783 research outputs found
Recent advances in drug delivery technology/ Raj K. Keservani, Anil K. Sharma, and Rajesh Kumar Kesharwani [editors].
No full textIncludes bibliographical references and index."[This book] is a pivotal reference source for the latest scholarly research on the application of pharmaceutical technology to optimize techniques for drug delivery in patients"--Provided by publisher.Personalized approach in nanomedicine: understanding adverse effects and their risk assessment / Maria Vlasova, Boris V. Smirin -- Drug delivery strategies for tolerogenic therapy for autoimmune diseases in an antigen-specific manner / Kevin J. Peine [and 3 others] -- Cancer drug delivery: pharmacogenetics, biomarkers, and targeted therapies / Jai N. Patel, Jeryl Villadolid -- Genomics and proteomic approach in the treatment of various human diseases: applications of genomics and proteomics / Urmila Jarouliya, Raj K. Keservani -- Bioinformatics and its therapeutic applications / Sarvesh Kumar Gupta, Kamal Kumar Chaudhary, Nidhi Mishra -- An overview and therapeutic applications of nutraceutical and functional foods / Raj K. Keservani, Anil K. Sharma, Rajesh K. Kesharwani -- Phytoparmaceuticals and its applications in therapy / Alejandra Hernández-Ceruelos, Sergio Muñoz-Juarez, Patricia Vázquez-Alvarado -- A perspective on the phytopharmaceuticals responsible for the therapeutic applications / Rajesh K. Joshi -- Phytopharmaceutical applications of nutraceutical and functional foods / Dhan Prakash, Charu Gupta -- Cosmeceuticals: safety, efficacy and potential benefits / Long Chiau Ming [and 5 others] -- Cosmeceuticals: camel and other milk -- natural skin maintenance / Reuven Yagil -- Resealed erythrocytes as drug carriers and its therapeutic applications / Prabhakar Singh, Sudhakar Singh, Rajesh Kumar Kesharwani -- New herbal approaches for the treatment of diabetic kidney diseases and its therapeutic implications / Durgavati Yadav [and 3 others].1 online resource (509 pages)
Dissecting Proteomic Estimates for Enhanced Bioavailable Nutrition during Varied Stages of Germination and Identification of Potential Genotypes in Chickpea
No full textBackground: United Nations SDG-2 and SDG-3 pledges to end hunger, achieve food security, improve nutrition and reduce premature deaths of children persisting amongst 821 million people globally. Chickpeas, the second largest food legume in the world, are important due to dietary, therapeutic and health values since Roman times and are ideal source of protein, carbohydrate, minerals and β-carotene. Therefore, it is central to alleviate malnutrition and ensuring good health.
Methods: We conducted experiments during Rabi crop season 2018-19 and 2019-20 and studied proximate nutritional compositions such as protein, its bioavailability enhancement procedures, optimum sprouting stage and potential genotypes. The present series experiment as 6th one was undertaken to find out the impacts of varying seed seedlings germination stages at 0, 3 and 6 days on observed estimates of protein contents in 12 potential genotypes of chickpea including Pusa-256 as standard (control) check.
Result: We noticed erosion of reserved seed nutrients activating seedling growth and enhancing nutritional values, observed protein in the range of 18.96 to 28.69%, discovered 6 days sprouts giving highest digestible protein and identified genotypes BG-1092, ICC-11378, JG-74 as potential resources to be utilized in breeding programmes for harnessing their genetic potentials for enriching protein and other nutritional components
Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V
No full textThis volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant Singh, Rajesh Singh, V.V. Singh, Hansraj Yadav, Amit Bhaghel, Dipti Chauhan, V. Christianto, Priti Singh, and Dmitri Rabounski
Evidence for a role of nitric oxide in iron homeostasis in plants
No full textNitric oxide (NO), once regarded as a poisonous air pollutant, is now understood as a regulatory molecule essential for several biological functions in plants. In this review, we summarize NO generation in different plant organs and cellular compartments, and also discuss the role of NO in iron (Fe) homeostasis, particularly in Fe-deficient plants. Fe is one of the most limiting essential nutrient elements for plants. Plants often exhibit Fe deficiency symptoms despite sufficient tissue Fe concentrations. NO appears to not only up-regulate Fe uptake mechanisms but also makes Fe more bioavailable for metabolic functions. NO forms complexes with Fe, which can then be delivered into target cells/tissues. NO generated in plants can alleviate oxidative stress by regulating antioxidant defense processes, probably by improving functional Fe status and by inducing post-translational modifications in the enzymes/proteins involved in antioxidant defense responses. It is hypothesized that NO acts in cooperation with transcription factors such as bHLHs, FIT, and IRO to regulate the expression of enzymes and proteins essential for Fe homeostasis. However, further investigations are needed to disentangle the interaction of NO with intracellular target molecules that leads to enhanced internal Fe availability in plants.RKT is grateful to Department of Science and Technology-Science and Engineering Research Board (DST-SERB) New Delhi, for a Teachers Associateship for Research Excellence (TAR/2019/000064).Tewari, RK (corresponding author), Univ Lucknow, Dept Bot, Lucknow 226007, Uttar Pradesh, India.
