Variation In Duration Research Articles

Associations Between Sleep Health and Child Behavior at Age 6 Years in the INSIGHT Study

ABSTRACT Objective: Suboptimal sleep is associated with disruptive behaviors in childhood. We evaluate associations of mean and variability (SD) of sleep duration, quality, and timing with emotion regulation, impulsivity, and prosocial and antisocial behavior in children. Methods: Intervention Nurses Start Infants Growing on Healthy Trajectories, a randomized controlled trial designed for obesity prevention, compared a responsive parenting intervention delivered in the first 2.5 years after birth with a home safety control group. At age 6 years, children wore an actigraphy device for 7 days and participated in behavioral tasks evaluating behavioral control, emotion regulation, and prosocial and antisocial behaviors. Separate linear regression models examined associations between sleep and behavioral variables, adjusting for study group, child sex, and household income. Moderation analysis investigated whether the study group moderated relationships between sleep and positive age-appropriate behavior. Results: Children (N = 143, age 6.7 ± 0.3 years) were predominantly non-Hispanic White (95%). Mean actigraphic sleep duration, quality, and timing were not associated with behavioral variables. By contrast, greater variability in sleep onset timing was associated with greater impulsivity (B = 0.85, p = 0.004) and poorer emotion regulation (B = −0.65, p = 0.01). Greater variability in sleep midpoint timing was associated with greater impulsivity (B = 0.80, p = 0.03). The study group moderated the effect of sleep onset variability on behavior; only the home safety control group exhibited a significant negative relationship between variability in sleep onset timing and emotion regulation (B = −1.28, p = 0.0002). Conclusion: Findings support the importance of consistency in sleep timing and how this may play a greater role in children's behavioral and emotional outcomes than mean actigraphic sleep duration and quality.

Evaluating the Effectiveness of Lifestyle Interventions in Preventing Chronic Diseases: A Systematic Review

This systematic review evaluates the effectiveness of lifestyle interventions, including dietary changes, physical activity, smoking cessation, and alcohol reduction, in preventing chronic diseases such as cardiovascular disease, diabetes, and obesity. Chronic diseases pose a significant burden globally, and lifestyle interventions are increasingly recommended to reduce risk factors. A comprehensive search was conducted in databases like PubMed, Cochrane Library, and Embase, focusing on studies published in the past decade. Included studies assessed adult populations at risk of chronic diseases, using interventions targeting lifestyle modifications with measurable health outcomes. Findings indicate that dietary changes and increased physical activity significantly reduce chronic disease risk, while smoking cessation and alcohol reduction further contribute to improved health outcomes. Combination interventions generally showed the most substantial impact on preventing chronic disease. Although the evidence strongly supports lifestyle changes for disease prevention, variations in intervention type, duration, and adherence remain a limitation. Future research should explore long-term effects and implementation strategies in diverse populations. This review underscores the need for integrating effective lifestyle interventions into healthcare policies to improve public health.

Duration of diabetes, glycemic control, and low heart rate variability: The atherosclerosis risk in communities (ARIC) study

Persons with long-standing, poorly controlled diabetes or recent hyperglycemia had the highest burden of cardiac autonomic neuropathy. Cardiac autonomic neuropathy contributed to elevated long-term incidence of cardiovascular disease and mortality even in persons with well-controlled diabetes.

Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

Agricultural drought, characterized by insufficient soil moisture crucial for crop growth, poses significant challenges to food security and economic sustainability, particularly in water-scarce regions like Senegal. This study addresses this issue by developing a comprehensive geospatial monitoring system for agricultural drought using the Regional Hydrologic Extremes Assessment System (RHEAS). This system, with a high-resolution of 0.05°, effectively simulates daily soil moisture and generates the Soil Moisture Deficit Index (SMDI)-based agricultural drought monitoring. The SMDI derived from the RHEAS has effectively captured historical droughts in Senegal over the recent 30 years period from 1993 to 2022. The SMDI, also provides a comprehensive understanding of regional variations in drought severity (S), duration (D), and frequency (F), through S-D-F analysis to identify key drought hotspots across Senegal. Findings reveal a distinct north-south gradient in drought conditions, with the northern and central Senegal experiencing more frequent and severe droughts. The study highlights that Senegal experiences frequent short-duration droughts with high severity, resulting in extensive spatial impact. Additionally, increasing trends in drought severity and duration suggest evolving climate change effects. These findings emphasize the urgent need for sustainable interventions to mitigate drought impacts on agricultural productivity. Specifically, the study identifies recurrent and intense drought hotspots affecting yields of staple crops like maize and rice, as well as cash crops like peanuts. The developed high-resolution drought monitoring system for Senegal not only identifies hotspots but can also enables prioritizing sustainable approaches and adaptive strategies, ultimately sustaining agricultural productivity and resilience in Senegal's drought-prone regions.

Research progress on environmental stability of SARS-CoV-2 and influenza viruses

We reviewed research on SARS-CoV-2 and influenza virus detection on surfaces, their persistence under various conditions, and response to disinfectants. Viral contamination in community and healthcare settings was analyzed, emphasizing survival on surfaces influenced by temperature, pH, and material. Findings showed higher concentrations enhance survivability at room temperature, whereas stability increases at 4°C. Both viruses decline in low pH and high heat, with influenza affected by salinity. On various material surfaces, SARS-CoV-2 and influenza viruses demonstrate considerable variations in survival durations, and SARS-CoV-2 is more stable than influenza virus. On the skin, both virus types can persist for ≥2 h. Next, we delineated the virucidal efficacy of disinfectants against SARS-CoV-2 and influenza viruses. In daily life, exposure to ethanol (70%), isopropanol (70%), bleach (10%), or hydrogen peroxide (1–3%) for 15–30 min can effectively inactive various SARS-CoV-2 variants. Povidone-iodine (1 mg/mL, 1 min) or cetylpyridinium chloride (0.1 mg/mL, 2 min) may be used to inactive different SARS-CoV-2 variants in the mouth. Chlorine disinfectants (500 mg/L) or ultraviolet light (222 nm) can effectively inhibit different SARS-CoV-2 variants in public spaces. In conclusion, our study provides a scientific basis and practical guidance for reduction of viral persistence (retention of infectivity) on surfaces and environmental cleanliness.

Duration of sinus rhythm after direct current cardioversion does not predict recurrence of atrial fibrillation after subsequent catheter ablation: a multicentre study

Abstract Background Catheter ablation (CA) for persistent atrial fibrillation (PsAF) is associated with high rates of AF recurrence. DC cardioversion (DCCV) is often performed before CA, with wide variation in duration of maintenance of sinus rhythm (SR) post-DCCV. Factors associated with short duration of SR after DCCV, such as raised body mass index, prior duration of AF, prolonged p wave duration on the 12-lead ECG, and indexed left atrial volume, are either associated with or indicative of atrial electrical and structural remodelling, suggesting that shorter duration of SR after DCCV reflects a more advanced substrate for AF, which could in turn also influence the likelihood of success after CA. Objective To determine if post-DCCV SR duration is associated with AF recurrence after subsequent CA. Methods We performed a multicentre retrospective study of patients undergoing first-time CA for PsAF between 2015-2018 with prior DCCV. SR duration after the last DCCV prior to CA was recorded. The primary outcome was the first recurrence of atrial arrhythmia post-CA (after a 90-day post-CA blanking period). We also performed a pre-specified sensitivity analysis for amiodarone use at DCCV, by performing repeat analysis after excluding all such patients across the three groups. Results A total of 331 patients were identified across five centres and categorised by post-DCCV SR duration: <7 days (group 1); 7-31 days (group 2); >31 days (group 3; Table 1). Over median post-CA follow-up of 591 days, 207 patients (62.5%) met the primary outcome. There was no significant between-group difference in the time to primary outcome (log rank p=0.82; Figure 1). There were significantly more blanking period arrhythmias in groups 1 and 2 than group 3 after post hoc Bonferroni correction (pairwise p=0.001, 0.002 respectively; Table 1). After exclusion of patients on amiodarone at time of DCCV, there remained no significant between-group difference in the time to primary outcome (log rank p=0.85). Conclusion Shorter duration of SR post-DCCV is associated with blanking period arrhythmia after CA, but crucially does not predict long-term AF recurrence. Early AF recurrence after DCCV should not influence decisions on CA suitability or be used to predict long-term CA success.

