Miracle-dz/UniFAR-FTUs huggingface dataset:
Multivariate Statistical Interpretation of Physical, Chemical and Microbiological Data of Potable Water in the Context of Public Health

In the present study three representative areas, lowland (LL), mountainous (M) and coastal (C), have been selected for the collection of water samples, in the Prefectures of Larissa, Trikala, Karditsa and Magnesia, Thessaly, central Greece. Three physical: (electric conductivity (EC, 25 0 C, μS/cm), pH, total hardness (TH, mg/L CaCO3)), fourteen chemical (mg/L): (chloride (Cl ), nitrate (NO3 ), nitrite (NO2 ), bicarbonate (HCO3 ), carbonate (CO3 -2 ), potassium (K + ), sodium (Na + ), ammonium (NH4 + ), calcium (Ca +2 ), magnesium (Mg +2 ), zing (Zn), iron Fe), manganese (Mn) and lead (Pb)) and eight microbiological: (total bacteriological flora in 22 0 C and in 36 0 C (TBF 22 0 C and TBF 36 0 C), total coliforms, Escherichia Coli, Staphylococcus Aureus, Enterococci, Clostridium Perfrigens, Pseudomonas Aeruginosa) parameters have been determined and analyzed for one-year period (2006). The mean values of the studied physical and chemical parameters, except trace elements, were found to be within the limits mentioned in the 98/83/EEC Directive. The analysis of microbiological variables shows that a big number of the studied water samples are inappropriate for human consumption because of the presence of microbes.
One singer , many voices : Distinctive within-singer groupings in Tom Waits

Timbre plays an essential role in popular music (Fink et al., 2018, p. 2), in which a unique sound can craft a distinctive identity for a band or artist even as other musical features show less variability, such as stock chord progressions and more limited melodies. A singer’s vocal quality alone can create a recognizable persona (Tagg, 2012, p. 350) and become associated with the singer’s brand. Moreover, the human voice is one of the most sophisticated and musically relevant sources of timbral variety in music, and humans are remarkably adept at deciphering timbral cues in voices. Hughes et al. (2004) found that listeners are consistently accurate at inferring speakers’ age, height, weight, socio-economic status, personality traits, and emotional and mental states from listening to recordings alone. These results suggest that one may be able to define “sonic fingerprints” for individual singers by examining distinctive acoustic characteristics of their voice, at least in theory. However, pinpointing the sonic markers that distinguish one singer from another by examining only the audio source can be difficult, and the acoustic parameters associated with recordings of different singers are likely confounded by many other recording artifacts.
A Model for Executive Crisis & Risk Management in Construction Projects

Given that our country Iran is susceptible to a large number of crises, one of the most important factors affecting on increasing or decreasing the amount of damage and number of casualties in the event of natural disasters is the presence or absence of effective crisis management system. So the attempt of this paper is to present solutions towards establishing a dynamic or Functional crisis management system in four steps of pre-crisis, Start of the crisis, during the crisis and after the crisis. Undoubtedly, approach to a method of implementation in this field help to reduce the events happened by these crisis situations. For these reasons, paying more attention to the crisis management bring many cases as civil defense, sustainable development and development costs reduction including infrastructures and installations.
Selfishness Level of Strategic Games (Short Version)

