Miracle-dz/UniFAR-FTUs huggingface dataset:
SUSY naturalness without prejudice.

Unlike the Standard Model (SM), supersymmetric models stabilize the electroweak (EW) scale v at the quantum level and predict that v is a function of the TeVvalued SUSY parameters (�) of the UV Lagrangian. We show that the (inverse of the) covariance matrix of the model in the basis of these parameters and the usual deviation �� 2 (from � 2 of a model) automatically encode information about the “traditional” EW fine-tuning measuring this stability, provided that the EW scale v ∼ mZ is indeed regarded as a function v = v(). It is known that large EW fine-tuning may signal an incomplete theory of soft terms and can be reduced when � �
Study the Influence of Services Quality and Brand Equity on Trust of Customers ( Case Study : Refah Bank in Iran )

The present study aimed to explain the effect of quality of services and brand equity on trust of customers (case study: Refah bank). The study method is descriptive-correlation, of path analysis. The study population is customers of Refah bank of Tehran branches, 388 participated in the study. They responded the questionnaires of quality of services and brand equity and brand trust. For data analysis, path analysis with Lisrel software is applied. The results showed that quality of services had positive and significant effect on brand equity and brand trust. The indirect effect of quality of services on brand trust via brand equity is positive and significant. The indirect effect of quality of services via brand equity and brand trust is positive and significant. The results emphasize on the role of quality of services in brand equity and brand trust.
Analysis and design of an in-pipe system for water leak detection

In most cases the deleterious effects associated with the occurrence of leaks may present serious problems and therefore, leaks must be quickly detected, located and repaired. The problem of leakage becomes even more serious when it is concerned with the vital supply of fresh water to the community. In addition to waste of resources, contaminants may infiltrate into the water supply. The possibility of environmental health disasters due to delay in detection of water pipeline leaks has spurred research into the development of methods for pipeline leak and contamination detection. Leaking in water networks has been a very significant problem worldwide, especially in developing countries, where water is sparse. Many different techniques have been developed to detect leaks, either from the inside or from the outside of the pipe; each one of them with their advantages, complexities but also limitations. To overcome those limitations we focus our work on the development of an in-pipe-floating sensor. The present paper discusses the design considerations of a novel autonomous system for in-pipe water leak detection. The system is carefully designed to be minimally invasive to the flow within the pipe and thus not to affect the delicate leak signal. One of its characteristics is the controllable motion inside the pipe. The system is capable of pinpointing leaks in pipes while operating in real network conditions, i.e. pressurized pipes and high water flow rates, which are major challenges.Copyright © 2011 by ASME
Evaluation of Feeding Different Digestible Lysine Intake Levels on Semen Characteristics and Body Weight of Broiler Breeders During Pre-Peak and Peak Production

Because research revealing the impact of Lys on reproduction in Broiler Breeders (BB) is sparse, this study was conducted to evaluate the impact of digestible Lys (dLys) on BB semen characteristics and BW. Eighty males were caged individually from 20 to 39 wk of age. Treatment 1 and 2 diets had the same level of dLys (1,000 mg/rooster/day) in a corn-soybean meal based diet (Soy 1000) and distillers dried grains with solubles (DDGS; DDGS 1000) diet, respectively. Treatment 3, 4 and 5 diets had the inclusion of DDGS in order to titrate dLys intake levels of 850 (DDGS850), 700 (DDGS700) and 550 (DDGS550) mg/rooster/day, respectively. Body weight and semen samples were determined every 2 wk from 26 to 38 wk of age. Immediately after semen collection, samples were analyzed for semen volume, sperm viability, sperm concentration and the Sperm Quality Index (SQI). BW of roosters fed Soy 1,000 was higher than the other treatments from wk 26 through wk 38. This excess weight could be due to over estimating the energy content of DDGS resulting in diets that were not isocaloric. At 28 wk and continuing through wk 38, the percentage of dead sperm was highest in roosters fed Soy 1000. Also, at wk 38 plasma testosterone concentrations were higher for roosters fed Soy 1000. In conclusion, varying levels of dLys (1,000-550 mg/rooster/day) in a DDGS based diet does not appear to cause adverse effects on BB male semen quality during pre-peak and peak production.
ETS and Technological Innovation: A Random Matching Model

The present paper investigates the functioning of an Emission Trading System (ETS) and its impact on the diffusion of environmental-friendly technological innovation in the presence of firms’ strategic behaviours and sanctions to non-compliant firms. For this purpose, we study an evolutionary game model with random matching, namely, a context in which a population of firms interact through pairwise random matchings. We assume that each firm has to decide whether to adopt a new clean technology or keep on using the old technology that requires pollution permits to operate and that the strategy whose expected payoff is greater than the average payoff spreads within the population at the expense of the alternative strategy (the so-called replicator dynamics). We investigate the technological dynamics and the stationary states that emerge from the model. From the analysis of the model, we show that by properly modifying the penalty on non-compliant firms, it is possible to shift from one dynamic regime to another and that an increase in permits trade can promote the diffusion of innovative pollution-free technologies.
Adding Suspense to a Story Generation System through a Cognitive Model of the Impact of Affective Terms

