Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Field Evaluation of a Synthetic Mosquito Lure That Is More Attractive than Humans

Background Disease transmitting mosquitoes locate humans and other blood hosts by identifying their characteristic odor profiles. Using their olfactory organs, the mosquitoes detect compounds present in human breath, sweat and skins, and use these as cues to locate and obtain blood from the humans. These odor compounds can be synthesized in vitro, then formulated to mimic humans. While some synthetic mosquito lures already exist, evidence supporting their utility is limited to laboratory settings, where long-range stimuli cannot be investigated. Methodology and Principal Findings Here we report the development and field evaluation of an odor blend consisting of known mosquito attractants namely carbon dioxide, ammonia and carboxylic acids, which was optimized at distances comparable with attractive ranges of humans to mosquitoes. Binary choice assays were conducted inside a large-cage semi-field enclosure using attractant-baited traps placed 20 m apart. This enabled high-throughput optimization of concentrations at which the individual candidate attractants needed to be added so as to obtain a blend maximally attractive to laboratory-reared An. gambiae. To determine whether wild mosquitoes would also be attracted to this synthetic odor blend and to compare it with whole humans under epidemiologically relevant conditions, field experiments were conducted inside experimental huts, where the blend was compared with 10 different adult male volunteers (20-34 years old). The blend attracted 3 to 5 times more mosquitoes than humans when the two baits were in different experimental huts (10–100 metres apart), but was equally or less attractive than humans when compared side by side within same huts. Conclusion and Significance This highly attractive substitute for human baits might enable development of technologies for trapping mosquitoes in numbers sufficient to prevent rather than merely monitor transmission of mosquito-borne diseases.
Tracking the average of time-varying nonsmooth signals for double-integrator agents with a fixed topology

In this paper, the average tracking problem for coupled multiagent systems with double-integrator dynamics is considered. The accelerations of the reference signals, which could be discontinuous, are assumed to be upper bounded. A sliding-mode surface is designed such that the trajectory on the surface will solve the average tracking problem. For this purpose, a discontinuous control algorithm is proposed to guarantee that the system trajectory reaches the surface in finite time. It is shown that if the communication graph is connected, then by properly choosing the control gain the average tracking problem is solved.
Long-term Peripheral Neuropathy in Breast Cancer Patients Treated With Adjuvant Chemotherapy: NRG Oncology/NSABP B-30

Background The long-term effects of chemotherapy are sparsely reported. Peripheral neuropathy (PN) is one of the most frequent toxicities associated with taxane use for the treatment of early-stage breast cancer. We investigated the impact of the three different docetaxel-based regimens and patient characteristics on long-term, patient-reported outcomes of PN and the impact of PN on long-term quality of life (QOL). Methods The National Surgical Adjuvant Breast and Bowel Project Protocol B-30 was a randomized trial comparing sequential doxorubicin (A) and cyclophosphamide (C) followed by docetaxel (T) (AC→T), concurrent ACT, or AT in women with node-positive, early-stage breast cancer. The AC→T group had a higher cumulative dose of T. PN was one of the symptoms assessed in a QOL substudy. Statistical methods included simple and mixed ordinal logistic regression and general linear models. All statistical tests were two-sided. Results Of 1512 patients, 41.9% reported PN two years after treatment initiation. Treatment with AT and ACT was associated with less severe long-term PN compared with AC→T (odds ratio [OR] = 0.45, 95% confidence interval [CI] = 0.35 to 0.58; OR = 0.59, 95% CI = 0.46 to 0.75). Preexisting PN, older age, obesity, mastectomy, and greater number of positive nodes were also associated with higher risk of long-term PN. Patients who reported worse PN symptoms at 24 months had statistically significantly worse QOL (Ptrend < .001). Conclusions The administration of docetaxel is associated with long-term PN. The lower rate of long-term PN in AT and ACT patients might be an important consideration in supporting choosing these therapies for individuals with preexisting neuropathic symptoms or other risk factors for neuropathy.
Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma

