Time Of Day Research Articles

Can nomophobia be a contemporary and novel cluster of symptoms of adult separation anxiety disorder?

Objective: The connection between adult separation anxiety disorder (ASAD) and nomophobia has been poorly investigated. The aim of this study is to evaluate whether there is a relationship between ASAD and nomophobia. Method: The sample consisted of 68 university students diagnosed with ASAD and 77 university students without ASAD. All participants were evaluated by a structured clinical interview, Adult Separation Anxiety Questionnaire (ASA), Separation Anxiety Symptom Inventory (SASI), Nomophobia Questionnaire (NMP-Q), and Smartphone Addiction Scale-Short Version (SAS-SV). Result: Participants with ASAD had longer daily phone usage times and had a higher frequency of checking the phone during the day and the rates of carrying a charger than controls. Compared to the control group, participants with ASAD had significantly higher ASA, SASI, NMP-Q, and SAS-SV scores and more severe nomophobia levels. The ASA scores were significantly positively correlated with SASI, NMP-Q, and SAS-SV. Regarding predictors of nomophobia, ASA, SASI, and SAS-SV scores had a positive and significant effect on nomophobia, and predicted nomophobia. Conclusion: Our research adds to the body of knowledge on nomophobia by demonstrating that people with ASAD are susceptible to developing nomophobia. Clinicians should be aware of the association between ASAD and nomophobia, and nomophobia may be an important concept that should be considered in the therapy approach to patients with ASAD.

Surgical outcomes following neoadjuvant chemotherapy with and without immunotherapy in patients with triple-negative breast cancer

PurposeAdding pembrolizumab to neoadjuvant chemotherapy (NAC) for triple-negative breast cancer (TNBC) improves pathologic complete response (pCR) rates and event-free survival. The impact of adding immunotherapy to NAC on surgical outcomes is unknown. This study compares 90-day post-surgical complications (PSCs) and time to adjuvant treatment among patients undergoing NAC for TNBC with and without immunotherapy.MethodsPatients treated with NAC alone or with immunotherapy (NAC-I) for stage I–III TNBC between 2018 and 2022 were retrospectively identified at a single academic institution. Kruskal–Wallis rank sum and Fisher's exact tests compared patient sociodemographic and clinical characteristics. Multivariable logistic regression determined odds ratios (OR) predicting PSCs.ResultsOf 54 patients, 29 received NAC alone and 25 received NAC-I. Compared to NAC patients, NAC-I patients had more advanced stage tumors (p = 0.038), and had slightly higher rates of mastectomy with reconstruction (p = 0.193). 72.0% of NAC-I patients experienced a pCR, compared with 44.8% of NAC patients (p = 0.193). There were 10 PSCs (34.5%) in NAC patients compared to 9 PSCs (36.0%) in NAC-I patients (p > 0.99). Regression analysis demonstrated no association of PSCs with NAC-I (OR 0.83, 95% CI 0.19–3.60). Time to adjuvant therapy was shorter for NAC-I patients (28 days vs 36 days, p = 0.013).ConclusionsPatients with TNBC receiving NAC-I have higher pCR rates and do not appear to have added 90-day PSCs or delays to adjuvant therapy despite trending toward more extensive surgical procedures compared to NAC alone. Larger studies are needed to further evaluate the surgical safety of immunotherapy.

Intraday Variations in Skin Water Parameters

Introduction: Three interrelated skin water assessments include stratum corneum hydration (SCH) via electrical measurements, skin water using tissue dielectric constant (TDC) measurements and transepidermal water loss (TEWL). These are differentially used for skin physiology research, clinical assessments of dermatological conditions and to assess skin water in diabetes and lymphedema. Often volar forearm skin is used for assessments done at various times of day (TOD). The present goal was to assess the extent of intraday variability in SCH, TDC and TEWL. Methods: Twelve medical students self-measured SCH, TDC and TEWL on their forearm every two hours from 0800 to 2400 hours on two consecutive days. All participants were well-trained and pre-certified in all procedures. Tests for parameter differences among TOD were via the nonparametric Friedman test. Results: No significant differences in SCH or TEWL were found among TOD over the 16-hour interval for either day or combined. Contrastingly TDC decreased slightly but significantly from morning through evening. There was no evidence of a diurnal pattern. Interestingly, a significant nonlinear relationship between TEWL and SCH was detected. Conclusion: Findings indicate only minor intra-day variations with TOD trend except for TDC that decreases slightly from morning through evening. The clinical relevance relates to the confidence now gained associated with the parameter estimates when measured at different TOD during normal clinic hours or beyond. This should help in estimating the potential importance of small differences if measured at a different TOD. From a physiological viewpoint, the findings uncover and describe an interesting nonlinear relationship between TEWL and SCH which may serve to propel further investigations that might better characterize this process.

