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Wheat (Triticum aestivum L) is one of the major staple food crops consumed globally. Nonetheless, the cultivation of wheat is influenced by various environmental factors, with the planting date being significantly impacted by the effects of climate change. Addressing these changes could involve evaluating wheat genotypes to identify appropriate planting dates. A phenotypic screening experiment was conducted in the field crop station of Agriculture College of Tikrit University to determine the suitable planting time for wheat cultivars under local environmental conditions during 2022-23. Several morpho-physiological, quality, and yield traits were measured. Factorial experiment using spilt plot through randomized completely block design (RCBD). was used with three replications. The five planting dates (5-10, 25-10, 15-11, 5-12, and 25-12) were considered as the main plot, and the eight wheat cultivars (Ipaa99, Al-Rasheed, Al-Baraka, Sham6, Tammuz2, Al-Hashimiya, Al-Noor, and Al-Adnanieh) as sub-main plot. Data were used to calculate the Individual, Cumulative, and Total Vigor Response Indices (IRI, CRI & TRI). Cultivars were classified into different categories using total cumulative early or late planting date vigor response index values (TRI-e) or (TRI-l) and standard deviation (SD). The (TRI-e) values ranged from 36.07 (sensitive) for the cultivar Al-Baraka to 39.13 (tolerant) for the cultivar Al-Hashimiya. However, the (TRI-l) values ranged from 36.59 (sensitive) for the cultivar Al-Noor to 39.52 (tolerant) for the cultivar Al-Hashimiya. The correlation coefficient (r2) between the (TRI-e) and cumulative very early/early planting date vigor response index was positively correlated (r2 = 0.70 for very early planting date (5-Oct) and r2 = 0.60 for early planting date (25-Oct). Furthermore, 76% of the total variation in the (TRI-l) was explained by the cumulative very late planting date vigor response index (CRI-vl) while just 49% of the total variation was explained by the cumulative late planting date vigor response index (CRI-l). Based on those results, wheat producers could select either tolerant cultivars for early planting or tolerant cultivars for late planting to maximize wheat production in their specific growing environments including planting dates.

Rice (Oryza sativa) is a human staple food and serves as a model organism for genetic and molecular studies. Few studies have been conducted to determine the effects of ultraviolet-B (UV-B) stress on rice. UV-B stress triggers morphological and physiological changes in plants. However, the underlying mechanisms governing these integrated responses are unknown. In this study, we conducted a proteomic response of rice leaves to UV-B stress using two-dimensional gel electrophoresis and identified the selected proteins by mass spectrometry analysis. Four levels of daily biologically effective UV-B radiation intensities were imposed to determine changes in protein accumulation in response to UV-B stress: 0 (control), 5, 10, and 15 kJ m−2 d−1in two cultivars, i.e., IR6 and REX. To mimic the natural environment, we conducted this experiment in Sunlit Soil-Plant-Atmosphere-Research (SPAR) chambers. Among the identified proteins, 11% of differentially expressed proteins were found in both cultivars. In the Rex cultivar, only 45% of proteins are differentially expressed, while only 27.5% were expressed in IR6. The results indicate that REX is more affected by UV-B stress than IR6 cultivars. The identified protein TSJT1 (spot 16) in both cultivars plays a crucial role in plant growth and development during stress treatment. Additionally, we found that UV-B stress altered many antioxidant enzymes associated with redox homeostasis and cell defense response. Another enzyme, the glyceraldehyde-3-phosphate dehydrogenase (GAPDH), has been identified as spot 15, which plays an essential role in glycolysis and cellular energy production. Another vital protein identified is glycosyl hydrolase (GH) as spot 9, which catalyzes the hydrolysis of glycosidic bonds in cell wall polymers and significantly affects cell wall architecture. Some identified proteins are related to photosynthesis, protein biosynthesis, signal transduction, and stress response. The findings of our study provide new insights into understanding how rice plants are tailored to UV-B stress via modulating the expression of UV-B responsive proteins, which will help develop superior rice breeds in the future to combat UV-B stress. Data are available via ProteomeXchange with identifier PXD032163.