We introduce a new measure of the discrepancy in strategic games between the social welfare in a Nash equilibrium and in a social optimum, that we call selfishness level . It is the smallest fraction of the social welfare that needs to be offered to each player to achieve that a social optimum is realized in a pure Nash equilibrium. The selfishness level is unrelated to the price of stability and the price of anarchy and in contrast to these notions is invariant under positive linear transformations of the payoff functions. Also, it naturally applies to other solution concepts and other forms of games. We study the selfishness level of several well-known strategic games. This allows us to quantify the implicit tension within a game between players’ individual interests and the impact of their decisions on the society as a whole. Our analysis reveals that the selfishness level often provides more refined insights into the game than other measures of inefficiency, such as the price of stability or the price of anarchy. In particular, the selfishness level of finite games that have a generalized ordinal potential games is finite, while that of weakly acyclic games can be infinite. We derive explicit bounds on the selfishness level of fair cost sharing games and linear congestion games, which depend on specific parameters of the underlying game but are independent of the number of players. Further, we show that the selfishness level of the n-players Prisoner’s Dilemma is 1/(2n− 3), that of the n-players public goods game is (1− c n )(c− 1), where c is the public good multiplier, and that of the Traveler’s Dilemma game is 1 2 . Finally, the selfishness level of Cournot competition (an example of an infinite potential game), Tragedy of the Commons, and Bertrand competition is infinite. Centre for Mathematics and Computer Science (CWI) and University of Amsterdam, The Netherlands. Address: Centrum Wiskunde & Informatica, Science Park 123, 1098 XG, Amsterdam, the Netherlands. Email: k.r. apt@cwi.nl. Centre for Mathematics and Computer Science (CWI) and VU University Amsterdam, The Netherlands. Address: Centrum Wiskunde & Informatica, Science Park 123, 1098 XG, Amsterdam, the Netherlands. Email: g.schaefer@cwi.nl.
Factors Affecting Fans’ Decisions to Attend a Professional Basketball League in Thailand

This research is one of the first to consider an emerging market, exploring the factors affecting the decisions of fans to attend a professional basketball league game in Thailand. Fan acceptability and fan base are important measures for a successful league in the early stages of development. The study extracted 19 factors from the literature and from in-depth interviews with a panel of experts. The factors were assumed to be potentially useful in achieving the goal of increasing both fan acceptability and fan base. A survey instrument was developed by analyzing the past studies of fan motives across different sports, and modifying them to fit the context of Thailand. Data was collected from fans who attended the TBL games. The research explored the factors by applying Structural Equation Modeling (SEM), presenting conclusions along with a discussion, practical implications, and limitations of the study.
Norfloxacin Promotes Generation of “Spider-like” Formations and SOS Response Induction in Escherichia coli K-12 Macrocolony Biofilms in a Regime below of Sub-inhibitory Concentrations

Quinolones are an important kind of antibiotics employed in the treatment of clinical relevant bacterial infections. It is well known that quinolones causes DNA damage inducing the SOS response system of DNA repair. Many ideas about the effect of these antibiotics on bacterial physiology have been obtained through of treatment of planktonic cultures and sessile biofilms. However, despite these studies, many aspects of how quinolones affect to bacterial metabolism and growth of colonies remains still poorly understood. Here, I report that norfloxacin quinolone antibiotic interferes with the normal development of Escherichia coli K-12 old macrocolony biofilms, altering its morphology, abolishing the formation over its surface of characteristic autoaggregative chondrulelike formations observed in macracolonies non treated with norfloxacin; but intriguingly the norfloxacin treatment induces in this kind of biofilms the formation of a new kind of superficial structures that exhibit a “spider-like” morphology, which has not previously been reported. Interestingly, these spider-like formations are also found outside the colony. Most importantly, when macrocolony biofilms carrying a recA-gfp transcriptional fusion were ordered sequentially in rows, the norfloxacin promoted the SOS induction of recA-gfp activity as well as the alteration of morphology of E. coli K-12 macrocolonies in norfloxacin concentrations lower that the sub-inhibitory Original Research Article Gomez; JABB, 2(3): 154-164, 2015; Article no.JABB. 2015.017 155 concentrations, in a regime of influence that is not expected to be active. The biological implications of these findings are discussed.
An Approach to User Feedback Processing in Order to Increase Clustering Results Quality

