Miracle-dz/UniFAR-FTUs huggingface dataset:
Inverse Relationship of the CMKLR 1 Relative Expression and Chemerin Serum Levels in Obesity with Dysmetabolic Phenotype and Insulin Resistance

1Departamento de Biologı́a Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950 Colonia Independencia, CP 44340, Guadalajara, JAL, Mexico 2Instituto de Investigación en Reumatologı́a y del Sistema Musculo Esquelético, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950 Colonia Independencia, CP 44340, Guadalajara, JAL, Mexico 3UDG-CA-701, Grupo de Investigación Inmunometabolismo en Enfermedades Emergentes (GIIEE), Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950 Colonia Independencia, CP 44340, Guadalajara, JAL, Mexico 4Departamento de Farmacobiologı́a, Centro Universitario de Ciencias Exactas e Ingenieŕıas, Universidad de Guadalajara, Boulevard Marcelino Garcı́a Barragán No. 1421, CP 44430, Guadalajara, JAL, Mexico 5Departamento de Disciplinas Filosófico, Metodológico e Instrumentales, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950 Colonia Independencia, CP 44340, Guadalajara, JAL, Mexico 6UDG-CA-703, Grupo de Investigación en Inmunologı́a y Reumatologı́a, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada No. 950 Colonia Independencia, CP 44340, Guadalajara, JAL, Mexico 7Translational Cardiology, Centre for Molecular Medicine, Department of Medicine, Karolinska Institutet, L8:03, 17176 Stockholm, Sweden 8Servicio de Reumatologı́a, División de Medicina Interna, Hospital Civil “Dr. Juan I. Menchaca”, Universidad de Guadalajara, Salvador de Quevedo y Zubieta No. 750, CP 44340, Guadalajara, JAL, Mexico
Three-Stage Lossless Compression Technique For Processing PMU Big Data In Modern Smart Grid

With the widespread proliferation and application of high data sampling rate devicePhasor Measurement Units (PMUs) in modern smart grid, large volumes of data are produced in the wide-area monitoring system, which results in increasing challenge in real-time analysis, data storage and data transmission. This paper proposes an improved lossless compression technique which is fully based on the analysis of PMU data structure and consists by three stages algorithm for handling massive data. In the first stage, adjacent coordinate data of one period are operated subtraction and the waveform difference method is adopted to simplify data of other periods. Then, adaptive dynamic Huffman algorithm is selected to compress the processed data. Finally, Run Length Encoding method is employed to decrease furthermore the redundancy. The performance of the improved approach was evaluated under simulation using field PMU data. Experimental results under both dynamic and steady states presented at the end of the paper prove the efficiency of the proposed technique.
Human Cancer Modeling: Recapitulating Tumor Heterogeneity Towards Personalized Medicine

Despite diagnostic, preventive and therapeutic advances, the growing incidence of cancer and the high rate of mortality among patients affected by specific cancer types indicate that current clinical measures are not ideally useful in eradicating cancer. Chemoresistance and subsequent disease relapse are believed to be mainly driven by the cell-molecular heterogeneity of human tumors, which necessitate personalized approaches to deal with uniquely complex genetic profile of each patient’s tumor. Such personalized medicinal therapies require dissection of cancer molecular profiles in order to profoundly understand the mechanisms underlying drug resistance and disease recurrence. Technological advances in comparative genome sequencing have begun to result in identification of common somatic mutations in specific cancer subtypes that potentially constitute bases for prognostic and diagnostic biomarkers and present novel therapeutic targets. These targets have to be tested in reliable platforms, so that data of drug responses obtained can be correlated with those responses elicited in origin by the parental tumor itself. Here, I reviewed different models of cancer in vitro and in vivo and outlined the utilization of these models in drug discovery and novel therapies of cancer with prospect for developing personalized anti-cancer strategies. © 2017. Multidisciplinary Cancer Investigation Submitted: 9 September 2016 Revised: 1 February 2017 Accepted: 20 February 2017 ePublished: 11 March 2017
SOAP OPERAS FOR FEMALE MICRO ENTREPRENEUR TRAINING

