Daytime Periods Research Articles

On the Origin of Information Dynamics in Early Life

We hypothesize that predictable variations in environmental conditions caused by night/day cycles created opportunities and hazards that initiated information dynamics central to life’s origin. Increased daytime temperatures accelerated key chemical reactions but also caused the separation of double-stranded polynucleotides, leading to hydrolysis, particularly of single-stranded RNA. Daytime solar UV radiation promoted the synthesis of organic molecules but caused broad damage to protocell macromolecules. We hypothesize that inter-related simultaneous adaptations to these hazards produced molecular dynamics necessary to store and use information. Self-replicating RNA heritably reduced the hydrolysis of single strands after separation during warmer daytime periods by promoting sequences that formed hairpin loops, generating precursors to transfer RNA (tRNA), and initiating tRNA-directed evolutionary dynamics. Protocell survival during daytime promoted sequences in self-replicating RNA within protocells that formed RNA–peptide hybrids capable of scavenging UV-induced free radicals or catalyzing melanin synthesis from tyrosine. The RNA–peptide hybrids are precursors to ribosomes and the triplet codes for RNA-directed protein synthesis. The protective effects of melanin production persist as melanosomes are found throughout the tree of life. Similarly, adaptations mitigating UV damage led to the replacement of Na+ by K+ as the dominant mobile cytoplasmic cation to promote diel vertical migration and selected for homochirality. We conclude that information dynamics emerged in early life through adaptations to predictably fluctuating opportunities and hazards during night/day cycles, and its legacy remains observable in extant life.

Spontaneous Pain and Pain Sensitivity in Response to Prolonged Experimental Sleep Disturbances-Potential Sex Differences.

Insomnia is a highly prevalent condition that predisposes individuals to many chronic pain disorders, with most of them showing pronounced sexual dimorphism. We investigated whether experimental insomnia-like sleep disturbances (ESD) affect spontaneous pain and pain sensitivity, and whether sex modulates pain responses. Twenty-four healthy participants (50% females, age 28.3 ± 5.9 years) participated in a study consisting of two 19-day in-laboratory protocols-an ESD protocol consisting of repeated nights of short and disrupted sleep with intermittent nights of undisturbed sleep and a control sleep (CS) protocol consisting of 18 nights with an undisturbed 8-h sleep opportunity. Spontaneous pain was assessed using electronic rating scales during daytime and night-time wake periods. Pain sensitivity was assessed through pressure and heat pain threshold measures every other day of the protocol. Females responded with higher daytime pain ratings in the ESD compared to the CS condition, while males responded with lower pain ratings (p < 0.05 for condition*sex). Spontaneous pain ratings were higher at night-time than during daytime and worsened across successive nights of sleep disturbances, independent of sex (p < 0.05 for condition*study day*daytime-night-time). Females developed greater pressure pain sensitivity, while males developed greater pain sensitivity to heat in the ESD compared to the CS condition (p < 0.05 for condition*sex). Pain responses to sleep disturbances strongly vary by sex and may contribute to sex differences in the prevalence and symptom burden of many chronic pain conditions. Because the study was not a priori powered on sex, findings are preliminary and require follow-up in larger samples. Findings further suggest to specifically target night-time pain in sleep disturbed individuals, for example, through optimised timing of analgesic-acting medications. Exploration of sex as a modulator suggest that sleep disturbances amplify spontaneous pain and pressure pain sensitivity to a greater extent in females than in males, and this may contribute to females' overrepresentation and disproportionate symptom burden observed for many pain-related disorders for which insomnia is comorbid or a risk factor.

Effects of timed LED regimes on tomato plant traits, performance of two-spotted spider mites, and predatory mites (Phytoseiulus persimilis).

Light-emitting diodes (LEDs) are being used in controlled environments to enhance crop production and pest management with most studies focusing on continuous treatments (applied throughout the entire daytime or nighttime period). Here, we tested the hypothesis that providing tomato plants with timed LED regimes (daily 3-h doses of red, blue, or far-red LED) during the day or at night may affect their traits (leaf reflectance indices, element composition, and phenolic profile), performance of two-spotted spider mites (Tetranychus urticae) (TSSM), and a species of predatory mite (Phytoseiulus persimilis). Nighttime LED regimes significantly altered leaf element composition: red LED increased K levels, blue LED enhanced Mg levels, and far-red LED enhanced Mn and Cu and reduced Zn levels. Among daytime LED regimes, blue LED reduced Zn level. Nighttime LED regimes significantly increased leaf glandular trichome densities (except far-red regime) and reduced total phenolic content. Among a series of leaf reflectance indices, ARI and CRI increased significantly in response to nighttime red and blue regimes but decreased with far-red LED regimes. Performance bioassays showed significantly lower TSSM populations on nighttime plants than on daytime and control plants. LED regimes did not affect predatory mites' population and their feeding capacity, except for blue daytime regime, which was reduced on mobile TSSM. These results suggest that timed LED regimes have potential to strategically manipulate plant-prey-predator interactions. We conclude that timed LED regimes can be crucial in designing integrated pest management strategies that promote both plant growth and effective biological control in controlled environments. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Prevalence of cell phone use while driving in different urban settings. A roadside observational study in maputo city, Mozambique.

