Daily Cycle Research Articles

Deep learning to extract the meteorological by-catch of wildlife cameras.

Microclimate-proximal climatic variation at scales of metres and minutes-can exacerbate or mitigate the impacts of climate change on biodiversity. However, most microclimate studies are temperature centric, and do not consider meteorological factors such as sunshine, hail and snow. Meanwhile, remote cameras have become a primary tool to monitor wild plants and animals, even at micro-scales, and deep learning tools rapidly convert images into ecological data. However, deep learning applications for wildlife imagery have focused exclusively on living subjects. Here, we identify an overlooked opportunity to extract latent, ecologically relevant meteorological information. We produce an annotated image dataset of micrometeorological conditions across 49 wildlife cameras in South Africa's Maloti-Drakensberg and the Swiss Alps. We train ensemble deep learning models to classify conditions as overcast, sunshine, hail or snow. We achieve 91.7% accuracy on test cameras not seen during training. Furthermore, we show how effective accuracy is raised to 96% by disregarding 14.1% of classifications where ensemble member models did not reach a consensus. For two-class weather classification (overcast vs. sunshine) in a novel location in Svalbard, Norway, we achieve 79.3% accuracy (93.9% consensus accuracy), outperforming a benchmark model from the computer vision literature (75.5% accuracy). Our model rapidly classifies sunshine, snow and hail in almost 2 million unlabelled images. Resulting micrometeorological data illustrated common seasonal patterns of summer hailstorms and autumn snowfalls across mountains in the northern and southern hemispheres. However, daily patterns of sunshine and shade diverged between sites, impacting daily temperature cycles. Crucially, we leverage micrometeorological data to demonstrate that (1) experimental warming using open-top chambers shortens early snow events in autumn, and (2) image-derived sunshine marginally outperforms sensor-derived temperature when predicting bumblebee foraging. These methods generate novel micrometeorological variables in synchrony with biological recordings, enabling new insights from an increasingly global network of wildlife cameras.

Genetic background and thermal regime influence adaptation to novel environment in the seed beetle, Callosobruchus maculatus.

Climate change is associated with the increase in both the mean and variability of thermal conditions. Therefore, the use of more realistic fluctuating thermal regimes is the most appropriate laboratory method for predicting population responses to thermal heterogeneity. However, the long- and short-term implications of evolving under such conditions are not well understood. Here, we examined differences in key life-history traits among populations of seed beetles (Callosobruchus maculatus) that evolved under either constant control conditions or in an environment with fluctuating daily temperatures. Specifically, individuals from two distinct genetic backgrounds were kept for 19 generations at one of two temperatures, a constant temperature (T = 29 °C) or a fluctuating daily cycle (Tmean = 33 °C, Tmax = 40 °C, and Tmin = 26 °C), and were assayed either in their evolved environment or in the other environment. We found that beetles that evolved in fluctuating environments but were then switched to constant 29 °C conditions had far greater lifetime reproductive success compared with beetles that were kept in their evolved environments. This increase in reproductive success suggests that beetles raised in fluctuating environments may have evolved greater thermal breadth than control condition beetles. In addition, the degree of sexual dimorphism in body size and development varied as a function of genetic background, evolved thermal environment, and current temperature conditions. These results not only highlight the value of incorporating diel fluctuations into climate research but also suggest that populations that experience variability in temperature may be better able to respond to both short- and long-term changes in environmental conditions.

Study of the Effect of Different Atmospheric Conditions on the Temporal Evolution of the Mixing Layer over Madrid during the Year 2020 by Means of Two Different Methods: Ceilometer Signals and the ECMWF-IFS Meteorological Model

