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Currently, phylloremediation has emerged as a highly effective method for eliminating air pollutants, particularly polyaromatic hydrocarbons (PAHs). When PAHs accumulate on the phyllosphere, they significantly impact the fungal communities residing on leaf surfaces. This study aimed to investigate how pollution distribution patterns affect the diversity and PAH-degrading abilities of phyllosphere fungi, alongside identifying suitable mathematical models for PAH degradation. Leaf samples from two locations, Maradana and Sapugaskanda, were identified as having the highest PAH concentrations through principal component analysis. The fungal diversity in these highly contaminated regions was varied, with dominant species exhibiting greater PAH-degrading capabilities than those in less polluted areas. Thirty-five morphologically different epiphytic fungal strains were isolated on Potato Dextrose Agar (PDA) medium using the sample leaf wash. Two different fungal strains were selected as the best PAH degraders among those 35 different strains. These fungal strains were identified as Trichoderma harzianum P4M-16, and Fusarium solani P11M-46 based on ITS sequence data. Notably, these fungal species were more prevalent in highly polluted urban areas compared to less contaminated sites. High-Performance Liquid Chromatography (HPLC) analysis revealed that these two fungal species degrade PAHs more efficiently than others. Their kinetics assays demonstrated alignment with four degradation models when breaking down phenanthrene, naphthalene, pyrene, and anthracene. Scanning electron microscopy images showed that these fungi function as endophytes, extending their mycelium into the core leaf tissue layers beyond the epidermis. Gas Chromatography-Mass Spectrometry (GCMS) analysis indicated that F. solani P11M-46 produced non-toxic byproducts during the breakdown of phenanthrene and anthracene, confirming their eco-friendly nature. Overall, our findings suggest the promising potential of using phyllosphere fungi in bioremediation processes for environmental pollutants such as PAHs. [ABSTRACT FROM AUTHOR]

Climate change poses challenges to maize production and productivity in eastern Ethiopia. Impact assessment using climate predictions is the prime step to design adaptation strategies. Crop Environment Resource Synthesis (CERES)-Maize model in DSSAT (Decision Support System for Agrotechnology Transfer) was calibrated using GenCalc software. The model was used to simulate change in maize yield in the baseline (1988–2017) and future climate periods (2030s and 2050s) under (Representative Concentration Pathways) RCP4.5 and RCP8.5 scenarios using 17 CMIP5 (Coupled Model Inter-comparison Project Phase Five) GCMs (Global Circulation Models). During calibration and evaluation of the model excellent agreement of measured and simulated anthesis, and days to physiological maturity for all the cultivars with normalized root mean square error (nRMSE) of less than 10% and R2 value of 0.99 was obtained. The seasonal leaf area index (LAI) and top weight progressions were also predicted well by the model with d-index of 0.96 and 0.99, respectively. Excellent (nRMSE < 10) to good (nRMSE 10–20) predictions were also obtained for grain yield and tops weight. The average annual temperature would increase by (1.90 ± 0.36) oC, (2.45 ± 0.53) oC and rainfall would increase (8 ± 5) %, (12 ± 8) % under RCP 4.5 in 2030s and 2050s, respectively across GCMs compared to baseline in the study area. As a result in 2030s yield reduction, – 10.6% to – 15.4% and – 7.4% to – 9.3% in 2050s of maize cultivar was projected across GCMs. In 2030s and 2050s under RCP4.5 and RCP8.5 long maturing cultivars (BH661) on 15th May planting with 130.5 kg N ha–1 application predicted the highest maize grain yield.Highlights: Climate change poses challenges to maize production and productivity. Adaptation strategies such as cultivars, planting dates, and nitrogen fertilizer rates were assessed. Under RCP4.5 and 8.5 in 2030s the highest maize grain yield predicted by planting late maturing (BH661) cultivar on 15 May with 130.5 kg ha–1 nitrogen fertilizer application. In 2050s planting late maturing (Raare-1) cultivar with 87 kg ha–1 nitrogen fertilizer application under RCP4.5 and, Planting late maturing (BH661) cultivar with 130.5 kg ha–1 nitrogen fertilizer application under RCP8.5 predicted to give higher yield. [ABSTRACT FROM AUTHOR]

The sustenance of rice cultivation in a region is highly dependent on future water availability under changing climate. The dams and reservoirs can play a major role in regional water availability since their storage capacity can cushion the water stress due to changes in rainfall and temperature patterns. The current study developed a simulation modelling framework to quantify the water availability and demand on a taluk scale in the command area of the Malampuzha Irrigation Project (MIP). The Blue and Green water footprint concept is used to analyse the water availability and demand in the region. The loosely coupled framework of SWAT, DSSAT, and a Reservoir Simulation Module helps to generate the hydrological and crop yield projections of the region according to the CMIP6 climate model projections. The analysis is carried out at a seasonal scale on decadal basis with a historical period spanning from 2016 to 2019 and a future period spanning from 2020 to 2100. The results suggest that eastern side of MIP command area experiences lower water availability due to lower green and blue water distribution, particularly affecting the regions of Palakkad and Chittur taluk. The study introduces an integrated water footprint score (IWFS) at taluk scale, which combines green and blue water footprint to assess the annual water demand variations in the region. The taluks Alathur and Palakkad are in the high risk category towards the end of the century as per the water footprint score. Towards the end of the century, an increase in rainfall by 67% and temperature by 6% has resulted in a decrease in rice yield by 13.2% during kharif and 52.5% during rabi season under SSP585 scenario. The study helps to identify critical water stress zones within the command area and prioritize the implementation of adaptation measures within the command area. [ABSTRACT FROM AUTHOR]

In rainfed areas, precipitation variations directly impact wheat growth stages such as emergence, tillering, jointing and booting, and maturity. Evaluating the impact of climate change on precipitation patterns during these critical growth stages is crucial for adapting climate change and ensuring global food security. In this study, projections of five General Circulation models (GCMs) under two shared socioeconomic pathways (SSPs) were used to predict the changing characteristics of precipitation during four main growth stages of wheat in the rainfed region of the Pothwar Plateau, Pakistan. Historical datasets of daily precipitation at six weather stations were analyzed to check the past changes in the precipitation patterns. During the baseline period (1985–2014), the annual average precipitation decreased at a rate of −9.75 mm/decade, while the amount of precipitation during the rabi season (wheat-growing season) decreased at a rate of −20.47 mm/decade. An increase in the precipitation was found during the fourth (flowering) stage of crop growth, while the first three stages experienced a decrease in the precipitation amount. The multimodal ensembled data, under the SSP2-4.5 scenario, revealed a significant decline (at the rate of −16.63 mm/decade) in the future annual precipitation. However, it is projected that, under SSP2-4.5, there may be a slight increase (4.03 mm/decade) in the total precipitation amount during the future rabi season. Under the SSP5-8.5 scenario, average annual precipitation exhibited a slightly increasing trend, increasing by 1.0 mm/decade. However, during the rabi season, there was a possibility of a decrease in precipitation amount, with a rate of 11.64 mm/decade. It is also expected that the precipitation amount may vary significantly during the crown root initiation, jointing and booting, and flowering stages in the near future. These results provide a framework for the planning of wheat production in the Pothwar region of Pakistan, taking into account the potential impact of shifting weather patterns, particularly in terms of uneven precipitation. [ABSTRACT FROM AUTHOR]

