Temporal Differences Research Articles

Differences in Time of Birth between Spontaneous and Operative Vaginal Births.

Previous studies have identified an association between obstetric interventions and the time of day in which they are performed; however, they do not account for granular variations in the temporality of delivery interventions, which is influenced by both health care providers and resource availability. We sought to assess differences in time of birth among spontaneous vaginal births (SVBs) versus operative (forceps- and vacuum-assisted) vaginal births (OVBs). This cross-sectional study used birth certificate data from the National Vital Statistics System from 2016 to 2021, which includes the time of birth and delivery method for recorded U.S. births. The number of SVBs and OVBs at each minute was normalized relative to the total births within each delivery group to facilitate balanced comparisons between groups. Logistic regression analysis assessed the odds of OVBs per time of day. A total of 15,412,129 subjects who underwent vaginal birth were included in this analysis, 690,905 (4.5%) of whom underwent OVBs. Compared to births at other time intervals, those between 4:30 and 7:30 p.m. were more likely to be OVBs (odds ratio [OR] = 1.13, 95% confidence interval [CI]: 1.12-1.14). Conversely, births between 3:00 and 6:00 a.m. were less likely to be OVBs (OR = 0.87, 95% CI: 0.86-0.88). After adjusting for adjusting for maternal age, gestational age, and induction of labor, births between 4:30 and 7:30 p.m. remained more likely to be OVBs (adjusted odds ratio [aOR] = 1.09, 95% CI: 1.08-1.10) and births between 3:00 and 6:00 a.m. remained less likely to be OVBs (aOR = 0.91, 95% CI: 0.90-0.92). In this population-based study, we identified temporal differences between SVBs and OVBs with increased use of instrumentation during the late afternoon and reduced use in the early morning. These findings prompt further investigation into the indications for OVBs and root causes of these temporal variations, which are likely multifactorial and involve provider and resource availability. · This study identifies temporal differences between SVBs and OVBs.. · Compared to SVBs, operative births are more likely in the late afternoon.. · OVBs are also less likely in the early morning.. · These temporal trends suggest the influence of provider and resource availability..

Assessing the validity of METS-IR for predicting the future onset of diabetes: an analysis using time-dependent receiver operating characteristics

BackgroundThe Metabolic Insulin Resistance Score (METS-IR) is a non-invasive proxy for insulin resistance (IR) that has been newly developed in recent years and has been shown to be associated with diabetes risk. Our aim was to assess the predictive value of METS-IR for the future development of diabetes and its temporal differences in people of different sex, age, and body mass index (BMI).MethodsThe current study included 15,453 baseline non-diabetic subjects in the NAGALA cohort and then grouped according to the World Health Organization’s (WHO) recommended criteria for age and BMI. Multivariate Cox regression and time-dependent receiver operator characteristics (ROC) curves were used to analyze the value of METS-IR in assessing and predicting the risk of diabetes in people of different sexes, ages, and BMIs.Results373 individuals developed diabetes during the observation period. By multivariate COX regression analysis, the development of future diabetes was significantly associated with increased METS-IR, and this positive association was stronger in women than in men and in individuals < 45 years than in individuals ≥ 45 years; while no significant differences were observed between non-obese and overweight/obesity individuals. Using time-dependent ROC analysis we also assessed the predictive value of METS-IR for future diabetes at a total of 11-time points between 2 and 12 years. The results showed that METS-IR had a higher predictive value for the future development of diabetes in women or individuals < 45 years of age compared to men or individuals ≥ 45 years of age for almost the entire follow-up period. Furthermore, across different BMI categories, we also found that in the short term (3–5 years), METS-IR had a higher predictive value for the development of diabetes in individuals with overweight/obesity, while in the medium to long term (6–12 years), METS-IR was more accurate in predicting the development of diabetes in non-obese individuals.ConclusionsOur study showed that METS-IR was independently associated with the development of future diabetes in a non-diabetic population. METS-IR was a good predictor of diabetes, especially for women and individuals < 45 years old for predicting the future risk of developing diabetes at all times.

Sex differences in elite track and field performances and inferences about steroid doping.

