Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Characterization of EST-SSR Markers from NCBI and cDNA Library in Cultivated Peanut ( Arachis hypogaea L. )

86 132 ESTs downloaded from GenBank in NCBI and 12 501 ESTs from cDNA library constructed by high-oil linoleic acid accession E12 were analysed. After the preprocession, there were 18 051 singletons and 9 972 contigs in the GenBank of NCBI and cDNA library. Totally 3 104 SSR locis had been screened by MISA software, accounting for 11.08% for these non-redundant ESTs. All SSR locis are divided into di-nucleotide, thi-nucleotide, tetra-nucleotide, penta-nucleotide, hexa-nucleotide and multi-nucleotide etc., and thi-nucleotide motif is the most motifs and the frequency was 43.0% and 56.8% in NCBI and cDNA libraray, respectively. The number of di- and penta-nucleotide motifs were second and third in all motifs. And the hexa-nucleotide was the least motif both in NCBI and cDNA library. In all repeat motifs nucleotide, AG/TC was the most motifs and accounted for 8.65% and 13.42% in NCBI and cDNA library respectively. Among the tri-nucleotide repeats, CTT/GAA was the most frequent motif, accounting for 6.7% and 13.42%, respectively. The repeat unit number of SSR locis is between 4 and 51.
Base Case Assumptions for a Patient With Malignan Treatment Incidence of Pleural Sclerosis Source of Pleural Sclerosis Data

Background. Patients with malignant pleural effusion (MPE) have varied expected survival and treatment options. We studied the relative cost-effectiveness of various interventions. Methods. Decision analysis was used to compare repeated thoracentesis (RT), tunneled pleural catheter (TPC), bedside pleurodesis (BP), and thoracoscopic pleurodesis (TP). Outcomes and utility data were obtained from institutional data and review of literature. Medicare allowable charges were used to ensure uniformity. Base case analysis was performed for two scenarios: expected survival of 3 months and expected survival of 12 months. The incremental cost-effectiveness ratio (ICER) was estimated as the cost per quality-adjusted life-year gained over the patient’s remaining lifetime. Results. Under base case analysis for 3-month survival, RT was the least expensive treatment ($4,946) and provided the fewest utilities (0.112 quality-adjusted lifeyears). The cost of therapy for the other options was TPC $6,450, BP $11,224, and TP $18,604. Tunneled pleural
IT Governance in Collaborative Networks: A Socio-Technical Perspective

Research on IT governance has tended to focus on the issue within a single organizational environment. Our understanding of IT governance in an inter-organizational context remains limited. In addition, few have taken a socio-technical perspective. The aim of the study is therefore to empirically explore the impacts of socio-technical factors on the effectiveness of IT governance for a collaborative network by examining three IT governance elements: structure, process and relational mechanism. This paper reports on the findings of the pilot phase of the broader study. The findings indicate that more effective collaborative IT governance is associated with an active involvement of a governing body; a co-ordinated communication process; and the presence of relational culture and attitudinal commitment. Theoretical and managerial implications of the study are discussed.
Risk Analysis in Construction Projects in Gaza Strip "Contractor's Perspective"

The aim of this paper is to investigate risk analysis techniques used to analyze risks in construction projects in Gaza strip. The findings of this research indicate that the most important risk analysis techniques that contractors use to analyze risk factors to better manage risks of construction projects at the bidding cost estimate stage, are the following: comparative analysis (analyze similar projects), direct judgment using experience, action plan (scenario) analysis with project details, probability analysis using historical data, descriptive analysis, sensitivity analysis and simulation analysis using software programs. The results of this research recommended to the contractors are to select the optimal risk analysis technique to analyze and estimate risks properly and to determine the convenient preventive method to respond risk effects early, at the pricing stage of construction project.
Digital Twin: Enabling Technologies, Challenges and Open Research

Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.
AN INSIGHT INTO THE ECONOMIC VALUE OF REEF ENVIRONMENTS THROUGH THE LITERATURE: THE CASE OF THE SEAFLOWER BIOSPHERE RESERVE

The Seaflower Biosphere Reserve (SBR) is one of the few places in Colombia with a set of available studies on the economic value of its reef environments. This paper seeks to review the policy applications of these studies, and evaluate the use of benefit transfer (BT) methods to predict value estimates for sites in the SBR where no valuations have been performed. First, the paper provides an analysis and categorization of policy uses of existing results. A set of economic valuation studies were identified as somewhat influential in policy applications, because they provided financial sustainability tools for marine protected areas. A case study was selected from the pool of influential studies in order to assess the viability of BT. Second, the viability of using BT for determining recreational values of coral reefs within the SBR was assessed by: i) implementing a demand function transfer between the Johnny Cay Regional Park and the Old Providence and McBean Lagoon National Park; and ii) by estimating a meta-analytic function transfer based on world-wide meta-data on the recreational value of coral reefs. Results suggested a potential for the use of BT to predict recreational values for coral reefs in the SBR. In particular, the meta-analytic results indicated low to moderate transfer errors for the SBR, suggesting the viability of this approach.
DDDT_A_216822 3477..3484

