Trends In Levels Research Articles

Effects of simulated natural light brightness on visual perception in virtual reality forests: An eye-tracking study

Although natural light is essential for human health and well-being, the potential effects of different brightness levels of light on the visual perception of forests have not been discussed. Using controlled eye-tracking experiments, this study explored the impact of seven simulated natural brightness levels, from the darkest to the brightest, on the visual perception of 118 participants in a virtual reality (VR) forest environment. One of the most significant findings of this study was the marginal effect of natural light brightness levels on visual physiological stress in VR forests, with the pupillary unrest index decreasing significantly with the increase of natural light brightness; Secondly, the study analyzed the influence of natural light brightness levels in VR forests on the visual engagement behavior of eye tracking, that is, bright forest environments showed an overall trend associated with longer fixation duration, less saccade duration, and greater fixation direction ratio; Thirdly, in terms of visual perception evaluation, the study found an inverted U-shaped trend of mood, restorative perception, perceived safety, and natural light brightness level in VR forests. In addition, the study also found a significant correlation between visual physiological and psychological indicators in VR forest natural light visual perception experiments. These findings help us understand the visual perception effect of forest nature light exposure as a whole, and provided important clues and a basis for future research on improving the visual comfort of forest natural light.

Detection of flood trends and drivers in the Taihu Basin, China

Study regionTaihu Basin, China Study focusFloods threaten humans, the environment, economic activity, and infrastructure. In this study, a new trend test and flood-frequency methods were adopted to detect extreme floods and their distributions based on flood-event identification. To fully understand the phased process of the influence of human activities on extreme hydrological processes, 12 copula functions were employed creatively in combined static and dynamic time-varying correlation aspects between extreme precipitation and floods. New hydrological insights for the regionAlthough both significant and insignificant increasing trends of the annual maximum water level in all three hydrological districts were examined, the periodic oscillations of all the stations were similar. Thus, it was significant to fully detect the periodical variation of floods. Extreme floods occurred mainly in the 1990s, as measured by frequency estimates. Generally, the nonstationary response relationship between heavy rain and an extreme water level was gradually strengthened; that is, a certain magnitude precipitation seemed to induce a greater-intensity flood event as time passed. Through the identification of historical flood events and the analysis of the rise and fall processes of floods, we found that the main reason for variation in the response relationship was the increase in the water level before the rising stage, rather than the water level rising in the Taihu Basin. Our study findings further existing knowledge on the regional flood-control design standard and can ensure the coexistence of humans and water systems in the future.

Identification of Disulfidptosis-Related LncRNA Subtypes, Establishment of a Prognostic Signature, and Characterization of Immune Infiltration in Ovarian Cancer.

Ovarian Cancer (OC) is a lethal malignant tumor with a poor prognosis. Disulfidptosis is a newly identified form of cell death caused by disulfide stress. Targeting disulfidptosis is a new metabolic therapeutic strategy in cancer treatment. We aimed to establish a disulfidptosis- related lncRNA signature for prognosis prediction and explore its treatment values in OC patients. Data from the TCGA and GTEx databases and a disulfidptosis gene set were used to establish a disulfidptosis-related lncRNA signature for prognosis prediction in OC patients. Then, we internally and externally (PCR) validated our model. We also built a nomogram to improve our model's predictive power. Afterward, GSEA was employed to explore our model's potential functions. The ESTIMATE, CIBERSORT, TIMER, and ssGSEA were applied to estimate the immune landscape. Finally, the drug sensitivity of certain drugs for OC patients was analyzed. We built a prognosis model based on seven drlncRNAs, including AL157871.2, HCP5, AC027348.1, AL109615.3, AL928654.1, LINC02585, and AC011445.1. Our model performed well by internal validation. PCR data also confirmed the same trend in the lncRNA levels. Furthermore, the nomogram-integrated age, grade, stage, and risk score could accurately predict the survival outcomes of OC patients. Subsequently, GSEA unveiled that our model genes enriched the Hedgehog signaling pathway, a key regulator in OC tumorigenesis. Our predictive signature was associated with immune checkpoints, such as PD-1(P < 0.01), PD-L1(P < 0.001), and CTLA4 (P < 0.01), which might help screen out OC patients who are sensitive to immunotherapy. Small molecule drugs, such as AZD-2281, GDC-0449, imatinib, and nilotinib, might benefit OC patients with different risk scores. Our disulfidptosis-related lncRNA signature comprised of AL157871.2, HCP5, AC027348.1, AL109615.3, AL928654.1, LINC02585, and AC011445.1 could serve as a prognostic biomarker and guidance to therapy response for OC patients.

