Miracle-dz/UniFAR-FTUs huggingface dataset:
Living Abroad: Personal Adjustment and Personnel Policy in the Overseas Setting.

Change your habit to hang or waste the time to only chat with your friends. It is done by your everyday, don't you feel bored? Now, we will show you the new habit that, actually it's a very old habit to do that can make your life more qualified. When feeling bored of always chatting with your friends all free time, you can find the book enPDF living abroad personal adjustment and personnel policy in the overseas setting and then read it.
MP:PD—a data base of internal packing densities, internal packing defects and internal waters of helical membrane proteins

The membrane protein packing database (MP:PD) (http://proteinformatics.charite.de/mppd) is a database of helical membrane proteins featuring internal atomic packing densities, cavities and waters. Membrane proteins are not tightly packed but contain a considerable number of internal cavities that differ in volume, polarity and solvent accessibility as well as in their filling with internal water. Internal cavities are supposed to be regions of high physical compressibility. By serving as mobile hydrogen bonding donors or acceptors, internal waters likely facilitate transition between different functional states. Despite these distinct functional roles, internal cavities of helical membrane proteins are not well characterized, mainly because most internal waters are not resolved by crystal structure analysis. Here we combined various computational biophysical techniques to characterize internal cavities, reassign positions of internal waters and calculate internal packing densities of all available helical membrane protein structures and stored them in MP:PD. The database can be searched using keywords and entries can be downloaded. Each entry can be visualized in Provi, a Jmol-based protein viewer that provides an integrated display of low energy waters alongside membrane planes, internal packing density, hydrophobic cavities and hydrogen bonds.
Unorthodox Sisters

This article explores the relation between women's active engagement with trans-national migration and transformations in the meanings and practices of marriage through the lens of gender relations and generational change. After reconstructing the history of Malayali migration in Italy, I will show how ideologies and practices surrounding marriage and dowry, far from being confined to one country, are subjects of negotiation between different contexts and heterogeneous household expectations. My conclusions are two-fold. I will argue that the relation between women's transnational migration and changes in household relations and practices should be understood as a dialectical process. Second, I will argue that the analysis of transnational marriages through the perspective of life-cycle transformations and generational change is a basic condition for understanding how multiple meanings of modernity inform processes of change in contemporary Malayali marriage.
VFDB: a reference database for bacterial virulence factors

Bacterial pathogens continue to impose a major threat to public health worldwide in the 21st century. Intensified studies on bacterial pathogenesis have greatly expanded our knowledge about the mechanisms of the disease processes at the molecular level over the last decades. To facilitate future research, it becomes necessary to form a database collectively presenting the virulence factors (VFs) of various medical significant bacterial pathogens. The aim of virulence factor database (VFDB) (http://www.mgc.ac.cn/VFs/) is to provide such a source for scientists to rapidly access to current knowledge about VFs from various bacterial pathogens. VFDB is comprehensive and user-friendly. One can search VFDB by browsing each genus or by typing keywords. Furthermore, a BLAST search tool against all known VF-related genes is also available. VFDB provides a unified gateway to store, search, retrieve and update information about VFs from various bacterial pathogens.
Intelligent traction control in electric vehicles using an acoustic approach for online estimation of road-tire friction

Torque control of electric motor via current gives the advantage of simplicity and fast response over the complicated torque control of an internal combustion engine which may depend on several parameters ranging from fuel valve angle to gas pedal position and several delay factors. Although traction control system (TCS) for in-wheel-motor (IWM) configuration electric vehicles (EV) has advantages, the performance of the control system, as in most traction control cases, still depends on (1)accurate estimation of road-tire friction characteristics and (2) measurement of slip ratio requiring expensive sensors for obtaining wheel and chassis velocity. The main contribution of this work is design and integration of an acoustic road-type estimation system (ARTE), which significantly increases the robustness and reduces the cost of TCS in IWM configuration EVs. Unlike complicated and expensive sensor units, the system uses a simple data collection set-up including a low-cost cardioid microphone directed to vicinity of road-tire interface. The acoustic data is then reduced to features such as linear predictive, cepstrum and power spectrum coefficients. For robust estimation, only some of these coefficients are selected based on minimum intra-class variance and maximum inter-class distance criteria to train an artificial neural network (ANN) for classification. The road types can be grouped into: Asphalt, gravel, stone and snow with a correct classification rate of 91% for the test data. The predicted road-type is used to select the correct friction characteristic curve (μ-λ) which helps calculating the appropriate torque command for the particular road-tire condition. The system has been evaluated in extensive simulations and the results show that extreme torque values are supressed stabilising the vehicle for several driving scenarios in a more energy-efficient and robust manner compared to previous systems.
The Use of Phage Display in Neurobiology

