Peak Time Research Articles

Abstract 14577: Electrocardiogram Parameters for Predicting the Severity of Coronary Artery Disease in Non-ST Segment Elevation Acute Coronary Syndrome

Background: Quantitative electrocardiogram (ECG) parameters have been found to correlate with severity of coronary artery disease (CAD). Thus, it may serve the purpose of risk stratifying patients with non-ST segment elevation acute coronary syndrome (NSTEACS). But little is known about the accuracy of each parameter.So, this study was done to assess the correlation of ECG parameters with severity of CAD in patients with NSTEACS and to compare the diagnostic accuracy among them. Methods: 178 patients with NSTEACS with left ventricular ejection fraction >50% were selected for the study after excluding patients with heart failure, arrhythmia, prior myocardial infarction or revascularisation. P wave peak time (PWPT), corrected QT dispersion (cQTd) and QT dispersion ratio (QTDR) was calculated in all patients. CAD severity was assessed visually by coronary angiography and calculating the syntax score. Results: PWPT, cQTd and QTDR were increased significantly in patients with left main (LM) or triple vessel disease (TVD) than others. These parameters also showed a strong positive correlation with the syntax score ( P<.001 ). Among these parameters, cQTd showed the best diagnostic accuracy (76% sensitivity and 64% specificity) to detect LM or TVD with a cut-ff value of 74 ms. Conclusion: PWPT, cQTd and QTDR may help to identify high risk patients with NSTEACS and early invasive procedure can be done to salvage a large area of myocardium at jeopardy. These may be particularly helpful to the physicians in periphery who have limited resources. Keywords: coronary artery disease, non-ST segment elevation acute coronary syndrome, P wave peak time, corrected QT dispersion, QT dispersion ratio

Abstract 14513: A Bayesian Analysis of Circadian Variation in Sudden Death in Wake County, North Carolina

Introduction: Sudden death is often attributed to coronary artery disease. Demonstrating that sudden death exhibits a different circadian profile than coronary artery disease would support the emerging concept that sudden death is a syndrome, with multiple etiologies. Hypothesis: Sudden death will demonstrate a circadian peak with deaths more frequent in the morning hours. Methods: The study analyzed 399 sudden death victims aged 18-64 attended by Wake County Emergency Medical Services (EMS) from 2013 to 2015. Time of death was determined using EMS records and medical examiner reports. When time of death could not be reliably determined for a victim, the victim was removed from the study. Only 169 deaths (42.3%) where time of death was reliably known to within one hour were included in the final analysis. Bayesian hierarchical modeling identified the location and/or absence of peak times for sudden death victims overall and subgroups with heart failure (19), coronary artery disease (40), hypertension (89), and respiratory disorders (48). Results: Time of death for all-cause sudden death victims spanned from 6:30 AM to noon, with no evidence of a specific, circadian peak. However, sudden death victims with underlying chronic heart failure displayed a strong circadian peak around 7:00 AM, while respiratory disorder cases showed a limited peak in the mid to late morning. Victims with coronary artery disease and hypertension exhibited no peak (Figure 1). Conclusions: Sudden death victims lack a distinct overall pattern for time of death. However, individuals with underlying heart failure and possibly respiratory diseases demonstrate a circadian pattern. These findings support the notion that sudden death has multiple causes beyond coronary artery disease. Future preventive interventions should consider the diverse etiologies of sudden death.

Method for evaluating fairness of electricity tariffs with regard to income level of residential buildings