Kamil Serkan Agacayak 1 Rıdvan Guler Bekir Ilyasov 2 1Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Dicle University, Diyarbakır, Turkey; 2Private Dental Clinic, Diyarbakır, Turkey Aim: The present study aims to employ dental volumetric tomography to examine bone mineral density among men that used antidepressants in the SSRI group for a long time. Method: The present study was conducted through the utilisation of data related to patients that presented to the Faculty of Dentistry of Dicle University and had a dental volumetric tomography (DVT) scan for any reason. The patients were divided into 2 groups based on the use of antidepressants: Group 1 included 68 patients as the control group, and Group 2 consisted of 68 patients that used antidepressants. Radiomorphometric measurements were performed on DVT data: DVT-Mandibular Index (DVT-MI), DVT-Cortical Index (DVT-CI), Hounsfıeld Unit (HU) CORTICAL, and HU SPONGIOSIS values were calculated. Results: The group of patients that used antidepressants exhibited a significant increase in DVT CI and a significant decrease in HU CORTICAL, HU SPONGIOSIS and DVT MI values. These findings were suggestive of osteoporosis. Conclusion: Long-term use of antidepressants should be taken into consideration as a risk factor for osteoporosis in men.
Distributional Impacts of Food Price Changes on Romanian Households following EU Accession

This paper focuses on the estimation of changes in economic welfare (real income) on different Romanian socio-economic households due to changes in food prices, following the country’s accession to the European Union (EU) in 2007. It updates and develops Hubbard and Thomson (2007) and identifies the winners and losers due to food price changes using the most recent, official, post accession data. The Slutsky Compensating Variation, based on construction of Laspeyres indexes, is employed for a food basket of 19 products. Given the importance of the share of self-consumption in total household consumption expenditure for almost all household types, the economic welfare impacts of food price changes (Slutsky CV) is estimated for both market (goods purchased) and non-market (goods produced and consumed within the household) components. Preliminary results show that real food prices have changed quite dramatically with some rising and others falling. The overall change in price for the 19 selected products, in real terms, is almost 20 per cent. This suggests high impacts on consumer welfare across the urban and rural households, particularly for low-income groups such as farmers, unemployed and pensioners.
Characterization of near-wall turbulence in terms of equilibrium and "bursting" solutions

Near-wall turbulence in the buffer region of Couette and Poiseuille flows is characterized in terms of recently-found nonlinear three-dimensional solutions to the incompressible Navier–Stokes equations for wall-bounded shear flows. The data suggest that those solutions can be classified into two families, of which one is dominated by streamwise vortices, and the other one by streaks. They can be associated with the upper and lower branches of the equilibrium solutions for Couette flow found by Nagata [“Three-dimensional finite-amplitude solutions in plane Couette flow: Bifurcation from infinity,” J. Fluid Mech. 217, 519 (1990)]. The quiescent structures of near-wall turbulence are shown to correspond to the vortex-dominated family, but evidence is presented that they burst intermittently both in minimal and in fully turbulent flows. The intensity and period of the bursts are Reynolds-number dependent, but they saturate at high enough Reynolds numbers. The time-periodic exact solution found for Couette flo.
Robust Nonlinear Coordinated Systems

To prevent an electric power system losing synchronism under a large sudden fault and to achieve voltage regulation are major objectives in power system design. This paper applies the Riccati equation approach, together with the direct feedback linearization (DFL) technique, to design robust nonlinear controllers for transient stability enhancement and voltage regulation of power systems under a symmetrical three-phase short circuit fault. A DFL excitation controller and a DFL coordinated controller (excitation and fast valving controller) are proposed. The simulation results show that a power system can keep transiently stable, even when a large sudden fault occurs at the generator terminal. The robust nonlinear DFL controllers proposed here can greatly improve transient stability and achieve voltage regulation. List of symbols 6(r) power angle; w(t) relative speed; P,(t) mechanical input power; P<(t) active power delivered to bus; w,) synchronous machine speed, % = 27&i D E;(Z W) GO) T d0 X,(r) 4(r) 40) I,(t)
DIRECT MODIFICATION OF FINITE ELEMENT MESHES PRESERVING GROUP INFORMATION