Atmospheric aerosols are one of the main factors that contribute to poor air quality. These aerosols are mostly concentrated within the atmospheric boundary layer (ABL) and mixing layer (ML). The ABL extends from ground level to the lowest level of the troposphere directly affected by surface temperature, solar irradiance, the orography and its proximity to coastal areas, causing turbulence in a daily cycle. This turbulence controls the vertical mixing of aerosols and pollutants and their dispersion in the ML. Therefore, proper characterization of these layers is of crucial importance in numerical weather forecasting and climate models; however, their estimation nowadays presents some spatial and temporal limitations. In order to deal with these limitations and to assess the influence of different meteorological conditions on the temporal evolution of the aforementioned layers, the evolution of the ML over Madrid (Spain) has been studied for the year 2020 by means of ceilometer profiles fed into the STRATfinder algorithm. This algorithm is able to give reliable estimates of the height of the ABL (ABLH) and ML (MLH). The results are compared with the ECMWF-IFS model predictions, which is able to compute the MLH under any meteorological condition. Then, the influence of the meteorology in the estimation of MLHs was established by classifying data based on the season and six different prevalent synoptic meteorological situations defined using ground-level pressure fields, as well as by splitting the days into four periods (morning, daytime, evening and nighttime). Our results show that both datasets, the STRATfinder values and the ECMWF-IFS model computations, are very sensitive to the meteorological conditions that play a main role in the MLH temporal evolution. For instance, high solar irradiance and ground radiation cause high turbulence and convection that lead to a well-developed ML. In cases in which the ML is well developed, both methods show similar results, and there are therefore better correlations between them. On the contrary, the results presented here show that the presence of high relative humidity and low temperatures hamper the growth of the ML, causing different errors in both MLH estimations and poor correlations between them. Furthermore, the ECMWF-IFS model has shown a sharp decrease, identified as an artificial behavior from 16:00 UTC, because of the influence of low solar zenith angles and the temporal interpolation. The STRATfinder algorithm also shows a sharp decrease just before the sunset because of the way the algorithm distinguishes between the ML and the residual layer. Thus, this study concludes that the MLH temporal evolution still needs to be characterized using complementary tools, since the methods presented here are strongly affected by the meteorological conditions and do not show enough reliability to work individually. However, ceilometer measurements offer great potential as a correction tool for ABL heights derived from models involved in air pollution dispersion assessments.

A Novel PI3K γ/δ and DNA-PK Triple Inhibitor, BR101801, for r/r PTCL: A Phase 1a/b, Multi-Center, Open-Label Clinical Trial

Background BR101801, a triple inhibitor of PI3Kγ/δ and DNA-PK, inhibits not only the signal affecting cell growth caused by PI3Kγ/δ but also efficiently induces cell cycle arrest and apoptosis through inhibition of DNA-PK activation, with this triple target inhibition it decreases the stability of oncogenic protein, c-Myc (AACR2020 abstract #655). BR101801 is currently being evaluated in a phase 1a/b study in advanced hematologic malignancies. In phase 1a study, BR101801 exhibited evidence of clinical activity and was established at 200mg orally once daily 28-day cycle (RP2D) in patients with r/r PTCL (ASCO2023 abstract #7551). Methods This is a phase 1, open-label, multi-center, dose escalation (1a), and expansion (1b) study of BR101801 in adult patients with advanced hematologic malignancies (NCT04018248). In the phase 1a study, Dose was escalated at 50, 100, 200 and 325 mg QD. PTCL-NOS, AITL, FTCL and Nodal PTCL with TFH phenotype were determined as target indications for phase 1b with the RP2D. Results As of Jul 19, 2023, a total of 26 patients were enrolled in dose-escalation phase (n=12) and dose-expansion phase (n=14). The median age was 66 years (range of 30-83). Histological subtypes include PTCL-NOS (n=11, 42%), AITL (n=11, 42%), DLBCL (n=2, 8%), MZL (n=1, 4%) and MF (n=1, 4%). The majority of patients had stage III or IV (92%). In the phase 1a study, Dose limiting toxicity (DLT) occurred at 325 mg; thus, 200 mg QD was determined as the maximum tolerated dose (MTD) and RP2D. Of 19 evaluable patients with r/r PTCL (PTCL-NOS and AITL) in the phase 1 study. Patients' stage was III or IV (100%) with 47.4 % of patients having received three or more prior systemic therapies. The ORR was 31.6% (95% CI, 12.6-56.6) with 4 CRs (21.1%) and 2 PRs (10.5%), CBR was 47.4% (95% CI, 24.5-71.1). In median follow-up duration of 12.9 months, the median PFS was 7.5 months (95% CI, 1.7-NC), median OS and DoR (range of 1.9+-31.8+) has not reached. Currently, 5 patients still remain on treatment. Safety analysis was conducted for the 26 patients; 23 patients (88.5%) experienced adverse events (AEs). The most common (≥ 20%) AEs were Rash (23.1%), AST increased (23.1%), ALT increased (23.1%) and Cough (23.1%). Grade 3/4 ADRs occurred in 12 patients (46.2%) and those were (≥ 10%, frequency) AST increased (19.2%), ALT increased (15.4%), Neutropenia (15.4%). There were no treatment related mortality observed. Conclusion BR101801, the triple inhibitor of PI3K γ/δ and DNA-PK, demonstrated as a promising therapeutic option for r/r PTCLs patients. Preliminary results showed the ORR of 31.6% and a CR rate of 21.1%. Phase 2 study is warranted further investigate the safety and efficacy of BR101801 in r/r PTCL and Nodal TFH cell lymphoma at 200 mg QD orally.