Recent developments in insect science and technology and integrated pest management (IPM) are laying a concrete path for transition from the dreaded chemical-based pest management to biological and biorational-based methods. Herbivore-induced plant volatiles (HIPVs) play an important role in host plant–herbivore–natural enemy interactions and have the potential to enhance the effectiveness of biological and biorational-based controls for integrated pest management (IPM). Synthetic HIPV blends can potentially improve the foraging behavior of predators by attracting them. This study was conducted to explore the emission of plant volatiles under infestation by cotton aphids, Aphis gossypii Glover, and their influence on attraction response of predatory six-spotted ladybird beetle, Cheilomenes sexmaculata (Fab.). Cotton leaf extracts were analyzed by gas chromatography coupled mass spectrometry (GC–MS), and the response of C. sexmaculata to the various extracts was assessed with a Y-tube olfactometer. By comparing the volatile profile of aphid-infested leaf extract with that of uninfested leaf extract, three compounds, namely 3-carene, pentadecane, and α-linolenic acid, were identified as aphid-induced HIPVs. However, the abundance of the other three compounds, heptane, 3-hexenal, and α-copaene significantly increased upon aphid infestation. At a concentration of 5%, aphid-infested leaf extract had the greatest effect on both female (85.9 ± 7.6%) and male (80.9 ± 6.4%) beetles. These results confirmed that HIPVs induced by aphids in cotton could attract C. sexmaculata beetles. Future tests need to be conducted to determine which compounds could be exploited as attractants for C. sexmaculata. [ABSTRACT FROM AUTHOR]

This paper demonstrates the synthesis and storage of molecular-imprinted polymers (MIP) at room temperature using bulk polymerization of atenolol (Ate), which is characterized by high sensitivity, low costs, and high stability. The research used 0.99:6:20 mmol ratios of template, monomer, and cross-linking agents for the polymerization in order to ensure an appropriate adsorption capacity. By making MIP for atenolol as Ate-MIP, which could be looked at with a UV-VIS spectrophotometer at 276 nm, Fourier- transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM), a functional monomer of allyl chloride with cross-linking ethylene glycol dimethyl acrylate was made. Mass spectrometric (MS) detection may use allyl chloride to determine atenolol levels in pharmaceutical preparations. The GC/MS methods developed in this study are accurate, sensitive, and precise and can be easily applied to (NOVATEN/India and ATENOIOI/U.K.) tablets in pharmaceutical preparation. The elution process was applied to the template (Ate) from the Ate-MIP, which developed cavities, caused by using porogenic solutions of methanol, chloroform, and acetic acid (70:20:10, respectively). The maximum adsorption capacity of Ate-MIP was 2.9957 µmol/g, and the ratio of template to monomer was 1:1 in adherence to the Langmuir isotherm model. A solid-phase extraction (SPE) syringe packed with molecular imprinted polymers (MIPs) was used to selectively separate and pre-concentrate Ate from aqueous solutions and estimations of atenolol. [ABSTRACT FROM AUTHOR]

Water scarcity is a major challenge facing many regions worldwide, especially arid and semi‐arid areas that are increasingly vulnerable to climate change. This study aimed to project water availability in the Amu Darya Basin (ADB) of Central Asia under four Shared Socioeconomic Pathways (SSPs) from the Coupled Model Intercomparison Project Phase Six (CMIP6) during two upcoming periods (2020–2059 and 2060–2099). The study used a robust machine learning approach, namely a Random Forest (RF) model, to simulate Gravity Recovery and Climate Experiment (GRACE) Terrestrial Water Storage (TWS) data from precipitation and maximum and minimum temperatures (Tmax and Tmin). It then incorporated precipitation, Tmax and Tmin from four selected CMIP6 GCMs, into a water storage model to project spatiotemporal changes in water availability across the basin. The study also evaluated the relative impacts of land use and population on TWS. Results indicate an increase in TWS by approximately 4 cm in the basin's eastern, northwestern and southwestern regions in both future periods, while a decrease by approximately −4 cm in the remaining areas. These projections suggest that TWS will decline in densely populated regions and increase in certain intensively cultivated areas. The most pronounced increase in TWS is anticipated in the snow‐covered Tundra climate zone of the basin. This is attributed to the melting of glaciers, which contributes to runoff in the tributaries of the Amu River. The findings highlight the importance of considering climate change and socioeconomic factors when projecting water availability in arid and semi‐arid regions. The projected changes in TWS have important implications for water resources management in the ADB, particularly in densely populated and intensively cultivated areas. [ABSTRACT FROM AUTHOR]

Soursop leaves (Annona muricata) contain various secondary metabolite compounds with pharmacological benefits. This study foccused on the activity and chemical components cytotoxic active fraction of soursop leaf dichloromethane extract. From maceration of 535.8 g dried sample of A. muricata leaves we obtained extracts of n-hexane (18.4 g; 3.43 %). dichloromethane (11.4 g; 2.23 %). and methanol (48.7 g; 9.95 %). The dichloromethane extract was separated for its chemical components using gravity column chromatography resulting in 9 combined fractions. Toxicity screening test was done based on Bhrine Shrimp Lethality Test (BSLT) and cytotoxic test using MTT method 3-(4.5-dimethylthiazol-2-yl)-2.5-diphenyltetrazolium bromide. The highest toxicity and cytotoxic test results were found in DMD 1 dichloromethane extract of A. muricata leaves with LC50 of 19.05 µg/mL and IC50 of 824.09 µg/mL. The results of DMD 1 gravity column re-chromatography produced 6-combined subfractions with the best separation pattern on DMD 1.4 and the results of GC-MS chromatogram analysis showed 29 peaks with the main component of fatty acid compounds namely Carbonic acid. but-2-yn-1-yl octadecyl ester (70.46 %). Potential anticancer compounds found were Phytol; 2-Hydroxy-1.1.10-trimethyl-6.9-epidioxydecalin and 2-Piperidinone. N-(4-bromo-n-butyl). [ABSTRACT FROM AUTHOR]

The phytochemical compounds in the leaf extracts of Castanopsis indica and C. tribuloides were evaluated, and their antioxidant and antimicrobial potential were assessed. The TPC was found to be 193.12 and 159.49 mg GAE g−1 dry weight, and the TFC was 108.12 and 96.49 mg QE g−1 dry weight, for C. indica and C. tribuloides, respectively. C. indica had higher DPPH scavenging activity, with an IC50 value of 15.10 μg mL−1. Both extracts showed substantial antimicrobial activity against the tested bacteria. GC-MS analysis showed the presence of 76 VoCs in C. indica leaf, and 71 VoCs in C. tribuloides. [ABSTRACT FROM AUTHOR]

High‐resolution climate projections are critical to assessing climate risk and developing climate resilience strategies. However, they remain limited in quality, availability, and/or geographic coverage. The Seasonal Trends and Analysis of Residuals empirical statistical downscaling model (STAR‐ESDM) is a computationally‐efficient, flexible approach to generating such projections that can be applied globally using predictands and predictors sourced from weather stations, gridded data sets, satellites, reanalysis, and global or regional climate models. It uses signal processing combined with Fourier filtering and kernel density estimation techniques to decompose and smooth any quasi‐Gaussian time series, gridded or point‐based, into multi‐decadal long‐term means and/or trends; static and dynamic annual cycles; and probability distributions of daily variability. Long‐term predictor trends are bias‐corrected and predictor components used to map predictand components to future conditions. Components are then recombined for each station or grid cell to produce a continuous, high‐resolution bias‐corrected and downscaled time series at the spatial and temporal scale of the predictand time series. Comparing STAR‐ESDM output driven by coarse global climate model simulations with daily temperature and precipitation projections generated by a high‐resolution version of the same global model demonstrates it is capable of accurately reproducing projected changes for all but the most extreme temperature and precipitation values. For most continental areas, biases in 1‐in‐1000 hottest and coldest temperatures are <0.5°C and biases in the 1‐in‐1000 wet day precipitation amounts are <5 mm/day. As climate impacts intensify, STAR‐ESDM represents a significant advance in generating consistent high‐resolution projections to comprehensively assess climate risk and optimize resilience globally. Plain Language Summary: The STAR‐ESDM tool is able to quickly and accurately generate future climate projections for weather stations and high‐resolution grids anywhere in the world. It does this by breaking down global or regional climate model output into different components, from the long‐term trend to the day‐to‐day variability, then merging projected changes with observations. When tested against projections generated by a complex and computationally expensive dynamical global model, STAR‐ESDM produced almost the same output, even for extreme temperature and precipitation values, at a fraction of the computational cost. Moreover, unlike most statistical downscaling models, this method isn't tied to any specific geographic area or predictand and/or predictor data set. It can be applied to any regional or global data set, whether generated by a climate or reanalysis model, derived from satellite observations, recorded at weather stations, and more. As climate impacts escalate, STAR‐ESDM offers a flexible and effective way to generate the high‐resolution climate projections needed to better gauge climate risk and enhance resilience anywhere in the world where reliable observational or quasi‐observational data, including reanalysis or satellites, are available. This is particularly relevant to under‐resourced regions, which are often most vulnerable to climate impacts as well as most lacking in future projections. Key Points: STAR‐ESDM is a rapid, flexible and generalizable approach to bias‐correct and downscale climate model output to any finer‐resolution data setPredictors/predictands can be derived from global or regional models, satellites, reanalysis, gridded observations and weather stationsProjected changes in temperature and precipitation mirror those of a high‐resolution global model at a fraction of the computational cost [ABSTRACT FROM AUTHOR]