A-133 Trusted Test Goes Awry: Investigating Dilution Aberrations for Total Bilirubin

Abstract Background A patient with acute decompensated cirrhosis was hospitalized due to lightheadedness and jaundice, undergoing evaluation for a liver transplant. The attending physician brought to the laboratory’s attention a perplexing pattern in the patient's total bilirubin results. Initially, the patient displayed a consistent trend of elevated total bilirubin levels above the upper limit of linearity, ULOL (&amp;gt; 30 mg/dL), which then plummeted to under the limit of quantification (&amp;lt; 0.1 mg/dL) before surging back to &amp;gt; 30 mg/dL. Methods The total bilirubin in heparinized plasma was measured on the AU5800 by Beckman Coulter. Samples &amp;gt; ULOL are diluted automatically 1:3 utilizing the instrument’s on-board dilution feature. The final test results are reported automatically to an electronic medical record. Following the reported incident, an investigation and troubleshooting plan was developed, encompassing the following steps: Repeat patient testing with total bilirubin concentration &amp;gt; 30 mg/dL and &amp;lt;0.1 mg/dL; Rule out the previously reported potential interferences, including Immunoglobin M and acetaminophen; Conduct a 90-day quality control (QC) review; Perform split test analysis on two instruments within the laboratory and at a reference laboratory; Conduct patient chart reviews to identify discrepancies based on previously reported values; Complete a root cause analysis and develop corrective/preventive action plan. Results Patient sample &amp;lt; 0.1 mg/dL was tested on an alternative instrument, resulting &amp;gt; 30 mg/dL. Patient with normal IgM of 161 mg/dL didn’t reveal any other potential drug interferences in chart review. The 3-month QC review found consistent with peer performance. Split comparison of 6 patients revealed discrepancies for samples &amp;gt; 30 mg/dL on one of the two instrument units. When total bilirubin &amp;gt; 30 mg/dL, the malfunctioning unit erroneously reported values &amp;lt; 0.1 mg/dL after dilution. Review of 34 patient charts showed the impact dates were spanned for 39 days. Since the on-board dilution feature is utilized by 10 other analytes, 892 diluted samples were analyzed for discrepancies. 36 discrepant results were identified among 4 affected assays including total bilirubin, direct bilirubin, creatine kinase, and alanine aminotransferase. These results were corrected, and providers were notified. Conclusions The root cause was traced to a malfunction in one instrument unit, despite no malfunction flags. The laboratory QC concentrations fell within the analytical measurement range, missing the dilution issue during the daily QCs. During an extensive repair period, the on-board dilution was disabled on the affected unit and samples were re-routed to alternative instrument for testing. Policy changes and operator training were initiated for a new result verification process, impacting the laboratory productivity. Autoverification of diluted sample results was disabled for all chemistry analyzers. The vendor identified the issue as sample transfer unit crane misalignment in the up/down direction. It is worth noting that proficiency testing or QCs often do not extend beyond the analytical measurement ranges, leading to undetected incidents. Additional quality measures like periodic patient chart reviews, patient sample comparisons, and other quality assurance tools can aid in on-going dilution performance verification. Open communication between the physicians and laboratories is crucial for prompt issue identification and resolution.

