Miracle-dz/UniFAR-FTUs huggingface dataset:
Drift-Insensitive Features for Learning Artificial Olfaction in E-Nose System

Domain features and independence maximization are proposed recently for learning the domain-invariant subspace to handle drift in gas sensors. The proposed domain features were the acquisition time and a unique device label for the collected gas samples. In real-time applications of gas sensing, a sample is usually collected using a multi-sensor sensing approach, so a unique device label is not possible in that case, which results in performance degradation. Similarly, semisupervised learning algorithms are proposed to handle drift for gas sensing applications, but getting data from the target domain for the calibration of the system is not always possible. To address these problems, this paper proposes a novel approach to handle the drift in gas sensors, with the following merits: 1) a new classification system based on cosine similarity is developed and features are exploited using a metaheuristic; the outcome is drift-insensitive features that are capable of handling drift in gas sensors; 2) the proposed system is robust against the drift without requiring any re-calibration, domain transformation, or data from target domain; 3) the classification system is an integration of two classifiers; this enables the system to outperform other baseline methods; and 4) only median values of drift-insensitive features are used for learning, so the system requires very few memory cells for storage. The proposed system is validated against a large-scale data set of 13910 samples from six gases, with 36 months’ drift and has demonstrated 86.01% classification accuracy, which is 2.76% improvement, when compared with other state-of-the-art methods.
Femoral Derotation Osteotomy in Adults for Version Abnormalities

Background: Version abnormalities of the femur can cause pain and hip joint damage due to impingement or instability. A retrospective clinical review was conducted on patients undergoing a subtrochanteric derotation osteotomy for either excessive anteversion or retroversion of the femur. Methods: A total of 55 derotation osteotomies were performed in 43 patients: 36 females and 7 males. The average age was 29 years (range, 14 to 59 years). The osteotomies were performed closed with an intramedullary saw. Fixation was performed with a variety of intramedullary nails. Twenty-nine percent of patients had a retroversion deformity (average, −9° of retroversion; range, +2° to −23°) and 71% had excessive anteversion of the femur (average, +37° of anteversion; range, +22° to +53°). The etiology was posttraumatic in 5 patients (12%), diplegic cerebral palsy in 2 patients (5%), Prader-Willi syndrome in 1 patient (2%), and idiopathic in 35 patients (81%). Forty-nine percent underwent concomitant surgery with the index femoral derotation osteotomy, including hip arthroscopy in 40%, tibial derotation osteotomy in 13%, and a periacetabular osteotomy in 5%. Tibial osteotomies were performed to correct a compensatory excessive external tibial torsion that would be exacerbated in the correction of excessive femoral anteversion. Results: No patient was lost to follow-up. Failures occurred in three hips in three patients (5%): two hip arthroplasties and one nonunion that healed after rerodding. There was one late infection treated successfully with implant removal and antibiotics with an excellent final clinical outcome. At an average follow-up of 6.5 years (range, 2 to 19.7 years), the modified Harris Hip Score improved by 29 points in the remaining 52 cases (P < 0.001, Wilcoxon signed-rank test). The results were rated as excellent in 75%, good in 23%, and fair in 2%. Subsequent surgery was required in 78% of hips, 91% of which were implant removals. Conclusions: A closed, subtrochanteric derotation osteotomy of the femur is a safe and effective procedure to treat either femoral retroversion or excessive anteversion. Excellent or good results were obtained in 93%, despite the need for subsequent implant removal in more than two-thirds of the patients.
Optimization of total phenolic content from Terminalia chebula Retz. fruits using response surface methodology and evaluation of their antioxidant activities

