Miracle-dz/UniFAR-FTUs huggingface dataset:
The Yeast Deletion Collection: A Decade of Functional Genomics

The yeast deletion collections comprise >21,000 mutant strains that carry precise start-to-stop deletions of ∼6000 open reading frames. This collection includes heterozygous and homozygous diploids, and haploids of both MATa and MATα mating types. The yeast deletion collection, or yeast knockout (YKO) set, represents the first and only complete, systematically constructed deletion collection available for any organism. Conceived during the Saccharomyces cerevisiae sequencing project, work on the project began in 1998 and was completed in 2002. The YKO strains have been used in numerous laboratories in >1000 genome-wide screens. This landmark genome project has inspired development of numerous genome-wide technologies in organisms from yeast to man. Notable spinoff technologies include synthetic genetic array and HIPHOP chemogenomics. In this retrospective, we briefly describe the yeast deletion project and some of its most noteworthy biological contributions and the impact that these collections have had on the yeast research community and on genomics in general.
ISOMONODROMIC DEFORMATIONS AND SUPERSYMMETRIC GAUGE THEORIES

Seiberg-Witten solutions of four-dimensional supersymmetric gauge theories possess rich but involved integrable structures. The goal of this paper is to show that an isomonodromy problem provides a unified framework for understanding those various features of integrability. The Seiberg-Witten solution itself can be interpreted as a WKB limit of this isomonodromy problem. The origin of underlying Whitham dynamics (adiabatic deformation of an isospectral problem) too can be similarly explained by a more refined asymptotic method (multiscale analysis). The case of N = 2 SU(s) supersymmetric Yang-Mills theory without matter is considered in detail for illustration. The isomonodromy problem in this case is closely related to the third Painleve equation and its multicomponent analogs. An implicit relation to fusion of topological sigma models is thereby expected.
Environmental Health: a Global Access Science Source Spatial Analysis of Lung, Colorectal, and Breast Cancer on Cape Cod: an Application of Generalized Additive Models to Case-control Data

Background: The availability of geographic information from cancer and birth defect registries has increased public demands for investigation of perceived disease clusters. Many neighborhood-level cluster investigations are methodologically problematic, while maps made from registry data often ignore latency and many known risk factors. Population-based case-control and cohort studies provide a stronger foundation for spatial epidemiology because potential confounders and disease latency can be addressed.
An Ant Colony Clustering Algorithm

This paper presents an ant colony clustering algorithm for optimally clustering N objects into K clusters. The algorithm employs the global pheromone updating and the heuristic information to construct clustering solutions and uniform crossover operator to further improve solutions discovered by ants. This algorithm has been implemented and tested on several simulated and real datasets. The performance of this algorithm is compared with other popular heuristic methods. Our computational simulations reveal very encouraging results in terms of the quality of solution found, the average number of function evaluations and the processing time required.
Natural Products: Repellency and Toxicity of Wild Tomato Leaf Extracts to the Two-Spotted Spider Mite, Tetranychus urticae Koch

The potential of using phytochemicals from leaves of wild tomato for controlling the two-spotted spider mite, Tetranychus urticae Koch, is explored in this study as a promising alternative to the use of synthetic pesticides. Wild tomato accessions of Lycopersicon hirsutum plants that are not consumed by humans were planted under greenhouse conditions for mass production of leaves. Crude extracts from leaves of three accessions of L. hirsutum, six accessions of L. hirsutum f. glabratum, and one accession each of L. pennellii and L. pimpinellifolium were prepared in chloroform, ethanol and hexane. Two spider mite bioassays, one a measure of antibiosis and the other a measure of repellency, were utilized to determine the acaricidal performance of the crude extracts. The bioassay for antibiosis was a 6-h no-choice test. The bioassay for repellency utilized a ring bioassay. Chloroform leaf extracts of L. hirsutum f. glabratum accessions (PI-251304, PI-134417, PI-134418, and PI-126449) exhibited greatest antibiotic activity on two-spotted spider mites; the hexane extracts exhibited greatest repellency. Extracts from PI-251304, PI-126449, PI-134417, and PI-134418 were especially lethal (chloroform) or repellent (hexane). We investigated differences in chemical composition of the crude leaf extracts that may explain the observed differences in mortality and repellency among the different accessions. Major chemical compounds (α -curcumene, α -zingiberene, trans-caryophyllene, 2-undecanone, and 2-tridecanone) known to have pesticidal efficacy were detected and quantified in the crude leaf extracts using a gas chromatograph (GC) equipped with a mass spectrometer (GC/MS). Lethality of extracts was mainly associated with the presence of high concentrations of 2-tridecanone; repellency of extracts was mainly associated with the presence of trans-caryophyllene. Leaf extracts of L. hirsutum f. glabratum accessions that contain significant quantities of 2-tridecanone and/or trans-caryophyllene could be useful for managing populations of spider mites, which could reduce reliance on synthetic pesticides.
Monitoring Respiration and Cardiac Activity Using Fiber Bragg Grating-Based Sensor

