Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Diversity within Snap Beans and Their Relation to Dry Beans

Two hundred forty-six snap bean genotypes and 49 dry beans representing both centers of domestication and six bean races with materials from Europe, Asia, and the Americas were genotyped using a single nucleotide polymorphism (SNP) array. The data was analyzed for expected heterozygosity, K-means clustering, principal components, phylogenetic relationships, and population substructure. When all gene pools of snap bean were assembled, the expected heterozygosity was roughly equivalent to a carefully chosen panel of dry beans representing all bean races and centers of domestication demonstrating the genetic richness of snap materials in total. K-means clustering and K = 2 structure analysis showed significant mixing of gene pools in the European and American commercial snap materials and the dominance of the Andean center of domestication among commercial contemporary snap beans. Conversely, the same analysis showed that Chinese, Iberian, and heirloom materials were underrepresented in contemporary materials. Further, Structure analysis revealed eight distinct groups within snap beans. Two showed strong kinship to the Middle American center of domestication, three to the Andean center of domestication, and three showed admixture between the two centers. Snap beans may have been independently derived from dry beans more than once and from both centers. Overall, we identified eight potential germplasm pools for snap bean.
Digital Video Quality: Vision Models and Metrics

About the Author. Acknowledgements. Acronyms. 1 Introduction. 1.1 Motivation. 1.2 Outline. 2 Vision. 2.1 Eye. 2.2 Retina. 2.3 Visual Pathways. 2.4 Sensitivity to Light. 2.5 Color Perception. 2.6 Masking and Adaptation. 2.7 Multi-channel Organization. 2.8 Summary. 3 Video Quality. 3.1 Video Coding and Compression. 3.2 Artifacts. 3.3 Visual Quality. 3.4 Quality Metrics. 3.5 Metric Evaluation. 3.6 Summary. 4 Models and Metrics. 4.1 Isotropic Contrast. 4.2 Perceptual Distortion Metric. 4.3 Summary. 5 Metric Evaluation. 5.1 Still Images. 5.2 Video. 5.3 Component Analysis. 5.4 Summary. 6 Metric Extensions. 6.1 Blocking Artifacts. 6.2 Object Segmentation. 6.3 Image Appeal. 6.4 Summary. 7 Closing Remarks. 7.1 Summary. 7.2 Perspectives. Appendix: Color Space Conversions. References. Index.
Establishment and Solution of the RNC Flow Network Model

The mathematical model based on graph theory and the refrigerant natural cycle system of gas-liquid two-phase flow network is established. Incidence matrix was used to describe the relationships between the various components. The node conservation equations, branch equations, momentum conservation equation in return circuit and mass conservation equations of system are established. The model was solved by using variable step gird iterative method. Then refrigerant state of each node and refrigerant flow of each branch in network model are obtained. Establishment and solution of the RNC network model provides an effective way for the further performance analysis of system.
Compliance in Health Care

This book constitutes the current reference manual on compliance. In fact, 170 of the 516 pages consist of an annoted bibliography. The editors maintain that the book is 'a reference, not a novel' and do not expect it to be read from cover to cover. However, certain chapters are very readable. The varying results from different studies ofcompliance are presented and the reasons for their discrepancies are intelligently discussed. There is also no hesitation in asking the question 'Why bother about non-compliance? ' We are strongly advised to interpret the results of compliance studies according to whether or not 'treatment goals' are achieved. The methods of measuring patient non-compliance are discussed in detail together with the clinical and psychological features that determine non-compliance. Certain chapters are loaded with 'jargon' phrases, but on the whole the reader soon copes with the 'health belief model', 'motivation and threat variables', 'homilectics', etc. The strategies suggested for reducing non-compliance include reminders for appointments, explicit verbal and written instructions about medication, special packages for pills, simplified drug regimens and increased supervision. The effects of non-compliance in the execution of the clinical trials and the interpretation of results from such trials are dealt with. Many problems are raised. To what extent is noncompliance confused with non-comprehension and should we study doctors' compliance with generally accepted treatment recommendations? Perhaps these questions lie more in the province of medical audit. Overall, the book is a must for those researching in the field of compliance. In fact, one chapter is devoted to the methods that should be used in such research.
XP On A Large Project – A Developer’s View

