Miracle-dz/UniFAR-FTUs huggingface dataset:
Growing Yeast for Fun and Profit: Use of Saccharomyces Cerevisiae as a Model System in Drug Discovery

Yeast has great utility as a surrogate system to study aspects of mammalian biology. This utility extends to the drug discovery process, where yeast has been used to reveal the mechanism of action of compounds, to discover and characterize components of signaling pathways and to dissect protein function. These applications of yeast are illustrated by examples of research published by major pharmaceutical companies.
Estimating bandwidth coverage using geometric models

Geometric models are a proven aid for calculating the CapEx needed for a network deployment and used widely by telecommunication network operators for their access networks. However, for the economic viability an accurate estimation of the delivered bandwidth is important as well. In this paper a method is described to calculate a bandwidth profile for an area under investigation, given a single topology and using the geometric representation. Next to this single topology result, a method to estimate the bandwidth profile for a geometric model of a multi-layer network topology is presented.
Improved robustness of signature-based near-replica detection via lexicon randomization

Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional duplicate detection techniques relying on direct inter-document similarity computation (e.g., using the cosine measure) are often not feasible given the time and memory performance constraints. On the other hand, fingerprint-based methods, such as I-Match, are very attractive computationally but may be brittle with respect to small changes to document content. We focus on approaches to near-replica detection that are based upon large-collection statistics and present a general technique of increasing their robustness via multiple lexicon randomization. In experiments with large web-page and spam-email datasets the proposed method is shown to consistently outperform traditional I-Match, with the relative improvement in duplicate-document recall reaching as high as 40-60%. The large gains in detection accuracy are offset by only small increases in computational requirements.
Adaptive Coding and Face Recognition

Face adaptation generates striking face aftereffects, but is this adaptation useful? The answer appears to be yes, with several lines of evidence suggesting that it contributes to our face-recognition ability. Adaptation to face identity is reduced in a variety of clinical populations with impaired face recognition. In addition, individual differences in face adaptation are linked to face-recognition ability in typical adults. People who adapt more readily to new faces are better at recognizing faces. This link between adaptation and recognition holds for both identity and expression recognition. Adaptation updates face norms, which represent the typical or average properties of the faces we experience. By using these norms to code how faces differ from average, the visual system can make explicit the distinctive information that we need to recognize faces. Thus, adaptive norm-based coding may help us to discriminate and recognize faces despite their similarity as visual patterns.
Vis-à-Vis: Privacy-preserving online social networking via Virtual Individual Servers

Online social networks (OSNs) are immensely popular, but their centralized control of user data raises important privacy concerns. This paper presents Vis-à-Vis, a decentralized framework for OSNs based on the privacy-preserving notion of a Virtual Individual Server (VIS). A VIS is a personal virtual machine running in a paid compute utility. In Vis-à-Vis, a person stores her data on her own VIS, which arbitrates access to that data by others. VISs self-organize into overlay networks corresponding to social groups. This paper focuses on preserving the privacy of location information. Vis-à-Vis uses distributed location trees to provide efficient and scalable operations for sharing location information within social groups. We have evaluated our Vis-à-Vis prototype using hundreds of virtual machines running in the Amazon EC2 compute utility. Our results demonstrate that Vis-à-Vis represents an attractive complement to today's centralized OSNs.
Electrospinning Fabrication and Performance Evaluation of Polyacrylonitrile Nanofiber for Air Filter Applications

Nano materials possess unique mechanical, physical, and chemical properties. They are small, and have an ultrahigh surface area, making them suitable for air filter applications since air filtration is necessary to protect sensitive components from harmful particulates and gaseous contaminants. The electrospinning method has been recognized as an efficient technique for fabricating polymer nanofibers. In order to determine the optimum manufacturing conditions, the effects of several electrospinning process parameters on the diameter, orientation, and distribution of polyacrylonitrile (PAN) nanofiber are analyzed. To improve interlaminar fracture toughness and suppress the delamination in the form of laminated non-woven fibers by using a heat roller, the performances of filter efficiency and pressure drop achieved with the PAN nanofiber air filter are evaluated experimentally.
An approach for discrete-event simulations of alamouti scheme in ad hoc networks

This paper presents an approach for discrete-event simulations of wireless ad hoc networks equipped with the transmit diversity technique known as the “Alamouti scheme. ” The approach is based on Alamouti's resulting effect on the signal-to-interference-plus-noise ratio (SINR) at a given node when receiving a frame under multiple access interference (MAI). Hence, unlike previous works on MIMO ad hoc networks which have assumed fixed diversity gains or fully-connected scenarios, the proposed approach allows simulations of Alamouti-enabled ad hoc networks under any given topology and modulation scheme. Clear channel assessment (CCA) mechanisms for CSMA-based Alamouti networks are also investigated regarding their impact on spatial reuse and throughput. Simulations of Alamouti-equipped IEEE 802.11 ad hoc networks are showcased under topologies not fully-connected. The obtained results indicate that throughput gains may be achieved when CCA is based on the average energy received across all antennas, in which case robustness to errors is balanced with spatial reuse.
WCET: aware dynamic instruction cache locking

