High Quality Research Articles

Effects of essential caregiver policies on COVID-19 and non-COVID-19 deaths in nursing homes.

Federal authorities banned nursing home visitation in the early days of the coronavirus disease 2019 (COVID-19) pandemic. However, there was growing concern that physical isolation may have unintended harms on nursing home residents. Thus, nursing homes and policymakers faced a tradeoff between minimizing COVID-19 outbreaks and limiting the unintended harms. Between June 2020 and January 2021, 17 states implemented Essential Caregiver policies (ECPs) allowing nursing home visitation by designated family members or friends under controlled circumstances. Using the Nursing Home COVID-19 Public File and other relevant data, we analyze the effects of ECPs on deaths among nursing home residents. We exploit variation in the existence of ECPs across states and over time, finding that these policies effectively reduce both non-COVID-19 and COVID-19 deaths, resulting in a decrease in total deaths. These effects are larger for states that implemented policies mandatorily or without restrictions, indicating a dose-response relationship. These policies reduce non-COVID-19 deaths in facilities with higher quality or staffing levels, while reducing COVID-19 deaths in facilities with lower quality or staffing levels. Our findings support the use and expansion of ECPs to balance resident safety and the need for social interaction and informal care during future pandemics.

Quality and Readability of Online Educational Mohs Micrographic Surgery Resources.

As internet access continues to expand, online health care information is increasingly influencing patient decisions. Mohs micrographic surgery (MMS) is commonly used in the field of dermatology but may be unfamiliar to many patients. The purpose of this study was to identify and analyze online educational resources regarding MMS and learn how to optimize the understanding and informational content of MMS for patients and their families. Thirty-two websites were evaluated for authorship, quality, and readability using DISCERN, JAMA Benchmark Criteria, and Flesch-Kincaid tests. Physician-authored content showed a trend toward higher quality ( p = .058). Google scored higher in specific DISCERN questions when overlapping websites were excluded. Bing scored higher in JAMA criteria ( p = .03) in criteria such as authorship and currency. Higher DISCERN scores correlated with lower readability. Physician involvement improves content quality, raising questions about physicians' responsibility in online resource creation. Correlations between content quality and readability highlight potential challenges for certain demographics. Balancing medical accuracy with comprehensibility is crucial for equitable patient education. This study underscores the need to refine online resources, ensuring accurate, transparent, and accessible health care information.

Evaluation of Entropy-Coupled Multi-Criteria Decision-Making Methods for Enhancing Machinability

Optimizing machining parameters is crucial, enhancing machinability while maintaining high product quality standards. This study bridges a critical research gap by evaluating and comparing five Taguchi-based Multi-Criteria Decision Making (MCDM) techniques—Combined Compromised Solution (CoCoSo), Grey Relational Analysis (GRA), Multi-Objective Optimization Ratio Analysis (MOORA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Complex Proportional Assessment (COPRAS)—coupled with the Entropy method to optimize machining parameters for enhancing machinability in turning medium carbon steel. The focus is on feed rate and cutting speed under dry and Minimum Quantity Lubrication (MQL) environments considering six critical machining responses: material removal rate, surface roughness, main cutting force, cutting temperature, cutting ratio, and tool life.The results reveal that MQL consistently improves machining performance, with COPRAS, TOPSIS, MOORA, and GRA converging on an optimal setting favoring an MQL environment, a 0.14 mm/rev feed rate, and a cutting speed of 137 m/min, whereas CoCoSo suggests a different optimal parameter setting. CoCoSo and GRA demonstrate the highest reliability, evidenced by minimal discrepancies between predicted and experimental results, with absolute percentage errors of 0.647% and 0.659%, respectively. The COPRAS method also shows strong predictive accuracy with a 5.573% error, outperforming MOORA and TOPSIS. Spearman’s rank correlation analysis reveals a high agreement between COPRAS, MOORA, and TOPSIS, with COPRAS emerging as a potential replacement for the latter in similar decision-making scenarios. SEM and EDX analyses confirm that MQL conditions reduce tool wear, enhance surface quality, and extend tool life compared to dry machining. This research provides insights into effective parameter optimization strategies for improving machinability and underscores the benefits of adopting MQL for sustainable manufacturing processes.

Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition

Face recognition (FR) technologies have enabled many life-enriching applications but have also opened doors for potential misuse. Governments, private companies, or even individuals can scrape the web, collect facial images, and build a face database to fuel the FR system to identify human faces without their consent. This paper introduces PMask to combat such a privacy threat against unauthorized FR. It provides a holistic approach to enable privacy-preserving sharing of facial images. PMask preprocesses the facial image and hides its unique facial signature through iterative optimization with dual goals: (i) minimizing the amount of noise to ensure high image quality and (ii) minimizing the perception loss between the privacy-protected face and the original face to ensure the face is recognizable to be the same person by humans. Extensive experiments are conducted on eight representative FR models to evaluate PMask against unauthorized FR. The results validate that PMask provides much stronger protection, introduces less perceptible changes to facial images, and runs faster than state-of-the-art methods to provide privacy protection with a better user experience.

Exoscope-assisted surgery in otology and neurotology.

This review addresses the pressing need for an updated understanding of high-definition 3D exoscope role in contemporary otologic and neurotologic practice. With technological advancements driving innovations in surgical visualization, it is crucial to evaluate the efficacy of exoscope-assisted surgery compared to traditional microscopic approaches. By synthesizing recent literature, this review offers insights into the current state of exoscopic ear and lateral skull base surgery and its implications for clinical practice and research. Recent literature has focused on several key themes. Firstly, studies have demonstrated the feasibility and safety of exoscopic approaches for various otologic and neurotologic procedures. Secondly, comparative studies have highlighted similar outcomes with exoscopic techniques compared to conventional microscopic surgery, particularly in terms of operative time and complication rates. Thirdly, the exoscope can be a valuable tool for the education and training of surgeons. The findings from recent literature underscore the growing significance of exoscope-assisted surgery in otology and lateral skull base practice. However, challenges such as high magnification image quality and learning curve must be addressed to optimize its widespread adoption. Overall, this review highlights the importance of continued research and innovation in this rapidly evolving field.

Impact of short abstinence versus testicular sperm on sperm DNA fragmentation: a systematic review and meta-analysis.

Optimal sperm DNA integrity is essential for fertilization and embryo health. Research indicates that testicular sperm (TS), obtained via TESA or TESE, typically show lower sperm DNA fragmentation (SDF) than ejaculated sperm after standard abstinence. Shortening abstinence to less than 2days might reduce SDF, offering a less invasive and more cost-effective alternative to surgical sperm retrieval. Yet, no studies have directly compared the efficacy of shorter abstinence against TS extraction for lowering SDF. Our meta-analysis aims to address this gap by comparing SDF levels in TS to those in ejaculated sperm after a short abstinence period. Meta-analysis of 16 randomized controlled and prospective observational studies included 4 on TS and 12 on short abstinence ejaculation. The meta-analysis followed MOOSE guidelines, scrutinizing databases including Cochrane Library, Web of Science, Embase, MEDLINE(R), and PUMBED up to November 16, 2023. The analysis was conducted using RevMan. The observational studies' methodological quality was assessed using the Newcastle-Ottawa Scale, and the overall evidence quality was evaluated following the GRADE criteria. To compare short ejaculation duration and TS (are not directly compared in the literature) for SDF levels, we analyzed relevant data from studies of each method. We adjusted the participant numbers in the TS group by 1/3 and included each TS study three times, to perform a comparison against the short duration studies which were in a ratio of 1:3. This approach maintained an unaltered cumulative subject count for the meta-analysis of TS studies. A total of 641 patients were included, comprising 120 and 521 patients with SDF measurements following TS and ejaculation after a short abstinence period, respectively. The studies had varied inclusion criteria, with not all patients having an initial elevated SDF. Some studies had incomplete details on age and other demographics. However, the mean ± SD age of 93 TS patients was 38.15 ± 5.48 years vs. 37.7 ± 6.0 years of 444 short abstinence patients, demonstrating no significant difference (P = 0.544). Short abstinence durations ranged from 1 to 48h. Diverse DNA fragmentation tests were used: TUNEL assay in three testicular sperm studies, SCD assay in one, and in the short abstinence group, four used TUNEL and six used SCD assays, along with one each using SCSA and Halosperm. The mean ± SD SDF was lower in the TS group than in the short abstinence group (mean difference - 9.48, 95%CI -12.45 to -6.52, P < 0.001, I2 = 85%). Sensitivity analysis revealed that no single study significantly influenced the results. Employing the GRADE criteria, the initial assessment categorized the overall quality of evidence as low due to the observational nature of the acquired data. All studies were of medium to high quality. This study suggests testicular sperm may be better than ejaculated sperm for improving SDF in infertility cases. Direct comparisons are needed, before deeming short abstinence less effective. Future research should directly compare reproductive outcomes using both methods.