Objectives The aim of this study was to investigate whether radiomic analysis with random survival forests (RSFs) can predict overall survival from T1-weighted contrast-enhanced baseline magnetic resonance imaging (MRI) scans in a cohort of glioblastoma multiforme (GBM) patients with uniform treatment. Materials and Methods This retrospective study was approved by the institutional review board and informed consent was waived. The MRI scans from 66 patients with newly diagnosed GBM from a previous prospective study were analyzed. Tumors were segmented manually on contrast-enhanced 3-dimensional T1-weighted images. Using these segmentations, P = 208 quantitative image features characterizing tumor shape, signal intensity, and texture were calculated in an automated fashion. On this data set, an RSF was trained using 10-fold cross validation to establish a link between image features and overall survival, and the individual risk for each patient was predicted. The mean concordance index was assessed as a measure of prediction accuracy. Association of individual risk with overall survival was assessed using Kaplan-Meier analysis and a univariate proportional hazards model. Results Mean overall survival was 14 months (range, 0.8–85 months). Mean concordance index of the 10-fold cross-validated RSF was 0.67. Kaplan-Meier analysis clearly distinguished 2 patient groups with high and low predicted individual risk (P = 5.5 × 10−5). Low predicted individual mortality was found to be a favorable prognostic factor for overall survival in a univariate Cox proportional hazards model (hazards ratio, 1.038; 95% confidence interval, 1.015–1.062; P = 0.0059). Conclusions This study demonstrates that baseline MRI in GBM patients contains prognostic information, which can be accessed by radiomic analysis using RSFs.
Predicting Antimicrobial Drug Consumption using Web Search Data

Consumption of antimicrobial drugs, such as antibiotics, is linked with antimicrobial resistance. Surveillance of antimicrobial drug consumption is therefore an important element in dealing with antimicrobial resistance. Many countries lack sufficient surveillance systems. Usage of web mined data therefore has the potential to improve current surveillance methods. To this end, we study how well antimicrobial drug consumption can be predicted based on web search queries, compared to historical purchase data of antimicrobial drugs. We present two prediction models (linear Elastic Net, and non-linear Gaussian Processes), which we train and evaluate on almost 6 years of weekly antimicrobial drug consumption data from Denmark and web search data from Google Health Trends. We present a novel method of selecting web search queries by considering diseases and drugs linked to antimicrobials, as well as professional and layman descriptions of antimicrobial drugs, all of which we mine from the open web. We find that predictions based on web search data are marginally more erroneous but overall on a par with predictions based on purchases of antimicrobial drugs. This marginal difference corresponds to ∠1% point mean absolute error in weekly usage. Best predictions are reported when combining both web search and purchase data. This study contributes a novel alternative solution to the real-life problem of predicting (and hence monitoring) antimicrobial drug consumption, which is particularly valuable in countries/states lacking centralised and timely surveillance systems.
Reconnection-driven Magnetohydrodynamic Turbulence in a Simulated Coronal-hole Jet

Extreme-ultraviolet and X-ray jets occur frequently in magnetically open coronal holes on the Sun, especially at high solar latitudes. Some of these jets are observed by white-light coronagraphs as they propagate through the outer corona toward the inner heliosphere, and it has been proposed that they give rise to microstreams and torsional Alfvén waves detected in situ in the solar wind. To predict and understand the signatures of coronal-hole jets, we have performed a detailed statistical analysis of such a jet simulated by an adaptively refined magnetohydrodynamics model. The results confirm the generation and persistence of three-dimensional, reconnection-driven magnetic turbulence in the simulation. We calculate the spatial correlations of magnetic fluctuations within the jet and find that they agree best with the Müller–Biskamp scaling model including intermittent current sheets of various sizes coupled via hydrodynamic turbulent cascade. The anisotropy of the magnetic fluctuations and the spatial orientation of the current sheets are consistent with an ensemble of nonlinear Alfvén waves. These properties also reflect the overall collimated jet structure imposed by the geometry of the reconnecting magnetic field. A comparison with Ulysses observations shows that turbulence in the jet wake is in quantitative agreement with that in the fast solar wind.
Deep learning with non-medical training used for chest pathology identification

