A microfluidic route for synthesis of scandium oxide microspheres, their characterization and neutron activation.

Radioactive scandium-46 microspheres have applications in mapping flow in a chemical reactor through a technique known as radioactive particle tracking (RPT). In the present study a novel microfluidic method has been developed for synthesis of controlled size scandium oxide microspheres. An inline/in-situ mixing of the scandium precursor and gelling agents was implemented which makes the microfluidic platform amenable for truly continuous operation. Microspheres of size varying from 937 to 666 µm were produced by varying O/A ratio from 10 to 30. Perfectly spherical and monodispersed (PDI <10 %) microspheres were obtained at O/A 15 and beyond. The morphology, elemental composition, and structure of the microspheres were analysed by SEM, EDS and XRD, respectively. Subsequently the microspheres were irradiated with thermal neutrons in a nuclear reactor to obtain radioactive Sc-46 oxide microspheres. The activity produced on each Sc-46 microspheres with different sizes was in the range 19.5-34.0 MBq.

Usefulness of the outer membrane proteins of Shigella sonnei in developing an antibody-based immunoassay for the diagnosis of shigellosis.

Conventional culture method and biochemical tests remain as the 'gold standard' method for the identification of S. sonnei which are time-consuming. We have discovered previously the potential of three OMPs of S. sonnei (33.3 kDa, 43.8 kDa and 100.3 kDa) as biomarkers in the diagnostic test for shigellosis. Here, we evaluated the performance of the outer membrane proteins of S. sonnei for the development of an antibody-based immunoassay for the detection of S. sonnei infections. All threetarget proteins were specifically recognized when probed with S. sonnei sera. In addition, another two potential proteins of molecular weight 29.0 kDa and 88.2 kDa in size were also exclusively recognized by the IgA when probed with S. sonnei sera. The optimized ELISA demonstrated higher sensitivity and specificity which exceeded 86.0%. In conclusion, the identified target proteins showed great potential as diagnostic biomarkers for the detection of S. sonnei infections in patients.

Usefulness of the outer membrane proteins of Shigella sonnei in developing an antibody-based immunoassay for the diagnosis of shigellosis

@#Conventional culture method and biochemical tests remain as the ‘gold standard’ method for the identification of S. sonnei which are time-consuming. We have discovered previously the potential of three OMPs of S. sonnei (33.3 kDa, 43.8 kDa and 100.3 kDa) as biomarkers in the diagnostic test for shigellosis. Here, we evaluated the performance of the outer membrane proteins of S. sonnei for the development of an antibody-based immunoassay for the detection of S. sonnei infections. All threetarget proteins were specifically recognized when probed with S. sonnei sera. In addition, another two potential proteins of molecular weight 29.0 kDa and 88.2 kDa in size were also exclusively recognized by the IgA when probed with S. sonnei sera. The optimized ELISA demonstrated higher sensitivity and specificity which exceeded 86.0%. In conclusion, the identified target proteins showed great potential as diagnostic biomarkers for the detection of S. sonnei infections in patients.

Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques.

Rain garden is effective in reducing storm water runoff, whose efficiency depends upon several parameters such as soil type, vegetation and meteorological factors. Evaluation of rain gardens has been done by various researchers. However, knowledge for sound design of rain gardens is still very limited, particularly the accurate modeling of infiltration rate and how much it differs from infiltration of natural ground surface. The present study uses experimentally observed infiltration rate of rain gardens with different types of vegetation (grass, candytuft, marigold and daisy with different plant densities) and flow conditions. After that, modeling has been done by the popular infiltration model i.e. Philip's model (which is valid for natural ground surface) and soft computing tools viz. Gradient Boosting Machine (GBM) and Deep Learning (DL). Results suggest a promising performance (in terms of CC, RMSE, MAE, MSE and NSE) by GBM and DL in comparison to the relation proposed by Philip's model (1957). Most of the values predicted by both GBM and DL are within scatter limits of ±5%, whereas the values by Philips model are within the range of ±25% error lines and even outside. GBM performs better than DL as the values of the correlation coefficients and Nash-Sutcliffe model efficiency (NSE) coefficient are the highest and the root mean square error is the lowest. The results of the study will be useful in selection of plant type and its density in the rain garden of the urban area.

