Indicator Of State Research Articles

Rotifers as indicators of trophic state in small water bodies with different catchments (field vs. forest)

AbstractCurrent methods for assessing lake trophic status using zooplankton are well-established, but there is a lack of approaches for small, shallow water bodies. This study addresses the gap by analyzing rotifer communities across 100 ponds in different catchment areas (field and forest). We hypothesized that the Rotifer Trophic State Index (TSIROT) is an effective tool for assessing trophic state, yielding comparable results to the Carlson TSI index. We also proposed that variations in physical and chemical parameters would significantly affect rotifer composition, impacting the trophic state assessment. Field ponds, exposed to agricultural runoff, exhibited higher trophic states and a predominance of detritivorous species. In contrast, forest ponds, with extensive macrophyte coverage, maintained lower trophic states and supported diverse algivorous species, particularly of littoral and mesotrophic origin. This confirmed our hypothesis that catchment type strongly influences trophic state and rotifer communities. We demonstrated that rotifer traits—abundance, species diversity, habitat type preferences and proportions of eutrophic versus mesotrophic species—along with TSIROT, are effective in assessing water quality in ponds. Overall, the results validate TSIROT as a reliable tool for small water bodies, comparable to Carlson’s TSI index, and highlight the importance of catchment type in influencing water quality.

Health-related quality of life among extrapulmonary tuberculosis patients and inequalities by disease manifestations: a longitudinal study analysing the impact of TB treatment.

To understand the impact of extrapulmonary tuberculosis (EPTB) and its treatment on quality of life, we analysed patient-reported outcome measures (PROMs) among presumptive ETPB patients. EuroQol's five-dimensional three-level (EQ-5D-3L) questionnaire and the Visual Analogue Scale (EQ-VAS) were used to measure PROMs by 274 presumptive EPTB patients at pre- and post-treatment stages. The patients were categorised as TB and non-TB by using a composite reference standard. Following the EuroQol suggested analysis methods, we calculated the health utility summary measure at the pre- and post-treatment stages. The health state density curve and index were used to analyse inequality in reported health profiles. We investigated factors associated with EPTB patients' health utility through multivariable regression at the pre-treatment stage. The analysis of PROMs showed both physical (mobility, self-care, usual activities) and psychological (pain, discomfort, anxiety & depression) health affected by all EPTB manifestations (lymphadenitis, pleuritis, meningitis and others). Moreover, we found inequality in reported health profiles across disease manifestations at pre- and post-treatment stages. Post-treatment, we found improvement in PROMs and no reports of extreme-level health problems. However, some problems persisted across all dimensions of EPTB manifestations. We found 100% improvement in pleuritis and meningitis manifestations. Socioeconomic status, type of health facility attended, and patients' working capacity were associated with health utility. Despite post-treatment improvement in health, inequality of reported health states by EPTB manifestations persisted, though decreased. This highlights that holistic patient- and health system-level interventions addressing the impact of illness should consider EPTB by its manifestations, not as a single disease entity.

Assessment of water quality and trophic state using a multipara-metric index-based approach for Lake Guineo, Lake Carraizo and Lake Cidra, Puerto Rico

To ensure a safe drinking water supply, it is necessary to protect water quality. The proposed project aims to understand water quality data analyzed from a temporal and spatial perspective on the following physiochemical parameters: DO, pH, temperature, Secchi disc turbidity, conductivity, nitrate, chlorophyll α & phosphate. The results provide information to evaluate the status of the water quality and its suitability for human consumption. These variables related to the general characteristics of water quality and trophic level were used for calculation of a water quality index (WQI) and trophic state index (TSI) to assess 3 lakes in Puerto Rico: Lake Cidra, Lake Carraizo and Lake Guineo. Presence or absence of macrophytes were monitored during six months in the three reservoirs in Puerto Rico as well as the parameters mentioned above. The objective of this investigation is to discuss the trophic state and water quality in 3 different trophic state reservoirs in Puerto Rico. Results were correlated with the density of the macrophyte species, Eichhornia crassipes. Variations of water in situ multiparametric sampling were recorded for 6 months. Thus, integrating components that define the status of reservoirs using multiparameter measurements from various perspectives; a better diagnosis is expected regarding the water quality assessment. This investigation aims to undertake a comprehensive study of water quality by implementing the WQI and TSI indices, considering physical, chemical, and biological parameters with respect to eutrophication and ecological considerations for three reservoirs in the Puerto Rico, providing information regarding the quality of water and trophic state of the chosen reservoirs. Overall WQI results revealed that the water quality improved after the Hurricane Fiona’s occurrence. Trophic State Index after the hurricane showed slight fluctuations in the reservoirs.

