Insights into the formation of secondary organic aerosols from agricultural residue burning emissions: A review of chamber-based studies.

Organic aerosols (OA) are a significant component of fine particulate matter in the ambient air and are formed through primary and secondary processes. Primary organic aerosols (POA) are directly released from sources, while secondary organic aerosols (SOA) are formed through the oligomerization and/or oxidation of volatile organic compounds (VOCs) in the atmosphere. Recently, there has an increasing attention on the SOA budgets, their formation pathways, and photochemical evolution due to their impacts on climate and human health. Biomass burning (BB) is a significant source of OA, contributing around 5-30 % to the SOA burden globally. Agricultural residue burning (ARB) is a type of BB that contributes ∼10 % of total atmospheric OA mass worldwide, whereas it contributes higher in Asian regions like China and India. ARB emits a significant amount of air pollutants, including VOCs, into the atmosphere. However, there is inadequate information on the transformation of ARB emissions to SOA due to limited laboratory studies. The present review focuses on the formation mechanism of SOA from ARB emissions, summarizing the current state of the art about ARB precursors and their oxidation products from chamber-based studies, including measurement methods and analytical instrumentation. The review also discusses the role of different types of oxidants in OA mass enhancement, factors affecting the overall SOA yield, and the uncertainties involved in the process.

Absent right superior vena cava and persistent left superior vena cava: An incidental finding.

A patient with Marfan syndrome undergoing Bentall operation was found to have an absent right superior vena cava and persistent left superior vena cava. The dilation of coronary sinus raised the suspicion of persistent left superior vena cava. The diagnosis was confirmed by agitated saline contrast echocardiography and computed tomography of the chest.

Analyses of Elaeocarpus sphaericus Extract for Antioxidant, Antiproliferative and Gene Repression Activities against HIF-1α and VEGF.

The study presents antioxidant, phytochemical, anti-proliferative, and gene repression activities against Hypoxia-inducible factor (HIF-1) alpha and Vascular endothelial growth factor (VEGF) of Elaeocarpus sphaericus extract. Elaeocarpus sphaericus dried and crushed plant leaves were extracted using water and methanol by ASE (Accelerated Solvent Extraction) method. Total phenolic content (TPC) and total flavonoid content (TFC) were used to measure the extracts' phytochemical activity (TFC). Antioxidant potential of the extracts was measured through DPPH, ABTS, FRAP, and TRP. Methanolic extract of the leaves of E. sphaericus has shown a higher amount of TPC (94.666±4.040 mg/gm GAE) and TFC value (172.33±3.21 mg/gm RE). The antioxidant properties of extracts in the yeast model (Drug Rescue assay) showed promising results. Ascorbic acid, gallic acid, hesperidin, and quercetin were found in the aqueous and methanolic extracts of E. sphaericus at varying amounts, according to a densiometric chromatogram generated by HPTLC analysis. Methanolic extract of E. sphaericus (10 mg/ml) has shown good antimicrobial potential against all bacterial strains used in the study except E. coli. The anticancer activity of the extract in HeLa cell lines ranged from 77.94±1.03 % to 66.85±1.95 %, while it ranged from 52.83±2.57 % to 5.44 % in Vero cell lines at varying concentration (1000 µg/ml-31.2 µg/ml). A promising effect of extract was observed on the expression activity of HIF-1 and VEGF gene through RT-PCR assay.

A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE).

The paper aims to propose a futuristic educational and learning framework called CO-MATE (Collaborative Metaverse-based A-La-Carte Framework for Tertiary Education). The architectural framework of CO-MATE was conceptualized in a four-layered approach which depicts various infrastructure and service layer functionalities. CO-MATE is a technologically driven educational metaverse environment involving loosely coupled building blocks to provide an a-la-carte model for platform designers. For this, the authors had undertaken a systematic mapping study of the pre/post-COVID period to review the application of various emerging technologies. Further, the paper also discusses the core attributes and component offerings of CO-MATE for a technology-driven and automated immersive-learning environment and exemplifies the same through various use cases.

Wintertime aerosol properties of urban desert region of western India: Implications in regional climate assessment.