Outcomes from an Early Adopters Home Hospital Accelerator for Acute Care at Home.

Following the Centers for Medicare and Medicaid Services' approval of the Acute Hospital Care at Home waiver, an increasing number of health care organizations launched Home Hospital (HH) programs in the USA. Ongoing barriers include access to HH expertise and a standard, comprehensive set of implementation tools. We created the HH Early Adopters Accelerator to bring together a network of health care organizations to develop tools ("knowledge products") necessary for HH implementation. To demonstrate the feasibility of the Accelerator approach for generating and implementing relevant, high-quality knowledge products. Mixed methods evaluation of the Accelerator. Surveys and qualitative interviews of Accelerator participants were conducted. Surveys elicited feedback on the knowledge products, including time spent on development, perceived utility and quality, and implementation success. The qualitative interviews gathered more in-depth information on topics covered in the surveys. Eighteen healthcare organizations and 105 individuals participated in the Accelerator. The Accelerator reached its goal and developed 20 knowledge products in 32 working weeks (more efficient than expected). Participants agreed that the knowledge products were useful (developers: 98.1%; stakeholders: 93.8%), of high quality (developers: 96.8%), and would improve patient care if implemented in their HH program (developers: 91.7%; stakeholders: 91.2%). Two thirds (66.7%) of the participating organizations who had implemented knowledge products at 3 months continued utilizing knowledge products in their HH program at 1 year. Agreement that knowledge products improve patient care persisted (92% strongly agreed or agreed) at 1 year. Several programs created new tools, policies, and workflows as a result of implementing the knowledge products. The Accelerator created high-quality, comprehensive knowledge products that healthcare organizations found useful for safe HH implementation 1 year later. The Accelerator approach can feasibly help healthcare organizations safely bridge the gap between innovation and standard practice.

Heavea brasilienis (Rubber seed oil) as cost effective non edible feedstock for sustainable high quality biofuel production.

Biodiesel is renewable fuel acquired from biomass which has short chain alkyl esters derived from vegetable oil or animal fats. It has greater advantages over traditional diesel oil. In first level esterification, H2SO4 is used because the acid catalyst to decrease the FFA from 4. 5% to 0. 85 %. In 2nd stage, transesterification chemical process was carried with methanol and NaOH, the elevated temperature 600c and response time is 45 min to 75min. Only a few experiments have been carried out for evaluating the results of equation using a Scientific tool.

Controlled Vapor-Liquid-Solid Growth of Long and Remarkably Thin Pb1-xSnxTe Nanowires with Strain-Tunable Ferroelectric Phase Transition.

The Pb1-xSnxTe family of compounds possess a wide range of intriguing and useful physical properties, including topologically protected surface states, robust ferroelectricity, remarkable thermoelectric properties, and potential topological superconductivity. Compared to bulk crystals, one-dimensional (1D) nanowires (NWs) offer a unique platform to enhance the functional properties and enable new capabilities, e.g., to realize 1D Majorana zero modes for quantum computations. However, it has been challenging to achieve controlled synthesis of ultrathin Pb1-xSnxTe (0 ≤ x ≤ 1) nanowires in the truly 1D region. In this work, we report on a Au-catalyzed vapor-liquid-solid (VLS) growth of remarkably thin (20-30 nm) and sufficiently long (several to tens of micrometers) Pb1-xSnxTe nanowires of high single-crystalline quality in a controlled fashion. This controlled growth was achieved by enhancing the incorporation of Te into the Au catalyst particle to facilitate the precipitation of the Sn/Pb species and suppress the enlargement of the particle, which we identified as a major challenge for the growth of ultrathin nanowires. Our growth strategy can be easily extended to other compound and alloy nanowires, where the constituent elements have different incorporation rates into the catalyst particle. Furthermore, the growth of thin Pb1-xSnxTe nanowires enabled strain-dependent electrical transport measurements, which shows an enhancement of electrical resistance and ferroelectric transition temperature induced by uniaxial tensile strain along the nanowire axial direction, consistent with density functional theory calculations of the structural phase stability.