Phage display has been extensively used to study protein‐protein interactions, receptor‐ and antibody‐binding sites, and immune responses, to modify protein properties, and to select antibodies against a wide range of different antigens. In the format most often used, a polypeptide is displayed on the surface of a filamentous phage by genetic fusion to one of the coat proteins, creating a chimeric coat protein, and coupling phenotype (the protein) to genotype (the gene within). As the gene encoding the chimeric coat protein is packaged within the phage, selection of the phage on the basis of the binding properties of the polypeptide displayed on the surface simultaneously results in the isolation of the gene encoding the polypeptide. This unit describes the background to the technique, and illustrates how it has been applied to a number of different problems, each of which has its neurobiological counterparts. Although this overview concentrates on the use of filamentous phage, which is the most popular platform, other systems are also described. Curr. Protoc. Neurosci. 51:5.12. 1‐5.12. 27. © 2010 by John Wiley & Sons, Inc.
Antisocial Behavior corpus for harmful language detection

We report on experiments that demonstrate the relevance of our AntiSocial Behavior (ASB) corpus as a machine learning resource to detect antisocial behavior from text. We first describe the corpus and then, by using the corpus for training machine learning algorithms, we build a set of binary classifiers. Experimental evaluations revealed that classifiers built based on the ASB corpus produce reliable classification results with up to 98% accuracy. We believe that the dataset will be valuable to researchers and practitioners working in preventing, controlling and diagnosing antisocial behavior and related problems.
Are Automated Planners up to Solve Real Problems

Abstract It is a well known fact that the AI planning community is very committed to apply the developments already achieved in this area to real complex applications. However realistic planning problems bring great challenges not only for the designers during design processes but also for the automated planners during the planning process itself. In addition, it is quite common to face issues about whether the available planners will be up to solve the problem being modeled during the initial design stages. In this paper we present the experience, results and issues that emerged from testing the performance of the recent planners when solving a real and complex problem such as the planning of daily activities of a petroleum plant for docking, storing and distributing oil. Due to the complexity of this real planning problem, the KE tool itSIMPLE was used in order to support all the design processes such as specification, modeling and domain model analysis that resulted in a PDDL model, automatically generated by the tool, which was used as input for planners. In addition, we present the main modeling process performed for the domain model construction.
Cellular Uptake of Tile-Assembled DNA Nanotubes

DNA-based nanostructures have received great attention as molecular vehicles for cellular delivery of biomolecules and cancer drugs. Here, we report on the cellular uptake of tubule-like DNA tile-assembled nanostructures 27 nm in length and 8 nm in diameter that carry siRNA molecules, folic acid and fluorescent dyes. In our observations, the DNA structures are delivered to the endosome and do not reach the cytosol of the GFP-expressing HeLa cells that were used in the experiments. Consistent with this observation, no elevated silencing of the GFP gene could be detected. Furthermore, the presence of up to six molecules of folic acid on the carrier surface did not alter the uptake behavior and gene silencing. We further observed several challenges that have to be considered when performing in vitro and in vivo experiments with DNA structures: (i) DNA tile tubes consisting of 42 nt-long oligonucleotides and carrying single- or double-stranded extensions degrade within one hour in cell medium at 37 °C, while the same tubes without extensions are stable for up to eight hours. The degradation is caused mainly by the low concentration of divalent ions in the media. The lifetime in cell medium can be increased drastically by employing DNA tiles that are 84 nt long. (ii) Dyes may get cleaved from the oligonucleotides and then accumulate inside the cell close to the mitochondria, which can lead to misinterpretation of data generated by flow cytometry and fluorescence microscopy. (iii) Single-stranded DNA carrying fluorescent dyes are internalized at similar levels as the DNA tile-assembled tubes used here.
Okul Yöneticilerinin Yalnızlık ve Yaşam Doyum Düzeylerinin İncelenmesi

