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Kunnen vrouwen en meisjes nog veilig naar buiten?
No full textSinds de moord op de zeventienjarige Lisa uit Abcoude krijgt professor Janine Janssen veel vragen van journalisten, vrouwen en meisjes die zich afvragen of ze nog wel veilig naar buiten kunnen. De vragen zijn indringend en urgent. Ze raken aan een fundamenteel recht: het recht op vrijheid van beweging zonder angst
An experimental study on the effect of symptom expectations on mental fatigue and motivation in people with primary biliary cholangitis
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Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
No full textGravitational wave (GW) detectors, such as LIGO, Virgo, and KAGRA, detect faint signals from distant astrophysical events. However, their high sensitivity also makes them susceptible to background noise, which can obscure these signals. This noise often includes transient artifacts called “glitches” that can mimic genuine astrophysical signals or mask their true characteristics. In this study, we present DeepExtractor, a deep learning framework that is designed to reconstruct signals and glitches with power exceeding interferometer noise, regardless of their source. We design DeepExtractor to model the inherent noise distribution of GW detectors, following conventional assumptions that the noise is Gaussian and stationary over short timescales. It operates by predicting and subtracting the noise component of the data, retaining only the clean reconstruction of the signal or glitch. We focus on applications related to glitches and validate DeepExtractor’s effectiveness through three experiments: (1) reconstructing simulated glitches injected into simulated detector noise, (2) comparing its performance with the state-of-the-art BayesWave algorithm, and (3) analyzing real data from the Gravity Spy dataset to demonstrate effective glitch subtraction from LIGO strain data. We further demonstrate its potential by reconstructing three real GW events from LIGO’s third observing run, without being trained on GW waveforms. Our proposed model achieves a median mismatch of only 0.9% for simulated glitches, outperforming several deep learning baselines. Additionally, DeepExtractor surpasses BayesWave in glitch recovery, offering a dramatic computational speedup by reconstructing one glitch sample in approximately 0.1 s on a CPU, compared to BayesWave’s processing time of approximately one hour per glitch
Effectiveness of Nonsurgical Interventions for Patients With Acute and Subacute Sciatica:A Systematic Review With Network Meta-Analysis
No full text OBJECTIVE: To investigate the comparative effectiveness of nonsurgical interventions for adults with acute and subacute sciatica. DESIGN: Intervention systematic review with network meta-analysis LITERATURE SEARCH: Embase, MEDLINE, Cochrane Library, and CINAHL were searched up to June 7, 2024. STUDY SELECTION CRITERIA: Randomized controlled trials of nonsurgical interventions in adults (aged 18 years or older) with acute or subacute sciatica (less than 3 months) were included. DATA SYNTHESIS: The primary outcomes were leg pain intensity and physical function at different follow-up time points. Secondary outcomes were adverse events, mental health, and low back pain intensity. Two reviewers independently conducted screening, data extraction, and risk-of-bias assessment. Random-effects network meta-analysis was conducted, and confidence was evaluated by the Confidence in Network Meta-Analysis (CINeMA) method. RESULTS: Forty randomized controlled trials (5381 participants) were included. At short-term follow-up, compared to sham treatment/placebo, the most efficacious interventions for leg pain intensity were NSAIDs + physical therapy modalities, antibiotics, and antidepressants. Music therapy was effective for improving physical function at short-term follow-up. At long-term follow-up, steroids had a significant effect in reducing leg pain and improving physical function. No intervention showed a significant increase in adverse events compared with sham-treatment/placebo. All the evidence was based on very low confidence, primarily due to within-study bias and imprecision in effect estimates. CONCLUSIONS: Very low-confidence evidence supported some nonsurgical interventions for improving leg pain intensity and physical function in people with acute and subacute sciatica. J Orthop Sports Phys Ther 2025;55(6):1-12. Epub 25 April 2025. doi:10.2519/jospt.2025.13068. </p
The Intention to Use E-mental Health Applications among People with Non-western Migration Backgrounds
No full textThe effect of different resistance exercise training intensities on cardiovascular risk factors:a systematic review and meta-analysis
No full textResistance training effectively reduces cardiovascular risk factors (CVRFs). However, the optimal training intensity remains unclear. Firstly, this systematic review investigated the effects of different resistance training intensities on glycated haemoglobin (HbA1c), systolic blood pressure (SBP), low-density lipoprotein (LDL), and waist-to-hip ratio (WHR). Secondly, we aimed to compare the effect of different resistance training intensities with each other. We identified randomized controlled trials ( n = 59) investigating progressive ( n = 9), low ( n = 15), moderate ( n = 33), and high intensity ( n = 4) resistance training in adults with CVRFs. We used random-effects models to investigate the effects of each intensity on CVRFs compared to non-active controls and meta-regression analyses to investigate differences in effect between training intensities. Meta-analyses showed statistically significant effects of low to moderate certainty. Progressive intensity reduced SBP {-14.70 mm/Hg, 95% confidence interval [CI] (-16.40; -13.00)} and LDL [-0.16 mmol/L, 95% CI (-0.19; -0.13)]. High intensity reduced HbA1c [-0.81%, 95% CI (-1.52; -0.10)], low intensity LDL [-0.10 mmol/L, 95% CI (-0.16; -0.04)], and moderate intensity WHR [-0.02, 95% CI (-0.03; -0.01)] and HbA1c [-0.40%, 95% CI (-0.66; -0.14)]. Meta-regression analyses showed high intensity was significantly more effective in reducing WHR than low intensity. No significant differences were found between resistance training intensities for HbA1c, SBP, and LDL. In one study, high intensity was more effective than low intensity in reducing WHR. However, the limited number of studies investigating high and progressive intensity and the certainty of evidence limits the ability for definitive conclusions. More research is needed for clarification on the effect of different resistance training intensities on multiple CVRFs. </p