Spread of virus laden aerosols inside a moving sports utility vehicle with open windows: A numerical study.

A three dimensional Computational Fluid Dynamics (CFD) model to study the dispersion of virus laden aerosols in a car moving with its windows open is reported. The aerosols are generated when a possibly infected passenger speaks. A sports utility vehicle having three rows of seats has been considered. As the vehicle moves forward, its interior will exchange air from the surroundings. The CFD model captures the flow patterns generated both outside and inside the vehicle. This internal aerodynamics will in turn dictate how aerosols will spread across the interior and whether or not they will be transported outside the vehicle. A Lagrangian approach is used to determine the transport of the aerosol particles and the effect of particle size on the simulation result has been studied. Four sets of scenarios of practical interest have been considered. The first set shows the effect of vehicle speed on aerosol transport, and the second set describes what happens when some of the windows are closed, while the third set describes how aerosol transport is affected by the location of the passenger speaking. The fourth set describes how a gush of cross wind affects aerosol transport. Simulation results reveal that when all windows are open, aerosols can go out of one window and then return back to the vehicle interior through another window. Results also reveal that when a passenger sitting in the second row speaks, the aerosols generated span across the entire volume of the car interior before going out through the open windows.

When the doorbell rings in COVID-19 times: Numerical insights into some possible scenarios.

As ongoing Corona virus disease 2019 pandemic is ravaging the world, more and more people are following social distancing norms, avoiding unnecessary outings and preferring online shopping from the safety of their home over visiting brick and mortar stores and neighborhood shops. Although this has led to a significant reduction in chances of exposure, human-to-human interaction at the doorstep of the customer might be involved during the delivery of the ordered items. This human-to-human doorstep interaction arises in some other situations also. There is a finite probability that the person standing in front of the door coughs or sneezes during such an interaction. In this work, a three dimensional (3D) Euler-Lagrangian computational fluid dynamic model is used to understand the transmission and evaporation of micrometer-size droplets generated due to a coughing event in this setting. Different possible scenarios varying in wind direction, wind velocity, ventilation in the vicinity of door, and extent of door opening have been postulated and simulated. The results obtained from numerical simulations show that in the presence of wind, the dynamics of transmission of droplets is much faster than the dynamics of their evaporation. Thus wind velocity and direction have a significant impact on the fate of the droplets. The simulation results show that even if the door is opened by a very small degree, cough droplets enter through the door. Having open windows in the vicinity of the door on a windy day is expected to reduce the chance of the exposure significantly.

Status of glaciers and climate change of East Karakoram in early twenty-first century.

This study aims to assess the glaciers change status in Shyok basin, East Karakoram in terms of area and mass balance, and to ascertain if glaciers in this part of Karakoram also display similar anomaly like central or western counterparts. The spatio-temporal monitoring of glaciers during the time frame of 24 years (1990/2000/2014) suggests major percentage of stable glaciers and insignificant retreat in the total glaciated area. The percentage of retreating glaciers has increased after year 2000. Area change analysis of glaciers having size >1 km2 (569 glaciers) suggests the number of fluctuated glaciers have substantially increased i.e. overall 56% glaciers remained stable, 35% retreated and 9% advanced during 1990-2014. The geodetic based findings using SRTM-C (2000) and Cartosat-1 (2010/2011/2014) stereo-imageries for 201 glaciers suggest the mass loss at the rate of -0.10 ± 0.07 m w.e. a-1. To better apprehend the status of glaciers changes in the region, climatic studies using in-situ observations as well as reanalysis dataset (ERA-I) were also undertaken of past 30 years. Therefore, this study is also a maiden attempt to ascertain if along with Karakoram anomaly, a climatic anomaly exists in the Eastern parts of Karakoram or not. A long term field collected snow-meteorological data of East Karakoram region suggests overall warming trend in annual temperature and no trend for snowfall during 1985-2015. The statistically significant increased rates of warming and decreased snowfall after year 2000 support the spatial variations in glaciers of East Karakoram and marginal mass loss. The observations of the marginal mass loss along with warming temperatures indicate that no Karakoram or climatic anomaly is existent over the East Karakoram region. Our study further refutes the prevalence of the elevation-dependent warming (EDW) over East Karakoram region vis-à-vis North-West Himalayan ranges. The impact of hiatus in global warming was also not observed over studied region.