In this work, we examine the strength of deep learning approaches for pathology detection in chest radiograph data. Convolutional neural networks (CNN) deep architecture classification approaches have gained popularity due to their ability to learn mid and high level image representations. We explore the ability of a CNN to identify different types of pathologies in chest x-ray images. Moreover, since very large training sets are generally not available in the medical domain, we explore the feasibility of using a deep learning approach based on non-medical learning. We tested our algorithm on a dataset of 93 images. We use a CNN that was trained with ImageNet, a well-known large scale nonmedical image database. The best performance was achieved using a combination of features extracted from the CNN and a set of low-level features. We obtained an area under curve (AUC) of 0.93 for Right Pleural Effusion detection, 0.89 for Enlarged heart detection and 0.79 for classification between healthy and abnormal chest x-ray, where all pathologies are combined into one large class. This is a first-of-its-kind experiment that shows that deep learning with large scale non-medical image databases may be sufficient for general medical image recognition tasks.
Fibroblast Growth Factor 23 Associates with Death in Critically Ill Patients.

BACKGROUND AND OBJECTIVES Dysregulated mineral metabolism is a common and potentially maladaptive feature of critical illness, especially in patients with AKI, but its association with death has not been comprehensively investigated. We sought to determine whether elevated plasma levels of the osteocyte-derived, vitamin D-regulating hormone, fibroblast growth factor 23 (FGF23), are prospectively associated with death in critically ill patients with AKI requiring RRT, and in a general cohort of critically ill patients with and without AKI. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We measured plasma FGF23 and other mineral metabolite levels in two cohorts of critically ill patients (n=1527). We included 817 patients with AKI requiring RRT who enrolled in the ARF Trial Network (ATN) study, and 710 patients with and without AKI who enrolled in the Validating Acute Lung Injury biomarkers for Diagnosis (VALID) study. We hypothesized that higher FGF23 levels at enrollment are independently associated with higher 60-day mortality. RESULTS In the ATN study, patients in the highest compared with lowest quartiles of C-terminal (cFGF23) and intact FGF23 (iFGF23) had 3.84 (95% confidence interval, 2.31 to 6.41) and 2.08 (95% confidence interval, 1.03 to 4.21) fold higher odds of death, respectively, after adjustment for demographics, comorbidities, and severity of illness. In contrast, plasma/serum levels of parathyroid hormone, vitamin D metabolites, calcium, and phosphate were not associated with 60-day mortality. In the VALID study, patients in the highest compared with lowest quartiles of cFGF23 and iFGF23 had 3.52 (95% confidence interval, 1.96 to 6.33) and 1.93 (95% confidence interval, 1.12 to 3.33) fold higher adjusted odds of death. CONCLUSIONS Higher FGF23 levels are independently associated with greater mortality in critically ill patients.
Using the power balance model to simulate cross-country skiing on varying terrain

The current study adapts the power balance model to simulate cross-country skiing on varying terrain. We assumed that the skier’s locomotive power at a self-chosen pace is a function of speed, which is impacted by friction, incline, air drag, and mass. An elite male skier’s position along the track during ski skating was simulated and compared with his experimental data. As input values in the model, air drag and friction were estimated from the literature based on the skier’s mass, snow conditions, and speed. We regard the fit as good, since the difference in racing time between simulations and measurements was 2 seconds of the 815 seconds racing time, with acceptable fit both in uphill and downhill terrain. Using this model, we estimated the influence of changes in various factors such as air drag, friction, and body mass on performance. In conclusion, the power balance model with locomotive power as a function of speed was found to be a valid tool for analyzing performance in cross-country skiing.
Kidney-on-a-Chip: A New Technology for Predicting Drug Efficacy, Interactions, and Drug-induced Nephrotoxicity.