ABSTRACT At ThoughtWorks we have adopted a modified version of XP that has been tailored through our experiences to suit a large project of over 35 developers and 15 analysts. This project, a leasing application which we internally called ATLAS, originally started 3 years ago with the standard analysis and design front-loading of traditional development projects. This paper is written from a developer’s point of view, the experiences and the techniques that were tried and either became habit because they were useful, or never quite caught on. We will take the different practices that are encouraged by XP in Kent Beck’s Extreme Programming Explained [1], and give our feedback on each practice. Then, in summarizing, we will give a recommendation of what changes must be made to the XP process to be able to utilize this methodology and still produce quality code at a fast pace for a large project.
A Performance Test of Iceberg Cubing Algorithms

In data mining, the computation of a data cube is one of the most fundamental steps. It is often unrealistic to compute the entire cube when faced with high dimensionality and high cardinality. The iceberg cube is an effective method to compute only aggregate group-bys above a certain threshold. Currently, several methods exist for computing iceberg cubes. They use efficient methods that exploit various properties of the data cube and measure, such as anti-monotonicity. In this paper, we will study four methods and thoroughly compare their performances vs. each other under various types of data.
An efficient estimation of the Structural Similarity index using the GPGPU programming techniques

In the paper a fast implementation of the SSIM index is presented. Because of specific features of the CUDA architecture, the 8×8 pixel sliding window is used. In order to speed up the computations, the vertical passes are limited to the 32-pixels wide fragments, so four pixels margins should be left for each fragment. The verification of the proposed estimation is performed for the LIVE database with images corrupted by five common types of distortions and their subjective evaluations.
Identification of a Novel Semi-Dominant Spotted-Leaf Mutant with Enhanced Resistance to Xanthomonas oryzae pv. oryzae in Rice

Many spotted-leaf mutants show enhanced disease resistance to multiple pathogen attacks; however, the mechanisms are largely unknown. Here, we reported a novel semi-dominant spotted-leaf mutant 24 (spl24) obtained from an ethyl methane sulfonate (EMS)-induced IR64 mutant bank. spl24 developed tiny brown lesions on the leaf tip and spread down gradually to the leaf base as well as the sheath at the early heading stage. The performances of major agronomic traits such as the plant height, panicle length, number of panicles/plant, and 1000-grain weight were significantly altered in spl24 when compared to the wild-type IR64. Furthermore, spl24 exhibited a premature senescing phenotype with degeneration of nuclear acids, significantly reduced soluble protein content, increased level of malonaldehyde (MDA), and lowered activities of reactive oxygen species (ROS) scavenging enzymes. Disease evaluation indicated that spl24 showed enhanced resistance to multiple races of Xanthomonas oryzae pv. oryzae, the causal pathogen of bacterial leaf blight in rice, with elevated expression of pathogenesis-related genes, salicylic acid (SA) signaling pathway-associated genes revealed by real-time quantitative PCR and high-throughput RNA sequencing analysis. Genetic analysis and gene mapping indicated that the lesion mimic phenotype was controlled by a novel semi-dominant nuclear gene. The mutation, tentatively termed as OsSPL24, was in a 110 kb region flanked by markers Indel-33 and Indel-12 in chromosome 11. Together, our data suggest that spl24 is a novel lesion mimic mutant with enhanced innate immunity and would facilitate the isolation and functional characterization of the target gene.
THE INFLUENCE OF ABSORTIVE CAPACITY AND KNOWLEGDE SHARING ON WOMEN-OWNED SMEs

This study aimed to determine the effect of Absorptive Capacity and Knowledge Sharing on the performance of womenowned SMEs group. The sample of this research was female business actor who joined in Alisah Khadijah group of ICMI Palembang as many as 138 business actors. Analysis of this research used Structural Equation Modeling (SEM) program with Lisrel Program. The result showed that Absorptive Capacity and Knowledge Sharing variable had positive and significant influence on Performance of SME group incorporated in Alisah Khadijah ICMI Palembang. Absorptive Capacity variable had more dominant influence on Performance than Knowledge Sharing variable
Electromagnetic Optimization by Genetic Algorithms