This paper analyzes the impact of the Strengthening Women Entrepreneurship in Peru (SWEP) program. SWEP trained female micro entrepreneurs in business management practices (such as accounting and marketing). The training, which was provided in 4- to 5-hour sessions, used soap operas and practical exercises specifically designed for the program. A field experiment was conducted among a group of micro entrepreneurs based in two Peruvian cities (Lima and Piura) to investigate whether SWEP had a positive impact on its beneficiaries. The results show that the program positively affected the adoption of business practices taught by the program. In particular, those who received the training were 4 to 6 percentage points more likely to assign themselves a fixed salary (rather than taking cash from their businesses based on personal needs) and 6 to 11 percentage points more likely to keep better records of potential business contacts. Some positive impacts were found on the adoption of bookkeeping practices (4 to 6 percentage points), although this result is not significant across all of the specifications. Although these changes in adoption rates were large compared with their baseline levels, they were rather small in absolute terms. Therefore, the study did not find any impact on average business performance, household expenditures, or women's empowerment in the household. Qualitative information suggests that micro entrepreneurs were satisfied with the training, but considered that many of the practices taught by the program were difficult to follow because of time constraints.
Is Sexting a “Risky” Behavior? Examining Risks, Risk Factors and Outcomes Associated with Phone and Internet Sexting among Males and Females

Sexting, defined as the exchange of sexually suggestive pictures or messages via mobile phone or social networking sites (SNS), has received media attention for its prevalence and associated negative outcomes; however, research has not yet fully established risk factors for and resulting outcomes from sexting behaviors. The current study was the first empirical test of a causal path model in males and females, in which impulsivity-related traits and expectancies influence sexual behaviors through phone and SNS sexting. We also examined prevalence and perceived likelihood of common negative outcomes associated with sexting. Multiple regression and structural equation modeling (SEM) statistics were conducted on two independent undergraduate samples (n = 611, 255). The best fitting SEM Model (RMSEA = 0.04, CFI = 0.96, TLI = 0.94, and χ2 = 176.06 (df = 75, p < .001) demonstrated a significant indirect effect of sensation seeking on phone sexting behaviors through sex-related sexting expectancies and a significant indirect effect of sensation seeking on sexual hookup behaviors through phone sexting behaviors (b = 0.06, p = 0.03), but only for females. Reverse mediations and mediation with SNS were not significant. Negative outcomes were rare: sexts being spread to others was the most common negative sexting experience (n = 21, 12%). This study suggests the viability of personality and expectancies affecting sexual hookup behaviors through engagement in sexting behaviors. It also suggests that although direct negative outcomes associated with sexting are thought to be common, they were rare in the current sample.
SCHEDULED BASED CLOUD RESOURCE ALLOCATION

The objective of this research The tremendous implementation of cloud computing technology has become a new trend that users can easily utilize high resources through IaaS platform. IaaS is more economical and easier way to have physical resources; in this case Virtual Machines in the cloud, rather than building the infrastructure by their own. To deliver internet services to users such as website, email service or other software applications, a service provider can utilize IaaS platform by leasing virtual infrastructure from a cloud provider and deploy their services on that VMs. However, it becomes a challenge for a service provider to maintain their services due to the increasing number of user requests. They have to maintain resources availability to provide maximum performance to meet their user satisfaction with optimal resources utilization. The approach in this paper will solve this problem by providing service provider a resource monitor module. The module monitors VMs workload based on schedule approach; peak time and off-peak time. According to these two criteria, the service provider can predict and allocate sufficient resources.
Towards Improving User Interaction with Navigation Apps: an Information Quality Perspective

Traffic congestion is a major problem for large cities, and with the ubiquitous use of smartphones with GPS capabilities, drivers have increasingly come to rely on navigation applications for avoiding traffic congestion and routing to unfamiliar destinations. However, in certain situations the suggested route may not be what the user expects and could result in perceived delays over known routes, increased stress and frustration for the driver, or even back tracking. This has created a situation where drivers perceive that the information provided by navigation applications are not completely reliable and do not follow the suggested routes, thereby reducing the overall effectiveness of congestion avoidance. Additionally, drivers also make additional interaction with the navigation applications to verify the believability of the suggestions routes, creating more distraction and reducing on-road safety. As such, this preliminary work assesses mobility information quality provided by leading navigation applications (Google Maps and Waze) against four dimensions of the PSP/IQ information quality framework to identify areas for improving information quality in three common driving scenarios. The results indicate that both apps have similar levels of completeness, concise representation, and consistent representation. And while the relevancy of the information quality is also similar in both apps, Waze’s representation of the some information elements allowed for quicker comparison and decision making. The findings from this work can be used to enhance user interaction and information presentation in navigation applications in order to improve user perceptions of information quality. Keywords : smart mobility information, mobility information quality, congestion avoidance
Title Estimating the Homeless Population in Los Angeles : An Application of Cost-Sensitive Stochastic Gradient Boosting Permalink