Background and aim: Andrographis paniculata (Kalmegh), a valuable ancient medicinal herb is used in the treatment of several diseases in most Asian countries including India. Klebsiella pneumoniae is an opportunistic pathogen causing nosocomial infections in human. We have investigated the antimicrobial susceptibility and the presence of AmpC gene in K. pneumoniae strain isolated from the sputum of the patient. Experimental procedure: Antibiotic susceptibility test and phenotypic detection of AmpC/ESBL beta-lactamase were performed by combined disc diffusion test. The CEA of A. paniculata was analyzed for its antibacterial potential against susceptible and resistant strains of K. pneumoniae through the broth microdilution method. Molecular detection of AmpC gene was carried by polymerase chain reaction (PCR). Results: Antibiotic susceptibility test displayed that the clinical isolate of K. pneumoniae were resistant towards cephalosporins, quinolone and monobactam but susceptible to carbapenems. Combined disk diffusion demonstrated AmpC+ve/ESBL–ve beta-lactamase. 250 μg/ml of CEA extract confirmed the inhibition of bacterial growth and biofilm formation compared to the antibiotic. CEA treated K. pneumoniae displayed a reduction of AmpC by polymerase chain reaction. Conclusion: The present study illustrates that CEA extract of A. paniculata demonstrated potentiality to control K. pneumoniae growth and biofilm formation. CEA was able to suppress the expression of gene encoding AmpC. This study proves to be an economical approach to control the growth of K. pneumoniae which causes serious infections.

Drought stress is one of the most devastating abiotic factors limiting plant growth and development. Devising an efficient and rapid screening method at the seedling stage is vital in identifying genotypes best suited under drought conditions. An experiment was conducted to assess 74 rice genotypes for drought tolerance using specially designed mini-hoop structures. Two treatments were imposed on rice seedlings, including 100% moisture and a 50% moisture regime. Several shoot morpho-physiological traits and root traits were measured and analyzed. The genotypes exhibited a wide range of variability for the measured traits, with the leaf area showing the most significant variation, followed by plant height, tiller number, and shoot dry weight. In contrast, the drought did not significantly affect most root traits. The germplasm was classified into different categories using cumulative drought stress response indices (CDSRI); 19 genotypes (26%) were identified as drought sensitive, and 33 (45%), 15 (20%), and 7 (9%) were determined as low, moderately, and highly drought-tolerant, respectively. Genotypes IR86638 and IR49830 were the most and least drought-tolerant, respectively. Overall, a poor correlation was observed between CDSRI, total shoot traits (R2 = 0.36), and physiological parameters (R2 = 0.10). A strong linear correlation was found between CDSRI and root traits (R2 = 0.81), suggesting that root traits are more crucial and better descriptors in screening for drought tolerance. This study can help rice breeders and scientists to accelerate breeding by adopting a mini-hoop rapid screening method. The tolerant genotypes could serve as appropriate donor parents, progenies, and potential genotypes for developing drought-tolerant commercial cultivars.

An easy and rapid microwave-assisted green synthesis of silver nanoparticles (AgNPs) was carried out using aqueous bark extract of arjuna and their antibacterial and anti-biofilm potential was investigated. The AgNPs were characterized by various techniques .The FTIR data revealed the presence of plant organic constituents and metabolites bound to TA-AgNPs, which contributes for their stability. To elucidate the antibacterial efficacy and biofilm inhibition of Ta-AgNps against multidrug-resistant. Pathogenic E.coli harbouring the ESBLs. Treatment of TA-AgNps inhibited the growth of human pathogenic (both gram positive and gram negative) bacterial strains including Escherichia coli (ATCC 25922), Pseudomonas aeruginosa (ATCC 27853), Salmonella typhimurium (ATCC 14028), Proteus mirabilis (ATCC 35659), Acinetobacter baumannii (ATCC 19606) and Methicillin-Resistant Staphylococcus Aureus (MRSA). Further, the clinical isolates of E.coli that are resistant and susceptible to antibiotics are utilized to test the efficacy of TA-AgNps. In E.coli, ESBLS are responsible for antibiotic resistance. Moreover, docking study with T.arjuna phytochemical constituents confirmed that the phytochemical constituents present in TA-AgNPs interacted well with CTXM-15 and highest interaction was observed with tannic acid. Hence the expression of gene encoding CTXM-15 was screened in clinical isolates. Interestingly, the expression of CTXM-15 was not observed in samples treated with TA-AgNps. The results suggested that AgNPs of Terminalia arjuna bark extract can be used to control multidrug-resistant E.coli to prevent the antibiotic resistance. To the best of our knowledge, this is the first attempted study to show the effectiveness of Ta-AgNps against multidrug-resistant E.coli harbouring CTXM-15.