Stakeholder perspectives on supplemental milk for infants under six months with growth faltering

Abstract Background Growth faltering is a significant public health issue among infants aged <6 months (m). Supplemental milk is commonly used for infants with growth faltering, with variations in type and duration. We synthesized qualitative evidence on stakeholder perspectives about equity, feasibility, and acceptability of the type and duration of supplemental milk for infants aged <6m with growth faltering. Methods We conducted a comprehensive search of six electronic databases in addition to manual searches to identify all qualitative studies published during January 2000-June 2022. Identified articles were screened in two stages against an inclusion criteria with titles and abstract screened first followed by full-text screening. Included studies were quality appraised using the Critical Appraisal Skills Programme checklist. The primary outcome was equity, feasibility, and acceptability of various supplemental milk for infants <6mwith growth faltering. Results Eighteen studies, reporting perspectives of mothers, fathers, grandmothers and healthcare providers were included. Studies were conducted in North America (9), Africa (5) and Asia (3) and South Australia (1). Donor human milk (DHM) (13) and infant formula(9) were the main supplementary milk reported followed by cow/goat milk (2). Key sub-themes derived were: education/awareness, socio-economic status (SES), race and religion, practicality, availability of resources, sustainability, cost, affective attitude, perceived effectiveness and ethicality. Maternal/caregiver SES was a key sub-theme across all three supplemental milk feeds, acting either as a barrier or facilitator for uptake. Conclusions DHM and infant formula were the most commonly reported supplemental feed for infants aged <6m with growth faltering. Maternal/care giver factors were perceived as key to ensure equity, feasibility, and acceptability with respect to type and duration of supplemental milk for infants aged <6m with growth faltering. Key messages • Stakeholders perceived donor human milk and infant formula as main supplemental milk for infants aged <6 months with growth faltering. • Maternal/care giver factors are key to ensure equity, feasibility, and acceptability of supplemental milk for infants aged <6 months with growth faltering.

Procollagen-lysine 2-oxoglutarate 5-dioxygenases are responsible for 5R-hydroxylysine modification of therapeutic T-cell bispecific monoclonal antibodies produced by Chinese hamster ovary cells

We present a detailed mass spectrometric analysis of three 2 + 1 T-cell bispecific monoclonal antibodies (TCB mAbs), where an unexpected +15.9950 Da mass shift in tryptic peptides was observed. This modification was attributed to the occurrence of 5R-hydroxylysine (Hyl) using a hybrid LC–MS/MS molecular characterization and CRISPR/Cas9 gene deletion approach. The modification was found at various sites within TCB mAbs, with a conspicuous hot spot motif mirroring a prior observation where Hyl was mapped to the CH1–VH Fab domain interface of IgGs. In contrast to the preceding report, our structural modeling analysis on TCB mAbs unveiled substantial differences in the orientation and flexibility of motifs in immediate proximity and across the artificial CH1–VL cross Fab interface and upstream elbow segment. Utilizing a hybrid database search, RNAseq, and a CRISPR/Cas9 knockout methodology in Chinese hamster ovary (CHO) production cell lines, procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) were conclusively identified as the catalyzing enzymes accountable for the 5R-Hyl modification in TCB mAbs. To quantitatively inhibit Hyl formation in TCB mAbs, the activity of all three Chinese hamster PLOD isoenzymes needs to be depleted via CRISPR/Cas9 gene knockout. Moreover, our investigation identified cell culture iron availability, process duration, and clonal variability in CHO cells as elements influencing the levels of Hyl formation in TCB mAbs. This research offers a solution for circumventing Hyl formation in therapeutic complex mAb formats, such as TCB mAbs, produced in CHO cell culture processes, thereby addressing potential technical and biological challenges associated with unintended Hyl modification.