In many metropolitan areas, efforts are being made to count the homeless to ensure a proper provision of social services. Some areas are very large, which makes spatial sampling a viable alternative to an enumeration of the entire terrain. Consequently, counts are manually observed in sampled regions, but they must be imputed in unvisited areas. Along with the imputation process, the costs of underestimating and overestimating may be weighted distinctly depending on one’s perspective and what is at stake. Here, we analyze data from the 20042005 Los Angeles County homeless study using a variant of stochastic gradient boosting that allows for asymmetric costs. Specifically, we demonstrate how to boost the quantile distribution, which exhibits a straightforward translation to error estimation costs. Imputed counts and model diagnostics using various cost functions are reported. Practical usage of cost-sensitive imputed estimates are discussed briefly.
The Research on Factors Which Affect Anti-dumping Investigation : Based on Probit Model

Using country-industry data, this study investigates factors which affect anti-dumping investigation via Probit model. We find that with the increase of trade, GDP per capita, population, exchange rate, accession to WTO and the occurrence of financial crisis, China more likely suffer from anti-dumping investigation,while with the increase of distance, China less likely suffer from anti-dumping investigation. Further, after divided the export into extensive margin and intensive margin, we find that the negative effect of trade on anti-dumping investigation mainly comes from the increase of intensive margin. The increases of extensive margin may reduce the chances of suffering from anti-dumping investigation.
Impact of service quality on Loyalty & Mediating role of Trust: An empirical investigation of Restaurants

Study was conducted to investigate the relationship between service quality, trust and loyalty. The trust is mediating between service quality and loyalty. Service quality provided to the customer is responsibility of the restaurants. Using a convenient sampling data was collected from consumers. Service quality positively associated with trust and loyalty and trust is also positively linked with loyalty and mediates the relationship between service quality and loyalty according to our finding. This article helps the organizations to understand the importance of service quality provide and how consumers become loyal to the organization. Customer retention is higher and profitability is greater for the business over the long period of time.
Differences in Men’s Body Dissatisfaction Based on the Type of Exercise Motivation

Exercising at a fitness center is one of the methods to obtain an ideal body shape.The purpose of this study was to determine whether there were differences in body dissatisfactions based on the type of exercise motivation. Participants were 100 male members of a fitness center who exercise at least twice a week for at least one hour per session. Measures used were body dissatisfaction questionnaire (Tylka, Bergeron, & Schwartz, 2005) and exercise motivation questionnaire by Markland and Tobin (cited in Vlachopoulos, 2012). Results showed a difference in body dissatisfaction between men with internal exercise motivation and those with external exercise motivation (Z = 3.142, p < .05). Men who engaged exercises as driven by external exercise motivation had higher body dissatisfaction than those with internal motivation. This indicates that men with external exercise motivation were more dissatisfied with their body image, who were more likely to quit exercising if they did not obtain the expected result, or else they became obsessive with exercises because they was dissatisfied with their figures.
Changing the νmax Scaling Relation: The Need for a Mean Molecular Weight Term

The scaling relations that relate the average asteroseismic parameters and to the global properties of stars are used quite extensively to determine stellar properties. While the scaling relation has been examined carefully and the deviations from the relation have been well documented, the scaling relation has not been examined as extensively. In this paper, we examine the scaling relation using a set of stellar models constructed to have a wide range of mass, metallicity, and age. We find that as with , does not follow the simple scaling relation. The most visible deviation is because of a mean molecular weight term and a term that are commonly ignored. The remaining deviation is more difficult to address. We find that the influence of the scaling relation errors on asteroseismically derived values of are well within uncertainties. The influence of the errors on mass and radius estimates is small for main sequence and subgiants, but can be quite large for red giants.
Interactive comment on “ Measurement of glyoxal using an incoherent broadband cavity enhanced absorption spectrometer ” by R . A . Washenfelder

My perusal of the literature indicates that the reported performance of this instrument is a factor of five better than any previously reported NO2 measurement using a IBBCEAS instrument. Is this primarily due to improvements in experimental technique (brighter, more stable light source; lower noise detector; better mirrors, etc.) or because of the retrieval routine? If it is the latter, is the assumption that there are no unknown
Government-provided versus mandated labour protections: economic distortions or worker security?