Investigation on the Through-Thickness Temperature Gradient and Thermal Stress of Concrete Box Girders

Bridges are generally affected by thermal loads which include the daily cycle, seasonal cycle and annual cycle. Thermal loads mode and thermal effects on bridges, especially for concrete girders, are quite essential but complicated. To investigate the temperature field and thermal stress in the thickness direction of a concrete box girder, the temperature field of a prestressed concrete continuous box girder bridge is monitored, and the temperature distribution in the thickness direction of the concrete box girder is analyzed. Finite element simulation, utilizing air elements specifically designed for concrete box girders, is employed to analyze the temperature field and thermal stress profiles along the thickness of the slab. The findings indicate a variation in temperature along the thickness of the concrete box girder slab. The most significant temperature differential, reaching up to 10.7 °C, is observed along the thickness of the top slab, followed by the bottom plate, with the web exhibiting relatively smaller differentials. Temperature in the full thickness range has a significant impact on the top plate, while the web plate and bottom plate are greatly influenced by temperature ranging from the outer surface to the center of the plate thickness. The temperature difference between the center of the plate thickness and the inner surface is approximately 0. The variation in temperature due to the variation in thickness direction is a temporal factor, wherein the outer layer of the roof is primarily compressed, while the inner layer is subjected to tension. The external surface of the web is mainly compressed. The stress exerted by the internal surface temperature is minimal. The internal and external surface effects of the floor are similar, and as time passes, tensile and compressive stresses appear.

Behavior of 222Rn, 220Rn and their progenies along a daily cycle for different meteorological situations: Implications on atmospheric aerosol residence times and Rn daughters' equilibrium factors

The correct assessment of the radiological hazard from radon and daughters, external and internal doses, residence times and equilibrium factors, implies the need to properly determine 222Rn (radon), 220Rn (thoron) and their respective short-lived progenies (214Pb and 214Bi, and 212Pb and 212Bi, respectively), where the precise measurements of both progenies are quite complex due to their very short half-lives. In addition, it is important to study the temporal behavior of all these radionuclides along daily cycles. Therefore, the aim of this study was to analyze the temporal evolution of radon, thoron and their progenies, and of their activity ratios along daily cycles for two different meteorological situations (synoptic and mesoscale processes). Radon and thoron were measured using a radon monitoring system, while their respective progenies were collected onto atmospheric filters using an ASS-500 sampler, and then measured by gamma-ray spectrometry. Furthermore, the different relationships between the concentrations of radionuclides and the different meteorological variables of interest (temperature, ABL height, and speed and direction of the wind) were found. Finally, the atmospheric aerosol residence times and Rn daughters’ equilibrium factors were estimated for each sampling carried out along the two daily cycles, finding results consistent with previous studies.

Nursery areas of Micromesistius poutassou and Sardina pilchardus unveil their reproductive strategies in the northwestern Mediterranean Sea

AbstractWinter conditions in the NW Mediterranean cause instability of the water column and non‐geostrophic dynamics, such as vertical mixing and convection are significant. These events involve nutrient supply to the photic zone that can sustain high productivity. In this study, we aim to investigate the role of winter hydrodynamics on the spawning strategies of Sardina pilchardus and Micromesistius poutassou. Data were obtained on two oceanographic cruises (February 2017 and 2018) off the Catalan coast. The occurrence of S. pilchardus eggs very close to the coast indicated a clear preference of the species for spawning in coastal areas. Preflexion and postflexion larvae exhibited a slightly wider distribution showing a clear association with the cold, less saline and more productive coastal waters. Preflexion larvae of M. poutassou were found on the upper slope and over the shelf, being offshore limited by the shelf/slope front present all along the slope. The front would act as a barrier preventing their dispersion towards the open sea. M. poutassou larvae in advanced developmental stages were located close to the coast in the productive shelf waters, with instabilities of the front contributing to larval transport from offshore waters to the coast. The vertical distribution of both species showed high variability, not only related with the daily cycle or developmental stage, but also with the vertical structure of the water column. Overall, the results provide some clues on how the spawning strategies of both species may evolve under future scenarios of higher winter‐stratification, because of the global warming.

