Daily Peak Research Articles

Long-term efficacy and safety of stapokibart for moderate-to-severe atopic dermatitis: 52-week results from a phase 3 trial.

Management of moderate-to-severe atopic dermatitis (AD) needs long-term therapy. Stapokibart is a humanized monoclonal antibody targeting interleukin-4 receptor α subunit (IL-4Rα), a shared receptor for IL-4 and IL-13 which are key pathogenic drivers of AD. In a pivotal phase 3 trial (NCT05265923), significant higher proportions of adult AD patients receiving stapokibart than placebo achieved ≥75% improvement from baseline in Eczema Area and Severity Index (EASI-75; 66.9% vs. 25.8%) and Investigator's Global Assessment (IGA) score of 0/1 with ≥2-point reduction (44.2% vs. 16.1%) at Week 16. Herein, we report long-term (52 weeks) efficacy and safety of stapokibart from this trial. After 16-week double-blind treatment completed, patients in both stapokibart and placebo groups entered a 36-week maintenance treatment period and received stapokibart 300 mg every 2 weeks. Concomitant use of topical medications for AD was permitted throughout the maintenance period. Of 476 patients entering maintenance period, 430 completed the treatment. At Week 52, EASI-75 was achieved in 92.5% of patients continuing stapokibart and 88.7% of those switching from placebo to stapokibart, respectively; an IGA score of 0 or 1 with a ≥2-point reduction was achieved in 67.3% and 64.2% of patients, respectively; a ≥4-point reduction in weekly average of daily Peak Pruritus Numerical Rating Scale (PP-NRS) was achieved in 67.3% and 60.5% of patients, respectively. Over the 52-week treatment period, 88.1% of patients reported treatment-emergent adverse events, most were mild or moderate. Long-term treatment with stapokibart demonstrated a sustained efficacy and favorable safety profile in adults with moderate-to-severe AD.

Solar Passive House Conceptand Thermal System Design

This aricle puts forward a concept of family home enclosed in a greenhouse. Inspired by Naturhus and Earthship ideas, it leverages thermofluid technologies inspired by nuclear power passive cooling systems. The solar gain of the greenhouse allows for enhanced heating fuel efficiency in winter, while a system of solar-drive heat exchangers dissipates excess heat in summer. This general living qualities of such innovative housing concepts are discussed, followed by an outline of the computational challenges that need to be overcome by experiment-driven modelling, aiming for the demonstrator that successfully controls summer daily temperature peaks.

Daily peak demand forecasting using Pelican Algorithm optimised Support Vector Machine (POA-SVM)

The knowledge of daily peak load consumption is crucial for energy planning, energy management, and resource allocation, as it is an essential element of supply-side management. This knowledge is obtained from accurate predictions of which traditional methods are falling short due to constantly changing demand. Hence, there is a need for Machine Learning (ML) models that are more efficient in hybridised or enhanced forms. This paper presents the use of a novel Pelican Algorithm optimised Support Vector Machine (POA-SVM), a hybridised ML Algorithm, to predict peak load and its corresponding peak hour for proper planning. It evaluates the performance of four Support Vector Machine (SVM) models: standard SVM, SVM optimised with Bayesian Optimisation (SVMB), SVM optimised with Particle Swarm Optimization (PSO-SVM) and POA-SVM on both raw and normalised datasets. Its analysis includes a comparison of performance metrics such as Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared (R²) to determine the models' accuracy and goodness of fit. Furthermore, we experiment with K-fold cross-validation and the hold-out validation method, finding that K-fold cross-validation yields better performance metrics for all models. Notably, the POA-SVM model shows superior performance across all metrics, particularly on the raw dataset, making it a robust choice for forecasting peak demand and its corresponding hour of the day.

Infection risk factor measurement based on spatial and temporal distribution of COVID-19 nucleic acid test sites: an example from Shenzhen

COVID-19 has profoundly impacted global daily life, emphasizing the need for effective virus suppression strategies. In response, China has established numerous nucleic acid testing sites to facilitate rapid testing and curb outbreaks. However, these sites often experience congestion, increasing transmission risks and reducing testing efficiency. This study focuses on the spatial–temporal analysis of testing site distribution and associated infection risks in Shenzhen, China. Data from all Shenzhen testing sites were analyzed for the week of October 24–30, 2022, noting the percentage of busy hours per site and incorporating a population size factor by district to assess regional infection risks. Findings indicate three daily peak testing times—primarily in the evening—with the highest risk of transmission in Longgang District, followed by Yantian and Luohu, and the lowest in Futian. The risk coefficient varied from 0.040 to 0.349, with most areas showing stable risk levels between 0.06 and 0.20. This research underlines the necessity for policymakers to alleviate congestion at testing sites and suggests increasing site availability in Longgang District to mitigate COVID-19 spread, offering methodological guidance for managing infection risks in other major Chinese cities.