Suspense is known to play a crucial role in storytelling phenomena in general, and computational storytelling systems in particular. While several story generation algorithms have addressed suspense, they have usually done so either by focusing on the narratology-related aspects, or by providing functional approximations of the potential response. In this paper, following the overall objective of devising a cognitive model of suspenseful stories, we have adapted a story generation system so that it includes elements represented by affective terms extracted from experiments. In this way, we put the focus on the cognitive aspects. The obtained results suggest that the generation model works and that evaluators perceive levels of suspense comparable to the ones obtained in the previous contributions.
Multi-epoch study of the gamma-ray emission within the M87 magnetosphere model

M87 is a nearby radio galaxy that has been detected at energies ranging from radio to very high energy (VHE) gamma-rays. Its proximity and its jet, misaligned from the line of sight allow detailed morphological studies. The imaging atmospheric Cherenkov technique (from 100 GeV to 10 TeV) provides insufficient angular resolution (few arc-minutes) to resolve the M87 emission region. However, the short time scale variability observed by MAGIC, HESS and VERITAS suggests the TeV emission is coming from a very small region, most likely close to the core. We propose that the variable TeV emission may be produced in a pair-starved region of the central black hole (BH) magnetosphere, i.e. a region where the density of the electron-positron plasma is not sufficient to completely screen the accelerating electric field. The funnel, a low density and magnetically dominated region around the poles, appears as a favourable site of low-density where a Blandford-Znajek process may explain the main properties of the TeV γ-ray emission from M87. We produce a broadband spectral energy distribution (SED) of the resulting radiation and compare the model with the observed fluxes from the nucleus of M87, for both low and high γ-ray activities. We finish with a brief discussion on the connection between the accretion rate and the intermittence in the formation of gaps in the magnetosphere.
A Citizen-Editors Model of News Media

We model a market for news where profit maximizing media outlets choose their editors from a population of rational citizens. We show that when information acquisition is costly, liberal (conservative) citizens find optimal to acquire information from a media outlet having a liberal (conservative) editor. Consequently, we show that depending on the distribution of citizens' ideological preferences, a media outlet may choose to hire a non-moderate editor even in a monopolistic market. Moreover, the higher the degree of competition in the market for news, the more likely that media outlets will hire non-moderate editors. Finally, less moderate editors are more likely to be hired in a news market where the opportunity cost of acquiring information for citizens is low.
MODELING SPECTRAL CHANGES IN SINGING VOICE FOR PITCH MODIFICATION

We present an advanced method to achieve natural modifications when applying a pitch shifting process to singing voice by modifying the spectral envelope of the audio excerpt. To this end, an all-pole spectral envelope model has been selected to describe the global variations of the spectral envelope with the changes of the pitch. We performed a pitch shifting process of some sustained vowels with the envelope processing and without it, and compared both by means of a survey open to volunteers in our website.
A Class Balanced Active Learning Scheme that Accounts for Minority Class Problems : Applications to Histopathology

Classifiers for detecting disease patterns in biomedical image data require manual annotations to serve as ground truth for training and evaluation, but are costly to obtain due to the complexity of the images and the expert medical knowledge required. An intelligent training strategy can maximize the efficiency of manual annotation. In this paper we present a novel class balanced active learning (CBAL) framework for classifier training to detect cancerous regions on prostate histopathology. The active learning (AL) algorithm identifies samples in a set of unlabeled data that will maximize the classification accuracy; only these samples are annotated, reducing the cost of training. We also address the minority class problem where one class (in this case, cancer) is underrepresented. By using a query strategy that adds equal numbers of instances from both object classes (cancer and non-cancer) to the training set, each class is well-represented resulting in high classifier accuracy. Finally, we present a cost model of our CBAL strategy. We use the CBAL framework to train a classifier for finding cancer in images of prostate histopathology, and compare its accuracy against training strategies using random learning (RL) and those that do not enforce equal proportion of instances from both classes. On a dataset of over 12,000 prostate image regions, we find that (1) using CBAL the resultant classifier achieves the maximum possible accuracy (i.e. accuracy obtained by using all available samples for training) by using two orders of magnitude fewer samples, and (2) the predicted cost of CBAL agrees well with the empirically determined cost, which is not significantly higher than RL.
Variability in Life History and Population Structure in a Model Shark Species, Scyliorhinus canicula (Linnaeus 1758)

