Morning Periods Research Articles

The impact of traffic mobility measures on vehicle emissions for heterogeneous traffic in Lagos City

Emissions from vehicular traffic are one of the key drivers of urban environmental air pollution, degrading the ambient air quality in many African cities and across the globe. This study sought to assess the impact of traffic mobility measures on the emission levels of air pollutants from vehicle exhaust in Lagos, Nigeria. Traffic flow and vehicle mix were collected daily during morning, afternoon, and evening peak periods along selected arterial and two-lane collector roadways. Simultaneously, five (5) air pollutants from vehicular traffic emissions were observed at distinct monitoring stations along the roadways using portable gas detectors. The traffic flow and mobility measures were inputted into a multiple exponential model to estimate the concentration of each pollutant. The result of the vehicle fleet composition revealed 3.5%, 4.5%, 57%, 32%, 1.5%, and 2% for motorcycles, tricycles, personal cars, minibuses, large buses, and heavy goods vehicles, respectively, on the two-lane road and 10%, 35%, 27%, 10%, and 18% for motorcycles, personal cars, minibuses, large buses, and heavy goods vehicles, respectively, on the arterial. The results of a multiple exponential regression model (MER) showed significant contributions from traffic flow, speed, vehicle fleet proportion, and pollutant concentration (p <0.05). However, the impact on ambient air quality revealed severe pollution levels for CO and PM2.5, while SO2, NO2, and PM10 showed moderate, poor, and poor pollution levels. This study has provided evidence on how pollutant emissions increase rapidly during peak traffic conditions in heterogeneous traffic on different classes of roads and recommended policies for managing vehicle fleets and traffic congestion with the aim of reducing the impact on the ambient air quality and health of the public on heavily trafficked roadways in sub-Saharan African cities.

Spatial modeling via geostatistics of the bed in a compost barn system: thermal performance assessments.

For all the benefits of a compost barn system to be achieved, the management, especially with the bedding, must be done correctly. One should consider the requirements regarding the revolving of the material, use of good quality organic matter, suitable ventilation, and an ideal animal stocking rate, so that the composting occurs efficiently. Given this, this work aimed to evaluate the spatial variability of thermal characteristics of rice straw bedding, using values of temperature (surface and internal) and humidity. The temperature and moisture values of the litter were recorded at intervals during the morning shift, from 6:00 am to 7:00 am and from 8:00 am to 9:00 am, and during the afternoon shift, from 3:00 pm to 4:00 pm and from 5:00 pm to 6:00 pm, considering the management of the turn-over, that is, before and after the movement of the litter. Litter variables were collected at points distributed on a 39-point grid. There were no differences between litter surface temperatures before and after turning over in the morning shift, but in the afternoon shift, the surface temperature was lower (P < 0.05) before, when compared to after turning. The internal temperature and litter moisture were higher (P < 0.05) before revolving in both shifts. Spatial dependence was verified (IDE) for the variables studied. Based on the geostatistical analysis, it is concluded that the IDE was rated as strong for surface and internal temperatures, which demonstrates heterogeneity among the points evaluated and a large spatial variability regarding bed temperatures. In the case of litter moisture, the greatest variability occurred in the morning period. The litter surface temperature values did not exceed the ambient air temperature values.

Does the timing of intake matter? Association between caffeine intake and depression: Evidence from the National Health and Nutrition Examination Survey

BackgroundRecent research suggests that caffeine intake is associated with a reduced risk of depression. However, the relationship between caffeine intake during different periods of the day and depression is still unclear. MethodsThis cross-sectional study analyzed noninstitutionalized adults from the National Health and Nutrition Examination Survey, with a weighted representation of approximately 218 million US adults. Covariate-adjusted sample-weighted regressions were used to examine associations between caffeine intake and depression in different periods. ResultsCaffeine intake during non-early morning periods (outside of 5:00–8:00 AM) is associated with a high prevalence of depression (unadjusted OR: 1.08, 95%CI: 1.05–1.11; adjusted OR: 1.03, 95 % CI: 1.00–1.06). Participants who consumed caffeine in the early morning (5:00–8:00 AM) had a lower prevalence of depression compared to participants who did not consume caffeine in the early morning (unadjusted OR: 0.75, 95%CI: 0.67–0.85; adjusted OR: 0.86, 95 % CI: 0.75–0.99). LimitationsCross-sectional study could not determine the temporal association; patients with depression in this study were not clinically diagnosed with Major Depressive Disorder. ConclusionsAmong US adults, early morning caffeine consumers had a lower prevalence of depression than non-consumers; caffeine intake during non-early morning periods is associated with a high prevalence of depression. Our results may suggest the importance of caffeine intake time for depression.

