Search

Objectives/Hypothesis Determine if oral treatment with a vasoconstrictor decreases the blood to middle ear exchange rate of the perfusion-limited gas, nitrous oxide (N2O). Study Design Randomized, double-blind, crossover study. Methods Ten adult subjects with and 10 without past middle ear disease completed paired experimental sessions, identical except for oral treatment with either pseudoephedrine hydrochloride or lactose placebo. At each session, subjects were fitted with a nonrebreathing mask and breathed room air for 20 minutes (acclimation period), 50% N2O:50% O2 for 20 minutes (experimental period), and 100% O2 for 10 minutes (recovery period). Throughout, heart rate, blood pressure, and O2 saturation were monitored, and bilateral middle ear pressures were recorded by tympanometry every minute. The primary outcome was the slope of the middle ear pressure-time function for the experimental period, which estimates the volume N2O exchange rate. Using repeated measures analysis of variance, the effects of group (disease history), treatment (active vs. placebo), and period (1 vs. 2) on the recorded vital signs, and of group, treatment, and ear (left/right) on the middle ear pressure-time slope were evaluated for statistical significance. Results Statistically significant effects of period on O2 saturation (period 2 > period 1) and of treatment on heart rate (active > placebo) were documented. Only treatment was statistically significant for the middle ear pressure-time slope, with a shallower slope characterizing the active treatment session. Conclusions The volume exchange rate across the middle ear mucosa of perfusion-limited gases can be modulated pharmacologically. Theoretically, similar drugs can be used to reduce the requisite eustachian tube opening efficiency for adequate middle ear pressure regulation. Level of Evidence 1b Laryngoscope, 125:2181-2186, 2015 [ABSTRACT FROM AUTHOR]

Effectiveness of mindfulness-based stress reduction in mood, breast- and endocrine-related quality of life and wellbeing in Stage 0-III Breast Cancer, a randomised controlled trial. 6 Mandelblatt J, Figueiredo M, Cullen J. Outcomes and quality of life following breast cancer treatment in older women: when, why, how much, and what do women want? The use of cancer care navigators, breast care nurse consultants who lead follow-up, and shared care with general practitioners are important steps that we should be aiming for in practice to maximise a patient's ability to thrive after cancer. Keywords: Breast neoplasms; Quality of life EN Breast neoplasms Quality of life 225 227 3 09/29/22 20220905 NES 220905 Breast cancer commonly causes significant physical and psychological sequelae; guidelines and models of care exist to ameliorate these Breast cancer is the most diagnosed cancer in humans.1 In 2020, there were 2.3 million women diagnosed with breast cancer, and 685 000 deaths globally. [Extracted from the article]

Changes in streamflow of the Tigris and the Euphrates Rivers are shown to be associated with the North Atlantic Oscillation (NAO), a large-scale mode of natural climate variability which governs the path of Atlantic mid-latitude storm tracks and precipitation in the eastern Mediterranean. Composite indices of Turkish winter (December–March, DJFM) temperature and precipitation are developed which capture the interannual–decadal climate variability for the Tigris–Euphrates headwater region, a significant source of freshwater for Turkey, Syria and Iraq. These indices are significantly correlated with the NAO, with 27% of the variance in precipitation accounted for by this natural mechanism. As evidenced by the recent widespread drought events of 1984, 1989 and 1990, the Tigris–Euphrates streamflow also exhibits significant, ~±40% variability, associated with extrema. Copyright © 2000 Royal Meteorological Society [ABSTRACT FROM AUTHOR]

Satellite radar altimeters like CryoSat‐2 estimate sea ice thickness by measuring the return‐time of transmitted radar pulses, reflected from the sea ice and ocean surface, to measure the radar freeboard. Converting freeboard to thickness requires an assumption regarding the fractional depth of the snowpack from which the radar waves backscatter (α) $(\alpha)$. We derive sea ice thickness from CryoSat‐2 radar freeboard data with incremental values for α $\alpha $, for the 2010–2021 winter periods. By comparing these to sea ice thickness estimates derived from upward‐looking sonar moorings, we find that α $\alpha $ values between 35%–80% result in the best representation of interannual variability observed over first‐year ice, reduced to < ${< } $55% over multi‐year ice. The underestimating bias in retrievals caused by optimizing this metric can be removed by reducing the waveform retracking threshold to 20%–50%. Our results pave the way for a new generation of 'partial penetration' sea ice thickness products from radar altimeters. Plain Language Summary: Satellite altimeters like CryoSat‐2 can be used to estimate sea ice thickness by estimating how far sea ice floes stick out above the waterline. This is done by measuring the time taken for radar waves to travel to the surface of the ice floe and back to the altimeter. All current winter sea ice thickness estimates assume that the radar waves return entirely from the sea ice surface, and not from the overlying snow cover. A growing body of research suggests this may not be the case, with weather and snow conditions affecting the fraction of the detected radar power that comes from the ice surface. We consider how well CryoSat‐2 estimates capture whether the ice is thicker or thinner than usual at a given time of year. We find that its skill is highest when we assume that 35%–80% of the radar power comes from the sea ice surface, and 20%–65% comes from the snow surface. However, improving this aspect of skill makes the sea ice thickness estimates too low. To address this, we show that a simple change in the waveform processing method can counter this bias. Key Points: CryoSat‐2 retrievals of sea ice thickness have historically been tuned to minimize bias rather than to capture interannual variabilityWe use upward‐looking sonar moorings to tune the treatment of both waveform retracking and snowpack penetration by radar wavesTuning to optimize interannual variability indicates partial penetration for all retracking thresholds [ABSTRACT FROM AUTHOR]

Heavy metals are lethal and hazardous pollutants for the ecosystem owing to their virtues including acute toxicity, prolonged persistence, and bioaccumulation. These contaminants are not only a threat to aquatic/terrestrial biota but also pose serious health issues to humans. Natural and anthropologic processes consistently upsurge heavy metal concentration beyond acceptable limits and mobilization and hence disturb biogeochemical cycles and the food chain, although several conventional strategies including adsorption, chemical precipitation, ion exchange, and membrane separation methods are being employed for the removal of these lethal heavy metals from the ecosystem but failed due to lower efficiency rates and high application charges. The current scenario highly demands advanced biosorption or bioaccumulation processes that slow down heavy metal mobilization within the acceptable limit in the ecosystem. Genetically modified microorganisms (GMMs) with desired features are developed through interdisciplinary participation of genomics, molecular microbiology, and bioinformatics that have more potential to bioremediate heavy metals than the native microbes from polluted ecosystems. The study focuses on different sources of heavy metals, their impact on the ecosystem, and the bioremediation of toxic heavy metals via GMMs. [ABSTRACT FROM AUTHOR]

The increasing urbanization and growing urban population present significant challenges for urban water resources. Inadequate management has led to a decline in water quality and a mismatch between the availability and usage of city water resources. In this period of significant growth, improving urban water efficiency and reinforcing water resource protection are especially important. Leadership is essential in developing and carrying out urban water resource policies. This research investigates how leadership influences the operational efficiency of water resources protection policies. The study seeks to fill the gap in understanding the relationship between leadership, member trust, and policy effectiveness in water resource management by constructing a theoretical model and conducting empirical analysis through questionnaire surveys. The findings of this study are expected to provide valuable insights into the significance of leadership in driving improvements in water conservation policies. By establishing a link between leadership, member trust, and operational efficiency, the research contributes to both theoretical knowledge and practical implications for enhancing water resource management strategies. Recommendations for Resource Managers: In this big development background, it is particularly important to improve urban water efficiency and strengthen water resources protection.Leadership, as a key factor in the formulation and implementation of urban water resources policy, also plays an important role.Based on this, this paper studies the impact of leadership on the operational efficiency of water resources policies by proposing hypotheses, conducting questionnaire surveys, analyzing data, and verifying construction. [ABSTRACT FROM AUTHOR]