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling

Tensor clustering has become an important topic, specifically in spatiotemporal modeling, because of its ability to cluster spatial modes (e.g., stations or road segments) and temporal modes (e.g., time of day or day of the week). Our motivating example is from subway passenger flow modeling, where similarities between stations are commonly found. However, the challenges lie in the innate high-dimensionality of tensors and also the potential existence of anomalies. This is because the three tasks, that is, dimension reduction, clustering, and anomaly decomposition, are intercorrelated with each other, and treating them in a separate manner will render a suboptimal performance. Thus, in this work, we design a tensor-based subspace clustering and anomaly decomposition technique for simultaneous outlier-robust dimension reduction and clustering for high-dimensional tensors. To achieve this, a novel low-rank robust subspace clustering decomposition model is proposed by combining Tucker decomposition, sparse anomaly decomposition, and subspace clustering. An effective algorithm based on Block Coordinate Descent is proposed to update the parameters. Prudent experiments prove the effectiveness of the proposed framework via the simulation study, with a gain of +25% clustering accuracy over benchmark methods in a hard case. The interrelations of the three tasks are also analyzed via ablation studies, validating the interrelation assumption. Moreover, a case study in station clustering based on real passenger flow data is conducted, with quite valuable insights discovered. History: Bianca Maria Colosimo served as the senior editor for this article. Funding: Dr. Yan is partially funded by DOE [DE-EE0009354] and NSF [CMMI 2316654]. Dr. Fugee is partially funded with the RGC [GRF 16201718 and 16216119]. The authors appreciate the help from the Hong Kong MTR Co. research, marketing, and customer service teams. Data Ethics & Reproducibility Note: The code capsule is available on Code Ocean at https://codeocean.com/capsule/6536164/tree and in the e-Companion to this article (available at https://doi.org/10.1287/ijds.2022.0028 ).

An optimal demand side management for microgrid cost minimization considering renewables

AbstractIn an ordinary microgrid configuration, the required load changes from hour to hour. The power system firms determine the cost of energy at different times of day by considering the highest and lowest points of the consumption curve. This is referred to as time‐of‐use (TOU) pricing for power. The hourly basis load demand is divided into flexible and inflexible categories. Demand side management (DSM) lowers peak demand while rewarding customers for their participation based on load lowering. His rebuilds the whole load model on the pillars of demand cost movement. The research recommends a DSM methodology based on a combined intellect method to lower the total cost of employing loads in a microgrid (MG) structure while considering carbon tax as an unavoidable constraint to lower the emission of pollutants. This is because 40% of microgrid customers are willing to participate in the DSM scheme. The results obtained in each illustration demonstrate that the suggested DSM technique is suitable in terms of cost reduction. The generating cost was decreased from $15,488 to $15,354 when 0%–40% of clients engaged in the DSM programme. With just a 3% compromised increase in generation costs, a carbon price combined with economic emission dispatch reduced the pollutants emitted by up to 78%, from 70 to 15 tons.

Rapid prey switching of juvenile snapper (Chrysophrys auratus) in response to fluctuating visibility

ABSTRACT This study investigates the feeding behaviour of juvenile (0+) snapper (Chrysophrys auratus) in an estuarine nursery habitat. Underwater video footage recorded across a range of tidal states and times of day revealed a shift in foraging mode that was strongly related to water clarity. Fish exclusively ate benthic prey when horizontal water visibility was <4 m, but plankton dominated their diet in clearer water. The percentage of plankton in the diet also decreased later in the day, and on the outgoing tide. To our knowledge, this is the first documented evidence of daily prey-switching behaviour in wild juvenile snapper in New Zealand. Our findings highlight the adaptive foraging strategies of juvenile snapper as well as the potential ecological impacts resulting from anthropogenic alterations in water quality, which likely affect many marine species.