Investigating surrogate safety measures at midblock pedestrian crossings using multivariate models with roadside camera data

This study aims to evaluate and compare Surrogate Safety Measures (SSMs) at five midblock Rectangular Rapid Flashing Beacons (RRFB) and two midblock Pedestrian Hybrid Beacons (PHB) sites in Florida using extensive video data collected over the study period of July to November 2021. Computer vision and data processing resulted in four pedestrian SSMs, namely spatial gap, temporal gap, relative time to collision (RTTC) and Post Encroachment Time (PET). An initial investigation of the SSMs using Mann-Whitney-Wilcoxon tests revealed significant differences in the SSM values across different treatment types and hours of the day. Additionally, univariate regression of spatial gap, and multivariate regression of temporal gap, RTTC and PET revealed significant differences of SSMs across RRFB and PHB sites. The study considered both linear and non-linear (gamma, inverse Gaussian and lognormal) regression models. After considering various traffic and operational parameters, the data were aggregated for each pedestrian-vehicle interaction on each lane to create a total of 395 observations. The SSMs included average spatial gap, temporal gap, RTTC and PET for each interaction of pedestrian and vehicle on each lane. The results indicated that non-linear models performed better than the linear models. Moreover, the presence of the PHB, weekday, signal activation, lane count, pedestrian speed, vehicle speed, land use mix, morning period and pedestrian starting position from the sidewalk have been found to be significant determinants of the SSMs. Results also suggest temporal SSMs increase at the PHB sites compared to the RRFB sites, indicating an improvement of traffic safety at PHB sites. However, the spatial gap decreased for PHB sites compared to the RRFB sites, which suggests that pedestrians tend to start to cross the RRFB sites when they perceive vehicles to be further away than at the PHB sites.

Longitudinal association between saliva and hair cortisol concentration: A systematic comparison

Cortisol assays from hair have become increasingly common in psychoneuroendocrinological research as indicators of long-term output relevant to stress and health outcomes. Comparisons of hair cortisol concentration (HCC) with salivary samples have produced mixed findings, and it remains unclear which aspects of the diurnal salivary profile correspond most closely to HCC, and what time intervals between saliva and hair sampling are most relevant, taking the rate of hair growth into account. This longitudinal study aimed to evaluate the correspondence between HCC and parameters of total salivary cortisol output in the morning (CARauc and CARi) and during the rest of the day excluding the early morning period (DAYauc), by systematically studying three time periods – two weeks, four weeks, and six weeks – before hair sampling. At each time period, 54 female university students (mean age: 20.85 ± 1.16 years) provided three saliva cortisol samples on day 1 at 11 am, 3 pm, at bedtime, then two samples the following day on waking and 30 min after awakening. Hair strand collection (1 cm nearest the scalp) took place two weeks after the last saliva sample. Results of multivariable regressions indicate that HCC was consistently associated with DAYauc for all three time periods and with the aggregate DAYauc across days after adjusting for age, body mass index, smoking, oral contraceptive use, hair washing frequency and hair treatments. The strongest associations were found for DAYauc two weeks before hair sampling (β = 0.578, p < 0.001) and the aggregated DAYauc across all three time periods (β = 0.596, p < 0.001), although the confidence intervals overlapped those for four and six week analyses. There was no significant association between HCC and either CARauc or CARi. Our study confirms that hair cortisol could be a reliable retrospective biomarker of basal and long-term cortisol output secretion at least up to six weeks earlier. The results contribute to a better understanding of the different associations between HCC and salivary cortisol in the morning and the rest of the day, while also having implications for the use of HCC as an outcome measure in intervention and treatment research.