Silicon has been implicated as a factor affecting the degree of resistance to abiotic stresses in several plant species. However, the role of silicon in soybean (Glycine max) under water-limiting conditions is not yet fully understood. This study was conducted to evaluate the effects of silicon application on the vegetative growth of two soybean cultivars (Asgrow 5332 and Progeny 5333) grown under water-limiting conditions. Silicon was provided by adding silicate to the soil. Water-limiting treatments were imposed on plants at two vegetative growth stages for 20 days by irrigating with a reduced amount of water (66% or 33% of the required water). Silicate application enhanced plant height, leaf area, and total dry weight of soybean plants. Significant increases in root volumes were observed in both the silicate-treated cultivars compared to the control plants under water-limiting conditions (33% irrigation). Net photosynthesis and stomatal conductance were decreased, but the quantum efficiency of photosystem II (Fv’/Fm’) did not change under the same irrigation condition, which indicates photosynthesis downregulation through stomatal limitation. Silicate-treated plants in both cultivars had higher water use efficiency as compared to control plants under water-limiting conditions (irrigated with 66% or 33% of required water). Under water-limiting conditions, the soil moisture content was significantly higher in pots containing silicate than in those without added silicate, suggesting that silicon application improves water holding capacity. Taken together, the results from this study indicate that silicon application can improve the vegetative growth of soybeans under low water conditions by increasing the water use efficiency of plants and enhancing the soil’s ability to retain moisture.

Abstract Background A. paniculata is widely known for its medicinal values and is traditionally used to treat a wide range of diseases such as cancer, diabetes, skin infections, influenza, diarrhoea, etc. The phytochemical constituents of this plant possess unique and interesting biological activities. The main focus of this study was to evaluate the antibacterial property of crude ethyl acetate (CEA) extract of A. paniculata against E. coli clinical isolates along with molecular docking of 10 different bioactive components from this plant with CTX-M-15. Methods CEA extract was subjected to phytochemical and FTIR analysis. The E. coli isolates were tested for antibiotic susceptibility through disk-diffusion method to observe their resistance pattern towards different antibiotics. Antibacterial activity and biofilm assay were performed through broth microdilution using a 96-well microplate. CEA extract was further utilized to observe its effect on the expression of a gene encoding CTX-M-15. Finally, in-silico studies were performed where 10 different bioactive compounds from A. paniculata were molecularly docked with CTX-M-15. Results Phytochemical and FTIR analysis detected the presence of various secondary metabolites and functional groups in CEA extract respectively. Molecular docking provided the number of residues and bond lengths together with a positive docking score. Antibiotic susceptibility showed the multi-drug resistance of all the clinical strains of E. coli. The antibacterial and antibiofilm efficiency of CEA extract (25, 50 and 100 μg/ml) was tested and 100 μg/ml of the extract was more effective in all the strains of E. coli. All 3 ESBL producing strains of E. coli were subjected to gene expression analysis through PCR. Strains treated with 100 μg/ml of the extract showed a downregulation of the gene encoding CTX-M-15 compared to untreated controls. Conclusions The utilization of CEA extract of A. paniculata proved an economical way of controlling the growth and biofilm formation of ESBL strains of E. coli. CEA extract was also able to downregulate the expression of a gene encoding CTX-M-15. Molecular docking of 10 different bioactive compounds from A. paniculata with CTX-M-15 provided the residues and bond lengths with a positive docking score.