Evaluation of forewarning models for mustard aphids in different agro-climatic zones of India.

Mustard aphid, Lipaphis erysimi (Kaltenbach), is the most serious pest of Rapeseed-Mustard which is known to be responsible for a tremendous loss in yield and oil content, under various agro-climatic conditions of India. Information support on aphid occurrence and intensity is necessary for effective management by the farmers in the mustard-growing belt. In this study, an effort is made to develop forewarning model using the field data on aphid for 12 consecutive rabi seasons from 2003-2004 to 2014-2015 under different agro-climatic locations in India. Three main components of aphid-related stages were identified for which necessary forewarnings were needed to be issued: (1) severity, (2) the time of reaching the economic threshold level (ETL) for decision-making on pesticide application, and (3) time of occurrence of peak population. To address these, three different models were developed/used and validated using incident field dataset. Those field observations when the infestation level were below severe category (< 60) during rising phase of the aphid population were found to indicate highest R sqr. (0.82) for the model-I during validation. When model-II was used, 11 out of 14 locations (78.57%) stood validated. The assumptions made in model-III also got validated when humidity thermal ratio (HTR) of the week of peak population ranged between 1.5 and 4 (lowest among the weeks considered), and population reached severe category. The models showed better results during real-time validation in seasons 2016-2017 and 2017-2018, thus suggesting that these three models can be used to ascertain the severity, week of ETL, and week of peak aphid population for Brassica juncea varieties all over the mustard belt in India and can be operationalized spatially to forewarn against the aphid pest population in future under Gramin Krishi Mausam Sewa (GKMS) scheme.

A descriptive study of clinical and radiological profile of longitudinal extensive myelitis in a tertiary hospital in Rajasthan, India.

OBJECTIVES: To explore the aetiological, clinical and radiological profiles of patients with LETM presenting to this tertiary care hospital in North India. PATIENTS AND METHODS: All eligible LETM patients presenting to our hospital between April 2015 and Jan 2016 were prospectively studied. A total of 37 patients were included and after thorough history, examination, relevant laboratory and radiological investigation, were profiled according to the various aetiologies of LETM. RESULTS: Our study included 37 patients (62% males and 38% females). Most patients were young (21-30 years). Main aetiologies of LETMp were NMO (8), inflammatory (9), idiopathic (6), NMOSD (4), Vitamin B12 deficiency (4) and others (6). Most patients (62%) had acute onset of symptoms except NMOSD and B12 deficient patients who presented subacutely too. NMO group was most disabled (poor Rankin and MRC assessments) at presentation; prognostically no (87%) or minimal improvement (13%) at discharge was seen in this group compared to other aetiologies. Forty point five percent patients had thoracic sensory complaints. CSF (pleocytosis 62%) and raised protein (81%) and brain abnormalities on MRI were seen in 11% patients. Bladder and optic nerve involvement (75.7% and 35% patients respectively). Seventy five percent NMO and 67% probable inflammatory aetiology patients also had B12 deficiency. CONCLUSION: This study concludes that LETMp has varied aetiologies with NMO having more disability and poorer outcomes. Thoracic cord segment is most commonly involved. Vitamin B12 deficiency may predispose patients to inflammatory LETM including NMO syndromes.

Albumin Based Iohexol Nanoparticles for Computed Tomography: An In Vivo Study.