Long-term time-to-ventricular arrhythmic event prediction using a deep learning based model on the electrocardiogram signal

Abstract Background Ventricular arrhythmias (VA) risk stratification tools in individuals without known cardiovascular disease are still insufficient. Previous studies have used convolutional neural networks (CNN) to classify VA by the end of an established follow-up period using the electrocardiogram (ECG), showing a moderate performance (area under the curve [AUC] of 0.610). We hypothesised that the appearance of the VA substrate on the ECG signal depends on the proximity of the ECG acquisition to the VA event. Thus, the performance could improve if the CNN was trained to predict time-to-VA event instead, and if the presence of censored data was considered. Purpose We developed and tested a CNN to predict time-to-VA event in middle-aged individuals without known cardiovascular disease, and we compared its performance with that from ECG indices, such as QRS duration, QT interval and T-wave morphology variations (TMV), as well as sex and age. Methods A total of 69,283 individuals without known cardiovascular disease from the UK Biobank were used as the training set. We applied 10-fold cross validation to train a CNN, where the input was a 15-second ECG at rest (lead I), and the output was ‘occurrence of VA’, ‘censored’, or ‘survival’, up to 1, 2, 3, 4, 6, 8, 10 and 12 years after the ECG acquisition. We used 15-second ECG (lead I) from an independent cohort of 17,320 individuals without cardiovascular disease also from UK Biobank as a test set, where we set a follow-up of 10 years. The above ECG indices were derived from the median heartbeat from the ECG using in-house algorithms. We derived optimal cut-off thresholds from the training test, and we evaluated the AUC, sensitivity, specificity and Cox regression hazard ratios (HR) in the test set. Results In the test set, 9,206 individuals (53%) reached the 10-year follow-up, during which 60 (0.7%) had a VA event. The AUC, sensitivity and specificity values of the CNN were 0.715, 0.881 and 0.400, respectively. These values were 0.592, 0.686 and 0.383 for the QRS duration, 0.569, 0.156 and 0.717 for the QT interval and 0.552, 0.712 and 0.350 for TMV. The combination of sex and age alone showed performance values of 0.760, 0.694 and 0.683, respectively. Survival analyses showed a HR of 3.883 (P = 3.0 x 10-7) for individuals with a CNN prediction greater than the threshold derived in the training set after adjusting for age and gender. Conclusions A CNN that is trained to predict time-to-VA event and accounts for censored data outperforms previous classification proposed models and the predictive value of individual ECG indices of risk. Although the predictive value of the CNN does not show a better long-term VA predictive value than sex and age alone, it provides a significant contribution independently from these two risk factors. Our findings support the use of the ECG to improve long-term VA risk stratification, which might be particularly useful in age- and sex-stratified analyses.

Intra-articular corticosteroid injections for osteoarthritis: A qualitative study of patients' and clinicians' experiences.