Hybrid Energy Storage System Taking Advantage of Electric Vehicle Batteries for Recovering Regenerative Braking Energy in Railway Station

Nowadays, nations are moving toward the electrification of the transportation section, and the widespread development of EV charging stations and their infrastructures supplied by the grid would strain the power grid and lead to overload issues in the network. To address this challenge, this paper presents a method for utilizing the braking energy of trains in railway stations to charge EVs located in strategic areas like park-and-ride regions close to railway stations improving energy efficiency and preventing grid overload. To validate the feasibility of the proposed system, a metro substation in Milan city is considered as a case study located in outskirts of the city and contains large number of parking space for vehicles. Three different scenarios are evaluated including DC fast charging station, AC low charging station and collaborative hybrid energy storage based AC charging station as EV charging station type. The results are studied for different EV population number, charging rate and the contractual power grid. Meanwhile, the possibility of proposed system in participating as V2G technology and taking advantage of the EV’s batteries to provide ancillary support to accelerating trains is investigated regarding peak shaving objective. The results indicated that the suggested interconnected system operates effectively when a significant quantity of EVs are parked at the station. However, the results revealed that the performance of the proposed system is notably influenced by other factors and a limited number of EVs during the early morning and late evening periods. Overall, this study confirms the feasibility of energy transfer between two types of transportation means in intermodal areas.

Feeding phytogenic ingredients combined or not with Lithothamnium calcareum and a mycotoxin binder to lactating cows: Effects on performance, nutrient digestibility, physiological parameters, and nitrogen excretion

A study was conducted to evaluate the effects of phytogenic feed additives combined or not with buffer compounds and a mycotoxin binder on performance, nutrient digestibility, N utilization, and purine derivatives excretion in lactating cows. Thirty-six Holstein (162 ± 76 days in milk and 32.6 ± 5.57 kg/d milk yield) cows were blocked (n = 12) according to parity, days in milk, and milk yield and were randomly assigned to the following treatments: control (CON), no feed additive; phytogenic feed additive at 5 g/d (PA); and PA + 140 g of buffer compounds (Lithothamnium calcareum, NaHCO3, and MgO) + 25 g/d of a mycotoxin binder (PABB). The PFA mixture contained pepper oleoresin and extracts of cinnamon, pepper, onion, grape seed, Curcuma sp., and Quillaja sp. Treatments were provided mixed into minerals. Cows were allowed a 2 wk-covariate period, and treatments were applied for the following 9 wks. Tukey’s test was used to determine differences between treatment groups. Dry matter (DM) intake was greater (P < 0.001) when feeding phytogenic additives, either PA or PABB, in comparison with CON. Similar nutrient intake was observed between PA and PABB groups. Digestibility of DM was greater (P = 0.047) in cows fed PA than CON but did not differ from those fed PABB. Milk yield was greater (P = 0.041) in cows fed PA than CON group, whereas PA and PABB had similar production values (32.1, 33.6, and 32.8 kg/d for CON, PA, and PABB, respectively). Fat production was increased (P = 0.002) when feeding feed additives. Milk protein concentration was greater (P = 0.043) in PABB-cows than both PA and CON groups. There was no evidence for treatment effects on milk urea nitrogen concentration, feed efficiency, or serum concentrations of glucose and urea-N. The heart rate was lower (P = 0.026) in CON group than PA or PABB during the morning period evaluation. Skin temperature of the face region was elevated (P = 0.040) in cows fed PABB than CON during the morning period. Milk N secretion tended to be greater (P = 0.096) in cows fed treatments with phytogenic additives (PA and PABB) than CON. Relative N excretion (g/kg of N intake) in urine, feces, and milk were not affected by treatments. Urinary purine derivatives daily excretion was similar among treatments. Phytogenic feed additives improve performance of cows, whereas providing a blend of buffer components and mycotoxin binder may increase milk protein concentration.