Abiotic stresses including drought, salinity, heat, cold, flooding, and ultraviolet radiation causes crop losses worldwide. In recent times, preventing these crop losses and producing more food and feed to meet the demands of ever-increasing human populations have gained unprecedented importance. However, the proportion of agricultural lands facing multiple abiotic stresses is expected only to rise under a changing global climate fueled by anthropogenic activities. Identifying the mechanisms developed and deployed by plants to counteract abiotic stresses and maintain their growth and survival under harsh conditions thus holds great significance. Recent investigations have shown that phytohormones, including the classical auxins, cytokinins, ethylene, and gibberellins, and newer members including brassinosteroids, jasmonates, and strigolactones may prove to be important metabolic engineering targets for producing abiotic stress-tolerant crop plants. In this review, we summarize and critically assess the roles that phytohormones play in plant growth and development and abiotic stress tolerance, besides their engineering for conferring abiotic stress tolerance in transgenic crops. We also describe recent successes in identifying the roles of phytohormones under stressful conditions. We conclude by describing the recent progress and future prospects including limitations and challenges of phytohormone engineering for inducing abiotic stress tolerance in crop plants.

Adsorption kinetics of dextromethorphan (DXM) syrup in simulated gastric and intestinal fluids onto activated charcoal (AC) were investigated in an in vitro model. The adsorption studies were performed as a function of time, initial concentration, and temperature. The quantification of DXM adsorbed onto AC was obtained from the Langmuir adsorption isotherms using HPLC. The maximum adsorption capacities (at 95% confidence limits) of AC for DXM were 111.615 [106.38; 126.85] mg in simulated intestinal environment (pH 6.8) and 78.314 [86.206; 70.422] mg in simulated gastric environment (pH 1.2). The adsorption capacity of AC for DXM in simulated gastric fluid (pH 1.2) was not significantly different from the adoption capacity of AC for DXM in simulated intestinal fluid (pH 6.8). Moreover, the adsorption kinetics behavior of dextromethorphan onto AC followed pseudo-second-order kinetics. Our results show that AC in therapeutically acceptable doses can be beneficial in the majority of oral overdose of DXM.

Abiotic stress is a primary threat to fulfill the demand of agricultural production to feed the world in coming decades. Plants reduce growth and development process during stress conditions, which ultimately affect the yield. In stress conditions, plants develop various stress mechanism to face the magnitude of stress challenges, although that is not enough to protect them. Therefore, many strategies have been used to produce abiotic stress tolerance crop plants, among them, ABA (abscisic acid) phytohormone engineering could be one of the methods of choice. ABA is an isoprenoid phytohormone, which regulates various physiological processes ranging from stomatal opening to protein storage and provides adaptation to many stresses like drought, salt, and cold stresses. ABA is also called an important messenger that acts as the signaling mediator for regulating the adaptive response of plants to different environmental stress conditions. In this review, we will discuss the role of ABA in response to abiotic stress at the molecular level and ABA signaling. The review also deals with the effect of ABA in respect to gene expression.

Objective: We studied the temporal course of hypothalamic–pituitary–adrenal (HPA) dysfunction in patients with coronavirus disease 2019 (COVID-19). Methods: Three hundred and two patients (median age 54 years (interquartile range (IQR) 42–64), 76% males) were recruited. The HPA axis was evaluated by morning cortisol and adrenocorticotrophic hormone (ACTH) at admission (n = 232). Adrenal insufficiency (AI) during acute illness was defined using a morning cortisol