Modern advancements in energy technology, such as smart meters and renewable power generation, have contributed to the increasing penetration of time-variable electricity pricing plans. Under such plans, consumers experience a higher financial burden for consuming electricity when overall demand is high. Lower-income households may be disproportionately burdened by the transition to time-variable pricing because they tend to have less efficient homes and appliances, which may necessitate greater overall electricity consumption, especially during peak times. The goal of this work is to create a broadly applicable framework for evaluating the fairness of utility pricing plans. The proposed slope analysis method examines the distribution of a fairness metric across income levels in order to determine the level of fairness exhibited by a pricing plan. This work utilizes three fairness metrics, which are based on total household electricity bill and income, as a proof-of-concept for the slope analysis method and assesses their viability for fairness research. The proposed method also utilizes household energy models to represent various income levels for any location with sufficient data. The framework is evaluated using simulated households across 5 income levels and 3 climate zones in the United States. Fairness metrics are applied to the utility bills calculated under Real-Time Pricing and existing tariffs offered at each location. The proposed fairness evaluation method provides a quantitative measure of fairness and is broadly applicable across location and pricing plans. The metric based on the change in percentage of income spent on utilities considers the relative financial burden on households, which results in the slope analysis method outputting conclusive, accurate fairness determinations more often than the other examined metrics. The results demonstrate disparity in energy affordability, and the proposed slope analysis and model simulation methods provide a readily transferable testbed to evaluate energy policy equity.

Obciążenia cieplne człowieka podczas niezwykle ciepłych miesięcy letnich w Krakowie = Human thermal stress during exceptionally warm summer months in Kraków (Poland)

This study aims to characterise human heat loads during the three hottest summer months recorded in Krakow at the beginning of the 21st century, namely in July 2006, August 2015, and June 2019. This goal can be reduced to the questions of how far these loads deviated from the average conditions and what was the impact of circulation. The study showed that the months in question belonged to the thermally anomalous category, where the temperature significantly exceeded (by at least 2 standard deviations, SD) the long-term average. The study was based on the UTCI values calculated taking into account four meteorological elements recorded at three times of the day (6:00, 12:00 and 18:00 UTC). The analysis was referenced against the latest 30-year period (1991-2020) and relied on the calendar of circulation types and air masses for southern Poland by T. Niedźwiedź. The outcome of the study showed that the highest heat load intensity occurred in the first half of August 2015, when the all-day heat stress prevailed on most of the days, it reached strong stress levels at peak human activity time and included severely strong stress condition on three days of that period. Similar heat load conditions occurred in July 2006, but this time in two separate spells: 5-13 July and 18-23 July. In June 2019, the heat stress load started to grow at the beginning of the month and culminated in two peaks: first in the early 20s of the month and then again between 25-27 July. Causes for the occurrence of unusually warm months should be seen not just in the warming of the Earth's climate, but also in the variability of atmospheric circulation. The intensity of the heat was influenced by the nature of the circulation, by the direction of advection and by the type of air masses. All the spells of days with the strongest heat stress during these three exceptionally warm months coincided with anticyclonic circulation from the southern sector (Sa and SWa), bringing hot tropical air masses.

Relevant Studies on Cytokines Level and CAR-T Expansion Associated to CD7 CAR-T Therapy