Ultrasonic-assisted extraction (UAE), using aqueous ethanol as the solvent, was firstly applied to extract phenolic compounds from Terminalia chebula Retz. fruits (T. chebula fruits). In this study, ethanol concentration (%), ultrasonic intensity (W/cm2), particle diameter (mm), extraction temperature (°C), ultrasonic time (min), liquid-solid ratio (mL/g) and extraction cycle were investigated by single-factor experiment and then optimized using a Box-Behnken design. The optimized result for UAE was 68% ethanol concentration, ultrasonic intensity of 3.6 W/cm2, solid-liquid ratio of 23 mg/mL, particle size of 0.18 mm and ultrasonic time of 20 min for 2 times at 70 °C. The yield of total phenolic was 448.7 ± 2.15 mg GAE/g DW under the above optimum conditions, which agreed with the predicted value (447.8 mg GAE/g DW). Compared to conventional solvent extraction (CSE), UAE extracts showed excellent DPPH radical, DPPH, ABTS scavenging activities and reducing power in a dose-dependent manner, and better than that of CSE extracts. Additionally, the extract of the T. chebula fruits was analyzed by HPLC-ESI/MS. In summary, UAE could effectively extract phenolic compounds from T. chebula fruits. In addition, the extract could be used as a potential source of natural antioxidants.
Countermovement Jump and Isokinetic Dynamometry as Measures of Rehabilitation Status After Anterior Cruciate Ligament Reconstruction.

CONTEXT Despite an increase in the literature, few definitive guidelines are available to determine when an athlete has been fully rehabilitated after anterior cruciate ligament reconstruction (ACLR). OBJECTIVE To examine countermovement jump and isokinetic dynamometry measures to (1) identify which measures can best distinguish between ACLR and control participants and (2) provide normative values for identified measures in young adult male multidirectional field-sport athletes. DESIGN Cross-sectional study. SETTING Orthopaedic hospital. PATIENTS OR OTHER PARTICIPANTS Young adult male multidirectional field-sport athletes (n = 118) who had undergone unilateral patellar-tendon graft ACLR at least 6 months earlier and healthy male participants (n = 44) with no previous knee injury. INTERVENTION(S) Single-legged countermovement jump (SL CMJ). MAIN OUTCOME MEASURE(S) Three-dimensional biomechanical analysis of the SL CMJ and mean peak concentric knee-extension and -flexion torque using isokinetic dynamometry (ISO) were compared in the 2 groups. A stepwise logistic regression was carried out to identify the best predictors of ACLR- or control-group membership (SL CMJ height, limb symmetry index, peak power, joint power contribution, ISO peak torque, limb symmetry index variables). RESULTS The control group differed strongly from the ACLR group in isokinetic knee-extension peak torque (d = -1.33), SL CMJ performance (d > 0.4), and limb symmetry measures in both ISO and jump outcomes (d > 1.1). The combination of measures from both ISO and SL CMJ identified group membership with an accuracy of 89%. CONCLUSIONS Rehabilitation of ACLR patients may be complete when they achieve isokinetic knee-extension peak torque of 260% (±40%) body mass, SL CMJ performance of >17 cm (±4 cm), and reach-limb symmetry measures of >90% in both strength and jump outcomes. The outcomes in the control group can inform return-to-play criteria for young adult male multidirectional field-sport athletes after ACLR.
Effects of genotype and sex on technological properties and fatty acid composition of duck meat

&NA; Study was conducted to determine the effects of genotype and sex on the technological properties and fatty acid composition of duck meat. Native (n = 15) and Peking (n = 15) ducks were slaughtered at 10 wk old, and meat samples were taken from M. pectoralis major (breast) and M. peroneus longus (thigh). The pH24, drip loss, expressed juice, cooking loss, Warner‐Bratzler shear force (WBSF), color variables, fatty acid composition, and sensory characteristics were examined. Ultimate pH of breast meat in Peking ducks (6.01) was higher than that of native ducks (5.82). The breast drip loss (3.40%) and cooking loss (31.23%) in native ducks were higher than those in Peking ducks (2.77 and 26.69%, respectively). The expressed juice of thigh meat in native ducks (8.23%) was higher than that of Peking ducks (6.52%). Genotype and sex had no significant influence on WBSF and meat color. Lightness (L*) values of breast and thigh skin were higher in Peking ducks than native ones. In panel evaluation, panelists evaluated the meat of Peking ducks with higher odor and flavor intensity. Breast meat of native ducks had higher &Sgr;‐polyunsaturated fatty acid (&Sgr;PUFA), &Sgr;n‐6 (omega‐6) proportions, nutritive value, the ratio of &Sgr;PUFA to &Sgr;‐saturated fatty acid (&Sgr;SFA) and lower &Sgr;SFA, atherogenic and thrombogenic indices than Peking ducks. Instrumental and sensory characteristics of duck meat as well as fatty acid composition indicate that duck finishing can be considered as an alternative source of high‐quality meat production.
Lung Ultrasound Score Predicts Surfactant Need in Extremely Preterm Neonates

