Miracle-dz/UniFAR-FTUs huggingface dataset:
Voluntary home and car smoke-free rules in Japan: a cross-sectional study in 2015

Objectives Recently, the Tokyo Metropolitan Assembly passed an ordinance prohibiting smoking in private homes and cars if children are present. However, no previous study has investigated existing, voluntary home and car smoke-free rules in Japan. Therefore, we examined prevalence and determinants of comprehensive home and car smoke-free rules. Design A cross-sectional study. Setting Internet survey data with adjustments using inverse probability weighting for ‘being a respondent in an internet survey’. Participants 5600 respondents aged 15–69 years in 2015 were analysed to estimate weighted percentages and prevalence ratios (PRs) with 95% CIs of having comprehensive home and car smoke-free rules. Main outcome measures Respondents who answered ‘smoking is never allowed’ in their home and car were defined as having home and car smoke-free rules. Results Overall, 47.0% (95% CI=45.8% to 48.3%) of respondents implemented comprehensive home and car smoke-free rules. People who agreed with ‘smoking relieves stress’ were less likely to have comprehensive smoke-free rules (PR=0.76, 0.71 to 0.82), especially among ever-users of electronic nicotine delivery systems (PR=0.49, 0.30 to 0.81). Higher education was significantly associated with higher PR for comprehensive smoke-free rules (PR=1.30, 1.19 to 1.41). Living with children was significantly associated with higher PR for smoke-free rules among current smokers than not living with children (PR=2.91, 1.99 to 4.27). Conclusions In Japan, about 50% of respondents had voluntary smoke-free rules in the home and car. Information on current voluntary smoke-free rules will be useful as baseline information on home and car smoke-free status before enforcement of the 2018 Tokyo home and car smoke-free legislation.
Internet-Based Cognitive-Behavioural Intervention for Women with Premenstrual Dysphoric Disorder: A Randomized Controlled Trial

Background: Given the high prevalence of clinically relevant premenstrual symptoms and the associated impairment, there is a need for effective treatments. Initial evidence suggests cognitive-behavioural therapy (CBT) as an effective treatment for premenstrual dysphoric disorder (PMDD). The aim of the current randomized clinical trial was to evaluate an Internet-based CBT (iCBT) to reduce the burden of PMDD. Methods: In all, 174 women with PMDD were recruited via newspaper articles, flyers, and social media. They were randomized to a treatment group (TG; n = 86) or waitlist control group (CG; n = 88). Women of the TG received an 8-week therapist-guided iCBT. Data were assessed before and after treatment/waiting, and 6 months after intervention with prospective symptom diaries and questionnaires in the premenstrual phase. Treatment effects and moderators were analysed using hierarchical linear modelling. Results: Significant time × group interaction effects on functional impairment and psychological impairment, impact on everyday life, symptom intensity, and symptom disability in favour of the TG indicated the efficacy of the treatment. Follow-up assessments demonstrated treatment effects to be stable until 6 months after treatment. Additionally, significant interactions with moderator variables were found. In the TG, higher levels of active coping and lower levels of support-seeking coping were associated with stronger improvement in interference in everyday life and symptom intensity. In addition, lower levels of perceived stress were associated with stronger improvement in functional impairment. Conclusion: The iCBT was highly effective in reducing the burden of PMDD. It appears to be particularly important to address coping styles and stress management in the treatment.
Auditory Gaydar: Perception of Sexual Orientation Based on Female Voice

We investigated auditory gaydar (i.e., the ability to recognize sexual orientation) in female speakers, addressing three related issues: whether auditory gaydar is (1) accurate, (2) language-dependent (i.e., occurs only in some languages, but not in others), and (3) ingroup-specific (i.e., occurs only when listeners judge speakers of their own language, but not when they judge foreign language speakers). In three experiments, we asked Italian, Portuguese, and German participants (total N = 466) to listen to voices of Italian, Portuguese, and German women, and to rate their sexual orientation. Our results showed that auditory gaydar was not accurate; listeners were not able to identify speakers’ sexual orientation correctly. The same pattern emerged consistently across all three languages and when listeners rated foreign-language speakers.
Strategy toward Miniaturized, Self-out-Readable Resonant Cantilever and Integrated Electrostatic Microchannel Separator for Highly Sensitive Airborne Nanoparticle Detection

