Comparison of aerosol products retrieved from AERONET, MICROTOPS and MODIS over a tropical urban city, Pune, India

Aerosol Optical Depth (AOD) measurements from Aerosol Robotic NETwork (AERONET; level 2.0), Microtops - II sun-photometer and MODerate Resolution Imaging Spectroradiometer (MODIS) (Terra and Aqua; level 2, collection 5, dark target) were compared and used to characterize aerosols over Pune, India. AODs from Microtops and MODIS were compared with those measured by AERONET to evaluate the measurement quality. To the best of our knowledge, this is the first systematic comparison of MODIS aerosol products over Pune, India. The results of the analysis show that during 2008-10, 68 to 84 of the MODIS AODs fell within an expected error, as defined by the MODIS science team, and thus the retrievals from this system are validated and accepted. In addition, during pre-monsoon periods MODIS retrievals are better-matched with ground-based measurements. On the seasonal scale, MODIS retrievals corroborate well with ground-based measurements, with correlation coefficients ranging from 0.62 to 0.93. Despite an overall satellite-ground agreement, MODIS tends to under-estimate AOD during winter, and this may be due to improper assumptions of surface reflectance and the incorrect selection of aerosol types. AERONET retrieved single scattering albedo (SSA) values in winter (0.82-0.86), suggesting the dominance of absorbing aerosols, slightly increased (0.87-0.89) in pre-monsoon season, indicating more scattering type of aerosols. These values are about 8.9-1.1 lower than those of the assumed SSA values in the MODIS algorithm

Validation of MODIS Aerosol Optical Depth Retrievals over a Tropical Urban Site, Pune, India

In the present paper, MODIS (Terra and Aqua; level 2, collection 5) derived aerosoloptical depths (AODs) are compared with the ground-based measurements obtained from AERONET (level 2.0) and Microtops - II sun-photometer over a tropical urban station, Pune (18 deg 32'N; 73 deg 49'E, 559 m amsl). This is the first ever systematic validation of the MODIS aerosol products over Pune. Analysis of the data indicates that the Terra and Aqua MODIS AOD retrievals at 550 nm have good correlations with the AERONET and Microtops - II sun-photometer AOD measurements. During winter the linear regression correlation coefficients for MODIS products against AERONET measurements are 0.79 for Terra and 0.62 for Aqua; however for premonsoon, the corresponding coefficients are 0.78 and 0.74. Similarly, the linear regression correlation coefficients for Microtops measurements against MODIS products are 0.72 and 0.93 for Terra and Aqua data respectively during winter and are 0.78 and 0.75 during pre-monsoon. On yearly basis in 2008-2009, correlation coefficients for MODIS products against AERONET measurements are 0.80 and 0.78 for Terra and Aqua respectively while the corresponding coefficients are 0.70 and 0.73 during 2009-2010. The regressed intercepts with MODIS vs. AERONET are 0.09 for Terra and 0.05 for Aqua during winter whereas their values are 0.04 and 0.07 during pre-monsoon. However, MODIS AODs are found to underestimate during winter and overestimate during pre-monsoon with respect to AERONET and Microtops measurements having slopes 0.63 (Terra) and 0.74 (Aqua) during winter and 0.97 (Terra) and 0.94 (Aqua) during pre-monsoon. Wavelength dependency of Single Scattering Albedo (SSA) shows presence of absorbing and scattering aerosol particles. For winter, SSA decreases with wavelength with the values 0.86 +/- 0.03 at 440 nm and 0.82 +/- 0.04 at 1020nm. In pre-monsoon, it increases with wavelength (SSA is 0.87 +/- 0.02 at 440nm; and 0.88 +/-0.04 at 1020 nm)

Effect of organic farming practices on soil and performance of soybean (Glycine max) under semi-arid tropical conditions in Central India

A field experiment was conducted to evaluate the influence of organic farming practices on soil health and crop performance of Soybean (Glycine max).The crop cultivar JS-335 of soybean was grown with 30:26.2:16.6 kg ha-1 (NPK) recommended dose of fertilizers under three management practices viz., organic, chemical and integrated (50:50) in randomized block design, replicated three times. Soil organic carbon, available N, P and K, microbial enzymatic activities, total biomass, seed yield and harvest index (HI) were analysed during the study. It was observed that soil organic carbon (11.3 g kg-1), available N (125 mg kg-1), P (49.7 mg kg-1) and soil enzyme activities viz., dehydrogenase (DHA) (98.20 µ grams TPF/g soil/24 h) and alkaline phosphatase (178.2 µ grams p-nitro phenol/g soil/h) were found significantly higher in the plot managed organically while available K (320.1 mg kg-1) was not significant with respect to chemical and integrated practices. The total biomass (1927 kg ha-1) and seed yield (601 kg ha-1) of soybean was found highest in organic farming practices followed by integrated and chemical practices. Very poor microbial activities were observed in chemically managed plots. Thus, the study demonstrated that the organic farming practice improved soil health and performance of soybean crop

