Miracle-dz/UniFAR-FTUs huggingface dataset:
An Online Measurement Approach of Generators’ Torsional Mechanical Damping Coefficients for Subsynchronous Oscillation Analysis

The series compensation capacitor and HVDC are widely used in Chinese power grids to increase the transmission capability of long distance lines, which might cause subsynchronous oscillation (SSO) between the turbine generators and power systems. The torsional mechanical damping coefficient of a turbine generator reflects the inherent damping level of the shaft and, thus, is a critical factor in SSO analysis. However, the torsional mechanical damping coefficient under practical operating conditions is difficult to obtain from the design parameters. In this paper, a novel approach is developed for online torsional mechanical damping coefficient measurements. The torsional interaction mechanism of identical parallel connected turbine generators is investigated, and then the characteristics of in-phase mode (IPM) and anti-phase mode (APM) are described. From this analysis, an active stimulating method for APM is presented, and a practical scheme for online torsional mechanical damping coefficient measurement is designed. This approach takes advantage of the APM features and decouples the generators from the grid. Moreover, the proposed approach has been implemented in the Yimin power plant in Inner Mongolia to realize online measurement of the torsional mechanical damping coefficient. Field test results are presented to demonstrate the effectiveness of the proposed approach.
1 H-NMR Spectroscopy Study of Oleic Acid and Methyl Oleate Ozonation in different reaction conditions

Reactions of ozone with oleic acid or methyl oleate were carried out in presence of hexane, carbon tetrachloride, ethanol or water. All the reaction mixtures were studied by 1 H - Nuclear Magnetic Resonance Spectroscopy ( 1 H-NMR). Differences in the composition of the reaction mixture of the samples by 1 H-NMR analysis were found. During the ozonation of oleic acid, the acyl-oxy-alquil-hydroperoxides were formed as major products in all the studied conditions. Nevertheless, during ozonation of methyl oleate, a striking dependence of reaction products with the solvent or additive used was found. In hexane, the corresponding ozonides/oligomers were obtained, whereas when ethanol is present, the ethoxy-hydroperoxides were the major products. The analysis in the presence of water only reveals the aldehyde and ozonides/oligomers signals. These results are discussed taking into account the Criegee mechanism, the characteristic of the bubbling reactor employed, and some properties of the solvents or additives used.
Antagonizes the Septation Initiation Network To Regulate Septum Formation and Cell Separation in the Fission Yeast Schizosaccharomyces pombe

Cytokinesis in the fission yeast Schizosaccharomyces pombe is regulated by a signaling pathway termed the septation initiation network (SIN). The SIN is essential for initiation of actomyosin ring constriction and septum formation. In a screen to search for mutations that can rescue the sid2-250 SIN mutant, we obtained scw1-18. Both the scw1-18 mutant and the scw1 deletion mutant (scw1 mutant), have defects in cell separation. Both the scw1-18 and scw1 mutations rescue the growth defects of not just the sid2-250 mutant but also the other temperature-sensitive SIN mutants. Other cytokinesis mutants, such as those defective for actomyosin ring formation, are not rescued by scw1 . scw1 does not seem to rescue the SIN by restoring SIN signaling defects. However, scw1 may function downstream of the SIN to promote septum formation, since scw1 can rescue the septum formation defects of the cps1-191 -1,3-glucan synthase mutant, which is required for synthesis of the primary septum.
Cognitive deficits of men and women with Alzheimer's disease