Background In the past few years, CD7 became a highly reliable marker of CAR-T therapy treating T cell acute lymphocytic leukemia(T-ALL). In this case, better understanding of CD7 CAR-T therapy on cellular level became meaningful. Aim To figure out the correlation of cytokines level and CAR-T expansion to CRS and outcomes of CD7 CAR-T therapy. Methods Peripheral blood samples were collected from 70 patients treated with CD7 CAR-T from Dec. 2020 to Nov. 2022 in Hebei Yanda Ludaopei Hospital. There were 56 males and 14 females, from 2-year old to 60 with median age 19. Based on criteria of CRS and assessment results, 70 patients were split in different groups. According to CRS level, two groups were set as low (CRS0-1, 56 of 70) group and high group (CRS2-4, 14 of 70). Due to assessment results, 55 of 70 were classified as CR/CRi group, 15 of 70 were Non-CR group. 24 Cytokines (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17A, IL-17F, IL-22,TNFα, TNFβ, IFN-γ, IL-2RA/sCD25, MIP-1α, MCP-1, GM-CSF, IL-15, REG3a, Elafin, ST-2, Granzyme B, TNFRI) were measure with microbeads with 2 lasers 4 colour Calibur flow cytometer. CAR-T cells, target cells(CD7+ cells), T cells subsets(CD3+, CD4+, CD8+, CD8+TCM, CD8+TEM, Treg) were tested with 3 lasers 8-10 colour Canto flow cytometer. All the cellular variations were calculated by comparing value of peak-time to value of D0 which was used as baseline. Time points day0, 4, 7, 11, 14, 21, 30 were monitored after CAR-T infusion. FCM data was analyzed with Diva software. Prism 8 was used for statistic analyse. Results According to patient characteristics (shown in table 1a), no matter under which criteria, patients in all 4 groups had similar median age and transfection efficiency. First of all, based on criteria of CRS level, patients were split into low group and high group(upper table 1a). CAR-T peak time was appeared significantly later(p=0.0274) in high group. Along with that, in high group, CD8+TEM(effect memory T) cells was amplified significantly more than that in low group at peak time point(p=0.0258). Clearance rates of target cells(CD7+) in low group were significantly higher(p=0.003). According to cytokine secretion levels, the level of IL-4(p=0.0183), IL-6(p<0.0001), IL-8(p=0.043), IL-10(p<0.0001), IL-22(p=0.0463), IFN-γ(p<0.0001), sCD25(<0.0001), MCP-1(p=0.0092), IL-15(p=0.0029), Granzyme B(p=0.0027) were significant higher in high group(as shown in figure 1). All median peak time of those 10 cytokines in high group were calculated, from day 10 up to day 15 after CAR-T infusion. According to the time gap between each of 10 cytokines with CAR-T expansion, MCP-1 had the largest time gap, which means MCP-1 reached peak time 9 days earlier than that of CAR-T cells. The median peak-time gap between cytokines level with CAR-T cells expansion was 6 days(showed in table 1b). Secondly, due to criteria of assessment results of CD7 CAR-T therapies, 70 patients were classified as CR/CRi group and Non-CR group (lower table 1a). CAR-T expansion, T cell subsets variation showed no statistical difference between two groups, and only target cells (CD7+) clearance rate was significantly higher in CR group. For all 24 cytokines measured in this study showed no significant differences between both groups. Conclusions Base on our data, IL-4, IL-6, IL-8, IL-10, IL-15, IL-22, IFN-γ, sCD25, MCP-1, and Granzyme B were correlated to severity of CRS after CD7 CAR-T therapy. Those 10 cytokines showed positive correlation to the level of CRS, and reached peak time earlier than that of CAR-T expansion, which means all these 10 cytokines could be used as indicators to predict occurrence and severity of CRS. Concurrence time of peak expansion of CD7 CAR-T cells, and amplification of CD8+TEM cells were significantly related to CRS. For all the patients who reached complete remission or CRi, CD7+ clearance rates were higher with statistical significance. Our results proved potential indicators for CRS prediction and prognosis.

Water stress significantly affects the diurnal variation of solar-induced chlorophyll fluorescence (SIF): A case study for winter wheat

Remote sensing of Solar-induced chlorophyll fluorescence (SIF) has been widely used in estimating Gross Primary Productivity (GPP) and detecting stress in terrestrial ecosystems. Water stress adversely impacts the growth, development, and productivity of a plant. Recently, the characterizing and understanding of the diurnal cycling of plant functioning and ecosystem processes has been explored using SIF. However, the diurnal response of SIF to different levels of water stress remains unclear. This study conducted field experiments on winter wheat by subjecting it to different levels of water stress including well-watered (CK) and, mild, moderate, and severe water stress (D1, D2, D3), and collected the spectral data using an automated SIF measurement system. The results observed the strong SIF-PAR (photosynthetically active radiation) correlations and that these relationships gradually decoupled with increasing water stress, which further decreased the accuracy of temporal upscaling of far-red SIF from an instantaneous to daily scale. To quantify the characteristics of diurnal far-red SIF, five indices including peak time, peak value, curve opening coefficient (leading coefficient of the parabola), and left/right slopes of the peak were proposed. The results demonstrated that diurnal far-red SIF was characterized by an earlier peak time, decreasing peak value, wider curve opening, and flattening right slope from the CK plot to the D3 plot. There were certain mechanisms linking the different indices, for example, between peak size and opening coefficient. Furthermore, the response of far-red SIF to water stress was most pronounced at noon. SIF/PAR exhibited a more significant response to varying water stress compared to far-red SIF, which mitigated the negative influence of PAR variations on diurnal SIF. These findings contribute to the monitoring of plant water dynamics at fine temporal scales.