BACKGROUND Kidney dysfunction resulting from various drugs is an important issue during the drug development process. Traditional in vivo animal experiments are limited with respect to evaluating drug efficacy and nephrotoxicity due to discrepancies in drug pharmacokinetics and pharmacodynamics between humans and animals, and static cell culture experiments cannot fully reflect the actual microphysiological environment in humans. METHOD In this review article, authors collected manually relevant bibliographic databases including journal articles and textbooks related to microfluidics, kidney-on-a-chip, and drug screening and interaction. In this review, we discuss recent developments in microfluidic culturing technique and describe current and future kidney-on-a-chip applications. RESULTS The pharmacodynamic and pathophysiological responses of cells are more realistic in microfluidic or 3D culture systems than in conventional 2D culture systems. Recently, several types of kidney-on-a-chip have been developed that reflect the microenvironment of the kidney tubule and have been shown to better reflect actual in-vivo results of drug nephrotoxicity. Using kidney-on-a-chip, investigators can measure various drug-induced biological responses. In the future, it is expected that a multi-organ chip will be utilized to examine the interaction between kidney and other organs, and kidney-on-a-chip can be used in disease modeling and the development of new renal replacement therapy. CONCLUSIONS Using kidney-on-a-chip, researchers can create experimental environments resembling the physiological environments in human organs and obtain experimental results that better reflect human physiology. Kidney-ona- chip can be used to overcome the drawbacks of traditional animal models and to more effectively identify drug effects, interactions, and drug-induced nephrotoxicity.
Regulation of PTEN degradation and NEDD4–1 E3 ligase activity by Numb

ABSTRACT The critical tumor suppressor PTEN is regulated by numerous post-translational modifications including phosphorylation, acetylation and ubiquitination. Ubiquitination of PTEN was reported to control both PTEN stability and nuclear localization. Notably, the HECT E3-ligase NEDD4–1 was identified as the ubiquitin ligase for PTEN, mediating its degradation and down-stream events. However, the mechanisms how NEDD4–1 is regulated by up-stream signaling pathways or interaction with other proteins in promoting PTEN degradation remain largely unclear. In the present study, we identified that the adaptor protein Numb, which is demonstrated to be a novel binding partner of NEDD4–1, plays important roles in controlling PTEN ubiquitination through regulating NEDD4–1 activity and the association between PTEN and NEDD4–1. Furthermore, we provided data to show that Numb regulates cell proliferation and glucose metabolism in a PTEN-dependent manner. Overall, our study revealed a novel regulation of the well-documented NEDD4–1/PTEN pathway and its oncogenic behavior.
Comparative Degradation of a Thiazole Pollutant by an Advanced Oxidation Process and an Enzymatic Approach

Organic pollutants, especially those found in water bodies, pose a direct threat to various aquatic organisms as well as humans. A variety of different remediation approaches, including chemical and biological methods, have been developed for the degradation of various organic pollutants. However, comparative mechanistic studies of pollutant degradation by these different systems are almost non-existent. In this study, the degradation of a model thiazole pollutant, thioflavin T (ThT), was carried out in the presence of either an advanced oxidation process (ultraviolet (UV) + H2O2) or a chloroperoxidase enzyme system (CPO + H2O2). The degradation was followed both spectrophotometrically and using liquid chromatography-mass spectroscopy (LC-MS), and the products formed were identified using tandem liquid chromatography-mass spectrometry-mass spectrometry (LC-MS-MS). The results show that the two remediation approaches produced different sets of intermediates, with only one common species (a demethylated form of ThT). This suggests that different degradation schemes were operating in the two systems. Interestingly, one of the major intermediates produced by the CPO + H2O2 system was a chlorinated form of thioflavin. Phytotoxicity studies showed that the CPO + H2O2-treated ThT solution was significantly (p < 0.05) less toxic than the UV + H2O2-treated ThT solution. This is the first time that a comparative mechanistic study showing in detail the intermediates generated in chemical and biological remediation methods has been presented. Furthermore, the results show that different remediation systems have very different degradation schemes and result in products having different toxicities.
Design and optimization of a high-resolution PET detector module for small-animal PET based on a 12 × 12 silicon photomultiplier array