Coevolution of non-pharmaceutical interventions and infectious disease spreading in age-structured populations

In the face of emerging major infectious diseases, non-pharmaceutical interventions (NPIs) such as mask-wearing are the primary means of disease control in the early stages due to the lack of effective pharmaceutical interventions. Yet the current understanding of the dynamic feedback loop between NPIs and infectious disease spreading remains limited. In this study, we proposed an asymmetrically coupled dynamic model of the coevolution of mask-wearing behaviour and infectious disease spreading in an age-structured population to describe the bidirectional relationship between NPIs such as mask-wearing and infectious disease spreading. A theoretical analysis framework was developed by extending the microscopic Markov chain method. To reflect the spreading process more realistically, we conducted numerical simulations from a mesoscopic perspective through an age-contact data-driven approach. Critical transition, multi-wave epidemics, multi-transitions, and mixed-phase transitions resulting from the coevolution of mask and disease are observed. The results highlight the critical role of NPIs in controlling disease spreading. The mask-wearing can effectively reduce the daily peak infection density and prevent large-scale outbreaks within a short period. However, it will also prolong the duration of the epidemic and cause the disease to exist in the population for a long time. There is a trade-off between the two. For certain diseases with specific spreading capabilities, pharmaceutical interventions such as vaccination, which can directly reduce the disease’s infectiousness, may result in more people being infected if NPIs are not implemented as early as possible. In addition, results from Anhui indicate that people aged 42 years are at high risk of being infected because of their large population base, which suggests that priority should be given to the prevention and control of this group.

Impact of rising CO2 and temperature on grass phenology, physiology, and pollen release patterns in northern latitudes

Climate change has complex effects on vegetation, including native grasses and those used as fodder plants. Like many other plant species, grasses respond to climate change by altering their phenology and physiological behavior, leading to changes e.g. in growth, reproduction and metabolic processes. Our study is the first to explore how Phleum pratense and Alopecurus pratensis respond to rising CO2 and temperatures projected for northern latitudes for two growing seasons. We investigated growth, phenology, pollen release, and physiological parameters in plants cultivated under these conditions, simulated within environmentally controlled chambers.Treatment with elevated temperature reduced the number of generative tillers and, consequently, decreased both the number of inflorescences and the season pollen integrals. Pollen release from P. pratense started up to 17 days earlier, and the daily peak concentration of released pollen was observed 1–2 h earlier in chambers with elevated temperatures when compared to the present climate conditions. Similar effects were noted in A. pratensis. Elevated CO2 (EC) increased net photosynthesis of P. pratense, but this effect was reduced under elevated temperature (ET), suggesting an antagonistic interaction. In A. pratensis, both elevated CO2 and temperature had an additive effect on increasing net photosynthesis, with the highest rate observed under the combined ETEC treatment. The elevated temperature or CO2 did not affect the plant biomass.Our findings propose that the rising temperatures in northern latitudes decrease the flowering of studied grasses and shift the seasonal and daily start of the pollen release. Changes in tiller proportions, reduced pollen integrals, and fewer inflorescences suggest that a warmer climate may negatively impact reproductive success, ecological fitness, and allergenic burden of these grasses.

Integration of smart charging of large-scale electric vehicles into generation and storage expansion planning: a case study in south china