Mental fatigue impairs repeated sprint and jump performance in team sport athletes

ObjectivesWe tested whether mental fatigue (MF), induced by a cognitively-demanding task, would impair repeated sprint ability (RSA) and repeated jump ability (RJA) performance, and whether physical fatigue and MF would impair psychomotor vigilance. DesignRandomized within-participant design. MethodsAfter establishing baseline peak countermovement jump (CMJ), 18 male participants performed 12 maximal 20-m (10-m linear + 10-m directional) repeated sprints (RSA random test) followed by 12 maximal repeated CMJs (RJA test) subsequent to 30-min Stroop task (MF) or a documentary (Control). Peak and mean running time and height, percent decrement score (Sdec), blood lactate, heart rate and RPE were measured for CMJ, RSA, and RJA tests. MF (M-VAS) and psychomotor vigilance [psychomotor vigilance test (PVT)] were measured at baseline, after each condition, and after the RSA/RJA tests. ResultsCompared to Control, the Stroop task elevated MF (p = .001), RPE ratings (all p < .031), and mean and Sdec performance in directional (but not linear) RSA (all p < .032) and RJA tests (all p < .034). PVT score worsened after Stroop task (p = .011) but not Control, declined after RSA/RJA tests in both conditions (all p < .023) and was lower in the MF condition (p = .029). No condition differences were noted for peak (CMJ, RSA and RJA tests) performance, blood lactate, and heart rate. ConclusionsMF impairs directional RSA, and RJA performance. This impairment was linked with increased RPE and without physiological changes. The progressive impairment in PVT score suggests a cumulatively negative effect of mental and physical fatigue on psychomotor vigilance.

SNAPIG: a model to study nutrient digestion and absorption kinetics in growing pigs based on diet and ingredient properties

Current feed formulation and evaluation practices rely on static values for the nutritional value of feed ingredients and assume additivity. Hereby, the complex interplay among nutrients in the diet and the highly dynamic digestive processes are ignored. Nutrient digestion kinetics and diet × animal interactions should be acknowledged to improve future predictions of the nutritional value of complex diets. Therefore, an in silico nutrient-based mechanistic digestion model for growing pigs was developed: “SNAPIG” (Simulating Nutrient digestion and Absorption kinetics in PIGs). Aiming to predict the rate and extent of nutrient absorption from diets varying in ingredient composition and physicochemical properties, the model represents digestion kinetics of ingested protein, starch, fat, and non-starch polysaccharides, through passage, hydrolysis, absorption, and endogenous secretions of nutrients along the stomach, proximal small intestine, distal small intestine, and caecum + colon. Input variables are nutrient intake and the physicochemical properties (i.e. solubility, and rate and extent of degradability). Data on the rate and extent of starch and protein hydrolysis of different ingredients per digestive segment were derived from in vitro assays. Passage of digesta from the stomach was modelled as a function of feed intake level, dietary nutrient solubility and diet viscosity. Model evaluation included testing against independent data from in vivo studies on nutrient appearance in (portal) blood of growing pigs. When simulating diets varying in physicochemical properties and nutrient source, SNAPIG can explain variation in glucose absorption kinetics (postprandial time of peak, TOP: 20–100 min observed vs 25–98 min predicted), and predict variation in the extent of ileal protein and fat digestion (root mean square prediction errors (RMSPE) = 12 and 16%, disturbance error = 12 and 86%, and concordance correlation coefficient = 0.34 and 0.27). For amino acid absorption, the observed variation in postprandial TOP (61 ± 11 min) was poorly predicted despite accurate mean predictions (58 ± 34 min). Recalibrating protein digestion and amino acid absorption kinetics require data on net-portal nutrient appearance, combined with observations on digestion kinetics, in pigs fed diets varying in ingredient composition. Currently, SNAPIG can be used to forecast the time and extent of nutrient digestion and absorption when simulating diets varying in ingredient and nutrient composition. It enhances our quantitative understanding of nutrient digestion kinetics and identifies knowledge gaps in this field of research. Already useful as research tool, SNAPIG can be coupled with a postabsorptive metabolism model to predict the effects of dietary and feeding-strategies on the pig’s growth response.