Long-acting local anaesthetics have demonstrated effectiveness in managing intraoperative and postoperative pain. However, substances like lidocaine and paraben preservatives can trigger allergic reactions and methemoglobinemia in susceptible individuals. While bupivacaine shares common side effects with other local anesthetics, its adverse effects are amplified due to the physicochemical properties of long-acting local anesthetics. Recently, there has been growing interest in utilizing saliva as a potential bio matrix for drug testing because the drug concentration in saliva directly reflects the free, non-protein-bound drug in plasma. This study involved extracting lidocaine and bupivacaine from saliva collected from healthy male patients using a liquid-liquid extraction method. Gas Chromatography-Mass Spectrometry (GC-MS) with ropivacaine as an internal standard was employed for simultaneous determination of both drugs. The results demonstrated high precision and accuracy, with a limit of detection (LOD) and limit of quantification (LOQ) of 3 ng/ml and 10 ng/ml for lidocaine, and 20 ng/ml and 62 ng/ml for bupivacaine, respectively. This non-invasive and user-friendly method provides highly accurate drug analysis results.

Bemisia tabaci (Gennadius) is crital pest of chili plants. Besides using chemical insecticides to control B. tabaci, the actions that can be taken for B. tabaci management include applying repellent compounds. This research aims to study the potential of various commercial corn varieties in producing repellent compounds for B. tabaci. The method used in this research involved testing the response of B. tabaci using a Y tube olfactometer and GCMS analysis on varieties P-21, Bisi-18, NK-212, and Pertiwi 3 on a laboratory scale. Volatile compounds were collected from corn plants aged 3–10 weeks after planting (WAP). The results showed that Bisi-18, P-21, NK-212, and Pertiwi 3 maize exhibited repellency against B. tabaci. The highest repellency for all corn varieties was observed at 10 WAP. The P-21 variety exhibited 80% repellency, followed by Pertiwi 3 and Bisi-18 with 78% repellency, while NK-212 showed the weakest repellencyat 60%. Results from volatile compounds identification of each maize varieties demonstrated revealed several compounds with repellent properties against B. tabaci, including 9-otadecenoic acid (Z)-, 9-octadecenamide, (Z)-, delta-guaiene, alpha-guaiene, beta caryophyllene, and patchouli alcohol. Using maize plants to manage B. tabaci has the potential to be an environmentally friendly management technique. Further research is needed on B. tabaci management technique to achieve a more effective and efficient combination.

The rapid increase in the number of motorized vehicles has resulted in the depletion of the availability of fossil-based fuel oil. Bioethanol from sugarcane molasses waste is an alternative that can be applied to vehicles with the condition that it has 99.95% ethanol fuel grade. The study used a bioethanol sample fuel blend BE10 (Bioethanol 10%+90% Pertalite), and then conducted property testing and Gas Chromatography Mass Spectrometry (GCMS) to observe the compound structure of the fuel. Modification of the ignition timing forward 2o (+2) was done by reprogramming the Engine Control Module (ECM). The addition of up to 20% bioethanol to pertalite increased the octane number from 90 to 93.1. However, the heating value decreased from 42.5 to 39.18 MJ/kg. In the GC-MS test, the number of compounds in the fuel increased to 52 and 51 compounds, respectively. The highest improvement in engine performance of all parameters using bioethanol and advance ignition was sample (BE10+2). The thermal efficiency was 6.16%. Thus, the use of bioethanol fuel blends and ignition timing modifications can be applied to vehicles to get good performance and be more environmentally friendly.

Identifying best performing climate models is indispensable for better understanding of the future climate and its impact as well as for planning effective climate change adaptation and mitigation measures. This research aims to identify the best performing Global Climate Models (GCMs) products from the Coupled Model Inter-comparison Project phase 6 (CMIP6) in simulating rainfall and temperature in the Bale Eco-Region (BER), Southern Ethiopia. In this study, evaluations were performed for ten CMIP6 GCMs against observed and reanalysis rainfall and temperature products in terms of how well the GCMs reproduce rainfall, maximum temperature (Tmax) and minimum temperature (Tmin) from daily to annual temporal scales during 1995–2014 period. Performance evaluations were performed using the Comprehensive Rating Index (CRI), which is based on four statistical metrics. The best performing CMIP6 model(s) were bias-corrected by Distribution Mapping (DM) for future climate analysis at different agro-ecological zones (AEZs) and at the eco-region level. The study used projections of climate variables in the near future (2021–2040), mid-century (2041–2060) and late century (2081–2100) periods. Three shared socioeconomic pathways (SSP2-4.5, SSP3-7.0, and SSP5-8.5) were considered as future climate scenarios. The result indicated that BCC-CSM2-MR, CNRM-CM6-1 and MRI-ESM2-0 are relatively better for simulating the rainfall climatology of the BER from the daily to annual temporal scales. EC-Earth3, Ec-Earth3-Veg and MPI-ESM1-2-LR are also comparatively better for simulating Tmax while CNRM-CM6-1, EC-Earth3-Veg and EC-Earth3 outperformed for simulating Tmin in the studied temporal scales. After careful evaluations, climate change analysis was performed using the ensemble mean of BCC-CSM2-MR, CNRM-CM6-1 and MRI-ESM2-0 for rainfall, EC-Earth3 for Tmax and the ensemble mean of CNRM-CM6-1 and EC-Earth3-Veg for Tmin. Accordingly, the annual rainfall is expected to decrease in the near future in the three scenarios in the alpine (2–5%), temperate (11–14%) and sub-tropical (7–9%) AEZs as well as the BER spatial scales (2–5%), but rainfall is expected to increase in the late century period. In contrast, rainfall is expected to increase in the tropical AEZ in both the near future (3–11%) and late century (25–45%) periods. In the mid-century period, rainfall is expected to increase in the tropical AEZ in all the three scenarios, but it exhibits different directions of changes in the remaining AEZs and BER scale at different scenarios. The finding also revealed an expected increase in both Tmax and Tmin in the different AEZs as well as the BER scale, but the projected temperature increase is high in temperate AEZ. The projected increase of rainfall in the near future in tropical AEZ may reduce the frequently occurring droughts mainly in the lowland parts of the BER. Conversely, the reductions of rainfall in the remaining AEZs may introduce challenges for agriculture, water resources as well as endemic animals. The findings of this study justifies the need for climate models evaluation for each climate variables in order to choose the most appropriate models for localized climate change impact and adaptation studies. In addition, this study also suggested projections of future climate for different AEZs for better decision-making process for the specific AEZs. [ABSTRACT FROM AUTHOR]