Nowadays, the mainstream methodology for product behavior analysis and improvement relies on the following steps: 1) conceptual solution proposal and CAD prototyping, 2) mesh model creation for Finite Element (FE) analysis, 3) preparation of complex mesh model as specification of semantic information for particular behavior study, 4) advanced FE simulation, 5) result analysis and optimization loops. The semantics relative to the simulation model are often associated to mesh entities through the use of socalled mesh groups. During the optimization phase, geometric modifications are generally performed on the CAD model. This requires a complete updating of the FE mesh model repeating all the above listed FE mesh preparation (re-creation of all the groups). In the present paper, we propose a new framework for CAD-less FE analysis. It comes to apply shape modification operators directly to the FE mesh while exploiting and maintaining the available FE semantic information. As a result, multiple steeps of the design process loop, as CAD and mesh model generation, mesh group creation, are avoided. In this paper, we focus on two 3D mesh modification operators: the planar cracking and the drilling.
Theory of Propensity Score Analysis Potential Outcomes Model

Propensity score analysis is a method that equates treatment and control groups on a comprehensive set of measured confounders in observational (nonrandomized) studies. A successful propensity score analysis reduces bias in the estimate of the average treatment effect in a nonrandomized study, making the estimate more comparable with that obtained from a randomized experiment. This article reviews and discusses an important practical issue in propensity analysis, in which the baseline covariates (potential confounders) and the outcome have missing values (incompletely observed). We review the statistical theory of propensity score analysis and estimation methods for propensity scores with incompletely observed covariates. Traditional logistic regression and modern machine learning methods (e.g., random forests, generalized boosted modeling) as estimation methods for incompletely observed covariates are reviewed. Balance diagnostics and equating methods for incompletely observed covariates are briefly described. Using an empirical example, the propensity score estimation methods for incompletely observed covariates are illustrated and compared.
The Fast Semi-bounded Kernel-Diffeomorphism Estimator

We introduce, by this work, a fast method to estimate probability density functions in the semi-bounded case. This new technique is a simplified version of the kernel-diffeomorphism estimator which requires complexity in the calculations. It is based on a logarithmic transformation of the data which will be estimated by the conventional kernel estimator. Thus, the algorithm complexity is reduced from O(N2) to O(N).
CAN A TELEOPERATED ANDROID REPRESENT PERSONAL PRESENCE? - A CASE STUDY WITH CHILDREN

Our purpose is to investigate the key elements for representing personal presence, which is the sense of being with a certain individual. A case study is reported in which children performed daily conversational tasks with a geminoid, a teleoperated android robot that resembles a living individual. Different responses to the geminoid and the original person are examined, with a special focus on the case where the target child was the daughter of the geminoid source. Our results show that children gradually adapt to conversation with the geminoid, but the operator’s personal presence is not represented completely. Further research topics on the adaptation process to androids and the key elements of personal presence are discussed.
IRF 3 and interferon signature on pDC in SLE

Karina Santana-de Anda; Diana Gómez-Martín ; Adriana Elizabeth Monsivais-Urenda; Mariana Salgado-Bustamante; Roberto González-Amaro; and Jorge Alcocer-Varela a Department of Immunology and Rheumatology. Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Mexico City, Mexico. Vasco de Quiroga 15, Tlalpan 14000, Mexico City, México. b Departamento de Inmunología y c Departamento de Bioquímica. Facultad de Medicina, Universidad Autónoma de San Luis Potosí. Ave. V. Carranza 2405, CP 78210, San Luis Potosí, México. * These authors contributed equally to the present work.
CONSUMERS' PERCEPTION OF CORPORATE SOCIAL RESPONSIBILITY (CSR) AND THEIR ATTITUDE TOWARD RETAILERS - ITS SIGNIFICANCE FOR CREATING RETAILERS' COMPETITIVE ADVANTAGE

The aim of the paper is to propose segmentation of retailing consumers based on their perception of socially responsible retailers in context of values which determine lifestyle. The authors decided to verify the way in which the perception of socially responsible retailers is shaped by such values as: hedonism, utilitarianism, materialism, or price-sensitivity. At present CSR is an integral part of retailers’ global strategies and activities undertaken within its framework are meant to increasethe companies’ competitive advantage through strengthening their image. On the other hand, an increasing differentiation of consumers’ attitudes and buying behaviors can be observed. The way in which values such as: hedonism, utilitarianism, materialism and price-sensitivity determine the perception of socially responsible companies is not well known yet. However, such knowledge is essential for recognizing the relations between the CRS-based image and consumers’ qualities responsible for their attitudes and buying behavior. The article refers to the results of research conducted on a representative sample of 1000 consumers in 2013, by means of the CAPI method.The research was a part of a project financed by the National Science Centre, based on the decision No.DEC-2011/03/B/HS4/03576.
Title Model-based probabilistic frequent itemset mining