Unveiling the tradeoff between device scale and surface nonidealities for an optimized quality factor at room temperature in 2D MoS2 nanomechanical resonators

A high quality (Q) factor is essential for enhancing the performance of resonant nanoelectromechanical systems (NEMS). NEMS resonators based on two-dimensional (2D) materials such as molybdenum disulfide (MoS2) have high frequency tunability, large dynamic range, and high sensitivity, yet room-temperature Q factors are typically less than 1000. Here, we systematically investigate the effects of device size and surface nonidealities on Q factor by measuring 52 dry-transferred fully clamped circular MoS2 NEMS resonators with diameters ranging from 1 μm to 8 μm, and optimize the Q factor by combining these effects with the strain-modulated dissipation model. We find that Q factor first increases and then decreases with diameter, with an optimized room-temperature Q factor up to 3315 ± 115 for a 2-μm-diameter device. Through extensive characterization and analysis using Raman spectroscopy, atomic force microscopy, and scanning electron microscopy, we demonstrate that surface nonidealities such as wrinkles, residues, and bubbles are especially significant for decreasing Q factor, especially for larger suspended membranes, while resonators with flat and smooth surfaces typically have larger Q factors. To further optimize Q factors, we measure and model Q factor dependence on the gate voltage, showing that smaller DC and radio-frequency (RF) driving voltages always lead to a higher Q factor, consistent with the strain-modulated dissipation model. This optimization of the Q factor delineates a straightforward and promising pathway for designing high-Q 2D NEMS resonators for ultrasensitive transducers, efficient RF communications, and low-power memory and computing.

A quality assessment tool for focused abdominal sonography for trauma examinations using artificial intelligence.

Current tools to review focused abdominal sonography for trauma (FAST) images for quality have poorly defined grading criteria or are developed to grade the skills of the sonographer and not the examination. The purpose of this study is to establish a grading system with substantial agreement among coders, thereby enabling the development of an automated assessment tool for FAST examinations using artificial intelligence (AI). Five coders labeled a set of FAST clips. Each coder was responsible for a different subset of clips (10% of the clips were labeled in triplicate to evaluate intercoder reliability). The clips were labeled with a quality score from 1 (lowest quality) to 5 (highest quality). Clips of 3 or greater were considered passing. An AI training model was developed to score the quality of the FAST examination. The clips were split into a training set, a validation set, and a test set. The predicted scores were rounded to the nearest quality level to distinguish passing from failing clips. A total of 1,514 qualified clips (1,399 passing and 115 failing clips) were evaluated in the final data set. This final data set had a 94% agreement between pairs of coders on the pass/fail prediction, and the set had a Krippendorff α of 66%. The decision threshold can be tuned to achieve the desired tradeoff between precision and sensitivity. Without using the AI model, a reviewer would, on average, examine roughly 25 clips for every 1 failing clip identified. In contrast, using our model with a decision threshold of 0.015, a reviewer would examine roughly five clips for every one failing clip - a fivefold reduction in clips reviewed while still correctly identifying 85% of passing clips. Integration of AI holds significant promise in improving the accurate evaluation of FAST images while simultaneously alleviating the workload burden on expert physicians. Diagnostic Test/Criteria; Level II.

Innovative In Situ Passivation Strategy for High-Efficiency Sb2(S,Se)3 Solar Cells.