Thermal influence of living wall in the winter of subtropical climate in Brazil

The continuous living wall is a type of vertical garden built with different layers, which allows the cultivation of a wide variety of species and protects the façade from direct sunlight. From this, this experimental study aimed to identify and quantify the influence of a continuous living wall on the variations of the internal and external surface temperatures (Ist and Est) of an East façade, in the winter period, in the Cfa climate. The garden had the differential of being built with Tetrapak® recycled boards to differentiate it from the other technologies already studied and to test a material used in environmental compensation projects. The surface temperatures of the living wall, the protected and the control plot were monitored and compared to analyze the intensity of the shading mechanism. The results demonstrate that, in the early morning, the living wall prevented heat loss from the façade and, from direct sunlight, kept the protected plot's surface temperatures lower than the control plot. This difference reached up to 9.4 °C at Est (morning period) and 2.8 °C at Ist (afternoon period), as well as a maximum thermal delay of 06h30min between Est peaks. These findings show the positive influence of the living wall in winter, considering the characteristics of the Cfa climate (cold in the morning and hot during the day), expand knowledge about the thermal influence of the continuous living wall in the building and reinforce the use of living walls beyond aesthetics.

Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast

Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast

Spatio-temporal distribution and overlap of Naemorhedus griseus and Capricornis milneedwardsii in Gongga Mountain, Sichuan, China.

Clarifying the distribution pattern and overlapping relationship of sympatric relative species in the spatio-temporal niche is important for our understanding of the behavioral relationship between species and the integrated management of multi-species habitats. Based on the infrared camera monitoring data from 2012 to 2021, we investigted the spatio-temporal distribution characteristics of the national secondary-class key protected animals Naemorhedus griseus and Capricornis milneedwardsii in the Gongga Mountain National Nature Reserve, Sichuan Province. We analyzed the distribution of N. griseuss and C. milneedwardsiis in the reserve using the MaxEnt model, based on 72 and 108 occurrence data of the two species, respectively, obtained by infrared cameras from 2016 to 2021, combined with 12 environmental factors potentially affecting their spatial distribution. Then, based on 1312 occurrence data of N. griseus and 1889 occurrence data of C. milneedwardsii collected by infrared camera from 2012 to 2021, we estimated their daily activity rhythms by using the kernel density estimation to understand the distribution pattern and overlap of the two species in the temporal niche. The results showed that the area of suitable habitats for N. griseus and C. milneedwardsii was 731.95 km2 and 1220.46 km2, respectively. The overlapping area was 697.17 km2. The main environmental factors had similar effects on the habitat selection of the two species. The daily activity of both species peaked in the early morning and evening. The utilization of the interval and intensity of the morning and evening time periods were different for the two species. The morning and evening activity peaks of C. milneedwardsii were earlier and later, respectively, than that of N. griseus. C. milneedwardsii had a higher utilization intensity during the nocturnal period. In general, high degree of spatial overlap and low degree of overlap in the temporal niche dimension contribute to the long-term coexistence of the two species.

Revealing the Influence of the Fine-Scale Built Environment on Urban Rail Ridership with a Semiparametric GWPR Model

There is a causal interaction between urban rail passenger flow and the station-built environment. Analyzing the implicit relationship can help clarify rail transit operations or improve the land use planning of the station. However, to characterize the built environment around the station area, existing literature generally adopts classification factors in broad categories with strong subjectivity, and the research results are often shown to have case-specific applicability. Taking 154 stations on 8 rail transit lines in Xi’an, China, as an example, this paper uses the data sources of multiple open platforms, such as web map spatial data, mobile phone data, and price data on house purchasing and renting, then combines urban land classification in the China Urban Land Classification and Planning and Construction La1d Standard to classify the land use in the station area using structural hierarchy. On the basis of extracting fine-grained factors of the built environment, a semi-parametric Geographically Weighted Poisson Regression (sGWPR) model is used to analyze the correlation and influence between the variation of passenger flow and environmental factors. The results show that the area of Class II residential land (called R2) is the basis for generating passenger flow demand during morning and evening peak periods; The connection intensity between rail transit station area and bus services has a significant impact on commuters’ utilization level of urban rail transit. Furthermore, two scenarios in practical applications will be provided as guidance according to the research results. This study provides a general analytical framework using urban multi-source data to study the internal relationship and impact between the built environment of urban rail transit stations and passenger flow demand.