Females likely experience larger performance benefits from androgenic-anabolic steroids than males. We set out to determine if there were temporal differences in select athletics (track and field) records between females and males. Exploratory aims included: (1) evaluating the improvements in female and male world records over time, and (2) investigating the influence of doping programs on male and female world records before and after 1990, when sports governing bodies began to implement random out-of-competition and systematic in-competition drug testing. We collected the top 500 performances of all time for both sexes from an online database (worldathletics.org) in four running events (100, 200, 400 and 800m) and two throwing events (discus throw and shot-put). Data were stratified into quintiles based on world record ranking (1st to 100th, 101st to 200th, etc.). The temporal distribution of the top 100 female performers was significantly earlier than the top 100 male performers (year: 2000±1 vs. 2005±1, respectively; P<0.0001). Within the event, the top performances occurred significantly earlier for females in the 800m (year: 1995±15 vs. 2003±12; P=0.0007) and shot-put (year: 1992±14 vs. 2003±17; P=0.0004). Among females, world records rapidly improved through the 1980s, but following 1990, the world records ceased to improve. Geographically, there was a greater representation of countries with state-sponsored doping programs, specifically among female performances. We postulate these sex differences in the temporal distribution of top performances are likely associated with enhanced effectiveness of exogenous androgens (steroid doping) among female athletes with lower endogenous androgen hormones compared to males.

Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19.

Scalable identification of patients with post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms, which has led to suboptimal accuracy, demographic biases, and underestimation of the PASC. In a retrospective case-control study, we developed a precision phenotyping algorithm for identifying cohorts of patients with PASC. We used longitudinal electronic health records data from over 295,000 patients from 14 hospitals and 20 community health centers in Massachusetts. The algorithm employs an attention mechanism to simultaneously exclude sequelae that prior conditions can explain and include infection-associated chronic conditions. We performed independent chart reviews to tune and validate the algorithm. The PASC phenotyping algorithm improves precision and prevalence estimation and reduces bias in identifying PASC cohorts compared to the ICD-10-CM code U09.9. The algorithm identified a cohort of over 24,000 patients with 79.9% precision. Our estimated prevalence of PASC was 22.8%, which is close to the national estimates for the region. We also provide in-depth analyses, encompassing identified lingering effects by organ, comorbidity profiles, and temporal differences in the risk of PASC. PASC precision phenotyping boasts superior precision and prevalence estimation while exhibiting less bias in identifying patients with PASC. The cohort derived from this algorithm will serve as a springboard for delving into the genetic, metabolomic, and clinical intricacies of PASC, surmounting the constraints of prior PASC cohort studies. This research was funded by the US National Institute of Allergy and Infectious Diseases (NIAID).

Exploring common bean's defense arsenal: Genome-wide characterization of PR-1 gene family and its transcriptional response to Colletotrichum lindemuthianum inoculation

Pathogenesis-related Protein 1 (PR-1) plays a crucial role in plant defense responses, particularly against fungal pathogens. Despite its significance, comprehensive studies characterizing this gene family in the common bean (Phaseolus vulgaris) are currently lacking. Therefore, the objective of this study was to conduct genomic mining and characterization of the PR-1 in common bean (PvPR-1) genome. Additionally, we assessed the transcriptional expression of all its isoforms in response to inoculation with the fungus Colletotrichum lindemuthianum. This evaluation was performed on leaf tissue samples obtained from both sensitive (Rosinha) and resistant (Africano 4) common bean varieties at 24-, 48-, and 96-hours post inoculation. Thirteen PvPR-1 genes were consistently identified, forming two major clusters across the clustering analyses. Physicochemical characterization indicated that the PvPR-1 proteins are predominantly basic, hydrophilic, and extracellularly localized. Moreover, their promoter regions contain putative cis-regulatory elements that respond to a broad spectrum of plant hormones, including jasmonic acid, gibberellin, and ethylene, which are key regulators of both biotic and abiotic stress responses. This discovery implies a multifaceted role for the studied proteins in common bean physiology. KEGG pathway analysis implicated PvPR-1 proteins in hormonal signaling (corroborating the anchored cis-regulatory elements) and plant-pathogen interaction networks. Secondary structure evaluation revealed the predominance of α-helices and coiled structures within these proteins. Subsequent 3D modeling demonstrated a conserved ‘α-β-α’ sandwich architecture characterized by a central cavity. This structural motif suggests potential functional versatility, particularly in pathogen recognition and responses. Additionally, the study provided insight into the potential interactions of PvPR-1 with Chitinase II (PR-3) and Rab-18, as suggested by the STRING platform. Temporal differences in PvPR-1 gene expression were observed between the common bean contrasting varieties following C. lindemuthianum inoculation. Africano-4, the resistant one, showed a higher abundance of up-regulated and constitutively expressed PvPR-1 transcripts compared to its sensitive counterpart (Rosinha), indicating a more effective role of this gene family against the pathogen. Furthermore, based on PCA analyses and interaction networks of differentially expressed genes, three key targets within the PvPR-1 family (PvPR-1-4, PvPR-1-5, and PvPR-1-10) emerged as promising candidates for future functional characterization. These molecular actors displayed differential transcriptional patterns between the studied varieties without compromising the transcript abundance of PvPR-1 protein synthesis in the resistant one. Consequently, they may represent key components of resistance mechanisms that contribute to the differentiation between the two organisms. These findings deepen our understanding of PvPR-1 genes and their roles in common bean defense responses. They also emphasized the potential of PvPR-1 genes as candidates for breeding stress-resistant common bean varieties, which are crucial for bolstering crop resilience to environmental adversities.