Metabolic processes control carbon dioxide dynamics in a boreal forest ditch affected by clear-cut forestry

Boreal watercourses are large emitters of carbon dioxide (CO2) to the atmosphere. For forestry intensive areas of the Nordic and Baltic countries, a high share of these watercourses are man-made ditches, created to improve drainage and increase forest productivity. Previous studies have suggested that terrestrial sources sustain the CO2 in these ditches and variability in hydrology is the main temporal control. However, few studies have explored ditch CO2 dynamics and its associated controls in catchments being exposed to forest harvest. An altered hydrology, increased nutrient export and light availability following forest harvest are all factors that potentially can change both levels, dynamics, and source controls of ditch CO2. Here, high-frequency (30 min) CO2 concentration dynamics together with other hydrochemical variables were studied in a forest ditch draining a fully harvested catchment in the Trollberget Experimental Area, northern Sweden. We collected data during the snow-free season from May to October. Ditch CO2 concentrations displayed a clear seasonal pattern with higher CO2 concentrations during summer than in spring and autumn. Concentrations ranged from 1.8 to 3.5 mg C L−1 (median: 2.4 mg C L−1, IQR = 0.5 mg C L−1). Strong diel cycles in CO2 developed during early summer, with daily amplitudes in CO2 reaching up to 1.1 mg C L−1. These pronounced daily cycles in CO2 were closely related to the daily sum of shortwave radiation and water temperature. Variations in hydrology had generally a low impact on the CO2 dynamics but did vary among seasons and between individual hydrological events. It was evident from our study that growing season CO2 concentrations in a forest ditch affected by clear-cut harvest were highly variable and mainly controlled by light and temperature induced metabolism. These high dynamics and the associated controls need to be considered when scaling up ditch CO2 emissions across boreal landscapes affected by intensive forestry.

A preliminary study on the formation of acid mine drainage through rock geochemical test in the coal mining areas

Acid mine drainage (AMD) is the biggest issue occurring in every mining industry. Therefore, it is necessary to check the rock, particularly its potency to form acid mine drainage. PT X in Lahat, South Sumatra does not yet own a distribution model for the PAF and NAF rocks. Thus, this research was conducted to determine the distribution of PAF and NAF rocks as an initial potency for the formation of acid mine drainage. Six samples in the field were taken from the pit walls, in which these sample codes were A, B, C, D, E, and F, respectively. These samples were subjected to the static and kinetic tests in the laboratory. The static test showed that a sample with a potency to form acid was sample E, while the other five samples did not have any potency to form acid. Afterwards, kinetic tests were conducted with a daily cycle for 25 days. The result showed that the sample F had lower pH value, compared with the other five samples. Thus, based on this study, it can be concluded that the only sample having the potency to form acid was sample F, while the other samples, namely A, B, C, D, and E, respectively, did not have any potency to form acids.

Design effects of cycle infrastructure changes: An exploratory analysis of cycle levels

IntroductionCycling infrastructure policies yield health and environmental benefits. However, design variations may impact intervention effectiveness. This study explored relationships between infrastructure form (e.g., width, length) and function (e.g., access, safety) and cycling behavior. MethodsWe analysed data from a study evaluating 15 streets with new cycling infrastructure improvements in Paris and Lyon. Comparison streets were chosen based on having similar pre-intervention cycling trends and periods of data availability as intervention streets. The outcome was the difference in daily cycle counts between intervention and control streets. We conducted a virtual street audit with Google Street View to assess 14 street features and derived a function score based on 7 components. We used induced smoothed LASSO regression to identify relevant form or function variables associated with cycle count changes. ResultsThe effects of new cycling infrastructure varied, with significant increases at half (7/15) of the sites and no change at the rest. For every 1 SD increase in cycle lane length, an increase of 83 cycle counts per day (95% CI 32, 134) was observed. Removing car parking and traffic lanes were associated with an increase of 197 counts (108, 285) and 154 counts (58, 249), respectively. Adding a public transport stop showed a negative association with a change of −83 counts (−158, −8). Functions positively associated with cycle count changes were improving safety (75, 95% CI 8, 141) and space (72, 95% CI 10, 135). ConclusionsThis study sheds light on cycling infrastructure design influences on cycling behavior. These insights can help guide future policies and infrastructure development to maximize cycling benefits for health and the environment.