We performed two studies of cognitive abilities among men and women who met clinical criteria for Alzheimer's disease (AD). Among 46 AD patients, performance of women on a composite neuropsychological battery was more impaired than that of men when the potentially confounding effects of demographic variables were controlled; the largest group differences were due to significantly worse performance by women with AD on a naming task. Based on these initial findings, we next analyzed an independent data set of 647 demented subjects enrolled in the multicenter Consortium to Establish a Registry for Alzheimer's Disease, hypothesizing that the naming performance of women with AD would be significantly worse than that of men with this illness. Analyses controlling for demographic variables, or separately controlling for dementia severity, confirmed that women with AD performed significantly less well on the naming task and on verbal fluency. Women also performed less well on delayed recall, but there were no significant differences on other tasks. Factor analysis confirmed significant differences on a language factor, implying that men retain verbal skills better than women do during the initial stages of AD. Elderly non-demented women performed as well as or better than nondemented men on all comparisons. We conclude that there are modest differences in how men and women with AD perform on cognitive tasks and that differences may be discrete rather than global in nature.
Occupational Exposure to Cobalt: A Population Toxicokinetic Modeling Approach Validated by Field Results Challenges the Biological Exposure Index for Urinary Cobalt

This study modeled the urinary toxicokinetics of cobalt exposure based on 507 urine samples from 16 workers, followed up for 1 week, and 108 related atmospheric cobalt measurements to determine an optimal urinary cobalt sampling strategy at work and a corresponding urinary exposure threshold (UET). These data have been used to calibrate a population toxicokinetic model, taking into account both the measurement uncertainty and intra- and interindividual variability. Using the calibrated model, urinary sampling sensitivity and specificity performance in detecting exposure above the 20 μg/m3 threshold limit value – time-weighted average (TLV-TWA) has been applied to identify an optimal urine sampling time. The UET value is obtained by minimizing misclassification rates in workplace exposures below or above the TLV. Total atmospheric cobalt concentrations are in the 5–144 μg/m3 range, and total urinary cobalt concentrations are 0.5–88 μg/g creatinine. A two-compartment toxicokinetic model best described urinary elimination. Terminal elimination half-time from the central compartment is 10.0 hr (95% confidence interval [8.3–12.3]). The optimal urinary sampling time has been identified as 3 hr before the end of shift at the end of workweek. If we assume that misclassification errors are of equal cost, the UET associated with the TLV of 20 μg/m3 is 5 μg/L, which is lower than the ACGIH-recommended biological exposure index of 15 μg/L. [Supplemental materials are available for this article. Go to the publisher's online edition of the Journal of Occupational and Environmental Hygiene for the following free supplemental resource: an appendix with discussion of the toxicokinetic model, priors, model checking, cross validation, and comparison of ROC curves for various urinary sampling strategy. ]
Dynamic Optimal Training for Competitive Neural Networks

This paper introduces an unsupervised learning algorithm for optimal training of competitive neural networks. The learning rule of this algorithm is rived from the minimization of a new objective criterion using the gradient descent technique. Its learning rate and competition difficulty are dynamically adjusted throughout iterations. Numerical results that illustrate the performance of this algorithm in unsupervised pattern classification and image compression are also presented, discussed, and compared to those provided by other well-known algorithms for several examples of real test data.
PRECLINICAL STUDY: Protracted ‘anti‐addictive’ effects of adolescent phenylpropanolamine exposure in C57BL/6J mice

Exposure to the once highly prevalent over‐the‐counter (OTC) sympathomimetic phenylpropanolamine (PPA; ±‐norephedrine) during pre‐adolescence alters the developmental trajectory of catecholamine and amino acid neurotransmitter systems in the nucleus accumbens (NAC) that culminate in a ‘pro‐addictive’ phenotype in adulthood. Thus, the present study sought to extend these earlier data by examining the long‐term consequences of repeated PPA treatment during adolescence upon the behavioral and neurochemical responses to cocaine. For this, C57BL/6J mice were pre‐treated with PPA (0–40 mg/kg) during postnatal days 35–44, and the capacity of cocaine (4 × 15 mg/kg) to elicit a conditioned place‐preference, as well as behavioral and neurochemical sensitization within the NAC, were then assessed in adulthood. While adolescent PPA exposure did not influence spontaneous locomotor activity or the motor responses to either acute or repeated cocaine (4 × 15 mg/kg), PPA pre‐exposure dose‐dependently reduced the expression of a conditioned place‐preference. As observed previously for juvenile PPA treatment, adolescent PPA administration blunted the dopamine and norepinephrine response to acute cocaine, prevented the development of catecholamine sensitization but did not influence cocaine‐induced elevations in serotonin. However, unlike juvenile PPA treatment, adolescent PPA also prevented the development of glutamate sensitization within the NAC. These data provide evidence that adolescent exposure to a formerly prevalent OTC sympathomimetic produces protracted effects upon cocaine‐induced changes in NAC glutamate transmission that may reduce vulnerability to cocaine addiction in later life and further the hypothesis that early exposure to sympathomimetic drugs may be an environmental factor contributing to the etiology of addiction.
Ethnic Identity, Drinking Motives, and Alcohol Consequences Among Alaska Native and Non-Native College Students