Caches are widely used in embedded systems to bridge the increasing speed gap between processors and off-chip memory. However, caches make it significantly harder to compute the WCET(Worst Case Execution Time) of a task. To alleviate this problem, cache locking has been proposed. We investigate the I-cache locking problem, and propose a WCET-aware, min-cut based dynamic instruction cache locking approach for reducing the WCET of a single task. We have implemented our approach and compared it with the two state-of-the-art cache locking approaches by using a set of benchmarks from the MRTC benchmark suite. The experimental results show that our approach achieves the average improvements of 41%, 15% and 7% over the partial locking approach for the 256B, 512B and 1KB caches, respectively, and 7%, 18% and 17% over the longest path based dynamic locking approach for the 256B, 512B and 1KB caches, respectively.
Neural Network Based on SET Inverter Structures: Neuro-Inspired Memory

This paper presents a basic block for building large-scale single-electron neural networks. This macro block is completely composed of SET inverter circuits. We present and discuss the basic parts of this device. The full design and simulation results were done using MATLAB and SIMON, which are a single-electron tunnel device and circuit simulator based on a Monte Carlo method. Special measures had to be taken in order to simulate this circuit correctly in SIMON and compare results with those of SPICE simulation done before. Moreover, we study part of the network as a memory cell with the idea of combining the extremely low-power properties of the SET and the compact design.
Statistical Assessment of Mediational Effects for Non-Linear Mediational Models

Elucidating causal relationship among variables of interests is critical to epidemiological studies. Such studies often involve mediational models, and require appropriate statistical assessment of mediational effects. However, the current statistical methodologies used to assess mediational effect are limited to linear association. Here, we propose a new definition of mediational effects for a class of generalized mediational models, and estimate the mediational effects through Bayesian modeling and Markov chain Monte Carol (MCMC) techniques. In an earlier study, we showed that, under linear association, our method comes to the same results as the existing methods. Here, we focus on demonstrating how one can apply our method to a generalized mediational model using logistic mediational model as an example. Simulation studies are used to compare the asymptotic and the non-informative Bayesian estimates for the mediation effects. Case studies are presented to illustrate the application of the proposed method to public health research using a nationally representative database.
Error, Error in My Model, Who’s the Fairest Error of Them All?

We examine some key errors that influence the validity of scientific inquiry in the social and behavioral sciences, emphasizing the need for researchers to be attuned to the varied sources of error. We discuss error beyond simple inferential processes inherent in null hypotheses testing, for example. and broaden the scope of influences in the modeling process, from model specification, to model evaluation, modification, and comparison as well as the dissemination process. From this broadened perspective on the myriad possible sources of error, error management becomes a multipronged endeavor that involves all persons contributing to the peer-review bedrock of scientific inquiry.
Mapping the Path to Narrative Common Ground with Couples.

During psychotherapeutic work, couples typically present distinctly contradictory stories about their life together. This paper explores how a psychotherapist may promote mutually beneficial change for couples who contradict each other. One suggested tactic is a non-impositional approach to therapy using a narrative-oriented context. Such a tactic offers a conceptual point of reference for the therapist and the couple as they search for common ground. This orienting concept, called "preferred view," assumes that problems between people develop from the mishandling of ordinary difficulties which often arise during kev transition points. These subsequent disjunctive perspectives create problems which cause views of self and others to become increasingl,, fixed and which leads to more restricted actions. The narrative common ground is obscured because each person holds a jaundiced view of the other. By understanding a problem's evolution, the therapist may develop a strategy for resolution. The therapist may then expand the narrative landscape by asking interested, curious, and respectful questions which do not threaten the client's preferred view. As the disjunctiveness decreases, the therapist is better able to suggest alternative explanations--the "preferred view"--for a problem's evolution which fit how people want to be seen by others. (RJM) *********************************************************************** * Reproductions supplied by EDRS are the best that can be made * from the original document. *********************************************************************** Mapping the Path to Narrative Common Ground with Couples Steve Dagirmanjian Joseph B. Eron
Adaptive output feedback control of an underactuated three degrees-of-freedom model helicopter using neural networks