This study assessed the inter-relation between physiochemical and optical characteristics of aerosols measured at a desert-urban region affected by anthropogenic sources and desert dust during October 2020 to January 2021. Based on horizontal visibility and measured PM2.5 concentration, clear (37 %), light (33 %) and high (31 %) pollution periods were identified. Elemental and organic carbon (50 ± 15 µgm-3; 31 %) and secondary inorganics (53 ± 21 µgm-3; 33 %) dominated the PM2.5 mass (160 ± 4 µgm-3) during high pollution period with low dust (14 ± 7 µgm-3; 8 %) content. Interestingly, the clear pollution period was also influenced by carbonaceous fraction (19 ± 8 µgm-3; 32 %) and secondary inorganics (19 ± 5 µgm-3; 32 %), but the PM2.5 concentrations (59 ± 9 µgm-3) were ∼ one-third as compared to high pollution period. High scattering coefficients were observed which were comparable to highly polluted Indian city like Delhi. An exponential increase in non-absorbing material was observed and showed clear influence on light absorption capacity of EC and dust due to coating/mixing. High absorption Ångström exponent (AAE) >0.6 was observed for the ratio of non-absorbing to light absorbing components (LAC) in the range of 1-2.5 and EC/PM2.5 fraction of 7-14 %. While further increase in non-absorbing to absorbing components ratio > 4 and low amount of EC (<4 %) tend to decrease AAE below 0.4. Higher mass absorption cross-section (>30 m2g-1 of EC) was observed when 4-10 % EC fraction of PM2.5 associated with 1.5-3.5 times non-absorbing components to total absorbing components. Likewise, absorption enhanced by three to five folds compared to uncoated EC for low EC fraction (3-6 %) in PM2.5, but high non-absorbing to absorbing component ratio (>2.5). Interestingly, absorption was minimally amplified for nominal coating fraction associated with significant core materials or vice-versa. These findings have implications not only in regional climate assessment but also for other regions with comparable geography and source-mixes.

Automated Quantification of Inflamed Lung Regions in Chest CT by UNet++ and SegCaps: A Comparative Analysis in COVID-19 Cases.

During the current COVID-19 pandemic, a high volume of lung imaging has been generated in the aid of the treating clinician. Importantly, lung inflammation severity, associated with the disease outcome, needs to be precisely quantified. Producing consistent and accurate reporting in high-demand scenarios can be a challenge that can compromise patient care with significant inter- or intra-observer variability in quantifying lung inflammation in a chest CT scan. In this backdrop, automated segmentation has recently been attempted using UNet++, a convolutional neural network (CNN), and results comparable to manual methods have been reported. In this paper, we hypothesize that the desired task can be performed with comparable efficiency using capsule networks with fewer parameters that make use of an advanced vector representation of information and dynamic routing. In this paper, we validate this hypothesis using SegCaps, a capsule network, by direct comparison, individual comparison with CT severity score, and comparing the relative effect on a ML(machine learning)-based prognosis model developed elsewhere. We further provide a scenario, where a combination of UNet++ and SegCaps achieves improved performance compared to individual models.

An ML prediction model based on clinical parameters and automated CT scan features for COVID-19 patients.

Outcome prediction for individual patient groups is of paramount importance in terms of selection of appropriate therapeutic options, risk communication to patients and families, and allocating resource through optimum triage. This has become even more necessary in the context of the current COVID-19 pandemic. Widening the spectrum of predictor variables by including radiological parameters alongside the usually utilized demographic, clinical and biochemical ones can facilitate building a comprehensive prediction model. Automation has the potential to build such models with applications to time-critical environments so that a clinician will be able to utilize the model outcomes in real-time decision making at bedside. We show that amalgamation of computed tomogram (CT) data with clinical parameters (CP) in generating a Machine Learning model from 302 COVID-19 patients presenting to an acute care hospital in India could prognosticate the need for invasive mechanical ventilation. Models developed from CP alone, CP and radiologist derived CT severity score and CP with automated lesion-to-lung ratio had AUC of 0.87 (95% CI 0.85-0.88), 0.89 (95% CI 0.87-0.91), and 0.91 (95% CI 0.89-0.93), respectively. We show that an operating point on the ROC can be chosen to aid clinicians in risk characterization according to the resource availability and ethical considerations. This approach can be deployed in more general settings, with appropriate calibrations, to predict outcomes of severe COVID-19 patients effectively.