Temporal Study of Environmental DNA and Acoustic Data Reveals Coexistence of Sympatric Bat Species in a North American Ecosystem

ABSTRACTBats are a species‐rich mammalian order that provide a host of ecosystem services, but presently face threats from habitat loss, disease, climate change, and insect declines. Bat species often co‐occur with other ecologically similar bats, making them a suitable group in which to study niche overlap and partitioning. This study aimed to compare different non‐invasive sources of data on wildlife populations, while examining dietary, temporal, and spatial partitioning patterns among sympatric bat species. We used two different methods to assess niche partitioning among insectivorous bats at a site in the San Francisco Bay Area, California: (1) eDNA sequencing of bat feces that were collected weekly from a bat roost, and (2) nightly acoustic recordings of ultrasonic bat calls from recorders at multiple sites. Both the eDNA and acoustic data were collected over the course of an entire roosting season in 2020. We hypothesized that the insectivorous bats at this site would rely on one or more niche partitioning mechanisms to promote interspecific coexistence and limit competition. We found evidence of fine‐scale spatial partitioning of the broad community of bat species in our study area based on acoustic data, as well as temporal differences in activity of different species. The two species using the roosting site, Tadarida brasiliensis and Eptesicus fuscus, displayed some differences in the identities and relative abundances of prey species consumed, but both ultimately exhibited a strong reliance on dipterans and aquatic‐dependent insects. We demonstrate differences between the acoustic data and eDNA data, which has implications for how such datasets may be interpreted in future research. The study finds evidence of some types of niche partitioning in this community and characterizes baseline interactions between species, providing a foundation for future efforts to non‐invasively monitor for unexpected biological change in local ecosystems.

Mesozoic lithospheric mantle evolution in South China: Evidence from Ar-Ar dating, geochemistry and Sr-Nd-Pb isotopes of lamprophyres

Understanding the Mesozoic lithospheric mantle beneath South China is challenging, primarily because mantle-derived magmatic rocks are rare, whereas granitic magmatism is far more abundant. In this study, we present new 40Ar/39Ar geochronology, major and trace elemental composition, and Sr-Nd-Pb isotopic data for lamprophyres from northern and central Guangxi Province, South China. Our results reveal two intrusion phases: an earlier phase at 207.7 ± 1.2 Ma, and a later phase between 95.6 ± 0.6 Ma and 102.3 ± 0.7 Ma. The earlier phase, represented by the Danyang lamprophyres, is marked by low Cr (330–355 ppm) and Ni (241–258 ppm) contents and strongly fractionated REE patterns with (La/Yb)n ratios of 57.5 to 62.8. The later phase, represented by the Leidong, Nongchang, and Longchang lamprophyres, shows higher Cr (490–781 ppm) and Ni (237–377 ppm) contents, with less fractionated REE patterns and (La/Yb)n ratios of 20.2 to 27.8. Despite their temporal differences, the lamprophyres share similar isotopic characteristics, including high initial 87Sr/86Sr (0.707940–0.721310), negative εNd(t) (−9.19 to −5.31), and radiogenic Pb isotopic compositions (206Pb/204Pb: 18.200–18.331, 207Pb/204Pb: 15.62–15.72, 208Pb/204Pb: 38.53–38.84). These features suggest derivation from low-degree partial melting of a phlogopite-bearing, refractory peridotite lithospheric mantle, modified by olivine and clinopyroxene fractionation. This refractory mantle was metasomatically enriched by Proterozoic subduction processes beneath the Yangtze Craton. By synthesizing published Sr-Nd-Pb isotopic data, we propose that the lithospheric mantle beneath South China shifted from enriched to depleted mantle between ~220 Ma and ~ 100 Ma, possibly due to extension associated with the subduction and rollback of the Paleo-Pacific Plate.