Iohexol is a commonly used second generation non-ionic iodinated contrast agent with a multitude of advantages such as low osmolarity and competent intravenous countenance having minimum adverse reactions. Our study anticipated to improve the efficacy of Iohexol as a contrast enhancing agent for Computed Tomography, by envisaging bio-compatible albumin based Iohexol nanoparticles. This nanoparticulate system was developed primarily to enhance the anatomic imaging while increasing its residence time in the blood pool. Towards this goal, we developed Iohexol albumin nanoparticles using glutaraldehyde as a cross linking agent, and Polyethylene glyocol Iohexol albumin nanoparticles by physical adsorption to ameliorate its circulation time. These formulations were studied in comparison to the clinically available Iopamidol™. Both Iohexol albumin nanoparticles and Polyethylene glyocol Iohexol albumin nanoparticles were characterized for its size, physicochemical properties and entrapment efficiency. Iohexol albumin nanoparticles showed a size range of 254±5 nm and post surface modification the size of Polyethylene glyocol Iohexol albumin nanoparticles was found to be 283±7 nm in diameter, with and entrapment efficiency Iohexol as of 85%. Further, In vivo computed tomography imaging in New Zealand white rabbits for the developed formulations manifested an enhancement in the anatomical structures of heart, liver and kidneys along with an increased residence time in the blood pool of 3 h in contrast to Iopamidol™. Our study interprets that Polyethylene glyocol Iohexol albumin nanoparticles have prolonged residence time producing much greater conspicuity of anatomic features and warrants further detail study of the formulation in disease models.

Application of hot melt extrusion for improving bioavailability of artemisinin a thermolabile drug.

Hot melt extrusion has been used to produce a solid dispersion of the thermolabile drug artemisinin. Formulation and process conditions were optimized prior to evaluation of dissolution and biopharmaceutical performance. Soluplus®, a low Tg amphiphilic polymer especially designed for solid dispersions enabled melt extrusion at 110 °C although some drug-polymer incompatibility was observed. Addition of 5% citric acid as a pH modifier was found to suppress the degradation. The area under plasma concentration time curve (AUC0-24h) and peak plasma concentration (Cmax) were four times higher for the modified solid dispersion compared to that of pure artemisinin.

Antioxidant, antimicrobial activity and bioactive compounds of Bergenia ciliata Sternb.: A valuable medicinal herb of Sikkim Himalaya.

Bergenia ciliata Sternb., commonly known as Paashaanbhed, is a well known herb of Sikkim Himalaya with various pharmaceutical properties. However, scientific exploration of B. ciliata, growing in the Sikkim Himalaya, for phytochemicals and pharmacological properties is in infancy. With this view, the present study was undertaken to investigate B. ciliata leaf extracts for antioxidant, antimicrobial activity and bioactive compounds. Three solvents viz., methanol, ethyl acetate and hexane were used for extraction and the respective leaf extracts were analyzed for total phenolic and flavonoid contents along with the antioxidant and antimicrobial activities. Amongst the tested solvents, methanol was found to be the best solvent for extraction with highest total phenolic contents and the lowest IC50 values for the 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. Methanol extract also exhibited effective antimicrobial activity, particularly against bacteria and actinomycetes. Further, high performance liquid chromatography (HPLC) analysis revealed that methanolic extract contains the highest amount of all the three analyzed bioactive compounds viz. bergenin, catechin and gallic acid. The current study suggests that the methanol extract of B. ciliata is a potential source of natural antioxidant and antimicrobial compounds that can be used in food and drug industries.

A systematic review of clinical effectiveness of wound edge protector devices in reducing surgical site infections in patients undergoing abdominal surgery.

This article highlights the clinical effectiveness of wound edge protector devices (WEPD) in preventing the post-operative surgical site infections (SSI) in patients undergoing abdominal surgery. Using the principles of meta-analysis and systematic review as recommended by the Cochrane Collaboration, the data from selected randomized, controlled trials (RCTs) were analysed to generate summated outcome and presented in the form of odds ratio (OR). Eighteen RCTs on 3808 reported the effectiveness of WEPD in patients undergoing abdominal surgery. The use of WEPD was associated with the reduced incidence of overall SSI (OR 0.59; 95% CI 0.43-0.81; z = 3.30; p < 0.001) and superficial SSI (OR 0.42; 95% CI 0.18-0.95; z = 2.09; p < 0.04). In addition, WEPD also successfully reduced the risk of SSI in clean-contaminated wounds (OR 0.67; 95% CI 0.46-0.98; z = 2.06; p < 0.04) as well as in contaminated wounds (OR 0.24; 95% CI 0.12-0.49; z = 3.96; p < 0.0001). WEPD seems to be an effective intervention to reduce the risk of post-operative SSI in patients undergoing abdominal surgery.