Background: Gallbladder mucocele (GBM) is a common disease in the canine gallbladder. Although the pathogenesis of GBM remains unclear, we recently reported that the excessive accumulation of mucin in the gallbladder is not a result of overproduction by gallbladder epithelial cells (GBECs). Hypothesis/Objectives: Changes in the function of GBECs other than the production of mucin are associated with the pathogenesis of GBM. We performed an RNA sequencing (RNA‐seq) analysis to comprehensively search for abnormalities in gene expression profiles of GBECs in dogs with GBM. Animals: Fifteen dogs with GBM and 8 dogs euthanized for reasons other than gallbladder disease were included. Methods: The GBECs were isolated from gallbladder tissues to extract RNA. The RNA‐seq analysis was performed using the samples from 3 GBM cases and 3 dogs with normal gallbladders, and the gene expression profiles were compared between the 2 groups. Differences in mRNA expression levels of the extracted differentially expressed genes (DEGs) were validated by quantitative reverse transcription polymerase chain reaction (RT‐qPCR) using samples of 15 GBM cases and 8 dogs with normal gallbladders. Results: Comparison of gene expression profiles by RNA‐seq extracted 367 DEGs, including ANO1, a chloride channel associated with changes in mucin morphology, and HTR4, which regulates the function of chloride channels. The ANO1 and HTR4 genes were confirmed to be downregulated in the GBM group by RT‐qPCR. Conclusions and Clinical Importance: Our results suggest that GBM may be associated with decreased function of chloride channels expressed in GBECs. [ABSTRACT FROM AUTHOR]

Identifying sources of air pollution exposure is crucial for addressing their health impacts and associated inequities. Researchers have developed modeling approaches to resolve source‐specific exposure for application in exposure assessments, epidemiology, risk assessments, and environmental justice. We explore six source‐specific air pollution exposure assessment approaches: Photochemical Grid Models (PGMs), Data‐Driven Statistical Models, Dispersion Models, Reduced Complexity chemical transport Models (RCMs), Receptor Models, and Proximity Exposure Estimation Models. These models have been applied to estimate exposure from sources such as on‐road vehicles, power plants, industrial sources, and wildfires. We categorize these models based on their approaches for assessing emissions and atmospheric processes (e.g., statistical or first principles), their exposure units (direct physical measures or indirect measures/scaled indices), and their temporal and spatial scales. While most of the studies we discuss are from the United States, the methodologies and models are applicable to other countries and regions. We recommend identifying the key physical processes that determine exposure from a given source and using a model that sufficiently accounts for these processes. For instance, PGMs use first principles parameterizations of atmospheric processes and provide source impacts exposure variability in concentration units, although approaches within PGMs for source attribution introduce uncertainties relative to the base model and are difficult to evaluate. Evaluation is important but difficult—since source‐specific exposure is difficult to observe, the most direct evaluation methods involve comparisons with alternative models. Plain Language Summary: Air pollution sources lead to adverse health impacts and inequities. To better understand these effects, researchers have created various models to quantify air pollution exposure from specific sources. These models are used in studies that look at the health effects of pollution, help assess risks, and address environmental justice issues. We identified six types of models used to estimate exposure from pollution sources like cars, power plants, factories, and wildfires. The models use different approaches to approximate the physical processes that dictate exposure. They also vary in the exposure metrics they produce—some use concentration units, while others rely on indirect indices. Researchers should consider and state explicitly what information might be gained or lost depending on which model they use. Evaluating these models is important but can be challenging, as it often requires comparing results with other models, which can be time‐consuming and resource‐intensive. Key Points: Six source‐specific air pollution exposure assessment approaches are identifiedEvaluation methods are recommended for source‐specific exposure modelsExamples of exposure assessment applications in health studies are provided [ABSTRACT FROM AUTHOR]

Higher concentrations of ambient air pollutants, including PM2.5 and NO2, and other pollutants have been found near active oil and gas wells and may be associated with adverse COVID‐19 outcomes. We assessed whether residential exposure to nearby oil and gas production was associated with higher rates of the respiratory infection COVID‐19 and related mortality using a population‐based ecological study in California. Using gridded population estimates, we estimated area‐level exposure to annual average oil and gas production volume from active wells within 1 kilometer (km) of populated areas within census block groups from 2018 to 2020. We geocoded confirmed cases and associated deaths to assess block group case and mortality rates from COVID‐19 from February 2020 to January 2021. We fit hierarchical Poisson models with individual and area covariates (e.g., age, sex, socioeconomic disadvantage), and included time and other interactions to assess additional variation (e.g., testing, reporting rates). In the first 4 months of the study period (February–May 2020), block groups in the highest tertile of oil and gas production exposure had 34% higher case rates (IRR: 1.34 95% CI: 1.20, 1.49) and 55% higher mortality rates (MRR: 1.52 95%: CI: 1.14, 2.03) than those with no estimated production, after accounting for area‐level covariates. Over the entire study period, we observed moderately higher mortality rates in the highest group (MRR: 1.16 95%: CI: 1.01, 1.33) and null associations for case rates. Plain Language Summary: Exposure to air, noise, light pollution and other localized stressors from active oil and gas drilling may affect the immune and cardiovascular systems and respiratory health, including diseases such as COVID‐19. This study reports on COVID‐19 case and death rates in communities within 10 km of active oil and gas production. We observed that California communities that were located less than 1 km from an actively producing oil and gas well were more likely to have higher COVID‐19 case and death rates in the first 4 months of the pandemic, especially when the level of production was high. Across our entire study time (February 2020–January 2021), we did not observe higher rates of cases or deaths in these communities, except for deaths in communities with the highest amount of production. These results suggest that if there is an effect of oil and gas production on COVID‐19 rates, it may be on the number of people that become severely ill; overall, it suggests that more research may help to understand why different communities had different levels of COVID‐19. Key Points: Using gridded population estimates, we estimated exposure to oil and gas production in areas within 1 km of an active wellWe observed higher reported case and mortality rates in areas with higher estimated oil and gas production from February to May 2020We geocoded COVID‐19 cases and deaths to census block groups and estimated age and sex‐specific mortality rates from February 2020 to January 2021 [ABSTRACT FROM AUTHOR]