In this paper, a self-out-readable, miniaturized cantilever resonator for highly sensitive airborne nanoparticle (NP) detection is presented. The cantilever, which is operated in the fundamental in-plane resonance mode, is used as a microbalance with femtogram resolution. To maximize sensitivity and read-out signal amplitude of the piezo-resistive Wheatstone half bridge, the geometric parameters of the sensor design are optimized by finite element modelling (FEM). The electrical read-out of the cantilever movement is realized by piezo-resistive struts at the sides of the cantilever resonator that enable real-time tracking using a phase-locked loop (PLL) circuit. Cantilevers with minimum resonator mass of 1.72 ng and resonance frequency of ~440 kHz were fabricated, providing a theoretical sensitivity of 7.8 fg/Hz. In addition, for electrostatic NP collection, the cantilever has a negative-biased electrode located at its free end. Moreover, the counter-electrode surrounding the cantilever and a µ-channel, guiding the particle-laden air flow towards the cantilever, are integrated with the sensor chip. µ-channels and varying sampling voltages will also be used to accomplish particle separation for size-selective NP detection. To sum up, the presented airborne NP sensor is expected to demonstrate significant improvements in the field of handheld, micro-/nanoelectromechanical systems (M/NEMS)-based NP monitoring devices.
The acceptable noise level: The effect of repeated measurements

Abstract Objective: This study explores if increasing number of repetitions might improve the precision of the acceptable noise level (ANL) test. Design: We measured twelve ANL repetitions, i.e. four complete ANL tests (4 × 3 repetitions), at one session using diotic presentation and a non-semantic ANL version. Study sample: Thirty-two normal-hearing adults. Results: Small order and fatigue effects were seen. We used the coefficient of repeatability (CR) to assess the repeatability; CRs ranged between 3.9 and 7.6 dB for the four ANL tests. Using the twelve ANL repetitions we removed the variability of the ANL across subjects by normalizing the data to the individual mean ANL for the twelve repetitions. The mean normalized ANL across the subjects rapidly approached the ANL normalized to the individual mean for the 12 repetitions (0 dB), and after three repetitions the SD seemed to be stable at about 3 dB. Conclusions: The findings suggest that both order and fatigue affect the ANL. The findings also suggest that it may be more accurate to speak of an acceptable noise range than ANL. These findings have large implications for how we understand acceptable noise and it would explain a large part of the variability seen among normal-hearing and perhaps hearing-impaired subjects.
Nutritional modulation of the epigenome and its implication for future health

Non-communicable diseases (NCD) such as type-2 diabetes and CVD are now highly prevalent in both developed and developing countries. Evidence from both human and animal studies shows that early-life nutrition is an important determinant of NCD risk in later life. The mechanism by which the early-life environment influences future disease risk has been suggested to include the altered epigenetic regulation of gene expression. Epigenetic processes regulate the accessibility of genes to the cellular proteins that control gene transcription, determining where and when a gene is switched on and its level of activity. Epigenetic processes not only play a central role in regulating gene expression but also allow an organism to adapt to the environment. In this review, we will focus on how both maternal and paternal nutrition can alter the epigenome and the evidence that these changes are causally involved in determining future disease risk.
Periprocedural Management of New Oral Anticoagulants in Patients Undergoing Atrial Fibrillation Ablation