Exceptional improvement in chronic stroke through Guided Self-rehabilitation Contract: a case report study

A 44-year-old woman suffered a carotid dissection causing a deep and superficial right middle cerebral artery stroke in October 2013, despite undergoing thrombolysis and thrombectomy. Sixteen months later, massive left upper extremity impairment persisted. She then agreed to embark upon a guided self-rehabilitation contract (GSC). This GSC is a moral contract where the physician or therapist identifies specific muscles, particularly hypo-extensible and disabling that act as antagonists to functional activities. The physician or therapist then teaches and prescribes quantified daily high-load self-stretch postures for these muscles, alternating with repeated maximal amplitude movement exercises against their resistance. In turn, the patient commits to practicing the prescribed program and to delivering a diary of the stretch postures and alternating movement exercises performed each day. Over 4 years of GSC, the patient practiced upon prescription against a total of seven upper limb antagonists to common functional movements: shoulder extensors, shoulder internal rotators, elbow flexors, elbow pronators, wrist and finger flexors, and interossei muscles. She manually filled up her diary 99% of the days. Each day, she practiced an average of 20 min of high-load static self-stretch per muscle, alternating with about 50 maximal active efforts against the resistance of each targeted muscle's resistance. Overall, her mean static self-stretch time was 81 ± 2 (mean ± SEM) min/day, and her mean number of active maximal efforts was 285 ± 78/day, for a total daily self-rehabilitation time of over 2 h a day. Five years after her stroke, she had recovered all left upper extremity use in daily activities and resumed her previous job as a nurse's aide. She now spontaneously uses her left hand in most tasks. Functional MRI (March 2020) demonstrated bilateral primary motor and motor supplementary area activation upon left-hand exercise. Prolonged static self-stretch increased muscle extensibility (muscle plasticity) while maximal amplitude, alternating movement training reduced co-contraction in these muscles (neural plasticity). The Modified Frenchay Scale assessment was video-recorded by the clinician at each visit, allowing qualitative and quantitative evaluation of the functional capacities. The two videos of the first and last clinic visits have been uploaded and are available.

The Beginning of Time

The present analysis focuses on the material component of time, the devices used for measuring and counting it. The biological basis for subjective, experiential time is first reviewed, as are early strategies found cross-culturally for measuring and counting time objectively. These strategies include timekeeping by natural phenomena, using tallies to keep track of small periods of time, harnessing shadows for daily and annual time, and visualizing time with clocks and calendars. The conclusion then examines how such timekeeping devices might influence the conceptualization of time.

Cognitive and motor improvement by tummy time practice in preemies from low-income settings: a randomized clinical trial

IntroductionEarly intervention and parental education for preemies are limited in some low-income countries. Thus, this study aimed to assess whether daily tummy time (TT) associated with usual care (UC) enhances motor and cognitive development in preemies from low-income countries. The main and secondary aim was to assess prone head elevation (PHE) and motor and cognitive functions, respectively.MethodsThirty-one preemies with a mean gestational age at birth of 33.3 ± 1.6 weeks and weighing &amp;lt;2,500 g were included and 18 completed all assessments. Parents from the TT group were asked to perform TT with their preemies for at least 20 min during daily activities and playtime. Motor and cognitive functions were assessed by a blinded examiner using the motor and cognitive composite scores of Bayley-III after two and four months of corrected age. PHE was given by the angle from the tragus of the ear to the supporting surface of the infant; measurements were obtained using the Kinovea® software at baseline, after two, three, and four months of corrected age.ResultsThe Bayley-III motor composite score of the TT group was higher than the UC group after two and four months of corrected age. The PHE angle increased over time but did not differ between groups.DiscussionNevertheless, TT expanded the perspective of preemies to explore their bodies and environment, favoring the stimuli for motor and cognitive patterns. The loss of participants (31%) was one of the limitations of the study, illustrating the challenge of providing continued early interventions to preemies from low-income countries. In this sense, TT practice is a home intervention that may improve motor and cognitive function of preemies immediately after hospital discharge.