This paper shows the design of a fiber-based sensor for living activities in human body and the results of a laboratory evaluation carried out on it. The authors have developed a device that allows for monitoring the vibrations of human body evoked by living activities-breathing and cardiac rhythm. The device consists of a Bragg grating inscribed into a single mode optical fiber and operating on a wavelength of around 1550 nm. The fiber Bragg grating (FBG) is mounted inside a pneumatic cushion to be placed between the backrest of the seat and the back of the monitored person. Deformations of the cushion, involving deformations of the FBG, are proportional to the vibrations of the body leaning on the cushion. Laboratory studies have shown that the sensor allows for obtaining dynamic strains on the sensing FBG in the range of 50-124 μ strain caused by breathing and approximately 8.3 μstrain induced by heartbeat, which are fully measurable by today's FBG interrogation systems. The maximum relative measurement error of the presented sensor is 12%. The sensor's simple design enables it to be easily implemented in pilot's and driver's seats for monitoring the physiological condition of pilots and drivers.
QUARK: Empirical Assessment of Automaton-based Specification Miners

Software is often built without specification. Tools to automatically extract specification from software are needed and many techniques have been proposed. One type of these specifications - temporal API specification - is often specified in the form of automaton. There has been much work on reverse engineering or mining software temporal specification, using dynamic analysis techniques; i.e., analysis of software program traces. Unfortunately, the issues of scalability, robustness and accuracy of these techniques have not been comprehensively addressed. In this paper, we describe QUARK (quality assurance framework) that enables assessments of the performance of a specification miner in generating temporal specification of software through traces recorded from its API interaction. QUARK requires the temporal specification produced by the miner to be expressed as an automaton. It accepts a user-defined simulator automaton and a specification miner. It produces quality assurance measures on the specification generated by the miner. Extensive experiments on 3 specification miners have been performed to demonstrate the usefulness of our proposed framework
Necessary and Sufficient Conditions for Recovery of Sparse Signals over Finite Fields

We consider a compressed sensing (CS) framework over finite fields. We derive sufficient and necessary conditions for recovery of sparse signals in terms of the ambient dimension of the signal space, the sparsity of the signal, the number of measurements, and the field size. We show that the sufficient condition coincides with the necessary condition if the sensing matrix is sufficiently dense while both the length of the signal and the field size grow to infinity. One of the interesting conclusions includes that unless the signal is very sparse, the sensing matrix does not have to be dense to have the upper bound coincide with the lower bound.
Microwave technologies for space: Needs & challenges from commercial and system engineering perspectives

Microwave component manufacturers of space-qualified hardware require direction on where the most urgent needs and challenges exist in the commercial satellite marketplace. This paper synthesizes the needs from a commercial business viewpoint and a system engineering viewpoint and finds that the two are in harmony. The primary focus for space-based microwave technology innovation should be for the geostationary fixed service and broadcast service satellite and spot beam satellite payloads. Specific examples of desired innovations and improvements in active and passive microwave components are provided.
A procedural object distribution function

In this article, we present a procedural object distribution function, a new texture basis function that distributes procedurally generated objects over a procedurally generated texture. The objects are distributed uniformly over the texture, and are guaranteed not to overlap. The scale, size, and orientation of the objects can be easily manipulated. The texture basis function is efficient to evaluate, and is suited for real-time applications. The new texturing primitive we present extends the range of textures that can be generated procedurally.The procedural object distribution function we propose is based on Poisson disk tiles and a direct stochastic tiling algorithm for Wang tiles. Poisson disk tiles are square tiles filled with a precomputed set of Poisson disk distributed points, inspired by Wang tiles. A single set of Poisson disk tiles enables the real-time generation of an infinite amount of Poisson disk distributions of arbitrary size. With the direct stochastic tiling algorithm, these Poisson disk distributions can be evaluated locally, at any position in the Euclidean plane.Poisson disk tiles and the direct stochastic tiling algorithm have many other applications in computer graphics. We briefly explore applications in object distribution, primitive distribution for illustration, and environment map sampling.
THE DETERMINATION OF SOLUBLE CARBOHYDRATES.