The utility of a baseline morning cortisol measurement, in the screening for adrenal insufficiency amongst non-critically ill hospital inpatients

BackgroundSerum cortisol levels vary according to the daily circadian cycle, with peak levels seen in the morning. There is evidence in ambulatory patients that a morning cortisol level can predict an adequate cortisol response to Synacthen (tetracosactide) stimulation. AimThe aim of this study is to determine the utility of baseline analysis of the serum cortisol levels in the morning “baseline morning cortisol”, determined using a newer immunoassay, in the screening for adrenal insufficiency amongst non-critically ill hospital inpatients. MethodsThis is a retrospective cross-sectional cohort study. Results64 adult inpatients had undergone a short Synacthen test (SST) (measurement of serum cortisol levels 30 and 60 min after administration of tetracosactide) during the study period. 17 patients returned an abnormal SST result. The measured level of cortisol in the morning correlated to both the 30 min and 60 min stimulated cortisol values (r = 0.612, p < 0.001 and r = 0.639, p < 0.001). After inspecting the receiver operating characteristic curve, a cortisol concentration of 200nmmol/L measured in the morning was selected as a threshold for predicting the SST result. Using this cut off, sensitivity for predicting a normal SST was 100 %, specificity 56 %, positive predictive value 45 % and negative predictive value 100 %. ConclusionA morning cortisol measurement, determined using a newer immunoassay, is sufficient in most cases to screen for adrenal insufficiency amongst non-critically ill hospital inpatients. Use of clinical judgement in conjunction with single morning cortisol measurement is likely to reduce the need for SST testing amongst inpatients.

Daily variability of pH and temperature in seawater from a near-pristine oceanic atoll, Southwest Atlantic

The study of pH and temperature variability in reef environments, and the underlying processes that control this variability, is of great importance for ocean acidification research. Therefore, in the reef environment of Rocas Atoll, we conducted continuous monitoring of pH and temperature and periodic sampling of carbonate chemistry, and we hypothesize that seawater temperature is not the determining factor in the daily variability of pH at this atoll. Our results showed that the seawater of the atoll presented a high daily variability in pH, [H+], and temperature. The cycles of variations occurred primarily with a periodicity of ∼24 h, related to the daily light cycle, and secondarily with a periodicity of ∼12 h, associated with the semi-diurnal tidal cycles of the atoll. The results indicate that the relative balance of net organic carbon metabolism is the main process modulating carbonate chemistry on the atoll throughout the day.

Binocular field configuration in owls: the role of foraging ecology.

The binocular field of vision differs widely in birds depending on ecological traits such as foraging. Owls (Strigiformes) have been considered to have a unique binocular field, but whether it is related to foraging has remained unknown. While taking into account allometry and phylogeny, we hypothesized that both daily activity cycle and diet determine the size and shape of the binocular field in owls. Here, we compared the binocular field configuration of 23 species of owls. While we found no effect of allometry and phylogeny, ecological traits strongly influence the binocular field shape and size. Binocular field shape of owls significantly differed from that of diurnal raptors. Among owls, binocular field shape was relatively conserved, but binocular field size differed among species depending on ecological traits, with larger binocular fields in species living in dense habitat and foraging on invertebrates. Our results suggest that (i) binocular field shape is associated with the time of foraging in the daily cycle (owls versus diurnal raptors) and (ii) that binocular field size differs between closely related owl species even though the general shape is conserved, possibly because the field of view is partially restricted by feathers, in a trade-off with auditory localization.