Spatiotemporal variation of water level in wetlands based on multi-source remote sensing data and responses to changing environments

Under changing environmental conditions, water level is a crucial indicator for assessing the wetland hydrological cycle. However, due to some wetlands being located in remote and widely dispersed areas, acquiring data on wetland water level changes presents significant challenges, making wetland water level monitoring exceptionally difficult. Wetlands are extensively distributed in western Jilin Province, China, and are experiencing significant degradation due to various factors including natural conditions, agricultural activities, and social development. To address this challenge, this study proposes a monitoring method that combines Sentinel-3 radar altimetry satellites with optical remote sensing images to obtain wetland water level data. Additionally, the study takes into account the Chinese government's Interconnected River System Network Project (IRSNP), classifying wetlands in western Jilin Province into three different water recharge scenarios: direct recharge through main and branch canals, indirect recharge through ditches, and no recharge to isolated wetlands. This study analyses the relationship between wetland water level changes and climatic factors, and assesses how IRSNP can mitigate the negative impacts of climate factors on wetland water levels across different recharge scenarios. The results show that: (1) the wetland water level monitoring method, has high accuracy and feasibility. The average difference between the in-situ measured and satellite-monitored water levels was 0.254 m. (2) There was an overall increasing trend in wetland water levels directly influenced by IRSNP, an insignificant decreasing trend in wetland water levels indirectly influenced by IRSNP. (3) Increased precipitation and decreased evaporation are the predominant climatic factors contributing to rising wetland water levels. Conversely, lower relative humidity and higher temperatures primarily lead to declining water levels. The construction of IRSNP can mitigate the impact of climate change on water levels. Thus, under changing environmental conditions, the implementation of IRSNP has positively impacted wetland protection and provides valuable insights for understanding wetland water level changes and managing water resources effectively.

Methylome-wide association study of adolescent depressive episode with psychotic symptoms and childhood trauma

BackgroundEmerging evidence suggests that DNA methylation is crucial in the mental disorder pathophysiology. The current study attempted to identify the dysregulation of DNA methylation patterns in adolescent patients suffering from depressive episodes (DE) while considering the impact of various subtypes, including psychotic symptoms and a history of childhood trauma. MethodsThe study included 67 patients with DE and 30 healthy controls (HCs) subjects. Severe depressive episode (SDE) patients were grouped according to psychotic symptoms, such as SDE with vs. SDE without psychotic symptoms (cases 29 vs. 21). The Childhood Trauma Questionnaire-Short Form helped assess childhood trauma among all patients. Thus, all the patients were divided into adolescent DE experiencing ≥ two trauma types vs. experiencing ≤ one trauma type (cases, 50 vs. 17). Methylome-wide analysis was conducted on peripheral blood to identify methylation differences in CpG sites for three comparisons: DE vs. HCs, SDE patients with vs. without psychotic symptoms, and DE patients having 0–1 type of childhood trauma vs. those having ≥two types of childhood trauma. ResultsAdolescent DE patients demonstrated a predominant trend of lower methylation levels than HCs, with 259 hypermethylated and 3956 hypomethylated sites. Differentially hypomethylated sites involve related genes such as FKBP5, BDNF, NR3C1, GABRB3, SHANK1, SLC38A1, SLC6A18, CHRNB1, CTNNA2, CTTNBP2, etc. All these genes could be involved in DE pathogenesis. Significant DNA methylation changes could be observed in SDE subgroups with and without psychotic symptoms (e.g., genes like DTNB, CNTN1, CTNNA2), along with those DE patients having 0–1 type of childhood trauma compared to those with ≥2 types (e.g., VWA3B, SYT10, SDK2, CAMSAP3). Many significant methylated sites were associated with genes involved in brain development, highlighting the potential pathophysiological mechanisms linked with DE and its subtypes, such as psychotic symptoms and childhood trauma. ConclusionOur findings suggest that differential DNA methylation is associated with the pathophysiology of DE, as well as the presence of psychotic symptoms and a history of childhood trauma. These blood-based methylation patterns may serve as biomarkers for DE and shed light on underlying mechanisms across these subtypes.