All forms of cell phone use while driving poses a threat to traffic safety. Few studies have reported the prevalence from low- and middle-income countries where the risk of severe road traffic crashes is highest. This study aimed to ascertain the prevalence of cell phone use among motor vehicle drivers in Maputo city, Mozambique, considering different types of vehicles and cell phone use. A roadside observational study was conducted to assess cell phone use while driving in three typical urban environments (on straight roads, at intersections, and by roadside markets) during three daytime periods. The prevalence of use, expressed in percentages with 95% confidence intervals, was estimated by type of vehicle and sex. An overall 9.3% prevalence of cell phone use was observed among the 11680 completed observations of motor vehicle drivers. Prevalence was lower at intersections and by roadside markets (7.1% respective 7.5%) and higher on straight roads (12.9%) and, for men, three times as high among car drivers (10.3%) than among drivers of motorized three-wheelers (3.3%). Speaking/listening was more prevalent than texting/reading for both women (52.6% vs 36.1%) and men (46.4% vs 40.5%). At all three types of sites, men in trucks spoke/listened more than men in other type of vehicles while men in cars texted/read to a greater extent. The overall prevalence of cell phone use observed among motor vehicle drivers in Maputo city is in the upper range of those observed in high-income settings. Notwithstanding sex-related differences and variations by type of site and vehicle and coupled with the poor road safety conditions of the city - and of the country as a whole - and the imminent rise in cell phone ownership and internet connectivity, cell phone use at the wheel is a significant cause for concern and concerted actions are called for.

Seasonal and daily use of canal culverts by mammals, reptiles, amphibians, and invertebrates

AbstractLandscape connectivity is critical to the long‐term conservation of wildlife populations. Although anthropogenic linear infrastructures (ALI), including roads and canals, provide important resources to humans, they can affect wildlife through habitat fragmentation and reduced movement through landscapes. To increase landscape connectivity, crossing structures, including underpasses, can facilitate wildlife movement across landscapes experiencing ALI. However, little is known about how a suite of small‐ to medium‐sized species use underpasses across seasonal and daily time periods, especially for some ALI such as major canals. We used specialized camera technology (i.e., the Hobbs Active Light Trigger [HALT] camera) to evaluate use of culvert underpass crossing structures (hereafter culverts) along the Central Arizona Project canal, Arizona, by a suite of mammals, reptiles, amphibians, and invertebrates. Specifically, we evaluated (1) which wildlife species used culverts, (2) how the frequency of use varied across seasons (i.e., hot‐dry, hot‐wet, cool‐wet) and (3) daily activity patterns of wildlife using culverts. We detected 31 species of wildlife using culverts, which included small‐ to medium‐sized mammals (56.4% of crossings), reptiles (21.0% of crossings), amphibians (19.0% of crossings), and invertebrates (3.6% of crossings), including some species of conservation concern, such as the Sonoran Desert tortoise (Gopherus morafkai) and Gila monster (Heloderma suspectum). However, crossings by larger mammal species were less effectively detected with the HALT cameras. Reptile crossing frequency was similar between the 2 seasons that they were active during the hot‐dry (May–June) and hot‐wet (July–October) seasons and crossing frequency by some species of amphibians and invertebrates was higher in the hot‐wet season. Throughout the entire year, small mammals used culverts more frequently in hot seasons (i.e., hot‐wet and hot‐dry) compared to the cool‐wet (November‐March) season. In addition, daily activity patterns varied by species, where species crossed culverts during diurnal (e.g., desert spiny lizards, Sceloporus magister and coachwhip snakes, Masticophis flagellum), crepuscular (e.g., cottontail rabbits, Sylvilagus audubonii and western diamondback rattlesnakes, Crotalus atrox), and nocturnal (e.g., deer mouse species, heteromyid species, woodrat species, desert stink beetle species) time periods. Our information can be used to manage wildlife crossing areas and increase landscape connectivity in relation to ALI.