Early postseismic slip of the 21 November 2022 Mw 5.6 Cianjur, Indonesia, earthquake based on GPS measurements

ABSTRACT Global Positioning System (GPS) data after the 21 November 2022 Mw 5.6 Cianjur earthquake are crucial for understanding the physical processes during the postseismic phase. New continuous GPS stations were installed and recorded data for periods ranging from five to twenty-five days after the mainshock. The daily time series data at GPS stations shows an evolving logarithmic decay over time, as expected due to frictional afterslip. We inverted the postseismic displacement data to solve the postseismic slip distribution, utilising Akaike’s Bayesian information criterion. A cumulative aseismic slip moment of 1.54 × 1016 N·m, equivalent to Mw 4.7, is modelled during the period from five to twenty-five days after the mainshock. This aseismic slip moment is equivalent to approximately 7% of the seismic moment during the mainshock. Our analysis on the newly identified active fault using GPS displacements highlights the imperative need to identify active faults prior to future earthquake occurrences, especially when conducting hazard mitigation in populated regions in Indonesia.

Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS). A multicenter analysis including all cases of PAS identified by pathology specimen confirmation, across five tertiary care perinatal centers in New York City from 2013 to 2022. We developed models to predict operative morbidity using 213 variables including demographics, obstetrical information, and limited prenatal imaging findings detailing placental location. Our primary outcome was prediction of a surgical morbidity composite defined as including any of the following: blood loss (>1,500 mL), transfusion, intensive care unit admission, vasopressor use, mechanical ventilation/intubation, and organ injury. A nested, stratified, cross-validation approach was used to tune model hyperparameters and estimate generalizability. Gradient boosted tree classifier models incorporated preprocessing steps of standard scaling for numerical variables and one-hot encoding for categorical variables. Model performance was evaluated using area under the receiver operating characteristic curve (AUC), positive and negative predictive values (PPV, NPV), and F1 score. Variable importance ranking was also determined. Among 401 PAS cases, 326 (81%) underwent hysterectomy. Of the 401 cases of PAS, 309 (77%) had at least one event defined as surgical morbidity. Our predictive model had an AUC of 0.79 (95% confidence interval: 0.69, 0.89), PPV 0.79, NPV 0.76, and F1 score of 0.88. The variables most predictive of surgical morbidity were completion of a hysterectomy, prepregnancy body mass index (BMI), absence of a second trimester ultrasound, socioeconomic status zip code, BMI at delivery, number of prenatal visits, and delivery time of day. By identifying social and obstetrical characteristics that increase patients' risk, ML models are useful in predicting PAS-related surgical morbidity. Utilizing ML could serve as a foundation for risk and complexity stratification in cases of PAS to optimize surgical planning. · ML models are useful models are useful in predicting PAS-related surgical morbidity.. · Optimal management for PAS remains unclear.. · Utilizing ML can serve as a foundation for risk and complexity stratification in cases of PAS..

Multi-model hydrological reference dataset over continental Europe and an African basin

Although Essential Climate Variables (ECVs) have been widely adopted as important metrics for guiding scientific and policy decisions, the Earth Observation (EO) and Land Surface and Hydrologic Model (LSM/HM) communities have yet to treat terrestrial ECVs in an integrated manner. To develop consistent terrestrial ECVs at regional and continental scales, greater collaboration between EO and LSM/HM communities is needed. An essential first step is assessing the LSM/HM simulation uncertainty. To that end, we introduce a new hydrological reference dataset that comprises a range of 19 existing LSM/HM simulations that represent the current state-of-the-art of our LSM/HMs. Simulations are provided on a daily time step, covering Europe, notably the Rhine and Po river basins, alongside the Tugela river basin in Africa, and are uniformly formatted to allow comparisons across simulations. Furthermore, simulations are comprehensively validated with discharge, evapotranspiration, soil moisture and total water storage anomaly observations. Our dataset provides valuable information to support policy development and serves as a benchmark for generating consistent terrestrial ECVs through the integration of EO products.