330P Trends in creatine kinase levels and 10-meter walk-run velocity in pediatric Becker muscular dystrophy treated with glucocorticoid steroids

330P Trends in creatine kinase levels and 10-meter walk-run velocity in pediatric Becker muscular dystrophy treated with glucocorticoid steroids

Research on the dynamic characteristics and improvement path of urban sustainable development level: Based on gravitational model and scenario simulation method

The rapid expansion of cities has brought new challenges to sustainable development (SD). Therefore, how to balance between SD and the economic growth has become the key to regional development. With the aim of enhancing the research system of SD level, founded on the deep research of SD level from a new perspective of “input-output” and the dynamic evolution law of SD level, this paper has explored the path for cities to improve their level of SD to achieve regional coordinated development. By virtue of the Super-efficiency Slack-Based Measure model based on unexpected output (unexpected super efficiency SBM model), it has measured the SD level of 21 cities in Sichuan from 2010 to 2019. Using methods such as equilibrium coefficient, obstacle analysis and gravitational model, this paper has studied the spatiotemporal evolution law of SD level and constructed six scenarios to simulate the future trend of SD level. The results have indicated that the level of SD in Sichuan is showing a gradual decline with significant constraints. The focus of SD in Sichuan is gradually shifting from Chengdu to a city cluster centered around Chengdu, Ziyang, and Meishan. In an ideal development scenario, the level of SD has significantly improved. This study has revealed the current status and potential of SD in Sichuan. In the future, with more concentration on the role of core urban agglomerations, Sichuan should adjust policies to address input–output barriers to promote SD throughout the province.

The Levels of Serum HBV Pre-Genomic RNA and Its Associated Factors Among HBV-Infected Patients: A Retrospective Cohort Study in Hangzhou, Zhejiang, China.

This study aimed to explore serum HBV pre-genomic RNA (pgRNA) levels and its associated factors among HBV-infected patients in the real world. This retrospective cohort study was conducted from May 10, 2023, to January 15, 2024. Univariate logistic analysis for positive serum HBV pgRNA was performed first, and variables with statistical significance were included in a multivariate logistic model. A decreasing trend of serum HBV pgRNA and HBV DNA levels was also detected first by univariate logistic regression and then by multivariate logistic regression. 482 patients were included in our analysis at baseline, and 191 patients were followed up. Multivariate logistic regression revealed that positive HBV DNA (AOR: 2.63, 95% CI: 1.46-4.75, P=0.001), ≥1000hBsAg (AOR: 2.29, 95% CI: 1.08-4.89, P=0.03), positive HBeAg (AOR: 28.26, 95% CI: 15.2-52.55, P<0.001), and ALP (AOR: 1.01, 95% CI: 1.001-1.02, P=0.03) were positively correlated with positive HBV pgRNA at baseline. Two independent multivariate logistic regression models were constructed for the decreasing trend of serum HBV pgRNA and HBV DNA for the 191 follow-up patients. Results showed that the decreasing trend of HBV pgRNA was positively correlated with positive baseline HBV DNA (AOR: 4.60, 95% CI: 1.84-11.51, P=0.001), baseline HBsAg ≥1000 IU/mL (AOR: 8.74, 95% CI: 1.09-70.10, P=0.04), and HDL (AOR: 5.01, 95% CI: 1.28-19.66, P=0.02). The decreasing trend of HBV DNA was positively correlated with positive baseline HBV pgRNA (AOR: 3.80, 95% CI: 2.00-8.83, P<0.001) and AST (AOR: 1.06, 95% CI: 1.03-1.08, P<0.001). Our study revealed that HBV DNA, HBsAg, HBeAg, and ALP were significantly correlated with positive HBV pgRNA at baseline. The baseline HBV DNA, HBsAg, and HDL were significantly correlated with decreasing levels of HBV pgRNA. A decreasing trend of HBV DNA significantly correlated with patients' baseline HBV pgRNA and AST.

