Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypoglossal Nerve Stimulation: Outcomes in Veterans with Obstructive Sleep Apnea and Common Comorbid Post‐traumatic Stress Disorder

Veterans have an increasing prevalence of obstructive sleep apnea (OSA) and high levels of intolerance to positive airway pressure (PAP). The hypoglossal nerve stimulator (HNS) is a promising alternative surgical treatment for OSA in these patients, many of whom suffer from mental health conditions such as post‐traumatic stress disorder (PTSD) that may negatively affect their ability to use PAP. Our aims were: 1) to assess postoperative changes in OSA severity and sleepiness in a veteran only population after HNS; 2) to compare postoperative changes in OSA severity, sleepiness and HNS adherence between veterans with and without PTSD; and 3) to compare HNS adherence in our population to HNS adherence in the current literature as well as published PAP adherence data.
Adsorption of Cr (VI) by chitosan with different deacetylation degrees

ABSTRACTChitosan with different deacetylation degrees (DD) was used to remove Cr (VI) from aqueous solution by adsorption. Chitosan was obtained from shrimp wastes and characterized. The adsorption study was carried out by response surface methodology, equilibrium isotherms, thermodynamics, kinetic, and interactions. The results showed that the DD increase caused an increase in chitosan amino groups and changes in crystallinity were observed. The more appropriate conditions for Cr (VI) adsorption by chitosan were DD of 95% and pH 3. The Sips model was the more adequate to fit the experimental equilibrium data (R2 > 0.99 and ARE 0.99 and ARE < 2.00). It was verified interactions between Cr (VI) and chitosan-protonated amino g.
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training

Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames). We need to investigate to what extent such DL-based systems can provide satisfying accuracy on exergame relevant measures. Our study assesses temporal variation (i.e., variability) in body segment lengths, while using a Deep Learning image processing tool (DeepLabCut, DLC) on two-dimensional (2D) video. This variability is then compared with a gold-standard, marker-based three-dimensional Motion Capturing system (3DMoCap, Qualisys AB), and a 3D RGB-depth camera system (Kinect V2, Microsoft Inc). Simultaneous data were collected from all three systems, while participants (N = 12) played a custom balance training exergame. The pose estimation DLC-model is pre-trained on a large-scale dataset (ImageNet) and optimized with context-specific pose annotated images. Wilcoxon’s signed-rank test was performed in order to assess the statistical significance of the differences in variability between systems. The results showed that the DLC method performs comparably to the Kinect and, in some segments, even to the 3DMoCap gold standard system with regard to variability. These results are promising for making exergames more accessible and easier to use, thereby increasing their availability for in-home exercise.
Wideband Multiport Antennas

In this paper, a wideband four port 2–6 GHz antenna is proposed. One-, two-, and four-port antennas are implemented and characterized between 2 and 6 GHz. The isolation between the ports is improved by connecting and optimizing the ground plane sections. The results show that the antennas’ reflection coefficients are better than 10 dB in the frequency band. The measured isolation between the ports is greater than 15 dB (between 2.3 and 6 GHz) and 10 dB in the whole band for two- and four-port antennas, respectively, however, it is more than 20 dB around 2.4 and 5–6 GHz for both antennas. The calculated correlation coefficient between ports is below −30 dB (>2.14 GHz) and −15 dB for the two- and four-port antennas, respectively. The measured gain and efficiency scale are 3.1–6.75 dBi and 62–98%, respectively. To the best of our knowledge, an antenna both being wideband from 2 to 6 GHz and having independent four ports is only addressed in this work. The four-port antenna can be used for MIMO systems or smartphones operating on many wireless systems simultaneously such as 3G/4G/5G Sub-6 GHz and WLAN including the next generation WiFi7 with full-duplex operation.
Molecular links between endocrine, nervous and immune system during chronic stress

The stress response is different in various individuals, however, the mechanisms that could explain these distinct effects are not well known and the molecular correlates have been considered one at the time. Particular harmful conditions occur if the subject, instead to cope the stressful events, succumb to them, in this case, a cascade reaction happens that through different signaling causes a specific reaction named “sickness behaviour. ” The aim of this article is to review the complex relations among important molecules belonging to Central nervous system (CNS), immune system (IS), and endocrine system (ES) during the chronic stress response.
Crystalline hydrous titanium (IV) oxide (CHTO): An arsenic (III) scavenger from natural water