The small-spotted catshark, Scyliorhinus canicula (Linnaeus, 1758), is one of the most common elasmobranchs in the eastern North Atlantic and the Mediterranean Sea. This small (<100 cm of total length), bottom dwelling oviparous shark ranges from off the British Isles southwards to Senegal, and is also found across the whole Mediterranean basin. In the Atlantic it is often caught as by-catch in demersal fisheries, but its commercial importance is growing through its use as whelk bait. In the Mediterranean it is targeted for consumption, where huge declines from historic levels of abundance have recently been reported. Previous studies have shown that S. canicula from different geographical locations along its range have striking differences in reproductive and life history traits. Specifically, individuals inhabiting regions at higher latitudes have a larger maximum total length and reach sexual maturity at larger body sizes than individuals from regions of inferior latitudinal values. Diverse environmental conditions at different locations have been suggested as a plausible explanation for this phenotypic variability. However, this represents a classic paradigm in biology, where environment and genetic composition can contribute to the observed phenotypic variability in reproductive and life history strategies. We studied a set of life history traits, as maximum length and length at which 50% individuals attain sexual maturity, never before described for the west off Portuguese coast and fit the results to the previously described pattern for the species. Additionally, we explored the potential for a genetic basis on the apparent variability of reproductive traits described. We did so by comparing the pattern of genetic differentiation at a 401 bp fragment of the mitochondrial DNA control region and at 11 nuclear microsatellite markers from ten locations along the species’ range. Maximum length (644 mm) and length at sexual maturity (532 mm for males and 506 – 564 mm for females) for the northern Portuguese coast are in accordance with the previously described pattern of phenotypic variation for S. canicula. The molecular markers detected strong genetic differences between the Mediterranean Sea collections (as off Mallorca, Gulf of Lion, Adriatic Sea and Crete) and those from the Atlantic (North Sea, Irish Sea, British Islands, Cantabrian Sea and off North and South Portugal), in agreement with the major phenotypic differences seen between the two areas in terms of reproductive traits.
Experimental study detection of CD4+ and CD8+ T Cells in the brown adipose tissue

Brown adipose tissues (BAT) have special active functions including thermogenesis, anti-obesity, and anti-diabetic properties. Researchers have shown the immune roles of BAT in relation immune depression in deep hypothermia and lymphocyte accumulation in the spleen as detected in adipectomized rats. In this study we aimed to clarify immune functions of hibernating marmot BAT which continue to be used in pancreatitis treatment in Mongolia. In this study, 10 marmots were selected. The subject pool was limited license are needed for marmot use. Disengaged BAT was located between subcapularis and serratus anterior muscles. It was inserted into 96% of alcohol and 10% formalin for fixation. Histology examination was used with standard protocol of hematoxylin and eosin staining protocol. Fluorescence-activated cell sorting method (Apogee Universal-50, England) was used to count the CD4+ and CD8+ T cells in the BAT of mice. The study selected BALB/c mode, 20 male mice 80-90 days-old. Marmots are not experimental animals therefore reagents of tissue cell count were limited. The BAT (marmot) histology observation showed connective tissue in the lobules reached by blood vessel branches and detected brown fat tissue surrounding follicle which included vessels with blood cells. Regarding tissue cell count results, the BAT detected a total of 24827/μL lymphocytes, which included 2056/μL (5.50%) CD4+ T cells and 991/μL (6.71%) CD8+ T cells, respectively. This study’s results suggest the brown fat is may be an immune organ as shown by the lymphoid tissue follicle and lymphocyte subsets in the BAT.
Abnormal Control Chart Pattern Classification Optimisation Using Multi Layered Perceptron

In today's industry, control charts are widely used to monitor production process. The abnormal patterns of a quality control chart could reveal problems that occur in the process. In the recent years, as an alternative of the traditional process quality management methods, such as Shewhart Statistical Process Control (SPC), Artificial Neural Networks (ANN) have been widely used to recognize the abnormal pattern of control charts. Various types of patterns are observed in control charts. Identification of these Control Chart Patterns (CCPs) can provide clues to potential quality problems in the manufacturing process. Each type of control chart pattern has its own geometric shape and various related features can represent this shape. Feature-based approaches can facilitate efficient pattern recognition since extracted shape features represent the main characteristics of the patterns in a condensed form. The objective of this study was to evaluate the relative performance of a feature-based CCP recognizer compared with the raw data-based recognizer. The study focused on recognition of six commonly researched CCPs plotted on the Shewhart X-bar chart. The ANN-based CCP recognizer trained using the nine shape features resulted in significantly better performance and generalization compared with the raw data-based recognizer.
Interurban Wage and Rent di ff erences : the Value of Air Quality and Crime in Chile

In this article I examine the existence of compensating differentials in the housing and labor markets using data from a national survey in Chile. Contrasting with earlier literature I consider the simultaneous character of decisions made by individual in both the labor and housing market. Emphasis is placed in the joint estimation of both wage and rent equations taking into account the correlation between the error terms in these two equations. A first round of estimations includes an OLS, a SURE and a simultaneous Tobit model. I tested the endogeneity of some amenities of interest using a Hausman test. The hypothesis of endogeneity can not be rejected. Therefore the estimations are corrected for endogeneity using 2SLS and 3SLS. Finally I computed welfare measures for two of the most important problems nowadays in Chile, crime and air pollution. Results show that i) increments in crime rate or air pollution have a negative impact in welfare and ii) welfare measures estimates and their variance are highly biased when the simultaneity is not considered.
Inference of gene regulatory networks for Mus musculus by incorporating network motifs from yeast.