Recent advances in biofuel production through metabolic engineering.

Rising global energy demands and climate crisis has created an unprecedented need for the bio-based circular economy to ensure sustainable development with the minimized carbon footprint. Along with conventional biofuels such as ethanol, microbes can be used to produce advanced biofuels which are equivalent to traditional fuels in their energy efficiencies and are compatible with already established infrastructure and hence can be directly blended in higher proportions without overhauling of the pre-existing setup. Metabolic engineering is at the frontiers to develop microbial chassis for biofuel bio-foundries to meet the industrial needs for clean energy. This review does a thorough inquiry of recent developments in metabolic engineering for increasing titers, rates, and yields (TRY) of biofuel production by engineered microorganisms.

Withania somnifera as an Adjunctive Treatment for Refractory Restless Legs Syndrome in Parkinson's Disease: A Case Report.

Non-motor symptoms of Parkinson's disease (PD), such as insomnia and restless legs syndrome (RLS), tend to worsen and become refractory as neurodegeneration progresses. We report the case of a 72-year-old female with a six-year history of PD and two-and-half-year history of insomnia and refractory RLS. We added a neuroprotective agent, Withania somnifera, to the existing treatment regimen for her insomnia. Besides the partial remission of her insomnia and motor symptoms of PD, there was a complete reversal of the RLS symptoms. Withania somnifera has been shown to improve PD symptoms by preventing oxidative damage of the nigrostriatal dopaminergic neurons and improving dopamine levels in the midbrain and corpus striatum. Our case provides the first-time evidence where Withania somnifera added for insomnia caused a complete remission of refractory RLS, possibly due to its anti-apoptotic and pro-dopaminergic actions. Withania somnifera could prove beneficial in cases where the disease advances but further addition of dopamine agonists for refractory RLS is not possible due to the risk of dopamine augmentation.

Transition metal dichalcogenides integrated waveguide modulator and attenuator in silicon nitride platform.

Embedding transition metal dichalcogenides (TMDs) into optical devices enhance the light-matter interaction, which holds a great promise for designing compact integrated photonic components. The chemical composition and thickness of TMDs affect their electronic and optical properties. The optical properties demonstrate stable and strong gate tunable optical response near the excitonic transitions. These materials are, therefore, promising candidates for designing electro-optic modulators and attenuators. Here, an electro-absorption modulator is investigated based on integrating different TMD monolayers on silicon nitride waveguides near the excitonic binding energy. A comparison of absorption changes due to electrostatically induced charges in MoS2, MoSe2, WS2, WSe2, and graphene has been presented for modulator design. The results show that with the confinement factor of about 0.10% in the monolayer TMDs, the modulation strength is 10x higher in WS2 as compared to the graphene-based modulator design. The WS2 based modulator shows the highest modulation strength with an improvement by a factor of 5 as compared to Mo based designs. Further, the change in the spectral response of these materials with thickness and chemical composition has been exploited for the design of attenuator. A micro-opto-mechanical system technology with TMD integrated supersubstrate above a Si3N4 waveguide affecting the optical response is investigated. By replacing the TMD in the supersubstrate with Se atom instead of S in the MX2 and WX2 compound, the attenuation is shifted from visible to near-infrared range allowing tuning from 620 to 750 nm. The tuning of the attenuation wavelength will help the designer choose the best material for visible light photonic applications.

Expression of catalytically efficient xylanases from thermophilic fungus Malbranchea cinnamomea for synergistically enhancing hydrolysis of lignocellulosics.

