Subjective Quality Research Articles

Older adults exercising ON TIME: protocol for a randomized controlled cross-over study to assess the effect of physical activity timing on insomnia severity

BackgroundThere are increased indications that physical activity timing, irrespective of intensity, impacts insomnia and circadian clock function. Here, we describe the rationale and design of a randomized cross-over study, called ON TIME, to examine the effects of (changing) physical activity timing on insomnia severity and on multiple exploratory outcomes that are linked to circadian clock function.MethodsWe will conduct a randomized cross-over trial in 40 healthy older adults (aged 65 to 75 years) with subclinical or clinical insomnia (Insomnia Severity Index (ISI) scores of ≥ 10) from the Dutch municipality of Leiden and surroundings. Participants will undergo 3 intervention periods (14 days each) consecutively: one sedentary period and two periods of increased physical activity (one period with morning activity and one period with evening activity). The intervention periods are separated by a wash-out period of 1 week. In both active intervention arms, participants will follow coached or uncoached outdoor physical exercise sessions comprising endurance, strength, and flexibility exercises for 14 days. The primary outcome is change in insomnia severity as measured by the ISI. Additional exploratory outcomes include multiple components of objective sleep quality measured with tri-axial accelerometry and subjective sleep quality assessed by questionnaires as well as dim light melatonin onset and 24-h rhythms in heart rate, heart rate variability, breathing rate, oxygen saturation, mood, and objective emotional arousal and stress. Additionally, we will collect diary data on eating patterns (timing and composition). Finally, fasting blood samples will be collected at baseline and after each intervention period for measurements of biomarkers of metabolic and physiological functioning and expression of genes involved in regulation of the biological clock.DiscussionWe anticipate that this study will make a significant contribution to the limited knowledge on the effect of physical activity timing. Optimizing physical activity timing has the potential to augment the health benefits of increased physical exercise in the aging population.Trial registrationTrial was approved by the Medical Ethics Committee Leiden, The Hague, Delft, The Netherlands (June, 2023). The trial was registered in the CCMO-register https://www.toetsingonline.nl/to/ccmo_search.nsf/Searchform?OpenForm under study ID NL82335.058.22 and named (“Ouderen op tijd in beweging” or in English “Older adults exercising on time”). At time of manuscript submission, the trial was additionally registered at ClinicalTrials.gov under study ID: NL82335.058.22 and is awaiting approval.

Development of a dry eye index as a new biomarker of dry eye disease.

To evaluate signs and symptoms in patients diagnosed with dry eye disease (DED), divided into dry eye (DE) groups, in order to find a new biomarker that allows an accurate diagnosis, management and classification of DED. This cross-sectional, observational study included 71 DED subjects. Subjective symptoms, visual quality and DE signs were assessed using the Ocular Surface Disease Index (OSDI), the Quality of Vision (QoV) questionnaire, best corrected distance visual acuity (VA), functional visual acuity (FVA), contrast sensitivity (CS), high- and low-order corneal aberrations (HOA and LOA, respectively), tear break-up time (TBUT), Meibomian Gland Dysfunction (MGD), Schirmer test, corneal staining, lid wiper epitheliopathy (LWE) and meibography. Participants were classified into three groups based on dryness severity using a cluster analysis, i.e., mild (N = 17, 55.8 ± 15.4 years), moderate (N = 41, 63.5 ± 10.6 years) and severe (N = 13, 65.0 ± 12.0). A new Dry Eye Severity Index (DESI) based on ocular surface signs has been developed and its association with symptoms, visual quality and signs was assessed. Comparisons between groups were made using Kruskal-Wallis and Chi-squared tests. Spearman correlation analysis was also performed. The DESI was based on three tests for DE signs: TBUT, Schirmer test and MGD. The DESI showed significant differences between different pairs of groups: Mild Dryness versus Moderate Dryness (p < 0.001), Mild Dryness versus Severe Dryness (p < 0.001) and Moderate Dryness versus Severe Dryness (p < 0.001). The DESI was significantly correlated with age (rho = -0.30; p = 0.01), OSDI score (rho = -0.32; p = 0.007), QoV score (rho = -0.35; p = 0.003), VA (rho = -0.34; p = 0.003), FVA (rho = -0.38; p = 0.001) and CS (rho = 0.42; p < 0.001) Also, significant differences between the severity groups were found for OSDI and QoV scores, VA, FVA, CS and MGD (p < 0.05). The DESI has good performance as a biomarker for the diagnosis, classification and management of DED.