Bu arastirma, okul yoneticilerinin yalnizlik duygulari ile yasam doyumlari arasindaki iliskiyi ve bunlarin bazi degiskenler acisindan incelenmesini amaclamaktadir. Arastirmanin veri toplama grubunu, 2007 yilinda Turkiye'nin 2c Anadolu Bolgesinde gorev yapan ilkogretim okullarinda calisan okul yoneticileri arasindan tesadufi kume ornekleme yoluyla secilen toplam 530 ilkogretim okul yoneticisi olusturmaktadir. Arastirmanin veri toplama surecinde, okul yoneticilerinin yalnizlik duzeylerini belirlemek icin UCLA Yalnizlik Olcegi, yasam doyum duzeylerini belirlemek icin Yasam Doyum Olcegi kullanmistir. Verilerin analizinde korelasyon ve ANOVA uygulanmistir. Hizmet yili degiskenine gore, okul yoneticilerinin yalnizlik puan ortalamalari anlamli bir farklilik gosterirken yasam doyumlarinin puan ortalamalari anlamli bir farklilik gostermemistir. Yine ogrenim duzeyi degiskenine gore, okul yoneticilerinin yasam doyumlarinin puan ortalamalari arasinda anlamli bir farklilik gozlenmemistir. Yine ogrenim duzeyi degiskenine gore, okul yoneticilerinin yalnizlik puan ortalamalarinda anlamli bir farklilik bulunmustur. Gelir duzeyi degiskenine gore, okul yoneticilerinin yalnizlik puan ortalamalarinda anlamli bir farklilik bulunmazken, yasam doyumlarinin puan ortalamalarinda anlamli bir farklilik bulunmustur. Arastirmanin son bulgusu ise; okul yoneticilerinin yalnizlik ile yasam doyum duzeyleri arasinda negatif yonlu bir 2liski vardir.
Design and Assembly of Large Synthetic DNA Constructs

The availability of custom synthetic gene‐length DNA products removes numerous bottlenecks in research efforts, making gene synthesis an increasingly common commercial service. However, the assembly of synthetic oligonucleotides into large, custom DNA constructs is not especially difficult, and performing “in‐house” gene synthesis has time and cost advantages. This unit will treat both the concerns of design and physical assembly in gene synthesis, including how to design DNA sequences for synthesis and the design of overlapping oligonucleotide schemes to ensure facile assembly into the final product. Assembly is accomplished using a reliable series of PCR reactions, with a troubleshooting assembly protocol included, which not only assembles difficult sequences but allows identification of the source of a failure down to a pair of oligonucleotides. Curr. Protoc. Mol. Biol. 99:3.23. 1‐3.23. 18. © 2012 by John Wiley & Sons, Inc.
Attraction of Female and Male Fruit Flies ( Diptera : Tephritidae ) to Bait Spray Applications for Reduction of Pest Populations

The objective of this study is to determine the efficacy of the bait spray applications in controlling of fruit flies (Diptera: Tephritidae) on fruits and vegetables under field conditions and to make recommendations on how to move this package forward to all stakeholders. Because of concerns over damage to the environment and human health by insecticide cover sprays for fruit fly control, the bait spray technique has been developed. Bait spray applications as an “attract and kill” technology; attract both male and female fruit flies, making them more effective than the male attractant method for field pest management. Bait stations consist of an attractant, a killing agent and a device which contains both of these ingredients. Most bait sprays used in few parts of the world still rely on sugar and molasses, but in many countries the most commonly used are protein hydrolysate, acid hydrolysate and yeast autolysate. The bait speckles are discovered by the ever-foraging fruit flies as these move about the trees each day, and when the pests feed on the very small amount of organically-accepted active ingredient of an insecticide, these are killed. The categories of bait stations may be device carrying on a combination of insecticide and bait in a single formulation or device with a separated bait and insecticide. Fruit flies are lured to the bait and ingest a lethal dose of insecticide or fruit flies get in contact with a lethal dose of insecticide. Bait spray application to knock down localized fruit flies population and infestation is an important component of the pest eradication and increasing the effectiveness of the program that can be one of the most suitable alternatives. A further development and validation of bait sprays require an areawide approach in view of fly’s migration, fruit infestation and cost effectiveness. Further research is needed to optimize bait stations, the development of long-lasting attractants and killing agents, the safe use of killing agents, the development of stronger female attractants and improved bait station devices that are ideally biodegradable. As an output, bait spray alone is not a stand-alone control method for effective fruit fly suppression, but should be integrated with a series of other control methods. The stakeholders including researchers, fruits and vegetables producers and industry, and action programs are expected to contribute by facilitating research and development of fruit fly bait station technology.
Stabilization of Networked Control Systems over Communication Channels

This paper investigates the feedback stabilization problem for networked control systems (NCSs) with unknown disturbances, where sensors and actuators communicate with a remote controller over a multi-purpose network. A new control scheme, which relies on both information-theoretic and control-theoretic tools, is proposed to stabilize linear discrete-time plants. A sufficient condition for stabilization is derived. Simulation results show the validity of the proposed control scheme.
Relationship between Psychological Needs and the Five-Factor Model of Personality Classification

Abstract The relationship between psychological needs, operationalized by the Adjective Check List (ACL), and the Five-Factor model of personality classification, operationalized by the NEO-PI-R, was evaluated in 147 (101 women and 46 men) psychology graduate students. We found presence of the Five Factors in the ACL in that 30 of 37 ACL scales correlated greater than 40 with at least one of the NEO-PI-R factors. This replicates and extends previous findings and is further evidence of construct validity of the five-factor model, as it pertains to personality classification.
Maternal Concentrations of Perfluoroalkyl Substances and Fetal Markers of Metabolic Function and Birth Weight