It is generally agreed that soluble carbohydrates are the most available, as well as the original, source of metabolic energy for plants. Hence, studies of the formation, translocation, condensation, hydrolysis and assimilation of these compounds have commanded, and will undoubtedly continue to command, a major place in plant physiological analysis. Separation between soluble and insoluble carbohydrates is here made by classing as insoluble those compounds which require hydrolysis before they can be quantitatively extracted from plant tissues by water or alcohol. In the strictest sense the extraction of dextrins and pentosans is probably accomplished by suspension rather than by true solution, but for analytical purposes they may be termed "soluble" compounds. In the interest of completeness we have included the glucosides under this heading, although it is hardly probable that they should be classed with the carbohydrates from the standpoint of physiological function. A brief treatment of the occurrence, solubility, reducing power and other properties of the carbohydrates here considered is given by HAAs and HILL (4). All but pectins and the gums are readily soluble in water. These and the polysaccharides (dextrin, inulin and mannan) are insoluble in hot 80 per cent. alcohol. It is well known that all naturally occurring free sugars with the exception of sucrose and raffinose seduce Fehling's solution. The saponins also have this property. Other glucosides, the soluble polysaccharides, pectins and gums acquire reducing power by hydrolysis, as do the non-reducing sugars. Furthermore, such reducing disaccharides as maltose and lactose acquire an increase of this property by hydrolysis. The latter carbohydrate is added to tissue in the use of commercial taka-diastase, which may contain up to 75 per cent. of the sugar. The presence of more than two or three per cent. of pentose sugars, or of appreciable quantities of galactose or mannose, is generally considered to be an indication of poor technique in preservation or separation, since these sugars are transition compounds normally present in polymerized forms. DAVIS and DAISH (2) are authority for the statement that the presence of maltose or isomaltose is due to starch hydrolysis in preservation and they object on this ground to preservation by drying. Apparently germinating seedlings may be an exception to this rule, but it is general enough in its application to be of value.
Regulation of the Hippocampal Network by VGLUT3-Positive CCK- GABAergic Basket Cells

Hippocampal interneurons release the inhibitory transmitter GABA to regulate excitation, rhythm generation and synaptic plasticity. A subpopulation of GABAergic basket cells co-expresses the GABA/glycine vesicular transporters (VIAAT) and the atypical type III vesicular glutamate transporter (VGLUT3); therefore, these cells have the ability to signal with both GABA and glutamate. GABAergic transmission by basket cells has been extensively characterized but nothing is known about the functional implications of VGLUT3-dependent glutamate released by these cells. Here, using VGLUT3-null mice we observed that the loss of VGLUT3 results in a metaplastic shift in synaptic plasticity at Shaeffer’s collaterals – CA1 synapses and an altered theta oscillation. These changes were paralleled by the loss of a VGLUT3-dependent inhibition of GABAergic current in CA1 pyramidal layer. Therefore presynaptic type III metabotropic could be activated by glutamate released from VGLUT3-positive interneurons. This putative presynaptic heterologous feedback mechanism inhibits local GABAergic tone and regulates the hippocampal neuronal network.
Using Context to Predict the Purpose of Argumentative Writing Revisions

While there is increasing interest in automatically recognizing the argumentative structure of a text, recognizing the argumentative purpose of revisions to such texts has been less explored. Furthermore, existing revision clas-siﬁcation approaches typically ignore contextual information. We propose two approaches for utilizing contextual information when predicting argumentative revision purposes: developing contextual features for use in the classiﬁcation paradigm of prior work, and transforming the classiﬁcation problem to a sequence labeling task. Experimental results using two corpora of student essays demonstrate the utility of contextual information for predicting argumentative revision purposes.
Clinical applications of the nuclear magnetic resonance (NMR) limb blood flowmeter

The principles of nuclear magnetic resonance (NMR) have been employed in the design of noninvasive blood flowmeters. This paper describes an NMR limb blood flowmeter which has been used in statistical studies of normal volunteers, and diagnostically on patients with a variety of circulatory problems. Quantitative blood flow measurements are comparable to those obtained by other methods such as indicitor dilution, radioactvive clearance, and water, strain gauge, capacitance, and air plethysmography.
Testing a model linking environmental hope and self-control with students' positive emotions and environmental behavior

ABSTRACT This study examined a moderated mediation model with 254 Israeli junior high school students, hypothesizing that students' environmental hope would simultaneously mediate the relationship between their engagement in school-based environmental activities (green engagement) and their environmental behavior as well as their positivity ratio, but that students' self-control skills would moderate these mediation processes. The results showed that engagement was linked to self-reported pro-environmental behavior, as well as experiencing more positive than negative emotions. Multigroup structural equation modeling indicated that the model provided a good fit to the data, and rigorous bootstrap analysis confirmed the simultaneous mediating role of environmental hope—but only for students with high self-control skills. The limitations and implications of the findings are discussed, and future directions are presented.
Impact of wheat-Leymus racemosus added chromosomes on wheat adaptation and tolerance to heat stress