Photoionization ion mobility analyzer for on-site measurement of exhaled acetone by coupling miniature thermoelectric cooling dehydration

The breath concentration of acetone holds significant clinical importance, the development of on-site and accurate analyzer for exhaled acetone is highly demanded. A photoionization ion mobility analyzer based on a low-pressure krypton discharge lamp has been developed for direct and rapid determination of the acetone concentration. The difficulty for sensitive measurement of acetone by vacuum ultraviolet photoionization was the strong absorption of water molecules in the breath air. An online dehydration device with a miniature thermoelectric cooling quartz trap has been developed, which was capable for reducing the relative humidity from over 90 % to below 1 %. The dehydration could enhance the signal intensity of acetone about 85 times. The response time of current thermoelectric cooling dehydration was only 1/20 of the Nafion tube dehydration. A limit of detection 0.02 ppmV and linear response up to 2.0 ppmV were achieved. The interferences from ammonia in exhaled breath was eliminated using a calibration method based on ion number density, achieving recoveries ranging from 90 % to 110 %. In the final, the variation trends of exhaled acetone level in healthy individuals following the ingestion of glucose under fasting conditions were carried out to demonstrate the potential application of the analyzer.

Use of Hydrochlorothiazide in the United States Following Label Update About Skin Cancer Risk.

On August 20, 2020, the United States (U.S.) Food and Drug Administration (FDA) issued a Drug Safety Communication (DSC) along with labeling updates to inform the public about a small increased risk of non-melanoma skin cancer (NMSC) associated with hydrochlorothiazide (HCTZ) use. This study aims to assess whether the DSC impacted HCTZ use in the U.S. We conducted a trend analysis in the Sentinel Distributed Database using national healthcare administrative data from January 2017 to November 2022. We identified two cohorts each month: An overall cohort of all enrollees and a skin cancer cohort of those with a history of NMSC. For each cohort, we plotted the monthly proportion of patients receiving HCTZ-containing products among those receiving any thiazide diuretics. We performed interrupted time series analyses to quantify the impact of the DSC on these monthly proportions. Secondary analyses were conducted on the proportion of HCTZ users among patients receiving any antihypertensives. In the overall cohort, the DSC was only associated with a statistically significant but clinically negligible trend change of monthly HCTZ proportion within this cohort (0.018%; 95% CI, 0.012%-0.025%). Similar results were observed in the skin cancer cohort. The secondary analysis found no significant level change or trend change in the monthly proportion of HCTZ use among antihypertensive users. We did not observe significant changes in HCTZ use following the DSC about its NMSC risk, among the overall population and those with a history of NMSC. Our findings were in accordance with the DSC recommendation.

Serum tumor markers and outcomes in lung cancer patients with brain metastases: a retrospective longitudinal cohort study.

Serum tumor markers (STMs) are recommended for cancer diagnosis and surveillance. However, their role in lung cancer with brain metastases (BM) is not yet clear. We aim to analyze the roles of baseline levels of STMs or ongoing STM surveillance on survival. This retrospective longitudinal cohort study included 1,169 lung cancer patients with BM. The STM data during disease course were collected. Distinct trajectory groups were identified using the latent class growth mixed model (LCGMM). The roles of STMs on survival were further analyzed using Kaplan-Meier analysis and Cox proportional hazard models. Serum levels of cytokeratin-19 fragment (CYFRA21-1) (P<0.001), carcinoembryonic antigen (CEA) (P=0.005) and neuron-specific enolase (NSE) (P<0.001) at baseline exhibited significant correlation with overall survival (OS) of patients with BM, serving as independent prognostic factors. Further analysis indicated that baseline CYFRA21-1, CEA, NSE as well as status of key driver genes were independent prognostic factors in non-small cell lung cancer (NSCLC) patients with BM, while for small cell lung cancer (SCLC) patients with BM, baseline NSE and receiving chemotherapy show independent correlations with survival. Furthermore, we delineated the dynamic trajectories of STMs based on changes in disease course. More specifically, compared to those showing a baseline-high trend in CEA levels, the survival of patients with either persistently-rising or consistently normal levels seemed to be more promising. For CYFRA21-1, both early-rising and later-rising trends were observed, indicating a prognosis inferior to that of individuals with normal-level trajectory. Likewise, for NSE, patients with persistently-rising or persistently-descending trends showed no significantly survival difference. However, in comparison with the status of driver genes, receiving radiotherapy and targeted therapy, the dynamic changes in STM levels lacked independent prognostic significance. Further analysis indicated that among BM patients lacking key driver genes, NSE trajectory (P<0.05), CYFRA21-1 trajectory (P<0.05) and receiving chemotherapy (P<0.001) were independent prognostic factors. Baseline levels of serum CYFRA21-1, CEA and NSE, as well as status of key driver genes are recommended for evaluating BM patients' outcome. Dynamic changes of STMs during disease course were not significantly associated with the final outcome of BM patients.