We enrolled >130 extremely preterm infants in our study to demonstrate the accuracy of the LUS for an early prediction of surfactant treatment. BACKGROUND AND OBJECTIVES: There are several lung ultrasound scores (LUS) for evaluating lung aeration in critically ill adults with restrictive lung disorders. A modified LUS adapted for neonates correlates well with oxygenation and is able to be used to predict the need for surfactant in preterm neonates with respiratory distress syndrome (RDS). However, no data are available for extremely preterm neonates for whom timely surfactant administration is especially important. We hypothesized that LUS might be reliable in extremely preterm neonates with RDS who are treated with continuous positive airway pressure. We aimed to determine the diagnostic accuracy of LUS in predicting the need for surfactant treatment and re-treatment in this population. METHODS: We performed a prospective cohort diagnostic accuracy study between 2015 and 2016 in a tertiary-care academic center. Inborn neonates at ≤30 weeks’ gestation with RDS treated with continuous positive airway pressure were eligible. Surfactant was given on the basis of oxygen requirement thresholds derived from European guidelines, and a LUS was not used to guide surfactant treatment. We calculated the LUS after admission and analyzed its diagnostic accuracy to predict surfactant treatment and re-treatment. RESULTS: We enrolled 133 infants; 68 (51%) received 1 dose of surfactant and 19 (14%) received 2 surfactant doses. A LUS is significantly correlated with oxygenation index (ρ = 0.6; P < .0001) even after adjustment for gestational age (P < .0001). A LUS can be used to accurately predict the need for the first surfactant dose (area under the curve = 0.94; 95% confidence interval: 0.90–0.98; P < .0001) and also the need for surfactant redosing (area under the curve = 0.803; 95% confidence interval: 0.72–0.89; P < .0001). The global accuracy for the prediction of surfactant treatment and re-treatment is 89% and 72%, respectively. CONCLUSIONS: LUS may be used to predict the need for surfactant replacement in extremely preterm neonates with RDS.
10-Year Cardiovascular Disease Risk Estimation Based on Lipid Profile-Based and BMI-Based Framingham Risk Scores across Multiple Sociodemographic Characteristics: The Malaysian Cohort Project

Cardiovascular disease (CVD) leads to high morbidity and mortality rate worldwide. Therefore, it is important to determine the risk of CVD across the sociodemographic factors to strategize preventive measures. The current study consisted of 53,122 adults between the ages of 35 and 65 years from The Malaysian Cohort project during recruitment phase from year 2006 to year 2012. Sociodemographic profile and physical activity level were assessed via self-reported questionnaire, whereas relevant CVD-related biomarkers and biophysical variables were measured to determine the Framingham Risk Score (FRS). The main outcome was the 10-year risk of CVD via FRS calculated based on lipid profile and body mass index (BMI) associated formulae. The BMI-based formula yielded a higher estimation of 10-year CVD risk than the lipid profile-based formula in the study for both males (median = 13.2% and 12.7%, respectively) and females (median = 4.3% and 4.2%, respectively). The subgroup with the highest risk for 10-year CVD events (based on both FRS formulae) was the Malay males who have lower education level and low physical activity level. Future strategies for the reduction of CVD risk should focus on screening via BMI-based FRS in this at-risk subpopulation to increase the cost-effectiveness of the prevention initiatives.
Fuzzy Logic Based Reactive Power Management for Autonomous MicroGrid