Dataset clustering could have more than one “right” result depending on a user intention. For example, texts could be clustered according to their topic, style or author. In case of unsatisfactory results, a data scientist needs to re-construct a feature space in order to change the results. The relation between the feature space and the result are often quite complicated. The latter results in building several clustering models to explore useful relations. Interactive clustering with feedback is aimed to cope with this problem. In this paper an approach to user feedback processing during clustering is presented. The approach is based on end-to-end clustering and uses an autoencoder neural network. This technique allows to adjust iteratively the computing clusters without changing feature space.
White‐Tailed Deer Population Dynamics Following Louisiana Black Bear Recovery

Changing predator communities have been implicated in reduced survival of white‐tailed deer (Odocoileus virginianus) fawns. Few studies, however, have used field‐based age‐specific estimates for survival and fecundity to assess the relative importance of low fawn survival on population growth and harvest potential. We studied white‐tailed deer population dynamics on Tensas River National Wildlife Refuge (TRNWR) in Louisiana, USA, where the predator community included bobcats (Lynx rufus), coyotes (Canis latrans), and a restored population of Louisiana black bear (Ursus americanus luteolus). During 2013–2015, we radio‐collared and monitored 70 adult (≥2.5 yrs) and 21 yearling (1.5‐yr‐old) female deer. Annual survival averaged 0.815 (95% CI= 0.734–0.904) for adults and 0.857 (95% CI= 0.720–1.00) for yearlings. We combined these estimates with concurrently collected fawn survival estimates (0.27; 95% CI= 0.185–0.398) to model population trajectories and elasticities. We used estimates of nonhunting survival (annual survival estimated excluding harvest mortality) to project population growth (λ) relative to 4 levels of harvest (0, 10%, 20%, 30%). Finally, we investigated effects of reduced fawn survival on population growth under current management and with elimination of female harvest. Despite substantial fawn predation, the deer population on TRNWR was increasing (λ= 1.06) and could sustain additional female harvest; however, the population was expected to decline at 20% (λ= 0.98) and 30% (λ= 0.94) female harvest. With no female harvest, the population was projected to increase with observed (λ= 1.15) and reduced fawn survival (λ= 1.02), but the population could not sustain current female harvest (10%) if fawn survival declined (λ= 0.90). For all scenarios, adult female survival was the most elastic parameter. Given the importance of adult female survival, the relative predictability in response of adult survival to harvest management, and the difficulty in altering fawn survival, reducing female harvest is likely the most efficient approach to compensate for low fawn survival. On highly productive sites such as ours, reduction, but not necessarily elimination, of harvest can mitigate effects of low fawn survival on population growth. © 2020 The Wildlife Society.
Performance Improvement with Intra-site CoMP for C-RAN Networks

Coordinated multi-point (cid:2884) CoMP (cid:2885) transmission adopt the Base Stations (cid:2884) BS (cid:2885) cooperatively process User Equipment (cid:2884) UE (cid:2885) connected to multi-points to improve UEs spectral efficiency at the cell edge and eliminate the inter-cell interference (cid:2884) ICI (cid:2885) . This technology is important for UEs at the cell edge. Considering the real environment, energy consumption and cost situation, we propose in a Local C-RAN architecture deployment of CoMP and observed its spectral efficiency and Signal-to-Interference and Noise Ratio (SINR) in intra-site CoMP scenarios. Simulation results show that this approach has significantly enhanced than Non-CoMP.
Quantifier-elimination-based interval computations in beam problems studied by using the approximate methods of finite differences and of finite elements