Clinico-anesthetic changes following administration of propofol alone and in combination of meperidine and pentazocine lactate in dogs.

AIM: The aim of this study is to find out the effect of propofol and its combination with meperidine and pentazocine lactate on certain clinico-anesthetic profiles in dogs. MATERIALS AND METHODS: 15 apparently healthy mongrel dogs of either sex of about 1 year of age were randomly divided into three groups of five dogs each. The animals of Group I were administered propofol intravenously alone "to effect," whereas meperidine at 2 mg/kgb.wt. and pentazocine lactate at 2 mg/kg b.wt. were injected intramuscularly 15 min before propofol "to effect" in Groups II and III, respectively. Atropine sulfate at 0.04 mg/kgb.wt. was injected intramuscularly 20 min before each treatment. Rectal temperature, heart rate, respiration rate, and anesthetic indices were recorded before and at 5, 10, 20, 30, and 60 min of induction. RESULTS: As compared to Group I, the animals of Groups II and III exhibited a significant decrease (p<0.05) in the level of rectal temperature, respiration rate, and heart rate. Duration of recumbency, time of standing, time of recovery as well as the duration of analgesia were longer in pentazocine lactate (Group III) followed by meperidine (Group II) as compared to propofol alone (Group I). Meperidine treated dogs showed defecation and muscle twitching during anesthesia. CONCLUSION: Meperidine and pentazocine are suitable opioids used in combination with propofol for achieving surgical anesthesia and helpful in reduction of propofol dose.

Sustained Early Disruption of Mitochondrial Function Contributes to Arsenic-Induced Prostate Tumorigenesis.

Arsenic is a well-known human carcinogen that affects millions of people worldwide, but the underlying mechanisms of carcinogenesis are unclear. Several epidemiological studies have suggested increased prostate cancer incidence and mortality due to exposure to arsenic. Due to lack of an animal model of arsenic-induced carcinogenesis, we used a prostate epithelial cell culture model to identify a role for mitochondria in arsenic-induced prostate cancer. Mitochondrial morphology and membrane potential was impacted within a few hours of arsenic exposure of non-neoplastic prostate epithelial cells. Chronic arsenic treatment induced mutations in mitochondrial genes and altered mitochondrial functions. Human non-neoplastic prostate epithelial cells continuously cultured for seven months in the presence of 5 µM arsenite showed tumorigenic properties in vitro and induced tumors in SCID mice, which indicated transformation of these cells. Protein and mRNA expression of subunits of mtOXPHOS complex I were decreased in arsenic-transformed cells. Alterations in complex I, a main site for reactive oxygen species (ROS) production as well as increased expression of ROS-producing NOX4 in arsenic-transformed cells suggested a role of oxidative stress in tumorigenic transformation of prostate epithelial cells. Whole genome cGH array analyses of arsenic-transformed prostate cells identified extensive genomic instability. Our study revealed mitochondrial dysfunction induced oxidative stress and decreased expression of p53 in arsenic-transformed cells as an underlying mechanism of the mitochondrial and nuclear genomic instability. These studies suggest that early changes in mitochondrial functions are sustained during prolong arsenic exposure. Overall, our study provides evidence that arsenic disruption of mitochondrial function is an early and key step in tumorigenic transformation of prostate epithelial cells.

Cardiac gene therapy: are we there yet?