Abstract Perfluoroalkyl substances (PFAS) are ubiquitous, persistent chemicals that have been widely used in the production of common household and consumer goods for their nonflammable, lipophobic, and hydrophobic properties. Inverse associations between maternal or umbilical cord blood concentrations of perfluorooctanoic acid and perfluorooctanesulfonate and birth weight have been identified. This literature has primarily examined each PFAS individually without consideration of the potential influence of correlated exposures. Further, the association between PFAS exposures and indicators of metabolic function (i.e., leptin and adiponectin) has received limited attention. We examined associations between first-trimester maternal plasma PFAS concentrations and birth weight and cord blood concentrations of leptin and adiponectin using data on 1,705 mother-infant pairs from the Maternal Infant Research on Environmental Chemicals (MIREC) Study, a trans-Canada birth cohort study that recruited women between 2008 and 2011. Bayesian hierarchical models were used to quantify associations and calculate credible intervals. Maternal perfluorooctanoic acid concentrations were inversely associated with birth weight z score, though the null value was included in all credible intervals (log10 β = −0.10, 95% credible interval: −0.34, 0.13). All associations between maternal PFAS concentrations and cord blood adipocytokine concentrations were of small magnitude and centered around the null value. Follow-up in a cohort of children is required to determine how the observed associations manifest in childhood.
Author's Personal Copy the Journal of Systems and Software Afchecker: Effective Model Checking for Context-aware Adaptive Applications

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t Context-aware adaptive applications continually sense and adapt to their changing environments. A large body of such applications relies on user-configured adaptation rules to customize their behavior. We call them rule-based context-aware applications (or RBAs for short). Due to the complexity required for adequately modeling environmental dynamics, adaptation faults are common in these RBAs. One promising approach to detecting such faults is to build a state transition model for an RBA, and exhaustively explore the model's state space. However, it can suffer from numerous false positives. For example, 78.6% of 784 reported faults for one popular RBA – PhoneAdapter, turn out to be false in a real deployment. In this paper, we address this false positive problem by inferring a domain model and an environment model for an RBA. The two models capture the hidden features inside user-configured adaptation rules as well as the RBA's running environment. We formulate these features as deterministic constraints and prob-abilistic constraints to prune false positives and effectively prioritize remaining faults. Our experiments on two real RBAs report that this approach successfully removes 46.5% of false positives and ranks 86.2% of true positives to the top of the fault list.
The Analysis of Censored Treatment Cost Data in Economic Evaluation

This article investigates the way in which the presence of censored cost data in clinical trials should dictate the inferential tests adopted when comparing treatment and nontreatment groups for the purpose of economic evaluation. The authors argue that the techniques of survival analysis are appropriate where censoring is present, and that bias will be imparted if cruder methods are used to analyze cost data, even if that data is drawn from a relevant population. The first section of the article discusses the problem of censoring and survival analysis, while the second examines three methods of dealing with censored cost data and possible biases resulting from them. The third section presents results from actual trial data using the three methods described in the preceding section. Conclusions are presented in section four, where it is argued that these methodological issues are likely to become more important as economists are called upon to evaluate the treatment of chronic conditions using data from clinical trials with finite end points.
Using SDN Approach to Secure Cloud Servers against Flooding Based DDoS Attacks

Distributed Denial of Service (DDoS) attacks represent major risks for the current cloud computing architecture. The rate of DDoS attacks in cloud is growing because of the essential characteristics of cloud computing. In this paper, we propose to use Software Defined Network (SDN) architecture and Fast Entropy approach in order to secure cloud computing environment from DDoS attacks in real time. Thus, we exploited the centralized control and programmable characteristics of SDN architecture to supervise cloud traffics. The provided architecture collects and analyzes flow tables from switches. It also detects DDoS attacks by the controller using Fast Entropy algorithms. Through the performed experimental tests, we evaluated the performance of our solution in defending Cloud computing infrastructure against Distributed Denial of Service attacks.
Phone recognition analysis for trajectory HMM

The trajectory HMM has been shown to be useful for model-based speech synthesis where a smoothed trajectory is generated using temporal constraints imposed by dynamic features. To evaluate the performance of such model on an ASR task, we present a trajectory decoder based on tree search with delayed path merging. Experiment on a speaker-dependent phone recognition task using the MOCHA-TIMIT database shows that the MLE-trained trajectory model, while retaining attractive properties of being a proper generative model, tends to favour over-smoothed trajectory among competing hypothesises, and does not perform better than a conventional HMM. We use this to build an argument that models giving better fit on training data may suffer a reduction of discrimination by being too faithful to training data. This partially explains why alternative acoustic models that try to explicitly model temporal constraints do not achieve significant improvements in ASR.