Comparative Evaluation of Encephalon State Index and Bispectral Index in Monitoring the Depth of Anesthesia during the Surgical Anesthesia Stage

Evaluate the performance of the encephalon state index (ESI) in depth of anesthesia monitoring during clinical surgery, compared with the bispectral index (BIS). ESI and BIS data were collected from 60 patients in a single-center clinical trial to compare their efficacy in measuring the depth of anesthesia. Consistency analysis revealed mean differences and standard deviations of －0.18 ± 5.42 and －0.11 ± 6.51 between ESI and BIS for awake and anesthetized states, respectively. Correlation analysis showed a correlation coefficient of 0.92 throughout the operative period. Prediction probability analysis indicated that both ESI and BIS had prediction probabilities of 0.97, effectively predicting anesthesia status. ESI and BIS show good equivalence in monitoring depth of anesthesia during clinical surgery, which meet the requirements of clinical anesthesia.

Trophic status analysis and nutrient source allocation in urban lakes of Dhaka, Bangladesh: a comprehensive approach to eutrophication monitoring.

Urban lakes are vital to ecosystems, providing essential services and recreational spaces in densely populated megacities. However, rapid urbanization and anthropogenic activities, particularly eutrophication driven by macronutrient accumulation, severely threaten these water bodies. This study underscores the critical need for continuous trophic state monitoring to sustain fish, wildlife, and plant ecosystems. The trophic status of Dhanmondi, Gulshan, and Banani Lakes in Dhaka City, Bangladesh, was assessed using Carlson's Trophic State Index (CTSI) and Burn's Trophic Level Index (BTLI), based on chlorophyll a (Chl-a), total phosphorus (TP), Secchi disc depth (SD), and total nitrogen (TN). Water samples from five sites per lake were analyzed for physicochemical parameters from June 2023 to May 2024, revealing monthly and seasonal variations. The study revealed that Dhanmondi Lake's CTSI ranged from 69.3 to 79.5 (June 2023 to March 2024), indicating initial "Eutrophic" conditions progressing to "Hypereutrophic." Gulshan Lake consistently showed "Hypereutrophic" conditions, with CTSI values between 84.1 and 97.3. Banani Lake was "Eutrophic" in June and July 2023, transitioning to "Hypereutrophic" from August 2023 to May 2024 (84.1-97.7). The Trophic Level Index (TLI) showed the "Hypereutrophic" status with a progressive monthly escalation for all the lakes. The Water Quality Index (WQI) categorized the lakes as "Poor" to "Very Poor" from June to August 2023, becoming "Unsuitable" from September 2023 to May 2024, indicating significant anthropogenic stress. Principal component analysis (PCA) identified nutrient infiltration, soil erosion, waste discharge, and organic residue accumulation as key pollution drivers. The study advocates for a multi-sectoral strategy to regulate nutrient loading and mitigate eutrophication, emphasizing best management practices for urban lake conservation.

Hydrological Connectivity Evolution of Yellow River Delta Wetland Based on Hydrological Connectivity Pattern Analysis

Water is a limiting factor for the ecological protection and high-quality development of the Yellow River Delta. At present, the classification system for wetland hydrological connectivity patterns is imperfect and cannot meet practical management needs. Therefore, this paper constructs a hydrological connectivity classification index system based on three aspects—the pressure index, state index, and response index based on the “Pressure-State-Response” model and the analytic hierarchy process (AHP)—and then uses the network connectivity index to describe the dynamics of hydrological connectivity in the Yellow River Delta wetland under different connectivity patterns. The results show that (1) the hydrological connectivity patterns in the Yellow River Delta can be divided into five types as follows: artificial freshwater connectivity, artificial saltwater connectivity, natural–artificial freshwater connectivity, artificial–natural saltwater connectivity, and natural freshwater–saltwater connectivity. Among these types, the artificial freshwater connectivity is the most widely distributed, accounting for approximately 55.14% of the study area, followed by the artificial saltwater connectivity (24.68%), natural saltwater connectivity (9.45%), natural–artificial freshwater connectivity (8.1%), and natural freshwater–saltwater connectivity (2.63%). (2) From 1990 to 2020, the network closure (α), line point rate (β), and network connectivity (γ) indices of the Yellow River Delta wetland decreased from 0.95, 2.85, and 0.96 to 0.75, 2.51, and 0.83, respectively, and the overall connectivity level remained at a high level. The α, β, and γ values of the artificial freshwater connectivity pattern decreased from 0.93, 2.86, and 0.95 to 0.68, 2.36, and 0.79 and became the type with the lowest connectivity. The α, β, and γ indices of the natural–artificial freshwater, artificial saltwater, natural saltwater, and natural freshwater–saltwater connectivity patterns increased. Among these patterns, the artificial saltwater connectivity increased from 0.74, 2.37, and 0.83 to 0.93, 2.80, and 0.95 and had the highest connectivity. This paper has certain value and significance for wetland hydrology management.