1 Abstract “Flexicurity” is an approach to protecting workers that de-links workers’ protections from the employee-employer relationship, replacing employer-provided protections with government benefits. Proponents of flexicurity argue that it can provide workers a su cient safety net while not distorting businesses’ hiring and firing decisions, while opponents suspect that flexicurity is an excuse to cut worker protections, ultimately harming workers. This paper uses two indices to test these competing claims. The first index uses OECD social expenditure data on social insurance and active labour market policies as well as OECD data on social insurance eligibility to measure the extent of the government- provided safety net. A second index uses variables developed by Deakin 2007 to measure mandated worker protections including: severance pay, notice, and firing procedures for both redundancies and non-redundancies. Advocates of flexicurity would argue that those economies with more emphasis on employer-provided protections would have longer durations of unemployment and perhaps higher unemployment rates. The two indices will thus be used in micro analyses of the Luxembourg Income Study waves one through seven (1980-2004) for the US, UK, Germany, and France to predict individuals’ employment status and the duration of their unemployment spells. The analysis will control for macro characteristics like GDP per capita and individual demographic characteristics, work experience, education, and occupation. Critics of flexicurity suggest that removing mandated worker protections harms workers’ well-being. The two indices will thus be used in a second analysis of workers’ life satisfaction and satisfaction with economic conditions, controlling for their individual characteristics like income and demographics, using the Eurobarometer 1970-2002. In sum, two indices are developed and used in a series of models to test whether mandated protections increase unemployment and its duration and whether they improve workers’ satisfaction. If the flexicurity hypothesis is valid, workers should be equally satisfied under the two regimes, with higher unemployment rates or duration under the mandated protection regime. If flexicurity critics are right, workers should be less satisfied under regimes with few mandated protections. It could also be that there is no di erence between the two regimes, with workers and labour markets improving or being indi erent to all types of labour protections.
Agricultural Robotic Candidate Overview using Co-model Driven Development

Multi-disciplinary technologies can be used to explore and compare design candidates in order to enhance the time-to-market development for robotic systems. The Crescendo technology lets software designers and engineers collaborate in the development for models containing discrete-event (DE) parts of the controller and continuous-time (CT) parts for the robot-environment interaction. Such models are defined as collaborative (comodels) and their joint execution is called a co-simulation. In this paper, we illustrate the development of a robot mink feeding system using the model-based Crescendo technology. The results of the co-simulations provided an overview of the candidate solutions in the chosen design space entirely in a virtual setting. The candidate overviews provided valuable input for selecting a candidate to develop into an actual robot. The selected candidate solution was subsequently deployed directly on a robot operating system (ROS) based platform and tested on a mink farm.
Formation and Tracking Control of Quadrotors under a Leader-Follower Strategy

 Abstract—In recent decades, the researchers have been attracted in utilizing of the multi-agent systems due to the sophistication in industrial processes, the cost of performing them and increasing the reliability. One of the interesting problems in this field of study is formation control of agents. In this paper, we are going to design a decentralized control strategy for the formation control of a group of quadrotors. To be more specific, we simplify the nonlinear dynamic of a quadrotor by using motion approximation and feedback linearization. Then, we solve the formation control problem of quadrotors by the utilization of leader-follower strategy with a decentralized protocol. In this control strategy, only do a partial number of followers have access to the leader’s information. This matter can reduce noticeably the energy consumption of the leader since it requires to send less amount of information. Thereafter, we will corroborate the convergence of quadrotors to the predefined formation and leader tracking mathematically. Finally, the simulation example will be presented in order to validate the theoretical results.
Morphological and molecular characterization of Oyster mushroom ( Pleurotus spp.)

Mushrooms have medicinal as well as nutritive value and extensively used as human food from the time immortal. In order to determine the genetic diversity among Pleurotus species of mushroom using morphological and random amplified polymorphic DNA (RAPD) markers, about seven different species were collected. Five species, naming Pleurotus platypus (P-6), Pleurotus flabelatus (P-7), Pleurotus florida (P-17), Pleurotus ostreatus (P-19) and Pleurotus sajor-caju (P-56) were from Canada and two Pleurotus warm-stram (P-9) and Pleurotus eryngii (P-16) from Philpines. Seven different morphological traits that is, mycelial growth (mm), cap diameter (cm), total yield (kg), moisture contents (%), ash contents (%), nitrogen contents (%) and protein content (%) were recorded. The dendrogram based on morphological data divided seven species in cluster ‘A’ and ‘B’ having four and three species, respectively. The dendrogram based on RAPD analysis generated 3 clusters ‘A’, ‘B’ and ‘C’. Out of 14 random primers, the maximum polymorphism was observed by primers OPL 3 (72.70 %) and OPL 11 (70%). The two species P-56 and P-17 were observed to be most similar having value 86% and constituting a cluster ‘A’. The present work revealed that, morphological and RAPD markers showed different pattern of genetic diversity among different Pleurotus species. Keywords: Oyster mushrooms, genetic diversity, random amplified polymorphic DNA (RAPD) markers, dendrogram