This paper presents reactive power management for autonomous MicroGrid (MG). A Fuzzy logic based controller is proposed to improve the voltage profile and the overall system's performances. The real grid test system of Djanet site located in south of Algeria, is used for the study. Two scenarios are considered: the system operating only with conventional diesel generators and the system operating with integrated Photovoltaic (PV) power plant connected to the main grid. Mathematical models of the system's main components including the PV power plant, have been developed. Direct Power Control (DPC) with three phase Space Vector Pulse Width Modulation (SVPWM) operating at constant switching frequency was used to control a two levels Voltage Source Inverter (VSI). Moreover, a three phase to ground short-circuit fault is performed to assess the performance of the proposed approach. The obtained results prove the efficiency of evaluated control strategy to overcome the voltage drifts and overshoot after the fault occurrence in the MG.
Intermittent hypoxia, brain glyoxalase-1 and glutathione reductase-1, and anxiety-like behavior in mice

Objective: Sleep apnea has been associated with anxiety, but the mechanisms of the sleep apnea-anxiety relationship are unresolved. Sleep apnea causes oxidative stress, which might enhance anxiety-like behavior in rodents. To clarify the apnea-anxiety connection, we tested the effect of intermittent hypoxia, a model of sleep apnea, on the anxiety behavior of mice. Methods: The rodents were exposed daily to 480 one-minute cycles of intermittent hypoxia to a nadir of 7±1% inspiratory oxygen fraction or to a sham procedure with room air. After 7 days, the mice from both groups were placed in an elevated plus maze and were video recorded for 10 min to allow analysis of latency, frequency, and duration in open and closed arms. Glyoxalase-1 (Glo1) and glutathione reductase-1 (GR1) were measured in the cerebral cortex, hippocampus, and striatum by Western blotting. Results: Compared to controls, the intermittent hypoxia group displayed less anxiety-like behavior, perceived by a statistically significant increase in the number of entries and total time spent in open arms. A higher expression of GR1 in the cortex was also observed. Conclusion: The lack of a clear anxiety response as an outcome of intermittent hypoxia exposure suggests the existence of additional layers in the anxiety mechanism in sleep apnea, possibly represented by sleepiness and irreversible neuronal damage.
Return to Play Among Elite Basketball Players After Osteochondral Allograft Transplantation of Full-Thickness Cartilage Lesions

Background: Osteochondral allograft transplantation (OCA) is a recognized option for full-thickness articular cartilage defects of the knee, especially in the setting of large lesions or those involving the subchondral bone. Previous heterogenous studies of athletes have shown a 75% to 79% rate of return to play after the procedure. Purpose: To define return-to-play rates in a cohort of elite collegiate and professional basketball players following osteochondral allograft of the knee. Study Design: Case series; Level of evidence, 4. Methods: Prospectively collected data from an institutional cartilage repair registry were retrospectively reviewed. Patients were eligible for inclusion if they were collegiate or professional basketball players at the time of surgery. Patient demographics, lesion size and location, and surgical details were collected. Postoperative magnetic resonance imaging scans were scored with the OCAMRISS system. Time to return to play and pre- versus postoperative player performance were determined with publicly available internet resources. Results: Eleven athletes (4 professional, 7 collegiate) with a total of 14 treated lesions (1 to the medial femoral condyle, 6 to the lateral femoral condyle, 5 to the trochlea, and 2 to the patella) were eligible for study inclusion. Mean lesion size was 509 mm2. All patients underwent OCA through an arthrotomy, with fresh grafts. The overall rate of return to play at the same level of competition was 80%. Median time to return to play was 14 months (range, 6-26 months). Among players with available statistics, there was no significant reduction in any performance category. Conclusion: OCA in elite basketball players results in an 80% return to previous level of competition, which is consistent with previous reports of athletes playing other sports. Osteochondral allografting is a reasonable option to consider for full-thickness cartilage lesions of the knee, even for elite jumping athletes.
Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model