Emergence Rhythms and First Larval Stage Description of the Crab Chiromantes Boulengeri (Calman) from Shatt Al-Arab, Basrah, Iraq

The rhythmic behavior of emergence (locomotion) activity outside the burrows of the crab Chiromantes boulengeri (Calman) collected from the intertidal habitat of Shatt Al-Arab River, Basrah, Iraq was studied in the laboratory, with three light regimes (using 10 adult crabs, for 5 consecutive days for each light regime). Under natural illumination (daytime: night-time) the study revealed that the crabs exhibited high locomotor activity (M= 7.1 ind.) during the daytime that was significantly higher than the night-time (M= 4.1 ind.). The result showed no relationship between the locomotor activity of the crabs and the two daily tidal cycles as the two emergence rates during the expected tidal time, the HT &amp; LT (5.6 &amp; 4.6 ind.) were not statistically different from the overall average. When crabs were placed under constant darkness (DD), they showed rhythmic emergence activity during the expected daytime period (3.8 ind.), compared with the activity during the night-time (1.5 ind.), indicating an endogenous agent controlling the circadian rhythmic behavior. Under constant illumination (LL), the crabs showed high emergence activity during both, the expected daytime (6.17 ind.) and expected night-time (6.32 ind.), which shows the control of the exogenous light factor over the locomotion of the crabs. The second aim of this study was to describe the first larval stage of C. boulengeri for the first time through the breeding of egg-carrying females. The distinguishing characteristics of the crab from the other species close to it are described. Keywords: Chiromantes boulengeri; Emergence rhythms; Intertidal zone; Shatt Al-Arab River; Basrah.

Is the diel cycle of routine metabolic rate in mummichog (Fundulus heteroclitus) affected by near-infrared lighting used for visualizing behavior of fishes at night?

The metabolic rate of a freely moving fish (routine metabolic rate) is tightly coupled with volitional movement (spontaneous activity), both of which commonly show strong daily cycles linked to the species-specific diel activity pattern. Mummichog (Fundulus heteroclitus), an important estuarine fish in the north western Atlantic Ocean, are historically reported as diurnal (i.e., more active during daylight). Our recent laboratory studies on a Bay of Fundy population, however, showed a free-running (i.e., similarly active daytime and night-time) or even nocturnal (i.e., more active at night-time) diel activity pattern. In the laboratory, near-infrared (NIR) illumination is commonly used with a NIR-sensitive camera to visualize fish activity across the light-dark periods of the day. Because NIR light is close to the visible light spectrum and certain fishes show sensitivity to NIR, the use of NIR with mummichog possibly could disturb the animals and obscure the identification of their true diel activity pattern. We aimed to determine if NIR illumination (940 nm wavelength) influences the diel activity pattern of mummichog. We used measurements of routine metabolic rate (oxygen consumption rate, MO2) as a proxy for activity, as evaluating the effect of NIR requires treatments where NIR lights are off, which precludes visualization and direct assessment of fish activity at night-time. We measured routine MO2 of mummichogs over 6 days, exposed to either NIR off-on-off (2 days for each off or on period) or the opposite sequence of NIR on-off-on (to control for time-dependent effects). NIR lights did not influence the diel cycle of routine MO2, and activity by proxy, in mummichog. Thus, NIR illumination is a suitable method to visualize mummichog during light-dark diel cycles. Routine MO2, and presumably activity, was similar or higher during night-time periods compared to daytime periods, confirming a free-running or nocturnal activity pattern for at least certain populations of mummichog.

Temporal patterns of energy intake and physical activity and cross-sectional associations with body weight status in children and adolescents: results from the Portuguese National Food, Nutrition and Physical Activity Survey 2015-2016.

Temporal energy intake (EI) and physical activity (PA) patterns may be associated with obesity. We aimed to derive and characterise temporal EI and PA patterns, and assess their cross-sectional association with weight status, in 6-to-14-year-old Portuguese participants of the National Food, Nutrition and Physical Activity Survey 2015-2016. We extracted times and EI of all eating occasions from two 1-d food diaries/24-h recalls, while types and times of PA from 4-d PA diaries. We derived EI patterns (n 714) and PA patterns (n 595), using, respectively, a hierarchical and K-means cluster analysis, considering the average proportion of total daily EI (%TEI) and PA intensity (%TPA), within each 2-h interval across the 24-h day. Patterns were labelled based on the 2-h intervals of %TEI/TPA peaks. We assessed the association between patterns and overweight or obesity (BMI z-score ≥ +1 sd) using adjusted logistic regressions (OR (95 % CI)). Three EI patterns emerged: 1 - 'Early afternoon and early evening'; 2 - 'Early afternoon and late evening'; and 3 - 'Late morning, early and mid-afternoon and late evening'. EI Pattern 3 v. Pattern 1 was negatively associated with overweight or obesity (0·49 (0·26, 0·92)). PA Pattern 1 - 'Late morning, mid-afternoon and early evening' v. Pattern 2 - 'Late afternoon', was not associated with weight status (0·95 (0·65, 1·38)). A daily EI pattern with more and even%TEI peaks at earlier daytime periods, rather than fewer and higher, may be negatively associated with overweight or obesity amongst this population whereas the identified PA patterns might have no relationship.