A 68-year-old woman with well-controlled hypertension is having 3 to 4 episodes of paroxysmal atrial fibrillation (AF) each month. Despite a ventricular rate of 80 to 100/min while in AF, she complains of palpitations, chest discomfort, and light-headedness. Oral flecainide failed to improve her symptoms, and she refuses to take amiodarone because of concerns about its potential toxicity. She was started on dabigatran (150 mg twice daily) for stroke prevention; her creatinine clearance was calculated at 92 ml/min. AF ablation has been scheduled, and advice is needed regarding periprocedural dabigatran management. AF, the most common cardiac arrhythmia, is a major cause of stroke.1 Although many AF patients are asymptomatic or have adequate symptom palliation with rate-controlling medications, some require treatment strategies aimed at maintaining sinus rhythm. In the United States, it is estimated that >150 000 AF patients undergo catheter ablation each year in an attempt to achieve rhythm control.2 Originally targeted to younger AF patients without structural heart disease, catheter ablation is performed in a broader population now that outcomes have improved. Consequently, the number of ablation procedures performed is expected to increase exponentially over the next decade. Current guidelines recommend anticoagulant prophylaxis in all but the lowest risk AF patients. Until recently, vitamin K antagonists, such as warfarin, were the only option for stroke prevention in such patients. This situation changed with the introduction of new oral anticoagulants (NOACs), which target thrombin or factor Xa. With a more predictable anticoagulant response and shorter half-lives than warfarin, NOACs have the potential to streamline periprocedural management in AF patients undergoing ablation. However, data with NOACs in this setting are limited, and at times contradictory, which complicates their integration into routine practice in patients undergoing catheter ablation. ### Comparison of the Pharmacological Properties of the NOACs With Those of Warfarin NOACs have pharmacological properties that distinguish them from warfarin. These are summarized …
Treatment disparities affect outcomes for patients with stage I esophageal cancer: a national cancer data base analysis.

Background To examine patterns of care and outcomes for patients with stage I esophageal cancer (EC) in the United States. Methods We identified patients in the National Cancer Data Base diagnosed with stage I EC from 2004 to 2012 and grouped them by primary treatment: esophagectomy (Eso), local excision (LE), concurrent chemoradiation (CRT), or observation (Obs). Multinomial logistic regression was used to predict receipt of treatments. Overall survival (OS) was estimated by Kaplan-Meier methods adjusted for inverse probability of treatment weighting (IPTW) and Cox proportional hazard regressions. Results Of 5,480 patients, 2,312 (42%) underwent Eso, 1,250 (23%) LE, 758 (14%) CRT, and 1,160 (21%) Obs. LE use increased over time from 17% to 29% while Obs declined from 26% to 19%. Patients least likely to undergo surgery were older, had greater comorbidity, were uninsured, were treated at non-academic centers, and were Black. The rate of surgery for Black patients was half of that for White patients (33% vs. 67%). Postoperative mortality rates were higher after Eso vs. LE at 30 days (2.9% vs. 0.5%; P<0.001) and at 90 days (5.5% vs. 1.4%, P<0.001). Five-year OS was 59% with Eso, 63% LE, 29% CRT, and 31% Obs (P<0.001). On multivariate analysis, outcomes were best after LE [vs. Eso: hazard ratio (HR) =1.15, 95% CI: 1.01-1.30, P=0.037; CRT: HR =2.41, 95% CI: 2.09-2.78, P<0.001; Obs: HR =3.79, 95% CI: 3.33-4.32, P<0.001). Conclusions Disparities are evident in the care of patients with stage I EC throughout the United States. LE was associated with favorable outcomes compared to Eso, CRT, and Obs.
Adrenoceptors in white, brown, and brite adipocytes

Adrenoceptors play an important role in adipose tissue biology and physiology that includes regulating the synthesis and storage of triglycerides (lipogenesis), the breakdown of stored triglycerides (lipolysis), thermogenesis (heat production), glucose metabolism, and the secretion of adipocyte‐derived hormones that can control whole‐body energy homeostasis. These processes are regulated by the sympathetic nervous system through actions at different adrenoceptor subtypes expressed in adipose tissue depots. In this review, we have highlighted the role of adrenoceptor subtypes in white, brown, and brite adipocytes in both rodents and humans and have included detailed analysis of adrenoceptor expression in human adipose tissue and clonally derived adipocytes. We discuss important considerations when investigating adrenoceptor function in adipose tissue or adipocytes.
Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization

Sparse representation is a powerful statistical technique that has been widely utilized in image restoration applications. In this paper, an improved sparse representation model regularized by a low-rank constraint is proposed for single image deblurring. The key motivation for the proposed model lies in the observation that natural images are full of self-repetitive structures and they can be represented by similar patterns. However, as input images contain noise, blur, and other visual artifacts, extracting nonlocal similarities only with patch clustering algorithms is insufficient. In this paper, we first propose an ensemble dictionary learning method to represent different similar patterns. Then, low-rank embedded regularization is directly imposed on inputs to regularize the desired solution space which favors natural and sharp structures. The proposed method can be optimized by alternatively solving nuclear norm minimization and l1 norm minimization problems to achieve higher restoration quality. Experimental comparisons validate the superior results of the proposed method compared with other deblurring algorithms in terms of visual quality and quantitative metrics.
Comparison of Kinect2Scratch game-based training and therapist-based training for the improvement of upper extremity functions of patients with chronic stroke: a randomized controlled single-blinded trial.

BACKGROUND Virtual reality and interactive video games could decrease the demands on the time of the therapists. However, the cost of a virtual reality system and the requirement for technical support limits the availability of these systems. Commercial exergames are not specifically designed for therapeutic use, most patients with hemiplegic stroke are either too weak to play the games or develop undesirable compensatory movements. AIM To develop Kinect2Scratch games and compare the effects of training with therapist-based training on upper extremity (UE) function of patients with chronic stroke. DESIGN A randomized controlled single-blinded trial. SETTING An outpatient rehabilitation clinic of a tertiary hospital. POPULATIONS Thirty-three patients with chronic hemiplegic stroke. METHODS We developed 8 Kinect2Scratch games. The participants were randomly assigned to either a Kinect2Scratch game group or a therapist-based training group. The training comprised 24 sessions of 30 minutes over 12 weeks. The primary outcome measure was the Fugl-Meyer UE scale and the secondary outcome measures were the Wolf Motor Function Test and Motor Activity Log. Patients were assessed at baseline, after intervention, and at the 3-month follow-up. We used the Pittsburgh participation scale (PPS) to assess the participation level of patients at each training session and an accelerometer to assess the activity counts of the affected UE of patients was used at the 12th and 24th training sessions. RESULTS Seventeen patients were assigned to the Kinect2Scratch group and 16 were assigned to the therapist-based training group. There were no differences between the two groups for any of the outcome measures post-intervention and at the 3-month follow-up (all p>.05). The level of participation was higher in the Kinect2Scratch group than in the therapist-based training group (PPS 5.25vs. 5.00, p=0.112). The total activity counts of the affected UE was significantly higher in the Kinect2Scratch group than in the therapist-based training group (p<.001). CONCLUSIONS Kinect2Scratch game training was feasible, with effects similar to those of therapist-based training on UE function of patients with chronic stroke.
PKA phosphorylation underlies functional recruitment of sarcolemmal SK2 channels in ventricular myocytes from hypertrophic hearts

Small‐conductance Ca2+‐activated K+ (SK) channels expressed in ventricular myocytes are dormant in health, yet become functional in cardiac disease. SK channels are voltage independent and their gating is controlled by intracellular [Ca2+] in a biphasic manner. Submicromolar [Ca2+] activates the channel via constitutively‐bound calmodulin, whereas higher [Ca2+] exerts inhibitory effect during depolarization. Using a rat model of cardiac hypertrophy induced by thoracic aortic banding, we found that functional upregulation of SK2 channels in hypertrophic rat ventricular cardiomyocytes is driven by protein kinase A (PKA) phosphorylation. Using site‐directed mutagenesis, we identified serine‐465 as the site conferring PKA‐dependent effects on SK2 channel function. PKA phosphorylation attenuates ISK rectification by reducing the Ca2+/voltage‐dependent inhibition of SK channels without changing their sensitivity to activating submicromolar [Ca2+]i. This mechanism underlies the functional recruitment of SK channels not only in cardiac disease, but also in normal physiology, contributing to repolarization under conditions of enhanced adrenergic drive.
HRAS‐driven cancer cells are vulnerable to TRPML1 inhibition