This research involves the examination of drinking motives, alcohol consequences, and ethnic identity in a sample of Native and non-Native college student drinkers in Alaska. Although more Alaska Native students are abstinent from alcohol compared to any other ethnic group, Native students who do drink experience greater alcohol consequences and dependence symptoms. Therefore, we attempted to examine the influence of ethnic identity on alcohol consequences in a diverse sample of Native and non-Native students in Alaska. Findings showed that drinking motives, as measured by the Drinking Motives Questionnaire (social, coping, enhancement, and conformity), significantly predicted alcohol consequences after controlling for frequency of monthly binge drinking. In addition, after controlling for depression, binge drinking, and drinking motives, one aspect of ethnic identity (Affirmation, Belonging, and Commitment) was significantly negatively related to alcohol consequences, whereas another aspect of ethnic identity (Ethnic Identity Search) was not. Taken together, these findings suggest that interventions for college student alcohol misuse that target Native students should be culturally grounded and focused on enhancing the Affirmation, Belonging, and Commitment to one's ethnic heritage and should address drinking motives, especially drinking to cope, as a way to reduce alcohol related harm.
Searching for a Bacteriophage Lysin to Treat Corynebacterium bovis in Immunocompromised Mice.

Corynebacterium bovis is the causative agent of Corynebacterium-associated hyperkeratosis in immunocompromised mice. The resulting skin pathology can be profound and can be associated with severe wasting, making the animals unsuitable for research. Although the administration of antibiotics is effective in resolving clinical symptoms, antibiotics do not eradicate the offending bacterium. Furthermore, antibiotic use may be contraindicated as it can affect tumor growth and is associated with Clostridioides difficile enterotoxemia in highly immunocompromised murine strains. Lysins, which are lytic enzymes obtained from bacteriophages, are novel antimicrobial agents for treating bacterial diseases. The advantage of lysins are its target specificity, with minimal off-target complications that could affect the host or the biology of the engrafted tumor. The aim of this study was to identify lysins active against C. bovis. Chemical activation of latent prophages by using mitomycin C in 3 C. bovis isolates did not cause bacteriophage induction as determined through plaque assays and transmission electron microscopy. As an alternative approach, 8 lysins associated with other bacterial species, including those from the closely related species C. falsenii, were tested for their lytic action against C. bovis but were unsuccessful. These findings were congruentwith the previously reported genomic analysis of 21 C. bovis isolates, which failed to reveal bacteriophage sequences by usingthe PHAST and PHASTER web server tools. From these results, we suggest C. bovis is among those rare bacterial species devoid of lysogenic bacteriophages, thus making the identification of C. bovis-specific lysins more challenging. However, C. bovis may be a useful model organism for studying the effects of antiphage systems.
Continuity or Liquidation in Situations of Ambiguity: Fuzzy Binomial Model to Valuate Leveraged Firms

This paper proposes a fuzzy binomial valuation model to estimate leveraged firm value while conditioning its continuity or liquidation in cash flow generation after taxes to attend debt payments. It includes two triangular fuzzy variables. Thus, we incorporate ambiguity in the firm valuation process characterized by uncertainty in projections of both growth and financial costs. Our proposed model is presented, developed, and exemplified through a case which results complement both the DCF (under the adjusted present value) and the traditional real option binomial method. This occurs because, in one hand, DCF method assumes decisionsi¯ irreversibility and operating firmsi¯ situation. On the other hand, traditional binomial model weakens previous restrictions but does not incorporate ambiguous variables in the analysis. Hence, fuzzy logic applied to option models allows us to complement probabilistic valuation approach working on a frame of possibilities.
Long-term health consequences of exposure to burn pits in Iraq and Afghanistan.