Estimating real-time crash risk at signalized intersections: A Bayesian Generalized Extreme Value approach

The current reactive road safety assessment cannot assess real-time crash risk at signalized intersections, and as such, the real-time risk mitigation strategies could not be developed. This shortcoming is mainly attributed to a lack of a proper methodological framework that could reveal insights into the real-time crash risk using the crash signatures or precursor of crashes, otherwise known as traffic conflicts, near misses, or surrogate safety measures. This study proposes a traffic conflict-based crash estimation technique to estimate real-time crash risk at signalized intersections. In particular, a Bayesian modeling framework is employed to estimate crash risk in real-time from traffic conflicts identified by modified time-to-collision (MTTC). A Block Maxima approach corresponding to generalized extreme value distribution is used to identify traffic extremes at a micro (i.e., traffic signal cycle) level. Then, the traffic flow at the signal cycle level is included as a covariate in the model to explain time-varying crash risk across different cycles. The unobserved heterogeneity associated with the crash risk of different cycles is also addressed within the Bayesian framework. The proposed framework is tested using a total of 96 h of traffic movement video data from a signalized intersection in Queensland, Australia. A comparison between the estimated crashes and the historical crash records demonstrates the suitability of the developed model for crash risk estimations. The crash risk of each signal cycle is identified by generating a different generalized extreme value distribution for each traffic signal cycle. Further statistical analyses reveal that crash risk varies within the different periods of a typical day, with higher crash risks found during the morning and evening peak periods. This study concludes the efficacy of the proposed real-time framework in estimating the rear-end crash risk at the micro-level, allowing proactive safety management and the development of risk mitigation strategies.

A design vision on mannequin of clothes inspired by celestial bodies to face the problem of a woman's thin chest

to draw inspirationdesigns from celestial bodies and then employ their aesthetic values in designs that address the problem of "thinness of the chest" using the Design style on the mannequin for evening wear. The importance of the research lies in trying to identify broader horizons for the greatness of the Creator Almighty through part of the world of astronomy, which is the celestial bodies, trying to provide a new design vision for women's fashion producers inspired by celestial bodies, The research followed the descriptive approach with analysis and application, The research included two samples, the first fashion specialists number (39) single to evaluate the designs, other sample is the consumables of women with thin breasts their number (51) to know their opinions towards the designs of the research and the extent to which they address the problem of "thinness of the chest", The research required the construction of two questionnaires, the first directed to specialists, and the second for women with thin chests, The results of the research included two parts, the first is an analysis of the research designs, which number seven designs according to the criteria (Citation source - Design description - Design link to Citation source - Design material and color - Design lines and shape - Design treatment of chest thinness),Thesecond part dealt statistical results and the verification of hypotheses, the results showed the positive opinions of specialists and consumers towards the implemented designs in general and their success in addressing the problem of thinness of the chest, The results of measuring the opinions of specialists also showed the success of designs in achieving the axes (Linking to the Citation source - Treating the thinness of the chest - The aesthetic aspect) according to the disciplines of (fashion draping - fashion design - clothing and textile). The most important recommendations of the study are: attention to meeting the clothing needs of those who suffer from physical problems of women and men of different ages, going to new sources of inspiration from nature full of aesthetics and employing them to suit different physical problems, as well as benefiting from the aesthetics of celestial bodies in designs for different ages of both sexes to suit the morning period and different occasions

Effectiveness of Amlodipine in the Control of 24-Hour Blood Pressure in Mild-to-Moderate Essential Hypertension: A Prospective, Multicenter, Observational Real-World Study from India.