An ocean memory framework is proposed to reveal the atmosphere's influence on ocean temperatures. Anomalous atmospheric forcing alters the ocean state through two mechanisms: short‐term, local effects involving air− ${-}$sea heat fluxes and Ekman circulation, and long‐term, far‐field effects involving changes from overturning and gyre circulations. The framework employs the Green function's method to incorporate both effects, enabling the quantification of ocean memory and the contribution of atmospheric forcing to ocean thermal variability. The framework is employed to examine the North Atlantic Oscillation's (NAO) influence on the North Atlantic Ocean variability, including the Atlantic Multidecadal Variability, with its memory estimated to be 10–20 $10\mbox{--}20$ years. The NAO and variability in the North Atlantic jet speed explain up to 30% of ocean decadal variability, primarily driven by temporal changes in ocean heat transport. Therefore, decadal fluctuations in ocean temperatures cannot be accurately modeled solely as a passive response to stochastic atmospheric forcing. Plain Language Summary: The atmosphere and ocean are intricately linked, with the ever‐changing atmosphere driving fluctuations in ocean temperatures. However, the atmosphere changes much faster than the ocean due to their different timescales and the ocean's ability to store excess heat for many years commonly referred to as ocean memory. As a consequence, isolating and understanding how short‐term atmospheric variations influence long‐term fluctuations in ocean temperatures, particularly on decadal timescales, can be difficult. To address this challenge, we introduce an ocean memory framework that allows us to analyze and quantify the atmosphere's contribution to ocean variability. We apply this framework to study how the North Atlantic Oscillation, a major atmospheric pattern in the northern hemisphere, influences decadal fluctuations in the subpolar North Atlantic Ocean temperatures. We estimate the ocean memory timescale in the subpolar North Atlantic to be about 10–20 $10\mbox{--}20$ years, which is how long temperature anomalies persist, while being redistributed, in the ocean before dissipating. Key Points: New ocean memory framework accounts for local response due to air‐sea fluxes and far‐field response due to ocean circulationThe framework is employed to quantify subpolar North Atlantic Ocean thermal variability due to the North Atlantic Oscillation (NAO)The framework captures the sign reversal in the correlation between the NAO and ocean temperatures across seasonal to decadal timescales [ABSTRACT FROM AUTHOR]

Purpose: We aimed to investigate whether estrogen receptor (ER) status affects the predictive role of the human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) score on the efficacy of neoadjuvant treatment for HER2‐positive breast cancer. Methods: This retrospective study comprised 167 individuals diagnosed with HER2‐positive invasive breast cancer who had undergone neoadjuvant treatment and surgery. Uni‐ and multivariable logistic regression analyses were performed on the relationship between the HER2 IHC score and total pathological complete response (tpCR), breast pathological complete response (bpCR), or axillary partial response (apCR). Subgroup analyses were used to investigate whether the relationship between the HER2 IHC score and tpCR, bpCR, or apCR differed by ER or PR status. Results: The overall tpCR rate for HER2‐positive breast cancers treated with neoadjuvant treatment was 41.32% (69 of 167). The tpCR, bpCR, and apCR rates were greater in the HER2 IHC 3+ group (tpCR: IHC 3 + 47.69% vs. IHC 2 + 18.92%, p = 0.009). Significant interactions between HER2 IHC score and tpCR or bpCR were found in subgroup analyses based on ER status (tpCR: p for interaction = 0.001; bpCR: p for interaction = 0.001). Among ER‐positive patients, the HER2 IHC 2+ group had substantially decreased tpCR, bpCR, and apCR rates than the HER2 IHC 3+ group (tpCR rate: p = 0.003; bpCR rate: p = 0.002; apCR rate: p = 0.002). For ER‐negative individuals, the tpCR, bpCR, and apCR rates did not differ significantly among the HER2 IHC 3+ versus HER2 IHC 2+ groups. Similarly, interactions between HER2 IHC score and tpCR, bpCR, or apCR were found in subgroup analyses based on PR status. Conclusion: HER2 IHC 2+ may indicate a decreased tpCR rate, bpCR rate, and apCR rate to neoadjuvant treatment in HR‐positive patients having HER2‐positive breast cancer, but not in HR‐negative patients. [ABSTRACT FROM AUTHOR]

CryoSat‐2 has been successful in observing sea ice thickness from space by providing ice freeboard information. The initial estimate of the ice freeboard, called radar freeboard, is obtained by analyzing the observed waveform using a retracker. A series of corrections are needed to convert the radar freeboard to the ice freeboard. Those are the physical effects (e.g., changes in wave propagation speed and the distribution of scattering at snow and ice surfaces, etc.) and the bias of the retracker; however, traditionally, only the wave speed correction has been applied due to lack of enough information to perform the complete correction. Here, an alternative correction method for the CryoSat‐2 radar freeboard derived using the Threshold First‐Maximum Retracker Algorithm with a 50% threshold (TFMRA50) is proposed. Snow depth was used as a predictor for the correction, similar to the traditional wave speed correction, but the coefficients were empirically determined by performing a direct comparison of the radar freeboard from CryoSat‐2 and the ice freeboard from airborne observations. Consequently, this new empirical correction treats the physical effects and the retracker bias as a whole, which have been difficult to separate in the retrieval process. In this paper, we demonstrate that the retrieval accuracy of snow and ice variables and the consistency of the two independent retrieval methods are improved when the new correction is applied. The result of this study emphasizes the importance of compatibility between the retracker and the freeboard correction method. Plain Language Summary: Sea ice thickness and snow depth are considered essential climate variables because they are crucial for understanding climate change. The satellite CryoSat‐2 has successfully contributed to obtaining those variables by estimating the elevation of the sea ice surface from space. However, the estimation of the sea ice elevation can be affected by several error sources related to snow and ice conditions. Traditionally, it was challenging to perform a complete correction because there has not been enough detailed information on the snow and ice conditions. Considering the complex nature of sea ice, an alternative simple empirical correction method is proposed based on actual CryoSat‐2 and reference airborne observations. Accordingly, the proposed correction doesn't require detailed information on the surface conditions. We verify that the estimation of the snow and ice variables is improved when the new correction is applied. Additionally, the new correction also increases the consistency of two independent products. Based on its robustness and simplicity, we expect this new method to enhance our understanding of climate change by improving the quality of satellite snow and sea ice data. Key Points: The behavior of the CryoSat‐2 radar freeboard from the widely used retracker was found to be incompatible with conventional correctionAn alternative empirical method for improving the CryoSat‐2 radar‐to‐ice freeboard correction for a threshold retracker was developedThe new method can be generally applied to existing retrieval methods to improve the quality of snow depth and ice thickness retrievals [ABSTRACT FROM AUTHOR]

This review explores the state‐of‐the‐art of thermoelectric materials, covering different crystalline structures and material families (e.g., chalcogenides, Zintl phases, skutterudites, clathrates, oxides, half‐Heusler, organic–inorganic composites, metal–organic frameworks, and silicides). It examines their corresponding thermoelectric properties while considering the synthesis methods employed, paying significant attention to those that particularly follow sustainable routes. Additionally, the work addresses current challenges in the field, such as enhancing stability at high temperatures and reducing manufacturing costs. The understanding gained in this field opens avenues for designing more efficient and sustainable devices to convert waste heat into electrical energy, thereby advancing cleaner technologies. [ABSTRACT FROM AUTHOR]

Copyright of Plants, People, Planet is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Fibroblast growth factor 19 (FGF19) is an enterohepatic hormone the synthesis of which is stimulated by bile acid activation of the nuclear farnesoid X receptor (FXR) in ileal enterocytes. Increased production of FGF19 downregulates hepatocyte bile acid synthesis and gluconeogenesis, while concurrently upregulating hepatocyte glycogenesis and gallbladder (GB) filling. The physiologic impact of this regulatory cycle is illustrated in cholecystectomized humans, in whom the disturbed meal‐related flux of GB bile decreases serum FGF19 concentrations. Objective: Determine if serum FGF19 concentrations are lower in dogs with clinical GB mucoceles (GBMs) than in control dogs. Animals: Seven dogs with GBM diagnosed using abdominal ultrasonography, biochemical markers, and GB histopathology. Forty‐two control dogs without gastrointestinal or hepatobiliary disorders also were evaluated. Health status of controls was assessed by physical examination and diagnostic hematologic and biochemical test results. Methods: Prospective cross‐sectional study to compare fasting plasma or serum FGF19 concentrations between groups. Concentrations of FGF19 were quantified by a commercially available FGF19 ELISA. Results: Concentrations of FGF19 were significantly lower in dogs with clinical GBM (median, 14.0 pg/mL; range, 12.8‐67.2) than in control dogs (median, 145.3 pg/mL; range, 36.5‐285.1). Conclusions and Clinical Importance: In dogs, GBM is associated with significantly decreased serum FGF19 concentrations. We speculate that this finding reflects compromised GB contraction and decreased enterohepatic circulation of bile flow. Subnormal FGF19 concentrations may influence bile acid synthesis and hepatic metabolism. [ABSTRACT FROM AUTHOR]