Predictive models for grape downy mildew (Plasmopara viticola) as a decision support system in Mediterranean conditions

Plasmopara viticola (Peronosporales: Peronosporaceae) is a highly destructive disease that can cause very serious damage under favorable conditions. Cultural practices, disease-tolerant varieties, and phytosanitary treatments have been effective tools to control this disease. However, predictive models such as decision support systems (DSS) could help reduce the need for phytosanitary treatments. In this study, we aimed to develop, adjust, and validate a customized predictive model at the plot level, comparing it with the other three existing models (Milvit, VitiMeteo-Plasmopara, and Goidanich) in Mediterranean conditions. Downy mildew symptoms were observed in the field and predicted using the four mentioned models in eight plots during the 2018 and 2019 campaigns. All tested models predicted possible daily infection cycles, which were grouped into infection blocks every 5–7 days to validate predicted data with in-field observations. In Mediterranean conditions, Milvit and VitiMeteo-Plasmopara models provided both over-prediction and under-prediction infection blocks compared to field observations. However, the Goidanich model only provided over-prediction infection blocks with very few matches to field observations. The UR-model was successfully improved to adjust it to Mediterranean conditions, and it matched observed and predicted infection blocks in 56,25% of the plots and years. However, the UR-model was more accurate (75% matching) in humid years like 2018 than in dryer years like 2019 (37,5% matching), although in both cases it was the most accurate model to be used as a decision support system.

The influence of light on elasmobranch behavior and physiology: a review

In this review, we summarize the state of knowledge of the influence of light on the activity and physiology of elasmobranchs (sharks, skates, rays, and sawfish). These are a diverse group with great economic and ecological importance. The long-term success of a species is largely determined by its ability to respond to changes in its environment. Light plays an important role for many marine species in signaling rhythmic environmental changes which are part of daily and annual cycles. Behavioral and physiological changes by organisms in response to these signals have evolved enabling them to maximize survival and reproductive success. In an environment with increased levels of artificial light at night (ALAN), deleterious changes in activity and physiology can occur. By summarizing what is known about the influence of light on elasmobranch activity, it can be concluded that ALAN is likely to have a negative impact on elasmobranchs at the individual and population level. We also discuss the example of intentional nocturnal light pooling by the tourism industry to attract whale sharks (Rhincodon typus) and manta rays (Mobula spp.) and recommend regulation of this activity.

Daily thermal variability does not modify long-term gene expression relative to stable thermal environments: A case study of a tropical fish

Global warming is leading to an increase in the frequency and intensity of extreme weather events, magnifying the breadth of temperatures faced by ectotherms across days and seasons. Despite the importance and ecological relevance of diurnal thermal variability, the vast majority of knowledge on gene expression patterns and physiology stems from animals acclimated to constant temperatures or in the early stages of exposure to a new temperature regime. If heterothermal environments modulate responses differently from constant thermal environments, our existing capacity to forecast impacts of climate warming may be compromised. To address this knowledge gap, we acclimated barramundi (Lates calcarifer) to 23 °C, 29 °C (optimal), 35 °C and to thermal cycling conditions (23–35 °C daily with a mean of 29 °C) and sampled liver and white muscle tissue before acclimation and after 2 and 17 weeks of acclimation. NanoString nCounter technologies were used to measure expression of 20 genes related to metabolism, growth and maintenance of cellular homeostasis. Acclimation to cool and warm conditions caused predictable changes in whole-animal performance (metabolism and growth) and the underlying gene expression patterns. Acclimation to a cycling temperature regime did not change the molecular regulation of metabolism or growth compared with barramundi acclimated to constant 29 °C, nor did it cause any discernible effects on whole-animal performance. However, the heat shock response was higher in the former group, suggesting that barramundi under a daily temperature cycle have an increased need for cellular chaperoning to minimise detrimental effects of temperature on proteins. We conclude that the genetic regulation of metabolism and growth may be more dependent on the mean daily temperature than on the daily temperature range.

Effects of exercise timing and intensity on physiological circadian rhythm and sleep quality: a systematic review.