Osteoarthritis is a leading cause of joint pain and disability. Intra-articular corticosteroid injections (IACs) are often used in primary care once other recommended treatments have failed. Evidence shows that IACs provide short-term relief of osteoarthritis symptoms, yet little is known about patients' and primary care clinicians' experiences and beliefs about their use. We explored patients' and primary care clinicians' views about IACs, including the benefits, disadvantages, perceived risks of treatment, when they are used, and factors that affect decision-making. We conducted individual interviews with patients and primary care clinicians and used inductive thematic analysis to investigate their views and experiences of intra-articular corticosteroid injections for osteoarthritis (IACs). We interviewed 38 patients and 19 primary care clinicians. We identified 6 patient themes: variation in access; awareness of IACs; views of risk and trust; effectiveness of IACs; variation in onset and effect duration; and an alternative to undesirable treatments. In the interviews with clinicians, we identified an overarching theme of caution and competence, which included eight subthemes: confidence and (dis)comfort with practical procedures; risk of adverse outcomes; training; uncertainty about evidence and guidelines; technical uncertainties; IACs use on the osteoarthritis pathway; perceived benefits and impacts of IACs; and the possibility of placebo. Patients and clinicians valued IACs' potential to relieve symptoms and improve quality of life. Variability in patients' access to treatment appears related to clinicians' confidence in delivering injections and their concerns about the evidence base. Variation in dose frequency and timing reflect clinicians' uncertainty about current guidance. Despite variation in effectiveness patients preferred IACs to other forms of pain medication and to delay or avoid surgery. IACs were mostly used as an adjunct treatment before surgery was offered. These findings can inform further research into the effectiveness of IACs and improvements in information and guidance.

Impact of Injection Duration and Injection Timing Variations on Torque and Power Output of the Ken Arok Urban Car Utilizing E100 Ethanol

State Polytechnic of Malang (Polinema) actively participated in the energy-efficient car competition. The Polinema team has developed an energy-efficient car called Ken Arok, which competes in the urban ethanol class (Internal Combustion Engine) concept. This class emphasizes using internal combustion engines as the driving force and ethanol as the fuel. Ken Arok won fifth place in the competition due to obstacles in the programmed ECU program, especially in the injection duration. This study examines the effect of the interaction between injection duration and injection time variations on the torque and power output of the Ken Arok urban car fueled by E100 ethanol. An experimental approach was used in this study. A modified motor, converted into an energy-efficient urban car, was tested. The injection duration mapping was varied in multiples of 2 ms, with values ​​ranging from 2 ms less than the standard to 2 ms more than the standard. Likewise, the injection time was varied in multiples of 2 degrees, including 2 degrees less than the standard and 2 degrees more than the standard. The dyno tester measured the torque and power generated under these conditions. The main objective of this study was to identify the optimal torque and power settings for the Ken Arok energy-efficient engine. The highest torque value recorded was 10.13 N.m, achieved at 6000 rpm when using an injection duration of 2 ms more than the standard (9.06 ms) and an injection timing advanced by 2 degrees (3580). The peak power output reached 8.7 HP at 6000 rpm under compression injection duration plus 2 ms (9.06 ms), and when the injection was advanced by 20 (3580).

Effectiveness of psychoeducation interventions for pregnant women with gestational diabetes mellitus: an integrative review

BackgroundGestational diabetes mellitus occurs in approximately 15–17% of pregnant women worldwide and causes high mortality and morbidity for mothers and infants. Pregnant women who are newly diagnosed with gestational diabetes mellitus experience higher levels of stress and anxiety than pregnant women without this condition. Thus, it is important to identify effective interventions to help pregnant women cope with the additional stress and anxiety associated with pregnancy-related complications.AimThis integrative review aimed to synthesise evidence on the effects of educational interventions for pregnant women with gestational diabetes mellitus regarding knowledge, self-efficacy, self-care behaviour, anxiety, depression, and birth outcomes.MethodsAn integrative review of articles published between 2009 and 2024, written in English and Arabic. The review followed the Whittemore and Knafl’s 5-stage process framework.ResultsFrom the 922 abstracts identified using search terms, 16 articles were eligible for this review. Psychoeducational interventions were provided for (1) informational support: information about gestational diabetes mellitus, diabetes mellitus, blood glucose monitoring, exercise management, diet management, and stress; (2) motivational support: setting individual goals, enhancing health behaviours, and motivational messages; (3) emotional support: expression of feelings, enforcement of self-management, and sharing of experiences; and (4) relaxation techniques: breathing exercises, meditation, and mindfulness. In this review, only two studies entirely focused on reducing stress and anxiety through cognitive-behavioural stress management training and mindfulness training. The effects of the interventions on self-efficacy, knowledge, depression, anxiety, and birthing outcomes were inconsistent due to variations in intervention designs and duration. However, consistent positive outcomes were found in self-care behaviours.ConclusionThis integrative review found informational and motivational support were frequently used by pregnant women. In contrast, emotional support and relaxation techniques were rarely used. Psychoeducational interventions may enhance self-care behaviours, improve self-efficacy, and reduce stress and depression for women with gestational diabetes mellitus. Nurses and midwives play an essential role in providing holistic care through comprehensive psychoeducational interventions for pregnant women.