The global climate models (GCMs) are sophisticated tools for determining how the climate system will respond. However, the output of GCMs has a coarse resolution, which is unsuitable for basin-level modelling. Global climate models need to be downscaled at a local/basin scale to determine the impacts of climate change on hydrological responses. The present study attempted to evaluate how effectively various large-scale predictors could reproduce local-scale rain in 35 different locations in India using artificial neural networks (ANN), change-factors (CF), K-nearest neighbour (KNN), and multiple linear regression (MLR). The selection of predictors is made based on the correlation value. As potential predictors, air temperature, geo-potential height, wind velocity component, and relative humidity at specific mean sea-level pressure are selected. The comparison of four different downscaling methods concerning the reproduction of various statistics such as mean, standard deviation at chosen locations, quantile–quantile plots, cumulative distribution function, and kernel density estimation of the PDFs of daily rainfall for selected stations is examined. The CF approach outperforms the other methods at almost all sites (R2 = 0.92–0.99, RMSE = 1.37–28.88 mm, and NSE = –16.55–0.99). This also closely resembles the probability distribution pattern of IMD data. [ABSTRACT FROM AUTHOR]

The present study is to understand how climatic variables such as precipitation and temperature vary over time and how those changes affect stream flow in the Jhelum River basin in Pakistan under different emission scenarios A2 and B2. The simulation results of HadCM3 were employed to create potential climate change scenarios with the Statistically Downscale Model (SDSM). The calibrated model Soil and Water Assessment Tool (SWAT) was used to forecast imminent stream flow to develop a proposed future climate change scenario. Results indicated that cooling patterns were identified in the north portion of the study area whereas warming patterns were detected in the south portion. The projected mean annual maximum temperature (Tmax) of 2020's 2050's and 2080's would be 0.3 °C, 0.8 °C, and 0.99 °C, respectively, under the A2 scenario. The changes in mean annual minimum temperature (Tmin) were also observed as it would be 0.4 °C, 0.7 °C, and 1.4 °C during 2020's (2021-2040), 2050's (2041-2070) and 2080's (2071-2100), respectively. Similarly, it was observed that average annual rainfall would rise by 14%, 10%, and 20% during the 2020s, 2050s, and 2080s, respectively, in the Mangla basin. The results showed an increase in annual stream flows of 100% (1545 m³/sec), with increases in the winter and autumn seasons of up to 409% and 211%, respectively, and a drop in the spring and summer seasons of up to 29% and 25%, respectively, in the 2080's compared to baseline. Water managers should consider the current trends and variability brought on by climate change to improve water management where water is scarce. [ABSTRACT FROM AUTHOR]

Curcuma caesia Roxb. is an ethnomedicinally important, essential oil (EO) yielding aromatic plant. A total of twelve accessions of this plant rhizome were collected from six different agro-climatic zones of West Bengal, India and evaluated for their antimicrobial activities against eight disease-causing, multi-drug-resistant pathogenic strains of urinary-tract infection and respiratory-tract infection. The EO and extracts demonstrated antibacterial activity, with the highest inhibition zone of 18.00 ± 0.08 and 17.50 ± 0.14 mm against Klebsiella pneumoniae by accession 06, even where all the broad-spectrum antibiotics failed to respond. In this study, we employed high-performance thin-layer chromatography (HPTLC) to quantify curcumin, the primary secondary metabolite of C. caesia, and the highest 0.228 mg/gm of curcumin resulted from accession 06. Hence, on the basis of all aspects, accession 06 was identified as the elite chemotype among all twelve accessions. The chemical profiling of EO from accession 06 was done using gas chromatography-mass spectroscopy (GC–MS). Conceivably, about 13 medicinally significant compounds were detected. As this plant species is seasonal and has difficulties in conventional breeding due to dormancy, it must be conserved through in vitro tissue culture for a steady supply throughout the year in massive amounts for agricultural demand. A maximum number of 19.28 ± 0.37 shoots has been obtained in MS medium fortified with 6-Benzylaminopurine, Kinetin, and Naphthalene acetic acid. The genetic uniformity of the plants has been studied through Start Codon Targeted Polymorphism. Therefore, this study must help meet the need for essential phytoactive compounds through a simple, validated, and reproducible plant tissue culture protocol throughout the year. [ABSTRACT FROM AUTHOR]

This study explored how the water balance components of the Middle Tapi Basin (MTB) might alter between 2010 and 2100 as an outcome of climate change. We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models were employed under two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). The baseline and future scenarios' monthly analyses of multiple water balance indicators also showed that RCP 4.5 and RCP 8.5 will see an increase in maximum temperature of 5.2% and 9.5%, respectively, by the end of the century. The baseline period contribution from monsoonal rainfall and streamflow was also 89.3% and 90.6%, but in future scenarios, the figures are likely to reduce to 75.2% and 57.8% for RCP 4.5 and 70.8% and 54.7% for RCP 8.5. While the average inflow estimates at the Ukai dam tend to rise by 19.2% and 46.8% till the distant future scenario for RCP 4.5 and RCP 8.5, respectively. In future scenarios, the percentage of groundwater flow and surface runoff contributions will be lesser due to the higher evapotranspiration rate and revaporisation of water to the root zone. Even though the monsoonal rainfall tends to reduce, the flow duration curves for the future scenarios exhibited a consistent increase in water availability compared to their respective historical counterparts, possibly due to more frequent and severe rainfall events. [ABSTRACT FROM AUTHOR]

We analyzed the biochemical compounds by GCMS and did bioassay of leaf extracts of five tree species viz., Aegle marmellos (L.) Correa, Annona squamosa L., Mangifera indica L., Morinda tinctoria Roxb and Moringa oleifera Lam. on germination and associated characteristics of kodomillet (Paspalum scrobiculatum L) and prosomillet (Panicum miliaceum L.). Response Index was used for comparison, and by GCMS, the compounds found in the leaves were determined and studied their effects on germination and seedling growth. The 5 % Moringa oleifera leaf extract, followed by extracts from A. squamosa and Mangifera indica, improved millets' seed germination. Perhaps because the extracts contained the dominant compounds 2- Piperidinone and 2-Pyrrolidinone. Tree leaf extracts from the above-donor species had a synergistic effects in prosomillet, stimulating germination by 14-18 %, than kodomillet. However, Morinda tinctoria and Aegle marmellos leaf extracts inhibited the germination of both millets than control. [ABSTRACT FROM AUTHOR]

Currently, mosquito control programs primarily rely on the utilization of chemically based insecticides. The objective of this study was to evaluate the efficacy of the plant Stemodia viscosa Roxb. against the early life stages of Culex quinquefasciatus, Anopheles stephensi and Aedes aegypti mosquitoes. The larvae, pupae and eggs of the mosquitoes were exposed to four different concentrations (62.5 to 500 ppm). After 120 h of treatment, the hexane and ethyl acetate extracts of S. viscosa exhibited 100% ovicidal activity against the eggs of the treated mosquitoes. The hexane and ethyl acetate extracts showed significant larvicidal activity against all three mosquitoes. The LC50 values of the hexane extract were 272.5, 233.5, 217.9 ppm and the LC50 values of the ethyl acetate extract were 238.6, 230.5 and 169.1 ppm respectively, after 24 h. The hexane and ethyl acetate extracts of S. viscosa exhibited promising pupicidal activity with LC50 values of 286.6, 265.3, 257.9 and 192.2, 290.9 and 238.1 ppm, respectively, after 24 h against all three mosquitoes. Additionally, histopathological and growth disruption studies revealed severe damage in the midgut cells of the treated larvae. The suitability index (SI) or predator safety factor (PSF) values indicated that the extracts from S. viscosa could be safely utilized in Integrated Mosquito Management (IMM) without harming the predators. Furthermore, formulations based on hexane and ethyl acetate extracts demonstrated strong activity while exhibiting no toxicity towards non-target organisms. The results imply that the extract holds potential as an eco-friendly substitute for synthetic insecticides in mosquito control. However, additional research is required to identify the most potent components of the plant extract to enhance product efficacy and stability. [ABSTRACT FROM AUTHOR]