This paper studies how to integrate the smart charging of large-scale electric vehicles (EVs) into the generation and storage expansion planning (GSEP), while analyzing the impact of smart charging on the GSEP of a real power system in south China. For this purpose, a random simulation-based method is first developed to provide the tractable formulations of the adjustable charging load and reserve provision from EVs. This method avoids the unrealistic assumption that EVs drive and charge every day, which often exists in prior relevant approaches. Based on the random simulation, this paper proposes a novel GSEP optimization model which incorporates the weekly adjustable charging load of EVs. In the proposed model, the total charging load of EVs can be co-optimized with the investment and operational decisions of various generation and storage units. This GSEP model is applied to a provincial power system in south China. The numerical results show that the implementation of smart charging can significantly alter the decisions of GSEP. As the participation rate of smart charging improves from 0% to 90%, there is an additional 1,800 MW installation in wind and solar power, while the need to build new batteries is noticeably reduced; also, depending on the level of EV uptake, the annualized total system cost decreases by 5.11%–7.57%, and the curtailment of wind and solar power is reduced by 10.34%–19.64%. Besides, numerical tests reveal that the traditional assumption that EVs drive and charge every day can mislead the evaluation of adjustable charging load and overestimate the daily charging power peak by averagely 24.72%.

Biobehavioral mechanisms underlying symptoms in cancer patients with chronic graft-versus-host disease

Chronic graft-versus-host disease (cGVHD) is a complication of allogeneic hematopoietic cell transplant (HCT) and is associated with morbidity and high symptom burden. This study evaluated two biobehavioral mechanisms, inflammation and circadian rest-activity rhythms, that may underly commonly reported psychological and physical symptoms in cGVHD patients. Adults with cGVHD (N=57) wore a wrist actigraph for 7 days, provided a blood sample, and completed patient-reported outcome (PRO) measures. 24-hour rest-activity indices were derived from actigraphy. Cytokines and chemokines relevant to cGVHD were measured in peripheral blood plasma using multi-analyte immunoassays. Multiple regression evaluated the extent to which rest-activity indices and inflammatory biomarkers predicted PROs. Higher levels of circulating IL-8 and MIP-1α were associated with worse depression (β = 0.35, p = 0.01; β = 0.33, p = 0.02) and sexual function (β = -0.41, p = 0.01; β = -0.32, p = 0.03). MIP-1α was associated with more severe insomnia (β = 0.36, p = 0.01). Higher circulating MIF was associated with more severe anxiety (β = 0.28, p = 0.048) and fatigue (β = 0.35, p = 0.02). Il-6, TNFα, and MCP-1 showed few associations with PROs. There were few associations between actigraphy indices and PROs; however, participants with a later daily activity peak (acrophase) reported poorer sexual function (β = -0.31, p = 0.04). Models covarying for age, cGVHD severity, and time since HCT yielded a similar pattern of results. Results suggest that pro-inflammatory cytokines and chemokines associated with cGVHD may contribute to PROs, identifying a biobehavioral mechanism that may be a useful target for future interventions.

Kajian Beban Harian pada Jaringan Distribusi Penyulang Jelutung

A distribution network is a conveyor network that connects the load center substation with the customer. The distribution network functions to distribute electrical energy to customers according to the power and voltage needed. The distribution network line from the Aurduri GI Transformer Bay goes to the incoming to be lowered voltage from 150kv to 20kv. After the voltage is lowered, it is directly channeled to the Jelutung Feeder to find out the daily load on the distribution network. The population in this study is "Study of Daily Burden on the Distribution Network of Jelutung Feeders". The highest daily load is the electrical load that occurs at the highest time in 24 hours. This can be affected by household, industrial, commercial activities and weather conditions. Daily peak loads occur at certain times such as the afternoon. The lowest daily load usually occurs in the morning around 06.00 to 07.30. Average lowest current (I) R,S,T 92,275A and lowest power (P) 3.29Mw. While the average highest current is 212.7A and the highest power is 7.54Mw. The highest current in September was on the 15th with a power of 8.0 mw at 18.30.

Randomized, controlled, proof-of-concept trial of gefapixant for endometriosis-related pain