Background Calcium-channel blockers (CCB) are a mainstay in the management of hypertension (HTN), and amlodipine is the preferred CCB due to its longer half-life and better safety. Patients and methods This practice-based, observational, real-world evidence study assessed the 24-hour ambulatory blood pressure (ABP) control in mild-to-moderate essential hypertensive patients (treatment naïve receiving amlodipine monotherapy, or as add-on therapy) in inadequately controlled blood pressure (BP goal not met after one month of existing therapy). One hundred four (62M/42F) patients between 18 and 65 years of age who received amlodipine 5/10 mg/day for >8 weeks were included after obtaining informed written consent. The primary outcome was a change from baseline in the mean 24-hSBP and DBP on ABP monitoring at eight (±1) weeks. Secondary outcomes were different from baseline in the mean morning, day-time, night-time, and last six-hour dosing interval period. Other outcomes assessed BP variability (dippers and non-dippers), and responder rates based on ABP monitoring and in-clinic trough cuff measurements. Safety outcomes included adverse effects reported, electrocardiogram, and laboratory abnormalities (hepatic and renal function). Changes in BP parameters in different sub-groups (age, gender, BMI, physical activity, occupation, duration of hypertension, the total daily dose of amlodipine, type of amlodipine therapy, and hypertension severity at baseline) were estimated. Results Of the 104 patients, 49 patients (completed eightweeks) were included in the per-protocol (PP) data for efficacy analysis. Safety analysis was done on the intent-to-treat (ITT) dataset. Significant reductions (p<0.0001) from baseline in all BP measurements on ABPM were observed at the end of eight weeks. Similar improvements were observed in office BP recordings. There was a marginal but non-significant (p>0.05) increase in the proportion of dippers and extreme dippers with amlodipine at the end of the eight-week treatment period. Conclusions Amlodipine 5/10 mg/day therapy used as monotherapy or adjuvant therapy provided significant reductions in both office BP and ambulatory BP over eight weeks.

The Partial Pressure of CO2 and Fluxes of CO2 in Semarang Bay, Indonesia

The CO2 characteristics of the Semarang Bay system on the Northern coast of Java were investigated to understand the roles in carbon dioxide flux. The flux of carbon dioxide at the sea surface between seawater and atmosphere is essential for mitigating atmospheric CO2. The aims of this study were to assess the variation of CO2 partial pressure seawater (pCO2sea) and CO2 flux and to analyse the water quality variable which has the larger influence on CO2 flux in the waters of Semarang Bay. The variables in this study were temperature, pH, salinity, and DO. Different methods were adopted in the analysis of water samples: spectrophotometric to measure chlorophyll-a and phosphate and titration method to measure Total Alkalinity (TA) and Dissolved Inorganic Carbon (DIC). A CO2 meter was used to measure the CO2atm. The lowest CO2 flux value was (1.86 mmol CO2 m-2 day-1) during the morning period while the pCO2sea reached 461.04 μatm and CO2 flux 83.79 mmol CO2 m-2 day-1 at night. At noon time, with increased temperature, pCO2sea was 461.04 μatm, and CO2 flux was 83.79 mmol CO2 m-2 day-1. The high concentration of chlorophyll-a ranged between 3.55–4.11 mg.L-1. This chlorophyll-a concentration has a negative correlation with CO2 flux, and it was found that TA and DIC concentrations have no relationship with CO2 flux. Based on PCA analysis, it was found that the variability of CO2 flux in Semarang Bay is influenced by the variability of pCO2sea, sea surface temperature and kwa (affected by wind speed).

The impact of road traffic context on secondary task engagement while driving.