By serving as intermediaries between cellular metabolism and the bioenergetic demands of proliferation, endolysosomes allow cancer cells to thrive under normally detrimental conditions. Here, we show that an endolysosomal TRP channel, TRPML1, is necessary for the proliferation of cancer cells that bear activating mutations in HRAS. Expression of MCOLN1, which encodes TRPML1, is significantly elevated in HRAS‐positive tumors and inversely correlated with patient prognosis. Concordantly, MCOLN1 knockdown or TRPML1 inhibition selectively reduces the proliferation of cancer cells that express oncogenic, but not wild‐type, HRAS. Mechanistically, TRPML1 maintains oncogenic HRAS in signaling‐competent nanoclusters at the plasma membrane by mediating cholesterol de‐esterification and transport. TRPML1 inhibition disrupts the distribution and levels of cholesterol and thereby attenuates HRAS nanoclustering and plasma membrane abundance, ERK phosphorylation, and cell proliferation. These findings reveal a selective vulnerability of HRAS‐driven cancers to TRPML1 inhibition, which may be leveraged as an actionable therapeutic strategy.
Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching

In this paper, we propose a disparity refinement method that directly refines the winner-take-all (WTA) disparity map by exploring its statistical significance. According to the primary steps of the segment-based stereo matching, the reference image is over-segmented into superpixels and a disparity plane is fitted for each superpixel by an improved random sample consensus (RANSAC). We design a two-layer optimization to refine the disparity plane. In the global optimization, mean disparities of superpixels are estimated by Markov random field (MRF) inference, and then, a 3D neighborhood system is derived from the mean disparities for occlusion handling. In the local optimization, a probability model exploiting Bayesian inference and Bayesian prediction is adopted and achieves second-order smoothness implicitly among 3D neighbors. The two-layer optimization is a pure disparity refinement method because no correlation information between stereo image pairs is demanded during the refinement. Experimental results on the Middlebury and KITTI datasets demonstrate that the proposed method can perform accurate stereo matching with a faster speed and handle the occlusion effectively. It can be indicated that the “matching cost computation + disparity refinement” framework is a possible solution to produce accurate disparity map at low computational cost.
Vessel-based rigid registration for endovascular therapy of the abdominal aorta

Abstract Background: Combining electromagnetic tracking of instruments with preoperatively acquired images can provide detailed visualization for intraoperative guidance and reduce the need for fluoroscopy and contrast. In this study, we investigated the accuracy of a vessel-based registration method designed for matching preoperative image and electromagnetically tracked positions for endovascular therapy. Material and methods: An open-source registration method was used to match the centerline extracted from computed tomography (CT) to electromagnetically tracked positions within a vascular phantom representing the abdominal aorta with bifurcations. The target registration error (TRE) was calculated for 11 fiducials distributed over the phantom. Median and intra-quartile range (IQR) for 30 registrations was reported. TRE < 5 mm was claimed sufficient for endovascular navigation, evaluated using the Wilcoxon signed-rank test. TRE was also compared to a 3D-3D registration method based on intraoperative cone-beam CT, using the Mann-Whitney U-test. Results: The TRE was 3.75 (IQR: 3.48–3.99) mm for the centerline registration algorithm and 3.21 (IQR: 1.50–3.57) mm for the 3D-3D method (p < .001). For both methods, the TRE was significantly < 5 mm (p < .001). Conclusion: The centerline registration method was feasible, with an accuracy sufficient for navigation in endovascular therapy. The centerline method avoids additional image acquisition for registration purpose only.