A study in healthy male volunteers was completed to evaluate the safety, tolerability, and pharmacokinetics of a single oral dose of the antiparasitic moxidectin (MOX). This drug is registered worldwide as a veterinary antiparasitic agent for use in companion and farm animals. This is the first study of MOX in humans. All subjects were between the ages of 18 and 45 years, with normal cardiac, hematologic, hepatic, and renal function. Doses of MOX studied were 3, 9, 18, and 36 mg in cohorts of 6 subjects each (5:1, MOX:placebo). At the 9-mg and 36-mg doses, two separate cohorts were completed, one in the fasted state and one after the consumption of a high-fat breakfast. For all other cohorts, administration was in the fasted state. Safety and tolerability were assessed by physical examinations, ongoing evaluation of adverse events (AEs), and measurement of laboratory values. Pharmacokinetic (PK) samples were collected just prior to dosing and at various time points until 80 days postdose. Safety assessments from all dose groups studied suggested that MOX was generally safe and well tolerated, with a slightly higher incidence of transient, mild, and moderate central nervous system AEs as the dose increased as compared to placebo. The PKs of MOX were dose proportional within the dose range studied, and the elimination half-life (t1/2 elim) was long (mean: 20.2-35.1 days). At the 9-mg and 36-mg doses, a high-fat breakfast was shown to delay and increase the overall absorption but did not increase maximal concentrations when compared to administration in the fasted state. In summary, the results from this study indicate that MOX is safe and well tolerated in humans between the doses of 3 mg and 36 mg.

Abstract.We are what we eat. Our everyday food choices affect our long-term and short-term health. In the traditional health care, professionals assess and weigh each individual's dietary intake using intensive labor at high cost. In this paper, we design and implement a diet-aware dining table that can track what and how much we eat. To enable automated food tracking, the dining table is augmented with two layers of weighing and RFID sensor surfaces. We devise a weight-RFID matching algorithm to detect and distinguish how people eat. To validate our diet-aware dining table, we have performed experiments, including live dining scenarios (afternoon tea and Chinese-style dinner), multiple dining participants, and concurrent activities chosen randomly. Our experimental results have shown encouraging recognition accuracy, around 80%. We believe monitoring the dietary behaviors of individuals potentially contribute to dietaware healthcare.

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The Ages & Stages Questionnaire: Social-Emotional (ASQ:SE; Squires, Bricker, & Twombly, 2002a), developed in the United States, was translated and adapted for use in China. Lack of valid and reliable instruments for identifying social and emotional delays in young children is a worldwide issue. Professionals in China have recently focused efforts on developing methods for early identification of social, emotional, and behavioral issues in the birth-to-5 population. Following the guidelines of the International Test Commission, the ASQ:SE was translated into Simplified Chinese (ASQ:SE-C) to collect a normative sample of 2,528 children across China. Data were analyzed to evaluate the psychometric properties of the ASQ:SE-C, using both classical test theory and item response theory, including generating cutoff points appropriate for the Chinese sample. A panel of Chinese experts was surveyed to assess face validity and estimated utility of the newly adapted tool. Discussions of research findings and implications for future studies are provided.

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In this study, we present extensive attention-based networks with data augmentation methods to participate in the IN-TERSPEECH 2019 ComPareE Challenge, specifically the three Sub-challenges: Styrian Dialect Recognition, Continuous Sleepiness Regression, and Baby Sound Classification. For Styrian Dialect Sub-challenge, these dialects are classified into Northern Styrian (NorthernS), Urban Sytrian (UrbanS), and Eastern Styrian (EasternS). Our proposed model achieves an UAR 49.5% on the test set, which is 2.5% higher than the baseline. For Continuous Sleepiness Sub-challenge, it is defined as a regression task with score range from 1 (extremely alert) to 9 (very sleepy). In this work, our proposed architecture achieves a Spearman correlation 0.369 on the test set, which surpasses the baseline model by 0.026. For Baby Sound Sub-challenge, the infant sounds are classified into canonical babbling, noncanonical babbling, crying, laughing and junk/other, and our proposed augmentation framework achieves an UAR of 62.39% on the test set, which outperforms the baseline by about 3.7%. Overall, our analyses demonstrate that by fusing attention network models with conventional support vector machine benefits the test set robustness, and the recognition rates of these paralinguistic attributes generally improve when performing data augmentation.

Circular RNAs (circRNAs) are noncoding products of backsplicing of pre-mRNAs which have been established to possess potent biological functions. Dysregulated circRNA expression has been linked to diseases including different types of cancer. Cancer progression is known to result from the dysregulation of several molecular mechanisms responsible for the maintenance of cellular and tissue homeostasis. The dysregulation of these processes is defined as cancer hallmarks, and the molecular pathways implicated in them are regarded as the targets of therapeutic interference. In this review, we summarize the literature on the investigation of circRNAs implicated in cancer hallmark molecular signaling. First, we present general information on the properties of circRNAs, such as their biogenesis and degradation mechanisms, as well as their basic molecular functions. Subsequently, we summarize the roles of circRNAs in the framework of each cancer hallmark and finally discuss the potential as therapeutic targets.

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