Miracle-dz/UniFAR-FTUs huggingface dataset:
Further Examination of the Psychometric Properties of the Comprehensive Effects of Alcohol Questionnaire

Although the expectancies component of the Comprehensive Effects of Alcohol Questionnaire has previously been shown to be factorially valid, the factor structure of its valuations component has not previously been examined. The aims of this paper were: (i) to replicate the factor structure of the expectancies items; (ii) to explore the factor structure of the valuations items; and (iii) to investigate the utility of using the Comprehensive Effects of Alcohol Questionnaire to predict drinking behavior. The questionnaire was administered to 1004 university students along with measures of quantity and frequency of alcohol consumption. Fromme, Stroot, and Kaplan's (1993) factor structure of the expectancies scales was replicated. The factor structures of the negative valuations scales were characterized by 2 rather than 3 factors. Negative expectancies improved upon the prediction of drinking quantity and frequency over‐and‐above positive expectancies, and valuations further improved prediction over‐and‐above expectancies. Theoretical and clinical implications are discussed.
A microbial sensor for discovering structural probes of protein misfolding and aggregation

In all cell types, protein homeostasis, or “proteostasis,” is maintained by sophisticated quality control networks that regulate protein synthesis, folding, trafficking, aggregation, disaggregation, and degradation. In one notable example, Escherichia coli employ a proteostasis system that determines whether substrates of the twin-arginine translocation (Tat) pathway are correctly folded and thus suitable for transport across the tightly sealed cytoplasmic membrane. Herein, we review growing evidence that the Tat translocase itself discriminates folded proteins from those that are misfolded and/or aggregated, preferentially exporting only the former. Genetic suppressors that inactivate this mechanism have recently been isolated and provide direct evidence for the participation of the Tat translocase in structural proofreading of its protein substrates. We also discuss how this discriminatory “folding sensor” has been exploited for the discovery of structural probes (e.g., sequence mutations, pharmacologic chaperones, intracellular antibodies) that modulate the folding and solubility of virtually any protein-of-interest, including those associated with aggregation diseases (e.g., α-synuclein, amyloid-β protein). Taken together, these studies highlight the utility of engineered bacteria for rapidly and inexpensively uncovering potent anti-aggregation factors.
Liage de données RDF : évaluation d'approches interlingues. (RDF Data Interlinking : evaluation of Cross-lingual Methods)

The Semantic Web extends the Web by publishing structured and interlinked data using RDF.An RDF data set is a graph where resources are nodes labelled in natural languages. One of the key challenges of linked data is to be able to discover links across RDF data sets. Given two data sets, equivalent resources should be identified and linked by owl:sameAs links. This problem is particularly difficult when resources are described in different natural languages.This thesis investigates the effectiveness of linguistic resources for interlinking RDF data sets. For this purpose, we introduce a general framework in which each RDF resource is represented as a virtual document containing text information of neighboring nodes. The context of a resource are the labels of the neighboring nodes. Once virtual documents are created, they are projected in the same space in order to be compared. This can be achieved by using machine translation or multilingual lexical resources. Once documents are in the same space, similarity measures to find identical resources are applied. Similarity between elements of this space is taken for similarity between RDF resources.We performed evaluation of cross-lingual techniques within the proposed framework. We experimentally evaluate different methods for linking RDF data. In particular, two strategies are explored: applying machine translation or using references to multilingual resources. Overall, evaluation shows the effectiveness of cross-lingual string-based approaches for linking RDF resources expressed in different languages. The methods have been evaluated on resources in English, Chinese, French and German. The best performance (over 0.90 F-measure) was obtained by the machine translation approach. This shows that the similarity-based method can be successfully applied on RDF resources independently of their type (named entities or thesauri concepts). The best experimental results involving just a pair of languages demonstrated the usefulness of such techniques for interlinking RDF resources cross-lingually.
An Improved Approach to Sentence Ordering For Multi-document Summarization

While sentence ordering for single-document summarization can be determined from the ordering of sentences in the input article, this is not the case for multi-document summarization where summary sentences may be drawn from different input articles. In this paper, we propose the logicalcloseness criterion, which can be used to measure the similarity between two sentences. Based on the logicalcloseness, we propose an improved agglomerative algorithm to arrange the order of sentences. Evaluation of our augmented algorithm shows an improvement of the ordering over other baseline strategies.
Sustainable Market Design for Short-trip Rideshares : Simulation Based on Bipartite Matching