Long-Term Outcomes of Cataract Surgery: Analysis of Visual Acuity and Intraocular Pressure in a Tertiary Care Center

Abstract: Posterior capsule opacity (PCO) is a common complication following cataract surgery, caused by the proliferation of residual lens epithelial cells. This study aimed to evaluate the long-term effects of Nd:YAG laser capsulotomy on intraocular pressure (IOP) and visual acuity in PCO patients. This was a retrospective descriptive study. Samples were 24 patients diagnosed with PCO who underwent Nd:YAG laser capsulotomy at Prof. Dr. R. D. Kandou Hospital, Manado, from January 1, 2022, to January 1, 2024. The study recorded pre- and post-procedure IOP and best-corrected visual acuity (BCVA) data. Descriptive analysis, including paired t-tests, was used to assess changes in IOP and BCVA over an average follow-up period of 19.2 months. The results showed a statistically significant improvement in BCVA (p=0.000), with mean values improving from 0.72 to 0.27 LogMAR. A significant reduction in IOP was also observed (p=0.015), with long-term IOP remaining stable. A weak correlation was found between follow-up duration and IOP variation (p=0.02). In conclusion, Nd:YAG laser capsulotomy significantly improves visual acuity and stabilizes intraocular pressure in the long term for PCO patients, suggesting its effectiveness in managing post-cataract surgery complications. Keywords: posterior capsule opacity; Nd:YAG laser capsulotomy; intraocular pressure; visual acuity; cataract surgery Methods: A retrospective descriptive study was conducted on 24 patients diagnosed with PCO who underwent Nd capsulotomy at RSUP Prof Dr. R. D. Kandou Central Hospital, Manado, from January 1, 2022, to January 1, 2024. The study recorded pre- and post-procedure IOP and Best-Corrected Visual Acuity (BCVA) data. Descriptive analysis, including paired t-tests, was used to assess changes in IOP and BCVA over an average follow-up period of 19.2 months. Results: The study revealed a statistically significant improvement in BCVA (p = 0.000), with mean values improving from 0.72 to 0.27 LogMAR. A significant reduction in IOP was also observed (p = 0.015), with long-term IOP remaining stable. A weak correlation was found between follow-up duration and IOP variation (p = 0.02). Conclusion: Nd capsulotomy significantly improves visual acuity and stabilizes IOP in the long term for PCO patients, suggesting its effectiveness in managing post-cataract surgery complications.

Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers.

Human monitoring of personal protective equipment (PPE) adherence among healthcare providers has several limitations, including the need for additional personnel during staff shortages and decreased vigilance during prolonged tasks. To address these challenges, we developed an automated computer vision system for monitoring PPE adherence in healthcare settings. We assessed the system performance against human observers detecting nonadherence in a video surveillance experiment. The automated system was trained to detect 15 classes of eyewear, masks, gloves, and gowns using an object detector and tracker. To assess how the system performs compared to human observers in detecting nonadherence, we designed a video surveillance experiment under 2 conditions: variations in video durations (20, 40, and 60 seconds) and the number of individuals in the videos (3 versus 6). Twelve nurses participated as human observers. Performance was assessed based on the number of detections of nonadherence. Human observers detected fewer instances of nonadherence than the system (parameter estimate -0.3, 95% CI -0.4 to -0.2, P < .001). Human observers detected more nonadherence during longer video durations (parameter estimate 0.7, 95% CI 0.4-1.0, P < .001). The system achieved a sensitivity of 0.86, specificity of 1, and Matthew's correlation coefficient of 0.82 for detecting PPE nonadherence. An automated system simultaneously tracks multiple objects and individuals. The system performance is also independent of observation duration, an improvement over human monitoring. The automated system presents a potential solution for scalable monitoring of hospital-wide infection control practices and improving PPE usage in healthcare settings.