Data uncertainty is inherent in emerging applications such as location-based services, sensor monitoring systems, and data integration. To handle a large amount of imprecise information, uncertain databases have been recently developed. In this paper, we study how to efficiently discover frequent itemsets from large uncertain databases, interpreted under the Possible World Semantics. This is technically challenging, since an uncertain database induces an exponential number of possible worlds. To tackle this problem, we propose a novel methods to capture the itemset mining process as a probability distribution function taking two models into account: the Poisson distribution and the normal distribution. These model-based approaches extract frequent itemsets with a high degree of accuracy and T. Bernecker · H. -P. Kriegel · M. Renz · F. Verhein · A. Zuefle Department of Computer Science, Ludwig-Maximilians-Universität, Munchen, Germany e-mail: bernecker@dbs.ifi. lmu.de H. -P. Kriegel e-mail: kriegel@dbs.ifi. lmu.de M. Renz e-mail: renz@dbs.ifi. lmu.de F. Verhein e-mail: verhein@dbs.ifi. lmu.de A. Zuefle e-mail: zuefle@dbs.ifi. lmu.de R. Cheng (B) · D. W. Cheung · S. D. Lee · L. Wang Department of Computer Science, University of Hong Kong, Pokfulam, Hong Kong e-mail: ckcheng@cs.hku. hk D. W. Cheung e-mail: dcheung@cs.hku. hk S. D. Lee e-mail: sdlee@cs.hku. hk L. Wang e-mail: lwang@cs.hku. hk
Tests for qualitative features in the random coefficients model

The random coefficients model is an extension of the linear regression model that allows for unobserved heterogeneity in the population by modeling the regression coefficients as random variables. Given data from this model, the statistical challenge is to recover information about the joint density of the random coefficients which is a multivariate and ill-posed problem. Because of the curse of dimensionality and the ill-posedness, pointwise nonparametric estimation of the joint density is difficult and suffers from slow convergence rates. Larger features, such as an increase of the density along some direction or a well-accentuated mode can, however, be much easier detected from data by means of statistical tests. In this article, we follow this strategy and construct tests and confidence statements for qualitative features of the joint density, such as increases, decreases and modes. We propose a multiple testing approach based on aggregating single tests which are designed to extract shape information on fixed scales and directions. Using recent tools for Gaussian approximations of multivariate empirical processes, we derive expressions for the critical value. We apply our method to simulated and real data.
Efficient method for generating minimal intervention sets in Gene Regulatory Networks

In the last few decades, technological and experimental advancements in molecular biology have allowed the study of the effect of drugs on human cell signaling pathways. These advancements have enabled a more precise understanding of the mode of action of drugs and positively influenced the design of new drug compounds. The flipside, however, has been the dawning realization of the complexity of signaling events involved in the mode of action of a drug. Whereas the design of compounds has become increasingly target-specific, the overall effects of a drug on adjacent cellular signaling pathways remain difficult to predict because of the complexity of the interactions involved. Off-target effects of drugs are known to influence their efficacy and safety, whereas highly target-specific drugs might be too limited and ineffective in the context of cellular signaling. Finally, even when the signaling pathways targeted by a drug are known, the presence of point mutations in some of the components of the pathways can render a therapy ineffective in a considerable target subpopulation.
Modeling bacterial transport and removal in a constructed wetland system

The unsaturated zone could provide an effective barrier against pathogenic microbes entering the groundwater. Knowledge relating to microbial fate in this zone is therefore important for increased understanding of groundwater vulnerability. This thesis examines the published literature that is related to the transport, retention and survival processes that apply to the fecal indicator bacterium Escherichia coli in unsaturated porous media. The main focus concerns the research findings under steady-state flow in homogeneous filter media, and under unfavorable attachment conditions, which are the most common in the natural environment. Experimental results in the literature for the pore-, column- and field-scale are examined and compared to commonly applied theories and modeling approaches. An analysis of the main factors that influence attenuation and biofilm formation is provided. Further, the findings are illustrated in a model of an unplanted, vertical flow constructed wetland. The results indicate that retention at the solid-air-water interface is a major attenuation process. In addition, they suggest that the flow velocity (as dependent on the grain size and the saturation) is a key influencing factor. However, it has not yet been established how the research findings relating to the main processes and influencing factors can be incorporated into predictive models; in the literature, a multitude of models have been proposed and alternative theories could describe the same observation. In this study, the transport and fate of Escherichia coli in different sand filters is, therefore, modeled using various literature models - derived under similar experimental conditions - in order to assess the possibility to compare and generalize the equations, evaluate their implications considering the different saturation settings and filter depths, and to define the spectra of the reduction efficiencies. It is discovered that the bacterial attenuation behaviors vary largely. This calls for clarification regarding the underlying processes. Future research is also recommended to include the ef-fects of structured filter media and sudden changes in the flow rate.