In this paper, we focused on a short-trip rideshare system supported by other-regarding preferences of drivers and passengers in a village community, with non-monetary rewards included. The study objective was to develop a methodology for simulating various mechanism designs of the short-trip rideshare system. We studied, through numerical simulation, ways to improve system sustainability by giving informational guidance. As a result, we showed that by messages that can shape expectations of driver candidates about the success of ridesharing, a higher number of rideshare pairs can be sustained. From our numerical example, we concluded that the informational guidance in which a system operator conveys the messages roughly three times of ten, which induce each of driver candidates to take action toward delayed matching in place of failure, is reasonable for promoting system sustainability from the viewpoint of both the number of rideshare pairs and the welfare level of all participants.
Computing with words model for emotion recognition by facial expression analysis using interval type-2 fuzzy sets

The paper provides a novel approach to emotion recognition of subjects from the user-specified word description of their facial features. The problem is solved in two phases. In the first phase, an interval type-2 fuzzy membership space for each facial feature in different linguistic grades for different emotions is created. In the second phase, a set of fuzzy emotion-classifier rules is instantiated with fuzzy word description about facial features to infer the winning emotion class. The most attractive part of this research is to autonomously transform user specified word descriptions into membership functions and construction of footprint of uncertainty for each facial feature in different linguistic grades. The proposed technique for emotion classification is very robust as it is sensitive to changes in word description only rather than the absolute measurement of features. Besides it offers a good classification accuracy of 87.8% and thus comparable with existing techniques.
Adaptive Spammer Detection with Sparse Group Modeling

Social spammers disseminate unsolicited information on social media sites that negatively impacts social networking systems. To detect social spammers, traditional methods leverage social network structures to identify the behavioral patterns hidden in their social interactions. They focus on accounts that are affiliated with groups comprising known spammers. However, since different parties are emerging to generate various spammers, they may form different kinds of groups, and some spammers may even detach from the flock. Therefore, it is challenging for existing methods to find the optimal group structure that captures different spammers simultaneously. Employing different approaches for specific spammers is time-consuming, and it also lacks the adaptivity of dealing with emerging spammers. In this work, we aim to propose a group modeling framework that adaptively characterizes social interactions of spammers. In particular, we introduce to integrate content information into the group modeling process. The proposed framework exploits additional content information in selecting groups and individuals that are likely to be involved in spamming activities. In order to alleviate the intensive computational cost, we transform the problem as a sparse learning task that can be solved efficiently. Experimental results on real-world datasets show that the proposed method outperforms the state-of-the-art approaches.
Erratum: Power Divider with Arbitrary Power Ratio and Arbitrary Ripple Level Using Filter Synthesis Techniques

Originally published Microwave Opt Technol Lett 55:1819–1820, 2013; © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2524, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27945 (Original article DOI 10.1002/mop.27722)
Preliminary study on switching characteristics of silver tin oxide type contacts for capacitive load

Electrical lifetime and relative dynamic welding failure mechanisms of electromechanical relay for capacitive load are hot topics in the area of switching devices and electrical contact materials. In this work, the silver tin oxide contact material has been tested with a capacitive load by using our designed novel model switch. The typical waveforms of contact current and contact voltage at making and breaking are presented. Further, the variations in contact resistance and contact force as a function of operation cycles are plotted and analyzed explicitly. Particularly, an intermittent long-duration arcing phenomena during breaking is observed and explained with the change of arcing duration and obtained SEM image. Finally, the associated physical degradation mechanism of contact material is proposed.
Knockdown of both FoxO1 and C/EBPβ promotes adipogenesis in porcine preadipocytes through feedback regulation

FoxO1 and C/EBPβ are important transcription factors during adipogenic differentiation; however, the potential mechanisms of their inter‐regulation in adipogenesis remain unknown. We found that FoxO1 and C/EBPβ are abundant in adipose tissues of 3‐ and 180‐day pigs at the mRNA and protein levels. During porcine preadipocyte differentiation, C/EBPβ expression increases to the peak at Day 2 and then decreases. In contrast, FoxO1 is lowest on Day 2 and gradually increases. Knockdown of FoxO1 or C/EBPβ with lentivirus‐mediated shRNA enhances or inhibits lipid accumulation and adipogenic maker (C/EBPα and aP2) expression, respectively. FoxO1 depletion causes a mild decrease of C/EBPβ protein level, and C/EBPβ interference also inhibits the expression of FoxO1 protein. Knockdown of both FoxO1 and C/EBPβ promotes lipid accumulation at Day 8, and increases the adipogenic markers during differentiation in comparison with the controls and the FoxO1 knockdown alone. Co‐immunoprecipitation experiments indicate that FoxO1 binds to C/EBPβ in adipose tissues and in vitro. In conclusion, the results suggest that FoxO1 and C/EBPβ regulate preadipocyte adipogenesis possibly through C/EBPβ → FoxO1 → C/EBPβ feedback regulatory loop and FoxO1‐C/EBPβ protein complex.
Review on Blood Vessel Detection in Retinal Image