A high resolution PET detector module was designed and optimized based on a custom 12 × 12 Silicon photomultiplier (SiPM) array and commercially available readout electronics (SensL Ltd., Ireland). The total area of this SiPM array is 50.2 mm × 50.2 mm, and consists of 3 × 3 sections each containing 4 × 4 SiPM elements. Each SiPM, made using 35 um microcell technology, has a sensitive area of 3.0 mm × 3.0 mm in a 4.0 mm × 4.0 mm package and is fabricated into an array with 4.2 mm pitch. The performance of this detector was evaluated using 16 × 16 arrays of 0.975 mm × 0.975 mm × 12 mm polished LYSO crystals. Such small crystals make one-to-one coupling between the SiPM and LYSO crystal impractical. In this work, therefore, the detector was evaluated using light sharing approaches. Flood histogram quality, signal amplitude, and energy resolution were compared at different bias voltages (28.0–32.5 V in 0.5 V intervals) using five light guides with different thickness (from 0.8 mm to 2.0 mm) at a fixed temperature of 5 °C by coupling the LYSO array to a single SiPM section. The best flood histogram was obtained at a bias voltage of 29.5 V using the 1.0 mm thick light guide. Under these conditions, all the LYSO crystals can be clearly separated and the average energy resolution was 18.6 ± 1.9%. The timing resolution was 6.0 ± 0.1 ns after leading edge time walk correction, obtained by using two identical detectors consisting of two 12 × 12 SiPM arrays and two 16 × 16 LYSO arrays. The LYSO array was moved such that it was coupled to the center of four SiPM sections and all crystals could still be clearly resolved. These results show that a high-resolution small-animal PET scanner could be developed based on these large-area SiPM arrays and commercially available electronics.
Psychometric Properties of the Physical Educators' Self-Efficacy Toward Including Students With Disabilities-Autism Among Chinese Preservice Physical Education Teachers.

Teachers' self-efficacy is a critical predictor for successful inclusive physical education. However, little is known about preservice physical educators' self-efficacy toward teaching students with autism spectrum disorders in China. A sound instrument is necessary to measure their self-efficacy level. This validation study examined the psychometric properties of the Chinese version of the Physical Educators' Self-Efficacy Toward Including Students with Disabilities-Autism. A multisection survey form was administered to preservice physical educators in Mainland China (n = 205) and Hong Kong (n = 227). The results of confirmatory factor analysis confirmed the one-factor model of the scale in the total sample and each of the two samples. Invariance tests across the two samples supported configural and metric invariance but not scalar invariance. The scale scores showed good internal reliability and were correlated with theoretically relevant constructs (i.e., burnout and life satisfaction) in the total sample and subsamples. These findings generally support the utility of the scale for use among Chinese preservice physical educators.
Cadmium Exposure Impairs Cognition and Olfactory Memory in Male C57BL/6 Mice

Cadmium (Cd) is a heavy metal of high interest to the superfund initiative. Recent epidemiology studies have suggested a possible association between Cd exposure and cognitive as well as olfactory impairments in humans. However, studies in animal models are needed to establish a direct causal relationship between Cd exposure and impairments in cognition and olfaction. This study aims to investigate the toxic effect of Cd on cognition and olfactory function in mice. One group of 8-week-old C57BL/6 male mice was exposed to 3 mg/l Cd (in the form of CdCl2) through drinking water for 20 weeks for behavior tests and final blood Cd concentration analysis. The behavior tests were conducted before, during, and after Cd exposure to analyze the effects of Cd on cognition and olfactory function. Upon completion of behavior tests, blood was collected to measure final blood Cd concentration. Two additional groups of mice were similarly exposed to Cd for 5 or 13 weeks for peak blood Cd concentration measurement. The peak blood Cd concentration was 2.125-2.25 μg/l whereas the final blood Cd concentration was 0.18 μg/l. At this exposure level, Cd impaired hippocampus-dependent learning and memory in novel object location test, T-maze test, and contextual fear memory test. It also caused deficits in short-term olfactory memory and odor-cued olfactory learning and memory. Results in this study demonstrate a direct relationship between Cd exposure and cognitive as well as olfactory impairments in an animal model.