Audio–video collaborative JND estimation model for multimedia applications

With the rapid development of the Internet and multimedia technologies, multimedia applications integrating audio and video are becoming increasingly prevalent in both everyday life and professional environments. A critical challenge is to significantly enhance compression efficiency and bandwidth utilization while maintaining high-quality user experiences. To address this challenge, the Just Noticeable Distortion (JND) estimation model, which leverages the perceptual characteristics of the Human Visual System (HVS), is widely used in image and video coding for improved data compression. However, human visual perception is an integrative process that involves both visual and auditory stimuli. Therefore, this paper investigates the influence of audio signals on visual perception and presents a collaborative audio–video JND estimation model tailored for multimedia applications. Specifically, we characterize audio loudness, duration, and energy as temporal perceptual features, while assigning the audio saliency superimposed on the image plane as the spatial perceptual feature. An audio JND adjustment factor is then designed using a segmentation function. Finally, the proposed model combines the video-based JND model with the audio JND adjustment factor to form the audio–video collaborative JND estimation model. Compared with existing JND models, the model presented in this paper achieves the best subjective quality, with an average PSNR value of 26.97 dB. The experimental results confirm that audio significantly impacts human visual perception. The proposed audio–video collaborative JND model effectively enhances the accuracy of JND estimation for multimedia data, thereby improving compression efficiency and maintaining high-quality user experiences.

Higher Levels of Morning and Daytime Light Exposure Associated with Positive Sleep Indices in Professional Team Sport Athletes.

Light exposure techniques have been recommended to combat sleep issues caused by disruption to circadian regularity in the athletic population, although studies are lacking. A total of 17 professional male Australian Football athletes (age ± SD: 22 ± 3 years) wore a wrist actigraph to measure sleep parameters, and a wearable light sensor to measure melanopic equivalent daylight illuminance (mEDI, in lux) for 14 days. Participants completed three sleep questionnaires at the end of the data collection period and completed well-being surveys 6 times. The Sleep Regularity Index (SRI) for each player was also calculated from actigraphy data. Light exposure data were organised into three different timeframes: morning (wake time + 2 hours), daytime (end of morning to 6 pm), and evening (2 hours leading up to bedtime) for analysis. Repeated measures correlation was conducted for objective sleep measures and mEDI values per timeframe. Pearson's correlation was conducted on subjective sleep measures and well-being measures against mEDI values per timeframe. Higher morning light was associated with significantly (p < 0.001) greater total sleep time (r = 0.31). Higher daytime light exposure was associated with higher subjective sleep quality (r = 0.48, p < 0.05). Higher evening light exposure was associated with higher Athlete Sleep Screening Questionnaire (ASSQ) global scores (r = 0.52, p < 0.05). There were no other significant correlations between light exposure and sleep or well-being measures (p > 0.05). Higher morning and daylight exposure levels were associated with various positive objective and subjective sleep measures in professional team sport athletes, supporting the need for education on optimising light exposure to improve circadian function, sleep, and health.

The Impact of Night Work on the Sleep and Health of Medical Staff-A Review of the Latest Scientific Reports.

Introduction: Employees working in shifts are exposed to many threats affecting their health, quality of life and safety at work. Those who perform their work only at night are particularly vulnerable. The purpose of the review is to identify risks to the health, quality of life and sleep of shift health workers. Method: A systematic review (SR) was used in the analysis. Electronic databases were searched. The search was limited to the latest studies published in the last five years: 2019-2023. Results: Finally, 36 articles were included in the review. Most authors have shown a link between sleep disturbance or its quality and shift work/night work. Moreover, a three-shift schedule was the most significant factor for poorer subjective sleep quality when compared to other work schedules. Furthermore, many authors have shown a link between shift/night work and health problems, which include cardiometabolic risk, glucose intolerance, breast cancer and immune vulnerability. Conclusions: The research results clearly show a significant impact of night work on the increased risk of sleep disorders and health disturbance. Healthcare workers should be aware of the risks associated with night work in order to take measures preventing sleep/health problems. Shift/night workers should have the opportunity to be screened for disorders linked with their work.