The rather recent interesting computational method of quantifier elimination already implemented in four computer algebra systems has been already used in many problems of engineering interest including several problems of applied and computational mechanics. Among the previous applications of interest here is mainly the problem of a beam with parametric inequality constraints and under the presence of a loading parameter. This problem was solved by the popular methods (i) of finite differences and (ii) of finite elements in combination with the method of quantifier elimination. Here the same approach is generalized to the case where the loading parameter belongs to an interval. The methods (i) of finite differences and (ii) of finite elements are used again (leading to parametric systems of linear equations) with the computation of the approximate intervals concerning (i) the dimensionless deflection, (ii) the rotation and (iii) the dimensionless bending moment on the whole beam computed on the basis of their values at the nodes used on the beam. In the application of the finite difference method both (i) the purely existential case and (ii) a mixed universal–existential case are considered evidently with respect to the interval loading parameter. The REDLOG computer logic package of the REDUCE computer algebra system has been used again in the present interval computations and the excellent convergence of the obtained approximate intervals computed with the finite difference method is observed. In the purely existential case, up to 3072 intervals on the beam have been successfully used and this is an extremely satisfactory situation in quantifier elimination because it concerns a total number of 3076 variables.
Evaluating Journal Impact Factor: a systematic survey of the pros and cons, and overview of alternative measures

Abstract Background: Journal Impact Factor (JIF) has several intrinsic flaws, which highlight its inability to adequately measure citation distributions or indicate journal quality. Despite these flaws, JIF is still widely used within the academic community, resulting in the propagation of potentially misleading information. A critical review of the usefulness of JIF is needed including an overview of the literature to identify viable alternative metrics. The objectives of this study are: (1) to assess the usefulness of JIF by compiling and comparing its advantages and disadvantages; (2) to record the differential uses of JIF within research environments; and (3) to summarize and compare viable alternative measures to JIF. Methods: Three separate literature search strategies using MEDLINE and Web of Science were completed to address the three study objectives. Each search was completed in accordance with PRISMA guidelines. Results were compiled in tabular format and analyzed based on reporting frequency. Results: For objective (1), 84 studies were included in qualitative analysis. It was found that the recorded advantages of JIF were outweighed by disadvantages (18 disadvantages vs. 9 advantages). For objective (2), 653 records were included in a qualitative analysis. JIF was found to be most commonly used in journal ranking (n = 653, 100%) and calculation of scientific research productivity (n = 367, 56.2%). For objective (3), 65 works were included in qualitative analysis. These articles revealed 45 alternatives, which includes 18 alternatives that improve on highly reported disadvantages of JIF. Conclusion: JIF has many disadvantages and is applied beyond its original intent, leading to inaccurate information. Several metrics have been identified to improve on certain disadvantages of JIF. Integrated Impact Indicator (I3) shows great promise as an alternative to JIF. However, further scientometric analysis is needed to assess its properties.
Ectoparasites Increase the Cost of Reproduction in their Hosts

Parasites are hypothesized to increase the cost of reproduction in their hosts due to their time and energy drain. I experimentally studied the effects of the haematophagous tropical fowl mite (Ornithonyssus bursa, Berlese (Macronyssidae, Gamasida)) on the within-season costs of reproduction in their swallow (Hirundo rustica L.) hosts by simultaneously manipulating (i) the size of first clutches (which were either increased by one egg, kept as a control, or decreased by one egg), and (ii) the mite loads of first clutch nests (nests were either sprayed with a pesticide or kept as controls). The experimental treatments were successful as evidenced from the effect of the clutch size manipulation on clutch and subsequent brood size, and from the effect of the parasite manipulation on subsequent mite loads
Efficient Methods for Parameter Estimation of Ordinary and Partial Differential Equation Models of Viral Hepatitis Kinetics

Parameter estimation in mathematical models that are based on differential equations is known to be of fundamental importance. For sophisticated models such as age-structured models that simulate biological agents, parameter estimation that addresses all cases of data points available presents a formidable challenge and efficiency considerations need to be employed in order for the method to become practical. In the case of age-structured models of viral hepatitis dynamics under antiviral treatment that deal with partial differential equations, a fully numerical parameter estimation method was developed that does not require an analytical approximation of the solution to the multiscale model equations, avoiding the necessity to derive the long-term approximation for each model. However, the method is considerably slow because of precision problems in estimating derivatives with respect to the parameters near their boundary values, making it almost impractical for general use. In order to overcome this limitation, two steps have been taken that significantly reduce the running time by orders of magnitude and thereby lead to a practical method. First, constrained optimization is used, letting the user add constraints relating to the boundary values of each parameter before the method is executed. Second, optimization is performed by derivative-free methods, eliminating the need to evaluate expensive numerical derivative approximations. The newly efficient methods that were developed as a result of the above approach are described for hepatitis C virus kinetic models during antiviral therapy. Illustrations are provided using a user-friendly simulator that incorporates the efficient methods for both the ordinary and partial differential equation models.
Efficient Liability Assignment: Is Coupling a Necessity?