Prospective associations between Sleep, Sensation-Seeking and Mature Screen Usage in Early Adolescents: Findings from the Adolescent Brain Cognitive Development (ABCD) Study.

Early exposure to mature content is linked to high-risk behaviors. This study aims to prospectively investigate how sleep and sensation-seeking behaviors influence the consumption of mature video games and R-rated movies in early adolescents. A secondary analysis examines the bidirectional relationships between sleep patterns and mature screen usage. Data were obtained from a subsample of 3,687 early adolescents (49.2% female; mean age: 11.96 years) participating in the Adolescent Brain and Cognitive Development study. At Year 2 follow-up, participants wore Fitbit wearables for up to 21 nights to assess objective sleep measures and completed a scale about sensation-seeking traits. At Year 3 follow-up, they answered questions about mature screen usage. Of the sample, 41.8% of the sample reported playing mature-rated video games and 49% reported watching R-rated movies. Sensation-seeking traits were associated with R-rated movie watching one year later. Shorter sleep duration, later bedtime, more bedtime variability, and more social jetlag (discrepancy between the mid-sleep on weekdays and weekends) were associated with mature-rated video gaming and R-rated movie watching one year later. Sleep duration variability was associated with mature-rated video gaming. There was also an interaction effect: those with higher sensation-seeking scores and shorter sleep duration reported more frequent R-rated movie usage than those with longer sleep duration. Secondary analyses showed bidirectional associations between later bedtimes, more variability in bedtimes, and more social jetlag with mature screen usage. Early adolescents with sensation-seeking traits and poorer sleep health were more likely to engage in mature screen usage.

How unemployment benefit duration shapes startup motivation and growth

AbstractBusiness creation is economically important, and unemployment precedes the creation of a substantial share of new firms. Yet, most research has focused on analyzing the effects of unemployment insurance policies on re-employment outcomes, ignoring self-employment. In this paper, we analyze how the potential duration of unemployment benefits, a fundamental design choice of unemployment insurance systems, affects whether new firms are founded out of opportunity or necessity and their growth potential. To this end, we construct a comprehensive dataset on German firm founders that links administrative social insurance information with business survey data. Exploiting reform and age-related exogenous variation in the potential duration of unemployment benefits, we find that longer potential benefit duration implies longer actual unemployment and, as a consequence, more necessity entrepreneurship and worse startup outcomes in terms of sales and employment growth. We explain this overall effect of potential benefit duration through a mix of compositional and individual-level duration effects. Our findings underline that new firms started out of unemployment are a highly heterogeneous group and suggest that the (optimal) design of unemployment insurance systems has important externalities on whether innovation- and growth-oriented firms are started out of unemployment.

Quantifying the impact of surgical teams on each stage of the operating room process.