Impact of climate changes on agroresources of Ukrainian Polissia based on geospatial data

Aim. To determine the patterns of the climate change impact on the transformation of agricultural production and the ecosystem of Ukrainian Polissia in terms of time and space. Methods. Satellite and statistical data for the last 40 years (1982–2022) were used. The mean temperature for the vegetation period was defined by the sum of radiation temperatures of the terrestrial surface, calculated using the data of the infrared range (10.3–11.3; 11.4–12.4 μm) of the high-precision AVHRR radiometer of artificial meteorological Earth's satellites, NOAA, and the precipitation dynamics – using the data of ERA5 ECMWF/Copernicus Climate Change Service. The impact of climate change on the vegetation state and phenological parameters, including the beginning, end, and duration of the vegetation season, was determined by the normalized difference vegetation index (NDVI), obtained using the data of the infrared (0.72–1.1 μm) and red (0.58–0.68 μm) ranges of the AVHRR radiometer on the website of STAR NESDIS NOAA. Crop yields and the dynamics of sown areas were determined by the data from the State Statistics Service of Ukraine. The information about the dynamics of the forest cover was obtained using the Global Forest Watch satellite data. To evaluate the impact of climate change on Ukraine's forests, the investigation was conducted on burnt forest areas, using the MCD64A1 6.1 index, developed on the basis of the MODIS satellite data. Results. According to the satellite data, the radiation temperature of the terrestrial surface during the growing period increased by 2.2 ºС on average in the territory of Ukrainian Polissia over the last 40 years. There is a regional difference in the temperature regime observed in the direction from west to east. In the territory of western Polissia, the increase in the temperature of the terrestrial surface in recent decades was within the range of 1.2–1.6, and in the central and eastern parts – within 2.3–2.9 ºС. Due to the warming, the duration of the growing period was extended by 21–35 days, mostly because of earlier spring onset. There is a descending trend in the average annual precipitation amount down to 20–30 mm, which is especially notable for central and eastern Polissia. The warming was the reason for the introduction of the crops, new for this region, into the structure of sown areas, especially corn and sunflower, which had a generally positive effect on the vegetation state by the NDVI index, which increased from 0.30 in 1982–1992 to 0.36 in 2012–2022 on average. The crop yield increased accordingly, and according to the statistical data for the recent years, amounted to: corn – 7.0–9.5 t/ha, winter wheat – 4.5–5.0, and sunflower – 1.5–2.0 t/ha, which is close to the level of their yield on chornozem. At the same time, due to climate change and the transformation of agricultural activity, there has been a higher risk of deterioration in the ecological state of typical Polissia landscapes, droughts, and soil degradation. According to the results of the analysis of twenty-two years of the dynamics in forest fires, the largest areas of burnt forests were registered in 2012 (694.30 sq.km), 2015 (1,078.81 sq.km), and 2020 (776.27 sq.km), which demonstrated the increase in fires during the recent decade along with the tendency towards longer fire hazard period. Conclusions. The increase in the temperature of the terrestrial surface of the Ukrainian Polissia during the growing period and the lengthening of the growing period created the conditions for corn and sunflower to be introduced into the arable areas, which had a positive impact on the vegetation state index, NDVI. As a result of these transformations both in the sown area of these crops and their yield, Polissia is becoming a new grain-oil belt of Ukraine. Concurrently, there are higher risks associated with maintaining high performance of agroecosystems and the increase in the risks for soil degradation processes, the deterioration of the ecological state of wetlands and forests, as well as drying-out of small rivers and lakes. Balancing the high yield of modern agroecosystems and safe nature management requires systemic measures in adapting the agricultural activity and nature management to new climatic conditions, which requires implementing the management of soil, water, and bio-resources, achieving optimal parameters of fertility for mineral and peaty-swampy soils. Reconstructing current land reclamation systems to optimize water regimes for the agricultural lands and protect typical Polissia ecosystem is needed.

Effects of Tirzepatide on the Clinical Trajectory of Patients with Heart Failure, a Preserved Ejection Fraction, and Obesity.