In this paper we apply a recently developed neural network adaptive output feedback control methodology, suited to a class of nonlinear underactuated dynamical systems, to a three degrees-of-freedom (3DOF) model helicopter. Experimental results are presented and illustrate how this approach performs in the presence of modelling errors and parameter variations. Important topics concerning practical implementation are discussed. The obtained results are promising and show that this technique has good performance when dealing with a real uncertain nonlinear underactuated dynamical system.
ESTIMASI MODEL EKSPONENSIAL LIFETIME DENGAN DOUBLE CENSORING

Analisis lifetime merupakan analisis statistik yang memodelkan lama waktu sampai terjadinya suatu kejadian. Penelitian ini menggunakan Distribusi Eksponensial untuk mengestimasi data lifetime dengan double censoring dan menggunakan metode Bayesian yang berdasarkan distribusi prior gamma. Informasi sampel (distribusi prior) tersebut dikombinasikan dengan fungsi likelihood untuk mendapatkan distribusi posterior, sehingga didapatkan estimator dari yaitu dan interval kepercayaan (1 ) 100% untuk , yaitu: dimana penentuan nilai (c)didapatkan dengan pendekatan numerik dengan bantuan Matlab 7.0 pada penerapan kasus. 1 ,c 2
Fault ride through of DFIG wind turbines during symmetrical voltage dip with crowbar or stator current feedback solution

Low Voltage Ride Through is an important feature for wind turbine systems to fulfill grid code requirements. In case of wind turbine technologies using doubly fed induction generators the reaction to grid voltage disturbances is sensitive. Hardware or software protection must be implemented to protect the converter from tripping during severe grid voltage faults. In this paper two methods for low voltage ride through of symmetrical grid voltage dips are investigated. As a basis, an analysis of the rotor voltages during grid fault is given. First, the conventional hardware method using a crowbar is introduced. Then the stator current reference feedback solution is presented. Both methods are investigated and compared by simulation results using 2 MW wind turbine system parameters. Measurement results on a 22 kW laboratory DFIG test bench show the effectiveness of the proposed control technique.
The photolysis module JVAL-14, compatible with the MESSy standard, and the JVal PreProcessor (JVPP)

Abstract. We present version 14 of the photolysis module JVAL. Taking atmospheric conditions as input, JVAL calculates photolysis rate coefficients, i.e. the speed of dissociation of atmospheric molecules in the sunlight. Computational efficiency is obtained through the use of parameters for polynomial curve fitting and lookup tables. Physical changes compared to the previous version include a parameterization of the Lyman-alpha absorption, and an update of the UV/VIS cross sections to the most recent recommended values. JVAL also includes the auxiliary program JVPP (JVal PreProcessor) which pre-calculates these parameters based on the absorption cross sections and quantum yields of the atmospheric molecules. It is possible to use JVAL either as a stand-alone program or as a module inside the Modular Earth Submodel System (MESSy). JVAL is a community model published under the GNU General Public License.
Compositional Reliability Analysis for Probabilistic Component Automata

In this paper we propose a modelling formalism, Probabilistic Component Automata (PCA), as a probabilistic extension to Interface Automata to represent the probabilistic behaviour of component-based systems. The aim is to support composition of component-based models for both behaviour and non-functional properties such as reliability. We show how additional primitives for modelling failure scenarios, failure handling and failure propagation, as well as other algebraic operators, can be combined with models of the system architecture to automatically construct a system model by composing models of its subcomponents. The approach is supported by the tool LTSA-PCA, an extension of LTSA, which generates a composite DTMC model. The reliability of a particular system configuration can then be automatically analysed based on the corresponding composite model using the PRISM model checker. This approach facilitates configurability and adaptation in which the software configuration of components and the associated composition of component models are changed at run time.
Weak order for the discretization of the stochastic heat equation

In this paper we study the approximation of the distribution of $X_t$ Hilbert--valued stochastic process solution of a linear parabolic stochastic partial differential equation written in an abstract form as $$ dX_t+AX_t \, dt = Q^{1/2} d W_t, \quad X_0=x \in H, \quad t\in[0,T], $$ driven by a Gaussian space time noise whose covariance operator $Q$ is given. We assume that $A^{-\alpha}$ is a finite trace operator for some $\alpha>0$ and that $Q$ is bounded from $H$ into $D(A^\beta)$ for some $\beta\geq 0$. It is not required to be nuclear or to commute with $A$. The discretization is achieved thanks to finite element methods in space (parameter $h>0$) and implicit Euler schemes in time (parameter $\Delta t=T/N$). We define a discrete solution $X^n_h$ and for suitable functions $\varphi$ defined on $H$, we show that $$ |\E \, \varphi(X^N_h) - \E \, \varphi(X_T) | = O(h^{2\gamma} + \Delta t^\gamma) $$ \noindent where $\gamma<1- \alpha + \beta$. Let us note that as in the finite dimensional case the rate of convergence is twice the one for pathwise approximations.
Software management based on mobile agents

