Miracle-dz/UniFAR-FTUs huggingface dataset:
Aberrant structural–functional coupling in adult cannabis users

Cellular studies indicate that endocannabinoid type‐1 retrograde signaling plays a major role in synaptic plasticity. Disruption of these processes by delta‐9‐tetrahydrocannabinol (THC) could produce alterations either in structural and functional brain connectivity or in their association in cannabis (CB) users. Graph theoretic structural and functional networks were generated with diffusion tensor imaging and resting‐state functional imaging in 37 current CB users and 31 healthy non‐users. The primary outcome measures were coupling between structural and functional connectivity, global network characteristics, association between the coupling and network properties, and measures of rich‐club organization. Structural–functional (SC–FC) coupling was globally preserved showing a positive association in current CB users. However, the users had disrupted associations between SC–FC coupling and network topological characteristics, most perturbed for shorter connections implying region‐specific disruption by CB use. Rich‐club analysis revealed impaired SC–FC coupling in the hippocampus and caudate of users. This study provides evidence of the abnormal SC–FC association in CB users. The effect was predominant in shorter connections of the brain network, suggesting that the impact of CB use or predispositional factors may be most apparent in local interconnections. Notably, the hippocampus and caudate specifically showed aberrant structural and functional coupling. These structures have high CB1 receptor density and may also be associated with changes in learning and habit formation that occur with chronic cannabis use.
SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network

Planetary exploration missions with Mars rovers are complicated, which generally require elaborated task planning by human experts, from the path to take to the images to capture. NASA has been using this process to acquire over 22 million images from the planet Mars. In order to improve the degree of automation and thus efficiency in this process, we propose a system for planetary rovers to actively search for prominence of prespecified scientific features in captured images. Scientists can prespecify such search tasks in natural language and upload them to a rover, on which the deployed system constantly captions captured images with a deep image captioning network and compare the auto-generated captions to the prespecified search tasks by certain metrics so as to prioritize those images for transmission. As a beneficial side effect, the proposed system can also be deployed to ground-based planetary data systems as a content-based search engine.
Fine and Coarse Particulate Matter Exposures and Associations with Acute Cardiac Events among Participants in a Telemedicine Service: A Case-Crossover Study

Background: Subclinical cardiovascular changes have been associated with ambient particulate matter (PM) exposures within hours. Although the U.S. Environmental Protection Agency continues to look for additional evidence of effects associated with sub-daily PM exposure, this information is still limited because most studies of clinical events have lacked data on the onset time of symptoms to assess rapid increased risk. Objective: Our objective was to investigate associations between sub-daily exposures to PM and acute cardiac events using telemedicine data. Methods: We conducted a case-crossover study among telemedicine participants ≥50y of age who called a service center for cardiac-related symptoms and were transferred to a hospital in Tel Aviv and Haifa, Israel (2002–2013). Ambient PM2.5 and PM10−2.5 measured by monitors located in each city during the hours before the patient called with symptoms were compared with matched control periods. We investigated the sensitivity of these associations to more accurate symptom onset time and greater certainty of diagnosis. Results: We captured 12,661 calls from 7,617 subscribers experiencing ischemic (19%), arrhythmic (31%), or nonspecific (49%) cardiac events. PM concentrations were associated with small increases in the odds of cardiac events. For example, odds ratios for any cardiac event in association with a 10-μg/m3 increase in 6-h and 24-h average PM2.5 were 1.008 [95% confidence interval (CI): 0.998, 1.018] and 1.006 (95% CI: 0.995, 1.018), respectively, and for PM10−2.5 were 1.003 (95% CI: 1.001, 1.006) and 1.003 (95% CI: 1.000, 1.007), respectively. Associations were stronger when using exposures matched to the call time rather than calendar date and for events with higher certainty of the diagnosis. Conclusions: Our analysis of telemedicine data suggests that risks of cardiac events in telemedicine participants ≥50y of age may increase within hours of PM exposures. https://doi.org/10.1289/EHP2596
Immune and Inflammatory Signaling Pathways in Exercise and Obesity