Our study aims to understand how the hydrological cycle is affected by climate change in river basins. This study focused on the Karnali River Basin (KRB) to examine the impact of extreme weather events like floods and heat waves on water security and sustainable environmental management. Our research incorporates precipitation and temperature projections from ten Global Circulation Models (GCMs) under the Coupled Model Intercomparison Project Phase 6 (CMIP6). We applied thirteen statistical bias correction methods for precipitation and nine for temperatures to make future precipitation and temperature trend projections. The research study also utilized the Soil and Water Assessment Tool (SWAT) model at multi-sites to estimate future streamflow under the Shared Socioeconomic Pathway (SSP) scenarios of SSP245 and SSP585. Additionally, the Web-based Hydrograph Analysis Tool (WHAT) was used to distinguish between baseflow and streamflow. Our findings, based on the Multi-Model Ensemble (MME), indicate that precipitation will increase by 7.79–16.25% under SSP245 (9.43–27.47% under SSP585) and maximum temperatures will rise at rates of 0.018, 0.048, and 0.064 °C/yr under SSP245 (0.022, 0.066, and 0.119 °C/yr under SSP585). We also anticipate that minimum temperatures will increase at rates of 0.049, 0.08, and 0.97 °C/yr under SSP245 (0.057, 0.115, and 0.187 °C/yr under SSP585) for near, mid, and far future periods, respectively. Our research predicts an increase in river discharge in the KRB by 27.12% to 54.88% under SSP245 and 45.4% to 93.3% under SSP585 in different future periods. Our finding also showed that the expected minimum monthly baseflow in future periods will occur earlier than in the historical period. Our study emphasizes the need for sustainable and adaptive management strategies to address the effects of climate change on water security in the KRB. By providing detailed insights into future hydrological conditions, this research serves as a critical resource for policymakers and stakeholders, facilitating informed decision-making for the sustainable management of water resources in the face of climate change. [ABSTRACT FROM AUTHOR]

Porous wood-based boards, like any lignocellulosic material, are susceptible to biocorrosion caused by mold fungi. Their durability can be extended by using biocides. Due to the fact that porous boards are considered an ecological material, it would be beneficial to also use natural agents to protect them. For this purpose, the surface of softboards was protected with a 30% solution of cinnamon bark oil in ethanol. Three application levels were used: 75 g/m2, 120 g/m2, and 200 g/m2 of solution. It has been shown that the cinnamon bark oil solution used at an application rate of 200 g/m2 is an effective fungicide, protecting softboards (SBs) against the development of mold fungi: T. viride and C. globosum. The dominant volatile component of cinnamon oil identified in the boards turned out to be cinnamaldehyde. Three months after treatment, this substance constituted 74% of the volatile components. The proposed treatment method allows for short-term preventive protection of boards against mold fungi. [ABSTRACT FROM AUTHOR]

Abstract High‐resolution climate projections are critical to assessing climate risk and developing climate resilience strategies. However, they remain limited in quality, availability, and/or geographic coverage. The Seasonal Trends and Analysis of Residuals empirical statistical downscaling model (STAR‐ESDM) is a computationally‐efficient, flexible approach to generating such projections that can be applied globally using predictands and predictors sourced from weather stations, gridded data sets, satellites, reanalysis, and global or regional climate models. It uses signal processing combined with Fourier filtering and kernel density estimation techniques to decompose and smooth any quasi‐Gaussian time series, gridded or point‐based, into multi‐decadal long‐term means and/or trends; static and dynamic annual cycles; and probability distributions of daily variability. Long‐term predictor trends are bias‐corrected and predictor components used to map predictand components to future conditions. Components are then recombined for each station or grid cell to produce a continuous, high‐resolution bias‐corrected and downscaled time series at the spatial and temporal scale of the predictand time series. Comparing STAR‐ESDM output driven by coarse global climate model simulations with daily temperature and precipitation projections generated by a high‐resolution version of the same global model demonstrates it is capable of accurately reproducing projected changes for all but the most extreme temperature and precipitation values. For most continental areas, biases in 1‐in‐1000 hottest and coldest temperatures are

Abstract The medicinal potential of Coelogyne suaveolens, a traditional medicinal plant, was investigated through in vivo and molecular docking studies. The ethyl acetate fraction of the plant's acetonic extract was subjected to various bioactivity tests to assess its analgesic, anxiolytic, and sedative effects on Swiss albino mice. Furthermore, we used GCMS to identify the bioactive chemicals in the extract's ethyl acetate fraction. The root and bulb extracts demonstrated significant analgesic activity in acetic acid‐induced writhing, hot plate, and tail immersion tests in a dose‐dependent manner when compared to the control. Again, the extract exhibited moderate anxiolytic activity in the elevated plus maze test at a dosage of 400 mg/kg body weight, while the root extract showed significant anxiolytic activity in the hole board test at the same dosage. Significant sedative activity was observed in the hole cross, open field, and rotarod tests at a dosage of 400 mg/kg. According to molecular docking studies, the extract has the potential to serve as an analgesic medication by reducing the enzymatic activity of cyclooxygenases 1 and 2. Overall, the findings suggest that C. suaveolens has substantial therapeutic potential for the development of novel treatments for pain, anxiety, and sleep disorders.

Abstract Mosquitoes are notorious insects that transmit a wide range of infectious diseases, including zika, malaria, chikungunya, filariasis, and dengue. The overuse and incorrect application of synthetic pesticides to control mosquitoes has resulted in resistance development and environmental contamination, both of which have had a negative impact on human health. To address this issue, the larvicidal and pupicidal potential of acetone extract from Casearia tomentosa fruits was investigated. The extract was evaluated in a lab setting against all larval instars and pupa of Culex quinquefasciatus and Aedes albopictus, as well as against third instar larvae in a semi-field condition. Purified compounds through TLC were also tested against 3rd instar larvae of both mosquito and non-target organisms. The FT-IR and GC-MS analyses were used to characterise the extract. Morphological aberration caused by the acetone extract was observed using FESEM. The anal gills and respiratory siphon of both mosquitoes showed significant deformation from their normal state. 100 ppm was found to cause 100% larval mortality at 24 h of exposure in case of Cx. quinquefasciatus and at 72 h of exposure in Ae. albopictus larvae. After 72 h of exposure under in vitro conditions, the extract demonstrated considerable larvicidal activity with LC50 values of 38.33 and 47.56 against 3rd instar larvae of Culex quinquefasciatus and Aedes albopictus, respectively. The acetone extract can be considered as a highly effective mosquito larvicidal agent that is safe for the environment. Graphical abstract

Background Sea cucumbers can be explored as alternative raw materials by the pharmaceutical and fishery industries as anticancer agents because they contain potential bioactive compounds. Methods This study aimed to determine the anticancer activity of Paracaudina australis extract against breast cancer cells (T47D) using an MTT assay. The secondary metabolites found in P.australis are steroids, terpenoids, saponins, and phenolics. The Thin-Layer Chromatography test results are indicated by Rf values, and steroid compounds in the ethyl acetate fraction are included in the standard Rf values. The isolates obtained were identified by Gas Chromatography-Mass Spectrometry, Fourier-Transform Infrared Spectroscopy, High-performance liquid chromatography, and UV-Visual spectrophotometry. Results The isolated compounds were Dihydrocholesterol and Cholestan-3-ol, with a molecular formula (C 27H 48O). The ion weight and molecular mass of the compound were m/z 388,7. Conclusions This compound may be responsible for the anticancer activity of P.australis. The IC 50 of Isolate F4 was 25,3 μg/ml, and IC 50 of Isolate F7,8 was 13,76 μg/ml.