Driver distraction has been recognized for a long time as a significant road safety issue. It has been consistently reported that drivers spend considerable time engaged in activities that are secondary to the driving task. The temporary diversion of attention from safety-critical driving tasks has often been associated with various adverse driving outcomes, from minor driving errors to serious motor vehicle crashes. This study explores the role of the driving context on a driver's decision to engage in secondary activities non-critical to the driving task. The study utilises the Naturalistic Engagement in Secondary Tasks (NEST) dataset, a complementary dataset derived from the SHRP2 naturalistic dataset, the most extensive naturalistic study to date. An initial exploratory analysis is conducted to identify patterns of secondary task engagements in relation to context variables. Maximum likelihood Chi-square tests were applied to test for differences in engagement between types of driver distraction for the selected contextual variables. Pearson residual graphs were employed as a supplementary method to visually depict the residuals that constitute the chi-square statistic.Lastly, a two-step cluster analysis was conducted to identify common execution scenarios among secondary tasks. The exploratory analysis revealed interesting behavioral trends among drivers, with higher engagement rates in left curves compared to right curves, while driving uphill compared to driving downhill, in low-density traffic scenarios compared to high-density traffic scenarios, and during afternoon periods compared to morning periods. Significant differences in engagement were found among secondary tasks in relation to locality, speed, and roadway design. The clustering analysis showed no significant associations between driving scenarios of similar characteristics and the type of secondary activity executed. Overall, the findings confirm that the road traffic environment can influence how car drivers engage in distracted driving behavior.

DYNAMICS OF INTESTINAL CONTENT FLUCTUATIONS ANASTOMOSED SMALL INTESTINE LOOPS AS MARKER IN DIAGNOSIS OF DUMPING SYNDROME OF DIFFERENT SEVERITY IN GASTRIC CANCER PATIENTS AFTER GASTRECTOMY

The aim: to study the effectiveness of the method of daily fibroesophagoejunoscopy in determining the number of pellets of intestinal contents in the newly created anatomical-physiological complex and related functional disorders, accompanied by the manifestation of clinical symptoms of dumping syndrome of varying severity. Materials and methods. The method of fibrogastroscopic examination was by 190 patients with gastric tract after gastrectomy carried out. All patients were diagnosed with dumping syndrome of varying severity. The study showed that the severity of clinical manifestations of dumping syndrome depends on the number of intestinal contents in the newly created anatomical-physiological complex depending on the time of day. For proof of body, observing the stage, 30 patients underwent a modified esophagogastroscopic examination method, which was proposed by us – daily fibroeophagoeunoscopy, as well as histological and histochemical studies to detect inflammatory changes in anastomosed loops of the small intestine. To determine the dependence of clinical manifestations of dumping syndrome on the number of intestinal pellets, all patients underwent intracavitary intestinal laser therapy with helium-neon laser ULF-01. Results. When analyzing and comparing the data obtained during daily fibroesoeunoscopy with the clinical manifestations of dumping syndrome of varying severity, it was found, that at different periods of the day the intensity of intestinal casting in anastomosed loops of the small intestine and clinical manifestations of the disease differ significantly. It was established, that in the morning hours, at all degrees of severity of dumping syndrome, there was a minimum number of pellets of intestinal contents in the newly created anatomical complex and, accordingly, there were minimal clinical manifestations of the disease. The study also showed that the increase in clinical symptoms in patients with dumping syndrome is clearly precisely in the daytime manifested. Conclusions. The findings suggest that daily fibroesophagoeunoscopy is a pathognomonic method for diagnosing dumping syndrome in gastric cancer patients after gastrectomy. The method made it possible to establish that the severity of clinical manifestations depends on the number of casts of intestinal content and the time of its exposure in the newly created anatomical complex. The clinical symptoms of dumping syndrome are most in the daytime pronounced. The method also made it possible to determine that the most effective time for laser therapy is the morning period.

Effect of solar radiation on Holstein heifers’ physiological variables and grazing behavior

The objective was to assess the physiological and behavioral variables of pasture-raised Holstein heifers on the basis of their coat color. Eight heifers were used, four with black coat, and four with white coat. In the morning and afternoon periods, their physiological variables were measured, namely respiratory rate (RR, mov min. -1), rectal temperature (TR, ºC), and coat surface temperature (TS, ºC). The behavior analysis considered the site (sun or shade), position (standing or lying down), and activities (idleness, rumination, grazing, and others). The data of the physiological variables were assessed through analysis of variance, and significance, through Tukey’s test at 5%, while behavioral data were assessed using the Chi-squared test (SAS Software). There was a difference for all of the heifers’ physiological variables as a function of coat color (p &lt; 0.0001) and period (p &lt; 0.0001), with black ones showing greater results than white ones as to all physiological variables in the afternoon period (p &lt; 0.0001). Grazing behavior is reduced during the hottest hours of the day. We conclude that solar radiation changes the physiological variables and grazing behavior of pasture-raised Holstein heifers.