The paper explores the potential of CRM as a strategic element (along with performance, customer and bank perspectives, and demographic changes) for employee retention (using the Indian banking system as an example). The banking industry was chosen for this study because it is a service sector where transactions involving sensitive products (financial instruments) attract maximum attention from both employees and customers in the long run. To achieve this goal, the authors identified the main factors of customer relationship management that make it effective. The study investigated the relationship between CRM practices, the efficiency of banking operations, and the retention of bank employees. The analysis showed that bank employees have a much greater potential to influence the effectiveness of its activities than clients. Therefore, banks’ management should pay more attention to the recruitment of personnel, not only to the CRM system. The article specifically investigated the rationality of the relationship between CRM, bank branch efficiency, employee retention, and demographic variables. This allowed for several options for banks’ strategies in forming a stable staff of employees to be proposed. An important result of the study was the justification of the modification and addition of the ISM (Interpretive Structural Modelling) mechanism, which received a new name - RISM (Rational Interpretive Structural Modelling). Without violating the basic rules of ISM, the new mechanism allows to achieve better results, as it enables the development of a strategy for independent variables with a more accurate prediction of results.

Employee of any organization starts his/her recognitions from the society that ultimately reach the organization, where he/she earns the livelihood. So, the resiliency of an employee (sales-force of any commercial organization in this study) should be understood on the touch-points of salesemployee with society. On this context, the main purpose of this study is to explore the strategic relationships of social communication, social change, and social engagement of the sales-employees to build the concerned employees’ resiliency. With the descriptive research design, this research-work is intended to study the above said relationship by extensive literature review. Major outcomes of this study refer that social communication in varying level makes the employee of an organization engage with the social activities and simultaneously develop the psychological adjustment of the concerned sales-employee towards social change. Finally, the social engagement and self-accommodation to the social change build the resilient sales-force of the concerned retail organization. A conceptual model is developed that justifies the above outcomes, which is the major contribution or novelty of this study. Thus, the industrial implication of the said outcomes is that any commercial organization should develop the social orientation of their sales-force by developing their social communication continuously, which in turn enables the concerned sales-employees for better adoptability to any social changes, for insulate themselves for adverse social (market) conditions, and for productive social engagement in the marketing orientations. The said causal relationship ultimate give the return to the organization in the form of resilient sales-force. And, social implication refers that the society will be aware of the truth regarding the functioning of sales-functions of organization in the context of social contribution of those organizations.

Blood samples from 180 birds pertaining to a single generation of PB1 parent line were collected for present study. The birds were raised under standard management and different growth variables were recorded up to 20 weeks of age. Age at first egg and egg production till 40 weeks of age was recorded in females. PCR-RFLP analysis was used to screen individuals with polymorphisms in IGF1 promoter region and three genotypes AA, AC and CC were identified at frequencies of 0.79, 0.18 and 0.03, respectively. CC homozygotes were lower with respect to their performance in growth and fertility traits. Sequencing results of both alleles revealed T244G transversion mutation in the C allele. Gene regulation analysis confirmed that such transversion resulted in non-binding of Oct-1 transcription factor at 241 to 250 bp in C allele, causing down regulation of the gene. The mutations in the promoter sequence affected the transcriptional gene regulation affecting growth and fertility performance.

The last three years have been the most challenging for humanity due to the COVID-19 pandemic. The novel viral infection has eventually been able to infect most of the human population. It is now considered to be in the endemic stage, meaning it will remain in our world throughout our lifetime. There will be an intermittent outbreak of the COVID infection from time to time. Therefore, it is necessary to formulate a robust Mathematical model to study the dynamics of disease to have a control mechanism in place. In this article, we suggest a modified MSEIR model to explain the dynamics of COVID-19 infection. We assume that a susceptible person contracting the coronavirus develops a transient immunity to the illness. Further, infectives comprise asymptomatic, symptomatic, hospitalized and quarantined individuals. We assume that the incidence rate is of standard type, and susceptible can only become infective if they come in contact with either asymptomatic or symptomatic individuals. This basic and simple model effectively models the various waves every country has seen during the Pandemic. The simple analysis shows that the model could suggest various waves in future if we carefully select the incidence rate for the infection. In summary, we have discussed the following major points in this article. • We have analysed for local behavior infection-free equilibrium solution. Further, a thorough numerical exploration with various parameter settings has been performed to obtain the different cases of infection dynamics of the coronavirus epidemic. • We have found some interesting scenarios which explain the emergence of multiple waves observed in many countries.