Study region: Mokgam River watershed, South Korea Study focus: In this study, the uncertainty contribution of three sources and their interaction effects on future climate and runoff projections were quantified. General circulation models (GCMs), shared socioeconomic pathways (SSPs), and bias correction (BC) methods were considered as the three sources. 20 GCMs under four SSPs (SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5) were used to project the future climate of the study area. Seven BC methods were used to adjust the GCMs’ daily climate data. The storm water management model (SWMM) was used as a hydrological model to simulate runoff, incorporating both natural and conduit flows according to GCMs’ climate projection. The normalized Nash-Sutcliffe efficiency (NNSE), normalized root mean square error (NRMSE), Kling-Gupta efficiency (KGE), and modified index of agreement (MD) were used to evaluate the performance of the GCMs’ climate simulations and the SWMM runoff simulations, which were based on the GCMs’ climate data. The analysis of variance (ANOVA) method was used to quantify the uncertainty. New hydrological insights for the study region: The results showed that the assumptions of the BC method had a significant impact on the variation in climate and runoff projections. In the uncertainty of future climate and runoff projection results, BC methods exhibited the predominant contribution, while SSPs showed the least contribution. However, the uncertainty contribution from SSPs and GCMs was predominant in temperature projections, and these results could vary depending on the assumptions and the number of BC methods used. Overall, this study emphasizes not only the influence of GCMs but also the impact of BC methods on future climate and runoff projections.

This study investigates the medicinal properties of Rhodomyrtus tomentosa by extracting its bioactive compounds with n-hexane, ethyl acetate, and ethanol. Ethyl acetate extract had the highest total phenolic content, while hexane extract had the lowest. The ethanol extract had the highest total flavonoid content, with hexane extract having the lowest. Ethanol extract showed the highest antioxidant activity with an IC50 value of 28.61 ± 0.56 μg/mL. Gas Chromatography-Mass Spectrometry profiling identified major compounds like menthol and salicylic acid. Fraction 6, with rhodomyrtone content of 728 μg/mL, had the most dominant rhodomyrtone compound. Higher solvent polarity correlated with higher total phenolic content, total flavonoid content, and antioxidant activity, but lower saponin content. Based on its contents, further studies are needed to investigate its ability to reduce enteric methane, enhance immunity, and adapt to climate change, both in vitro and in vivo in ruminant livestock.

The medicinal potential of Coelogyne suaveolens, a traditional medicinal plant, was investigated through in vivo and molecular docking studies. The ethyl acetate fraction of the plant's acetonic extract was subjected to various bioactivity tests to assess its analgesic, anxiolytic, and sedative effects on Swiss albino mice. Furthermore, we used GCMS to identify the bioactive chemicals in the extract's ethyl acetate fraction. The root and bulb extracts demonstrated significant analgesic activity in acetic acid‐induced writhing, hot plate, and tail immersion tests in a dose‐dependent manner when compared to the control. Again, the extract exhibited moderate anxiolytic activity in the elevated plus maze test at a dosage of 400 mg/kg body weight, while the root extract showed significant anxiolytic activity in the hole board test at the same dosage. Significant sedative activity was observed in the hole cross, open field, and rotarod tests at a dosage of 400 mg/kg. According to molecular docking studies, the extract has the potential to serve as an analgesic medication by reducing the enzymatic activity of cyclooxygenases 1 and 2. Overall, the findings suggest that C. suaveolens has substantial therapeutic potential for the development of novel treatments for pain, anxiety, and sleep disorders. [ABSTRACT FROM AUTHOR]

The Sangu River basin significantly contributes to national economy significantly; however, exposures to water-related hazards are frequent. As it is expected that water-related disasters will increase manifold in the future due to global warming, the Government of Bangladesh has formulated the Bangladesh Delta Plan 2100 (BDP-2100) to enhanced climate resilience. Accordingly, this study assessed the hydro-meteorological characteristics of the Sangu River basin under the changing climate. This study scientifically selected five General Circulation Models (GCMs) to include the model climate sensitivity and statistically bias-corrected their outputs. The Water and Energy Budget-based Rainfall-Runoff-Inundation (WEB-RRI) model was used to simulate the hydrological responses of the basin. The analysis of five GCMs under the Representative Concentration Pathway (RCP8.5) revealed that all selected GCMs estimate a 2–13% increase in annual rainfall and a 3–12% increase in annual discharge in the near-future (2025–2050), whereas four GCMs project an 11–52% increase in annual rainfall and a 7–59% increase in annual discharge in the far-future (2075–2100). The projected more frequent and intense increased extreme rainfall and flood occurrences in the future indicate an increase in flood disaster risk, whereas increased meteorological and hydrological drought in the future reflects a scarcity of water during dry periods. The number of projected affected people shows an increasing trend due to the increased inundation in the future. However, an increasing trend of transpiration indicates agricultural productivity will increase in the future. Policymakers can utilize this evidence-based information to implement BDP-2100 and to reduce the disaster risks in the basin. [ABSTRACT FROM AUTHOR]

All models are wrong, but models are not all equally wrong. Indeed, they can be wrong to different degrees and in entirely different ways. Here, we show that GCMs which are lower-performance (for particular tasks and applications) play a crucial role in climate science research. That is, lower-performance models help scientists gain knowledge they would otherwise lack, a point that is often underappreciated and has been under-theorized. More specifically, in the climate science literature, we see that lower-performance models help constrain the estimates of climate variables, lower-performance models provide data to test model weighting schemes, and lower-performance models serve as evidence to help resolve model-data discrepancies. This implies that (i) lower-performance models ought not be eliminated from analysis too hastily and (ii) the value of multi-model ensembles goes beyond exploring structural uncertainty and includes the counterintuitive generation of new knowledge via, in part, lower-performance models. As a result of (ii), model intercomparison efforts require reappraisal, particularly when deciding how to allocate modeling resources. [ABSTRACT FROM AUTHOR]

Background: Chemotherapies target the PfEMP-1 and PfPKG proteins in Plasmodium falciparum, the parasite that causes malaria, in an effort to prevent the disease's high fatality rate. This work identified the phytochemical components of Nauclea latifolia roots and docked the chemical compounds against target proteins, and examined the in vivo antiplasmodial effect of the roots on Plasmodium berghei-infected mice. Methods: Standard protocols were followed for the collection of the plant's roots, cleaning, and drying of the roots, extraction and fraction preparation, assessment of the in vivo antiplasmodial activity, retrieval of the PfEMP-1 and PfPKG proteins, GCMS, ADME, and docking studies, chromatographic techniques were employed to separate the residual fraction's components, and the Swis-ADME program made it possible to estimate the drug's likeness and pharmacokinetic properties. The Auto Dock Vina 4.2 tool was utilized for molecular docking analysis. Results: The residual fraction showed the best therapeutic response when compared favorably to amodiaquine (80.5%) and artesunate (85.1%). It also considerably reduced the number of parasites, with the % growth inhibition of the parasite at 42.8% (D2) and 83.4% (D5). Following purification, 25 compounds were isolated and characterized with GCMS. Based on their low molecular weights, non-permeation of the blood–brain barrier, non-inhibition of metabolizing enzymes, and non-violation of Lipinski's criteria, betulinic and ursolic acids were superior to chloroquine as the best phytochemicals. Hence, they are lead compounds. Conclusion: In addition to identifying the bioactive compounds, ADME, and docking data of the lead compounds as candidates for rational drug design processes as observed against Plasmodium falciparum target proteins (PfEMP-1 and PfPKG), which are implicated in the pathogenesis of malaria, the study has validated that the residual fraction of N. latifolia roots has the best antiplasmodial therapeutic index. [ABSTRACT FROM AUTHOR]