SYNTHESIS, CHARACTERIZATION AND APPLICATIONS OF REDUCED GRAPHENE OXIDE AND COMPOSITE MEMBRANES FOR SELECTIVE SEPARATIONS AND REMOVAL OF ORGANIC CONTAMINANTS

Among the next generation materials being investigated for membrane development, partially reduced Graphene Oxide (rGO) has received increasing attention from the membrane community. rGO-based nanofiltration membranes have shown promising results in applications such as partial desalination, organic contaminant removal, gas-phase separations, and separations from solvent media. rGO offers a unique platform compared to common polymeric membranes since it can be used for separation applications in both aqueous and organic solvent media. An rGO-based platform could also be utilized to synthesize reactive membranes, giving rGO membranes the additional capability of reactively removing organic contaminants. This research focuses on the synthesis of rGO and nanocomposite membranes for applications including the separation of high-value phenolic compounds from a solvent-water mixture, removal of organic contaminants, and treatment of refinery wastewater. First, the behavior of a rGO membrane in water and isopropanol was investigated along with its ability to separate high-value, lignin-derived oligomeric compounds from a solvent-water mixture. This study revealed the formation of stable sorbates of water in the GO channels that resulted in declined membrane permeance and improved size-exclusion cutoff. Through controlled reduction of GO by heat treatment, it was demonstrated that physicochemical properties of the GO membrane could be modulated and separation performance tuned based on the extent of reduction. A varying degree of interlayer spacing was attained between the GO laminates by controlling the O/C ratio of GO. This allowed the rGO membrane to achieve tunable molecular separation of lignin-derived model oligomeric compounds from a solvent-water mixture. Second, the mechanism of ionic transport through the rGO membrane was studied as well as its application in partial desalination and removal of persistent organic contaminants from water. Through comprehensive experimental investigations and mathematical analysis, along with the aid of the extended Nernst Planck equation, the impacts of steric hindrance and charge interactions on the underlying ion transport mechanism were quantified. Charge interactions were observed to be the dominant exclusion mechanism for the rGO membranes. The application of rGO membranes for treatment of high TDS produced water was investigated with the goal of partial hardness and dissolved oil removal. In addition, this study demonstrated the removal of emerging organic contaminants, specifically perfluorooctanoic acid, by rGO membranes and elucidated a charge interaction-dominated exclusion mechanism for this contaminant, as well. Finally, rGO-based and microporous polyvinylidene fluoride (PVDF)-based catalytic membrane platforms were synthesized for removal of organic contaminants via an oxidative pathway. Herein, an advanced oxidation process was integrated with membrane technology by the in-situ synthesis of Fe-based nanoparticles. The unique capability to oxidatively remove contaminants in a continuous mode of operation was explored in addition to the separation performance of the membrane. The rGO-based platform achieved high oxidative removal of trichloroethylene via a sulfate-free, radical-mediated pathway, while simultaneously removing humic acids from water and potentially eliminating undesired side reactions. A PVDF-based microporous catalytic membrane platform was shown to effectively remove organic impurities, such as Naphthenic acids, from high TDS produced water by the same pathway. The enhancement of reaction extent for elevated temperatures and longer residence times was also quantified in this study. These studies benefit the membrane community in the following ways: 1) The work identifies the critical role of the physicochemical properties of GO, such as the O/C ratio and water sorption, for determining the permeability-selectivity of rGO membranes for solvent nanofiltration. 2) Investigations of ion transport through rGO membranes led to an understanding of a charge-dominated separation mechanism for ion retention. The Nernst-Planck equation-based approach employed in this study would enable further assessment and comparison of rGO membranes under a wide set of parameters. 3) Catalytic membrane platforms (rGO and microporous PVDF-based) were synthesized for conducting advanced oxidation reactions in the porous membrane domain, demonstrating potential applications in environmental remediation of organic contaminants