Over the last decades the combination of both a sedentary lifestyle and excessive food availability has led to a significant increase in the prevalence of obesity, which is increasingly recognized as an important risk factor for type 2 diabetes. Several lines of evidence exist demonstrating that expanded visceral adipose tissue produces several pro-inflammatory mediators that activate signaling pathways that contribute to the development of insulin resistance. Exercise training is an important lifestyle factor that is widely used as a tool for preventing and improving lifestyle-related obesity and insulin resistance. In this regard, exercise training is useful to increase energy expenditure thereby counteracting a positive energy balance. Exercise training is also able to attenuate the activation of several obesity-induced pathways of inflammation and oxidative stress. Thus, a better understanding of the molecular mechanisms and immune pathways in exercise, obesity, and diabetes can be extremely useful to exploit optimized lifestyle strategies to combat the increasing incidence of metabolic diseases.
Physical, mechanical and energy characterization of wood pellets obtained from three common tropical species

Background The need for energy sources with low greenhouse gas emissions and sustainable production encourages the search for alternative biomass sources. However, the use of biomass fuels faces the problem of storage, transport and lower energy densities. Low-density values can negatively affect energy density, leading to an increase in transportation and storage costs. Use of pellets as alternative biomass source is a way to reduce the volume of biomass by densification, which improves their energy quality. They are produced by diverse biomass resources and mainly from wood materials. In all cases, it is important to evaluate the fuel characteristics, to determine their suitability on the heating system and handling properties. Methods The present study determines and compares data from proximate analysis, calorific values, physical and mechanical properties of wood pellets produced from the common tropical species Acacia wrightii, Ebenopsis ebano and Havardia pallens. Data were obtained from pellets produced from each species chips collected from an experimental plantation and analyzed through ANOVA and Kruskal–Wallis test at 0.05 significance level. Results The results of diameter, length and length/diameter ratio didn’t show statistical differences (p > 0.05) among species. Acacia wrightii showed the highest density (1.2 g/cm3). Values on weight retained and compression test showed statistical differences (p = 0.05) among species. Havardia pallens was more resistant to compression strength than A. wrightii and Ebenopsis ebano. Statistical differences (p < 0.01) were also observed for the volatile matter and calorific value. E. ebano has the lowest volatile matter (72%), highest calorific value (19.6 MJ/kg) as well as the fixed carbon (21%). Discussion The pellets of the species studied have a high energy density, which makes them suitable for both commercial and industrial heating applications.A pellet with low compression resistance tends to disintegrate easily, due to moisture adsorption. The percentages obtained for the resistance index were higher than 97.5%, showing that the pellets studied are high-quality biofuels. Proximate analysis values also indicate good combustion parameters. Pellets of Acacia wrightii and Ebenopsis ebano are the more favorable raw material sources for energy purposes because of their high density, calorific value, low ash content and they also met majority of the international quality parameters.
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring?

Responses in task-oriented dialogue systems often realize multiple propositions whose ultimate form depends on the use of sentence planning and discourse structuring operations. For example a recommendation may consist of an explicitly evaluative utterance e.g. Chanpen Thai is the best option, along with content related by the justification discourse relation, e.g. It has great food and service, that combines multiple propositions into a single phrase. While neural generation methods integrate sentence planning and surface realization in one end-to-end learning framework, previous work has not shown that neural generators can: (1) perform common sentence planning and discourse structuring operations; (2) make decisions as to whether to realize content in a single sentence or over multiple sentences; (3) generalize sentence planning and discourse relation operations beyond what was seen in training. We systematically create large training corpora that exhibit particular sentence planning operations and then test neural models to see what they learn. We compare models without explicit latent variables for sentence planning with ones that provide explicit supervision during training. We show that only the models with additional supervision can reproduce sentence planning and discourse operations and generalize to situations unseen in training.
Characterization of a Multiresistance Plasmid Carrying the optrA and cfr Resistance Genes From an Enterococcus faecium Clinical Isolate