Assessment of retinal vessel provides information about the retinal abnormalities. This analysis helps to identify the various retinal diseases. Manual detection of blood vessel is the most tedious job and also it does not provide proper information. Automatic detection of blood vessel is easy, accurate and time saving operation. The assessment of blood vessel is done by using retinal image. To identify the disease and any change in vessel, segmentation of retinal image is necessary. Lots of methods are used for image segmentation. For accurate result several techniques are developed by different researchers. This paper provides an analysis of the existing automated blood vessel detection technique.
atonal is a proneural gene for a subset of olfactory sense organs in Drosophila

Background: The antenna of the adult fruit fly, Drosophila melanogaster, is covered with three morphologically distinct types of olfactory sense organs. In addition, mechano‐ and hygro‐sensitive receptors are also present on its surface. While much has been learnt about the development of peripheral nervous system in Drosophila, the mechanisms underlying the development of olfactory sensilla are just beginning to be unraveled. The antennal sense organs have several properties that make them distinct from other sense organs. While each sensillum type is arranged in a well‐defined region of the antenna, the position of an individual sensillum is not fixed. The development of these sense organs appears to combine an initial step of cell recruitment, as in photoreceptors, followed by cell lineage mechanisms, as in the development of other external sense organs. The earliest step in development, the selection of a sensory organ precursor, involves the interaction of proneural and neurogenic genes. The proneural gene for the antennal sense organs has been elusive so far.
Boron halide chelate compounds and their activity towards the demethylation of trimethylphosphate

Salen(t-Bu)H2 (N,N-ethylenebis(3,5-di-tert-butyl(2-hydroxy)benzylidenimine) and its derivatives were used to prepare boron compounds having the formula L(BCl2)2 (L = salen(t-Bu) (1), salpen(t-Bu) (2), salben(t-Bu) (3), salpten(t-Bu) (4), salhen(t-Bu) (5)). These are formed from the reaction of the corresponding L(B(OMe)2)2 with BCl3. In addition to being a new type of boron compound, they are also potential two-point Lewis acids. Indeed, they dem- onstrate Lewis acidic behavior in the dealkylation of trimethylphosphate. All of the compounds were characterized by mp, elemental analysis, 1 H and 11 B NMR, IR, MS, and in the case of 2 by X-ray crystallography.
Miniaturized low cost wireless data logger for vibration recording of physiological activities

This paper presents the development and testing of new Wireless sensor telemetry system designed specifically to be mounted on different parts of the body and record useful motion signals. In this work, a miniaturized USB packaged Wireless data-logger was constructed by a low-power System-on-chip device (CC1111) utilizing 433 MHz ISM transceiver to record body accelerations from multiple sites. The wireless setups reduce the inconvenience for free-moving due to the line connection between sensors and the central data processing recorder. The proposed system is measuring acceleration of range from ±2g to ±16g. To enhance the desired performance, the system is provided with Antenna fault and free-fall detection features. The recorded vibration signals were demonstrated in our experiments, while the subjects performed a series physical moving activities, free-moving, simulated falls and postural changes. In this system, a secure digital MicroSD flash was used to store measured acceleration providing extra data storage.
Boolean queries and term dependencies in probabilistic retrieval models

A method of integrating Boolean queries with probabilistic retrieval models is proposed. Boolean queries are interpreted as specifying term dependencies that can be used to correct the document scores obtained with a basic probabilistic model. Alternative methods of obtaining dependency information, such as user-specified phrases, can also be used in this approach. The experimental results indicate that significant performance benefits can be obtained, particularly when dependencies are derived from term phrases identified in natural language queries.
Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and repeated childbearing. A randomized controlled trial.