Comparison of the Incidences of Anesthesia-Related Adverse Events in Patients Undergoing Surgery in the Daytime, Care Transition, and After-Hours Period

Background: The timing of surgery might affect anesthesia-related adverse events due to limited personnels, inadequate supervision, and/or lack of equipment, especially after-hours period. Objective: To compare the incidence of adverse anesthesia events in patients undergoing surgery in different periods of the day. Materials and Methods: A retrospective cohort study was performed in adult patients who undergone surgery under anesthesia at Siriraj Hospital in 2020. Patients were randomly selected and categorized into three groups according to the time of anesthesia, Group 1, daytime anesthesia group (8 a.m. to 4 p.m.), Group 2, anesthesia with care transition between the daytime and after-hours period, and Group 3, after-hours anesthesia group (4 p.m. to 8 a.m.). The patients’ demographic data, surgical-related, anesthesia data, and anesthesia-related adverse events were reviewed from the hospital electronic medical records. Analysis was performed to compare the incidence and determine the risk factors associated with adverse anesthesia events. Results: One thousand two hundred patients were included in the present study with 600, 400, and 200 patients in groups 1, 2, and 3, respectively. The overall incidence of adverse anesthesia events was 5.3% with 6.7%, 3.5%, and 5.0% in groups 1, 2, and 3, respectively (p=0.090). The most common adverse anesthesia event was difficult intubation at 1.5%. The factor found to be significantly associated with anesthesia-related adverse events was the non-operating room anesthesia (OR 5.97, 95% CI 2.94 to 12.13, p&lt;0.001). Conclusion: The present study was unable to demonstrate a significant difference in the incidences of anesthesia-related adverse events among the various anesthesia periods.

Cost-effective analysis focused on hypoglycemia of intermittent-scanning continuous glucose monitoring in type 1 diabetes adults: a ISCHIA randomized clinical trial.

This study aimed to compare the economic value of intermittent-scanning continuous glucose monitoring (isCGM) with self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes (T1D). Participants were placed on either an isCGM or SMBG arm for 84days, in a randomized, crossover setup with a 28-day washout period. Clinically relevant hypoglycemia (<54mg/dL) and severe hypoglycemia (SH) risks were calculated by analyzing the data from isCGM. The effectiveness variable was quality-adjusted life years (QALYs), and costs included medical costs related to the SMBG device. In addition, we performed a sensitivity analysis using a tornado diagram to confirm the robustness of the results. A total of 93 Japanese T1D adults (51.4 ± 15.3years old, male 47.3%, and HbA1c 7.3 ± 0.7%) treated with multiple daily insulin injection (MDI). Compared to the SMBG arm, clinically relevant hypoglycemia and SH risks over daytime (2.7 ± 1.7 vs. 2.4 ± 1.6 times; P = 0.008 and 3.1 ± 3.2 vs. 2.2 ± 2.7; P = 0.001) and night-time periods (2.1 ± 1.6 → 1.7 ± 1.2; P < 0.001 and 5.1 ± 4.0 → 4.2 ± 3.8; P = 0.013) were reduced with isCGM treatment. The isCGM system was associated with an incremental gain in quality-adjusted life expectancy (QALE) of 0.8 QALYs compared with the SMBG arm (74.6 vs. 73.8 QALYs). The resulting incremental cost-effectiveness ratio was JPY4,398,932 (US$41,212) per QALY gained, which is well below the generally accepted cost-effectiveness threshold. SH during the daytime period was the primary driver of the incremental QALE. The findings suggest that isCGM use for Japanese T1D adults treated with MDI is cost saving relative to SMBG.