BACKGROUND: Betel leaf is an essential oil (EO)‐rich plant from the Piperaceace family used as traditional herbal medicine. The minimum EO yield by the conventional extraction method was increased by adopting cold plasma (CP) as pretreatment. Thus, the present study involved optimizing the CP conditions and analyzing the EO's qualities. RESULTS: Optimization of the CP parameters like electric voltage (A = 25–35 kV), treatment duration (B = 4–12 min) and extraction time (C = 60–180 min) was done for maximum EO yield (R1) and total phenolic content (TPC; R2) using response surface methodology with Box–Behnken design. Maximum EO yield (20.76 ± 1.15 g kg−1) and TPC (29.43 ± 1.7 mg GAE mL−1) were derived under optimal conditions: A = 34 kV, B = 10 min and C = 110 min. A quadratic polynomial model developed by multiple regression analysis revealed that the three independent variables significantly influenced the oil yield and TPC with R2 values of 0.9909 and 0.9962, respectively. The CP treatment significantly altered the betel leaf powder morphology and increased the EO's radical scavenging capacity and bioactive compounds like chavibetol, chavibetol acetate, hydroxychavicol and γ‐muurolene. Conversely, the functional groups, refractive index and specific gravity were unaffected by CP treatment. CONCLUSION: The EO yield and its qualities were improved by applying CP under optimal conditions which can be helpful for scaled‐up industrial processes with further studies. The identified bioactive compounds are valuable in the food and pharmaceutical industries. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

In the present study, we used a bubble column photobioreactor to test carbon dioxide using Chlorella vulgaris RDS03 under laboratory conditions. The nutrient concentration of medium was optimized by Box-Behnken design through response surface methodology (RSM), and regression coefficient (R2) value of 0.999 was analyzed by analysis of variance (ANOVA). The microalga Chlorella vulgaris RDS03 was captured—98.86% of CO2 analyzed by CO2 utilization and biofixation kinetics, 310U mL−1 of RuBisCO enzyme, 5.32 mg mL−1 of biomass, 124 mg g−1 of carbohydrate, 247.15 mg g−1 of lipid, 4.1 mL g−1 of bioethanol, and 4.9 mL g−1 of biodiesel produced. The molecular weight of purified RuBisCO enzyme was analyzed as 54 kDa by 15% of SDS PAGE. The 3D homology structure of N-terminal amino acids sequence of RuBisCO was predicted with 415 amino acid residues. The biodiesel was subjected to functional group analysis using Fourier transform infrared spectroscopy (FTIR). The fifty biodiesel (FAME) compounds were identified by gas chromatograph-mass spectroscopy (GC–MS) analysis and major compounds viz., linolenic acid (C18:2), oleic acid (C18:2), stearic acid (C18:0), palmitic acids (C16:1), and myristic acid (C14:0). The produced bioethanol was confirmed using high-performance liquid chromatography (HPLC). [ABSTRACT FROM AUTHOR]

All models are wrong, but models are not all equally wrong. Indeed, they can be wrong to different degrees and in entirely different ways. Here, we show that GCMs which are lower-performance (for particular tasks and applications) play a crucial role in climate science research. That is, lower-performance models help scientists gain knowledge they would otherwise lack, a point that is often underappreciated and has been under-theorized. More specifically, in the climate science literature, we see that lower-performance models help constrain the estimates of climate variables, lower-performance models provide data to test model weighting schemes, and lower-performance models serve as evidence to help resolve model-data discrepancies. This implies that (i) lower-performance models ought not be eliminated from analysis too hastily and (ii) the value of multi-model ensembles goes beyond exploring structural uncertainty and includes the counterintuitive generation of new knowledge via, in part, lower-performance models. As a result of (ii), model intercomparison efforts require reappraisal, particularly when deciding how to allocate modeling resources. [ABSTRACT FROM AUTHOR]

Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model intercomparison project (CMIP5 and CMIP6), this research investigates how likely it is that precipitation changes in CMIP5 and CMIP6 will affect both the magnitude and frequency of flood analysis. GCM output from four modelling institutes in CMIP5, with representative pathway concentration (RCP8.5) and the corresponding CMIP6 shared socioeconomic pathways (SSP585), were selected for historical and future periods, before the project precipitation was statistically downscaled for selected cities by using delta, quantile mapping (QM), and empirical quantile mapping (EQM). On the basis of performance evaluation, a rainfall-runoff hydrological model was developed by using the stormwater management model (SWMM) for CMIPs (CMIP5 and CMIP6) in historical and future horizons. The results reveal an unprecedented increase in extreme events, for both CMIP5 (historical) and CMIP6 (future) projections. The years 2070–2080 were identified by both CMIP5 and CMIP6 as experiencing the most severe flooding. [ABSTRACT FROM AUTHOR]

Changes in precipitation patterns, a fundamental aspect of climate change, can significantly impact soil erosion processes. This article aims to evaluate the current state of soil erosion in the Talas area utilizing the Revised Universal Soil Loss Equation (RUSLE). Climate projections for the study were obtained through the CMIP6 Global Climate Model (GCM) and the climatic data were integrated into the RUSLE to simulate potential changes in soil erosion patterns. The mean annual soil erosion rate, observed over the research duration, ranges from 0 to 127 (t y−1). Results indicate that 56.29% of the study area is characterized by a low susceptibility to soil erosion, with an additional 33.56% classified as at moderate risk and 7.36% deemed at high risk of erosion. Furthermore, the evaluation reveals an average increase in precipitation levels compared to the baseline. Models project a rise of 21.4%, 24.2%, and 26.4% by the years 2030, 2050, and 2070, respectively. Concurrently, the study observes a parallel increase in soil loss with precipitation, demonstrating a rise of 34%, 35.5%, and 38.9% for the corresponding time periods. Also, the spatially distributed results show that the southern part of the territory of the Talas region has been impacted by erosion over the past and will also be in the future period. These findings underscore the intricate interplay between climate-induced changes in precipitation and their significant impact on soil erosion. The results provide essential insights for developing targeted soil conservation strategies in the Talas area under evolving climatic conditions. [ABSTRACT FROM AUTHOR]

Terminalia chebula is one of the medicinal plants studied extensively for their antimicrobial properties. Porphyromonas gingivalis is one of the common bacterial etiologies for periodontitis. The study aimed to characterize the fruit extract of Terminalia chebula and test its antibacterial activity against Porphyromonas gingivalis. Of the 20 periodontitis samples processed, 13 were positive for P. gingivalis. The ethyl acetate extract showed better anti-P. gingivalis activity and a greater number of phytochemicals compared to methanol and water. 1,2,3 Benzenetriol was a major compound present in both ethyl acetate and methanol extracts. [ABSTRACT FROM AUTHOR]

The behaviour and orientation modifying cues from host plants and prey insects play vital roles in the process of host selection and acceptance by predators. So, we studied the volatile organic compounds of un-infested and infested cabbage plants by cabbage aphid, Brevicoryne brassicae, through Gas Chromatography-Mass Spectrometry (GC-MS). Overall, 58 and 50 compounds were identified in uninfested and infested cabbage plants through DCM and DEE extract, respectively. Based on the peak area from the GC-MS analysis, the volatile organic compounds from infested cabbage were significantly greater than that from un-infested cabbage extract. In the DCM extract, volatile compounds, notably Cyclohexasiloxane tetradecamethyl, Cyclopentasiloxane decamethyl, and 3-Hexen-1-ol were released in significant amounts. In the DEE extract, 3-Hexen-1-ol, (Z)-, Cyclohexasiloxane dodecamethyl, and Cyclopentasiloxane decamethyl were also released in substantial quantities. The Y-tube olfactometer study revealed that C. sexmaculata adults exhibited significantly greater attraction to the volatiles emitted from cabbage infested with aphids compared to any other extract. Additionally, their response time was notably shorter when exposed to the infested cabbage with aphid extract. The results indicated that the C. sexmaculata could discriminate the infested cabbage and significantly responded to the plant odour, which suggested that, the synomones (volatiles from cabbage plant) and kairomones (volatiles from aphid body) played a vital role in the orientation behaviour of C. sexmaculata to locate the cabbage aphid. [ABSTRACT FROM AUTHOR]