ObjectiveTo evaluate the P2X3 receptor antagonist, gefapixant, for treating moderate-to-severe endometriosis-related pain. DesignRandomized, double-blind, Phase 2, proof-of-concept trial. ParticipantsPremenopausal women age 18-49y with moderate-to-severe endometriosis-related pain who were not using hormonal treatment. InterventionsGefapixant 45mg twice-daily or placebo over two menstrual cycles. Main outcome measuresParticipants rated peak pelvic pain severity daily on a 0 (no pain) - 10 (extremely severe pain) scale. The primary endpoint was change-from-baseline in average daily peak pelvic pain severity during Treatment Cycle 2. ResultsAll 187 participants randomized (gefapixant N=94, placebo N=93) took ≥1 dose of investigational treatment and all but 6 in each treatment group completed the trial. The model-based least squares mean reduction-from-baseline in average daily peak pelvic pain severity during Treatment Cycle 2 was -2.2 for gefapixant and -1.7 for placebo (difference = -0.5 [95% confidence interval: -1.01, 0.03], P=0.066). In secondary analyses, the difference between gefapixant and placebo in peak pelvic pain severity reduction-from-baseline on menstrual days was -0.6 [95% confidence interval: -1.18, -0.06], and -0.5 [95% confidence interval: -1.04, 0.03] on non-menstrual days. Taste-related adverse events were reported in 31.9% of participants for gefapixant versus 4.3% for placebo. Pharmacokinetic assessments at Month 1 and Month 2 clinic visits indicated that of the 94 participants in the gefapixant group, 39 had detectable levels of gefapixant in the blood for both assessments while 38 had no detectable levels for ≥1 assessment. ConclusionGefapixant 45mg twice-daily was not shown to be superior to placebo in reducing endometriosis-related pain, although the results directionally favored gefapixant. This trial result should be considered inconclusive given possible issues with treatment compliance. (Clinical trial registration: NCT03654326)

Beyond adult models: Tribolium castaneum larval timekeeping reveals unexpected robustness and insights into circadian clock.

Circadian rhythms are self-sustained endogenous oscillations that are found in all living organisms. In insects, circadian rhythms control a wide variety of behavioral and physiological processes, including feeding, locomotion, mating, and metabolism. While the role of circadian rhythms in adult insects is well-understood, it is largely unexplored in larvae. This study investigates the potential for larval synchronized activity in the red flour beetle (Tribolium castaneum), a species exhibiting solitary and aggregation phases. We hypothesized that, similar to adults, larvae would exhibit a daily activity pattern governed by an endogenous circadian clock. We further predicted that the transition between the solitary and gregarious phases extends to unique temporal activity patterns. Our results revealed unique timekeeper gene expression in larvae, leading to a distinct daily rhythm characterized by nocturnal activity. Cues indicating on potential cannibalism did not change daily activity peak. However, the absence of these cues significantly reduced the proportion of rhythmic larvae and led to higher variation in peak activity, highlighting the crucial role of social interactions in shaping their rhythmicity. This study sheds light on the evolution and function of larval synchronization in group-living insects, offering novel insights into this complex behavior.

Monitoring Mosquito Abundance: Comparing an Optical Sensor with a Trapping Method.

Optical sensors have shown significant promise in offering additional data to track insect populations. This article presents a comparative study between abundance measurements obtained from a novel near-infrared optical sensor and physical traps. The optical instrument, named an Entomological Bistatic Optical Sensor System, or eBoss, is a non-destructive sensor operating in the near-infrared spectral range and designed to continuously monitor the population of flying insects. The research compares the mosquito aerial density (#/m3) obtained through the eBoss with trap counts from eight physical traps during an eight-month field study. The eBoss recorded over 302,000 insect sightings and assessed the aerial density of all airborne insects as well as male and female mosquitoes specifically with a resolution of one minute. This capability allows for monitoring population trends throughout the season as well as daily activity peaks. The results affirmed the correlation between the two methods. While optical instruments do not match traps in terms of taxonomic accuracy, the eBoss offered greater temporal resolution (one minute versus roughly three days) and statistical significance owing to its much larger sample size. These outcomes further indicate that entomological optical sensors can provide valuable complementary data to more common methods to monitor flying insect populations, such as mosquitoes or pollinators.

Ozone production sensitivity analysis for the Chengdu Plain Urban Agglomeration based on a multi-site and two-episode observation

Chengdu Plain Urban Agglomeration (CPUA) is one of the most serious areas suffering from ozone pollution in China. A comprehensive field observation focused on the ozone production rate and its sensitivity was conducted at CPUA in the summer of 2019. Six sampling sites were set and two ozone pollution episodes were recognized. The daily maximum 8-h average (MDA8) O3 concentration reached 137.9 ppbv in the urban sites during the ozone pollution episode. Peak concentration of O3 was closely related to intense solar radiation, high temperatures, and precursor emissions. The OH-HO2-RO2 radical chemistry and ozone production rate (P(O3)) were calculated using an observation-based model (OBM). The daily peak OH concentration varied in the range of 3-13 × 106 molecules cm−3, and peak HO2 and RO2 were in the range of 2–14 × 108 molecules cm−3 during ozone pollution episodes. During the ozone pollution episode, the average maximum of P(O3) in suburban sites (about 30 ppbv h-1.) was compared with urban sites, and the maximum of P(O3) was 18 ppbv h-1 in rural sites. The relative incremental reactivity (RIR) results demonstrate that it was a VOCs-limited regime in the central urban area of Chengdu, with NOx suppression effect in some regions. In the southern neighboring suburb of Chengdu, it was VOCs-limited as well. However, the northern suburban area was a transition region. In the remote rural areas of the southern CPUA, it was highly NOx-limited. Local ozone production driven by the photochemical process is crucial to the ozone pollution formation in CPUA. The geographically differentiated recognition of the ozone regime found by this study can help to tailor control strategies for local conditions and avoid the negative effects of a one-size-fits-all approach.