Patients with heart failure, a preserved ejection fraction (HFpEF), and obesity have significant disability and suffer frequent exacerbations of heart failure. We hypothesized that tirzepatide, a long-acting agonist of glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptors, would improve a comprehensive suite of clinical endpoints, including measures of health status, functional capacity, quality of life, exercise tolerance, patient well-being, and medication burden in these patients. 731 patients in class II-IV heart failure, ejection fraction ≥50%, and body mass index ≥30 kg/m2 were randomized(double-blind) to tirzepatide(titrated up to 15mg subcutaneously weekly)(n=364) or placebo(n=367), added to background therapy for a median of 104 weeks (Q1=66, Q3=126 weeks). tirzepatide reduced the combined risk of cardiovascular death or worsening heart failure and improved Kansas City Cardiomyopathy Questionnaire Clinical Summary Score(KCCQ-CSS). The current expanded analysis included sensitivity analyses of the primary endpoints, 6-minute walk distance(6MWD), EQ-5D-5L health state index, Patient Global Impression of Severity Overall Health(PGIS), NYHA class, use of heart failure medications, and a hierarchical composite based on all-cause death, worsening heart failure, and 52-week changes in KCCQ-CSS and 6MWD. Patients were aged 65.2±10.7, 53.8%(n=393) were female; BMI 38.2±6.7kg/m2, KCCQ-CSS 53.5±18.5, 6MWD 302.8±81.7meters, and 53%(n=388) had a worsening heart failure event in the prior 12 months. Compared with placebo, tirzepatide produced a consistent beneficial effect across all composites of death and worsening heart failure events, analyzed as time-to-first-event (hazard ratios 0.41-0.67). At 52 weeks, tirzepatide increased KCCQ-CSS 6.9 points (95%CI, 3.3, 10.6, P<0.001), 6MWD 18.3 meters (95%CI, 9.9, 26.7, P<0.001) and EQ-5D-5L 0.06 (95%CI, 0.03, 0.09, P<0.001). The tirzepatide group shifted to a more favorable PGIS (proportional odds ratio 1.99 (95%CI, 1.44, 2.76) and NYHA class (proportional odds ratio 2.26 (95%CI, 1.54, 3.31), both P<0.001 and required less heart failure medications (P=0.015). The broad spectrum of effects was reflected in benefits on the hierarchical composite (win ratio 1.63, 95%CI, 1.17, 2.28;P=0.004). Tirzepatide produced a comprehensive, meaningful improvement in heart failure across multiple complementary domains; enhanced health status, quality of life, functional capacity, exercise tolerance and well-being; and reduced symptoms and medication burden in patients with HFpEF and obesity.

Particle-attached bacterial communities are more susceptible to seasonal environmental fluctuations in mesotrophic than eutrophic tropical reservoirs.

Particle-attached bacterial (PAB) communities play pivotal roles in water organic matter decomposition, nutrient cycling, and the natural self-purification processes. However, we know little about their responses to seasonal environmental fluctuations, under eutrophication in reservoir ecosystems. In this study, we studied the shifts of PAB communities to seasonal environmental fluctuations in tropical China. Trophic state index (TSI) indicated that the studied reservoirs ranged from mesotrophic to eutrophic state with a gradual increase in TSI from 31 to 58. In eutrophic reservoirs, Cyanobacteria, especially Raphidiopsis raciborskii, significantly increased in its relative abundance from wet to dry season, but Synechococcales and Microcystaceae decreased. In contrast, the relative abundance of Clostridia, Bacilli, Coriobacteriia, Enterobacteriales, and Vibrionales were more susceptible to seasonal environmental fluctuations in mesotrophic than eutrophic reservoirs. PAB co-occurrence relationships in mesotrophic reservoirs varied more greatly in response to seasonal environmental fluctuations, compared with eutrophic reservoirs, in terms of topological properties of connectedness, average degree, robustness and vulnerability. Our results further demonstrated that the seasonal stability of PAB co-occurrence relationships was strongly correlative with TSI through mediating key bacterial taxa and community biodiversity. We proposed that eutrophication dramatically reduced the seasonal variation of PAB community compositions and co-occurring relationships in reservoir ecosystems.

Chloroplast redox state mediates the short-term regulation of leaf isoprene emission.

Isoprene emission from plants not only confers thermoprotection, but also has profound impacts on atmospheric chemistry and the climate. Leaf isoprene emission is dynamically regulated in response to various environmental cues, but the exact mechanism remains unclear. It has been proposed that chloroplast redox/energy state or cytosolic phosphoenolpyruvate carboxylation regulates isoprene biosynthesis and consequently emission, and the latter has been disproven by recent literature. However, the possible covariation of chloroplast redox/energy state and cytosolic PEP carboxylation in previous experiments impedes the independent examination of the former hypothesis. We developed an index of chloroplast redox state and showed its validity by examining the relationships between the index and the rates of certain processes which have been demonstrated to be affected or unaffected by chloroplast redox/energy state. According to the former hypothesis alone, we modelled how isoprene emission rate (IER) responded to different short-term environmental variations, and compared theoretical predictions with experimental data. We predicted that no matter which environmental factor was varied, IER would respond to the index of chloroplast redox state with similar velocities. We found that IER showed comparable increasing rates in response to the increase in the index of chloroplast redox state caused by different environmental variations (0.0479, 0.0439 or 0.0319 when ambient CO2 concentration, photosynthetic photon flux density or leaf temperature was varied, respectively). These results support that chloroplast redox/energy state regulates isoprene biosynthesis, leading to dynamic isoprene emission in nature.