From the Publisher: Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary concept. These easily programmed and readily implemented procedures robustly locate extrema of highly multimodal functions and therefore are particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic Algorithms is the first book devoted exclusively to the application of genetic algorithms to electromagnetic device design. Compiled by two highly competent and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design and optimization of various low- and high-frequency electromagnetic components. Special features include: *Introduction by David E. Goldberg, "A Meditation on the Application of Genetic Algorithms" *Design of linear and planar arrays using genetic algorithms *Application of genetic algorithms to the design of broadband, wire, and integrated antennas *Genetic algorithmdriven design of dielectric gratings and frequency-selective surfaces *Synthesis of magnetostatic devices using genetic algorithms *Application of genetic algorithms to multiobjective electromagnetic backscattering optimization *A comprehensive list of the up-to-date references applicable to electromagneticdesign problemsSupplemented with more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs and an indispensable reference for university researchers.
Variations of the FEAST eigenvalue algorithm

FEAST is a recently developed eigenvalue algorithm which computes selected interior eigenvalues of real symmetric matrices. It uses contour integral resolvent based projections. A weakness is that the existing algorithm relies on accurate reasoned estimates of the number of eigenvalues within the contour. Examining the singular values of the projections on moderately-sized, randomly-generated test problems motivates orthogonalization-based improvements to the algorithm. The singular value distributions provide experimentally robust estimates of the number of eigenvalues within the contour. The algorithm is modified to handle both Hermitian and general complex matrices. The original algorithm (based on circular contours and Gauss-Legendre quadrature) is extended to contours and quadrature schemes that are recursively subdividable. A general complex recursive algorithm is implemented on rectangular and diamond contours. The accuracy of different quadrature schemes for various contours is investigated.
Characterization and modeling of clock skew with process variations

A new compact model for on-chip clock skew as a function of device, interconnect, and system parameter variations is derived. Unlike previous models that describe qualitative behavior of clock skew components, the new model provides a closed form expression for each clock skew component. An example of clock skew components for a typical design using 0.18 /spl mu/m CMOS technology is investigated.
Опыт применения комплексного озон/NO-ультразвукового метода лечения лучевых фиброзов в сочетании с препаратом Рексод

Complications after radiotherapy rest an important problem of clinical oncology. Authors improved and technically supplied an innovative method of ozone/NO-ultrasonic treatment of soft tissues fibrosis in combination with Rexod®. Autors showed their experience and clinically proved the acceleration of resorption for soft tissues fibrosis by application of this innovative method.
Immunogenetics of Type 1 Diabetes

Type 1 diabetes (T1D), also known as Insulin dependent diabetes mellitus (IDDM) is an incurable multi-factorial autoimmune disorder. The disease is characterized by the loss of insulin producing beta cells of the pancreas resulting in abnormal metabolism of glucose which may lead to ketoacidosis and several other complications like retinopathy, nephropathy and even cardio-vascular diseases and pre-mature deaths (Pociot & Mcdermott, 2002). World-wide disease affects 1 in 300-400 children (Todd, 1995). Population based data from South India shows the incidence of T1D for four year period to be 10.5/100,000/ year (Ramachandran et al., 1996). Similar prevalence of type 1 diabetes has been observed in North India. A study from district of Karnal in North India reported the prevalence to be 10.20/100,000 population, with a higher prevalence in urban (26.6/100,000) as compared to rural areas (4.27/100,000) (Kalra et al. 2010). T1D develops as a result of complex interaction of many genetic and environmental factors leading to autoimmune destruction of the insulin producing pancreatic beta cells. While 20 genomic intervals have been implicated for the manifestation of the disease (Pociot & Mcdermott, 2002), role of an intricate network of the products of these genes cannot be ruled out. However, unravelling different factors involved and how they interact in integrated networks is like solving a jig-saw puzzle which is the aim of our studies. Basic problem with T1D patients is that by the time they first report to the physician, most of their pancreatic beta cells are already destroyed which leaves the clinicain with no option but to give daily insulin injections. So, there is a need to identify the prediabetics before the onset of the disease and device ways to inhibit autoimmunity in them. Following sections will show the work done in our laboratory to understand the intricate networks in which the genes involved in immune responses interact and their implications.
Using Automated and Fine-Grained Analysis of Pronoun Use as Indicators of Progress in an Online Collaborative Project