very hot humid frigid climates, high elevations, or locations far under the disease vectors that can ravage the military forces “ visiting ” their domains. In addition, there are many of toxic chemical, biological, or radiological agents — both manmade and natural — that may be lurking in the background. type of threat is examined an committee in to a request from the Department of Veterans Affairs to examine the health consequences to military forces deployed in proximity to potentially hazardous burn in Iraq and Afghanistan.
Reverse Engineering and Symbolic Knowledge Extraction on Łukasiewicz Logics using Neural Networks

This work describes a methodology that combines logic-based systems and connectionist systems. Our approach uses finite truth-valued Łukasiewicz logic, where we take advantage of fact, presented in (Castro and Trillas, 1998), wherein every connective can be defined by a neuron in an artificial network having, by activation function, the identity truncated to zero and one. This allowed the injection of formulas into a network architecture, and also simplified symbolic rule extraction. Neural networks are trained using the LevendergMarquardt algorithm, where we restricted the knowledge dissemination in the network structure, and the generated network is simplified applying the ”Optimal Brain Surgeon” algorithm proposed by B. Hassibi, D. G. Stork and G.J. Wolf. This procedure reduces neural network plasticity without drastically damaging the learning performance, thus making the descriptive power of produced neural networks similar to the descriptive power of Łukasiewicz logic language and simplifying the translation between symbolic and connectionist structures. We used this method in the reverse engineering problem of finding the formula used on the generation of a given truth table. For real data sets the method is particularly useful for attribute selection, on binary classification problems defined using nominal attributes, where each instance has a level of uncertainty associated with it.
Enhanced Attraction of Plutella xylostella (Lepidoptera: Plutellidae) to Pheromone-Baited Traps with the Addition of Green Leaf Volatiles

ABSTRACT Diamondback moth, Plutella xylostella (L.) (Lepidoptera: Plutellidae), is one of the most serious pests of Brassicaceae crops worldwide. Electrophysiological and behavioral responses of P. xylostella to green leaf volatiles (GLVs) alone or together with its female sex pheromone were investigated in laboratory and field. GLVs 1-hexanol and (Z)-3-hexen-1-ol elicited strong electroantennographic responses from unmated male and female P. xylostella, whereas (Z)-3-hexenyl acetate only produced a relatively weak response. The behavioral responses of unmated moths to GLVs were further tested in Y-tube olfactometer experiments. (E)-2-Hexenal, (Z)-3-hexen-1-ol, and (Z)-3-hexenyl acetate induced attraction of males, reaching up to 50%, significantly higher than the response to the unbaited control arm. In field experiments conducted in 2008 and 2009, significantly more moths were captured in traps baited with synthetic sex pheromone with either (Z)-3-hexenyl acetate alone or a blend of (Z)-3-hexenyl acetate, (Z)-3-hexen-1-ol, and (E)-2-hexenal compared with sex pheromone alone and other blend mixtures. These results demonstrated that GLVs could be used to enhance the attraction of P. xylostella males to sex pheromone-baited traps.
Seepage Towards Vertical Cuts

Conformal mapping solutions for two‐dimensional steadystate seepage towards vertical excavated faces are presented. Solutions in parametric form are developed for the shape of the free surface and the height of intersection of the free surface and the seepage face. Although the current solution applies strictly to infinite flow domains, an approach to obtain nonparametric solutions for long finite flow domains without much loss of accuracy is also outlined.
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM

It is critical for automatic chat-bots to gain the ability of conversation comprehension, which is the essence to provide context-aware responses to conduct smooth dialogues with human beings. As the basis of this task, conversation modeling will notably benefit from the background knowledge, since such knowledge indeed implicates semantic hints that help to further clarify the relationships between sentences within a conversation. In this paper, a deep neural network is proposed to incorporate background knowledge for conversation modeling. Through a recall mechanism with a specially designed recall-gate, background knowledge as global memory can be motivated to cooperate with local cell memory of Long Short-Term Memory (LSTM), so as to enrich the ability of LSTM to capture the implicit semantic clues in conversations. In addition, this paper introduces the loose-structured domain knowledge as background knowledge, which can be built with slight amount of manual work and easily adopted by the recall-gate. Our model is evaluated on the context-oriented response selecting task, and experimental results on two datasets have shown that our approach is promising for modeling conversations and building key components of automatic chat systems.
Coordination control of dual-arm modular robot based on position feedback using Optotrak3020

Purpose – The purpose of this paper is to present a novel and accurate coordination control method of dual‐arm modular robot based on position feedback using 3D motion measurement system – Optotrak3020. The end‐position accuracy of dual‐arm modular robot can be improved obviously.Design/methodology/approach – By means of Optotrak3020, the actual end‐position of dual‐arm modular robot is acquired and then returned to the robotic controllers, so the corresponding position error compensation is implemented. Through a 3D simulation and experiment of dual‐arm modular robot for tracking a trajectory of plane right triangle, the feasibility and validity of this control strategy are verified.Findings – The coordination control of dual‐arm modular robot based on position feedback can be accomplished by means of Optotrak3020. The dual‐arm modular robot can accurately accomplish the task of positioning or tracking a reference trajectory.Practical implications – This real‐time position feedback control method with hi.
Chemical functionalization of inner walls of carbon nanotubes with long-chain aliphatic amines

Synthesis of carbon nanotubes (CNTs) using porous anodic alumina membrane (PA) as template and the chemical functionalization of their inner walls is presented. The CNT were prepared by catalyst-free process using the pyrolysis of liquid aerosol of toluene: ethanol (1:1 v/v). The surface modification of the inner surface walls of CNT was performed using the gas phase synthesis by aliphatic amines (1,8-diaminooctane, DO). SEM, TEM and XPS analysis confirmed the morphology of prepared CNT inside of PA pores and their successful functionalization by amino groups. The presence and growth of interesting carbon nanoparticle inside CNT was observed during amination process. We hypothesized their origin as nanodiamonds formed as a result of the heat treatment in the presence of air that support etching mechanism and defects formation which acts as a diamond growth sites.
A novel sorting animation: permuting picture pixels

Algorithm animation has a long history in CS education, and in this paper we describe a novel way to animate basic sorting routines. The idea is to scramble the pixels of a picture, and then use a sorting routine to unscramble them. The resulting animation of moving pixels is both enjoyable to watch, and provides enough clues to figure out what algorithm is doing the unscrambling. We have used this as a class activity in numerous data structures and algorithms courses to test students understanding of different sorting algorithms. In addition to describing how our animation technique works and is implemented we also discuss some of the related work in the field of algorithm visualization, and the importance of student engagement in such visualizations.
Effect of Somatic Cell Count on Bovine Milk Protein Fractions

The objective of this study was to evaluate the influence of somatic cell count (SCC) on the physicochemical properties and protein fractions of milk. Milk was collected and analyzed for somatic cell count, fat, lactose, acidity, total solids, ash, total nitrogen, soluble nitrogen at pH 4.6, and soluble nitrogen in trichloroacetic acid (TCA) 12%. Milk was divided into four groups according to the value of SCC, each constituting a treatment, as follows: Treatment 1 ( 1 million cells/ml). The electrophoretic profile of milk was also evaluated using microfluidic electrophoresis for separation and quantification of milk proteins. An increase in the concentration of SCC resulted in a significant increase in the amount of fat, soluble nitrogen and soluble protein (casein) fractions, and a reduction of α-casein, β-casein, and κ-casein. There was a higher proteolytic activity associated with high SCC. Changes in protein fractions of milk caused by high SCC had strong implications regarding the potential of milk as raw material for manufacturing products as the industrial yield of milk is mainly associated with the casein fraction.