CONTEXT Interest in home-visitation services as a way of improving maternal and child outcomes has grown out of the favorable results of a trial in semirural New York. The findings have not been replicated in other populations. OBJECTIVE To test the effect of prenatal and infancy home visits by nurses on pregnancy-induced hypertension, preterm delivery, and low birth weight; on children's injuries, immunizations, mental development, and behavioral problems; and on maternal life course. DESIGN Randomized controlled trial. SETTING Public system of obstetric care in Memphis, Tenn. PARTICIPANTS A total of 1139 primarily African-American women at less than 29 weeks' gestation, with no previous live births, and with at least 2 sociodemographic risk characteristics (unmarried, <12 years of education, unemployed). INTERVENTION Nurses made an average of 7 (range, 0-18) home visits during pregnancy and 26 (range, 0-71) visits from birth to the children's second birthdays. MAIN OUTCOME MEASURES Pregnancy-induced hypertension, preterm delivery, low birth weight, children's injuries, ingestions, and immunizations abstracted from medical records; mothers' reports of children's behavioral problems; tests of children's mental development; mothers' reports of subsequent pregnancy, educational achievement, and labor-force participation; and use of welfare derived from state records. MAIN RESULTS In contrast to counterparts assigned to the comparison condition, fewer women visited by nurses during pregnancy had pregnancy-induced hypertension (13% vs 20%; P=.009). During the first 2 years after delivery, women visited by nurses during pregnancy and the first 2 years of the child's life had fewer health care encounters for children in which injuries or ingestions were detected (0.43 vs 0.55; P=.05); days that children were hospitalized with injuries or ingestions (0.03 vs 0.16; P<.001); and second pregnancies (36% vs 47%; P=.006). There were no program effects on preterm delivery or low birth weight; children's immunization rates, mental development, or behavioral problems; or mothers' education and employment. CONCLUSION This program of home visitation by nurses can reduce pregnancy-induced hypertension, childhood injuries, and subsequent pregnancies among low-income women with no previous live births.
Multi-objective optimization techniques and applications in electric power systems

Efficient operation and planning of power systems is important for a reliable and sustainable electricity supply. Therefore, optimization techniques have been applied to several optimization problems in power systems in order to achieve technical and economic efficiency. This paper presents an overview of existing optimization techniques and applications in power systems, with a special focus on multi-objective optimization in power system planning. Power system planning is by its nature a very complex multi-objective optimization problem involving perspectives of different stakeholders. Besides, a single stakeholder can also have various objectives that need to be optimized at the same time. This paper provides a review of the state-of-the-art in multi-objective evolutionary algorithms applied to power systems planning problems.
GREAT LAKES FISHERY COMMISSION 2013 Project Completion Report 1 Winter Warming Effects on Yellow Perch Reproduction and Recruitment by :

Climate change is expected to affect fish populations worldwide through a number of mechanisms. To help understand consistent, failed Lake Erie yellow perch (Perca flavescens) year-classes following warm winters during 1975–2010, we used a combined laboratory-experimental and population-modeling approach. We hypothesized that climate change would negatively affect yellow perch by 1) increasing bottom hypoxia (O2 < 2 mg/L) during summer, which can reduce energy reserves (fish condition) prior to winter, when ovaries develop for this species, and 2) increasing winter water temperature, which could increase basal metabolic rates during winter (i.e., reduce energy available for ovary development) and disrupt thermal requirements necessary for proper ovary development. Our laboratory experiment quantified the independent and interactive effects of winter duration (number of days < 5°C: levels = 50, 80, and 110 d) and energetic condition entering winter (high, low) on reproductive development, fecundity, spawning, egg hatching and quality, and larval quality of both domestic and wild adults. Results indicate that, relative to eggs produced by Lake Erie females in the short-winter treatment, those in in the long-winter treatment produced larger, higher quality eggs that contained more calories, total lipids, neutral lipids, and myristic acid (i.e., a saturated fatty acid) per egg. These higher quality eggs also experienced greater hatching success and produced larger larvae than eggs from Lake Erie females exposed to a short winter. While long winters positively affected egg and larval quality, we found no effect of female body-condition on reproductive output, quality, or hatching success in our experiment. Using relationships among winter duration, female size, total fecundity, egg mass, and hatching success that were derived from our experiment, as well as historical adult yellow perch age-structure and winter temperature data, we developed a statistical population model to determine if winter temperature could explain historical (1975-2010) variation in Lake Erie yellow perch year-class strength, through its effects on total larval production. Finding that this annual index of total larval production was able to explain a significant amount of variation in observed year-class strength, we then used our model to forecast future year-class strength given predicted mid-century (2046–2065) winter temperatures under three commonly used scenarios (high, 1B; moderate, A2; and low, B1) of projected greenhouse gas emissions. Analysis of probability distributions generated for each future scenario suggests that continued winter warming would lead to reduced egg hatching success, with the largest decline in hatching success predicted under the highest emission scenario. Taken together, our experiment and modeling indicate a novel mechanism by which climate change can affect reproduction and recruitment of yellow perch in Lake Erie and potentially of other cooland cold-water fishes that develop ovaries during winter.