LGNMNet-RF: Micro-Expression Detection Using Motion History Images

Micro-expressions are very brief, involuntary facial expressions that reveal hidden emotions, lasting less than a second, while macro-expressions are more prolonged facial expressions that align with a person’s conscious emotions, typically lasting several seconds. Micro-expressions are difficult to detect in lengthy videos because they have tiny amplitudes, short durations, and frequently coexist alongside macro-expressions. Nevertheless, micro- and macro-expression analysis has sparked interest in researchers. Existing methods use optical flow features to capture the temporal differences. However, these optical flow features are limited to two successive images only. To address this limitation, this paper proposes LGNMNet-RF, which integrates a Lite General Network with MagFace CNN and a Random Forest classifier to predict micro-expression intervals. Our approach leverages Motion History Images (MHI) to capture temporal patterns across multiple frames, offering a more comprehensive representation of facial dynamics than optical flow-based methods, which are restricted to two successive frames. The novelty of our approach lies in the combination of MHI with MagFace CNN, which improves the discriminative power of facial micro-expression detection, and the use of a Random Forest classifier to enhance interval prediction accuracy. The evaluation results show that this method outperforms baseline techniques, achieving micro-expression F1-scores of 0.3019 on CAS(ME)2 and 0.3604 on SAMM-LV. The results of our experiment indicate that MHI offers a viable alternative to optical flow-based methods for micro-expression detection.

LS-VIT: Vision Transformer for action recognition based on long and short-term temporal difference.

Over the past few years, a growing number of researchers have dedicated their efforts to focusing on temporal modeling. The advent of transformer-based methods has notably advanced the field of 2D image-based vision tasks. However, with respect to 3D video tasks such as action recognition, applying temporal transformations directly to video data significantly increases both computational and memory demands. This surge in resource consumption is due to the multiplication of data patches and the added complexity of self-aware computations. Accordingly, building efficient and precise 3D self-attentive models for video content represents as a major challenge for transformers. In our research, we introduce an Long and Short-term Temporal Difference Vision Transformer (LS-VIT). This method incorporates short-term motion details into images by weighting the difference across several consecutive frames, thereby equipping the original image with the ability to model short-term motions. Concurrently, we integrate a module designed to understand long-term motion details. This module enhances the model's capacity for long-term motion modeling by directly integrating temporal differences from various segments via motion excitation. Our thorough analysis confirms that the LS-VIT achieves high recognition accuracy across multiple benchmarks (e.g., UCF101, HMDB51, Kinetics-400). These research results indicate that LS-VIT has the potential for further optimization, which can improve real-time performance and action prediction capabilities.

Spectral and temporal acoustic differences between English and Dutch vowels

This study aims to compare the acoustic characteristics of English and Dutch vowels and to model the perception of Dutch vowels by English speakers on the basis of crosslinguistic acoustic similarity. The first three formant frequencies and the duration of vowels were extracted from the output of 20 native English and 20 native Dutch speakers. A linear discriminant analysis (LDA) algorithm was trained on the productions of English speakers and the Dutch productions were later supplied to the model to provide a predicted proportion of how each nonnative vowel would be classified in terms of the speakers’ L1 categories. The results of LDA demonstrated that all but one Dutch vowel were classified as above-chance responses in terms of two or more English categories. Due to the large and complex vowel system of English, completely overlapping contrasts were absent, while there was a large number of partially overlapping contrasts, which are predicted to exhibit moderate-to-good discrimination. The results of crosslinguistic acoustic similarity are largely consistent with those involving other English listeners of Dutch, potentially highlighting the importance of acoustic cues in estimating listeners’ speech perception patterns.