Enterococcus faecium E35048, a bloodstream isolate from Italy, was the first strain where the oxazolidinone resistance gene optrA was detected outside China. The strain was also positive for the oxazolidinone resistance gene cfr. WGS analysis revealed that the two genes were linked (23.1 kb apart), being co-carried by a 41,816-bp plasmid that was named pE35048-oc. This plasmid also carried the macrolide resistance gene erm(B) and a backbone related to that of the well-known Enterococcus faecalis plasmid pRE25 (identity 96%, coverage 65%). The optrA gene context was original, optrA being part of a composite transposon, named Tn6628, which was integrated into the gene encoding for the ζ toxin protein (orf19 of pRE25). The cfr gene was flanked by two ISEnfa5 insertion sequences and the element was inserted into an lnu(E) gene. Both optrA and cfr contexts were excisable. pE35048-oc could not be transferred to enterococcal recipients by conjugation or transformation. A plasmid-cured derivative of E. faecium E35048 was obtained following growth at 42°C, and the complete loss of pE35048-oc was confirmed by WGS. pE35048-oc exhibited some similarity but also notable differences from pEF12-0805, a recently described enterococcal plasmid from human E. faecium also co-carrying optrA and cfr; conversely it was completely unrelated to other optrA- and cfr-carrying plasmids from Staphylococcus sciuri. The optrA-cfr linkage is a matter of concern since it could herald the possibility of a co-spread of the two genes, both involved in resistance to last resort agents such as the oxazolidinones.
Synovial Fluid Fatty Acid Profiles Differ between Osteoarthritis and Healthy Patients

Objective Free fatty acids (FAs) may influence cartilage metabolism and osteoarthritis (OA) disease progression. It is not clearly studied which FAs are present in the synovial fluid of knee joints and whether there are differences in FA content between nonsymptomatic and OA knee joints. The aim of this study was to investigate the presence of different types of FAs in synovial fluid of both OA- and nonsymptomatic control joints, and to analyze differences between both groups. Design A total of 23 synovial fluid samples were collected from patients with end-stage knee OA undergoing total knee replacement, with approval of the medical ethical committee. As controls, 6 synovial fluid samples were obtained from postmortem donors without any history of joint disease or arthritis. Measurement of free FA concentration was done by mass spectrometry for saturated FAs (SFA), monounsaturated FAs (MUFA), and omega-3 and omega-6 polyunsaturated FAs (n-3 PUFAs and n-6 PUFAs). Results Our measurements demonstrated the presence of SFAs, MUFAs, n-3 and n-6 PUFAs in synovial fluid of both nonsymptomatic and OA knee joints. The n-6/n-3 ratio was significantly lower in the OA group (P = 0.0005). Arachidonic acid (n-6 PUFA) concentrations were also lower in OA synovial fluid (P = 0.01), while tetracosadienoic acid (P = 0.0001) and nervonic acid (P = 0.001) (MUFAs) were higher in synovial fluid of patients with knee OA. Conclusion Synovial fluid contains a broad spectrum of free FAs. The FAs profile differs between OA and control subjects, including a tendency for less n-6 FAs in OA joints.
Effect of Heat Treatment on the Properties of Wood-Derived Biocarbon Structures

Wood-derived porous graphitic biocarbons with hierarchical structures were obtained by high-temperature (2200–2400 °C) non-catalytic graphitization, and their mechanical, electrical and thermal properties are reported for the first time. Compared to amorphous biocarbon produced at 1000 °C, the graphitized biocarbon-2200 °C and biocarbon-2400 °C exhibited increased compressive strength by ~38% (~36 MPa), increased electrical conductivity by ~8 fold (~29 S/cm), and increased thermal conductivity by ~5 fold (~9.5 W/(m·K) at 25 °C). The increase of duration time at 2200 °C contributed to increased thermal conductivity by ~12%, while the increase of temperature from 2200 to 2400 °C did not change their thermal conductivity, indicating that 2200 °C is sufficient for non-catalytic graphitization of wood-derived biocarbon.
The Association between Oligomenorrhea, Onset of Menopause and Metabolic Syndrome in Thai Postmenopausal Women