Considering the significant role of global methane emissions in the Earth’s radiative budget, global or regionally persistent increasing trends in its emission are of great concern. Understanding the regional contributions of various emissions sectors to the growth rate thus has policy relevance. We used a high-resolution global methane inverse model to independently optimize sectoral emissions using GOSAT and ground-based observations for 2009–2020. Annual emission trends were calculated for top-emitting countries, and the sectoral contributions to the total anthropogenic trend were studied. Global total posterior emissions show a growth rate of 2.6 Tg yr ^−2 ( p < 0.05), with significant contributions from waste (1.1 Tg yr ^−2 ) and agriculture (0.9 Tg yr ^−2 ). Country-level aggregated sectoral emissions showed statistically significant ( p < 0.1) trends in total posterior emissions for China (0.56 Tg yr ^−2 ), India (0.22 Tg yr ^−2 ), United States (0.65 Tg yr ^−2 ), Pakistan (0.22 Tg yr ^−2 ) and Indonesia (0.28 Tg yr ^−2 ) among the top methane emitters. Emission sectors contributing to the above country-level emission trend are, China (waste 0.35; oil and gas 0.07 Tg yr ^−2 ), India (agriculture 0.09; waste 0.11 Tg yr ^−2 ), United States (oil and gas 1.0; agriculture 0.07; coal −0.15 Tg yr ^−2 ), Brazil (waste 0.09; agriculture 0.08 Tg yr ^−2 ), Russia (waste 0.04; biomass burning 0.15; coal 0.11; oil and gas −0.42 Tg yr ^−2 ), Indonesia (coal 0.28 Tg yr ^−2 ), Canada (oil and gas 0.08 Tg yr ^−2 ), Pakistan (agriculture 0.15; waste 0.03 Tg yr ^−2 ) and Mexico (waste 0.04 Tg yr ^−2 ). Additionally, our analysis showed that methane emissions from wetlands in Russia (0.24 Tg yr ^−2 ) and central African countries such as Congo (0.09 Tg yr ^−2 ), etc. have a positive trend with a considerably large increase after 2017, whereas Bolivia (−0.09 Tg yr ^−2 ) have a declining trend. Our results reveal some key emission sectors to be targeted on a national level for designing methane emission mitigation efforts.

Abstract In this study, we present a first-ever effort made to develop an ultra-high-resolution gridded emission inventory (i.e. ~ 0.4 km × ~ 0.4 km) for the Indian megacity Kolkata. As the rising demand for fossil fuels based energy along with the spread of urban corridors have forced the anthropogenic activities to a mounting level, therefore determining the sources responsible is of paramount importance. This has worsened not only the regional air quality but also has an indirect effect on the global air quality. The spatial and temporal variation of the source requires an accurate estimation of the surface emission which is the most essential parameter to study the air quality, that positively has been fulfilled in this study. The annual emission for 2020 is calculated to be 37.2 Gg/yr of PM2.5, 61.4 Gg/yr of PM10, 222.6 Gg/yr of CO, 131.3 Gg/yr of NOx, 60.3 Gg/yr of SO2, 120.4 Gg/yr of VOC, 9.5 Gg/yr of BC and 16.8 Gg/yr of OC that prevails in the toxic air of megacity Kolkata. The present surface chemistry dataset will be the first line of detailed information regarding emission hotspots in the megacity that could be used as important tool for clean air mitigation strategies, input into the air quality modeling study to tackle environmental issues, and public health. Article Highlights Identification of sources of pollutants through spatially resolved high-resolution inventory in megacity Kolkata. Unlike transport and industrial sector, municipal solid waste burning has emerged as another big source. Present information is vital for policy making to mitigate air quality issues and modeling studies.