In this study, two xylanase genes (GH10 and GH11) derived from Malbranchea cinnamomea, designated as XYN10A_MALCI and XYN11A_MALCI, respectively, were expressed in Pichia pastoris X33. The maximum level of xylanase expression was found to be 24.3U/ml for rXYN10A_MALCI and 573.32U/ml for rXYN11A_MALCI. The purified recombinant rXYN11A_MALCI was stable at 70°C and catalytically active against a variety of substituted (arabinoxylans) as well as unsubstituted xylans. The hydrolytic potential of recombinant xylanases for enhancing the hydrolysis of acid/alkali pretreated lignocellulosics (rice straw and bagasse) by the commercial cellulase Cellic CTec2 was assessed which revealed that both rXYN10A_MALCI and rXYN11A_MALCI act synergistically with commercial cellulases and resulted in 1.54 and 1.58 folds improved hydrolysis of acid treated rice straw and alkali treated rice straw using cocktail comprising of Cellic CTec2 and XYN11A_MALCI (8:2 ratio) when compared to Cellic CTec2 alone at same protein loading rate of (∼5.7mg/g biomass).

Recombinant thermo-alkali-stable endoglucanase of Myceliopthora thermophila BJA (rMt-egl): Biochemical characteristics and applicability in enzymatic saccharification of agro-residues.

Codon adaptation index (CAI) of a 1263bp long endoglucanase encoding gene from the thermophilic mould Myceliopthora thermophile BJA has been improved from 0.44 to 0.76 by in vitro gene synthesis. The codon optimized endoglucanase gene (Mt-egl) has been constitutively expressed in Pichia pastoris under the regulation of GAP promoter. Recombinant endoglucanase (rMt-egl), purified by size exclusion chromatography, has been confirmed to be a monomeric protein of ∼47kDa. rMt-egl is optimally active at pH 10 and 50°C, displaying stability in broad pH and temperature ranges, with a t1/2 of 60 and 15min at 90 and 100°C, respectively. This retained ∼70% of activity after 3h incubation at pH 5-12. The Km, Vmax, kcat and kcat/Km of rMt-egl were 5mgmL-1, 20µmolesmin-1mg-1, 1.02×103s-1 and 204s-1mg-1mL-1, respectively. Homology modeling and bioinformatics analysis confirmed catalytically important role of glutamate 234 and 344. rMt-egl released high amounts of reducing sugars from wheat bran and corn cobs (421 and 382mgg-1), thus making it a useful biocatalyst for producing bioethanol and fine chemicals from agro-residues.

An arsenate-reducing and alkane-metabolizing novel bacterium, Rhizobium arsenicireducens sp. nov., isolated from arsenic-rich groundwater.

A novel arsenic (As)-resistant, arsenate-respiring, alkane-metabolizing bacterium KAs 5-22T, isolated from As-rich groundwater of West Bengal was characterized by physiological and genomic properties. Cells of strain KAs 5-22T were Gram-stain-negative, rod-shaped, motile, and facultative anaerobic. Growth occurred at optimum of pH 6.0-7.0, temperature 30 °C. 16S rRNA gene affiliated the strain KAs 5-22T to the genus Rhizobium showing maximum similarity (98.4 %) with the type strain of Rhizobium naphthalenivorans TSY03bT followed by (98.0 % similarity) Rhizobium selenitireducens B1T. The genomic G + C content was 59.4 mol%, and DNA-DNA relatedness with its closest phylogenetic neighbors was 50.2 %. Chemotaxonomy indicated UQ-10 as the major quinone; phosphatidylethanolamine, phosphatidylglycerol, and diphosphatidylglycerol as major polar lipids; C16:0, C17:0, 2-OH C10:0, 3-OH C16:0, and unresolved C18:1 É·7C/É·9C as predominant fatty acids. The cells were found to reduce O2, As5+, NO3-, SO42- and Fe3+ as alternate electron acceptors. The strain's ability to metabolize dodecane or other alkanes as sole carbon source using As5+ as terminal electron acceptor was supported by the presence of genes encoding benzyl succinate synthase (bssA like) and molybdopterin-binding site (mopB) of As5+ respiratory reductase (arrA). Differential phenotypic, chemotaxonomic, genotypic as well as physiological properties revealed that the strain KAs 5-22T is separated from its nearest recognized Rhizobium species. On the basis of the data presented, strain KAs 5-22T is considered to represent a novel species of the genus Rhizobium, for which the name Rhizobium arsenicireducens sp. nov. is proposed as type strain (=LMG 28795T=MTCC 12115T).