Economic Growth Targets, Innovation Transformation, and Urban Carbon Emissions: An Empirical Study of the Yangtze River Delta

In the face of carbon emissions reduction efforts, which are a common but differentiated global responsibility, it is crucial to explore the potential synergistic path between economic growth and carbon emissions reduction. This study integrates economic growth management and carbon emissions into a theoretical framework, based on city-level panel data from 2005 to 2019 in the Yangtze River Delta and the fixed effects model. We explore the impact of economic growth targets on urban carbon emissions. Then, we explore the mechanism by which economic growth target affects carbon emissions with the mediation effect model and moderation effect model. The results reveal that economic growth targets are beneficial for carbon reduction, and innovation development from innovation transformation is an important mechanism driving carbon emissions reduction, but the effects of different innovation outputs exhibit notable variations. In addition, marketization and industrial structure affect the relationship between economic growth targets and carbon emissions. The heterogeneity analysis reveals substantial spatial and temporal differences. Based on the realities of developing countries’ ongoing economic targets, this study provides a new explanation for the relationship between government policies and carbon emissions, establishing a scientific basis for policymakers to formulate strategic green development policies.

Identification of Key Determinants Influencing Spatiotemporal Heterogeneity of Urban Resilience

The identification of spatiotemporal heterogeneity, its key determinants, and the interaction effects between the driving factors of urban resilience (UR) within and between subregions is fundamental for understanding its underlying mechanisms. A resilience evaluation model was applied to analyze the temporal and spatial differences in UR in Hunan Province, China. A hot spot analysis identified clusters of cold and hot spots. The contributions of spatiotemporal differences in UR within and between subregions were assessed using the Theil index. A geodetector analysis determined the factors influencing UR and their interactions. There was an increasing trend in UR from 0.2692 in 2014 to 0.3422 in 2022. The number of cities with a high resilience gradually increased from 2014 to 2022, while there was a decreasing gradient in UR from northeast to southwest across the province. High-resilience cities had positive spillover effects on the surrounding area. Hot spots were predominantly located in the northeast, while cold spots were concentrated in the southwest. The barycenter of UR shifted from northeast to southwest by 2018, before moving southeast by 2022. The Theil index values declined over time both within and between subregions. Per capita GDP, the average wages of on-the-job employees, per capita social consumption, and doctor density were found to enhance UR. Two-factor interactions had a greater influence on the spatiotemporal heterogeneity of UR than single factors. Two-factor and nonlinear enhancements were identified as the primary mode of influence.

Impact of a qualitative assessment approach for neonatal abstinence syndrome management: experience of a European reference center

BackgroundThe management of infants at risk of neonatal abstinence syndrome (NAS) remains challenging. In 2000 Maternidade Bissaya Barreto implemented a strategy based on the qualitative assessment of neonates and in 2018 the Eat, Sleep, Console (ESC) approach, a tool based on similar concepts, was created. The aim is to assess the efficacy of a qualitative assessment of infants at risk, compare it with the ESC approach and report temporal trends of NAS in a European hospital.MethodsRetrospective cohort study of all infants of mothers with a history of drug abuse during pregnancy admitted to a tertiary European centre between January 2010 and December 2021. The therapeutical decision was guided by a qualitative assessment of the newborn’s well-being. The ESC approach was retrospectively determined. Pharmacologic treatment was used as a last resort. The clinical outcomes and therapeutic strategies employed were evaluated. Statistical association was evaluated. The incidence rate per 1000 births was calculated and temporal trend differences were identified.ResultsA total of 79 neonates at risk were included, of whom 40 (50.6%) developed NAS. Consolability was the most affected criterion (35.0%), followed by feeding difficulties (12.5%). Sleep was affected less frequently (5.0%). Overall, 37.5% of infants failed to meet at least one of the criteria. All neonates with a positive ESC failed the qualitative assessment (p = 1.000) After optimization of nonpharmacologic measures, drug therapy was still necessary in four cases (10.0% of infants with the syndrome). The incidence rate of NAS decreased from 3.9 per 1000 births in 2010 to 0.0 per 1000 births in 2021 (p = 0.025).ConclusionThe qualitative assessment of the infant based on the ability to feed, sleep and be consoled correctly identified neonates at risk and led to a significant reduction in the use of drug therapy. The incidence rate of NAS decreased during the study period.