Refining CycleGAN with attention mechanisms and age-Aware training for realistic Deepfakes

In the evolving landscape of deep learning technologies, the emergence of Deepfakes and synthetic media is becoming increasingly prominent within digital media production. This research addresses the limitations inherent in existing face image generation algorithms based on Generative Adversarial Networks (GAN), particularly the challenges of domain irrelevancy and inadequate facial detail representation. The study introduces an enhanced face image generation algorithm, aiming to refine the CycleGAN framework. The enhancement involves a two-fold strategy: firstly, the generator's architecture is refined through the integration of an attention mechanism and adaptive residual blocks, enabling the extraction of more nuanced facial features. Secondly, the discriminator's accuracy in distinguishing real from synthetic images is improved by incorporating a relative loss concept into the loss function. Additionally, this study presents a novel model training approach that incorporates age constraints, thereby mitigating the effects of age variations on the synthesized images. The effectiveness of the proposed algorithm is empirically validated through comparative analysis with existing methodologies, utilizing the CelebA dataset. The results demonstrate that the proposed algorithm significantly enhances the realism of generated face images, outperforming current methods in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM), while also achieving notable improvements in subjective visual quality. The implementation of this advanced method is anticipated to substantially elevate the efficiency and quality of digital media production, contributing positively to the broader field of digital media creation.

Pose-Driven Compression for Dynamic 3D Human via Human Prior Models.

To cost-effectively transmit high-quality dynamic 3D human images in immersive multimedia applications, efficient data compression is crucial. Unlike existing methods that focus on reducing signal-level reconstruction errors, we propose the first dynamic 3D human compression framework based on human priors. The layered coding architecture significantly enhances the perceptual quality while also supporting a variety of downstream tasks, including visual analysis and content editing. Specifically, a high-fidelity pose-driven Avatar is generated from the original frames as the basic structure layer to implicitly represent the human shape. Then, human movements between frames are parameterized via a commonly-used human prior model, i.e., the Skinned Multi-Person Linear Model (SMPL), to form the motion layer and drive the Avatar. Furthermore, the normals are also introduced as an enhancement layer to preserve fine-grained geometric details. Finally, the Avatar, SMPL parameters, and normal maps are efficiently compressed into layered semantic bitstreams. Extensive qualitative and quantitative experiments show that the proposed framework remarkably outperforms other state-of-the-art 3D codecs in terms of subjective quality with only a few bits. More notably, as the size or frame number of the 3D human sequence increases, the superiority of our framework in perceptual quality becomes more significant while saving more bitrates.

Contrast enhancement boost improves the image quality of CT angiography derived from 80-kVp cerebral CT perfusion data

Rationale and objectiveTo investigate the impact of the contrast enhancement boost (CE-boost) technique on the image quality of CT angiography (CTA) derived from 80-kVp cerebral CT perfusion (CTP) data, and to compare it with conventional CTApeak as well as other currently employed methods for enhancing CTA images, such as CTAtMIP and CTAtAve extracted from CTP.Materials and methodsThe data of forty-seven patients who underwent CTP at 80 kVp were retrospectively collected. Four sets of images: CTApeak, CTAtMIP, CTAtAve, and CE-boost images. The CTApeak image represents the arterial phase at its peak value, captured as a single time point. CTAtMIP and CTAtAve are 4D CTA images that provide maximum density projection and average images from the three most prominent time points. CE-boost is a postprocessing technique used to enhance contrast in the arterial phase at its peak value. We compared the average CT value, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the internal carotid artery (ICA) and basilar artery (BA) among the four groups. Image quality was evaluated using a 5-point scale.ResultsThe CE-boost demonstrated and CNR in the ICA and BA (all p < 0.001). Compared with the other three CTA reconstructed images, the CE-boost images had the best subjective image quality, with the highest scores of 4.77 ± 0.43 and 4.87 ± 0.34 for each reader (all p < 0.001).ConclusionCompared with other currently used techniques,CE-boost enhances the image quality of CTA derived from 80-kVp CTP data, leading to improved visualization of intracranial arteries.

The effects of time-restricted eating on sleep in adults: a systematic review of randomized controlled trials.