Arsenic contamination (>10 ppb) in groundwater poses a risk to public health globally. The problem is apparently the greatest in the Bengal basin of the Ganga River. As(III) is a major contaminant in anoxic groundwater. Here, a systematic report on As(III) removal using synthetic crystalline hydrous titanium(IV) oxide (CHTO) is made. Absolute As(III) sorption capacity is 72 to 75 g kg -1 at a pH of 7.0. CHTO has nearly the same sorption density in the pH range of 6.0 to 9.0. Use of pre-dried CHTO above 350°C shows a decrease in sorption density from 11.50 (±0.10) to <9.0 mg g -1 . Approximately 70% of As(III) sorption takes place within 0.5 hour. Interfering effect studies of some ions show a poor effect on the sorption process except for HCO - 3 . As(III) sorption follows the Lagergren first-order kinetic model and the sorption data fit the Freundlich and Langmuir isotherms well. Batch and column methods for regeneration of arsenic rich CHTO with 1.0 M NaOH solution show ∼ 90% and 75 to 80% regain of its initial efficiency, respectively. Flow-rate and bed depth variation effects on As(III) removal from a spiked (500 μg l -1 ) natural water are reported systematically. Lab-bench mini-pilot scale application of a fixed-bed (bed volume=30.0 cm 3 ) CHTO column is reported at a down flow-rate of 33 to 34 B.V. (bed volume) h -1 using an As(III) spiked (320 μg l -1 ) natural tap water sample from Presidency College, Kolkata. Reuse of the bed after regeneration shows a decrease in As(III) removal efficiency to the extent of 20-25% of that of a fresh column. Arsenic recovery (∼ 99.25%) from the regenerate is also reported.
The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review

Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to women’s health. Thus, early detection and proper treatment can improve patient prognosis. Breast ultrasound is one of the most commonly used modalities for diagnosing and detecting breast cancer in clinical practice. Deep learning technology has made significant progress in data extraction and analysis for medical images in recent years. Therefore, the use of deep learning for breast ultrasonic imaging in clinical practice is extremely important, as it saves time, reduces radiologist fatigue, and compensates for a lack of experience and skills in some cases. This review article discusses the basic technical knowledge and algorithms of deep learning for breast ultrasound and the application of deep learning technology in image classification, object detection, segmentation, and image synthesis. Finally, we discuss the current issues and future perspectives of deep learning technology in breast ultrasound.
A new predictor to determine the exacerbation and treatment of chronic obstructive pulmonary disease: eosinophil/neutrophil ratio.

Introduction COPD is an inflammatory disease characterized by persistent respiratory symptoms and airflow limitation. Currently, it has been demonstrated in some studies that eosinophil and T helper-2 mediated inflammation play a role in the pathophysiology of COPD. Materials and Methods It was planned to evaluate eosinophilia, eosinophil/ neutrophil ratio (ENR), distribution of ENR according to GOLD groups, number of exacerbations in last year, relationship between ENR and the rate of ICS use in COPD patients, and the ENR cut-off value that predicts eosinophilic COPD. This study was planned prospectively in stable COPD patients between July 2017 and December 2017. All patients were divided into two groups as eosinophilic and non-eosinophilic group. Eosinophilia was considered to be > 2% of peripheric blood eosinophils. Result A total of 206 stable COPD patients (127 eosinophilic and 79 noneosinophilic) were included. Age, gender, BMI, smoking history, mMrc score were statistically similar while average pack-year of smoking was significantly higher in eosinophilic group. ENR was significantly higher in eosinophilic group as expected (p<0.001). High positive correlation was found between ENR and eosinophilic COPD (r= 0.8, p<0.001). In Group D, the number of eosinophilic COPD patients is significantly higher than the non-eosinophilic group while the distribution of patients in group A, B, C was similar. Although the PFT findings were similar in both groups, the use of ICS was significantly lower and the number of exacerbations was significantly higher in eosinophilic group. In the ROC analysis, the ENR cut-off value that predicts eosinophilic COPD was found to be 0.32 in all COPD patients (Sens: 93.7%, Specif: 92.4%, AUC= 0.97, p<0.001). Conclusions Based on these findings, it is considered that more priority should be given to the use of ICS in COPD patients with high ENR and it can be used as a marker for predicting COPD exacerbation as COPD exacerbations are higher in patients with ENR.
Nanostructured Carbonated Hydroxyapatite Associated to rhBMP-2 Improves Bone Repair in Rat Calvaria