Two-week continuous glucose monitoring-derived metrics and degree of hepatic steatosis: a cross-sectional study among Chinese middle-aged and elderly participants

BackgroundContinuous glucose monitoring (CGM) devices provide detailed information on daily glucose control and glycemic variability. Yet limited population-based studies have explored the association between CGM metrics and fatty liver. We aimed to investigate the associations of CGM metrics with the degree of hepatic steatosis.MethodsThis cross-sectional study included 1180 participants from the Guangzhou Nutrition and Health Study. CGM metrics, covering mean glucose level, glycemic variability, and in-range measures, were separately processed for all-day, nighttime, and daytime periods. Hepatic steatosis degree (healthy: n = 698; mild steatosis: n = 242; moderate/severe steatosis: n = 240) was determined by magnetic resonance imaging proton density fat fraction. Multivariate ordinal logistic regression models were conducted to estimate the associations between CGM metrics and steatosis degree. Machine learning models were employed to evaluate the predictive performance of CGM metrics for steatosis degree.ResultsMean blood glucose, coefficient of variation (CV) of glucose, mean amplitude of glucose excursions (MAGE), and mean of daily differences (MODD) were positively associated with steatosis degree, with corresponding odds ratios (ORs) and 95% confidence intervals (CIs) of 1.35 (1.17, 1.56), 1.21 (1.06, 1.39), 1.37 (1.19, 1.57), and 1.35 (1.17, 1.56) during all-day period. Notably, lower daytime time in range (TIR) and higher nighttime TIR were associated with higher steatosis degree, with ORs (95% CIs) of 0.83 (0.73, 0.95) and 1.16 (1.00, 1.33), respectively. For moderate/severe steatosis (vs. healthy) prediction, the average area under the receiver operating characteristic curves were higher for the nighttime (0.69) and daytime (0.66) metrics than that of all-day metrics (0.63, P < 0.001 for all comparisons). The model combining both nighttime and daytime metrics achieved the highest predictive capacity (0.73), with nighttime MODD emerging as the most important predictor.ConclusionsHigher CGM-derived mean glucose and glycemic variability were linked with higher steatosis degree. CGM-derived metrics during nighttime and daytime provided distinct and complementary insights into hepatic steatosis.

Evaluation of Scikit-Learn Machine Learning Algorithms for Improving CMA-WSP v2.0 Solar Radiation Prediction

This article aims to evaluate the performance of solar radiation forecasts produced by CMA-WSP v2.0 (version 2 of the China Meteorological Administration Wind and Solar Energy Prediction System) and to explore the application of machine learning algorithms from the scikit-learn Python library to improve the solar radiation prediction made by the CMA-WSP v2.0. It is found that the performance of the solar radiation forecasting from the CMA-WSP v2.0 is closely related to the weather conditions, with notable diurnal fluctuations. The mean absolute percentage error (MAPE) produced by the CMA-WSP v2.0 is approximately 74% between 11:00 and 13:00. However, the MAPE ranges from 193% to 242% at 07:00–08:00 and 17:00–18:00, which is greater than that observed at other daytime periods. The MAPE is relatively low (high) for both sunny and cloudy (overcast and rainy) conditions, with a high probability of an absolute percentage error below 25% (above 100%). The forecasts tend to underestimate (overestimate) the observed solar radiation in sunny and cloudy (overcast and rainy) conditions. By applying machine learning models (such as linear regression, decision trees, K-nearest neighbors, random forests regression, adaptive boosting, and gradient boosting regression) to revise the solar radiation forecasts, the MAPE produced by the CMA-WSP v2.0 is significantly reduced. The reduction in the MAPE is closely connected to the weather conditions. The models of K-nearest neighbors, random forests regression, and decision trees can reduce the MAPE in all weather conditions. The K-nearest neighbor model exhibits the most optimal performance among these models, particularly in rainy conditions. The random forest regression model demonstrates the second-best performance compared to that of the K-nearest neighbor model. The gradient boosting regression model has been observed to reduce the MAPE of the CMA-WSP v2.0 in all weather conditions except rainy. In contrast, the adaptive boosting (linear regression) model exhibited a diminished capacity to improve the CMA-WSP v2.0 solar radiation prediction, with a slight reduction in MAPE observed only in sunny (sunny and cloudy) conditions. In addition, the input feature selection has a considerable influence on the performance of the machine learning model. The incorporation of the time series data associated with the diurnal variation of solar radiation as an input feature can further improve the model’s performance.

Occupant-driven end use load models for demand response and flexibility service participation of residential grid-interactive buildings