An effective defect passivation strategy is crucial for enhancing the performance of antimony selenosulfide (Sb2(S,Se)3) solar cells, as it significantly influences charge transport and extraction efficiency. Herein, a convenient and novel in situ passivation (ISP) technique is successfully introduced to enhance the performance of Sb2(S,Se)3 solar cells, achieving a champion efficiency of 10.81%, which is among the highest recorded for Sb2(S,Se)3 solar cells to date. The first principles calculations and the experimental data reveal that incorporating sodium selenosulfate in the ISP strategy effectively functions as an in situ selenization, effectively passivating deep-level cation antisite SbSe defect within the Sb2(S,Se)3 films and significantly suppressing non-radiative recombination in the devices. Space-charge-limited current (SCLC), photoluminescence (PL), and transient absorption spectroscopy (TAS) measurements verify the high quality of the passivated films, showing fewer traps and defects. Moreover, the ISP strategy improved the overall quality of the Sb2(S,Se)3 films, and fine-tuned the energy levels, thereby facilitating enhanced carrier transport. This study thus provides a straightforward and effective method for passivating deep-level defects in Sb2(S,Se)3 solar cells.

Associations between the multitrajectory neuroplasticity of neuronavigated rTMS-mediated angular gyrus networks and brain gene expression in AD spectrum patients with sleep disorders.

The multifactorial influence of repetitive transcranial magnetic stimulation (rTMS) on neuroplasticity in neural networks is associated with improvements in cognitive dysfunction and sleep disorders. The mechanisms of rTMS and the transcriptional-neuronal correlation in Alzheimer's disease (AD) patients with sleep disorders have not been fully elucidated. Forty-six elderly participants with cognitive impairment (23 patients with low sleep quality and 23 patients with high sleep quality) underwent 4-week periods of neuronavigated rTMS of the angular gyrus and neuroimaging tests, and gene expression data for six post mortem brains were collected from another database. Transcription-neuroimaging association analysis was used to evaluate the effects on cognitive dysfunction and the underlying biological mechanisms involved. Distinct variable neuroplasticity in the anterior and posterior angular gyrus networks was detected in the low sleep quality group. These interactions were associated with multiple gene pathways, and the comprehensive effects were associated with improvements in episodic memory. Multitrajectory neuroplasticity is associated with complex biological mechanisms in AD-spectrum patients with sleep disorders. This was the first transcription-neuroimaging study to demonstrate that multitrajectory neuroplasticity in neural circuits was induced via neuronavigated rTMS, which was associated with complex gene expression in AD-spectrum patients with sleep disorders. The interactions between sleep quality and neuronavigated rTMS were coupled with multiple gene pathways and improvements in episodic memory. The present strategy for integrating neuroimaging, rTMS intervention, and genetic data provide a new approach to comprehending the biological mechanisms involved in AD.

Validation Study of the Parkinson's Disease Stigma Questionnaire (PDStigmaQuest).

Stigma is a relevant aspect of Parkinson's disease (PD). Specific stigma tools are needed to address the complex construct of stigma in PD comprehensively. To test the dimensionality and psychometric properties of the newly developed Parkinson's Disease Stigma Questionnaire (PDStigmaQuest). In this multi-center, cross-sectional study including PD patients and healthy controls, the dimensionality of the PDStigmaQuest was examined through exploratory factor analysis. Acceptability and psychometric properties were investigated. PDStigmaQuest scores of patients and healthy controls were compared. In total, 201 PD patients and 101 healthy controls were included in the final analysis. Results suggested high data quality of the PDStigmaQuest (0.0001% missing data for patients). The exploratory factor analysis produced four factors: felt stigma, hiding, enacted stigma: rejection, and enacted stigma: patronization, explaining 47.9% of variance. An optional work domain for employed patients was included. Moderate floor effects and skewness, but no ceiling effects were found. Cronbach's alpha of 0.85 indicated high internal consistency. Calculated item-total correlations met standard criteria. Test-retest reliability was high (rs = 0.83). PDStigmaQuest scores correlated significantly with other stigma measures (rs = 0.56-0.69) and were significantly higher in patients than in healthy controls and higher in patients with depressive symptoms than in those without. The patient-reported 18-item PDStigmaQuest showed strong psychometric properties of validity and reliability. Our results suggest that the PDStigmaQuest can be used to assess and evaluate stigma comprehensively in PD, which will improve our understanding of the construct of PD stigma.