Determining the optimal stockpile level for combination vaccines

By 2015, vaccine shortages still remained one of the major problems around the globe, as described in the annual secretariat report of the Global Vaccine Action Plan (GVAP). Despite multiple initiatives to reduce vaccine shortages, supply interruptions are unexpected and unavoidable. To mitigate the risk of such interruptions, vaccine stockpiles have traditionally been the tool of choice. However, the models used to determine vaccine stockpile levels have only considered the use of monovalent vaccines, which provide protection against a single disease. This study aims to determine optimal stockpile levels for combination vaccines, which provide protection against multiple diseases. First, through discrete event simulation, we explore the effect on antigen shortages while maintaining stockpiles of multiple vaccines from multiple suppliers with different reliability conditions. We consider policies that mimic those of a decision maker that can either use vaccines with the most or the least reliable supply to set up the safety stockpile. Second, we propose a stochastic tractable safety stock model that considers the availability of a pool of monovalent and combination vaccines in the stockpile. Finally, we contrast the recommendations from the simulation with those from the stochastic safety stock model, and we analyze the effect of having a mix of combination and monovalent vaccines to mitigate the shortage risks for any given antigen

Text Localization and Extraction in Natural Scene Images

Content based image analysis methods are receiving more attention in recent time due to increase in use of image capturing devices. Among all contents in images, text data finds wide applications such as license plate reading, mobile text recognition and so on. The Text Information Extraction (TIE) is a process of extraction of text from images which consists of four stages: detection, localization, extraction and recognition. Text detection and localization plays important role in system’s performance. The existing methods for detection and localization, region based and connected component based, have some limitations due difference in size, style, orientation etc. To overcome the limitations, a hybrid approach is proposed to detect and localize text in natural scene images. This approach includes steps: pre-processing connected component analysis, text extraction. DOI: 10.17762/ijritcc2321-8169.15021

Cubosomes; An Approach to Sustain and Improve the Ocular Delivery for Glaucoma Treatment: Box Benhken Optimization, Formulation, In Vitro Characterization and Ex Vivo Permeation Study

Introduction: In glaucoma, acetazolamide (ACZ) is used to lower intraocular pressure (IOP). Low aqueous solubility and decreased corneal permeation are two characteristics of ACZ. This research intends to enhance the ocular delivery of ACZ. Materials and Methods: Using a Box-Behnken design, cubosomes loaded with acetazolamide were made using the Melt dispersion emulsification and sonication method. The independent variables included Glyceryl monoolein (GMO), polyvinyl alcohol (PVA) and Poloxamer 407 (P407. The prepared formulations underwent evaluation for polydispersity index (PDI), particle size and entrapment efficiency. Thermal analysis, in vitro characterisation and permeation were among the additional tests performed on the developed formulation. Results: Optimized formulation showed PDI of 0.23 ± 0.03, mean particle size of 243 ± 4.2 nm, zeta potential of -26.1 ± 0.6 mV, entrapment efficiency of 73.99% and cubic structure under TEM. Drug penetration through goat cornea has increased, according to an ex vivo permeation study. The prepared cubosome safety, stability and ability to be delivered through the cornea were confirmed by the ocular irritation test. Conclusion: The optimized cubosomal formulation has the potential to improve glaucoma treatment and be regarded as promising for ocular delivery of ACZ

Use of fibular graft in Masquelet technique in osteomyelitis of long bones-a novel modification in the technique

Background: Improper treatment of acute osteomyelitis mostly leads to chronic osteomyelitis. In the year 2000, Alain C. Masquelet described the Induced membrane technique for the first time. In this study, we aimed to determine the clinical efficiency of the Masquelet technique for bone loss due to osteomyelitis in the long bones. Methods: This study was conducted at our tertiary care centre Shri Vasantrao Naik medical college and hospital, Yavatmal between August 2016 and September 2020. Masquelet technique with some modification was performed in all cases. Results: In first stage, the defects were filled with antibiotic-loaded polymethyl methacrylate (PMMA) cement after radical debridement. In second stage after 6 to 8 weeks we used a combination of fibular strut graft with iliac cancellous graft. X-rays were taken before second stage and after 3 months, 6 months and 1 year to see for the union. The study included 10 patients, with 6 males and 4 females with mean age of 34 years (20 to 54). The mean duration of bone infection was 4 months (range: 3-5 months). All patients had an average follow-up period of 16 months (range, 12-24 months). Radiographic evidence of bone union was seen in 6 months (3 to 9 months) infection was not seen in any case. Conclusions: This modified Masquelet is an effective method for the treatment of chronic osteomyelitis of the long bones

Deontic and Epistemic Modals in Suppositional [Inquisitive] Semantics

In Groenendijk and Roelofsen (2015) a suppositional semantics for implication is proposed within the general framework of inquisitive semantics. Our aim is to extend this semantic approach to epistemic and deontic modals, but, for the purposes of this short paper, we bracketed off inquisitive aspects of meaning. To illustrate the semantics we discuss a semantic solution to a Jackson  inspired puzzle which involves the interaction of implication and both types of modals.