The incidence of cardiovascular disease (CVD) is increasing throughout the world and is associated with elevated morbidity and mortality. Gene therapy to treat cardiac dysfunction is gaining importance because of the limited therapeutic benefit offered by pharmacotherapies. The growing knowledge of the complex signaling pathways and the development of sophisticated vectors and delivery systems, are facilitating identification and targeting of specific molecular candidates involved in initiation and progression of CVDs. Several preclinical and clinical studies have shown the therapeutic efficiency of gene therapy in different disease models and patients. Hence, gene therapy might plausibly become an unconventional treatment modality for CVD patients. In this review, we summarize the gene delivery carriers, modes of delivery, recent preclinical/clinical studies and potential therapeutic targets. We also briefly discuss the existing limitations of gene therapy, technical challenges surrounding gene carriers and delivery systems, and some approaches to overcome these limitations for bringing CVD gene therapy one step closer to reality.

Association of Methylenetetrahydrafolate Reductase Gene Polymorphism (MTHFR) in Patients with Gallbladder Cancer.

PURPOSE: 5,10-Methylenetetrahydrofolate reductase (MTHFR) is a key enzyme in folate metabolism and plays a major role in DNA methylation. There are two popular MTHFR polymorphisms known as C677T and A1298C which are found to be involved in folate metabolism and lowering the enzyme activity, thus may be linked with cancer development. This study aims to look at the association of these polymorphisms in gallbladder cancer. METHODS: Thirty patients each with gallbladder cancer, cholelithiasis, and normal gallbladder were genotyped for the above-given polymorphisms by PCR-restriction fragment length polymorphism (RFLP) method. RESULTS: C677T MTHFR polymorphism was not associated (χ(2) = 2.44, p = 0.85) with an increased likelihood of having gallbladder cancer. A1298C was significantly associated (χ(2) = 28.87, p < 0.001) with risk of developing gallbladder cancer. A1298C was significantly correlated with grade (r = 0.337, p < 0.001) and histopathology (r = 0.446, p < 0.001). CONCLUSION: This study proposed that MTHFR A1298C polymorphism may be associated with risk of developing gallbladder cancer, and there is no association between C677T polymorphism and gallbladder cancer.

Application of Glass Transition in Food Processing.

The phenomenon of glass transition has been employed to food products to study their stability. It can be applied as an integrated approach along with water activity and physical and chemical changes in food in processing and storage to determine the food stability. Also associated with the changes during agglomeration crystallization, caking, sticking, collapse, oxidation reactions, nonenzymatic browning, and microbial stability of food system. Various techniques such as Differential Scanning Calorimetry, Nuclear Magnetic Resonance, etc. have been developed to determine the glass transition temperature (Tg) of food system. Also, various theories have been applied to explain the concept of Tg and its relation to changes in food system. This review summarizes the understanding of concept of glass transition, its measurement, and application in food technology.

Knowledge, attitude and practice GAP in family planning usage: an analysis of selected cities of Uttar Pradesh.

BACKGROUND: The GAP between the knowledge of contraception and its actual practice is well recognized in the literature of family welfare studies. The present study assessed the relation between the level of knowledge and practice of contraception among the women and sought to explore the reasons behind the Knowledge, Attitude, and Practice - GAP (KAP GAP) regarding contraceptive users in six cities of Uttar Pradesh. METHOD: Present analysis based on 17,643 currently married women aged 15 to 49. A Bivariate analysis (χ2 test) and a multivariable logistic regression were performed for the study. RESULT: The highest percentages of respondents (women) were in the age group 35-49 (40-45 %) in all the districts considered. Knowledge of contraceptives was almost universal; tubal ligation and pill were the commonly known methods. Information about the contraceptive methods was mostly obtained through the husband. In the present study, there was a highly significant association (p < 0.01) of age group, educational status of respondents, the number of living children, the wealth of the respondent, media exposure and husband's education with the variable KAP GAP for all six cities. Health concern issues in all the districts were the most prominent reason for not using contraception. CONCLUSION: There differences in the socioeconomic and demographic factors exist, which lead to KAP GAP in the family planning (FP) usages. Therefore, in designing effective family planning programme, there is a need to understand the various factors which influence the practice of contraception.