Objectives This study explored the association between a history of oligomenorrhea and onset of menopause and metabolic parameters. Methods The study population was 605 postmenopausal women who were patients at the Menopause Clinic, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand between February 2015 and December 2015. A questionnaire was used to ask all women about their history of oligomenorrhea. The study also collected medical data, including weight, height, waist circumference, blood pressure, and blood glucose and lipid profile. Results Of the 231 postmenopausal women with a complete data record, 31 had a history of oligomenorrhea and 200 did not. The age of onset of menopause was around 48 years in both groups. Prevalence of metabolic syndrome was 12.1%. More women with a waist circumference larger than 80 cm had a history of oligomenorrhea at the interview than women who had not, but a history of oligomenorrhea did not relate to other metabolic parameters. The adjusted odds ratio of a history of oligomenorrhea to waist circumference was 3.69 (95% confidence interval, 1.17–11.64). Conclusions A history of oligomenorrhea did not affect the age at menopause, but was associated with waist circumference during menopause.
A comparison of emergency department medical records to parental self-reporting of traumatic brain injury symptoms

Aim: Studies have shown Emergency Department (ED) recording of traumatic brain injury (TBI) cases to be poor. Methods: Parents of children aged 2–12 who attended an ED with injury to the head completed a concussion checklist which was compared with medical records. Results: ED medical records commonly used head injury (HI), concussion, minor-HI and mild-HI without distinction between TBI and superficial HI. Recalled symptoms included vomiting, blurred vision and headaches versus headaches, fatigue and feeling sick from parents who reported more concussive symptoms. More cases of TBI were identifiable from parental recall compared with medical records, which recorded fewer symptoms for diagnosis, prognosis and statistical reporting of TBI. Conclusion: Clear guidelines need to be implemented to improve retrospective diagnosis for incidence gathering and future clinical use.
Attention-based neural network for short-text question answering

Question answering (QA) has been a popular topic in information retrieval tasks. Several studies rely on classifiers with a large number of handcrafted syntactic and semantic features and various external resources, such as WordNet, which is an English dictionary based on cognitive linguistics. Deep learning approaches have recently gained advanced performance in QA. However, these approaches have to be combined with additional features, such as word overlap. In this work, the factoid query answer retrieval task is introduced; moreover, the effective solving of this task under a deep learning framework is investigated. An attention-based convolutional neural network model is proposed to obtain word- and phrase-level interactive information and generate correct probability to re-rank candidate answers. The performance of the proposed model is compared with other models using the popular benchmark text retrieval conference QA data. Results show that the proposed model can obtain a significant performance improvement.
SAFE-clustering: Single-cell Aggregated (From Ensemble) Clustering for Single-cell RNA-seq Data

Motivation Accurately clustering cell types from a mass of heterogeneous cells is a crucial first step for the analysis of single-cell RNA-seq (scRNA-Seq) data. Although several methods have been recently developed, they utilize different characteristics of data and yield varying results in terms of both the number of clusters and actual cluster assignments. Results Here, we present SAFE-clustering, Single-cell Aggregated (From Ensemble) clustering, a flexible, accurate and robust method for clustering scRNA-Seq data. SAFE-clustering takes as input, results from multiple clustering methods, to build one consensus solution. SAFE-clustering currently embeds four state-of-the-art methods, SC3, CIDR, Seurat and t-SNE + k-means; and ensembles solutions from these four methods using three hypergraph-based partitioning algorithms. Extensive assessment across 12 datasets with the number of clusters ranging from 3 to 14, and the number of single cells ranging from 49 to 32,695 showcases the advantages of SAFE-clustering in terms of both cluster number (18.9 - 50.0% reduction in absolute deviation to the truth) and cluster assignment (on average 28.9% improvement, and up to 34.5% over the best of the four methods, measured by adjusted rand index). Moreover, SAFE-clustering is computationally efficient to accommodate large datasets, taking <10 minutes to process 28,733 cells. Availability and implementation SAFE-clustering, including source codes and tutorial, is free available on the web at http://yunliweb.its. unc.edu/safe/. Contact yunli@med.unc.edu Supplementary information Supplementary data are available at Bioinformatics online.
Effects of Time of Day on Race Splits, Kinematics, and Blood Lactate During a 50-m Front Crawl Performance.