Time-restricted eating (TRE), a dietary pattern reducing the duration of daily food consumption, has recently gained popularity. Existing studies show the potential benefits of TRE for cardiometabolic health. Uncertainty remains about whether these benefits are solely from altered meal timing or influences on other health behaviors, including sleep. Despite growing scientific interest in the effects of TRE on sleep parameters, the topic has not been systematically explored. This review examined the effects of TRE interventions (daily fasting duration ≥14 h) lasting at least 8 weeks on objective and subjective sleep parameters. Six randomized control trials were identified through Pubmed, Embase, Google Scholar, and Scopus through September 2023. Of the included studies, three employed objective sleep measures using wearables and five studies assessed sleep subjectively through self-report questionnaires. Only one study reported significant improvements in subjective sleep quality following a TRE intervention. Additionally, one study found significant decreases in sleep duration, two studies found significant decreases in sleep efficiency, and one found significant increases in sleep onset latency. Current evidence indicates that short to mid-term TRE does not typically worsen sleep parameters. However, some populations may experience reduced sleep disturbances, while others may experience reductions in sleep efficiency. Longer duration studies with objective sleep assessments are needed to better understand the effects of TRE on sleep parameters.

The great recession, neurotic personality, and subjective sleep quality among patients with mood disorders

Previous studies exploring the effects of the business cycle on sleep have mostly focused on the general population, and their results have been inconclusive. This study aimed to explore the effects of the 2008 economic crisis and personality traits on the subjective sleep quality of outpatients with mood disorders. In this cross-sectional study, patients with mood disorders were recruited from two medical centers and a psychiatric hospital. Socio-demographics, the Eysenck Personality Questionnaire-Revised, and the Pittsburgh Sleep Quality Index (PSQI) were collected through in-person interviews. Candidate predictors significantly associated with PSQI scores in univariate analysis were included in a multiple linear regression model. There were 334 participants; 29% had unipolar depression, and 71% had bipolar affective disorder. The average PSQI score was 11.0 (±4.0). A higher degree of neuroticism [β(se) = 0.49 (0.07), p < 0.001] and recession period (vs. recovery period) [β(se) = 1.72 (0.47), p < 0.001] were associated with a higher PSQI score after adjusting for education, occupational class, and diagnosis. In conclusion, neuroticism and macroeconomy were independent predictors of subjective sleep quality in patients with mood disorders. This study suggests that large-scale economic crises have negative impacts on the sleep health of high-risk clinical populations.

Sleep Characteristics in Dance Students Related to Psychological Inflexibility.

Introduction: Dance, as a performance activity, is associated with various problems. Among these challenges, sleep disturbances are notably prevalent. Aims: This study aimed to explore the potential relationship between sleep characteristics-specifically chronotype and subjective sleep quality- and psychological inflexibility in dance students. Methods: This research adopted a cross-sectional design using non-probabilistic sampling. The data were collected in paper format by visiting public conservatories and private academies, and online. One hundred fourteen dance students, with a mean age of 23.87 years, participated in the study. Assessment tools included the Acceptance and Action Questionnaire-II, Pittsburgh Sleep Quality Index, and the Composite Scale of Morningness. Results: The results revealed that 80.7% of all students reported poor sleep quality, compared to 19.3% who reported good sleep quality. Differences emerged in both subjective sleep quality (F(2, 113) = 4.825, P = .010) and chronotype (F(2, 113) = 6.172, P = .003) when students were grouped according to low, medium, or high levels of psychological inflexibility. Those with low inflexibility, as opposed to those with high inflexibility, report better sleep quality, with no differences observed between medium and high inflexibility groups. Students with high-medium levels of psychological inflexibility showed a higher risk (OR = 6.373 times higher) of experiencing poor sleep quality compared to those with low psychological inflexibility. In terms of chronotype, the low inflexibility group is inclined to be more of a morning type than the medium and high inflexibility groups, with no differences between the latter 2 groups. Students categorized as having low inflexibility tend to have a longer history of dancing under the guidance of a teacher and dedicate more hours and days per week to rehearsal. Conclusion: Conservatories can become "healthy spaces." In this regard, sleep hygiene programs and Acceptance and Commitment Therapy interventions can provide guidance to professionals working with dancers in professional companies and conservatories.