Diurnal Variation in Concentration of Culturable Bacterial and Fungal Bioaerosols in Winter to Spring Season

Diurnal variations in the concentrations of culturable fungal and bacterial bioaerosols were measured during winter and spring. Significant variations in concentrations of bacterial bioaerosols were observed during the day in this measurement campaign. The bacterial bioaerosol concentration exhibited two peaks during the morning and evening periods in the winter season. Diurnal variation in bacterial bioaerosols was greater in spring than that in winter. However, fungal bioaerosol concentrations were not affected by diurnal and seasonal changes. Environmental properties such as temperature, relative humidity, and ultraviolet irradiation intensity were measured, and their relationship with bioaerosol concentrations was analyzed. The surrounding temperature was suspected as a significant factor. This diurnal variation in culturable bioaerosols can explain various public health phenomena. Variations in the concentrations of non-biological aerosol particles were also analyzed.

The efficacy of a home-use metabolic device (Lumen) in response to a short-term low and high carbohydrate diet in healthy volunteers.

Based on stoichiometric assumptions, and real-time assessment of expired carbon dioxide (%CO2) and flow rate, the Lumen device provides potential for consumers/athletes to monitor metabolic responses to dietary programs outside of laboratory conditions. However, there is a paucity of research exploring device efficacy. This study aimed to evaluate Lumen device response to: i) a high-carbohydrate meal under laboratory conditions, and ii) a short-term low- or high-carbohydrate diet in healthy volunteers. Following institutional ethical approval, 12 healthy volunteers (age: 36±4yrs; body mass: 72.1±3.6 kg; height: 1.71±0.02 m) performed Lumen breath and Douglas bag expired air measures under fasted laboratory conditions and at 30 and 60min after a high-carbohydrate (2g·kg-1) meal, along with capilliarized blood glucose assessment. Data were analyzed using a one-way ANOVA, with ordinary least squares regression used to assess the model between Lumen expired carbon dioxide percentage (L%CO2) and respiratory exchange ratio (RER). In a separate phase, 27 recreationally active adults (age: 42±2yrs; body mass: 71.9±1.9 kg; height: 1.72±0.02 m) completed a 7-day low- (~20% of energy intake [EI]; LOW) or high-carbohydrate diet (~60% of EI; HIGH) in a randomized, cross-over design under free-living conditions. L%CO2 and derived Lumen Index (LI) were recorded daily across morning (fasted and post-breakfast) and evening (pre/post meal, pre-bed) periods. Repeated measures ANOVA were employed for main analyses, with Bonferroni post-hoc assessment applied (P ≤0.05). Following the carbohydrate test-meal, L%CO2 increased from 4.49±0.05% to 4.80±0.06% by 30min, remaining elevated at 4.76±0.06% by 60min post-feeding (P <0.001, ηp2=0.74). Similarly, RER increased by 18.1% from 0.77±0.03 to 0.91±0.02 by 30min post-meal (P =0.002). When considering peak data, regression analysis demonstrated a significant model effect between RER and L%CO2 (F=5.62, P =0.03, R2=0.20). Following main dietary interventions, no significant interactions (diet × day) were found. However, main diet effects were evident across all time-points assessed, highlighting significant differences for both L%CO2 and LI between LOW and HIGH conditions (P <0.003). For L%CO2, this was particularly noted under fasted (4.35±0.07 vs. 4.46±0.06%, P =0.001), pre-evening meal (4.35±0.07 vs. 4.50±0.06%, P <0.001), and pre-bed time-points (4.51±0.08 vs. 4.61±0.06%, P =0.005). Our findings demonstrated that a portable, home-use metabolic device (Lumen) detected significantly increased expired %CO2 in response to a high-carbohydrate meal, and may be useful in tracking mean weekly changes to acute dietary carbohydrate modifications. Additional research is warranted to further determine the practical and clinical efficacy of the Lumen device in applied compared to laboratory settings.