An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Intracranial hemorrhage (ICH) is alife-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice. Aconvolutional neural network (CNN) was trained and validated to detect ICHs on DICOM images of cranial CT (CCT) scans, utilizing about 674,000 individually labeled slices. The CNN was then incorporated into acommercial AI engine and seamlessly integrated into three pilot centers in Germany. Areal-world test-dataset was extracted and manually annotated by two experienced experts. The performance of the AI algorithm against the two raters was assessed and compared to the inter-rater agreement. The overall time ranging from data acquisition to the delivery of the AI results was analyzed. Out of 6284 CCT examinations acquired in three different centers, 947 (15%) had ICH. Breakdowns of hemorrhage types included 8% intraparenchymal, 3% intraventricular, 6% subarachnoidal, 7% subdural, < 1% epidural hematomas. Comparing the AI's performance on asubset of 255 patients with two expert raters, it achieved asensitivity of 0.90, aspecificity of 0.96, an accuracy of 0.96. The corresponding inter-rater agreement was 0.84, 0.98, and 0.96. The overall median processing times for the three centers were 9, 11, and 12 min, respectively. We showed that an AI algorithm for the automatic detection of ICHs can be seamlessly integrated into clinical workflows with minimal turnaround time. The accuracy was on par with radiology experts, making the system suitable for routine clinical use.

Clinical Importance of Redundant Nerve Roots in Patients with Symptomatic Lumbar Spinal Stenosis: A Secondary Analysis of NORDSTEN Spinal Stenosis Trial Data.

Post-hoc analysis of data from a randomized clinical trial. To compare preoperative symptoms of patients with lumbar spinal stenosis (LSS) with and without redundant nerve roots (RNR), and to compare the change in clinical outcomes between those two groups 2 years after decompression surgery. RNR are often seen on MRI in patients with spinal stenosis. Previous studies have reported that patients with RNR are older and have worse symptoms at baseline. A meta-analysis from 2018 concluded that this radiological sign could be seen as a negative predictor of outcome. High quality prospective studies are lacking. Patient characteristics and reported pain and function scores were compared between LSS groups with (RNR+) and without RNR (RNR-) at baseline and after 2 years follow-up. Primary outcome was the mean change in the Oswestry Disability Score (ODI). Secondary outcomes included mean change in scores of the Zurich Claudication Questionnaire (ZCQ) and the numeric rating scale (NRS) for leg and back pain. Out of 416 patients included in the present analysis, 163 (39%) had RNR at baseline. Both groups were similar in regard to patient age, smoking habits, BMI and duration of symptoms. Both groups also showed similar pain and function scores at baseline. The RNR+ group contained a significantly higher proportion of men, patients with severe stenosis and multiple stenotic levels on MRI. At 2-year follow-up the mean change of ODI was -22.1 in the RNR+ group and -17.4 in RNR- group (mean difference 4.7 (95%CI 1.3-8.2) P=0.007). Statistically significant differences were also found for secondary outcomes ZCQ, and NRS leg and back pain favouring the RNR+ group. Patients with RNR had similar baseline characteristics and similar symptoms as patients without. RNR before surgery were associated with better clinical improvement 2 years after decompression.

Examining bus service quality among clusters of commuters: the case of Maputo Metropolitan Area, Mozambique

ABSTRACT The Maputo Metropolitan Area's bus transport service is comprised of both formal and informal operations, characterized by declined service quality. To improve service quality, the Maputo Metropolitan Transport Agency is transitioning to formal operations. The study aims to determine who experiences substandard bus service and where, to inform targeted actions. Data from 8,095 bus users were analysed using cluster analysis, Sankey diagrams, and multicriteria analysis, revealing four distinct behavioural clusters (C1–C4). C1 (Non-frequent-early evening) and C4 (Non-frequent-early morning) commuters experience low and very low service quality, respectively, needing increased bus frequency and easy-to-board buses. C2 (Non-frequent-daytime) commuters enjoy high service quality but could benefit from dedicated bus lanes to further improve frequency and convenience. C3 (Frequent-short travel time) commuters experience very high service quality but require direct bus lines from the suburbs to the CBD to reduce travel costs. The study findings form a basis for targeted bus service improvements.

YouTube as asource of information on reactive arthritis: aquality analysis.

