the contemporary correlations across cities. Investigation of the convergence among house prices in the Australian capital cities was carried out by using the developed panel regression method. Results suggested that house prices converge in Sydney, Adelaide and Hobart but diverge in Darwin.
ENRICHMENT OF PHENOLIC CONTENT OF BREAD BY USING OF MEDICINAL AND AROMATIC PLANTS

In recent years, consumers' interest in functional foods has been increasing. The main reason for this, is the functional foods, with phenolic compounds and natural antioxidants, have positive effects on human health. For this purpose, many enriched product formulations are being developed. Especially the studies on enriching to increase the nutritional value of bread which is consumed in daily diet at every meal, are gaining importance day by day. In this study, it was aimed to enrich the phenolic content and increase the antioxidant functionality of bread by adding medicinal and aromatic plants/plant seeds to traditional bread. The total phenolic contents (TPC) of bread samples made with different formulations were found based on Folin-Ciocalteu method. When results were compared with the control bread, the contribution to the TPC of the cinnamon, was found quite very high, and it can be suggested to use it in the production of functional bread.
ROMANIA AND THE EURO. A RELATIVE POSITIONING AMONG THE CANDIDATES

For most Eastern European countries that experienced former communist regimes, the EU accession and the use of European symbols – such as the EURO currency – represents both the integration into a strong and efficient economic system, but also the guarantee of a system based on real democratic values. Romania has been the first of this category of states, that has expressed the real and strong attachment for the European Union, its symbols and values. This paper wishes to analyze the key elements concerning Romania’s accession to the EMU and finally the EURO adoption: Romania’s actual macroeconomic situation, the situation of the real and nominal convergence to the accession criteria – in a fuzzy clustering approach in order to determine optimum sequencing of the Euro adoption and the envisaged official calendar for the EURO adoption.
What Makes a Good Coach? Examining the Antecedents of Autonomy-Supportive Behaviors

Various sport associations employ coaches to shape the environment that children and youth experience. Specifically, a coach’s style of interaction often directly or indirectly influences youth participation and motivation. While research suggests that adopting autonomy-supportive coaching behaviors enhance children and youth well-being and promote overall healthy development, not every coach uses this particular coaching strategy. The present study therefore sought to examine the determinants of coaches’ autonomy-supportive behaviors. The constructs under investigation included ego-involvement, coaching efficacy, perceived athlete competence, and pressure. Data were collected from 100 coaches who currently coach an individual or team sport within the Montreal region. The results demonstrated that motivation efficacy, a sub-factor within coaching efficacy, and perceived athlete competence were positively related to coaches’ autonomy-supportive behaviors. The findings present important implications for practitioners regarding training and development opportunities. In addition, suggestions are provided for managers to superimpose the model on the supervisor-employee relationship.
VITRIFIED BOVINE OOCYTES AFTER IN VITRO FERTILIZATION

___________________________________________ 10 Introduction _________________________________________ 10 Materials and Methods _________________________________ 11 Results _____________________________________________ 17 Discussion __________________________________________ 20 CHAPTER III: RESCUE OF VITRIFIED-WARMED BOVINE OOCYTES BY ROCK INHIBITION ______________________________ 23 Abstract ____________________________________________ 23 Introduction _________________________________________ 23 Materials and Methods _________________________________ 26 Results _____________________________________________ 30 Discussion __________________________________________ 35___________________________________________ 23 Introduction _________________________________________ 23 Materials and Methods _________________________________ 26 Results _____________________________________________ 30 Discussion __________________________________________ 35 CHAPTER IV: CONCLUSIVE SUMMARY _____________________________ 37 REFERENCES ____________________________________________________ 39 LIST OF PUBLICATIONS __________________________________________ 50 ACKNOWLEDGMENTS ____________________________________________ 51