Fluorescence lifetime imaging microscopy (FLIM) opens new dimensions for highly multiplexed imaging in live cells and organisms using differences in fluorescence lifetime to distinguish spectrally identical fluorescent probes. Here, a set of fluorescence‐activating and absorption‐shifting tags (FASTs) capable of modulating the fluorescence lifetime of embedded fluorogenic 4‐hydroxybenzylidene rhodanine (HBR) derivatives is described. It is shown that changes in the FAST protein sequence can vary the local environment of the chromophore and lead to significant changes in fluorescence lifetime. These fluorescence lifetime‐modulating tags enable multiplexed imaging of up to three targets in one spectral channel using a single HBR derivative in live cells and live zebrafish larvae. The combination of fluorescence lifetime multiplexing with spectral multiplexing allows to successfully image six targets in live cells, opening great prospects for multicolor fluorescence lifetime multiplexing. [ABSTRACT FROM AUTHOR]

The North Atlantic Oscillation (NAO) and North Atlantic tripole sea surface temperature (SST_tri) are important modes in the atmosphere and ocean over the North Atlantic, respectively. The link between the two is well‐known. However, this link weakened during 1980–2001, which is particularly pronounced in late winter and was not detected in early winter. This phenomenon has not been well revealed. The role of NAO in the above correlation changes was discussed. In late winter, a significant eastward shift (up to 20° longitude) of NAO south center during 1980–2001 was observed in both observation and CMIP6, accompanied by the eastward expansion of NAO north center. Spatial shift of the NAO forced the region of strong air‐sea interactions to shift and resulting in the collapse of NAO‐related SST_tri. These findings deepen our understanding of the NAO on the subseasonal scale. Plain Language Summary: A significant correlation between the North Atlantic Oscillation (NAO) and the North Atlantic tripole sea surface temperature (SST_tri) is widely recognized. However, this study found that the correlation between the two was significantly weakened in late winter during 1980–2001 while no such change was detected in early winter. Therefore, this paper will focus on the late winter and discuss the role of NAO spatial structure in the above correlation changes. When the NAO south center is located over the North Atlantic, both observations and the climate models indicate that the corresponding North Atlantic SST shows a significant tripole pattern. However, during 1980–2001, the NAO south center shift significantly eastward from the North Atlantic toward Western Europe (up to 20° longitude). At the same time, the NAO north center expanded eastward significantly. The eastward shift of the NAO results in the significant eastward shift of the turbulent heat flux and wind stress anomalies. Shift in the region of strong air‐sea interaction led to the collapse of NAO‐related SST_tri. These findings deepen our understanding of the NAO on the subseasonal scale and also provide implications for subseasonal‐seasonal predictions of Eurasian climate extremes. Key Points: The link between NAO and North Atlantic tripole SST weakened obviously during 1980–2001 late winter, which was not detected in early winterThe eastward shift of ∼20° longitude in NAO south center forced the strong air‐sea interactions region to shift in observations and CMIP6NAO's spatial shift in late winter caused the changes in the link between NAO and North Atlantic tripole SST [ABSTRACT FROM AUTHOR]

As surveillance and the diagnosis of pathology grow, increasing numbers of patients are undergoing major aortic interventions globally. As a result, surgeons and physicians will encounter thoracic aortic graft infections with increasing frequency. These infections are extremely challenging, high‐risk problems to deal with. This article provides a comprehensive overview of the pathogenesis, diagnosis, and management both medical and surgical of this high‐risk complication. We provide proposed diagnostic criteria and suggested algorithm for the management of this important group of patients. [ABSTRACT FROM AUTHOR]

Humans naturally integrate signals from the olfactory and intranasal trigeminal systems. A tight interplay has been demonstrated between these two systems, and yet the neural circuitry mediating olfactory–trigeminal (OT) integration remains poorly understood. Using functional magnetic resonance imaging (fMRI), combined with psychophysics, this study investigated the neural mechanisms underlying OT integration. Fifteen participants with normal olfactory function performed a localization task with air‐puff stimuli, phenylethyl alcohol (PEA; rose odor), or a combination thereof while being scanned. The ability to localize PEA to either nostril was at chance. Yet, its presence significantly improved the localization accuracy of weak, but not strong, air‐puffs, when both stimuli were delivered concurrently to the same nostril, but not when different nostrils received the two stimuli. This enhancement in localization accuracy, exemplifying the principles of spatial coincidence and inverse effectiveness in multisensory integration, was associated with multisensory integrative activity in the primary olfactory (POC), orbitofrontal (OFC), superior temporal (STC), inferior parietal (IPC) and cingulate cortices, and in the cerebellum. Multisensory enhancement in most of these regions correlated with behavioral multisensory enhancement, as did increases in connectivity between some of these regions. We interpret these findings as indicating that the POC is part of a distributed brain network mediating integration between the olfactory and trigeminal systems. Practitioner Points: Psychophysical and neuroimaging study of olfactory–trigeminal (OT) integration.Behavior, cortical activity, and network connectivity show OT integration.OT integration obeys principles of inverse effectiveness and spatial coincidence.Behavioral and neural measures of OT integration are correlated. [ABSTRACT FROM AUTHOR]

Biological control of weeds involves deliberate introduction of host‐specific natural enemies into invaded range to reduce the negative impacts of invasive species. Assessing the specificity is a crucial step, as introduction of generalist natural enemies into a new territory may pose risks to the recipient communities. A mechanistic understanding of host use can provide valuable insights for the selection of specialist natural enemies, bolster confidence in non‐target risk assessment and potentially accelerate the host specificity testing process in biological control. We conducted a comprehensive analysis of studies on the genomics of host specialization with a view to examine if genomic signatures can help predict host specificity in insects. Focusing on phytophagous Lepidoptera, Coleoptera and Diptera, we compared chemosensory receptors and enzymes between "specialist" (insects with narrow host range) and "generalist" (insects with wide host range) insects. The availability of genomic data for biological control agents (natural enemies of weeds) is limited thus our analyses utilized data from pest insects and model organisms for which genomic data are available. Our findings revealed that specialists generally exhibit a lower number of chemosensory receptors and enzymes compared with their generalist counterparts. This pattern was more prominent in Coleoptera and Diptera relative to Lepidoptera. This information can be used to reject agents with large gene repertoires to potentially accelerate the risk assessment process. Similarly, confirming smaller gene repertoires in specialists could further strengthen the risk evaluation. Despite the distinctive signatures between specialists and generalists, challenges such as finite genomic data for biological control agents, ad hoc comparisons, and fewer comparative studies among congeners limit our ability to use genomic signatures to predict host specificity. A few studies have empirically compared phylogenetically closely related species, enhancing the resolution and the predictive power of genomics signatures thus suggesting the need for more targeted studies comparing congeneric specialists and generalists. [ABSTRACT FROM AUTHOR]