Photoperiod, food restriction and memory for objects and places in mice

The suprachiasmatic nucleus (SCN) contains a population of cell-autonomous circadian oscillators essential for entrainment to daily light–dark (LD) cycles. Synchrony among SCN oscillators is modified by photoperiod and determines functional properties of SCN clock cycling, including its amplitude, phase angle of entrainment, and free running periodicity (τ). For many species, encoding of daylength in SCN output is critical for seasonal regulation of metabolism and reproduction. C57BL/6 mice do not show seasonality in these functions, yet do show photoperiodic modulation of SCN clock output. The significance of this for brain systems and functions downstream from the SCN in these species is largely unexplored. C57BL/6 mice housed in a long-day photoperiod have been reported to perform better on tests of object, spatial and fear memory compared to mice in a standard 12 h photoperiod. We previously reported that encoding of photoperiod in SCN output, evident in τ in constant dark (DD), can be blocked by limiting food access to a 4 h mealtime in the light period. To determine whether this might also block the effect of long days on memory, mice entrained to 18 h:6 h (L18) or 6 h:18 h (L6) LD cycles were tested for 24 h object memory (novel object preference, NOP) and spatial working memory (Y-maze spontaneous alternation, SA), at 4 times of day, first with food available ad libitum and then during weeks 5–8 of daytime restricted feeding. Photoperiod modified τ as expected, but did not affect performance on the NOP and SA tests, either before or during restricted feeding. NOP performance did improve in the restricted feeding condition in both photoperiods, eliminating a weak time of day effect evident with food available ad-libitum. These results highlight benefits of restricted feeding on cognitive function, and suggest a dose–response relationship between photoperiod and memory, with no benefits at daylengths up to 18 h.

Continuous Video Monitoring of Zoo Cheetahs (Acinonyx jubatus jubatus) Reveals Differential Engagement Patterns for Environmental Enrichment Items Based on Sensory Category

Strategically enriching the environment of zoo felids to encourage innate behaviors is essential to good welfare. To investigate how engagement differs among sensory-based enrichment, six items representing tactile (firehose log, Jolly Eggs), visual (mirror, movie), and olfactory (cinnamon, cologne) sensory categories were offered to three adult cheetah siblings. Each item was offered four times: twice during daytime hours and twice overnight (≥5 h/occasion). Static video monitoring was used to investigate engagement frequency and duration for each item and to observe grooming behaviors. Cheetahs engaged with visual enrichment more frequently (p &lt; 0.05) and for greater (p &lt; 0.05) periods than other items. Allogrooming occurred most frequently (p &lt; 0.05) when the movie was provisioned at night. Tactile enrichment was only modestly engaged, with fewer but longer engagements (p &lt; 0.05) at nighttime than at daytime. Autogrooming frequency did not vary among enrichment items but was greater (p &lt; 0.05) at night than day. These findings showed that zoo cheetah responses to sensory enrichment items differed based on type and time of day. Visual stimuli were favored, whereas olfactory stimuli were generally ignored. This illustrates the benefit of diverse sensory-specific enrichment strategies. Such dynamic strategies can help overcome the challenge of individual preferences to encourage engagement reflective of the animal’s natural behaviors.

Abstract PR-12: The circadian rhythm gene Dec2 regulates multiple components of the antigen presentation pathway to promote pancreatic cancer dormancy by immune evasion