The association between introduction of the micro-axial flow pump Impella in hospitals and in-hospital mortality in patients treated with extracorporeal membrane oxygenation: interrupted time-series analyses.

The micro-axial flow pump Impella, a new mechanical circulatory device for cardiogenic shock, is still only available in a limited number of hospitals, due to the facility certification requirements and insufficient evidence of the benefit of introducing Impella in hospitals. This study aimed to evaluate the impact of introducing Impella in hospitals on in-hospital mortality of patients treated with extracorporeal membrane oxygenation (ECMO). Using a nationwide Japanese inpatient database, we identified patients who received ECMO during hospitalization between 1 April 2014 and 31 March 2021. A hospital-level propensity score-matched cohort was created matching hospitals that introduced Impella (exposure group) to those that did not introduce Impella (control group). The inclusion period in each hospital was divided into two time periods according to the time of Impella introduction in the exposure group and the corresponding hospital in the control group (before and after exposure). The primary outcome was in-hospital mortality. Uncontrolled and controlled interrupted time-series analyses involved before-after exposure comparison and exposure-control comparison. Out of 34,379 eligible patients, we created a matched cohort of 8351 patients from 86 hospitals with Impella introduction (exposure group) and 7230 patients from 86 hospitals without Impella introduction (control group). In-hospital mortality before and after exposure was 62.5% and 59.3, respectively, in the exposure group; and 66.8% and 63.7%, respectively, in the control group. Uncontrolled interrupted time-series analysis showed no significant level change or trend change in the before-after exposure comparison in both the exposure and the control groups. Controlled interrupted time-series analysis also showed no significant level change (-0.01%; 95% confidence intervals -5.36% to + 5.33%) or trend change (+ 0.10%, -0.30% to + 0.40%) after exposure in the exposure-control comparison. This nationwide inpatient database study showed no association between Impella introduction in hospitals and in-hospital mortality of patients who underwent ECMO. Because this study confined itself to analze of the impact of the introduction of Impella solely at the hospital level, further detailed studies are warranted to assess its efficacy at the patient level.

Comparison GDP and conventional CPB impact on metabolism in cardiac center Sardjito general hospital

Abstract* Background Goal-directed perfusion (GDP) aims to balance oxygen delivery (DO2) and consumption (VO2) in cardiac surgery. Elevated lactate during CPB is common and linked to higher morbidity and mortality. Evaluating lactate with base excess (BE) is vital due to their relationship. Reducing severe BE and lactate predicts cardiac surgery outcomes better. Methods Fifty adult patients undergoing cardiac surgery with CPB were randomly assigned to either the GDP group or the conventional group. In the GDP group, the priming solution was adjusted to target a hematocrit (HCT) level of 24 to 27% with a pump flow of 1.8 to 2.2 L/min/m2 to maintain mean arterial pressure (MAP) between 60 and 65 mmHg. The primary outcomes was oxygen delivery index (DO2i). Results There were increasing trends in lactate levels and decreasing trends in BE levels at all timeframes. The GDP mean difference of lactate [1.504 (1.52); p &lt; 0.001] and BE [-0.87 (2.93); p = 0.22] levels showed better value in the GDP group, with statistically significant increased values in the control group for BE [-1.667 (2.93); p = 0.017] and lactate levels [2.215 (2.919); p &lt; 0.001]. The postoperative outcome showed a significant difference in AKI and ventilator time. Conclusions The GDP low flow CPB compared with conventional flow CPB maintained DO2 matched with VO2 with a better clinical values in the lactate and BE levels and significantly lowered AKI and ventilator duration in cardiac surgery.