YouTube is often used by patients and healthcare professionals to obtain medical information. Reactive arthritis (ReA) is atype of inflammatory arthritis triggered by infection, usually in the genitourinary or gastrointestinal tract. However, the accuracy and quality of ReA-related information on YouTube are not fully known. This study aimed to assess the reliability and quality of YouTube videos pertaining to ReA. AYouTube search was performed on August1, 2023, using the keywords "reactive arthritis," "Reiter's disease," and "Reiter's syndrome." The number of days since upload; the number of views, likes, and comments; and the duration of videos were recorded. The modified DISCERN tool (mDISCERN) and the global quality scale (GQS) were used to evaluate the reliability and quality of the videos. Two physicians independently classified videos as low, moderate, or high quality and rated them on afive-point GQS (1 = poor quality, 5 = excellent quality). The source of videos was also noted. Of the 180videos screened, 68met the inclusion criteria. The most common topic (61, 89.7%) was "ReA overview." Among the 68videos analyzed, the main source of uploads was physicians 45(66.2%), and 66(97%) were categorized as useful. Around half of the YouTube videos about ReA were of high quality (33, 48.5%) according to the GQS. Upon comparing videos uploaded by rheumatologists, non-rheumatology healthcare professionals, and independent users, significant differences were found in mDISCERN and GQS but not in the number of views, likes, and comments or duration. Upon comparing high-, moderate-, and low-quality videos, significant differences were found in the number of views, likes, and comments; duration; and in mDISCERN and GQS. YouTube is asource of information on ReA of variable quality, with wide viewership and the potential to influence patients' knowledge and behavior. Our results showed that most YouTube videos on ReA were of high quality. Videos presented by physicians had higher quality. YouTube should consider avoiding low-quality videos by using validity scales such as mDISCERN and GQS.

High Q and high gradient performance of the first medium-temperature baking 1.3 GHz cryomodule

The world’s first 1.3 GHz cryomodule containing eight 9-cell superconducting radio-frequency (rf) cavities treated by medium-temperature furnace baking (mid-T bake) was developed at the Institute of High Energy Physics, Chinese Academy of Sciences. The 9-cell cavities in the cryomodule achieved an unprecedented high average intrinsic quality factor (Q0) of 3.8×1010 at 16 MV/m and 3.6×1010 at 21 MV/m in the horizontal test. The cryomodule can operate stably up to a total continuous wave rf voltage greater than 193 MV, with an average cavity usable accelerating gradient of more than 23 MV/m. The results significantly exceed the specifications of Circular Electron Positron Collider and Dalian advanced light source and the other high repetition rate free electron laser facilities [Linac Coherent Light Source II (LCLS-II), LCLS-II-high energy, Shanghai High Repetition Rate X-ray FEL and Extreme Light Facility, Shenzhen Superconducting Soft X-Ray Free Electron Laser, etc.]. There is evidence that the mid-T bake cavity may not require fast cooldown or long processing time in the cryomodule. This paper reviews the cryomodule performance and discusses some important issues in cryomodule assembly and testing. Published by the American Physical Society 2024

Genome-wide association study for growth traits with 1066 individuals in largemouth bass (Micropterus salmoides)

The largemouth bass is a native species of North America that was first introduced to mainland China in the 1980s. In recent years, it has been extensively farmed in China due to its high meat quality and broad adaptability. In this study, we collected growth trait data from 1,066 largemouth bass individuals across two populations. We generated an average of approximately 7× sequencing coverage for these fish using Illumina sequencers. From the samples, we identified 2,695,687 SNPs and retained 1,809,116 SNPs for further analysis after filtering. To estimate the number of genome-wide effective SNPs, we performed LD pruning with PLINK software and identified 77,935 SNPs. Our GWAS revealed 15 SNPs associated with six growth traits. We identified a total of 24 genes related to growth, with three genes—igf1, myf5, and myf6—directly associated with skeletal muscle development and growth, located near the leading SNP on chromosome 23. Other candidate genes are involved in the development of tissues and organs or other physiological processes. These findings provide a valuable set of SNPs and genes that could be useful for genetic breeding programs aimed at enhancing growth in largemouth bass.