In recent time particular interest has been drawn to the inference of gene regulatory networks from microarray gene expression data. But despite major improvements with data based methods, the network reconstruction from expression data alone still presents a computationally complex (NP-hard) problem. In this work it is incorporated additional information – regulatory motifs from yeast, when inferring a gene regulatory network for mouse genes. It was put forward the hypothesis that regulatory patterns analogous to these motifs are present in the set of mouse genes and can be identified by comparing yeast and mouse genes in terms of sequence similarity or Gene Ontology (The Gene Ontology Consortium 2000) annotations. In order to examine this hypothesis, small permutations of genes with high similarity to such yeast gene regulatory motifs were first tested against simple data-driven regulatory networks by means of consistency with the expression data. And secondly, using the best scored interactions provided by these permutations it were then inferred networks for the whole set of mouse genes. The results showed that individual permutations of genes with a high similarity to a given yeast motif did not perform better than low scored motifs and that complete networks, which were inferred from regulatory interactions provided by permutations, did also neither show any noticeable improvement over the corresponding data-driven network nor a high consistency with the expression data at all. It was therefore found that the hypothesis failed, i.e. neither the use of sequence similarity nor searching for identical functional annotations between mouse and yeast genes allowed to identify sets of genes that showed a high consistency with the expression data or would have allowed for an improved gene regulatory network inference.
Changes in Growth Hormone and Cortisol Profile Due to Lead Induced Toxicity in Labeo rohita

The present study was conducted to investigate the effect of lead (Pb) on the growth hormone (GH) and plasma cortisol level of common carp, Labeo rohita. One hundred Labeo rohita were divided in two equal groups; control and treated. Treated fishes were exposed to 1.4mg/l of lead acetate (1.9% lead concentration i,e., LC50) at the interval of 72 hours for a period of five weeks. Blood was collected from the caudal vein of fish from both treated and control groups, after week interval. Mean body weight of treated group decreased significantly as compared to the control group (P<0.001) on weekly basis. GH decreased significantly (P<0.001) in the treated group from first week to the last week of the treatment as compared to the control group. In treated groups, the plasma cortisol level increased gradually from week 1 to week 5. Significant negative correlation between GH concentration and cortisol level (Pearson r=-0.94) was observed. It is concluded that Pb acts as endocrine disrupter in fish bodies by altering the pattern of synthesis and metabolism of cortisol as well as GH. Elevation in basal cortisol level markedly influences the growth rate by decreasing the GH ultimately decreasing body weight of animal.
DFT-Based Study on Oxygen Adsorption on Defective Graphene-Supported Pt Nanoparticles

The structural and electronic properties of Pt13 nanoparticles adsorbed on monovacancy defective graphene have been determined to understand oxygen adsorption on Pt nanoparticles based upon density functional theory predictions using the generalized gradient approximation. We demonstrate that a monovacancy site of graphene serves a key role as an anchoring point for Pt13 nanoparticles, ensuring their stability on defective graphene surfaces and suggesting their enhanced catalytic activity toward the interaction with O2. Strong hybridization of the Pt13 nanoparticle with the sp2 dangling bonds of neighboring carbon atoms near the monovacancy site leads to the strong binding of the Pt13 nanoparticle on defective graphene (−7.45 eV in adsorption energy). Upon both adsorption of the Pt13 nanoparticle on defective graphene and O2 on Pt13–defective graphene, strong charge depletion of the Pt atom at the interfaces of Pt–C and Pt–O2 is observed. Pt13 nanoparticles are able to donate charge to both defective grap.
Utility Perception in System Dynamics Models

The utility perceived by individuals is believed to be different from the utility experienced by that individual. System dynamicists implicitly categorize this phenomenon as a form of bounded rationality, and traditionally employ an exponential smoothing function to capture it. We challenge this generalization by testing it against an alternative formulation of utility perception that is suggested by modern theories of behavioral sciences. In particular, the traditional smoothing formulation is compared with the peak–end rule in a simple theoretical model as well as in a medium-size model of electronic health records implementation. Experimentation with the models reveals that the way in which utility perception is formulated is important, and is likely to affect behavior and policy implications of system dynamics models.