Many biomaterials are used for Bone Morphogenetic Proteins (BMPs) delivery in bone tissue engineering. The BMP carrier system’s primary function is to hold these growth factors at the wound’s site for a prolonged time and provide initial support for cells to attach and elaborate the extracellular matrix for bone regeneration. This study aimed to evaluate the nanostructured carbonated hydroxyapatite microspheres (nCHA) as an rhBMP-2 carrier on rats calvaria. A total of fifteen male Wistar rats were randomly divided into three groups (n = 5): clot (control group), rhBMP-2 associated with collagen membrane (COL/rhBMP-2) or associated with the microspheres (nCHA/rhBMP-2). After 45 days, the calvaria defect samples were evaluated through histological, histomorphometric, and SR-µCT analyses to investigate new-formed bone and connective tissue volume densities. The descriptive histological analysis showed that nCHA/rhBMP-2 improved bone formation compared to other groups. These results were confirmed by histomorphometric and SR-µCT analysis that showed substantially defect area filling with a higher percentage of newly formed (36.24 ± 6.68) bone than those with the COL/rhBMP-2 (0.42 ± 0.40) and Clot (3.84 ± 4.57) (p < 0.05). The results showed that nCHA is an effective carrier for rhBMP-2 encouraging bone healing and an efficient alternative to collagen membrane for rhBMP-2 delivery.
Advances in Transgenic Mouse Models to Study Infections by Human Pathogenic Viruses

Medical research is changing into direction of precision therapy, thus, sophisticated preclinical models are urgently needed. In human pathogenic virus research, the major technical hurdle is not only to translate discoveries from animals to treatments of humans, but also to overcome the problem of interspecies differences with regard to productive infections and comparable disease development. Transgenic mice provide a basis for research of disease pathogenesis after infection with human-specific viruses. Today, humanized mice can be found at the very heart of this forefront of medical research allowing for recapitulation of disease pathogenesis and drug mechanisms in humans. This review discusses progress in the development and use of transgenic mice for the study of virus-induced human diseases towards identification of new drug innovations to treat and control human pathogenic infectious diseases.
The Effectiveness of Botulinum Toxin Type A (BoNT-A) Treatment in Brazilian Patients with Chronic Post-Stroke Spasticity: Results from the Observational, Multicenter, Prospective BCause Study

Botulinum toxin type A (BoNT-A) is an effective treatment for post-stroke spasticity; however, some patients cannot access treatment until ≥1 year post-stroke. This Brazilian post-marketing study (NCT02390206) assessed the achievement of person-centered goals in patients with chronic post-stroke spasticity after a BoNT-A injection. Patients had a last documented stroke ≥1 year before study entry and post-stroke upper limb (UL) spasticity, with or without lower limb (LL) spasticity. Patients received BoNT-A injections at baseline (visit 1) and visit 2 (3–6 months). Primary endpoint was responder rate (achievement of primary goal from Goal Attainment Scaling (GAS)) at visit 2. Overall, 204 patients underwent GAS evaluation at visit 2, mean (SD) age was 56.4 (13.2) years and 90.7% had LL spasticity. Median (range) time between first stroke and onset of spasticity was 3.6 (0−349) months, onset of spasticity and first injection was 22.7 (0−350) months and waiting time for a rehabilitation appointment was 9.0 (1−96) months. At visit 2, 61.3% (95% CI: 54.4, 67.7) of patients were responders, which was similar for UL and LL primary goals (57.8% [95% CI: 49.9, 65.3] vs. 64.1% [95% CI: 48.4, 77.3]). This study provides evidence to support the effectiveness of BoNT-A treatment for chronic post-stroke spasticity.
Sex- and age-dependent differences in nicotine susceptibility evoked by developmental exposure to tobacco smoke and/or ethanol in mice