The authors would like to thank Debabrata Pal, Papiya Ghosh, Siddhi Gyan Pandey, Taposik Banerjee and participants of National Conference on Economic Theory and Policy, organized by School of Liberal Studies, Ambedkar University Delhi, 9-10 March 2018 and Conference on Law and Economics: Theoretical & Empirical Explorations, organized by NALSAR Hyderabad, 19-20 January 2019 for helpful comments and suggestions.
sensMOD - Computational Design through the lens of Henri Lefebvre's Spatial Theory

Spatial productivity is the first of the elements comprising sensMOD, a student elective that implemented a methodology addressing the exigent need of our time for transformation in the architecture, engineering and construction (AEC) sector. The second and third elements of sensMOD are parts and interaction which focus attention on the nature of complexity and connectivity in our networked world. The paper proposes a methodology that was used to guide the teaching of an elective for third year architecture students at a UK university. Its wider purpose is to contribute to discussion concerning the dysfunctional state of an AEC sector that needs to consider its productivity as projections of wider networks of resource and energy relationships. Henri Lefebvre's spatial theory (1991) guides the narrative and formulation of sensMOD.
Changement de l'épidémiologie de Klebsiella pneumoniae productrice de -lactamases à spectre élargi The changing epidemiology of extended spectrum -lactamase-producing Klebsiella pneumoniae

In the last two decades, Klebsiella pneumoniae demonstrated some characteristics of acquisition of plasmids coding extended spectrum -lactamases (ESBL). The review data showed an increase in worldwide pre- valence of ESBL and a temporal shift in the prevalence of ESBL types in K. pneumoniae during this last decade. CTX-M-15 seems to be the predominant ESBL type in K. pneumoniae in some parts of the world. The dissemina- tion of several nosocomial CTX-M-15-producing K. pneumoniae clones was reported unlike the worldwide dissemination of a single virulent ST131 CTX- M-15 producing Escherichia coli clone. The diversity of plasmids carrying the blaCTX-M-15 gene in K. pneumoniae suggested the frequent transfer of this gene between different replicons. The acquisition of the blaCTX-M-15 gene by K. pneumoniae was probably occurred via horizontal transfer from E. coli.
Breast cancer classification based on improved rough set theory feature selection

Breast cancer is one of the leading causes of death among the women. Mammogram analysis is the most e ﬀ ective method that helps in the early detection of breast cancer. In this paper we have made an attempt to classify the breast tissue based on Statistical features of a mammogram which extracted using simple image processing techniques with rough set theory. The proposed scheme uses texture models to capture the mammographic appearance within the breast. The statistical features extracted are the mean, standard deviation, smoothness, third moment, uniformity and entropy which signify the important texture features of breast tissue. Based on the values of these features of a digital mammogram, we have made an attempt to classify the breast tissue in to three basic categories normal, benign, and malignant given in the data base (mini-MIAS database). This categorization would help a radiologist to detect a normal breast from a cancer a ﬀ ected breast. Rough set theory can be regarded as a new mathematical tool for imperfect data analysis. Rough set based data analysis starts from a data table called a decision table. Each row of a decision table induces a decision rule, which speciﬁes decision (action, results, outcome, etc.). We can know important data rules by using core and reduct which elimination of duplicate rows and elimination of superﬂuous values of attributes.