Indices of carbohydrate metabolism and antioxidant system state during germination of aged wheat and triticale seeds treated with H(2)S donor

Hydrogen sulfide is a gasotransmitter molecule involved in the realization of many functions of the plant organism, including seed germination. Aging of seeds is shown to be accompanied by oxidative stress and reduced germination. The effect of exogenous hydrogen sulfide on the germination of aged cereal seeds has not been studied. The aim of the work was to estimate the effect of priming with NaHS as an H2S donor on wheat and triticale seeds previously subjected to natural aging. Seeds of winter wheat (Triticum aestivum) and winter ×Triticosecale were stored indoors for 4 years at fluctuating temperature and humidity. Aged seeds were treated with 0.2-5 mM NaHS solution for 3 h and germinated in Petri dishes for 3 days. The hydropriming­ treatment was used as a control. Amylase activity in grains, the biomass of shoots and roots, the content of total sugars, H2O2, lipid peroxidation products and anthocyanin, and the activity of antioxidant enzymes in seedlings were determined. It was shown that after the treatment with H2S donor, the activities of catalase and guaiacol peroxidase, as well as the content of anthocyanins were increased only in triticale seedlings. Nevertheless, treatment of seeds of both cereal species was followed by enhanced growth of shoots and roots, increase in amylase and superoxide dismutase activities, decrease in H2O2 and MDA contents, and elevated accumulation of sugars in shoots. It is concluded that the increase in germination of aged cereal seeds under the influence of H2S donor is caused by increased mobilization of reserve carbohydrates and modulation of antioxidant system activity. Such treatment can be considered as an effective tool to improve seedling growth. Keywords: amylase, antioxidant system, hydrogen sulfide, oxidative stress, seeds aging, total sugar, Triticosecale, Triticum aestivum

Remote Sensing Evaluation of Trophic Status in the Daihai Lake Based on Fuzzy Classification

Trophic state index (TSI) is a critical ecological and environmental issue in water resource management that has garnered significant attention. Given the complexity of optical characteristics in aquatic environments, this study employs fuzzy classification methods (FCM) and composite nutrient status indices to meticulously classify in-situ remote sensing reflectance data, aiming to develop evaluation models for different nutrient status categories to facilitate the assessment of the Daihai River in Inner Mongolia, China. Subsequently, we applied this model to MSI data to analyze the nutrient status of Daihai Lake from 2016 to 2021. Furthermore, a structural equation model (SEM) was utilized to explore the primary driving factors influencing nutrient status. The results indicated that the water bodies in Daihai Lake can be broadly classified into three categories, with the nutrient status models demonstrating robust performance for each category (R2 = 0.80, R2 = 0.83, and R2 = 0.74). Comparisons were made between nutrient status accuracies obtained through the NCM and FCM based on measured data, yielding R2 values of 0.74 and 0.85, respectively. Furthermore, the TSI results derived from MSI inversion were validated, with NCM achieving an R2 of 0.49, RMSE of 6.88, and MAPE of 10.36%, while FCM exhibited an R2 of 0.55, RMSE of 8.89, and MAPE of 13.18%. An SEM–based analysis revealed that over the long term, human activities exerted a more substantial impact on eutrophication in Daihai Lake, while climatic factors played an accelerating and reinforcing role. These results are consistent with prior research in the Daihai area, indicating a state of mild eutrophication and the potential of the fuzzy classification method and comprehensive trophic status index method in eutrophication assessment.