Temporal trends and regional differences of initial oral antiarrhythmic drug options in patients with new-onset atrial fibrillation: a report from the GLORIA-AF registry

Abstract Background New-onset atrial fibrillation (AF) is common and antiarrhythmic drugs (AADs) are commonly used for treating such patients. However, whether there are temporal changes and regional differences in the choice of AADs in direct acting non-vitamin K oral anticoagulants (DOACs) era is less studied. Purpose The present study aimed to analyze the temporal trends and regional differences of initial oral AAD options in patients with new-onset AF in the GLORIA-AF registry, based on a proposed modernized classification of AADs in 2018 (Circulation, 2018, PMID: 30354657). AADs involved in the present study included traditional Vaughn-Williams Class I to Class IV AAD, Class IId AAD (digoxin), and Class VII AAD, which acts on the upstream of arrhythmia including angiotensin converting enzyme inhibition, angiotensin receptor blocker, and stains. Methods Temporal changes regarding the AAD use between the two phases of GLORIA-AF and regional differences of AADs choice were investigated. Factors associated with the choice of different AADs were established by multivariate logistic regression. Results Among the 36,617 participants in the GLORIA-AF registry, 33,208 (90.7%) were prescribed with AADs: 74.0% were rate control and 10.2% were rhythm control, and among the prescribed AADs, single and dual AADs were used in 73.3% and 24.9%, respectively. Moreover, 70.5% patients received upstream target modulators (Class VII AAD). Class IIa AADs (beta-blockers) were the most commonly prescribed AAD and slightly increased from Phase II (60.58%) to Phase III (62.91%) while the use of Class IId AAD (e.g. digoxin) decreased regardless of single or combined use. AADs use varied significantly among regions but the temporal trends and regional differences were similar with that of the overall cohort. Age, gender, comorbidities, admission signs, region, and concomitant medications (e.g. anticoagulants) were associated with the choices of different AADs. Conclusions In the DOAC era, new-onset AF patients receiving AAD commonly included upstream therapy. Rate control was still the dominant strategy for patients with new-onset AF but the use of Class IId AAD significantly decreased with the increased use of Class IIa AAD. The choice of AADs demonstrated significant regional differences and concomitant anticoagulants played important roles.Temporal trends in GLORIA-AFComparisons of AADs use in GLORIA-AF

The interplay among sleep patterns, social habits, and environmental cues: insights from the Spanish population and implications for aligning daily rhythms.

The interplay among sleep patterns, social habits and environmental cues is becoming increasingly more important for public health and wellbeing due to its connection to circadian desynchronization. This paper explores said connections in Spain (which has an official and solar time mismatch), introducing the "Three Times Score" ‒which is based on questions widely used in the field‒ as a complementary tool for exploring the interplay of daily rhythms. The questionnaire covers sleep-related habits, social time, and environmental time. The study includes 9,947 participants (34.89 ± 12.15 y/o, mean ± SD; 5,561 women) from different Spanish regions. Sleep parameters were obtained for work and free days, as well as a modified version of the sleep-corrected midsleep on free days (MBFbc) and a parameter similar to social jet lag, both derived from bed time rather than sleep time. A number of indexes were computed to compare bed and work-related habits, together with natural light/dark cycle, along with the Three Times Score. Mixed-effect regression analysis was used to test whether the biological, social and environmental factors included in the study significantly predicted the sleep-related parameters: bedtime, wake-up time, time in bed and mid-bedtime. Temporal differences were found between work and free days, with waking-up occurring 2 h earlier on work days (7:10 ± 0:01) than on free days (9:15 ± 0:01). Bed times were 1 h earlier on work days (23:46 ± 0:01) than on free days (00:45 ± 0:01), whereas time in bed was over 1 h shorter on work (7 h 23 min) versus free (8 h 29 min) days. Strong correlations were found between work starting time and waking-up and bedtimes on workdays. Women went to bed earlier and woke up later, spending more time in bed. Differences in sleep habits were observed between work and free days across all age groups. The group of younger adults (18-30) reported going to bed later than older and younger groups, especially on free days. Adolescents and young adults also woke-up later than other age groups, especially on free days. Social jet lag (relative to bed time) and desynchronization indexes also varied with age, with younger adult participants exhibiting higher levels. Seasonal differences were limited, with minor variations between winter and summer. According to the multiple regression analysis, social (day type, work start time, alarm clock usage), biological (age, gender, in most cases related to sex) and environmental (sunset time) factors significantly contribute to predicting sleep/bed related schedules. This study provides insights into sleep habits in the Spanish population, introducing the Three Times Score as a complementary tool for exploring the interactions between sleep/bed-related habits, natural darkness and work-related schedules. Understanding this interplay is crucial for developing tailored interventions to improve sleep and wellbeing.