Operating room (OR) efficiency is a key factor in determining surgical healthcare costs. To enable targeted changes for improving OR efficiency, a comprehensive quantification of the underlying sources of variability contributing to OR efficiency is needed. Previous literature has focused on select stages of the OR process or on aggregate process times influencing efficiency. This study proposes to analyze the OR process in more fine-grained stages to better localize and quantify the impact of important factors. Data spanning from 2019-2023 were obtained from a surgery center at a large academic hospital. Linear mixed models were developed to quantify the sources of variability in the OR process. The primary factors analyzed in this study included the primary surgeon, responsible anesthesia provider, primary circulating nurse, and procedure type. The OR process was segmented into eight stages that quantify eight process times, e.g., procedure duration and procedure start time delay. Model selection was performed to identify the key factors in each stage and to quantify variability. Procedure type accounted for the most variability in three process times and for 44.2% and 45.5% of variability, respectively, in procedure duration and OR time (defined as the total time the patient spent in the OR). Primary surgeon, however, accounted for the most variability in five of the eight process times and accounted for as much as 21.1% of variability. The primary circulating nurse was also found to be significant for all eight process times. The key findings of this study include the following. (1) It is crucial to segment the OR process into smaller, more homogeneous stages to more accurately assess the underlying sources of variability. (2) Variability in the aggregate quantity of OR time appears to mostly reflect the variability in procedure duration, which is a subinterval of OR time. (3) Primary surgeon has a larger effect on OR efficiency than previously reported in the literature and is an important factor throughout the entire OR process. (4) Primary circulating nurse is significant for all stages of the OR process, albeit their effect is small.

Mechanical properties and probabilistic models of wood and engineered wood products: A review of green construction materials

Wood and engineered wood products are green construction materials with excellent mechanical properties, widely utilized in various buildings and bridges. This paper reviews their short-term and long-term mechanical properties and probabilistic models. Short-term mechanical properties analysis reveals strong tensile (up to 165 MPa) and bending strengths (up to 264 MPa), contrasted by lower compressive strength (up to 103 MPa) and minimal shear/rolling strength (up to 14 MPa). These properties vary based on species type, lay-up angle, and dimensions, and are mutually influential. It also demonstrated that innovative techniques such as compression and cross-laminated lay-ups enhance the strength and sustainability of wood products, utilizing smaller logs effectively and reducing carbon emissions. For long-term mechanical properties, empirical models typically used for creep strength assessment fail to account for load duration variability, a gap partly addressed by damage accumulation models which require further development. The considerable time for long-term tests underlines the need for developing accelerated load tests to more effectively assess durability. As for probabilistic models, numerical methods and machine learning provide advanced probabilistic models by analyzing extensive data, offering significant improvements over traditional experimental methods.The global contribution of the work is mainly to enhance the understanding of wood and engineered wood products for properly design and extensive application of timber structures in civil engineering and promoting sustainable development.

356 Variation in Duration of Emergency Department Boarding by Patient Demographics

356 Variation in Duration of Emergency Department Boarding by Patient Demographics

Estimating pulmonary arterial remodeling via an animal-specific computational model of pulmonary artery stenosis.

Pulmonary artery stenosis (PAS) often presents in children with congenital heart disease, altering blood flow and pressure during critical periods of growth and development. Variability in stenosis onset, duration, and severity result in variable growth and remodeling of the pulmonary vasculature. Computational fluid dynamics (CFD) models enable investigation into the hemodynamic impact and altered mechanics associated with PAS. In this study, a one-dimensional (1D) fluid dynamics model was used to simulate hemodynamics throughout the pulmonary arteries of individual animals. The geometry of the large pulmonary arteries was prescribed by animal-specific imaging, whereas the distal vasculature was simulated by a three-element Windkessel model at each terminal vessel outlet. Remodeling of the pulmonary vasculature, which cannot be measured in vivo, was estimated via model-fitted parameters. The large artery stiffness was significantly higher on the left side of the vasculature in the left pulmonary artery (LPA) stenosis group, but neither side differed from the sham group. The sham group exhibited a balanced distribution of total distal vascular resistance, whereas the left side was generally larger in the LPA stenosis group, with no significant differences between groups. In contrast, the peripheral compliance on the right side of the LPA stenosis group was significantly greater than the corresponding side of the sham group. Further analysis indicated the underperfused distal vasculature likely moderately decreased in radius with little change in stiffness given the increase in thickness observed with histology. Ultimately, our model enables greater understanding of pulmonary arterial adaptation due to LPA stenosis and has potential for use as a tool to noninvasively estimate remodeling of the pulmonary vasculature.