Recombinant exochitinase of the thermophilic mould Myceliopthora thermophila BJA: Characteristics and utility in generating N-acetyl glucosamine and in biocontrol of phytopathogenic fungi.

Chitinase from the thermophilic mould Myceliopthora thermophila BJA (MtChit) is an acid tolerant, thermostable and organic solvent stable biocatalyst which does not require any metal ions for its activity. To produce high enzyme titres, reduce fermentation time and overcome the need for induction, this enzyme has been heterologously expressed under GAP promoter in the GRAS yeast, Pichia pastoris. The production medium supplemented with the permeabilizing agent Tween-20 supported two-fold higher rMtChit production (5.5 × 103 U L-1 ). The consensus sequences S(132)xG(133)G(134) and D(168)xxD(171)xD(173)xE(175) in the enzyme have been found to represent the substrate binding and catalytic sites, respectively. The rMtChit, purified to homogeneity by a two-step purification strategy, is a monomeric glycoprotein of ∼48 kDa, which is optimally active at 55°C and pH 5.0. The enzyme is thermostable with t1/2 values of 113 and 48 min at 65 and 75°C, respectively. Kinetic parameters Km , Vmax , kcat , and kcat /Km of the enzyme are 4.655 mg mL-1 , 34.246 nmol mg-1  s-1 , 3.425 × 106 min-1 , and 1.36 × 10-6 mg mL-1  min-1 , respectively. rMtChit is an unique exochitinase, since its action on chitin liberates N-acetylglucosamine NAG. The enzyme inhibits the growth of phytopathogenic fungi like Fusarium oxysporum and Curvularia lunata, therefore, this finds application as biofungicide at high temperatures during summer in tropics. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 33:70-80, 2017.

Acetone and methanol fruit extracts of Terminalia paniculata inhibit HIV-1 infection in vitro.

In this study, we report the in vitro anti-HIV1 activity of acetone and methanol extracts of fruit of Terminalia paniculata. Cytotoxicity tests were conducted on TZM-bl cells and peripheral blood mononuclear cells (PBMC), the CC50 values of both the extracts were ≥260 µg/mL. Using TZM-bl cells, the extracts were tested for their ability to inhibit replication of two primary isolates HIV-1 (X4, Subtype D) and HIV-1 (R5, Subtype C). The activity against HIV-1 primary isolate (R5, Subtype C) was confirmed using activated PBMC and by quantification of HIV-1 p24 antigen. Both the extracts showed anti-HIV1 activity in a dose-dependent manner. The EC50 values of the acetone and methanol extracts of T. paniculata were ≤10.3 µg/mL. The enzymatic assays were performed to determine the mechanism of action which indicated that the anti-HIV1 activity might be due to inhibition of reverse transcriptase (≥77.7% inhibition) and protease (≥69.9% inhibition) enzymes.

Bifunctional recombinant cellulase-xylanase (rBhcell-xyl) from the polyextremophilic bacterium Bacillus halodurans TSLV1 and its utility in valorization of renewable agro-residues.

The thermostable bifunctional CMCase and xylanase encoding gene (rBhcell-xyl) from Bacillus halodurans TSLV1 has been expressed in Escherichia coli. The recombinant E. coli produced rBhcell-xyl (CMCase 2272 and 910 U L-1 xylanase). The rBhcell-xyl is a ~62-kDa monomeric protein with temperature and pH optima of 60 °C and 6.0 with T1/2 of 7.0 and 3.5 h at 80 °C for CMCase and xylanase, respectively. The apparent K m values (CMC and Birchwood xylan) are 3.8 and 3.2 mg mL-1. The catalytic efficiency (k cat/K m ) values of xylanase and CMCase are 657 and 171 mL mg-1 min-1, respectively. End-product analysis confirmed that rBhcell-xyl is a unique endo-acting enzyme with exoglucanase activity. The rBhcell-xyl is a GH5 family enzyme possessing single catalytic module and carbohydrate binding module. The action of rBhcell-xyl on corn cobs and wheat bran liberated reducing sugars, which can be fermented to bioethanol and fine biochemicals.