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Impact of Crop Residue, Nutrients, and Soil Moisture on Methane Emissions from Soil under Long-Term Conservation Tillage
Get PDFGreenhouse gas emissions from agricultural production systems are a major area of concern in mitigating climate change. Therefore, a study was conducted to investigate the effects of crop residue, nutrient management, and soil moisture on methane (CH4) emissions from maize, rice, soybean, and wheat production systems. In this study, incubation experiments were conducted with four residue types (maize, rice, soybean, wheat), seven nutrient management treatments {N0P0K0 (no nutrients), N0PK, N100PK, N150PK, N100PK + manure@ 5 Mg ha−1, N100PK + biochar@ 5 Mg ha−1, N150PK+ biochar@ 5 Mg ha−1}, and two soil moisture levels (80% FC, and 60% FC). The results of this study indicated that interactive effects of residue type, nutrient management, and soil moisture significantly affected methane (CH4) fluxes. After 87 days of incubation, the treatment receiving rice residue with N100PK at 60% FC had the highest cumulative CH4 mitigation of −19.4 µg C kg−1 soil, and the highest emission of CH4 was observed in wheat residue application with N0PK at 80% FC (+12.93 µg C kg−1 soil). Nutrient management had mixed effects on CH4 emissions across residue and soil moisture levels in the following order: N150PK > N0PK > N150PK + biochar > N0P0K0 > N100PK + manure > N100PK + biochar > N100PK. Decreasing soil moisture from 80% FC to 60% FC reduced methane emissions across all residue types and nutrient treatments. Wheat and maize residues exhibited the highest carbon mineralization rates, followed by rice and soybean residues. Nutrient inputs generally decreased residue carbon mineralization. The regression analysis indicated that soil moisture and residue C mineralization were the two dominant predictor variables that estimated 31% of soil methane fluxes in Vertisols. The results of this study show the complexity of methane dynamics and emphasize the importance of integrated crop, nutrient, and soil moisture (irrigation) management strategies that need to be developed to minimize methane emissions from agricultural production systems to mitigate climate change.This article is published as Choudhary, Rajesh, Sangeeta Lenka, Dinesh Kumar Yadav, Narendra Kumar Lenka, Rameshwar S. Kanwar, Abhijit Sarkar, Madhumonti Saha, Dharmendra Singh, and Tapan Adhikari. "Impact of crop residue, nutrients, and soil moisture on methane emissions from soil under long-term conservation tillage." Soil Systems 8, no. 3 (2024): 88. doi: https://doi.org/10.3390/soilsystems8030088
Learning approach among health sciences students in a medical college in Nepal: a cross-sectional study
No full textDev Kumar Shah, Ram Lochan Yadav, Deepak Sharma, Prakash Kumar Yadav, Niraj Khatri Sapkota, Rajesh Kumar Jha, Md Nazrul Islam Department of Physiology, Chitwan Medical College, Bharatpur, Chitwan, Nepal Background: Many factors shape the quality of learning. The intrinsically motivated students adopt a deep approach to learning, while students who fear failure in assessments adopt a surface approach to learning. In the area of health science education in Nepal, there is still a lack of studies on learning approach that can be used to transform the students to become better learners and improve the effectiveness of teaching. Therefore, we aimed to explore the learning approaches among medical, dental, and nursing students of Chitwan Medical College, Nepal using Biggs’s Revised Two-Factor Study Process Questionnaire (R-SPQ-2F) after testing its reliability. Methods: R-SPQ-2F containing 20 items represented two main scales of learning approaches, deep and surface, with four subscales: deep motive, deep strategy, surface motive, and surface strategy. Each subscale had five items and each item was rated on a 5-point Likert scale. The data were analyzed using Student’s t-test and analysis of variance. Reliability of the administered questionnaire was checked using Cronbach’s alpha. Results: The Cronbach’s alpha value (0.6) for 20 items of R-SPQ-2F was found to be acceptable for its use. The participants predominantly had a deep approach to learning regardless of their age and sex (deep: 32.62±6.33 versus surface: 25.14±6.81, P<0.001). The level of deep approach among medical students (33.26±6.40) was significantly higher than among dental (31.71±6.51) and nursing (31.36±4.72) students. In comparison to first-year students, deep approach among second-year medical (34.63±6.51 to 31.73±5.93; P<0.001) and dental (33.47±6.73 to 29.09±5.62; P=0.002) students was found to be significantly decreased. On the other hand, surface approach significantly increased (25.55±8.19 to 29.34±6.25; P=0.023) among second-year dental students compared to first-year dental students. Conclusion: Medical students were found to adopt a deeper approach to learning than dental and nursing students. However, irrespective of disciplines and personal characteristics of participants, the primarily deep learning approach was found to be shifting progressively toward a surface approach after completion of an academic year, which should be avoided. Keywords: deep, surface, motive, strateg
Modern techniques for agricultural disease management and crop yield prediction Advances in environmental engineering and green technologies (AEEGT) book series./ N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif, [editors].
