183 research outputs found
Nanotrap grafted anionic MOF for superior uranium extraction from seawater
Full text linkOn-demand uranium extraction from seawater (UES) can mitigate growing sustainable energy needs, while high salinity and low concentration hinder its recovery. A novel anionic metal-organic framework (iMOF-1A) is demonstrated adorned with rare Lewis basic pyrazinic sites as uranyl-specific nanotrap serving as robust ion exchange material for selective uranium extraction, rendering its intrinsic ionic characteristics to minimize leaching. Ionic adsorbents sequestrate 99.8% of the uranium in 120 mins (from 20,000 ppb to 24 ppb) and adsorb large amounts of 1336.8 mg g−1 and 625.6 mg g−1 from uranium-spiked deionized water and artificial seawater, respectively, with high distribution coefficient, KdU ≥ 0.97 × 106 mL g−1. The material offers a very high enrichment index of ≈5754 and it achieves the UES standard of 6.0 mg g−1 in 16 days, and harvests 9.42 mg g−1 in 30 days from natural seawater. Isothermal titration calorimetry (ITC) studies quantify thermodynamic parameters, previously uncharted in uranium sorption experiments. Infrared nearfield nanospectroscopy (nano-FTIR) and tip-force microscopy (TFM) enable chemical and mechanical elucidation of host-guest interaction at atomic level in sub-micron crystals revealing extant capture events throughout the crystal rather than surface solely. Comprehensive experimentally guided computational studies reveal ultrahigh-selectivity for uranium from seawater, marking mechanistic insight
Proteomic analysis of fungal species in response to various antifungal agents for novel drug development
No full textFIGURE 5 in A new species of Cephalaeschna Selys, 1883 (Odonata: Anisoptera: Aeshnidae) from Neora Valley National Park, West Bengal, India, with notes on C. acanthifrons Joshi & Kunte, 2017 and C. viridifrons (Fraser, 1922)
No full textFIGURE 5: A. Cephalaeschna acanthifrons holotype from Arunachal Pradesh, thorax [Photo by Subhajit Mazumder]; B. Cephalaeschna viridifrons from Neora Valley National Park, West Bengal, India [Photo by the author]; C. C. acanthifrons, face [Photo by Subhajit Mazumder]; D. C. viridifrons from Neora Valley National Park, face [Photo by the author]; E. C. viridifrons from Neora Valley National Park, abdomen dorsal view [Photo by the author]; F. C. acanthifrons holotype, anal appendages [Photo by Shantanu Joshi, NCBS]; G. C. viridifrons from Assam, anal appendages (reproduced from Asahina 1981a); H. C. viridifrons from Nepal, anal appendages (reproduced from Asahina 1981a); I. C. viridifrons from Neora Valley National Park, anal appendages [Photo by the author].Published as part of Dawn, Prosenjit, 2021, A new species of Cephalaeschna Selys, 1883 (Odonata: Anisoptera: Aeshnidae) from Neora Valley National Park, West Bengal, India, with notes on C. acanthifrons Joshi & Kunte, 2017 and C. viridifrons (Fraser, 1922), pp. 371-380 in Zootaxa 4949 (2) on page 378, DOI: 10.11646/zootaxa.4949.2.10, http://zenodo.org/record/463619
Subscription based server using Blockchain with Web3 Technology
No full text<p>FOSET Academic MEET 2023</p>
Productos naturales con propiedades neuroprotectivas: posibles candidatos para el tratamiento de enfermedades neurodegenerativas
Full text linkNeurodegeneration is a progressive loss of neurons both structurally and functionally causing neuronal cell death ultimately leading to development of various neurodegenerative diseases. Due to poor pharmacokinetic profile of neurotrophins, there still remains a challenge in their neurotrophic therapy where plants, bacteria and fungi, as natural products, could act as promising candidates against various neurological disorders by modulating the neurotrophic activity. Therefore, these natural products that mimic neurotrophins, could develop novel therapeutic approaches to herbal drug that can ameliorate neurodegenerative diseases such as Parkinson’s disease, Alzheimer’s disease and other associated neurological disorders. Taking into account the failure of strategies involving single neurotrophins for the treatment of neurodegenerative diseases, we propose a combination of small molecules of natural products that may work synergistically to restore neuronal functions, minimize side effects and target multiple pathways for a more effective treatment.La neurodegeneración es una pérdida progresiva de neuronas, tanto estructural como funcional, que causa la muerte neuronal, lo que conduce al desarrollo de diversas enfermedades neurodegenerativas. Debido al pobre perfil farmacocinético de las neurotrofinas, existe un desafío en su terapia neurotrófica donde plantas, bacterias y hongos, como productos naturales, podrían actuar como candidatos contra diversos trastornos neurológicos al modular la actividad neurotrófica. Estos productos naturales que asemejan a las neurotrofinas podrían desarrollar enfoques terapéuticos novedosos como medicamentos a base de hierbas que pueden mejorar enfermedades neurodegenerativas como: Parkinson, Alzheimer y otros trastornos neurológicos asociados. Teniendo en cuenta el fracaso de las estrategias terapéuticas de neurotrofinas para las enfermedades neurodegenerativas, proponemos una combinación de pequeñas moléculas de productos naturales que pueden funcionar sinérgicamente para restaurar las funciones neuronales, minimizar los efectos secundarios y apuntar a múltiples vías para un tratamiento más efectivo
Depth-weighted robust multivariate regression with application to sparse data
No full textA robust method for multivariate regression is developed based on robust estimators of the joint location and scatter matrix of the explanatory and response variables using the notion of data depth. The multivariate regression estimator possesses desirable affine equivariance properties, achieves the best breakdown point of any affine equivariant estimator, and has an influence function which is bounded in both the response as well as the predictor variable. To increase the efficiency of this estimator, a re-weighted estimator based on robust Mahalanobis distances of the residual vectors is proposed. In practice, the method is more stable than existing methods that are constructed using subsamples of the data. The resulting multivariate regression technique is computationally feasible, and turns out to perform better than several popular robust multivariate regression methods when applied to various simulated data as well as a real benchmark data set. When the data dimension is quite high compared to the sample size it is still possible to use meaningful notions of data depth along with the corresponding depth values to construct a robust estimator in a sparse setting.We are thankful to the editor, associate editor, and two anonymous referees for their useful comments which led to an improvement in the method and the article
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