14 research outputs found
Chondroitin sulfate/Dermatan sulfate from Rat Kidney
This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Narrative Journalism in Truman Capote’s In Cold Blood
This paper deals with how Narrative Journalism influences the novels in literature with special reference to the non-fiction In Cold Blood by Truman Capote. The author is forced to yield a serious new art form in Literature through Narrative Journalism. To demonstrate the literary techniques of the novel, Capote applied Literary Journalism. In a simple definition, Narrative Journalism is a technique and stylistic strategy traditionally associated with non-fiction, and also it is at times used interchangeably with creative nonfiction. Capote learned of the quadruple murder in The New York Times, before the killers were captured. Then he decided to travel to Kansas and write about the crime with his fellow author Harper lee who has also written a few non-fictions. Here Capote brings out the true crime story for which he interviewed local residents and investigators assigned to the case and took thousand pages of notes. He also took extensive detail and simultaneous triple narrative. And the story is told from two alternating perspectives; the thought of the murderers and the people affected by the crime. Capote’s purpose of writing this novel was to let the readers know about the prior planning, thoughts and purpose of the crime by the murderers that would not be shown in a typical news report. Unlike other authors his objective was in showing the mindset of the murderers while committing the crime. The highlight of the study is how Narrative Journalism is applied in Capote’s In Cold Blood
Pearl Millet Seed Surface Modification and Improved Germination by Non-thermal Plasma Discharge: Understanding the Role of Reactive Species
International audienceIn this work, we investigated the impacts of atmospheric pressure dielectric barrier discharge (DBD), i.e., plasma treatment, on pearl millet seeds germination and plant growth. The effect of plasma discharge on water activation, by introducing the reactive species, was explored. We evidenced that about 30 min plasma treated pearl millet seeds exhibited 20% higher germination rate than the control seed watered with tap water. The HR-SEM study revealed that the plasma treatment increased the roughness and FTIR study showed that new oxygen functional groups were introduced on the seed surface. Moreover, it was observed that the water contact angle decreased for plasma treated seeds (50%) and the water uptake also increased considerably as compared to control seeds. These findings indicate that the seed surface has turned more hydrophilic after plasma treatment. A cylindrical double dielectric barrier discharge (D-DBD) reactor was employed for water activation, and 30 min of treatment under air has decreased the pH of deionized water from 7.4 to 4.5 and produced about 1.78 ppm of nitrate (NO3-) and 4.2 ppm of hydrogen peroxide (H2O2). Interestingly, the plasma activated water (PAW) improved the pearl millet seed germination by 30% (after 24 h of sowing) and plant growth as compared to tap water and deionized water. Remarkably, when PAW and plasma-treated seeds were combined, a beneficial impact in seed germination (95 +/- 2%) and seedling growth have been evidenced owing to synergistic effect. We evidenced that among the long-lived species in PAW, NO3- enhanced the seed germination and plant growth under similar conditions. These findings demonstrate that the proposed cold plasma reactors could be utilized to boost seed germination and plant growth.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 4 Given name: [Amine Aymen] Last name [Assadi]. Also, kindly confirm the details in the metadata are correct.Yes, all author names are correctly editted
Non-Thermal Plasma Treatment of Dye-Contaminated Wastewater: A Sustainable Approach for Pollutant Degradation and Enhanced Plant Growth
The win–win situation of dye degradation and nitrogen fixation in wastewater using non-thermal plasma (NTP) were investigated in this study. Specifically, the feasibility of utilizing plasma-treated dye-contaminated wastewater for seed germination and plant growth was explored. Crystal Violet (CV) and Rhodamine B (RhB) dyes were used as model pollutants, while Sorghum bicolor (great millet) seeds were used to assess germination rates and plant growth responses. In untreated wastewater containing CV and RhB, approximately 45% of seeds germinated after three days, but no significant stem or root growth was observed after 11 days. Plasma treatment significantly enhanced dye degradation, with efficiency improving as treatment time and input power increased. After 16 min of plasma treatment at 1.3 ± 0.2 W input power, about 99% degradation efficiency was achieved for both CV (0.0122 mM) and RhB (0.0104 mM). This degradation was primarily driven by reactive oxygen and nitrogen species (RONS) generated by plasma discharge. When sorghum seeds were germinated using plasma-treated wastewater, the germination rate increased to 65% after three days—20% higher than with untreated wastewater. Furthermore, after 11 days, the average stem length reached 9 cm, while the average root length extended to 7 cm. These findings highlight NTP as a promising and sustainable method for degrading textile industry pollutants while simultaneously enhancing crop productivity through the reuse of treated wastewater
Non-Thermal Plasma-Assisted Synthesis of ZnO for Enhanced Photocatalytic Performance