Irrigation development, particularly small-scale irrigation, is one of the most important projects for improving agricultural productivity in a country's rural communities. The extent to which small-scale irrigation has improved household livelihoods in Ethiopia's rural areas is not widely recognized. As a result, research on the influence of small-scale irrigation on farmers' livelihoods in the Legehida district will be sought. The study took a "with" and "without" strategy, comparing farmers who used irrigation against those who did not. For analysis, both quantitative and qualitative data were employed. The survey's respondents were chosen using a random sample approach from both irrigation users and nonuser households. Quantitative data for the study were collected from randomly selected 241 farm households, of which 113 were users and 128 were nonusers, using a semistructured questionnaire. Accordingly, the propensity score matching model was employed to examine the impacts of small-scale irrigation on farmers' livelihoods. The logit model result indicates that cultivated land size, off-farm income, education level, family size, dependency ratio, total livestock unit, and distance to the nearest agricultural extension office/FTC are determinant factors in determining whether to practice irrigation when other factors remain constant. The impact of irrigation on a household's income and food security (in terms of daily calorie intake) was evaluated using a propensity score matching model. The result shows that a positive and significant impact on farmers who use small-scale irrigation has increased the daily calorie intake and annual income of households by 244.162 kilocalories and 5234.258 ETB, respectively, as compared to nonirrigation users. This shows that households that participate in small-scale irrigation activities have a higher annual income and food security status than comparable groups. In general, the study recommends that to reduce food insecurity and the socioeconomic problems of rural households, irrigation farming is one of the viable solutions; therefore, the government and nongovernmental organizations should extensively focus on the enhancement of small-scale irrigation infrastructure, policies, strategies, and extension services to increase productivity, income, and livelihood improvement in rural households. [ABSTRACT FROM AUTHOR]

Purpose. Recently, the association between ATRX and a more aggressive sarcoma phenotype has been shown. We performed a retrospective study of sarcomas from an individual institution to evaluate ATRX as a prognosticator in soft tissue sarcoma. Experimental Design. 128 sarcomas were collected from a single institution and stained for ATRX. The prognostic significance of these markers was evaluated in a smaller cohort of primary soft tissue sarcomas (n = 68). Kaplan–Meier curves were created for univariate analysis, and Cox regression was utilized for multivariate analysis. Results. High expression of ATRX was found to be a positive prognostic indicator for overall survival and metastasis-free survival in our group of soft tissue sarcomas both in univariate analysis and multivariate analysis (HR: 0.38 (0.17–0.85), P = 0.02 and HR: 0.49 (0.24–0.99), P = 0.05 , respectively). Conclusions. High expression of ATRX is a positive prognostic indicator of overall survival and metastasis-free survival in patients with STS. This is consistent with studies in osteosarcoma, which indicate possible mechanisms through which loss of ATRX leads to more aggressive phenotypes. Future prospective clinical studies are required to validate the prognostic significance of these findings. [ABSTRACT FROM AUTHOR]

Metal‐organic frameworks recently have been burgeoning and used as precursors to obtain various metal–nitrogen–carbon catalysts for oxygen reduction reaction (ORR). Although rarely studied, Mn–N–C is a promising catalyst for ORR due to its weak Fenton reaction activity and strong graphitization catalysis. Here, we developed a facile strategy for anchoring the atomically dispersed nitrogen‐coordinated single Mn sites on carbon nanosheets (MnNCS) from an Mn‐hexamine coordination framework. The atomically dispersed Mn–N4 sites were dispersed on ultrathin carbon nanosheets with a hierarchically porous structure. The optimized MnNCS displayed an excellent ORR performance in half‐cells (0.89 V vs. reversible hydrogen electrode (RHE) in base and 0.76 V vs. RHE in acid in half‐wave potential) and Zn–air batteries (233 mW cm−2 in peak power density), along with significantly enhanced stability. Density functional theory calculations further corroborated that the Mn–N4–C12 site has favorable adsorption of *OH as the rate‐determining step. These findings demonstrate that the metal‐hexamine coordination framework can be used as a model system for the rational design of highly active atomic metal catalysts for energy applications. [ABSTRACT FROM AUTHOR]

The commercialization of a polymer membrane H2–O2 fuel cell and its widespread use call for the development of cost‐effective oxygen reduction reaction (ORR) nonplatinum group metal (NPGM) catalysts. Nevertheless, to meet the requests for the real‐world fuel cell application and replacing platinum catalysts, it still needs to address some challenges for NPGM catalysts regarding the sluggish ORR kinetics in the cathode and their poor durability in acidic environment. In response to these issues, numerous efforts have been made to study NPGM catalysts both theoretically and experimentally, developed these into the atomically dispersed coordinated metal–nitrogen–carbon (M–N–C) form over the past decades. In this review, we present a comprehensive summary of recent advancements on NPGM catalysts with high activity and durability. Catalyst design strategies in terms of optimizing active‐site density and enhancing catalyst stability against demetalization and carbon corrosion are highlighted. It is also emphasized the importance of understanding the mechanisms and principles behind those strategies through a combination of theoretical modeling and experimental work. Especially, further understanding the mechanisms related to the active‐site structure and the formation process of the single‐atom active site under pyrolysis conditions is critical for active‐site engineering. Optimizing the active‐site distance is the basic principle for improving catalyst activity through increasing the catalyst active‐site density. Theoretical studies for the catalyst deactivation mechanism and modeling stable active‐site structures provide both mechanisms and principles to improve the NPGM catalyst durability. Finally, currently remained challenges and perspectives in the future on designing high‐performance atomically dispersed NPGM catalysts toward fuel cell application are discussed. [ABSTRACT FROM AUTHOR]