As demand response becomes increasingly used as a tool to support improved grid flexibility, it is important to consider that there are many potential types of energy end uses that may be used to support such flexibility. Residential appliances, often accounting for 30 % or more of residential energy use, are a currently untapped source of demand flexibility, particularly when aggregated together across homes. To date there has been very limited analysis of residential appliances for use as grid-interactive loads. As such, this research uses disaggregated energy end use data for 564 households, to model the electricity demand flexibility potential of the use of residential dishwashers, clothes washers, clothes dryers, ovens, and ranges (oven + stovetop) on both weekdays and weekends. This includes both at the building level, as well as aggregated to the grid level, specifically the Midcontinent Independent System Operator (MISO) region. This study was divided into two parts. Part 1 focuses on determining appliance-level loads, and Part 2, which involves aggregation to the grid. Findings suggest that among the studied appliances, clothes dryers provide the greatest demand reduction potential for most times of the day, followed by dishwashers and clothes washers. The maximum potential reduction for clothes dryers is found to be approximately at 11:00 a.m. and this potential sustains throughout most of the daytime period. When considering the willingness of households to participate, based on a survey of households in the Midwest region, clothes dryers still have the most potential for demand reduction. The availability of appliances for load modulation on weekdays and weekends indicates similar load reduction potential for all appliances. Overall, the results of this study suggest that there is an opportunity for shifting appliance usage to optimize grid efficiency and enhance demand response strategies.

A pilot study to detect the effects of a green-lipped mussel (Perna canaliculus) nutraceutical on working farm dogs with musculoskeletal abnormalities using accelerometry

ABSTRACT Aims To obtain preliminary data on changes in gait from the use of a green-lipped mussel (Perna canaliculus) extract product in working farm dogs with musculoskeletal abnormalities using accelerometry. Methods: New Zealand working farm dogs (n = 32) with signs of musculoskeletal abnormalities were enrolled in a double-blinded, placebo-controlled cross-over study. Each dog was allocated to one of six groups to receive three trial substances (180 mg full fat green-lipped mussel extract (GLME180); 220 mg full fat green-lipped mussel extract (GLME220); placebo) in one of the six possible different orders. Each trial substance was administered orally once a day for an 8-week period, with a 4-week washout in between each. Dogs wore a collar-mounted triaxial accelerometer for the study duration. Diet and activity were not controlled. Accelerations were recorded continuously and analysed (n = 27) in 10-second activity epochs partitioned into daytime and night-time periods. Analysis of activity during the daytime period was limited to epochs when dogs were gaiting faster than a walk. The median and IQR of activity were determined for the daytime and night-time. Additionally, the 75th and 90th percentiles of daytime activity for each 24-hour period were determined. Mixed effects linear regression models were constructed to determine if each trial substance altered the response variables. Results During the daytime, the 90th percentile was higher when dogs were given GLME220 compared with the placebo (β coefficient 2.6; 95% CI = 0.25–4.94; p = 0.03). Dogs that started the trial with the GLME products had a higher 90th percentile activity compared with dogs that began with the placebo (β coefficient 26.26; 95% CI = 0.45–52.06; p = 0.046). The 75th percentile for activity was not affected by the GLME product. The daytime IQR was larger when dogs were given the GLME180 product compared with the placebo (β coefficient 1.25; 95% CI = 0.12–2.37; p = 0.03). Night-time median activity and the IQR was greater in dogs that started the trial with the GLME products than in dogs that began with the placebo. The night-time IQR for activity was greater for GLME180 than for the placebo. Conclusions Administration of a low dose of the GLME-containing product increased peak activity in working farm dogs with signs of musculoskeletal abnormalities and may improve their performance. Clinical relevance Even mildly affected working farm dogs might benefit from support of their musculoskeletal abnormalities, and this particular GLME-based product shows promise as an adjunct to other management strategies.

Dialysate Sodium Levels, Ambulatory Aortic Blood Pressure, and Arterial Stiffness in Hemodialysis Patients.

Increased aortic blood pressure (BP) and arterial stiffness are associated with higher cardiovascular risk in hemodialysis. Previous works showed that lower dialysate sodium is associated with lower brachial-BP; data on aortic-BP and arterial stiffness are limited. This study aimed to investigate the effects of different dialysate sodium concentrations on 72-hour aortic-BP and arterial stiffness parameters in hemodialysis patients. This analysis is part of a prospective, non-randomized interventional study. Twenty-five hemodialysis patients underwent a set of 3 periods of different dialysate sodium concentrations; 6 sessions with dialysate sodium of 137 mEq/l, followed consecutively by 6 sessions with 139 mEq/l and, finally, 6 sessions with 141 mEq/l. At the start of the sixth hemodialysis session on each sodium concentration, 72-hour ABPM (Mobil-O-Graph) was performed to evaluate aortic-BP and arterial stiffness indices during the overall 72-hour, different 24-hour, daytime, and nighttime periods. Mean 72-hour aortic systolic blood pressure (SBP)/diastolic blood pressure (DBP) were higher with increasing dialysate sodium concentrations (137 mEq/l: 114.2 ± 15.3/77.0 ± 11.8 mm Hg vs. 139 mEq/l: 115.4 ± 17.3/77.9 ± 14.0 mm Hg vs. 141 mEq/l: 120.5 ± 18.4/80.5 ± 14.7 mm Hg, P = 0.002/P = 0.057, respectively). Wave-reflection parameters (AIx, AIx(75), AP) were not significantly different between the 3 dialysate sodium concentrations. Ambulatory pulse wave velocity (PWV) was significantly higher with increasing dialysate sodium concentrations (137 mEq/l: 8.5 ± 1.7 m/s vs. 139 mEq/l: 8.6 ± 1.6 m/s vs. 141 mEq/l: 8.8 ± 1.6 m/s, P < 0.001). In generalized linear mixed models including 72-hour brachial SBP as a random covariate, the adjusted marginal means of 72-hour PWV were not significantly different between groups. This study showed that higher dialysate sodium concentrations are associated with significant increases in ambulatory aortic BP and PWV. These findings further support the need for modification of dialysate sodium concentration in hemodialysis.