High prevalence group testing in epidemiology with geometrically inspired algorithms

Demand for mass surveillance during peak times of the SARS-CoV-2 pandemic caused high workload for clinical laboratories. Efficient and cost conserving testing designs by means of group testing can substantially reduce resources during possible future emergency situations. The novel hypercube algorithm proposed by Mutesa et al. 2021 published in Nature provides methodological proof of concept and points out the applicability to epidemiological testing. In this work, the algorithm is explored and expanded for settings with high group prevalence. Numerical studies investigate the limits of the adapted hypercube methodology, allowing to optimize pooling designs for specific requirements (i.e. number of samples and group prevalence). Hyperparameter optimization is performed to maximize test-reduction. Standard deviation is examined to investigate resilience and precision. Moreover, empirical validation was performed by elaborately pooling SARS-CoV-2 virus samples according to numerically optimized pooling designs. Laboratory experiments with SARS-CoV-2 sample groups, ranging from 50 to 200 items, characterized by group prevalence up to 10%, are successfully processed and analysed. Test-reductions from 50 to 72.5% were achieved in the experimental setups when compared to individual testing. Higher theoretical test-reduction is possible, depending on the number of samples and the group prevalence, indicated by simulation results.

Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network

The global consensus on carbon peak and carbon neutral goals extends to the transport sector. This paper provides a method for simulating the carbon emission peak time and peak value within a container intermodal network (CIN). Our approach commences by capturing the fundamental network elements, including nodes, routes, and freight flows, through intermodal network modeling. We then integrate a carbon emission model with scenario analysis, utilizing Monte Carlo simulation to predict the probability of the CIN's carbon emission peak time and value. Finally, using the Yangtze River Delta regional container intermodal network (YRD-CIN) as a case study, 15 scenarios are set up to explore the effects of intermodal transport network development on carbon peaks and peak times under varying conditions in the YRD region. The findings demonstrate the significant influence of modal transport shifts, network connectivity, and energy technology levels on the carbon peak in the YRD-CIN.

Fish chorus variation in a tropical estuarine environmenta).

Fish choruses are still understudied in the Southwestern Atlantic Ocean. Temporal and spatial variation of fish choruses at two sites inside Guanabara Bay were investigated between 2021 and 2022; one sampling site was in a Marine Protected Area (MPA), and the other was in a rocky environment closer to vessel trafficking areas. Acoustic recordings were performed on 17 sampling occasions of 24 h, coupled to a temperature data logger. Long-term spectral averages were employed to determine choruses' start, end, and peak times, and third-octave levels were used to characterize spectral characteristics. Fish sounds were also analyzed and investigated with a principal components analysis. Choruses in the MPA lasted, on average, 4.5 h and had a peak frequency of 547.2 ± 226.6 kHz with a peak level of 104.6 ± 8.7 dB re 1 μPa. In contrast, the rocky site choruses lasted 5.5 h on average and had a peak frequency of 371.7 ± 131.0 Hz with a peak level of 113.4 ± 4.0 dB re 1 μPa. Chorus peak frequency was positively correlated to temperature (r = 0.4). Different types of fish sounds were identified, with some acoustics parameters varying between sites. Results indicate more than one chorusing species that may react to different factors.

Acute gastroenteritis outbreak associated with multiple and rare norovirus genotypes after storm events in Santa Catarina, Brazil.

Norovirus is a major cause of acute diarrheal disease (ADD) outbreaks worldwide. In the present study, we investigated an ADD outbreak caused by norovirus in several municipalities of Santa Catarina state during the summer season, southern Brazil in 2023. As of the 10th epidemiological week of 2023, approximately 87 000 ADD cases were reported, with the capital, Florianópolis, recording the highest number of cases throughout the weeks. By using RT-qPCR and sequencing, we detected 10 different genotypes, from both genogroups (G) I and II. Some rare genotypes were also identified. Additionally, rotavirus and human adenovirus were sporadically detected among the ADD cases. Several features of the outbreak suggest that sewage-contaminated water could played a role in the surge of ADD cases. Storm events in Santa Catarina state that preceded the outbreak likely increased the discharge of contaminated wastewater and stormwater into water bodies, such as rivers and beaches during a high touristic season in the state. Climate change-induced extreme weather events, including intensified rainfall and frequent floods, can disturb healthcare and sanitation systems. Implementing public policies for effective sanitation, particularly during peak times, is crucial to maintain environmental equilibrium and counter marine pollution.