Non-thermal plasma (NTP)-assisted material synthesis and surface modification provide a promising approach in various applications, particularly in wastewater treatment. In this study, we reported the synthesis of photocatalytic zinc oxide (ZnO) from zinc hydroxide (Zn(OH)2) utilizing NTP discharge generated by dielectric barrier discharge (DBD). The results demonstrated that the 40 min plasma treatment at 200 °C (ZnO-P) with a voltage of 20 kV significantly improved the material’s physicochemical properties compared to conventional calcination at 600 °C (ZnO-600). ZnO-P exhibited better crystallinity, a significantly reduced particle size of 41 nm, and a narrower band gap of 3.1 eV compared to ZnO-600. Photocatalytic performance was evaluated through crystal violet degradation, where ZnO-P achieved an 60% degradation rate after 90 min of UV exposure, whereas ZnO-600 exhibited only a 50% degradation rate under identical conditions. These findings underscore the effectiveness of NTP synthesis in enhancing the surface properties of ZnO, leading to superior photocatalytic performance
Incidence and prevalence of Lewy body dementia in India: A systematic review
With increasing life expectancy in India, the prevalence of age-related disorders, such as dementia has also increased. Health and social care resources for each state are allocated based on their inhabitants’ age, sex, education, and urban/rural status but not on the dementia subtype, which can significantly influence prognosis, healthcare utilization, and quality of life. Herein, we aimed to systematically review studies investigating the prevalence of the Lewy body dementia (LBD) subtype in India. We conducted a systematic review of EMBASE, MEDLINE, and APA PsychINFO databases on June 22, 2023. Two independent reviewers performed screening and full-text review, with a third reviewer resolving any disputes. Quality was assessed for each extracted paper. Of 1372 identified studies, full-text reviews were conducted on 399 and data were extracted from 4. Two studies included prevalence data on dementia with Lewy bodies (DLB), one on Parkinson’s disease dementia and one on LBD. DLB or LBD has been reported to represent 1.0 – 8.9% of dementia diagnoses. Methodological heterogeneity was characterized by study design, access to biomarkers, diagnostic criteria, and use of cognitive tools. No studies reported incidence data. A paucity of research on LBD epidemiology in India is compounded by methodological heterogeneity, poorly representative cohorts, and varying access to biomarkers. Consensus guidelines may support data harmonization and the creation of multisite consortia, which could redress the under-representation of Central Asian data in epidemiological and genetic LBD studies
Author affiliation and funding source of eligible studies.
Author affiliation and funding source of eligible studies.</p
Global optimization of extraframework ensembles in zeolites: structural analysis of extraframework aluminum species in MOR and MFI zeolites
Metal-modified zeolites are versatile catalytic materials with a wide range of industrial applications. Their catalytic behaviour is determined by the nature of externally introduced cationic species, i.e., its geometry, chemical composition, and location within the zeolite pores. Superior catalyst designs can be unlocked by understanding the confinement effect and spatial limitations of the zeolite framework and its influence on the geometry and location of such cationic active sites. In this study, we employ the genetic algorithm (GA) global optimization method to investigate extraframework aluminum species and their structural variations in different zeolite matrices. We focus on extraframework aluminum (EFAl) as a model system because it greatly influences the product selectivity and catalytic stability in several zeolite catalyzed processes. Specifically, the GA was used to investigate the configurational possibilities of EFAl within the mordenite (MOR) and ZSM-5 frameworks. The xTB semi-empirical method within the GA was employed for an automated sampling of the EFAl-zeolite space. Furthermore, geometry refinement at the density functional theory (DFT) level of theory allowed us to improve the most stable configurations obtained from the GA and elaborate on the limitations of the xTB method. A subsequent ab initio thermodynamics analysis (aiTA) was chosen to predict the most favourable EFAl structure(s) under the catalytically relevant operando conditions.ChemE/Inorganic Systems EngineeringChemE/Algemee
Digital Transformation of the High-Technology Manufacturing: An Overview of Main Blockades
Quality of life is linked to a country\u27s or region\u27s economic progress. Recent academic research has found that the pace of digitalization of the economy and society is similar. Despite this, there is evidence of low digital/advanced manufacturing technology adoption preparedness across economic sectors, despite government assistance and senior manager strategic orientation. The research aims to measure industry and organizational readiness for digital/advanced manufacturing technology adoption. An expert poll conducted by the author’s revealed low industrial readiness for digital/advanced manufacturing technology. As a result, the research focuses on identifying organizational digital transformation hurdles. An examination of academic literature and digital maturity assessment frameworks revealed a paucity of criteria for evaluating barriers. The project seeks to establish a method for evaluating digital transformation barriers. A questionnaire developed using analytical research measures an overall digital-transformation barrier level for a manufacturing firm and identifies issue areas. The power engineering company has a lower barrier level, which aligns with the engine construction and turbine engineering industries\u27 higher degrees of readiness to use digital technology. This finding validates the author\u27s method\u27s reasonableness.
 