Adaptation of wheat (Triticum aestivum L.) to high temperatures could be improved by introducing alien genes from wild relatives. We evaluated the responses of wheat-Leymus racemosus chromosome introgression lines to high temperature to determine their potentiality for developing improved wheat cultivars. Introgression lines and their parent Chinese Spring were evaluated in a growth chamber at the seedling stage and in the field at the reproductive stage in two heat-stressed environments in Sudan. Optimum and late planting were used to ensure exposure of the plants to heat stress at the reproductive stage. The results revealed the impact of several Leymus chromosomes in improving wheat adaptation and tolerance to heat. Three lines possessed enhanced adaptation, whereas two showed high heat tolerance. Two addition lines showed a large number of kernels per spike, while one possessed high yield potential. Grain yield was correlated negatively with the heat susceptibility index, days to heading and maturity and positively with kernel number per spike and triphenyl tetrazolium chloride assay under late planting. The findings suggest that these genetic stocks could be used as a bridge to introduce the valuable Leymus traits into a superior wheat genetic background, thus helping maximize wheat yield in heat-stressed environments.
Study on The Model of Creep and The Calculation of Stress Field for Concrete

The exact prediction of creep is of great significance to the simulation of the stress field of concrete creep. To overcome the use limitation of the current prediction model of creep, we refer to pertinent models abroad and adopt the method that other factors are controlled under standard state but only the creep varies to evaluate the feasibility of the pre- diction model with current characteristic of concrete materials and available test data. In the prediction of creep of high performance concrete, each influencing factor can be quantified, so we don't need a large number of test data. It also sup- plements the defect that factors considered are usually simple in the common prediction model of concrete. The calcula- tion is simple and convenient and it achieves a higher accuracy. In the calculation of creep stress field, the creep is calcu- lated according to fitting creep degree. Based on it,, this paper established the creep coefficient formulas in the calculation of strain increment, and deduces the number of finite element expressions which are used to calculate the creep stress field with creep coefficient. the HPC creep coefficient formula based on the NSC stand- ard. The model adopts the spreading models of CEN Euro code 2 (1991) and CEB Model 90 (1993); generates the sample data of creep coefficient under standard conditions according to the calculation results of creep coefficients pro- vided by the improved CEB model (1993), and further sets up the creep coefficient formula under the standard state. Compared with the creep coefficient model of ordinary con- crete, all the influencing factors are numerical in the model, and the model is capable to forecast creep of High- performance concrete precisely even without lots of test data. This article is divided into two parts. In the first part we illustrated the establishment of the creep coefficient predic- tion model for Chinese Concrete materials and the model diagnosis. In the second part, we imported the creep coeffi- cient into the formula for calculating the incremental strain, and derived the expression of creep finite element stress field using creep coefficient.
Lexical Ambiguity and The Role of Knowledge Representation in Lexicon Design

The traditional framework for ambiguity resolution employs only 'static' knowledge, expressed generally as selectional restrictions or domain specific constraints, and makes no use of any specific knowledge manipulation mechanisms apart from the simple ability to match valences of structurally related words. In contrast, this paper suggests how a theory of lexical semantics making use of a knowledge representation framework offers a richer, more expressive vocabulary for lexical information. In particular, by performing specialized inference over the ways in which aspects of knowledge structures of words in context can be composed, mutually compatible and contextully relevant lexical components of words and phrases are highlighted. In the view presented here, lexical ambiguity resolution is an integral part of the same procedure that creates the semantic interpretation of a sentence itself.
IPA - An intelligent personal assistant agent for task performance support

Assisting users in performing their tasks is an important issue in Human Computer Interaction research. A solution to deal with this challenge is to build a personal assistant agent capable to discover the user's habits, abilities, preferences, and goals, ever more accurately anticipating the user's intentions. In order to solve in an intelligent manner this problem, the assistant agent has to continuously improve its behavior based on previous experiences. By endowing the agent with the learning capability, it will become able to adapt himself to the user's behavior. This paper proposes an intelligent personal assistant agent that learns by supervision to assist users in performing specific tasks. For evaluating the performance of the agent a case study is considered, and a neural network is used by the agent to learn by supervision from its experience. We also provide a comparison of our approach with other similar existing work.
SCORE BASED DEADLINE CONSTRAINED WORKFLOW SCHEDULING ALGORITHM FOR CLOUD SYSTEMS

Cloud Computing is the latest and emerging trend in information technology domain. It offers utility- based IT services to user over the Internet. Workflow scheduling is one of the major problems in cloud systems. A good scheduling algorithm must minimize the execution time and cost of workflow application along with QoS requirements of the user. In this paper we consider deadline as the major constraint and propose a score based deadline constrained workflow scheduling algorithm that executes workflow within manageable cost while meeting user defined deadline constraint. The algorithm uses the concept of score which represents the capabilities of hardware resources. This score value is used while allocating resources to various tasks of workflow application. The algorithm allocates those resources to workflow application which are reliable and reduce the execution cost and complete the workflow application within user specified deadline. The experimental results show that score based algorithm exhibits less execution time and also reduces the failure rate of workflow application within manageable cost. All the simulations have been done using CloudSim toolkit.