Effects of Flow Unsteadiness on the Transport of Bimodal Bed Material

The grain size distribution of the transported bed load was experimentally investigated under unsteady flow conditions with bimodal mixture of sand and gravel in a laboratory flume. Five various triangular hydrographs were generated. A clockwise behavior for the total bed load versus shear velocity was observed meaning that the bed load during rising limb was higher than that of falling limb. It was found that the percent finer at the plateau of bimodal sediment size distribution curve had higher values during the initial and final phases compared to those obtained during the peak time. At all plateaus, the percent finer values related to the hydrograph peak discharge were in the same order of magnitude with that of the bed material. The sand content of the transported bed material initially decreased, then maintained a constant value during a certain time interval and finally returned to its original value. The sand percent of the bed load decreased in the falling limb showing a counterclockwise loop and the duration of the hydrograph did not affect the results considerably. The greater the peak flow rate of the hydrograph, the greater was the hysteresis. The bimodality index was calculated for all transported sediment samples and it was revealed that its initial and final values were less than that of the bed material but it was approximately the same elsewhere. The 5% finer sediment amount was nearly equal during rising and falling limbs. It was revealed that D50 value of the bed load decreased in the rising limb showing a clockwise loop. The hysteresis was not considerably changed according to the hydrograph characteristics. The clockwise type hysteresis was also observed for the size group of D95. The lag increased as the peak flow rate increased. A strong relation was found between the dimensionless total bed load Wt* and the total work index Wk as well as Wk and the ratio WR/WF. The correlations between the dimensionless total bed load and the unsteadiness parameters P, and Pmod were very weak, whereas a high value of determination coefficient was obtained with the unsteadiness parameter Pgt, implying an appreciable interdependence.

Understanding the effect of cobalt on the precipitation hardening behavior of the maraging stainless steel

The effect of cobalt on the precipitation hardening behavior of the maraging stainless steels was studied. The hardness test indicated that cobalt addition could advance peak aging time and generate a higher peak hardness. The statistical results of nano-size precipitates distribution demonstrated that cobalt increased the density of precipitates, thus resulting in a stronger precipitation hardening contribution. Based on the first-principles calculations and atom probe tomography (APT) results, a possible mechanism has been proposed to reveal the underlying mechanism: cobalt promotes the nucleation of precipitates by decreasing the diffusion activation energy of Ni and Ti.

49 Cerebral hemodynamic during motor imagery of self-feeding with chopsticks: Differences between dominant and nondominant hand

Objective:Motor imagery is defined as a dynamic state during which a subject mentally simulates a given action without overt movements. Our aim was to use near-infrared spectroscopy to investigate differences in cerebral hemodynamic during motor imagery of self-feeding with chopsticks using the dominant or non-dominant hand.Participants and Methods:Twenty healthy right-handed people participated in this study. The motor imagery task involved eating sliced cucumber pickles using chopsticks with the dominant (right) or non-dominant (left) hand. Activation of regions of interest (pre-supplementary motor area, supplementary motor area, pre-motor area, pre-frontal cortex, and sensorimotor cortex was assessed.Results:Motor imagery vividness of the dominant hand tended to be significantly higher than that of the non-dominant hand. The time of peak oxygenated hemoglobin was significantly earlier in the right pre-frontal cortex than in the supplementary motor area and left pre-motor area. Hemodynamic correlations were detected in more regions of interest during dominant-hand motor imagery than during non-dominant-hand motor imagery.Conclusions:Hemodynamic might be affected by differences in motor imagery vividness caused by variations in motor manipulation.