Shared community scenarios of societal and environmental system changes have underpinned a broad range of research and assessment studies over the past several decades. These scenarios have largely aimed to address specific questions within broad issue areas like climate change or biodiversity and generally provided information on the drivers of change. The consequences of those drivers, such as impacts on society and policy responses, have tended to be left to the research community to investigate, using scenarios of drivers as inputs to their studies, producing projections of a disparate set of relevant output metrics. While this approach has had many benefits, it has fallen short of producing a robust, comparable literature describing outcomes across studies in common metrics. We argue that new scenarios are needed that extend current approaches to be organized around common outcome metrics for the well‐being and resilience of society and ecosystems. We propose an approach that would focus on agreed upon outcomes for well‐being and resilience as well as critical drivers of change, cut across issues and scales in multiple sectors, and draw on new systematic methods of scenario generation and discovery to highlight scenarios that are most critical in understanding societal risks and responding to them. Research derived from this outcome‐based scenario development approach would facilitate improved assessment of risks of and responses to a range of stressors and the multi‐sector interactions they generate. Plain Language Summary: Scenarios are visions of how the world might unfold. They can consist of stories, numerical projections, or both. Typically scenarios describe trends in drivers of change—factors like population and economic growth, how fast technological progress occurs, and changes to the climate system. Historically, small sets of common scenarios have been widely used by the global change research community. Researchers use the scenarios as inputs to project the consequences of the drivers, for example, for agricultural production, water availability, or the costs of decarbonization. We propose that new scenarios are needed that include outcomes (consequences) not just for physical or managed systems, but also for human well‐being and resilience, including health, poverty, and household food, water, and energy security. Further, the scenarios should not only include well‐being outcomes, but be organized around them. That is, scenarios should be designed not necessarily to span a wide range of drivers, but rather to span a wide range of well‐being and resilience outcomes. Designing scenarios around the ultimate outcomes of interest will improve the assessment of risks and responses related to well‐being and resilience. New quantitative methods for generating and identifying scenarios can facilitate this process. Key Points: Community scenarios facilitate research and assessment but have fallen short of producing a literature with comparable outcomesNew scenarios are needed that are organized around outcomes for human well‐being and resilienceWe propose an outcome‐based scenario development approach that would cut across issues, scales, and sectors [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Seagrass ecosystems are of fundamental importance to our planet and wellbeing. Seagrasses are marine flowering plants, which engineer ecosystems that provide a multitude of ecosystem services, for example, blue foods and carbon sequestration. Seagrass ecosystems have largely been degraded across much of their global range. There is now increasing interest in the conservation and restoration of these systems, particularly in the context of the climate emergency and the biodiversity crisis. The collation of 100 questions from experts across Europe could, if answered, improve our ability to conserve and restore these systems by facilitating a fundamental shift in the success of such work. Summary: Seagrass meadows provide numerous ecosystem services including biodiversity, coastal protection, and carbon sequestration. In Europe, seagrasses can be found in shallow sheltered waters along coastlines, in estuaries & lagoons, and around islands, but their distribution has declined. Factors such as poor water quality, coastal modification, mechanical damage, overfishing, land‐sea interactions, climate change and disease have reduced the coverage of Europe's seagrasses necessitating their recovery. Research, monitoring and conservation efforts on seagrass ecosystems in Europe are mostly uncoordinated and biased towards certain species and regions, resulting in inadequate delivery of critical information for their management. Here, we aim to identify the 100 priority questions, that if addressed would strongly advance seagrass monitoring, research and conservation in Europe. Using a Delphi method, researchers, practitioners, and policymakers with seagrass experience from across Europe and with diverse seagrass expertise participated in the process that involved the formulation of research questions, a voting process and an online workshop to identify the final list of the 100 questions. The final list of questions covers areas across nine themes: Biodiversity & Ecology; Ecosystem services; Blue carbon; Fishery support; Drivers, Threats, Resilience & Response; Monitoring & Assessment; Conservation & Restoration; Governance, Policy & Management; and Communication. Answering these questions will fill current knowledge gaps and place European seagrass onto a positive trajectory of recovery. [ABSTRACT FROM AUTHOR]

During maternal‐to‐zygotic transition (MZT) in the embryo, mRNA undergoes complex post‐transcriptional regulatory processes. However, it is unclear whether and how alternative splicing plays a functional role in MZT. By analyzing transcriptome changes in mouse and human early embryos, dynamic changes in alternative splicing during MZT are observed and a previously unnoticed process of zygotic splicing activation (ZSA) following embryonic transcriptional activation is described. As the underlying mechanism of RNA splicing, splicing factors undergo dramatic maternal‐to‐zygotic conversion. This conversion relies on the key maternal factors BTG4 and PABPN1L and is zygotic‐transcription‐dependent. CDK11‐dependent phosphorylation of the key splicing factor, SF3B1, and its aggregation with SRSF2 in the subnuclear domains of 2‐cell embryos are prerequisites for ZSA. Isoforms generated by erroneous splicing, such as full‐length Dppa4, hinder normal embryonic development. Moreover, alternative splicing regulates the conversion of early embryonic blastomeres from totipotency to pluripotency, thereby affecting embryonic lineage differentiation. ZSA is an essential post‐transcriptional process of MZT and has physiological significance in generating new life. In addition to transcriptional activation, appropriate expression of transcript isoforms is also necessary for preimplantation embryonic development. [ABSTRACT FROM AUTHOR]

In the summer of 2020, ESA changed the orbit of CryoSat‐2 to align periodically with NASA's ICESat‐2 mission, a campaign known as CRYO2ICE, which allows for near‐coincident CryoSat‐2 and ICESat‐2 observations in space and time over the Arctic until summer 2022, where the CRYO2ICE Antarctic campaign was initiated. This study investigates the Arctic CRYO2ICE radar and laser freeboards acquired by CryoSat‐2 and ICESat‐2, respectively, during the winter seasons of 2020–2022, and derives snow depths from their differences along the orbits. Along‐track snow depth observations can provide high‐resolution snow depth distributions which are vital for air‐ice‐ocean heat and momentum transfer, understanding light transmission, and snow‐ice‐interactions. Generally, ICESat‐2 is backscattered at a surface above the elevation of the CryoSat‐2 signal. CRYO2ICE snow depths are thinner than the daily model‐ or passive‐microwave‐based snow depth composites used for comparison, with differences being most pronounced in the Atlantic and Pacific Arctic. Satellite‐derived and model‐based snow estimates show similar seasonal accumulation over first‐year ice, but CRYO2ICE has limited seasonal accumulation over multi‐year ice which is linked to a slow increase in ICESat‐2, and to some extent CryoSat‐2, freeboards. We present a first estimation of spaceborne along‐track snow depth estimates with average uncertainty of 10–11 ± 2–3 cm for 7‐km segments, with random and systematic contributions of 7 and 4 cm. These observations show the potential for along‐track dual‐frequency observations of snow depth from the future Copernicus mission CRISTAL; but they also highlight uncertainties in radar penetration and the correlation length scales of snow topography that still require further research. Plain Language Summary: Estimates of snow depth on sea ice are currently either outdated or limited in resolution, thus a need to derive high‐resolution snow depth on sea ice is crucial. Former studies have computed snow depth on sea ice using the difference in penetration between radar (Ku‐band) and laser (or Ka‐band radar) altimeters from different satellite missions, assuming the Ku‐band radar and laser/Ka‐band are reflected at the bottom and top of the snow pack, respectively. Those studies have resulted in monthly composites of snow depth due to a limited overlap of individual tracks between the satellite missions. Since the CRYO2ICE (CryoSat‐2/ICESat‐2 Resonance) campaign was initiated in July 2020, we have for the first time the possibility of investigating near‐coincident observations of spaceborne radar and laser altimeters. These results are important to initiate relevant discussions on snow depth retrieval in preparation for the future dual‐frequency altimeter mission, CRISTAL (Copernicus Polar Ice and Snow Topography Altimeter), expected to launch in 2028. Key Points: CRYO2ICE (C2I) orbits are investigated over sea ice for the first time and snow depth is computed along the orbitsC2I snow depth has an uncertainty of 10–11 cm along 7 km segments with 5–95% confidence interval of 7–16 cm for both winter seasonsAlong‐track snow depth is compared with modeled and passive‐microwave estimates and C2I is thinner for the Pacific and Atlantic Arctic [ABSTRACT FROM AUTHOR]

Objective: To support the movement in marine fisheries management toward ecosystem‐based fisheries management by exploring ecosystem‐level reference points (ELRPs) as an option for managing fisheries at the ecosystem level. An ELRP is an ecosystem harvest level or indicator with one or more associated benchmarks or thresholds (i.e., targets, limits) to identify, monitor, or maintain desirable ecosystem conditions and functions. Methods: This paper explores the development and implementation of ELRPs in fisheries management to support ecosystem and fisheries sustainability, help identify when ecosystem changes that impact fisheries resources occur, and foster discussions of trade‐offs in management decisions. Result: We organize existing and potential ELRPs into five categories (statistical analysis of nonlinear dynamics and tipping points, ecosystem productivity, ecosystem trophic information, biodiversity, and human dimensions), provide an overview of analytical methods that can estimate ELRP benchmarks, provide examples of where ELRP benchmarks are being used today, and evaluate pros and cons of the different ELRP categories. We also attempt to identify potential next steps for fisheries scientists and managers to further the science, development, and application of ELRPs. Conclusion: Ecosystem‐level reference points can be used as a proactive accountability mechanism to achieve ecosystem objectives and maintain the ecosystem in a preferred operating space or as an early warning that ecosystem‐level changes (e.g., tipping points) could be imminent if current biological and ecological trends in the system continue. Impact statementEcosystem‐level reference points (ELRPs) are a fundamental concept in ecosystem‐based fisheries management (EBFM) that are not currently being used to their full potential. Given the challenges associated with managing fisheries in a changing climate, this paper highlights ELRPs as a tool to advance the field of EBFM in the United States and globally. [ABSTRACT FROM AUTHOR]