Relationship between night eating syndrome and sleep quality among university students in Palestine

BackgroundNight eating syndrome (NES) is an eating disorder in which at least one-third of one’s daily caloric intake is consumed after the last meal of the day or throughout the nocturnal evening on at least two consecutive occasions each week. In the literature, the prevalence of NES among university students ranged from 4.2 to 15%.AimThe purpose of this study was to find out how common NES is among Palestinian university students, as well as the association between NES, sleep quality, BMI, socioeconomic factors, and lifestyle factors.MethodsStudents from An-Najah National University completed an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Eating Questionnaire (NEQ) were employed.ResultsA total of 333 participants took part in the study. The average age of the participants was 21.66 years (range: 16 to 33). The presence of NES was identified in 82.6% of the study subjects. There was no evidence of a link between NES and BMI, sociodemographic variables, or lifestyle factors. Higher scores on subjective sleep quality (p < .01), sleep latency (p < .01), and daytime dysfunction (p < .05) scores were found to be linked with NES. Additional to this, the NEQ scores were shown to be substantially connected with these scores, as well as the sleep duration scores (p < .05). Subjective sleep quality (p < .01) and sleep latency (p < .01) were revealed to be significant predictors of the NEQ score.ConclusionNES was significantly related to sleep quality subscales among Palestinian university students. Moreover, subjective sleep quality and sleep latency predicted NEQ score.

Stroke Evaluation in the Interventional Suite Using Dual-Layer Detector Cone-Beam CT: aFirst-in-human Prospective Cohort Study (the Next GenerationX-ray Imaging System Trial).

Cone-beam CT in the interventional suite could be an alternative to CT to shorten door-to-thrombectomy time. However, image quality in cone-beam CT is limited by artifacts and poor differentiation between gray and white matter. This study compared non-contrast brain dual-layer cone-beam CT in the interventional suite to reference standard CT in stroke patients. Aprospective single-center study enrolled consecutive participants with ischemic or hemorrhagic stroke. The hemorrhage detection accuracy, per-region ASPECTS accuracy and subjective image quality (Likert scales for gray-white matter differentiation, structure perception and artifacts) were assessed by three neuroradiologists blinded to clinical data on dual-layer cone-beam CT 75 keV monoenergetic images compared to CT. Objective image quality was assessed by region-of-interest metrics. Non-inferiority for hemorrhage detection and ASPECTS accuracy was determined by the exact binomial test with aone-sided lower performance boundary prospectively set to 80% (98.75% CI). 27participants were included (74years ± 9; 19female) in the hyperacute or acute stroke phase. One reader missed asmall bleeding, but all hemorrhages were detected in the majority analysis (100% accuracy, CI lower boundary 86%, p = 0.002). ASPECTS majority analysis showed 90% accuracy (CI lower boundary 85%, p < 0.001). Sensitivity was 66% (individual readers 67%, 69%, and 76%), specificity was 97% (97%, 96%, 89%). Subjective and objective image quality were inferior to CT. In asmall single-center cohort, dual-layer cone-beam CT showed non-inferior hemorrhage detection and ASPECTS accuracy to CT. Despite inferior image quality, the technique may be useful for stroke evaluation in the interventional suite. NCT04571099 (clinicaltrials.gov). Prospectively registered 2020-09-04.

Influences of noise reduction on speech intelligibility, listening effort, and sound quality among adults with severe to profound hearing loss.

Noise reduction (NR) algorithms have been integrated into modern digital hearing aids to reduce noise annoyance and enhance speech intelligibility. This study aimed to evaluate the influences of a novel hearing aid NR algorithm on individuals with severe-to-profound hearing loss. Twenty-five participants with severe-to-profound bilateral sensorineural hearing loss underwent three tests (speech intelligibility, listening effort, and subjective sound quality in noise) to investigate the influences of NR. All three tests were performed under three NR strength levels (Off, Moderate, and Strong) for both speech in noise program (SpiN) and speech in loud noise program (SpiLN), comprising six different hearing aid conditions. NR activation significantly reduced listening effort. Subjective sound quality assessments also exhibited benefits of activated NR in terms of noise suppression, listening comfort, satisfaction, and speech clarity. Individuals with severe-to-profound hearing loss still experienced advantages from NR technology in both listening effort measure and subjective sound quality assessments. Importantly, these benefits did not adversely affect speech intelligibility.

Improving image quality and in-stent restenosis diagnosis with high-resolution "double-low" coronary CT angiography in patients after percutaneous coronary intervention.