Reduction of heat load in an air-conditioned bus employing phase change material integrated glass window and roof: A coupled numerical and analytical approach

The study aims to analyze the heat load in an air-conditioned bus cabin by attaching a layer of phase change material to its roof and window glass. Enthalpy equation coupled with momentum and continuity equations has been solved in PCM layer, whereas only the diffusion equation is solved in roof and glass to obtain the spatiotemporal distribution of the temperature. A significant reduction in temperature on the inner and outer surfaces of the glass window and roof is noticed when PCM is attached. The inner surface of the glass shows a temperature reduction from 310 K to 301.5 K at 2.00 P.M, whereas the roof reveals a significant decrease of 14 K temperature when PCM is glued underneath. PCM helps keep the temperature at the inner surface under 302 K up to 12.00 pm However, the temperature rises to 308 K when PCM is not attached. The PCM thickness has a significant impact on temperature. An increase in thickness from 6 mm to 12 mm leads to a temperature reduction of 3 K to 4 K. Focusing on the performance of PCM, Na2SO4.10 H2O as a PCM is found to be beneficial since the phase change process (liquid fraction between 0 and 1) exists for a longer duration due to its high latent heat of fusion. The reduction in temperature using PCM is implicitly reflected in curtailing the total heat load in the cabin. Approximately 5 kW (45%) reduction in total heat load has been achieved using a 12 mm PCM layer on glass and roof during the peak time of solar radiation, substantially saving fuel and battery energy.

Convection-Permitting Simulations of Precipitation over the Peruvian Central Andes: Strong Sensitivity to Planetary Boundary Layer Parameterization

Abstract Regional climate dynamical downscaling at convection-permitting resolutions is now practical and has the potential to significantly improve over coarser-resolution simulations, but the former is not necessarily free of systematic biases. The evaluation and optimization of model configurations are therefore important. Twelve simulations at a grid spacing of 3 km using the WRF Model with different microphysics, planetary boundary layer (PBL), and land surface model (LSM) schemes are performed over the Peruvian central Andes during the austral summer, a region with particularly complex terrain. The simulated precipitation is evaluated using rain gauge data and three gridded precipitation datasets. All simulations correctly capture four precipitation hotspots associated with prevailing winds and terrain features along the east slope of the Andes, though they generally overestimate the precipitation intensity. The simulation using Thompson microphysics, Asymmetric Convection Model version 2 (ACM2) PBL, and Noah LSM schemes has the smallest bias. The simulated precipitation is most sensitive to PBL, followed by microphysics, and least sensitive to LSM schemes. The simulated precipitation is generally stronger in simulations using the YSU rather than the MYNN and ACM2 schemes. All simulations successfully capture the diurnal precipitation peak time mainly in the afternoon over the Peruvian central Andes and in the early morning along the east slope. However, there are significant differences over the western Amazon basin, where the precipitation peak occurs primarily in the late afternoon. Simulations using YSU exhibit a 4–8-h delay in the precipitation peak over the western Amazon basin, consistent with their stronger and more persistent low-level jets. These results provide guidance on the optimal configuration of a dynamical downscaling of global climate projections for the Peruvian central Andes.

Ankle biomechanics of the three-step layup in a basketball player with chronic ankle instability