Arctic and Southern Ocean polar sea level maps and along-tracks from multi-mission satellite altimetry from 2011 to 2021

Polar sea surface height observation by radar altimeters requires missions with high-latitude orbit and specific processing to observe the sea-ice-covered region within fractures in the ice. Here, we combine sea surface height estimates from different radar satellites over the ice-free and ice-covered polar oceans to create cross-calibrated along-tracks and gridded products over the Arctic Ocean (2011–2021) and the Southern Ocean (2013–2021). The sea surface height from our regional polar products is in great agreement with tide gauges and bottom pressure recorders at monthly timescales in seasonally to year-round ice-covered regions. Thanks to the use of several missions and the mapping strategy, our multi-mission products have a greater resolution than mono-mission products. Part of the sea level variability of the Arctic Ocean product is related to the Arctic Oscillation atmospheric circulation. At long term, the Arctic altimetry sea level is coherent with in-situ steric height evolution in the Beaufort gyre, and negative sea level trends over the 10-year period are observed in the East Siberian slope region, which may be related to the local freshwater decrease observed by other studies. Our regional polar sea level products are limited by current understanding of the sea-ice lead measurements, and homogenization of these polar products with global sea level products needs to be tackled.

Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series

Non-stationary count time series characterized by features such as abrupt changes and fluctuations about the trend arise in many scientific domains including biophysics, ecology, energy, epidemiology, and social science domains. Current approaches for integer-valued time series lack the flexibility to capture local transient features while more flexible models for continuous data types are inadequate for universal applications to integer-valued responses such as settings with small counts. We present a modeling framework, the negative binomial Bayesian trend filter (NB-BTF), that offers an adaptive model-based solution to capturing multiscale features with valid integer-valued inference for trend filtering. The framework is a hierarchical Bayesian model with a dynamic global-local shrinkage process. The flexibility of the global-local process allows for the necessary local regularization while the temporal dependence induces a locally smooth trend. In simulation, the NB-BTF outperforms a number of alternative trend filtering methods. Then, we demonstrate the method on weekly power outage frequency in Massachusetts townships. Power outage frequency is characterized by a persistent low level trend with occasional spikes. These illustrations show the estimation of a smooth, non-stationary trend with adequate uncertainty quantification.

Disentangling the effects of meteorology and emissions from anthropogenic and biogenic sources on the increased surface ozone in Eastern China

China's Clean Air Actions have substantially improved ambient PM2.5 air quality since 2013. However, ozone (O3) pollution in urban areas has worsened in recent years, particularly in the eastern region. The formation of O3 in these high emission areas is highly complex and regulated by numerous factors. Utilizing the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), this study conducted a comprehensive analysis through nine sensitivity experiments for the years 2013 and 2017, aimed at disentangling the relative contributions of major factors (e.g., meteorological factors, anthropogenic emissions, biogenic emissions, and aerosol feedback mechanisms) to the observed O3 concentration trends in Jiangsu, a developed region of China with increasing trend of O3 level. Our findings indicate a pronounced increase in mean daily maximum 8-h average (MDA8) O3 levels in the economically vibrant southern Jiangsu, contrasted with a decrease in the less developed northern regions. The study identifies anthropogenic emissions change as the primary driver of O3 variations, with significant impacts also attributed to meteorological conditions and aerosol feedback effects, while biogenic emission shifts play a lesser role. In terms of meteorological factors, we discovered that the alteration in meteorological thermal factors (enhanced solar radiation and temperatures) in 2017, compared to 2013, exerted a more pronounced influence on the formation of O3 than the change in thermally driven dynamic factors (boundary layer height and wind speed). Moreover, the study observes a shift in O3 formation sensitivity from VOC-sensitive to transitional or NOX-sensitive regimes, signifying a notable transformation in the regional atmospheric chemistry conducive to O3 generation. Aerosol feedback effects, through complex pathways including photolysis rate alterations and modifications in the vertical O3 distribution, further compound the challenge of mitigating O3 levels. Our research underscores the necessity for adaptive, region-specific strategies to mitigate O3 pollution, providing potential insights for policymakers to formulate effective control measures.