This study aims to investigate the image quality of a high-resolution, low-dose coronary CT angiography (CCTA) with deep learning image reconstruction (DLIR) and second-generation motion correction algorithms, namely, SnapShot Freeze 2 (SSF2) algorithm, and its diagnostic accuracy for in-stent restenosis (ISR) in patients after percutaneous coronary intervention (PCI), in comparison with standard-dose CCTA with high-definition mode reconstructed by adaptive statistical iterative reconstruction Veo algorithm (ASIR-V) and the first-generation motion correction algorithm, namely, SnapShot Freeze 1 (SSF1). Patients after PCI and suspected of having ISR scheduled for high-resolution CCTA (randomly for 100 kVp low-dose CCTA or 120 kVp standard-dose) and invasive coronary angiography (ICA) were prospectively enrolled in this study. After the basic information pairing, a total of 105 patients were divided into the LD group (60 patients underwent 100 kVp low-dose CCTA reconstructed with DLIR and SSF2) and the SD group (45 patients underwent 120 kVp standard-dose CCTA reconstructed with ASIR-V and SSF1). Radiation and contrast medium doses, objective image quality including CT value, image noise (standard deviation), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for the aorta, left main artery (LMA), left ascending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA) of the two groups were compared. A five-point scoring system was used for the overall image quality and stent appearance evaluation. Binary ISR was defined as an in-stent neointimal proliferation with diameter stenosis ≥50% to assess the diagnostic performance between the LD group and SD group with ICA as the standard reference. The LD group achieved better objective and subjective image quality than that of the SD group even with 39.1% radiation dose reduction and 28.0% contrast media reduction. The LD group improved the diagnostic accuracy for coronary ISR to 94.2% from the 83.8% of the SD group on the stent level and decreased the ratio of false-positive cases by 19.2%. Compared with standard-dose CCTA with ASIR-V and SSF1, the high-resolution, low-dose CCTA with DLIR and SSF2 reconstruction algorithms further improves the image quality and diagnostic performance for coronary ISR at 39.1% radiation dose reduction and 28.0% contrast dose reduction.

Influence of Intravenous Magnesium Sulfate Infusion on the Subjective Postoperative Quality of Recovery: A Meta-Analysis of Randomized Controlled Trials.

This meta-analysis investigated the effects of intravenous magnesium sulfate on the postoperative recovery quality, as assessed using the Quality of Recovery (QoR) questionnaire, in adult surgical patients. Seven randomized controlled trials involving 622 patients were included. Compared with the placebo, magnesium sulfate significantly improved the global QoR score on postoperative day 1 (standardized mean difference [SMD]: 1.24; 95% confidence interval: 0.70-1.78; p < 0.00001). It also enhanced specific QoR dimensions, with substantial effects on pain (SMD: 1, p < 0.00001) and physical comfort (SMD: 0.85, p < 0.0001), a moderate effect on emotional state (SMD: 0.65, p = 0.002), and small improvements in physical independence (SMD: 0.43, p < 0.00001) and psychological support (SMD: 0.37, p < 0.0001). In addition, magnesium sulfate reduced the intraoperative opioid consumption (SMD: -0.66, p < 0.0001), postoperative pain severity, and the incidence of postoperative nausea and vomiting (risk ratio: 0.48, p = 0.008). The extubation times were unaffected, whereas the post-anesthesia care unit stay was slightly prolonged. These findings highlight the potential of magnesium sulfate as a valuable adjunct for multimodal analgesia and enhanced recovery. Future studies should aim to elucidate the optimal dosing strategies, timing of administration, and specific surgical populations that may derive maximum benefits.

Quality of life and tolerability of B-cell directed therapy of multiple sclerosis with ofatumumab in a patient-centered real-world observational study

IntroductionOfatumumab (Kesimpta®) is a subcutaneous CD20-targeting antibody approved in Germany in 2021 for the treatment of relapsing multiple sclerosis (RMS). After careful instruction, patients can administer the treatment themselves. We previously reported data of 101 patients (Klimas et al. in Nervenarzt 94:923–933, 2023). The objective of this longitudinal study is to explore the tolerability and acceptability of ofatumumab from a patient perspective over a follow up period of 6 months.MethodsIn this prospective observational real-world study, we report follow up data of 81 patients. We evaluated sociodemographic data, disease duration, duration and side effects of ofatumumab use, expanded disability status scale (EDSS), Beck Depression Inventory II (BDI-II), Short-Form 36 (SF-36), Fatigue Scale of Motor and Cognitive Functions (FSMC), and modified Multiple Sclerosis Functional Composite Test (MSFC). In addition, we asked for subjective treatment outcomes, such as impact on quality of life, walking distance, concentration, mood, medication adherence, fatigue and the subjective course of MS on a numerical rating scale (1 = very negative; 5 = very positive). Furthermore, treatment discontinuations were recorded.ResultsThe average duration of ofatumumab treatment was 10 months. In comparison to previous published data of our cohort, patients reported a significant increase in headache (10% up to 26%, p = 0.004) and limb pain (5% up to 26%, p < 0.001) as persistent side effects after the injections. More patients reported a very positive effect (p < 0.0001) on quality of life. 4 confirmed relapses occurred but no EDSS worsening, and no treatment discontinuations were documented during the observation period.DiscussionAs previously described, our prospective study indicates that patients have a good tolerability of ofatumumab, precisely because of the mild and few side effects at the first administration. However, the longer the observation period, the more headaches and limb pain occurred after the injections. Despite this, patients’ subjective quality of life improved. There were no discontinuations during the follow-up period, with the limitation of a high loss to follow-up.