Long-Term Efficacy and Safety of Stapokibart in Adults with Moderate-to-Severe Atopic Dermatitis: An Open-Label Extension, Nonrandomized Clinical Trial.

Stapokibart/CM310, a humanized monoclonal antibody targeting the interleukin-4 receptor α chain, has shown promising treatment benefits in patients with moderate-to-severe atopic dermatitis in previous phase II clinical trials. We aimed to evaluate the long-term efficacy and safety of stapokibart in adults with moderate-to-severe atopic dermatitis. Enrolled patients who previously completed parent trials of stapokibart received a subcutaneous stapokibart 600-mg loading dose, then 300mg every 2weeks up to 52weeks. Efficacy outcomes included the proportions of patients with ≥50%/75%/90% improvements from baseline of parent trials in the Eczema Area and Severity Index, Investigator's Global Assessment, and weekly average of the daily Peak Pruritus Numerical Rating Scale. In total, 127 patients were enrolled, and 110 (86.6%) completed the study. At week52, the Eczema Area and Severity Index-50/75/90 response rates were 96.3%, 87.9%, and 71.0%, respectively. An Investigator's Global Assessment 0/1 with a ≥2-point reduction was achieved in 39.3% of patients at week16, increasing to 58.9% at week52. The proportions of patients with ≥3-point and ≥4-point reductions in the weekly average of daily Peak Pruritus Numerical Rating Scale scores were 80.2% and 62.2%, respectively, at week52. Improvement in patients' quality of life was sustained over a 52-week treatment period. Treatment-emergent adverse events occurred in 88.2% of patients, with an exposure-adjusted event rate of 299.2 events/100 patient-years. Coronavirus disease 2019, upper respiratory tract infection, and conjunctivitis were the most common treatment-emergent adverse events. Long-term treatment with stapokibart for 52weeks showed high efficacy and good safety profiles, supporting its use as a continuous long-term treatment option for atopic dermatitis. ClinicalTrials.gov identifier: NCT04893707 (15 May, 2021).

Effect of lignite addition on hydrogen yield from corn straw

ABSTRACT The hydrogen production by fermentation of simple corn straw is low yield, it is necessary to explore the addition of other substances to increase the hydrogen production of corn straw. Therefore, lignite was used as an additive in this study. The effects of different lignite additions on hydrogen production from corn straw and the changes of substances in the fermentation broth were studied. The results showed that the total gas production of the experimental group with 20% lignite addition was 1.63 mL/g, which was 2.07 times that of the control group without corn straw addition, and the daily hydrogen production peak of the experimental group with 20% lignite addition reached 1.19 mL/g, which was 120.37% higher than that of the control group. The addition of lignite also promoted the degradation of humic acid, benzoic acid, glucose, pyruvic acid, volatile matter and fixed carbon in the reaction system. In summary, lignite has a significant role in promoting hydrogen production from corn straw, and the experimental group with 20% lignite has the best hydrogen production from corn straw. The addition of lignite increased the carbon content in the fermentation system, improved the distribution of organic acids, promoted the consumption of organic matter and fixed carbon, and promoted hydrogen production from corn straw.

Complex and highly saturated soundscapes in restored oak woodlands reflect avian richness and abundance.