Humans show near-24-h physiological and behavioral rhythms, which encompass the daily cycle of sleep and wakefulness. Exercise stimulates circadian rhythms, including those of cortisol, melatonin, and core body temperature, and affects sleep quality. We systematically reviewed studies that examined the effects of exercise intensity and timing on physiological circadian rhythms and sleep quality. In this systematic review, we used the online databases PubMed, Science Direct, Web of Science, and Embase. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two independent and experienced systematic reviewers performed the search and selected relevant studies. The participant, intervention, comparison, and outcome characteristics were: (1) adults; (2) exercise treatment; (3) no exercise treatment or different types of exercise (pre-exercise baseline); (4) cortisol, melatonin, or core body temperature measurement, and subjective or objective sleep quality assessments. We identified 9 relevant articles involving 201 participants (77.1% of whom were male). Our review revealed that short-term evening exercise delayed melatonin rhythm and increased nocturnal core body temperature; however, no negative effects on non-rapid eye movement sleep and sleep efficiency were observed. Moreover, no differences in sleep quality were observed between acute high-intensity and moderate-intensity exercises. With long exercise durations, the core body temperature tended to increase and return to baseline levels at 30-120 min. Our review showed that short-term evening exercise and high-intensity exercise did not have a significant negative effect on sleep quality but physiological circadian rhythm tended to alter. Longterm morning exercise tended to decrease cortisol concentrations after awakening and improve sleep quality. Future studies should examine the effects of long-term exercise timing and intensity on circadian rhythm and sleep.

Review article circadian disruption in pathophysiology of diabetes mellitus

Diabetes mellitus is a leading endocrine disease with a steadily increasing incidence, and its complications impose a heavy burden on the healthcare. Although pathophysiology of diabetes mellitus has been extensively investigated through the recent decades, the role of circadian rhythms in this regard was vaguely described. Circadian rhythms comprise an autonomous system of neuroendocrine signals and transcription factors that enfold key physiological processes into a daily cycle. Circadian clocks are subdivided into central (located in the suprachiasmatic nuclei of the hypothalamus) and peripheral oscillators (located in organs and cells) which produce circadian variations in the activity of virtually all cells within the human body, including the β cells of the pancreas. Circadian rhythm disruption causes circadian desynchronization which is associated with impaired glucose metabolism and insulin secretion, thereby being considered as one of the triggers of diabetes mellitus. Production of melatonin, a master regulator of circadian rhythms and a potent antioxidant, is significantly reduced in patients with diabetes mellitus. Circadian desynchronization may be triggered by a jetlag or an eating disorder. At present, circadian disruption is viewed as an important cause for the development of diabetes mellitus, although the mechanisms of such link have not been fully elucidated hitherto and might include genetic predisposition and increased oxidative stress. Timely diagnosis and appropriate treatment of circadian disruption in patients with diabetes mellitus may ameliorate the severity or prevent diabetes complications.

Increasing Rates of Human Papillomavirus Catch-Up Vaccination at a Sexual and Reproductive Health Clinic: A Quality Improvement Project.

Catch-up human papillomavirus (HPV) vaccination of adults aged 19 to 26 who were not vaccinated as children or adolescents may decrease rates of HPV-associated cancer. The purpose of this project was to increase uptake of catch-up HPV vaccination at a sexual and reproductive health clinic through the implementation of a multicomponent, systems-based intervention. Catch-up vaccination rates were recorded at an intervention health clinic and a comparison health clinic. A comparative, interrupted time series design was used to compare rates of catch-up vaccination pre- and postintervention. Electronic health record prompts, in-clinic education, and scheduling of a next visit at the current visit were implemented. Data were analyzed using descriptive statistics, t tests, and regression analysis. The proportion of all patients aged 19 to 26 who received an HPV vaccination rose at the intervention health clinic from 0.76% preintervention to 4.42% postintervention. At the intervention clinic there was a nonsignificant increase (4.47 minutes) in average daily patient cycle times between the pre- and postintervention periods (t(13) = 1.895, P = .075). Rates of catch-up HPV vaccination increased significantly following the multicomponent, systems-based intervention. Further iteration of the quality improvement process should examine the sustainability of the interventions and the effects of the intervention on vaccine series completion.

Urban atmospheric humidity excesses and deficits in two Mexican metropolises: Guadalajara and Puebla

Comparative studies of atmospheric humidity between urban and suburban and urban-rural environments are scarce, and their results are very scattered and inconclusive. In this paper, we compare differences in atmospheric temperature, relative humidity and absolute humidity measured at the limits between the urban canopy and the boundary layer in two elevated metropolises in Mexico: Guadalajara and Puebla. Results show that variations in relative humidity contrasts between different environments have an inverse relationship with the temperature variations. In Guadalajara, the urban excesses of absolute humidity are predominant from May to September. In Puebla the urban-suburban contrasts are lower than in Guadalajara, following a daily cycle and being negative between noon and 18:00 LT. From March to September urban-rural differences in Puebla are positive between 10:00 and 18:00 LT, and weak during the nocturnal period.