Mosquitoes are notorious insects that transmit a wide range of infectious diseases, including zika, malaria, chikungunya, filariasis, and dengue. The overuse and incorrect application of synthetic pesticides to control mosquitoes has resulted in resistance development and environmental contamination, both of which have had a negative impact on human health. To address this issue, the larvicidal and pupicidal potential of acetone extract from Casearia tomentosa fruits was investigated. The extract was evaluated in a lab setting against all larval instars and pupa of Culex quinquefasciatus and Aedes albopictus, as well as against third instar larvae in a semi-field condition. Purified compounds through TLC were also tested against 3rd instar larvae of both mosquito and non-target organisms. The FT-IR and GC-MS analyses were used to characterise the extract. Morphological aberration caused by the acetone extract was observed using FESEM. The anal gills and respiratory siphon of both mosquitoes showed significant deformation from their normal state. 100 ppm was found to cause 100% larval mortality at 24 h of exposure in case of Cx. quinquefasciatus and at 72 h of exposure in Ae. albopictus larvae. After 72 h of exposure under in vitro conditions, the extract demonstrated considerable larvicidal activity with LC50 values of 38.33 and 47.56 against 3rd instar larvae of Culex quinquefasciatus and Aedes albopictus, respectively. The acetone extract can be considered as a highly effective mosquito larvicidal agent that is safe for the environment. [ABSTRACT FROM AUTHOR]

The current study aimed to appraise extracts of Cleome simplicifolia (Cambess.) Hook. f. and Thomson leaves for chemical integrant and biological activities. In this study, different extracts of leaves were estimated for qualitative phytochemical screening, identification of functional groups, mineral content, and phyto-compounds and assessed for in vitro antioxidant and in vivo acute toxicity and hepatoprotective activity antagonistic toward paracetamol-intoxicated Wister albino rats. The results of the qualitative phytochemical assessment of the leaf extracts (acetone, methanol, and distilled water) exhibited the occurrence of useful metabolites. A Fourier transform infrared analysis confirmed the occurrence of O-H, N-H, C=C, S=O, C-O, C-N, C-Cl, and C-Br at 3367.14, 2920.79, 2850.32, 1631.04, 1384.59, 1168.64, 1063.78, 824.78, and 615.25 cm−1 wavelengths, whereas energy-dispersive X-ray showed the existence of carbon, oxygen, magnesium, aluminum, silicon, phosphorus, sulfur, chlorine, potassium, and calcium elements in the leaf, respectively. Thereafter, a gas chromatography–mass spectroscopy analysis unveiled the diverse volatile compounds in the methanolic leaf extracts, namely n-Heptyl acrylate—18.87%, undecane—17.49%, 2-Propenoic acid, 3-(3,4-dimethoxyphenyl)-, (E)—11.40%, Neophytadiene—11.02%, n-Hexadecanoic acid—10.78%, Glafenin—10.09%, Decane—7.45%, Phytol—6.0%, Benzene, (1-methyldodecyl)—3.48%, and 4-Cyclohexyl-1-butanol—3.41%, respectively. An analysis of in vitro antioxidant activity using the 2,2-diphenyl-1-picrylhydrazyl assay of methanolic leaf extract revealed elevated levels of antioxidant ability at 20 (46.18%), 40 (53.83%), 60 (66.64%), 80 (74.03%), and 100 (85.05%) μg/mL. In addition, in vivo acute toxicity determination proved that the methanolic leaf extract was innocuous and caused no mortality at 72 mg, 78 mg, or 82 mg/kg b.wt. doses. The methanolic leaf extracts' in vivo hepatoprotective activity against paracetamol revealed significant efficacy at 50 and 100 mg/kg b.wt. via reduction of aspartate transaminase, alanine transaminase, alkaline phosphatase, bilirubin, and cholesterol (serum blood biochemical markers) followed by an enhancement in superoxide dismutase, catalase, and glutathione (liver antioxidants) with lipid peroxidation depletion compared with the normal group rats. From the investigated study, it was concluded that the C. simplicifolia leaf are a potential source for the isolation of biologically active phyto-compounds and have the ability to prevent liver damage by paracetamol induction, where the hepatic restoration ability is indexed to its in vivo and in vitro antioxidant ability, which might be the result of its chemical constituents. [ABSTRACT FROM AUTHOR]

Biotechnology researchers are particularly interested in medicinal plants since they are the primary source of pharmaceutical chemicals used by the majority of the drug industry. Many compounds used as food colouring, flavourings, scents and biochemicals in medicine have historically come from plants, particularly in India. Asparagus racemosus is regarded as an important traditional medicinal plant. Ethanolic extract of Asparagus racemosus roots was made for this investigation, and using GCMS (Gas chromatography-mass spectroscopic analysis), the presence of numerous bioactive compounds in Asparagus racemosus was determined. The results of the present study upon GC-MS revealed presence of 46 substances. The ethanolic extract of Asparagus racemosus included a number of chemicals, including Oleic acid, n-hexadecanoic acid and octadecanoic, upon GCMS analysis. Therefore, because the ethanolic extract of Asparagus racemosus contains secondary metabolites, which may serve as anticancer, chemopreventive, anti-microbial, antioxidant and antidiabetic precursors. To determine the extract's active principle and to clarify its precise mode of action in different illnesses, more research is required. [ABSTRACT FROM AUTHOR]

The importance of kaffir lime leaf as essential oils (EOs) raw material is starting to get attention because of its commercial value; however, there is no quality reference for kaffir lime leaf EOs, especially in response to various post-harvest handlings. This study aimed to describe the physicochemical characteristics and yield of kaffir lime EOs subjected to different post-harvest. Bogor originated-kaffir lime leaf was prepared to be subjected to several post-harvest treatments, i.e., control/fresh green leaves (P1); milling to produce green leaf flour (P2); drying to produce dry brown leaf (P3), and milling and drying to produce brown leaf flour (P4). The result showed that post-harvest treatment generally decreases an oil yield and increases darkness color, specific gravity and refractive index of tested EOs. Additionally, post-harvest treatment also changes metabolite profile revealed by GCMS analysis. The relative percentage of caryophyllene and citronellol tends to increase, while the linalool and citronellal levels decrease due to tested post-harvest treatment. It was implied that for the benefit of the fragrance industry with a high citronellal requirement, EOs should be made from fresh green leaves and the leaves should be avoided from drying and powdering treatment.

Epilepsy is an abiding condition associated with recurrent seizure attacks along with associated neurological and psychological emanation owing to disparity of excitatory and inhibitory neurotransmission. The current study encompasses the assessment of the Nyctanthes arbor-tristis L. methanolic extract (Na.Cr) in the management of convulsive state and concomitant conditions owing to epilepsy. The latency of seizure incidence was assessed using pentylenetetrazol (PTZ) kindling models along with EEG in Na.Cr pretreated mice, trailed by behavior assessment (anxiety and memory), biochemical assay, histopathological alterations, chemical profiling through GCMS, and molecular docking. The chronic assessment of PTZ-induced kindled mice depicted salvation in a dose-related pattern and outcomes were noticeable with extract at 400 mg/kg. The extract at 400 mg/kg defends the progress of kindling seizures and associated EEG. Co-morbid conditions in mice emanating owing to epileptic outbreaks were validated by behavioral testing and the outcome depicted a noticeable defense related to anxiety (P