Биологическая активность горных почв Западного Кавказа после сведения леса

A study of a set of indicators characterizing the ecological state of forest soils in the mountains of the North-Western Caucasus under broad-leaved and mixed forests has been conducted. The aim of the study has been to assess changes in the biological activity of soils of different genesis after deforestation. The objects of the study have been rendzina, gray forest and gray forest-steppe soils of forest and disturbed ecosystems of the Republic of Adugeya at altitudes from 500 to 1635 m above sea level. Logging plots of different ages (from 10 to 40 years old) after deforestation have been considered. The analyzed indicators have included: the content of total and active carbon, the activity of soil enzymes (catalase, invertase, dehydrogenase, urease, phosphatase), the number of bacteria, as well as an integral index of the biological properties of the soil. The correlation of these indicators with hydrothermal conditions, density of soil structure, penetration resistance, medium reaction, hydrolytic acidity, total absorbed bases and other soil parameters has been evaluated. The level of biological activity of soils in logging areas in the low mountains of Adygea depends on the relief and the timing of restoration after deforestation. Even after several decades of restoration of woody vegetation on the slopes of 12–15° there is no complete return of biological activity to the values of Greyic Phaeozem Eutric of the background forest area. 40 years after logging, the integral index of biological properties of gray forest soil is still 17 % lower than in the control plot. The biological activity of post-forest soils can change in three main directions. On steep slopes, with severe disturbance of the soil and vegetation cover due to the operation of heavy machinery, the integral index of the biological properties of soils decreases by 25–40 % or more without a tendency to recovery. At an average level of disturbance in plots with slight slopes, after an initial decrease, the soils are restored to control values. Restorative successions with intensive development of herbaceous flora and the turf process with slight disturbance can lead to an increase in biological activity above the control values in just 2–3 years. Comprehensive biodiognostic studies using an integral index of the biological state of the soil have revealed, in general, increased stability of low-mountain terrain soils (gray forest and forest-steppe) compared to the soils of the middle mountains of Adygea (rendzina soils). The main degradation factor that reduces the biological activity of soils disturbed by logging is erosion.

Electroencephalographic and Cardiovascular Assessments of Isoflurane-Anesthetized Dogs.

This study investigated the use of frontal electroencephalography (EEG) to monitor varying levels of isoflurane anesthesia in dogs. The patient state index (PSI), burst suppression ratio (SR), and waveforms, were continuously recorded while mean arterial blood pressure (MBP), heart rate, responses to electric stimuli, and subjective anesthetic "depth" were assessed every 3 min. At deep anesthesia (2.5× MAC - 3.2%), the PSI (6.5 ± 10.8) and MBP (45.6 ± 16.4 mmHg) were the lowest, and SR was the highest (78.3 ± 24.0%). At 1× MAC (1.3%), the PSI and MBP increased significantly to 47.8 ± 12.6 and 99.8 ± 13.2, respectively, and SR decreased to 0.5 ± 2.5%. The EEG was predominantly isoelectric at 2×-2.5× MAC, indicating unconsciousness and unresponsiveness. As anesthesia lightened, waveforms transitioned to flatter and faster activity patterns with a response to noxious stimuli, suggesting regained consciousness. The PSI and MBP exhibited a stronger correlation (ρ = 0.8098, p = 0.001) than the relationship of PSI with heart rate (ρ = -0.2089, p = 0.249). Five of the six dogs experienced rough recovery, possibly due to high SR and low MBP. These findings suggest that EEG monitoring in dogs can be a valuable tool for the real-time tracking of brain states and can be used to guide the management of isoflurane anesthesia.

Electroencephalographic depression after abruptly increasing partial pressure of end-tidal carbon dioxide: a case series

BackgroundProlonged electroencephalographic depression during surgery is associated with poor outcomes for patients. However, the published literature on electroencephalographic depression caused by a sudden increase in the partial pressure of end-tidal carbon dioxide (PETCO2) is lacking.Case presentationWe report four patients who were scheduled for laparoscopic liver surgery under general anesthesia. During the process of EEG monitoring with Sedline, four patients experienced electroencephalographic depression closely after a sudden increase in PETCO2. The four patients showed that electroencephalographic depression mainly manifested as a slow in EEG frequency, a reduction in the amplitude and power of EEG, and a decrease in spectral edge frequency. Patient state index was elevated in three cases.ConclusionsTo summarize, our patients showed EEG depression when PETCO2 suddenly increased, which suggests that clinical doctors should be alert to electroencephalographic depression when the PETCO2 abruptly increases. EEG monitoring devices should be applied in patients with possible hypercapnia. Anesthesiologists must comprehensively interpret the raw EEG, spectral edge frequency, and density spectral array data, in addition to patient sedation index values.