Recent advancements in neuroendocrinology challenge the long‐held belief that hormonal effects are confined to perivascular tissues and do not extend to the central nervous system (CNS). This paradigm shift, propelled by groundbreaking research, reveals that synthetic hormones, notably in anti‐inflammatory medications, significantly influence steroid psychosis, behavioural, and cognitive impairments, as well as neuropeptide functions. A seminal development in this field occurred in 1968 with McEven's proposal that rodent brains are responsive to glucocorticoids, fundamentally altering the understanding of how anxiety impacts CNS functionality and leading to the identification of glucocorticosteroids and mineralocorticoids as distinct corticotropic receptors. This paper focuses on the intricate roles of the neuroendocrine, immunological, and CNS in fostering stress resilience, underscored by recent animal model studies. These studies highlight active, compensatory, and passive strategies for resilience, supporting the concept that anxiety and depression are systemic disorders involving dysregulation across both peripheral and central systems. Resilience is conceptualized as a multifaceted process that enhances psychological adaptability to stress through adaptive mechanisms within the immunological system, brain, hypothalamo–pituitary–adrenal axis, and ANS Axis. Furthermore, the paper explores oxidative stress, particularly its origin from the production of reactive oxygen species (ROS) in mitochondria. The mitochondria's role extends beyond ATP production, encompassing lipid, heme, purine, and steroidogenesis synthesis. ROS‐induced damage to biomolecules can lead to significant mitochondrial dysfunction and cell apoptosis, emphasizing the critical nature of mitochondrial health in overall cellular function and stress resilience. This comprehensive synthesis of neuroendocrinological and cellular biological research offers new insights into the systemic complexity of stress‐related disorders and the imperative for multidisciplinary approaches in their study and treatment. [ABSTRACT FROM AUTHOR]

Background: An earlier study in a school in England found that a series of brief values affirmation writing exercises, performed over the course of a school year by students aged 11-14, increased the mathematics attainment of students of low socioeconomic status (SES)., Aims: This pre-registered follow-up of the original study aims to investigate the long-term effects of values affirmation on low-SES students' attainment., Sample: The sample consisted of all students in the analytical sample of the original study who remained at the school and for whom the necessary data were available, N = 409 (95 low-SES)., Methods: The students' results in high-stakes national standardized assessments at age 16, taken two to four years after the affirmation, were analysed., Results: The evidence did not support the pre-registered hypotheses that values affirmation would raise the attainment of low-SES students in mathematics and English. However, exploratory analyses suggested that for low-SES students in two of the three-year groups, the intervention increased Attainment 8, a broad policy-relevant measure of academic attainment, and increased the attainment of boys in English (in particular English Literature) but reduced the corresponding attainment of girls., Conclusions: The results suggest that the benefits of values affirmation can differ by student cohort and by school subject and that they might be time-limited in some circumstances. This suggests a set of hypotheses that future research could test in order to advance understanding of when values affirmation is, and is not, successful for school students over a sustained period., (© 2024 The Author(s). British Journal of Educational Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)

Accurately assessing primate diets is important in studies of behavioral ecology and evolution. While previous research has compared sampling methods (scan, focal), we examined how sampling schedule influences accuracy of dietary measures. We define sampling schedule as the combined distribution (random vs. consecutive) and frequency of sampling days within a given month. Under field conditions, time may be required to locate a study group, and we therefore also subtracted 1, 2, or 3 h from the beginning of all non-consecutive days in each sampling schedule to mimic observation time lost to search. From a dense (near daily) 5-year record of feeding behavior derived from focal animal follows of adult females in five wild blue monkey (Cercopithecus mitis) groups, we created data subsets matching various sampling schedules, and compared monthly dietary measures calculated from each subset to those based on the full data set. These measures included (1) the proportion of observation time feeding on fruit, (2) diet composition (three top-ranked food items), (3) species richness of plant diet, (4) Shannon-Wiener diversity index based on plant species, and (5) Holmes-Pitelka index expressing dietary overlap with the previous month. We used generalized linear mixed models to assess how frequency and sampling type (a combination of distribution and hours lost) relate to a subset's deviation from the full data set, where a smaller deviation (or higher chance of matching, for diet composition) implies greater accuracy. For all dietary measures, increasing observation frequency increased accuracy. The response to distribution varied among measures, but sampling types generally differed more at lower frequencies. Deviation varied widely within and between dietary measures, and some sampling schedules resulted in values with large percentage differences from the "full" data. Accordingly, when designing and comparing studies, researchers should consider how sampling schedules may influence the accuracy of the dietary measures of interest., (© 2024 Wiley Periodicals LLC.)

Aim: To (i) evaluate structured postgraduate part-time programs in periodontology, including those addressing peri-implant diseases, among members of the European Federation of Periodontology (EFP), (ii) the impact of the 2018 classification scheme and EFP clinical practice guidelines and (iii) propose a framework for periodontal vocational education and training., Materials and Methods: A summary of relevant European guidelines for vocational education and training was compiled. In a survey and in a systematic review, current part-time programs in continuing professional education in periodontology as well as in prevention and management of peri-implant diseases were examined. The implementation and dissemination of the 2018 classification scheme and the EFP clinical practice guidelines were assessed by literature analysis. Based on these findings, a framework for periodontal vocational education and training was generated., Results: Part-time programs for professional development in periodontology are established in nine EFP member countries. The systematic review identified lack of knowledge in prevention and management of peri-implant diseases among dental practitioners and hygienists. Continuing professional development was found to be important for education in prevention, classification and management of periodontal as well as peri-implant diseases. The proposed European framework consists of an escalator model with three levels (certificate, diploma and master)., Discussion: Considering the identified variation in the national programs, there is a need to improve education in periodontal and peri-implant diseases. The proposed framework will help harmonize the national structures., Conclusion: The proposed framework for part-time professional development is expected to enhance professional qualification., (© 2024 The Author(s). Journal of Clinical Periodontology published by John Wiley & Sons Ltd.)