Learning from conceptual models – a study of the emergence of cooperation towards resource protection in a social–ecological system

Abstract. Engaging ecological resource users in intervention to protect resources is challenging for governments due to the self-interest of users and uncertainty about intervention consequences. Focusing on a case of forest insect infestations, we addressed questions of resource protection and environmentally responsible behavior promotion with a conceptual model. We coupled a forest infestation model with a social model in which a governing agent applies a mechanism for the recognition and promotion of environmentally responsible behavior among several user agents. We ran the coupled model in various scenarios with a reinforcement-learning algorithm for the governing agent as well as best-case, worst-case, and random baselines. Results showed that a proper recognition policy facilitates emergence of environmentally responsible behavior. However, ecosystem health may deteriorate due to temporal differences between the social and ecological systems. Our work shows it is possible to gain insight about complexities of social–ecological systems with conceptual models through scenario analysis.

Quantifying Pleistocene loess provenance in midcontinental North America using a mixing model: Implications for glacial lobe evolution along the southern Laurentide ice sheet

Quaternary glaciations have significantly impacted the midcontinental North American landscape, leaving behind a proglacial sediment record of glacial lake deposits, glacio-fluvial sand and gravel, and windblown loess. This paper aims to expand upon a previous study using detrital zircon provenance analysis to investigate midcontinental North American loess provenance in relation to the glacial history of the southern Laurentide ice sheet during the middle to late Pleistocene. The study incorporates previously published detrital zircon data from last glacial tills (representing the Huron-Erie Lobe, Lake Michigan Lobe, Green Bay Lobe, Superior Lobe, Des Moines Lobe, and James Lobe), middle to late Pleistocene loess from several sites along the Illinois and Mississippi River valleys, and suspended sediment load inputs from the Missouri River and Arkansas River. A statistical mixing model (DzMix version 2.2) was used to estimate the relative proportions of glacial and nonglacial sources to Wisconsin Episode, Illinois Episode, and pre–Illinois Episode age loess. We show that mixing models that include the modern suspended sediment loads of the Missouri and Arkansas Rivers significantly improve (up to 23% increase in cross-correlation value) the source characterization of Wisconsin Episode (last glacial) and Illinois Episode (penultimate glacial) loess deposits within the Mississippi River drainage basin. These river sources are dominant inputs for certain loess sites (as much as 51%), but their relative contributions are not static across time and space, which has implications for temporal and spatial differences in relative sediment source estimates and glacial and fluvial sediment transport evolution. Specifically, differences in relative sediment proportion estimates among Wisconsin, Illinois, and pre–Illinois Episode loess support previous evidence for the persistence of a Quebec-Labrador ice dome source through multiple glacial cycles, even with the inclusion of river sources in updated mixing models. Illinois and pre–Illinois Episode loess in the southern portion of our study area received ~20% detrital zircon input from sources similar to the present-day Missouri and Arkansas Rivers, suggesting that these river systems were contributing a significant amount of detritus to the lower Mississippi River valley region during the middle Pleistocene.