Video Gaming in Older People: What Are the Implications for Cognitive Functions?

Mild cognitive impairment impacts a sizable segment of the older population, and often evolves into dementia within a few years. At this stage, subjects may benefit from non-pharmacological therapies that can delay or stop the progression of the mild cognitive impairment into dementia and are crucial for improvement in the subject's quality of life, while also being easily accessible and safe for use. Many research studies have shown that a variety of exercises, including cognitive training, have the potential to enhance or optimize cognitive function and general well-being. Recently, many authors have suggested video games as a promising approach for cognitive training and neurorehabilitation in older people, thanks to their increasing motivation and training effects through immersion in stimulating environments. Under this premise, our narrative review's objective is to discuss and summarize the body of existing material on the role of video games in improving cognitive performance, daily life activities, and depression symptoms in older individuals with different levels of cognitive decline. From the papers reviewed, it emerged that older subjects trained with video games showed a significant improvement in cognitive functions, sleep quality, and psychiatric symptoms, positioning video games as an intriguing and useful tool.

Effectiveness of Pranic Healing as complementary therapy on lower urinary tract symptoms and sleep: Single-blind randomized trial

BackgroundBenign Prostatic Hyperplasia (BPH) commonly affects older men, leading to lower urinary tract symptoms (LUTS) that affect sleep and quality of life. This study evaluates the effect of Pranic Healing (PH) as a complementary therapy for bothersome LUTS by normalising biofield energy centres called Chakras. MethodologyA single blind trial involving 76 men with LUTS was conducted, randomised into Medication-only (MED) and Medication-plus-Pranic Healing (MEDPH) groups. The MEDPH received PH sessions twice weekly for 5 weeks. ResultsThe study compared MED (n = 30) and MEDPH (n = 36) participants, finding significant improvements in IPSS scores (p ≤ .001) in both groups. The MEDPH group showed a greater reduction in incomplete bladder emptying and intermittency. The post void residual volume increased significantly in the MED group (Wilcoxon Z = −2.335, p = .02), while the MEDPH group reduced non-significantly. Sleep quality index improved significantly (McNemar=.013) in the MEDPH group, while the MED group showed no significant change. Subjective sleep quality, duration, and latency improved significantly in the MEDPH group. Healers reported improved energy balance in chakras of MEDPH group. Perceived energy by healers in lower chakra relates to urinary parameters. ConclusionPH could alleviate LUTS, enhancing quality of life due to urination, and improved sleep, among moderate BPH patients. Trial registrationThis study has been registered under the Clinical Trial Registry of India. (CTRI No: CTRI/2023/01/049004)

A noise-reduction algorithm for raw 3D point cloud data of asphalt pavement surface texture

High-precision 3D point cloud data have various analyses and application use cases. This study aimed to achieve a more precise noise reduction of the raw 3D point cloud data of asphalt pavements obtained using 3D laser scanning. Hence, a noise-reduction algorithm integrating improved Gaussian filtering and coefficient of variation was developed. A portable laser scanner was used to collect raw, high-precision 3D point cloud data of surface textures from pavement slab samples prepared with three different types of asphalt mixtures: AC-13, SMA-13, and OGFC-13, as well as asphalt from the test sections of the Yakang Expressway. An improved Gaussian filtering and Gaussian filtering that extracts noise using the coefficient of variation were used to filter out the obvious outlier noise and small-scale burr noise, respectively. Finally, the filtering effect of the proposed algorithm, Gaussian filtering, median filtering, and mean filtering on raw 3D point cloud data of pavement textures was evaluated through subjective visual quality and objective index evaluations. The results showed that the proposed algorithm filters out noise while preserving the micro-texture structure information, outperforming Gaussian filtering, median filtering, and mean filtering.