Volatile organic compounds including benzene, toluene, ethyl benzene, and xylene (BTEX) in the atmosphere have severe health and environmental implications. These variables are trace elements in the atmosphere. There are not enough measurement and analysis studies related to atmospheric BTEX variation globally, and studies are even less in developing countries like India. The present study analyses BTEX variations over an eastern Indian site, Bhubaneswar. The continuous measurement of BTEX is first of its kind over Bhubaneswar. The study analyses 2 years of BTEX data (2017–2018), and attempts to find the relation with meteorological parameters, the significance of the ratio between components, along with the analysis of transported air masses. To account for the pattern of emissions in association with BTEX variability over Bhubaneswar, we have also developed emission details from the transportation sector for the year 2018 and analyzed the emission patterns of CO and NOx for the year 2018. The results indicated that BTEX concentrations are maintained at the site via transportation from other regions, with significant local generation of BTEX, which is smaller in comparison to the transported emission.

Manufacturing and mining sectors are serious pollution sources and risk factors that threaten air quality and human health. We analyzed pollutants at two study sites (Talcher and Brajrajnagar) in Odisha, an area exposed to industrial emissions, in the pre-COVID-19 year (2019) and consecutive pandemic years, including lockdowns (2020 and 2021). We observed that the annual data for pollutant concentration increased at Talcher: PM2.5 (7–10%), CO (29–35%), NO2 and NOx (8–57% at Talcher and 14–19% at Brajrajnagar); while there was slight to substantial increase in PM10 (up to 11%) and a significant increase in O3 (41–88%) at both sites. At Brajrajnagar, there was a decrease in PM2.5 (up to 15%) and CO (around half of pre-lockdown), and a decrease in SO2 concentration was observed (30–86%) at both sites. Substantial premature mortality was recorded, which can be attributed to PM2.5 (16–26%), PM10 (31–43%), NO2 (15–21%), SO2 (4–7%), and O3 (3–6%). This premature mortality caused an economic loss between 86–36 million USD to society. We found that although lockdown periods mitigated the losses, the balance of rest of the year was worse than in 2019. These findings are benchmarks to manage air quality over Asia’s largest coalmine fields and similar landscapes.

In this paper, a delayed human immunodeficiency virus (HIV) model with apoptosis of cells has been studied. Both immunological and intracellular delay have been incorporated to make the model more relevant. Firstly, the model has been investigated using local stability analysis. Next, the global stability analysis of steady states has been performed. The stability switch criteria taking the delay as the bifurcating parameter, leading to Hopf bifurcation has been studied. The transition of the system from order to chaos has been explored, and the analytical results have been verified by numerical simulations. The results thus can be used to describe the extensive dynamics exhibited by the model introduced in this article. The effects of apoptosis on viral load has been studied in the model numerically.

Objective: The present study was to investigate the antiasthmatic potential from the flavonoid fraction of Apium leptophyllum fruit (FFALF) to validate its traditional claim. Materials and Methods: The antiasthmatic activity of FFALF was evaluated by histamine or acetylcholine-induced bronchospasm model in guinea pigs, compound 48/80 induced mast cell degranulation in albino rats and histamine-induced tracheal contraction in guinea pig. The preconvulsion dyspnea time at 0th and 7th day at the dose of 100 and 200 mg/kg in guinea pig's bronchospasm model, the percentage of granulated and degranulated mast cell at the dose of 500, 750, and 1000 μg/ml in rats and tracheal contraction at the dose of 500, 750, and 1000 μg/ml in guinea pig were measured and compared with respective control groups. Results: The treatments of FFALF were significantly (P < 0.001) decreased the histamine/acetylcholine-induced bronchospasm, mast cell degranulation, and histamine-induced tracheal contraction as compared to inducer group. In addition, FFALF showed dose-dependent antiasthmatic activity in all the animals. Conclusion: Hence, this study suggested that the FFALF showed antiasthmatic activity probably by membrane stabilizing property as well as suppressing antibody production and inhibiting of antigen induced by histamine and acetylcholine.