Inter-annual variability in the phytoplankton abundance and community structure of a tropical monsoonal estuary in response to variable monsoonal patterns

The study elucidates the inter-annual and seasonal variability in the phytoplankton abundance and community structure concurrent to variable rainfall patterns in Chettuva, a tropical monsoonal estuary along the southwest coast of India. The phytoplankton community exhibited statistically significant inter-annual variation with a 1.2-fold increase in abundance (av. 19.44 ×104cellsL−1) in 2021 in comparison with 2019 (av. 15.30 ×104cellsL−1). A total of 87 phytoplankton species were observed during the study, among which Bacillariophyceae dominated with 52 species, followed by Dinophyceae (20 species), and to a lesser extent by Chlorophyceae (11 species) and Cyanophyceae (2 species). Phytoplankton community structure also showed variation, with 71 species contributing to the diversity in 2021 and 62 species in 2019. Though Bacillariophycea dominated during both years, the community was more diverse in 2021comparatively a more saline year Biddulphia sp. Coscinodiscus sp., Cyclotella striata, Melosira sulcata, Pleurosigma sp., and Skeletonema costatum were the diatoms common to both the years, though with varied abundance. Dinophyceae did not show a conspicuous change in community structure in both years, with mostly the same species contributing to the total phytoplankton population but showed slight variation in abundance. Cyanophycea was observed exclusively during the year 2021. The abundance and community structure of the species varied from year to year, but they also changed seasonally, with lower numbers observed during the monsoon compared to the post-monsoon period in both years. CCA analysis identified two groups of phytoplankton assemblages in relation to the prevailing environmental conditions. The Group I species preferred lower temperature and salinity and elevated nutrient concentrations and they dominated during the monsoon season. Group II species preferred high saline well oxygenated, nutrient-poor waters and they dominated during the post-monsoon. Furthermore, the trophic state index analysis indicated mesotrophic conditions during the monsoon, while eutrophic conditions were observed in the post-monsoon period.

Evaluation for coarse aggregate distribution of asphalt mixtures based on the two-dimensional digital image analysis

Meso-structure is one of the major sources of macro-performance in asphalt mixtures. The research on aggregate distribution state is of great significance for the further improvement of asphalt mixture macro-performance. However, the variations of research methods among prior works hamper the deduction of the holistic potential and promising directions of coarse aggregate distribution analysis from current research findings. This work comprehensively verified the quantifying ability of aggregate distribution state indices and their correlation with rutting performance under an advanced digital image processing technique and a wide range of asphalt mixture types, and aims to provide a reference of the holistic potential and promising directions of coarse aggregate distribution analysis for subsequent research. To this end, eleven typical asphalt mixtures’ aggregate distribution state and rutting performance were measured, quantified, and correlated. The results show that Kpe nears or more than 0.56 can be the sign of coarse aggregates effectively interlocked while it nears or less than 0.26 is the opposite; Uarea nears or less than 2 % can be the sign of reaching a coarse aggregate distribution equilibrium; Δorien approaches 6.21 can be the sign of reaching a coarse aggregate orientation equilibrium; mixtures with a nominal maximum aggregate size of 10 mm are disabled in gathering contact chains. Moreover, these coarse aggregate distribution state quantifying indices proposed in existing research can indeed describe the meso-structural features of asphalt mixtures to a certain extent. However, these indices fail to capture the underlying meso-structural features relating to rutting performance and lead to limited applicability. Furthermore, the poor performance of these coarse aggregate distribution state quantifying indices in the global fitting mainly comes from their incompatibility with changes in nominal maximum aggregate size.

Comparative QSAR and q-RASAR modeling for aquatic toxicity of organic chemicals to three trout species: O. Clarkii, S. Namaycush, and S. Fontinalis

Oncorhynchus clarkii, Salvelinus fontinalis, and Salvelinus namaycush are vital trout species in North America, crucial for maintaining ecological balance, economic stability, and human health. These species thrive in cold, unpolluted waters and are highly vulnerable to contaminants. Given the rapid proliferation of industrial organic chemicals, traditional in vivo toxicity testing methods are inadequate to ensure timely and comprehensive risk assessments. Therefore, we employed in silico tools, namely Quantitative Structure-Activity Relationship (QSAR) and Quantitative Read-Across Structure-Activity Relationship (q-RASAR), to efficiently predict the aquatic toxicity of chemicals. Utilizing acute median lethal concentration (LC50) data from the US EPA’s ToxValDB, we developed the first-ever species-specific QSAR and q-RASAR models. The q-RASAR models outperformed traditional QSAR models by achieving higher internal and external statistical quality for each species. Key toxicity-determining descriptors included electrotopological state indices, autocorrelation descriptors, and similarity-based RASAR descriptors. For O. clarkii, the presence of chlorine atoms and rotatable bonds significantly influenced toxicity. S. fontinalis toxicity was strongly affected by polarizability, and van der Waals volumes, while S. namaycush showed sensitivity to weak hydrogen bond acceptors and topological complexity. The models predicted the toxicity of 1172 external compounds, identifying the most and least toxic chemicals for each species. This study not only offers the first comprehensive q-RASAR models for predicting trout species-specific toxicity but also provides novel insights into species-specific toxicological modes of action. The results contribute significantly to chemical screening and prioritization in aquatic risk assessments, effectively filling critical data gaps and advancing predictive modeling techniques.