At present, the effects of chronic ankle instability (CAI) on the biomechanics of the ankle joint in the three-step layup of basketball players are not clear. This work aims to thoroughly investigate the impact of CAI on the biomechanical characteristics of the ankle during the execution of a three-step layup in basketball players. Thirty male basketball players were stratified into distinct groups—namely, a CAI group and a non-CAI group—comprising 15 individuals each, based on the presence or absence of CAI. Demographic attributes, including age, weight, height, and the Cumberland Ankle Instability Tool (CAIT) score, were subjected to rigorous statistical examination within both athlete cohorts. The research employed four Whistler 9281CA 3D force measuring platforms (Switzerland), recording at 1000 Hz, in conjunction with eight camera motion analysis systems (USA), functioning at a frequency of 200 Hz. The study recorded maximal plantarflexion angle, inversion angle, dorsiflexion angle, and peak ankle dorsiflexion moment across the subjects during the distinct phases of push-off, landing, and the ensuing landing period. The findings notably exhibited that within the context of the one-foot push-off phase, the maximum ankle inversion angle was notably diminished in the CAI group as contrasted with the non-CAI group, demonstrating statistical significance (t = − 3.006, P < 0.01). The CAI group exhibited a lesser alteration in ankle inversion angle compared to the non-CAI group. Notably, during the one-foot landing period, the CAI group demonstrated a significantly greater maximum ankle inversion angle in contrast to the non-CAI group (t = 8.802, P < 0.001). Furthermore, the CAI group displayed a substantially larger maximum dorsiflexion angle at the ankle joint compared to the non-CAI group (t = 2.265, P < 0.05). Additionally, the CAI group exhibited a prolonged peak time for ankle dorsiflexion moment as compared to the non-CAI group (t = − 2.428, P < 0.05). Collectively, the findings elucidated a reduction in the maximum ankle joint inversion angle during the one-foot push-off phase in individuals with CAI. Furthermore, increased maximum inversion angle and maximum dorsiflexion angle of the ankle joint were observed during the one-foot landing period, alongside a lengthening of the peak time of ankle dorsiflexion moment. These results contribute valuable insights into the selection of training methodologies for basketball players afflicted by CAI.

Simplicity is the ultimate sophistication: One-step forming for thermosensitive solid–solid phase change thermal energy harvesting, storage, and utilization

In light of the growing recognition of low-carbon initiatives, renewable energy is gradually assuming a dominant role within the energy framework. Phase change materials can enhance the efficiency of renewable energy utilization by energy peak shaving and time shifting. However, leakage and inherent rigidity signify that a significant amount of energy input is required for scale-up applications of phase change materials to enhance shape stability and processability during industrial installation. In conventional enhancement strategies, high-quality encapsulation means more intricate processes and higher energy consumption. Here we propose a simplified thermally-initiated encapsulation and molding strategy, which involves grafting the phase change materials onto thermosetting polymer backbones by covalently integrated, to construct self-supported phase change materials with complex three-dimensional geometry. The encapsulation process is macroscopically manifested as a transformation from solid-liquid to solid–solid phase change. Therefore, by imposing restrictions on liquid materials, any ultra-high-precision complex structure can be molded, and mechanical properties are imparted through curing to achieve shape stability, ultimately enables the integration of phase change material encapsulation and casting. The complete process requires no curing agents or organic solvents, and no pollution emissions, making it highly maneuverable and environmentally friendly. Furthermore, we demonstrate the universal high value applications of new materials in different fields. In the ancient thermotherapy experiment, the sample exhibited sustained heat release for 8 min. In the advanced chip cooling simulation, the chip exhibits superior heat dissipation performance, as evidenced by its operating temperature being 50 °C lower than that of natural cooling within 20 min. It confirms the remarkable potential of phase change materials constructed through this approach for thermal energy applications.

Survival Analysis On The Reproductive And Production Performances Of Dairy Cow In Bogor

The aim of this study was to analyze the reproductive performance (empty period) and production (peak time of milk production) of 87 dairy cows (Friesian Holstein) at X dairy farm Bogor using survival analysis. The analysis results based on the Kaplan-Meier curve showed that the median total idle time, primiparous cow, multiparous cow, cow that gave birth in the rainy and dry seasons were 210; 335; 231; 272; and 397 days. The median value of the total peak milk production, primiparous cow, multiparous cow, cow that give birth in the rainy and dry seasons is 41; 41; 39; 41; 41 days. The Cox Proportional Hazard regression results on idle time showed that the multiparous cow was 1.84 times more likely (P&lt;0.05) to have a shorter idle period than the primiparous cow. Cows that gave birth during the rainy season had a 1.80 times shorter chance than cows that gave birth during the dry season, although they were not statistically significantly different (P=0.043). The regression results on peak milk production showed no difference between cows and primiparous cows. Meanwhile, cows that gave birth during the rainy season experienced peak lactation 1.26 times and tended to be faster than cows that gave birth during the dry season, although this was not statistically significant. The study's conclusions show that it was necessary to improve the management of reproduction and production of X dairy farm in Bogor.