Chilling and Forcing Requirements of Wintersweet (Chimonanthus praecox L.) Flowering in China

Numerous studies have reported phenological changes and their driving mechanisms in spring flowering plants. However, there is little research on the shifts of winter flowering phenology and its response to forcing and chilling requirements. Based on the China Phenological Observation Network (CPON) ground observation data from nine sites over the past 20 years, we explored the spatial and temporal variation patterns of flowering plants and their response to chilling and forcing in wintersweet (Chimonanthus praecox L.), a common winter flowering plant species in temperate and subtropical zones of China. We used three chilling models (chilling hour, Utah, and dynamic models) and the growing degree hours (GDHs) model to calculate each site’s daily chilling and forcing. Using the partial least squares (PLSs) regression approach, we established the relationship between the first flowering date (FFD) and pre-season chilling and forcing in wintersweet, based on which we identified chilling and forcing periods and calculated chilling and forcing requirements. This study found that the FFD of wintersweet in China showed an overall advancement trend during the last 20 years. Still, there were temporal and spatial differences in the FFD of wintersweet among different sites. The PLS results showed that wintersweet also had periods of chilling and forcing, both of which co-regulated wintersweet flowering. We found the forcing and chilling requirements of wintersweet varied significantly from site to site. The higher the latitude is, the more chilling requirements are needed. The chilling requirements for wintersweet were about 6.9–34.9 Chill Portions (CPs) and 1.4–21.6 CP in the temperate and subtropical zones, respectively, with corresponding forcing requirements of 3.2–1922.9 GDH and 965.3–8482.6 GDH, respectively. In addition, we found that the temperature requirements of wintersweet were correlated by a negative exponential relationship, suggesting that chilling and forcing requirements have an antagonistic effect on initiating flowering phenology. Our results could help us understand how flowering dates of winter flowering plants respond to climate change.

Tracing the dynamic ecology of microbial biofilms on steel with prolonged submersion in surface water

Amplicon sequencing is applied to monitor microbial species residing in the biofilm that formed on steel surface submerged in surface water along the Ghent Terneuzen canal, stretching 31 kms from Belgium to the Netherlands. Temporal and spatial differences in the biofilm microbiota were revealed by 16S rRNA composition analysis. The loss-of-mass from S235 steel coupons showed uniform corrosion rates ranging from 242 to 906 g/m2 after 3 months. Notably, enhanced pitting corrosion was seen at one specific location near ‘Heide’ affecting the surface with depths up to 1210 µm after 6 months. We presume the excessive steel deterioration in micro-cavities is associated with microbial activity of iron-oxidising bacteria (IOB) and sulphur-reducing bacteria (SRB), such as Shewanella spp . and Gallionella spp., respectively, as redox-active species. Indications for microbially induced corrosion (MIC) are highlighted at sites with apt microbial composition, irrespective of physico-chemical water parameters. Coupons affected by high corrosion and assumed MIC did not stand out in terms of species richness and alpha diversity did not increase, suggesting partial take-over of the microbial community by IOB or SRB.

Mortality of alzheimer's disease in Italy from 1980 to 2015.

To evaluate mortality for Alzheimer's Disease (AD) in Italy over more than three decades (1980-2015) and discuss the possible role of general and specific contributing factors. Mortality data were extracted by the Italian National Institute of Statistics: crude mortality rates were computed for sex and age, considering the whole country and its five main geographical sub-areas. Rates were standardized in two ways: directly (annual mortality rates AMRs) and indirectly (standardized mortality rates, SMRs). SMRs were then used to evaluate geographical differences; to study mortality trend, AMRs and joinpoint linear regression analysis were used. Considering the entire period and the whole country, mortality rates were similar for females and males and for geographical regions, with the exception of the older age groups where mortality for AD in females slightly prevailed. In these older patients, a steep increase of mortality was seen starting from the current century. The increase in male mortality mirrored the national trend in North-West and Central Italy, but not in North-East, South, and the Islands, where it did not surge until the mid to late 1990s. the general increase of mortality is in line with international data and it reflects the increasing prevalence of the disease, likely due to increasing longevity, and to improvements in diagnostic accuracy. In addition, the accuracy of death certificate compilation could account for both geographical and temporal differences. Currently available drugs for AD do not seem to have an impact on mortality rates.