Ruminant animals possess a characteristic four-compartment stomach (rumen, reticulum, omasum, and abomasum) that is specialized for pre-intestinal digestion of plant materials. Of these four compartments, the rumen is the largest. The rumen’s diverse microbial community has been well studied. However, the current understanding of microbial profiles in the reticulum, omasum and abomasum are lacking. In the present study, fluid samples from the reticulum, omasum, and abomasum of goats at 3, 7, 14, 21, 28, 42, and 56 days after birth, as well as the negative controls (NC) used for microbial DNA extraction, were subjected to 16S rRNA sequencing. By filtering operational taxonomic units (OTUs) in NC, distinct temporal distributions of microbes were observed in the different compartments, we showed that the OTUs in control samples had a large effect to the samples with low microbial density. In addition, Proteobacteria gradually decreased with age from days 3 to 56 in all three compartments, and the relative abundance of Bacteroidetes increased from 24.15% (Day 3) to 52.03% (Day 56) in abomasum. Network analysis revealed that Prevotellaceae_UGG-03 and Rikenellaceae_RC9 were positively correlated with Prevotella_1, lending support to the well understood fact that cellulose is well digested in compound stomachs prior to the rumen. Pathway analysis revealed that gene expression in abomasum at Day 3 were primarily related to Glycolysis/Gluconeogenesis and Pyruvate metabolism, suggesting that colostrum digestion is the dominant function of the abomasum at an early age. These findings combined with other recent rumen microbiota data show that the microbiome landscape represents three distinct stages in ruminant stomachs. The first stage is to gain access to external microorganisms at Day 0–14, the secondary stage is for microbial transition at Day 14–28, and the third stage is for exogenous and endogenous microbial colonization beyond Day 28 of age. Our results provide insight into microbiota dynamics in ruminant stomachs, and will facilitate efforts for the maintenance of gastrointestinal balance and intervention with starter diets in juvenile ruminants during early development.
D-PAGE: Diverse Paraphrase Generation

In this paper, we investigate the diversity aspect of paraphrase generation. Prior deep learning models employ either decoding methods or add random input noise for varying outputs. We propose a simple method Diverse Paraphrase Generation (D-PAGE), which extends neural machine translation (NMT) models to support the generation of diverse paraphrases with implicit rewriting patterns. Our experimental results on two real-world benchmark datasets demonstrate that our model generates at least one order of magnitude more diverse outputs than the baselines in terms of a new evaluation metric Jeffrey's Divergence. We have also conducted extensive experiments to understand various properties of our model with a focus on diversity.
Latent Class Analysis of E-cigarette Use Sessions in their Natural Environments.

Introduction Delivery of nicotine and substances from electronic nicotine delivery systems, or e-cigarettes, depends in-part on how users puff on the devices. Little is known about variation in puffing behavior to inform testing protocols or understand if puffing behaviors result in increased exposure to emissions. Methods We analyzed puff topography data collected using a wireless portable use monitor (wPUMTM) continuously over 2 weeks among N = 34 current second generation ecigarette users in their everyday lives. For each puff, the wPUMTM recorded date, time, duration, volume, flow rate, and inter-puff interval. Results We defined use session and classes at the session level using multilevel latent profile analysis, resulting in two session classes and three person types. Session class 1 was characterized by 14.7 puffs per session (PPS), low puff volume (59.9 ml), flow rate (28.7 ml/sec), and puff duration (202.7 sec x 100). Session class 2 was characterized by 16.7 PPS with a high puff volume (290.9 ml), flow rate (71.5 ml/sec), and puff duration (441.1 sec x 100). Person class 1 had almost exclusively "light" class 1 sessions (98.0%), whereas person class 2 had a majority of "heavy" class 2 sessions (60.7%) and person class 3 had a majority of "light" class 1 sessions (75.3%) but some "heavy" class 2 sessions (24.7%). Conclusion Results suggest there are different session topography patterns among e-cigarette users. Further assessment is needed to determine if some users have increased exposure to constituents and/or health risks due to e-cigarettes. Implications Our study examines topography characteristics in a users' natural setting to identify two classes of e-cigarette session behavior and three classes of users. These results suggest that it is important for studies on the health effects of e-cigarettes to take variation in user topography into account. It is crucial to accurately understand the topography profiles of session and user types to determine whether some users are at greater exposure to harmful or potentially harmful constituents (HPHCs) and risks from e-cigarettes as they are used by consumers.