Abstract Either tobacco smoking or alcohol consumption during pregnancy sex-selectively increases susceptibility to drugs of abuse later in life. Considering that pregnant smoking women are frequently intermittent consumers of alcoholic beverages, here, we investigated whether a short-term ethanol exposure restricted to the brain growth spurt period when combined with chronic developmental exposure to tobacco smoke aggravates susceptibility to nicotine in adolescent and adult mice. Swiss male and female mice were exposed to tobacco smoke (SMK; research cigarettes 3R4F, whole-body exposure, 8 h/daily) or ambient air during the gestational period and until the tenth postnatal day (PN). Ethanol (ETOH, 2 g/Kg, 25%, i.p.) or saline was injected in the pups every other day from PN2 to PN10. There were no significant differences in cotinine (nicotine metabolite) and ethanol serum levels among SMK, ETOH and SMK + ETOH groups. During adolescence (PN30) and adulthood (PN90), nicotine (NIC, 0.5 mg/Kg) susceptibility was evaluated in the conditioned place preference and open field tests. NIC impact was more evident in females: SMK, ETOH and SMK + ETOH adolescent females were equally more susceptible to nicotine-induced place preference than control animals. At adulthood, SMK and SMK + ETOH adult females exhibited a nicotine-evoked hyperlocomotor profile in the open field, with a stronger effect in the SMK + ETOH group. Our results indicate that ethanol exposure during the brain growth spurt, when combined to developmental exposure to tobacco smoke, increases nicotine susceptibility with stronger effects in adult females. This result represents a worsened outcome from the early developmental dual exposure and may predispose nicotine use/abuse later in life.
An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data

With the rapid development of LBSs (location-based services) in recent years, researchers have increasingly taken an interest in trying to make travel routes more practicable and individualized. Despite the fact that many studies have been conducted on routes using LBS data, the specific routes are deficient in dynamic scalability and the correlations between environmental constraints and personal choices have not been investigated. This paper proposes an improved HMM-based (hidden Markov model) method for planning personalized routes with crowd sourcing spatiotemporal data. It tries to integrate the dynamic public preferences, the individual interests and the physical road network space in the same spatiotemporal framework, ensuring that reasonable routes will be generated. A novel dual-layer mapping structure has been proposed to bridge the gap from brief individual preferences to specific entries of POIs (points-of-interest) inside realistic road networks. A case study on Changsha city has proven that the proposed method can not only flexibly plan people’s travel routes under different spatiotemporal backgrounds but also is close to people’s natural selection by the perception of the group.
Distance Assessment for Detecting Cognitive Impairment in Older Adults: A Systematic Review of Psychometric Evidence

Introduction: Distance or remote cognitive assessments, administered via phone or computer platforms, have emerged as possible alternatives to traditional assessments performed during office visits. Distance refers to any nontraditional assessment feature, not only or necessarily location. We conducted a systematic review to examine the psychometric soundness of these approaches. Method: We searched PubMed, PsycINFO, AgeLine, and Academic Search Premier for articles published between January 2008 and June 2020. Studies were included if participants were over the age of 50, a structured assessment of cognitive function in older adults was evaluated, the assessment method was deemed distant, and validity and/or reliability data were reported. Assessment distance was defined as having any of the following features: use of an electronic test interface, nonroutine test location (e.g., home), test self-administered, and test unsupervised. Distance was categorized as low, intermediate, or high. Results/Discussion: Twenty-six studies met inclusion criteria. Sample sizes ranged from n = 8 to 8,627, and the mean age ranged from 57 to 83. Assessments included screens, brief or full batteries, and were performed via videoconferencing, phone, smartphone, or tablet/computer. Ten studies reported on low distance, 11 on intermediate distance, and 5 studies for high distance assessments. Invalid performance data were observed with older age and cognitive impairment. Convergent validity data were reported consistently and suggested a decline with increasing distance: r = 0.52–0.80 for low, 0.49–0.75 for intermediate, and 0.41–0.53 for high distance. Diagnostic validity estimates presented a similar pattern. Reliability data were reported too inconsistently to allow evaluation. Conclusion: The validity of cognitive assessments with older adults appears supported at lower but not higher distance. Less is known about the reliability of such assessments. Future research should delineate the person and procedure boundaries for valid and reliable test results.
How big is big enough? Surprising responses of a semiarid grassland to increasing deluge size