Background: Critical care beds are a limited resource, yet research indicates that recommendations for postoperative critical care admission based on patient-level risk stratification are not followed. It is unclear how prioritisation decisions are made in real-world settings and the effect of this prioritisation on outcomes., Methods: This was a prespecified analysis of an observational cohort study of adult patients undergoing inpatient surgery, conducted in 274 hospitals across the UK and Australasia during 2017. The primary outcome was postoperative morbidity at day 7. Logistic regression models were used to evaluate the relationship between critical care admission and patient and health system factors. The causal effect of critical care admission on outcome was estimated using variation in critical care occupancy as a natural experiment in an instrumental variable analysis., Results: A total of 19,491 patients from 248 hospitals were eligible for analysis, of whom 2107 were directly admitted to critical care postoperatively. Postoperative morbidity occurred in 2829/19,491 (15%) patients. Increasing surgical risk was associated with critical care admission, as was increased availability of critical care beds (odds ratio (95%CI) 1.04 (1.01-1.06), p = 0.002) per available bed; however, the probability of admission varied significantly between hospitals (median odds ratio 3.05). There was no evidence of a difference in postoperative morbidity with critical care admission (odds ratio (95%CI) 0.91 (0.57-1.45), p = 0.710)., Discussion: Postoperative critical care admission is variable and related to bed availability. Statistical methods that adjust for unobserved confounding lowered the estimates of harm previously reported to have been associated with postoperative critical care admission. Our findings provide a rationale for a clinical trial which would evaluate any potential benefits for postoperative critical care admission for patients in whom there is no absolute indication for admission., (© 2024 The Author(s). Anaesthesia published by John Wiley & Sons Ltd on behalf of Association of Anaesthetists.)

Objective: This study assessed predictors of stress, anxiety and depression during the COVID-19 pandemic using a large number of demographic, COVID-19 context and psychological variables., Methods: Data from 741 adults were drawn from the Boston College daily sleep and well-being survey. Baseline demographics, the long version of the daily surveys and the round one assessment of the survey were utilized for the present study. A Gaussian graphical model (GGM) was estimated as a feature selection technique on a subset of ordinal/continuous variables. An ensemble Random Forest (RF) machine learning algorithm was used for prediction., Results: GGM was found to be an efficient feature selection method and supported the findings derived from the RF machine learning model. Psychological variables were significant predictors of stress, anxiety and depression, while demographic and COVID-19-related factors had minimal predictive value. The outcome variables were mutually predictive of each other, and negative affect and subjective sleep quality were the common predictors of these outcomes of stress, anxiety, and depression., Conclusion: The study identifies risk factors for adverse mental health outcomes during the pandemic and informs interventions to mitigate the impact on mental health., (© 2024 British Psychological Society.)

Introduction: Iran, a country in the Middle East, has several ethnic and ethno-religious groups and needs its own ethnic-specific databases for the forensic statistical parameters and allele frequency of STR markers., Methods: We have investigated 600 unrelated Turk individuals from four northwestern provinces of Iran using the Identifiler™ system (TPOX, FGA, vWA, TH01, CSF1PO, D2S1338, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D19S433, and D21S11). Furthermore, STR allelic frequencies were compared to previously population-based data., Results and Conclusion: After Bonferroni correction, deviation from Hardy-Weinberg equilibrium (HWE) was observed in the FGA, TPOX, VWA, and D19S433 loci (P value < 0.05). The combined power of discrimination (CPD) and exclusion (CPE) values for all 15 STR loci were 0.9999999999999999999984 and 0.9999999, respectively. In comparison with Azerbaijani and Turkish populations, there were no significant differences on all STR markers. However, in the Chinese Han population, differences at 13 STR loci were detected. Additionally, comparisons of Fischer genetic distance indices (FST) P-values did not reveal any statistically significant difference between Northwestern Iran, Azerbaijan and Iran (Fars) populations. PCA and PCoA analyses showed that our population was grouped with different populations in different quarters, showing a positive and negative correlation, respectively. In the NJ and UPGMA phylogenetic trees, Iranian populations were grouped together. These results demonstrated that the given set of STR markers can be confidently used for all identification tests in Northwestern Iran., (© 2024 University College London (UCL) and John Wiley & Sons Ltd.)

Background. Ruling out acute myocardial infarction (AMI) in the emergency department (ED) is challenging. Studies have shown that a high-sensitivity cardiac troponin T (hs-cTnT) <5 ng/L or <6 ng/L at presentation (0 h) can be used to rule out AMI. The objective of this study was to identify whether an even higher hs-cTnT threshold can be used for a safe rule out of AMI in the ED. Methods. The derivation cohort consisted of 24,973 ED patients with a primary complaint of chest pain. In this cohort, we identified the highest concentration of 0 h hs-cTnT that corresponded to a negative predictive value (NPV) of ≥99.5% for the primary endpoint of AMI/all-cause death within 30 days and the secondary endpoint of all-cause death within one year. The results were validated in two cohorts consisting of 132,021 and 1167 ED chest pain patients. Results. The 0 h hs-cTnT threshold corresponding to a NPV of ≥99.5% for the primary endpoint was <9 ng/L (NPV: 99.6% and 95% CI: 99.5–99.7). This cutoff provided a sensitivity of 96.2% (95% CI: 95.2–97.1) and identified 59.7% of the patients as low risk compared to 35.8% and 43.9% with a 0 h hs-cTnT <5 ng/L and <6 ng/L, respectively. The results were similar in the validation cohorts and seemed to perform even better in patients where the 0 h hs-cTnT was measured >3 h after symptom onset and in those with a nonischemic ECG and nonhigh risk history. Conclusions. A 0 h hs-cTnT cutoff of <9 ng/L safely rules out AMI/death within 30 days in a majority of chest pain patients and is a more effective strategy than the currently recommended <5 ng/L and <6 ng/L cutoffs. This trial is registered with NCT03421873. [ABSTRACT FROM AUTHOR]

Water scarcity is a global challenge, and solar evaporation technology offers a promising and eco‐friendly solution for freshwater production. Photothermal conversion materials (PCMs) are crucial for solar evaporation. Improving photothermal conversion efficiency and reducing water evaporation enthalpy are the two key strategies for the designing of PCMs. The desired PCMs that combine both of these properties remain a challenging task, even with the latest advancements in the field. Herein, we developed copper nanoparticles (NPs) with different conjugated nitrogen‐doped microporous carbon coatings (Cu@C–N) as PCMs. The microporous carbon enveloping layer provides a highly efficient pathway for water transport and a nanoconfined environment that protects Cu NPs and facilitates the evaporation of water clusters, reducing the enthalpy of water evaporation. Meanwhile, the conjugated nitrogen nodes form strong metal‐organic coordination bonds with the surface of copper NPs, acting as an energy bridge to achieve rapid energy transfer and provide high solar‐to‐vapor conversion efficiency. The Cu@C–N exhibited up to 89.4% solar‐to‐vapor conversion efficiency and an evaporation rate of 1.94 kg m−2 h−1 under one sun irradiation, outperforming conventional PCMs, including carbon‐based materials and semiconductor materials. These findings offer an efficient design scheme for high‐performance PCMs essential for solar evaporators to address global water scarcity. [ABSTRACT FROM AUTHOR]

Fungi adapt to their surroundings, modifying their behaviors and composition under different conditions like nutrient availability and environmental stress. This perspective examines how a basic understanding of fungal genetics and the different ways that fungi can be influenced by their surroundings can be leveraged toward the production of functional mycelium materials. Simply put, within the constraints of a given genetic script, both the quality and quantity of fungal mycelium are shaped by what they eat and where they grow. These two levers, encompassing their global growth environment, can be turned toward different materials outcomes. The final properties of myco‐materials are thus intimately shaped by the conditions of their growth, enabling the design of new biobased and biodegradable material constructions for applications that have traditionally relied on petroleum‐based chemicals.This perspective highlights aspects of fungal genetics and environmental adaptation that have potential materials science implications, along the way touching on key studies, both to situate the state of the art within the field and to punctuate the viewpoints of the authors. Finally, this work ends with future perspectives, reinforcing key topics deemed important to consider in emerging myco‐materials research. [ABSTRACT FROM AUTHOR]