Lisbôa, FD, Raimundo, JAG, Pereira, GS, Ribeiro, G, de Aguiar, RA, and Caputo, F. Effects of time of day on race splits, kinematics, and blood lactate during a 50-m front crawl performance. J Strength Cond Res XX(X): 000-000, 2018-This study aimed to investigate the performance, race splits, metabolic, and stroke parameters during 2 successive 50-m front crawl under conditions simulating a competition. Eleven competitive male swimmers (20 ± 3 years, 182 ± 5 cm, and 77 ± 5 kg) performed 2 successive 50-m front crawl trials in a 50-m swimming pool at 10 AM and 5 PM. Block time (tB), 15-m performance (t.15-m), and 50-m performance (t.50-m) were measured. Velocity (V), stroke rate (SR), stroke length (SL), and stroke index (SI) were measured at 3 time points during the trials. Pre-trial and post-trial blood samples were taken to determine blood lactate accumulation (Δ[Lac]). For t.50-m, the relative difference between 10 AM and 5 PM reached 0.1% (p = 0.7; effect size [ES] = 0.02). Furthermore, no differences in tB (p = 0.12; ES = -0.28) and t.15-m (p = 0.39; ES = -0.16) were observed between periods. Both V (p = 0.11; ES = -0.14) and SI (p = 0.16; ES = 0.15) were also similar. Higher values of SR were recorded at 10 AM (p = 0.03; ES = -0.32), whereas the morning values of SL were lower (p = 0.04; ES = 0.3). Δ[Lac] was not significantly different between periods (p = 0.07; ES = -0.27). Although time of the day did not impact performance in 2 successive 50-m front crawl performances, different stroke parameters profiles were observed during these trials. This may help coaches design specific warm-up exercises to enhance performance at different times of the day.
Desirable Difficulties in Spatial Learning: Testing Enhances Subsequent Learning of Spatial Information

Previous work has shown that testing can enhance learning and retention of subsequently studied new information. The present study investigated this forward testing effect in spatial memory. In two experiments, participants studied four successively presented 3 × 3 arrays, each composed of the same nine objects. They were asked to memorize the locations of the objects which differed across the four arrays. Following presentation of Arrays 1–3, memory for the object locations of the respective array was tested (testing condition), or the array was re-presented for additional study (restudy condition). Thereafter, Array 4 was presented and tested in both the testing and the restudy condition. In Experiment 1, testing was self-paced, whereas in Experiment 2, testing time was controlled by the experimenter. Consistent across the two experiments, testing was found to enhance location memory for Array 4, relative to restudying. Furthermore, testing also reduced the number of confusion errors (i.e., the tendency to misplace objects to locations on which they had appeared previously) made during recall of Array 4, suggesting that testing reduced the interference potential of prior information. The results indicate that testing can enhance subsequent learning of spatial information by reducing the build-up of proactive interference from previously studied information.
Scalable don't-care-based logic optimization and resynthesis

We describe an optimization method for combinational and sequential logic networks, with emphasis on scalability and the scope of optimization. The proposed resynthesis (a) is capable of substantial logic restructuring, (b) is customizable to solve a variety of optimization tasks, and (c) has reasonable runtime on industrial designs. The approach uses don't cares computed for a window surrounding a node and can take into account external don't cares (e.g. unreachable states). It uses a SAT solver and interpolation to find a new representation for a node. This representation can be in terms of inputs from other nodes in the window thus effecting Boolean re-substitution. Experimental results on 6-input LUT networks after high effort synthesis show substantial reductions in area and delay. When applied to 20 large academic benchmarks, the LUT count and logic level is reduced by 45.0% and 12.2%, respectively. The longest runtime for synthesis and mapping is about two minutes. When applied to a set of 14 industrial benchmarks ranging up to 83K 6-LUTs, the LUT count and logic level is reduced by 11.8% and 16.5%, respectively. Experimental results on 6-input LUT networks after high-effort synthesis show substantial reductions in area and delay. The longest runtime is about 30 minutes.