Multimodal discourse analysis has been shown to be useful in adding depth to our understanding of the processes of computer supported collaborative learning. We take one of the codes used in a multi-modal coding scheme (CPACS), and apply automated data extraction techniques to a large corpus of data aimed at one code in the micro-level (pronouns). The results of this are plotted over time, and patterns of pronoun use identified for further investigation using an in depth systemic functional linguistics (SFL) approach. Complications concerned with singular and plural second person are discussed, and patterns of pronoun use that indicate movement of the group from one phase of design work the next are identified. Further refinement of the techniques of automated extraction are required to capture additional patterns noted in the SFL analysis.
The lived experience of self-intermittent catheterisation in people with spinal cord injury

I Self-intermittent catheterisation (SIMC} is one of the most common an.:! safest methods of bladder emptying in people with spinal cord injury (SCI). There is a large amount of literature relating to the biomedical aspects of SIMC, such as infection rates and renal complications. There is however, very little information about how people actually experience SIMC and its effect on their daily lives. Through a series of semi-structured interviews this study describes the lived experience of eight men with spinal cord injuries who perform self-intermittent catheterisation to empty their bladder. The study uses Husserlian phenomenology and Colaizzi's method to analyse data gathered through the interviei.vs. Clusters of similar themes were extracted from the transcribed interviews and reduced into six theme categories. The data showed that SIMC has an effect on almost all aspects of a person's life including work and social lives, their personal relationships and body esteem, even what they drink and hov, they sleep. The themes are discussed and relevant literature provides a legitimate basis for the issues that arose for participants. New l<nowledge is detailed and there are recommendations for changes in practice and suggestions for further research.
Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals

We consider methods for causal inference in randomized trials nested within cohorts of trial‐eligible individuals, including those who are not randomized. We show how baseline covariate data from the entire cohort, and treatment and outcome data only from randomized individuals, can be used to identify potential (counterfactual) outcome means and average treatment effects in the target population of all eligible individuals. We review identifiability conditions, propose estimators, and assess the estimators' finite‐sample performance in simulation studies. As an illustration, we apply the estimators in a trial nested within a cohort of trial‐eligible individuals to compare coronary artery bypass grafting surgery plus medical therapy vs. medical therapy alone for chronic coronary artery disease.
Grid-based SensorDCSP

There has been intense interest in hierarchical reinforcement learning as a way to make Markov decision process planning more tractable, but there has been relatively little work on autonomously learning the hierarchy, especially in continuous domains. In this paper we present a method for learning a hierarchy of actions in a continuous environment. Our approach is to learn a qualitative representation of the continuous environment and then to define actions to reach qualitative states. Our method learns one or more options to perform each action. Each option is learned by first learning a dynamic Bayesian network (DBN). We approach this problem from a developmental robotics perspective. The agent receives no extrinsic reward and has no external direction for what to learn. We evaluate our work using a simulation with realistic physics that consists of a robot playing with blocks at a table.
PROV-O: The PROV Ontology

The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains.
Linear optimization of multi-path routing in network on chips

In this paper, a technique for determining required link band-width of a multi-path routing algorithm dedicated to Network on Chip (NoC) is presented. The proposed algorithm is based on the linear programming and allows us to avoid deadlocks and contentions in case of Tapeworm routing used for data-dominated streaming multimedia applications realized in Multi Processor Systems on Chip. The proposed approach is illustrated with an example of features extraction module for the Automatic Speech Recognition (ASR) system.
From critical intellectuals to «idea brokers»? – Traditions and new developments of links between research and policy-making in education in France

It is nothing new to see knowledge in social sciences used as a tool of government. Since the 18th century, the development of modern States and administrations monopolizing government functions has encouraged top officials to appeal to science to legitimize their power (Ihl, Kaluszynski & Pollet, 2003). Once States came to expand their territories and fields of intervention, they found it necessary to draw on intellectual categories and specialist skills, and on detecting as well as effecting tools such as statistics or maps to increase their capacity to take and to enforce relevant decisions (Hood, 1986). This was particularly the case in areas such as education that were crucial for cultural, social and political cohesion and, progressively, for economic development, and which concerned very large numbers of citizens and important groups of administrators and professionals. However, there are at least three main reasons why knowledge is coming to play a more important role than it used to in van Zanten, Agnès: From critical intellectuals to «idea brokers»? Traditions and new developments of links between research and policy-making in education in France. Nordisk Pedagogik, Vol. 29, pp. 53–60 Oslo. ISSN 0901-8050.