An Insight into Application of Land Use Land Cover Analysis towards Sustainable Agriculture within Jhajjar District, Haryana

The increasing population, depletion of natural resources, semi-arid climatic and poor soil health conditions in Jhajjar district of Haryana have drawn major attention towards the changes in Land Use/Land Cover (LULC). The region's increasing population is mainly dependent upon the agrarian economy; thus, sustainable agricultural production is a major thrust area of research. The present study analyses the LULC changes in the area during two decades 2000 – 2020, using remote sensing and Geographic Information System (GIS). Landsat satellite images (Landsat-7 and Landsat-8 satellites) for 2000 and 2020 were analyzed for mixed classification based on unsupervised classification followed by supervised classification. The study area has experienced an increase in agricultural land, surface water bodies and built-up land by 16.89%, 79.73% and 56.41%, respectively. There is a decrease in barren land and fallow land by 48.53% and 36.97%, respectively, as per the five major LULC classes. The LULC analysis indicates an increase in built-up land, which is responsible for controlling agricultural productivity and unsustainable agricultural activities. The study provides a comprehensive understanding of the land use trajectory in a specific region in two decades and associated unsustainable changes in the agrarian economy through pressure on the increase in agricultural production and conversion of land mass into croplands. It also signifies climate-resilient agriculture and the management of sustainable agriculture

Biohydrogen production through dark fermentation from waste biomass:Current status and future perspectives on biorefinery development

Green and clean hydrogen production has become a significant focus in recent years to achieve sustainable renewable energy fuel needs. Biohydrogen production through the dark fermentation (DF) process from organic wastes is advantageous with its environmentally friendly, energy-efficient, and cost-effective characteristics. This article elucidates the viability of transforming the DF process into a biorefinery system. Operational pH, temperature, feeding rate, inoculum-to-substrate ratio, and hydrogen partial pressure and its liquid-to-gas mass transfer rate are the factors that govern the performance of the DF process. Sufficient research has been made that can lead to upscaling the DF process into an industrial-scale technology. However, the DF process cannot be upscaled at the current technology readiness level as a stand-alone technology. Hence, it requires a downstream process (preferably anaerobic digestion) to improve energy recovery efficiency and economic viability. The article also discusses the possible hydrogen purification and storage techniques for achieving fuel quality and easy accessibility. The article further tries to unfold the opportunities, challenges, and current scenario/future research directions to enhance hydrogen yield and microbial metabolism, depicting the commercialization status for biorefinery development. Finally, the current progress gaps and policy-level loopholes from the Indian perspective are highlighted by analyzing the strengths, weaknesses, opportunities, and threats

Comparison of intraocular pressure (IOP) measured by schiotz indentation and goldmann applanation tonometer: A cross-sectional study

Aim: This cross-sectional study was aimed to compare Schiotz indentation tonometer (ST) and Goldmann applanation tonometer (GAT) readings (in different ranges of IOP) in general population and also to determine the reliability of ST as a tool for mass screening of glaucoma. Material and Methods: This study was conducted on 200 patients who attended the OPD of Ophthalmology in tertiary centre of central Gujarat. The selected population was subjected to detailed anterior segment examination, ocular fundus for optic nerve head and objective determination of IOP of two eyes of the patients. Results: In our study, both GAT and ST showed no statistical difference in IOP between males and females. IOP increased with age. There was no statistical difference between GAT and ST in measuring IOP in range of 7-15 mmHg but ST overestimated GAT in pressure range of 7-15 mmHg. ST underestimated GAT in pressure range of 16-25 mmHg, there was significant difference between GAT and ST in measuring IOP in range of 16-25 mmHg.ST underestimated GAT in IOP reading above 26 mm Hg. Conclusion: In glaucoma screening where we want to detect minor difference between the high normal and abnormal IOP, measurement with ST would be rendered ineffective and it is therefore wise to re-estimate the IOP with GAT and also repeat reading with different weights of ST. But ST being an affordable, easy to maintain, and portable instrument can be used as mass screening tool for glaucoma though at borderline tension between 17 to 23 mmHg it is wise to re-estimate IOP with GAT

Epidermal Growth Factor Receptor Signaling in Acute Graft versus Host Disease: Hot or Not?

Part One of SeriesThis research was supported by the Undergraduate Research Scholarship (URS)

Biomarker-guided preemption of steroid-refractory graft-versus-host disease with α-1-antitrypsin

Steroid-refractory (SR) acute graft-versus-host disease (GVHD) remains a major cause of nonrelapse mortality (NRM) after allogeneic hematopoietic cell transplantation (HCT), but its occurrence is not accurately predicted by pre-HCT clinical risk factors. The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm probability (MAP) identifies patients who are at high risk for developing SR GVHD as early as 7 days after HCT based on the extent of intestinal crypt damage as measured by the concentrations of 2 serum biomarkers, suppressor of tumorigenesis 2 and regenerating islet-derived 3 alpha. We conducted a multicenter proof-of-concept "preemptive" treatment trial of alpha-1-antitrypsin (AAT), a serine protease inhibitor with demonstrated activity against GVHD, in patients at high risk for developing SR GVHD. Patients were eligible if they possessed a high-risk MAP on day 7 after HCT or, if initially low risk, became high risk on repeat testing at day 14. Thirty high-risk patients were treated with twice-weekly infusions of AAT for a total of 16 doses, and their outcomes were compared with 90 high-risk near-contemporaneous MAGIC control patients. AAT treatment was well tolerated with few toxicities, but it did not lower the incidence of SR GVHD compared with controls (20% vs 14%, P = 5.56). We conclude that real-time biomarker-based risk assignment is feasible early after allogeneic HCT but that this dose and schedule of AAT did not change the incidence of SR acute GVHD. This trial was registered at www.clinicaltrials.gov as #NCT03459040

Assessment of systemic and gastrointestinal tissue damage biomarkers for GVHD risk stratification

We used a rigorous PRoBE (prospective-specimen collection, retrospective-blinded-evaluation) study design to compare the ability of biomarkers of systemic inflammation and biomarkers of gastrointestinal (GI) tissue damage to predict response to corticosteroid treatment, the incidence of clinically severe disease, 6-month nonrelapse mortality (NRM), and overall survival in patients with acute graft-versus-host disease (GVHD). We prospectively collected serum samples of newly diagnosed GVHD patients (n = 730) from 19 centers, divided them into training (n = 352) and validation (n = 378) cohorts, and measured TNFR1, TIM3, IL6, ST2, and REG3 alpha via enzyme-linked immunosorbent assay. Performances of the 4 strongest algorithms from the training cohort (TNFR1 + TIM3, TNFR1 + ST2, TNFR1 + REG3 alpha, and ST2 + REG3 alpha) were evaluated in the validation cohort. The algorithm that included only biomarkers of systemic inflammation (TNFR1 + TIM3) had a significantly smaller area under the curve (AUC; 0.57) than the AUCs of algorithms that contained >= 1 GI damage biomarker (TNFR1 + ST2, 0.70; TNFR1 + REG3 alpha, 0.73; ST2 + REG3 alpha, 0.79; all P < .001). All 4 algorithms were able to predict short-term outcomes such as response to systemic corticosteroids and severe GVHD, but the inclusion of a GI damage biomarker was needed to predict long-term outcomes such as 6-month NRM and survival. The algorithm that included 2 GI damage biomarkers was the most accurate of the 4 algorithms for all endpoints