Abstract Metastatic recurrence following curative-intent pancreatic surgery is a major clinical problem as nearly all die of this at both early and latent periods following surgery. While latent recurrences are due to the reactivation of disseminated dormant tumor cells, the mechanisms that regulate dormancy remain unclear. Using a novel model of early-stage resectable pancreatic cancer that mimics early and latent outcomes in patients, we identified Dec2 (bhlh41) a transcriptional repressor and circadian regulator, as upregulated in dormant tumor cells harvested from the liver. Disseminated tumor cells harvest from the livers of latent recurrent mice were Dec2 hi/Ki67lo indicating that these cells are dormant. We confirmed the relationship of Dec2 and Ki67 in human pancreatic cancer using liver tissue specimens from patients with metastatic disease whereby small clusters of metastatic cells were Dec2hi/Ki67lo and larger metastatic tumors were Dec2lo/Ki67hi. To understand the mechanism of Dec2 in dormancy we deleted Dec2 from the tumor cells evaluated them in the resection model and observed a substantial increase in survival after resection due to an immune mediated mechanism as the survival benefit was abrogated in immunodeficient conditions indicating that Dec2 promotes tumor progression through immune mediated mechanism. Dec2 promotes immune evasion by downregulating multiple components of the antigen presentation pathway including proteosome and immunoproteosome genes, MHCI and MHCI chaperones. As Dec2 is a circadian regulator, we evaluated several components of the antigen presentation pathway including proteosome and surface MHCI and found these to display oscillation that was not only anti-phase with Dec2 but resulted in differential T-cell mediated tumor cell killing depending on the time of day. These studies elucidate a new mechanism by which Dec2 regulates cancer dormancy through immune evasion and identifies several novel therapeutic strategies to restore anti-tumor immunity. They also provide the first evidence that antigen presentation is under circadian regulation in pancreatic cancer. Citation Format: Chris Harris, Crissy Dudgeon, Lan Wang, Orjola Prela, Juliana Cazarin de Menezes, Brian Altman, Brian Haab, Chongfeng Gao, Zachary Klamer, Anna Repesh, Subhajyoti De, Darren R Carpizo. The circadian rhythm gene Dec2 regulates multiple components of the antigen presentation pathway to promote pancreatic cancer dormancy by immune evasion [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr PR-12.

대학생의 5성격유형, 불안, 우울이 회복탄력성에 미치는 영향 요인

Objectives The purpose of this study is to understand the Big 5 personality factor in individual factors and anxiety and depression in psychological factor on resilience of university students. Methods Data were collected throughs self-report questionnaires between November 17 and to December 22. Participants were comprised of a convenience sample of 198 college students. Collected data were analyzed by frequency and percentage, mean and standard deviation, t-test, ANOVA, Pearson's correlation, and Multiple regression by SPSS/WIN 25.0. Results The resilience of research subjects was higher than the moderate level, and in the score of each area, the optimism and perseverance were the highest. Resilience according to general characteristics showed statistically significant differences depending on gender, satisfaction with major, club activities, regular exercise, perceived physical health, perceived mental health, Daily internet use time and Daily smartphone use time. Agreeableness and Resilience had negative correlations between Openness, anxiety, depression and Resilience. The Openness, satisfaction with major, Agreeableness, Conscientiousness, perceived physical health, perceived mental health, depression and Neuroticism had effects on Resilience. Conclusions In order to increase the resilience of college students it would be necessary to enhance the manage in physical, mental health it would be necessary to enhance the Satisfaction in major, improve the Openness, Agreeableness, Conscientiousness. In order to improve these factors, intervention in individual counseling programs that take personality factors into account will also be necessary.

Diurnal, and seasonal dynamics in essential oil content and composition of cultivated Helichrysum italicum (Roth) G. Don

Helichrysum italicum from the Asteraceae family is a small odorous shrub that is distributed in the Mediterranean region different altitudes. However, the species was not naturally found in the flora of Türkiye. Cultivation interest in H. italicum has grownsince its cosmetic and pharmaceutical usage. In the present study, H. italicum plants (seedlings were obtained from the same source) were cultivated in Hatay (Mediterranean, 149 m altitude) and Uşak (Continental, 906 m altitude) cities of Türkiye. Harvestings were done in the spring and autumn, at three different hours of the day (09.00, 13.00, and 18.00) in both locations. Soil samples were analyzed to determine some soil properties in both locations. Harvested aerial plant samples were evaluated for essential oil content and composition with three replicates. The experimental field soils' pH values were similar, however there were differences in the ratio of soil lime and macro-microelements. The essential oil content varied between 0.29 and 0.59% in all examined variables. Generally, neryl acetate and α-pinene were found as a main component in all essential oils. Neryl acetate contents ranged between 8.07 and 36.66%, while α-pinene content was found between 13.93 and 31.18%. In the spring harvest, harvesting in the evening produced higher neryl acetate in the continental environment, whereas harvesting at any time of day did not affect the amount of neryl acetate in the Mediterranean climate. In the autumn harvest in the Mediterranean environment, the neryl acetate content was higher in the morning harvest, while neryl acetate content in autumn was comparatively low in the continental climate. Examining the seasons has shown that, in a Mediterranean environment, harvest time is not very significant, but in a continental climate, spring harvest could be favored.

Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging

This study proposes a two-step probabilistic post-processing approach that combines different machine learning-based postprocessors through the Copula-Embedded Bayesian Model Averaging (COP-BMA) method to improve the performance of a hydrological model for streamflow predictions. The proposed approach serves a two-fold purpose: firstly, it aims to enhance the accuracy of streamflow predictions, and secondly, it provides probabilistic results that implicitly address the structural uncertainty inherent in different postprocessing methods. We validate our approach by applying it to the Conceptual Functional Equivalent, a lumped hydrologic model utilized for simulating extreme floods during Hurricane Harvey. The validation is conducted across twelve distinct watersheds in the Southeast Texas region at both daily and monthly scales. The findings indicate that the proposed framework significantly enhances the performance of the hydrologic model across the studied watershed. Specifically, on a daily time scale, there is a 23% and 53% improvement in the NSE and KGE respectively, while on a monthly time scale, the framework enhances NSE by 21% and KGE by 25%. Additionally, the MAE (cms) was notably reduced from 4.64 to 2.23 on the daily scale, and from 2.8 to 1.65 on the monthly scale.

Time of day of infection shapes development of a eukaryotic algal-Nucleocytoviricota virocell.

Aureococcus anophagefferens forms a model host-virus system with the "giant virus" Kratosvirus quantuckense. Studies to define its ribocell (uninfected) and virocell (virus-infected) forms are needed as these states co-occur during algal blooms. Previously, a link between light-derived energy, virus particle production and virocell formation was noted. We explored how the time of day (morning, midday, or late day) of virus-host contact shaped virocell ontogeny. In parallel, we explored the dependence on light-derived energy in this mixotrophic plankter by inhibiting photosystem II, testing the role of heterotrophic energy in infection dynamics. Using flow cytometry and photochemical assessments, we examined the physiology of infected cells and controls, and estimated virus particle production. We observed differences between ribocell and virocell response to treatments, including reductions in virus particle production during reduced light (i.e., duration) and PSII inhibition (i.e., "forced heterotrophy") . This work demonstrates the importance of light in shaping the fate of infected cells and provides insight into factors that constrain in situ blooms. Most significantly, we show that time of the solar day when a virus and host come into contact influences viral particle production, and therefore bloom dynamics; a factor that needs to be considered in bloom modeling work.

P-tau217 and other blood biomarkers of dementia: variation with time of day

Plasma biomarkers of dementia, including phosphorylated tau (p-tau217), offer promise as tools for diagnosis, stratification for clinical trials, monitoring disease progression, and assessing the success of interventions in those living with Alzheimer’s disease. However, currently, it is unknown whether these dementia biomarker levels vary with the time of day, which could have implications for their clinical value. In two protocols, we studied 38 participants (70.8 ± 7.6 years; mean ± SD) in a 27-h laboratory protocol with either two samples taken 12 h apart or 3-hourly blood sampling for 24 h in the presence of a sleep–wake cycle. The study population comprised people living with mild Alzheimer’s disease (PLWA, n = 8), partners/caregivers of PLWA (n = 6) and cognitively intact older adults (n = 24). Single-molecule array technology was used to measure phosphorylated tau (p-tau217) (ALZpath), amyloid-beta 40 (Aβ40), amyloid-beta 42 (Aβ42), glial fibrillary acidic protein, and neurofilament light (NfL) (Neuro 4-Plex E). Analysis with a linear mixed model (SAS, PROC MIXED) revealed a significant effect of time of day for p-tau217, Aβ40, Aβ42, and NfL, and a significant effect of participant group for p-tau217. For p-tau217, the lowest levels were observed in the morning upon waking and the highest values in the afternoon/early evening. The magnitude of the diurnal variation for p-tau217 was similar to the reported increase in p-tau217 over one year in amyloid-β-positive mild cognitively impaired people. Currently, the factors driving this diurnal variation are unknown and could be related to sleep, circadian mechanisms, activity, posture, or meals. Overall, this work implies that the time of day of sample collection may be relevant in the implementation and interpretation of plasma biomarkers in dementia research and care.