Short-Term Variability of Both Brachial and Aortic Blood Pressure is Increased in Patients with Immune-mediated Chronic Inflammation.

Blood pressure (BP) variability (BPV) has emerged as an indicator of subclinical organ damage and an independent predictor of cardiovascular disease (CVD) morbidity and mortality in high-risk populations. We aimed to assess short-term variability of both brachial and aortic BP in psoriasis, a common immune-mediated inflammatory disorder characterized by increased CVD risk. Psoriasis patients and non-psoriasis individuals had their BP assessed throughout a 24h period (Mobil-O-Graph device). Brachial and aortic BPV during the 24h and the respective daytime and nighttime periods was calculated from relevant ambulatory BP profiles. In-house software was applied to automatically calculate average real variability (ARV) of brachial and aortic systolic (bSBP, aSBP) and diastolic BP (bDPB, aDBP), and the weighted standard deviation (wSD) of 24h bSBP/aSBP. 24h pulse wave velocity (PWV) and augmentation index (AIx) were used as widely applied markers of arterial stiffness. Psoriasis patients (n = 74) presented increased ARV of 24h and daytime bSBP/aSBP, and increased ARV of 24h and daytime bDBP/aDBP, compared to controls (n = 40). PWV and AIx correlated with ARV of 24h bSBP/aSBP, daytime bSBP/aSBP, while PWV further correlated with ARV of nighttime aSBP. The observed associations with PWV, yet not AIx, with indices of BPV remained significant after adjusting for CVD risk factors. This is the first study reporting increased 24h variability of both brachial and aortic BP in psoriasis. The association of short-term BPV with arterial stiffness implies a potential role of BPV in terms of CVD risk stratification in patients with chronic immune-mediated inflammation.

Changes in Compound Hot Extremes over the Mid–High Latitudes of Asia and the Underlying Mechanisms

Abstract This study investigates the spatiotemporal variations of the summer frequency of daytime–nighttime compound extreme high-temperature events (FCEHEs) in the mid–high latitudes of Asia (MHA) from 1979 to 2014. Results show that FCEHE has shown an upward trend with fluctuations, especially in Mongolia–Baikal. The descending anomaly caused by the anomalous high pressure over Mongolia–Baikal results in reduced cloud cover, which increases solar radiation reaching the ground, favoring the higher FCEHE. This process is consistent during the daytime and nighttime periods, with relatively limited nighttime solar radiation, potentially compensated by the increased downward longwave radiation to sustain the extreme high temperatures. This benefit process is closely connected with two main factors: the increased sea ice in the Barents Sea during spring and the anomalously warm sea surface temperature (SST) in the Northwest Pacific during summer. The increased sea ice can affect the Eurasia (EU) teleconnection, while the warm SST affects the Pacific-Japan/East Asia–Pacific pattern (PJ/EAP). Subsequently, these factors further modulate the circulation anomalies and then FCEHE. Significance Statement This study provides valuable insights into the spatiotemporal variations and the possible underlying mechanisms for change in the frequency of daytime–nighttime compound extreme high-temperature events (FCEHEs) in the mid–high latitudes of Asia. The spring sea ice anomalies over the Barents Sea and summer sea surface temperature anomalies in the Northwest Pacific affect the local anticyclonic circulation in Mongolia–Baikal through Eurasia (EU) and Pacific-Japan/East Asia–Pacific (PJ/EAP) patterns, respectively. The resulting descending anomaly and reduced cloud cover contribute to interannual variations of FCEHE, which is highly similar during the daytime and nighttime periods. During the nighttime, when the solar radiation is relatively limited, the increased downward longwave radiation may compensate to sustain extreme high temperatures.