Climate change has intensified the hydrologic cycle globally, increasing the magnitude and frequency of large precipitation events, or deluges. Dryland ecosystems are expected to be particularly responsive to increases in deluge size, as their ecological processes are largely dependent on distinct soil moisture pulses. To better understand how increasing deluge size will affect ecosystem function, we conducted a field experiment in a native semiarid shortgrass steppe (Colorado, USA). We quantified ecological responses to a range of deluge sizes, from moderate to extreme, with the goal of identifying response patterns and thresholds beyond which ecological processes would not increase further (saturate). Using a replicated regression approach, we imposed single deluges that ranged in size from 20 to 120 mm (82.3rd to >99.9th percentile of historical event size) on undisturbed grassland plots. We quantified pre‐ and postdeluge responses in soil moisture, soil respiration, and canopy greenness, as well as leaf water potential, growth, and flowering of the dominant grass species (Bouteloua gracilis). We also measured end of season above‐ and belowground net primary production (ANPP, BNPP). As expected, this water‐limited ecosystem responded strongly to the applied deluges, but surprisingly, most variables increased linearly with deluge size. We found little evidence for response thresholds within the range of deluge sizes imposed, at least during this dry year. Instead, response patterns reflected the linear increase in the duration of elevated soil moisture (2–22 days) with increasing event size. Flowering of B. gracilis and soil respiration responded particularly strongly to deluge size (14‐ and 4‐fold increases, respectively), as did ANPP and BNPP (~60% increase for both). Overall, our results suggest that this semiarid grassland will respond positively and linearly to predicted increases in deluge size, and that event sizes may need to exceed historical magnitudes, or occur during wet years, before responses saturate.
Metagenomic insights into the metabolism and evolution of a new Thermoplasmata order (Candidatus Gimiplasmatales).

Thermoplasmata is a widely-distributed and ecologically-important archaeal class in the phylum Euryarchaeota. Because few cultures and genomes are available, uncharacterized Thermoplasmata metabolisms remain unexplored. In this study, we obtained four medium- to high-quality archaeal metagenome-assembled genomes (MAGs) from the filamentous fragments of black-odorous aquatic sediments (Foshan, Guangdong, China). Based on their 16S rRNA gene and ribosomal protein phylogenies, the four MAGs belong to the previously unnamed Thermoplasmata UBA10834 clade. We propose that this clade (five reference genomes from the Genome Taxonomy Database (GTDB) and four MAGs from this study) be considered a new order, Candidatus Gimiplasmatales. Metabolic pathway reconstructions indicated that the Ca. Gimiplasmatales MAGs can biosynthesize isoprenoids and nucleotides de novo. Additionally, some taxa have genes for formaldehyde and acetate assimilation, and the Wood-Ljungdahl CO2 -fixation pathway, indicating a mixotrophic lifestyle. Sulfur reduction, hydrogen metabolism, and arsenic detoxification pathways were predicted, indicating sulfur-, hydrogen-, and arsenic-transformation potentials. Comparative genomics indicated that the H4 F Wood-Ljungdahl pathway of both Ca. Gimiplasmatales and Methanomassiliicoccales was likely obtained by the interdomain lateral gene transfer from the Firmicutes. Collectively, this study elucidates the taxonomic and potential metabolic diversity of the new order Ca. Gimiplasmatales and the evolution of this subgroup and its sister lineage Methanomassiliicoccales. This article is protected by copyright. All rights reserved.
Adult Medicaid Benefit Generosity and Receipt of Recommended Health Services among Low-Income Children: The Spillover Effects of Medicaid Adult Dental Coverage Expansions

Low-income children are less likely to receive recommended health services than their high-income counterparts. This paper examines whether the design of parental Medicaid benefit packages could serve as a mechanism for reducing income-based disparities in unmet health care needs, considering dental benefits as a case study. Leveraging state-level changes to adult dental benefits over time, I find that coverage is associated with increases of 14 and 5 percentage points, respectively, in the likelihood of a recent dental visit among parents and children directly exposed to the policy. Child effects appear to be concentrated among younger children under age 12.