Association of area-level broadband and non-small cell lung cancer diagnosis and guideline-concordant care in the US.

96 Background: Access to broadband is a social determinant of health facilitating connections with healthcare services and other resources and alleviating burdens of travel distance, time, and cost. We used nationwide data to examine the association of zip code-level broadband usage and stage at diagnosis, as well as the receipt of quality care among individuals newly diagnosed with non-small cell lung cancer (NSCLC). Methods: Individuals ≥18 years newly diagnosed with first primary NSCLC between April - December of 2019-2021, were identified from the National Cancer Database (January - March were excluded to match the COVID-19 timeframe in 2020). Broadband usage percentage (the percentage of individuals per zip code with access to fixed broadband at speeds of 25 Mbps/3 Mbps in 2020) were combined with the cohort based on individual’s residential zip code. Multivariable logistic regression models examined associations between broadband usage quartiles and stage at diagnosis, as well as the receipt of guideline-concordant care based on National Comprehensive Cancer Network guidelines, including surgery and radiation, ≥10 lymph nodes sampling, chemotherapy, and neoadjuvant chemoradiation (NACR). Analyses were conducted overall and stratified by metropolitan status and year, adjusting for age group, sex, race and ethnicity, comorbidity, distance to facility, state, and zip code-level social deprivation index (SDI). Results: Cohort included 305,198 individuals newly diagnosed with NSCLC. Individuals living in areas with the highest broadband usage were more likely to be aged 65-74 years, female, non-Hispanic White, with Medicare coverage, living in metropolitan and low SDI areas. In adjusted models, individuals living in areas with the highest broadband usage were more likely to be diagnosed with stage I NSCLC (adjusted odds ratio [AOR] = 1.10, 95% confidence interval [95%CI] = 1.01-1.20) and to receive guideline-concordant NACR (AOR = 1.38, 95%CI = 1.09-1.73) compared with those living in areas with the lowest broadband usage in 2020. When stratified by metropolitan status, associations of broadband and diagnosis and receipt of NACR were only observed among individuals living in non-metropolitan areas with medium-low and medium-high broadband usage, respectively (AOR = 1.15, 95%CI = 1.01-1.32; AOR = 1.80, 95%CI = 1.25-2.58). No significant associations were identified for other care modalities or during 2019 and 2021. Conclusions: Increased access to broadband usage is associated with earlier stage NSCLC diagnosis and receiving guideline-concordant NACR in 2020. Our results suggest that increased broadband access, combined with the expansion of telehealth services during the COVID-19 pandemic, may have improved telehealth utilization throughout 2020, leading to enhanced quality of cancer care, particularly benefiting individuals residing in non-metropolitan areas.

Assessment of mangrove health based on pressure–state–response framework in Guangxi Beibu Gulf, China

Mangroves, primarily found along tropical and subtropical coastlines, are crucial ecosystems that offer significant ecological services, including coastal protection, carbon sequestration, and biodiversity support. However, these ecosystems are under severe threat from human activities such as aquaculture, agriculture, and urban development, leading to deforestation and degradation. This study aims to develop a comprehensive framework for assessing the health of mangrove ecosystems using the Pressure-State-Response (PSR) model with annual temporal resolution from 2019 to 2023. It consists of three dimensions: Pressure (human activities and natural factors affecting the ecosystem), State (current condition of the ecosystem), and Response (efforts to mitigate adverse effects and restore health). This study incorporates innovative physical and structural parameters alongside traditional indicators to improve the accuracy of the assessment. The method offers advantages such as ease of measurement, low cost, early warning capabilities for ecosystem damage, and high sensitivity to ecological changes. It provides valuable insights for decision-makers and enhances the ability to detect trends in mangrove health over time through a large-scale, multi-temporal analysis. Using remote sensing techniques and the Analytic Hierarchy Process (AHP), we identified 12 key indicators. The AHP method was used to determine the weight of each indicator, achieving a consistency ratio (CR) of less than 0.1, which ensures the reliability of the assessment. The evaluation included calculating and analysing the Comprehensive Health Index (CHI), Pressure (PHI), State (SHI), and Response (RHI) health indices. Results indicated that the mangrove ecosystems in the Beibu Gulf region were “healthy” state by 2019 through 2022. However, in 2023, the health status declined to “relatively healthy,” indicating a downward trend. In conclusion, this study presents a robust framework for assessing mangrove ecosystem health using the PSR model. The findings underscore the urgent need for conservation efforts to reverse the declining health trend and ensure the long-term sustainability of mangrove ecosystems in the Beibu Gulf.