There is a need for better management of company's software. It means global access control and hierarchical version control for all the software, used in a project environment. This management involves control of the software reuse even if it is free access software. The directives, we present in this document are designed to set traceability of used software from the project creation until its last evolution. Because this kind of information belongs to the project itself, it has to be saved closely to the core data of the project. A software management directive improves the quality of the project and insures a better maintainability. Our management system is based on mobile agent system. The agents observe the use and context of any software. Such mobile agent system is able to create reports about the activities of the software but also, the agent collect data, which will be the basis of a software map of the company. It will also increase the opportunity for software reuse and consequent productivity improvements.
Validity and Reliability of Locomotor Development Inventory in Malaysian Education Context

The purpose of this article is to report the, validity and reliability of locomotor development inventory that has been used to evaluate locomotor development of children aged 7, 8 and 9 years old. The first phase of the study has been carried out through Exploratory Factor Analysis and test re-test procedure by using data from 90 boys from a primary school in Penang, Malaysia. The Exploratory Factor Analysis through orthogonal rotation varimax method has shown six sub test have been developed. Meanwhile, the test re-test coefficient is . 98. The reliability and objectivity of the assistant examiner also have been obtained, the r coefficient ranged from . 88 to . 95 and ranged from . 84 to . 92, accordingly. The Cronbach Alpha of the overall items is . 82. For the second phase of the study, the Confirmatory Factor Analysis as well as Pearson correlation analysis has been carried out toward data of 192 boys from the primary schools in Malaysia. The purpose of this analysis is to support the factor structure developed from the first phase of the study. The Cronbach Alpha of the items is . 82, meanwhile for each subtest developed ranged from . 74 to . 89. As the conclusion, the result of Confirmatory Factor Analysis supported the six subtest developed from the first phase of the study and the subtest are distinctive.
Construction, modeling and control of a mini autonomous UAV helicopter

We present in the paper the comprehensive design procedure of a mini UAV helicopter, called BabyLion. The hardware construction, along with the selection of all of necessary components, will be introduced. Since the system identification method is only partially suitable for the self-built BabyLion, we propose a more suitable parameter identification approach which combines both system identification and first principle modeling techniques to obtain a high fidelity linear model for hover and near hover flight conditions. A flight control law, which is based on the linear quadratic Gaussian (LQG) method and dynamic inversion approach, has been designed for the realization of automatic control. Simulation result and practical implementation results have proved that the designed controller is suitable.
Folate Intake and Markers of Folate Status in Women of Reproductive Age, Pregnant and Lactating Women: A Meta-Analysis

Background. Pregnant and breastfeeding women are at risk for folate deficiency. Folate supplementation has been shown to be associated with enhanced markers of folate status. However, dose-response analyses for adult women are still lacking. Objective. To assess the dose-response relationship between total folate intake (folic acid plus dietary folate) and markers of folate status (plasma/serum folate, red blood cell folate, and plasma homocysteine); to evaluate potential differences between women in childbearing age, pregnant and lactating women. Methods. Electronic literature searches were carried out on three databases until February 2010. The overall pooled regression coefficient (β) and SE(β) were calculated using meta-analysis on a double-log scale. Results. The majority of data was based on nonpregnant, nonlactating women in childbearingage. The pooled estimate of the relationship between folate intake and serum/plasma folate was 0.56 (95% CI = 0.40–0.72, P < 0.00001); that is, the doubling of folate intake increases the folate level in serum/plasma by 47%. For red blood cell folate, the pooled-effect estimate was 0.30 (95% CI = 0.22–0.38, P < 0.00001), that is, +23% for doubling intake. For plasma-homocysteine it was –0.10 (95% = –0.17 to –0.04, P = 0.001), that is, –7% for doubling the intake. Associations tended to be weaker in pregnant and lactating women. Conclusion. Significant relationships between folate intake and serum/plasma folate, red blood cell folate, and plasma homocysteine were quantified. This dose-response methodology may be applied for setting requirements for women in childbearing age, as well as for pregnant and lactating women.
Self-heating and current degradation in 25 nm FD SOI devices with (100) and (110) crystallographic orientation

In this paper we present simulation results obtained with our electro-thermal particle-based device simulator for 25 nm fully depleted silicon-on-insulator devices with (100) and (110) crystallographic orientations. We also investigate the importance of the proper choice of the thermal conductivity model (which is particularly important for thin silicon films) in properly predicting the average maximum temperature and the maximum temperature in the hot spot which are important parameters regarding device reliability.