A WORKLOAD DEPENDENT RESOURCE CONSTRAINED SCHEDULING PROBLEM FOR NAVY HELICOPTER PILOTS

In this paper, we consider a problem inspired by a real-life problem, which aims to schedule high multiplicity jobs on a single machine by taking into account the organization-specific constraints in a different schedule structure. The schedule is daily with daytime and nighttime periods. The operator is considered as an additional resource that varies in terms of consumption and scheduling depending on the period. There are specific rest periods before and after night-period jobs, and night-period jobs affect both the daily working time and number of the jobs in the daytime- period. In addition, the operator's daily workload is divided into two categories: normal and heavy. If the workload is heavy on consecutive days, specific rest periods must be scheduled. The integer programming model of the problem is presented. The feasible solutions obtained in a short time with greedy constructive heuristic algorithms are used in the exact solution approach as both upper bound and warm-start point. Finally, the effectiveness of the solution approaches is compared and evaluated through numerical experiments carried out for a variety of problem instances of different sizes.

Exploration of COVID-19 associated bradycardia using heart rate variability analysis in a case-control study of ARDS patients

BackgroundBradycardia and dysautonomia observed during SARS-Cov2 infection suggests involvement of the autonomic nervous system (ANS). Limited data exists on ANS dysregulation and its association with outcomes in patients with acute respiratory distress syndrome (ARDS) related to COVID-19 (C-ARDS) or other etiologies (NC-ARDS). ObjectivesWe aimed to explore sympathovagal balance, assessed by heart rate variability (HRV), and its clinical prognostic value in C-ARDS compared with NC-ARDS. MethodsA single-center, prospective case-control study was conducted. Consecutive patients meeting ARDS criteria between 2020 and 2022 were included. HRV was assessed using 1-hour electrographic tracing during a stable, daytime period. ResultsTwenty-four patients with C-ARDS and 19 with NC-ARDS were included. Age, sex and ARDS severity were similar between groups. The median heart rate was markedly lower in the C-ARDS group than in the NC-ARDS group (60 [53–72] versus 101 [91–112] bpm, p<.001). Most of HRV parameters were significantly increased in patients with C-ARDS. HRV correlated with heart rate only in patients with C-ARDS. A positive correlation was found between the low-to high-frequency ratio (LF/HF) and length of intensive care unit stay (r = 0.576, p<.001). ConclusionThis study confirmed that C-ARDS was associated with marked bradycardia and severe ANS impairment, suggesting a sympathovagal imbalance with vagal overtone. Poor outcomes appeared to be more related to sympathetic rather than parasympathetic hyperactivation.

Reducing Waiting Times and Admission Periods through Pre-Admission Testing: A Quality Improvement Study on In-Hospital Renal Biopsy.

Background: Admission for renal biopsy is considered the gold standard for diagnosing kidney disease. However, prolonged waiting times for admission can lead to delayed diagnosis. Despite this issue, there are currently no studies demonstrating how to improve the efficiency of renal biopsy procedures. Methods: We initiated a quality improvement project to implement pre-admission testing (PAT) for renal biopsy from 2016 to 2024 (until 15 April). Our evaluation focused on waiting times for admission, length of admission periods, hospitalization expenses, percentage of cases with no renal biopsy performed, incidence of severe bleeding due to renal biopsy, and percentage of cases with adequate tissue samples obtained. Additionally, we highlighted the time periods during the outbreak of SARS-CoV-2. Results: The highest annual case number was observed in time period 1 (168.3/year). Following the outbreak of SARS-CoV-2, there was a notable decrease in case numbers during time period 2 (119.8), which then increased to 143.0 in time period 3 (post-SARS-CoV-2 era). The mean waiting time was 13.72 ± 40.30 days for time period 1 and 10.00 ± 47.80 days for time period 2, without statistical significance. Following the implementation of PAT, patients now only need to wait approximately 0.76 days for admission, representing a significant reduction in waiting time. Subsequently, following the implementation of PAT, the waiting time decreased significantly to 2.09 ± 2.65 days. Additionally, hospitalization expenses per patient significantly decreased from approximately USD 69.62 ± 97.09 to USD 41.66 ± 52.82. The percentage of missed biopsy is significantly low (p < 0.001). Severe bleeding events (indicated as embolization and blood transfusion) were consistent across the three time periods (p = 0.617). Conclusions: The implementation of PAT can improve the pre-admission process for renal biopsy, resulting in decreased waiting times, fewer missed appointments, shorter admission durations, and reduced hospitalization expenses. We propose implementing PAT for outpatient individuals awaiting in-hospital renal biopsy procedures to mitigate delayed diagnosis, reduce pre-admission waiting periods, and streamline admission processes, thereby enhancing overall patient care efficiency.