Temperate woodlands are biodiverse natural communities threatened by land use change and fire suppression. Excluding historic disturbance regimes of periodic groundfires from woodlands causes degradation, resulting from changes in the plant community and subsequent biodiversity loss. Restoration, through prescribed fire and tree thinning, can reverse biodiversity losses, however, because the diversity of woodland species spans many taxa, efficiently quantifying biodiversity can be challenging. We assessed whether soundscapes in an eastern North American woodland reflect biodiversity changes during restoration measured in a concurrent multitrophic field study. In five restored and five degraded woodland sites in Wisconsin, USA, we sampled vegetation, measured arthropod biomass, conducted bird surveys, and recorded soundscapes for five days of every 15-day period from May to August 2022. We calculated two complementary acoustic indices: Soundscape Saturation, which focuses on all acoustically active species, and Acoustic Complexity Index (ACI), which was developed to study vocalizing birds. We used generalized additive models to predict both indices based on Julian date, time of day, and level of habitat degradation. We found that restored woodlands had higher arthropod biomass, and higher richness and abundance of breeding birds. Additionally, soundscapes in restored sites had higher mean Soundscape Saturation and higher mean ACI. Restored woodland acoustic indices exhibited greater magnitudes of daily and seasonal peaks. We conclude that woodland restoration results in higher soundscape saturation and complexity, due to greater richness and abundance of vocalizing animals. This bioacoustic signature of restoration offers a promising monitoring tool for efficiently documenting differences in woodland biodiversity.

A hypothalamic circuit for circadian regulation of corticosterone secretion.

The secretion of cortisol in humans and corticosterone (Cort) in rodents follows a daily rhythm which is important in readying the individual for the daily active cycle and is impaired in chronic depression. This rhythm is orchestrated by the suprachiasmatic nucleus (SCN) which governs the activity of neurons in the paraventricular nucleus of the hypothalamus that produce the corticotropin-releasing hormone (PVHCRH neurons). The dorsomedial nucleus of the hypothalamus (DMH) serves as a crucial intermediary, being innervated by the SCN both directly and via relays in the subparaventricular zone, and projecting axons to the PVH, thereby exerting influence over the cortisol/corticosterone rhythm. However, the role and synaptic mechanisms by which DMH neurons regulate the daily rhythm of Cort secretion has not been explored. We found that either ablating or acutely inhibiting the DMH glutamatergic (DMHVglut2) neurons resulted in a 40-70% reduction in the daily peak of Cort. Deletion of the Vglut2 gene within the DMH produced a similar effect, highlighting the indispensable role of glutamatergic signaling. Chemogenetic stimulation of DMHVglut2 neurons led to an increase of Cort levels, and optogenetic activation of their terminals in the PVH in hypothalamic slices directly activated PVHCRH neurons through glutamate release (the DMHVglut2 → PVHCRH pathway). Similarly, ablating, inhibiting, or disrupting GABA transmission by DMH GABAergic (DMHVgat) neurons diminished the circadian peak of Cort, particularly under constant darkness conditions. Chemogenetic stimulation of DMHVgat neurons increased Cort, although with a lower magnitude compared to DMHVglut2 neuron stimulation, suggesting a role in disinhibiting PVHCRH neurons. Supporting this hypothesis, we found that rostral DMHVgat neurons project directly to GABAergic neurons in the caudal ventral part of the PVH and adjacent peri-PVH area (cvPVH), which directly inhibit PVHCRH neurons, and that activating the DMHVgat terminals in the cvPVH in brain slices reduced GABAergic afferent input onto the PVHCRH neurons. Finally, ablation of cvPVHVgat neurons resulted in increased Cort release at the onset of the active phase, affirming the pivotal role of the DMHVgat → cvPVHVgat → PVHCRH pathway in Cort secretion. In summary, our study delineates two parallel pathways transmitting temporal information to PVHCRH neurons, collectively orchestrating the daily surge in Cort in anticipation of the active phase. These findings are crucial to understand the neural circuits regulating Cort secretion, shedding light on the mechanisms governing this physiological process and the coordinated interplay between SCN, DMH, and PVH.