Study on the Coupled Coordinated Development of New Urbanization and Urban Resilience in Huaihe River Basin

The coupled and coordinated development of new urbanization and urban resilience can promote the disaster response, disaster resistance and high-quality development of urban agglomerations in the Huaihe River Basin. The article constructs a new urbanization system and a chain-type urban resilience evaluation system with the mechanism of "pressure-feedback", selects the central city of Huaihe River Basin as the research object, and measures the new urbanization and urban resilience level and change trend of the central city of Huaihe River Basin in 2012-2021 with the help of the coupling coordination model. Using the entropy value method, we measured the new urbanization and urban toughness level and the trend of change of the central cities in Huaihe River Basin from 2012 to 2021, measured the type of city cluster coupling coordination and its internal factors with the help of the coupling coordination model, and analyzed the coupling coordination relationship between the two.

Serum uric acid-lowering effect of sacubitril/valsartan in hypertensive patients: evaluation by switching from angiotensin II receptor blockers.

Since hyperuricemia is a risk factor for cardiovascular disease and chronic kidney disease, it is necessary to pay attention to trends in uric acid levels when treating hypertensive patients with drugs. The present study investigated the effect of switching from angiotensin II receptor blocker (ARB) to sacubitril/valsartan on serum uric acid levels in treated hypertensive patients and further examined what factors could be associated with its effect. In 75 hypertensive patients under treatment with at least one antihypertensive agent including ARB, clinic blood pressure and biochemical parameters were assessed before and after drug switching to sacubitril/valsartan (200 mg/day). Clinic SBP and DBP significantly decreased after drug switching to sacubitril/valsartan (P < 0.0001, respectively). Serum creatinine, estimated glomerular filtration rate (eGFR), and urinary protein did not change after switching to sacubitril/valsartan, but serum uric acid significantly decreased (5.70 ± 1.44 to 5.40 ± 1.43 mg/dl, P = 0.0017). The degree of uric acid lowering was greater in patients switching from ARB plus diuretic than in those switching from ARB, but switching to sacubitril/valsartan from ARB only (except losartan) also significantly decreased uric acid levels. In all subjects, the change in serum uric acid after drug switching to sacubitril/valsartan was closely correlated with the change in eGFR (r = -0.5264, P < 0.0001). Our findings indicate that switching from ARB to sacubitril/valsartan reduces serum uric acid levels in hypertensive patients and suggest that this uric acid-lowering effect may be associated with an increase in eGFR.

Tiber River-Driven Chlorophyll-a and Total Suspended Matter Dynamics and Their Impacts along the Central Tyrrhenian Sea Coast: A Sentinel-2 Approach

Chlorophyll-a (Chl-a) and Total Suspended Matter (TSM) are key health indicators of the coastal ocean and seas. The former is linked to primary productivity, while the latter is associated with water quality; both are influenced by change in climate. Recent studies have highlighted a declining trend in Chl-a levels along the Mediterranean coastal region. River discharge plays an important role in regulating the coastal Chl-a concentration levels. The present research primarily focuses on understanding the significance of Tiber River −driven spatial dynamics of Chl-a and TSM along the central Tyrrhenian Sea coasts. The research also focuses on evaluating the applicability of Sentinel-2 and identifying a suitable method for estimating Chl-a and TSM from Sentinel-2. Neural networks and dark spectrum fitting techniques were applied using multiple algorithms to estimate the dynamic distribution of Chl-a and TSM driven by the Tiber River in the study area. Multiple statistical analyses were performed, and statistically significant relationships were observed. The Case-2 Regional Coast Colour Neural Network (C2RCC-Net) outperformed all other algorithms, with an R2 value of 0.903 for Chl-a and an R2 value of 0.966 for TSM. Furthermore, the present research also identified a positive pixel to pixel spatial correlation between Chl-a and TSM in all four seasons, highlighting the positive impact of Tiber River on maintaining Chl-a levels along the coasts of Tyrrhenian Sea. This stands in contrast with the negative trend seen in the Mediterranean scale.