The Effect of Grass Juices on The Agricultural Properties of Legumes Grown in Different Root Media

The consumption of grass juices obtained from cereals for health purposes is increasing day by day. For this purpose, research on different plant solutions has gained momentum. In our study, barley (Hordeum vulgare L.) and oat (Avena sativa L.) grass juices grown in hydroponic conditions were used. Obtained grass juices were applied to pea and lupine seeds in 100% soil (control), 100% pumice, 100% perlite, 100% tea waste and 100% cocopeat substrate. Germination percentage, germination rate, average daily germination, peak value, germination value, root dry and fresh weight, stem dry and fresh weight, root and stem length, plant yield, grass yield, plant yield seed rate, macro and micro (N, P, K, Ca, Mg, Fe, Cu, Zn and Mn) mineral substance contents were investigated pea and lupine. Grass juices were obtained by mowing barley and oat seeds sown in 30 × 50 × 7 cm plastic tubs in ten days and passing them through a juicer. Pea and lupine 25 seeds, which were placed in each pot, were grown in different root media (100% soil, 100% cocopeat, 100% pumice, 100% perlite, and 100% tea waste) under in vitro conditions. 150 ml of water (control), barley grass juice, oat grass juice and barley + oat grass juice were applied to the seeds according to their subjects. The experiment was carried out in 400 pots with 10 replications x 2 species x 4 treatments x 5 media, according to the factorial fully randomised design. As a result of the research, germination physiology (germination percentage, germination rate, average daily germination, peak value and germination value), mineral substance content (N, P, K, Ca, Mg, Fe, Cu, Zn and Mn), growth and yield parameters at (root dry and wet weight, stem dry and wet weight, root and stem length, plant yield, grass yield, plant yield seed rate) barley grass juice application was found to be more effective than other applications after control. In all parameters examined in the research, it was determined that the five different medias used as growing media followed the order of soil>cocopeat>pumice>perlite>tea waste, and after the control and the best growing medium was cocopeat.

Effects of experimental CO2 enrichment on the PSII photochemical efficiency of Symbiodinium sp. in Acropora millepora

Enrichment of seawater with CO2 decreases the concentration of the carbonate ion while increasing that of hydrogen and bicarbonate ions. We use pulse-amplitude-modulation (PAM) fluorometry to investigate whether, in the absence of warming, and in sub-saturating light, these changes affect the PSII photochemical efficiency of _Symbiodinium_ sp. in the reef-building coral _Acropora millepora_. We assessed this experimentally with 30-min-interval saturation pulse analyses at 25 °C, a daily peak in the intensity of the photosynthetically active radiation (PAR) at ~65 µmol quanta m–2 s–1, and a seawater _p_CO2 that we gradually increased over nine days from ~496 to ~1290 μatm by injection of CO2-enriched air. Nine 14-day time series, which, except one, were recorded at the growing apices of a coral branch, revealed diel oscillations in the PSII photochemical efficiency characterized by a steep nocturnal decrease followed by a steep increase and peak in the morning, a daily minimum at midday (∆F/Fm’,midday), and a daily maximum at the onset of darkness at 19:00 h (Fv/Fm,19:00 h). An inadvertent shift in the position of one of the PAM fluorometer measuring heads revealed differences between the basal part and the growing coral apices of a coral branch in ∆F/Fm’midday and Qm. In ambient seawater (Control) _Symbiodinium_ sp. exhibited a gradual decrease, over the course of the experiment, in ∆F/Fm’,midday, Fv/Fm,19:00 h, and the slope of the linear regression between the relative electron transport rate and the intensity of PAR (rETR/PAR). Although two of three successive experiments indicated that CO2 enrichment counteracted these trends, statistical analyses failed to confirm an influence of _p_CO2 on ∆F/Fm’,midday, Fv/Fm,19:00 h, and Qm, rendering this experiment inconclusive.

Holiday Peak Load Forecasting Using Grammatical Evolution-Based Fuzzy Regression Approach

Peak load forecasting plays an important role in electric utilities. However, the daily peak load forecasting problem, especially for holidays, is fuzzy and highly nonlinear. In order to address the nonlinearity and fuzziness of the holiday load behaviors, a grammatical evolution-based fuzzy regression approach is proposed in this paper. The proposed hybrid approach is based on the theorem that fuzzy polynomial regression can model all fuzzy functions. It employs the rules of the grammatical evolution to generate fuzzy nonlinear structures in polynomial form. Then, a two-stage fuzzy regression approach is used to determine the coefficients and calculate the fitness of the fuzzy functions. An artificial bee colony algorithm is used as the evolution system to update the elements of the grammatical evolution system. The process is repeated until a fuzzy model that best fits the load data is found. After that, the developed fuzzy nonlinear model is applied to forecast holiday peak load. Considering that different holidays possess different load patterns, a separate forecaster model is built for each holiday. Test results on real load data show that an averaged absolute percent error less than 2% can be achieved, which significantly outperforms existing methods involved in the comparison.