No full text"eISSN: 2326-9170."Includes compilation of bibliographical references (pages 259-284) and index."This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher.Issues and challenges in smart farming for sustainable agriculture / Immanuel Zion Ramdinthara, Shanthi Bala P -- Image processing techniques aiding smart agriculture / Aspira S. Tripathy, Deepak Kumar Sharma -- Expert system design for diagnosis of diseases for paddy crop / Sreekantha Desai Karanam, Deepthi M.B. -- Deep learning and computer vision in smart agriculture / Shiv Kumar, Agrima Yadav, Deepak Kumar Sharma -- Computer vision for green plant segmentation and leaf count / Praveen Kumar J., Domnic S. -- Automatic data acquisition and spot disease identification system in plants pathology domain : agricultural intelligence system in plant pathology domain / Rajesh T.M., Kavyashree Dalawai, Pradeep N. -- Applications of data mining techniques in smart farming for sustainable agriculture / Anandhavalli Muniasamy -- Agro guardian : a smart agriculture framework for precision farming / Sanjeevakumar M. Hatture, Susen P. Naik -- A study on technology-LED solution for fruit grading to address post-harvest handling issues of horticultural crops / Arun Kumar R., Vijay S. Rajpurohit, Sandeep Kautish -- Optimized data mining techniques for outlier detection, removal, and management zone delineation for yield prediction / Roopa G.M., Arun Kumar G.H., Naveen Kumar J.R., Nirmala C.R.1 online resource (xix, 291 pages)
Assessment of Articular Cartilage by Second Harmonic Microscopy: Challenges and Opportunities
Get PDFSecond harmonic microscopy (SHM) has emerged as a powerful non-destructive optical imaging modality that has high potential to perform the advanced structural characterization of intact articular cartilage. This article provides the current status, opportunities, and challenges of SHM for the use in cartilage evaluation. A novel perspective on SHM is being addressed that includes the reason, need and the importance of SHM in the assessment of articular cartilage. By taking the advantage of collagen specificity and high-resolution imaging, SHM can detect the structural and morphological changes in early stage cartilage damage that would otherwise be overlooked by standard clinical imaging methods such as radiography and arthroscopy. The current status of SHM for articular cartilage analysis and the major progress reported in recent literature are briefly described herein. We summarize the status of scientific efforts and the challenges that need to overcome before moving toward clinical applications of SHM in the context of cartilage evaluation.publishedVersionCopyright © 2019 Kumar and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms
A short note on “Group theoretic approach to rationally extended shape invariant potentials” [Ann. Phys. 359 (2015) 46–54]
Get PDFIt is proved the equivalence of the compatibility condition of Ramos (2011, 2012) with a condition found in Yadav et al. (2015). The link of Shape Invariance with the existence of a Potential Algebra is reinforced for the rationally extended Shape Invariant potentials. Some examples on X1 and Xl Jacobi and Laguerre cases are given
Investigations on Dielectric Resonator Antennas for Ultra-Wide Band Applications
No full textPh.D. thesisAs the recent trending wireless systems are trending upward, UWB technology heralds a new age for wireless communication systems. It has a high data rate while consuming low power. Communication is becoming a part of the everyday living of individuals. As such, to accomplish efficient and proper wireless communication, compact and effective radiators are required. Undoubtedly, one of the effective radiators is a dielectric resonator antenna (DRA). The DRA is economical and has attractive highlights such as simple planning, basic construction strategies, and adaptability in the structure to meet the required frequencies. DRAs are superior and preferred replacements with printed antennas and microstrip patch antennas due to their high radiation efficiency, high data transfer capability, and adaptability of polarization.
This thesis recommends wide bandwidth and wide axial ratio bandwidth in a rectangular DRA (RDRA). With miniaturized DRA, some techniques such as air-spaced within dielectric resonator structure, perturbation theory, defective ground structure, stacking, segmenting, and merging modes of bandwidth improvement achieve the ultra-wideband operations. It also includes UWB DRA with multiple-input multiple-output (MIMO) configuration.
In objective 2, an air-spaced DRA is designed, simulated, and fabricated for UWB operations. This antenna consists of a rectangular dielectric resonator, microstrip feedline, and modified ground plane. A cylindrical-shaped structure is extracted from a solid rectangular DR to improve the antenna's gain and impedance bandwidth. The present work demonstrates gain enhancement by increasing the diameter of the air-gap within the solid structure of the RDR. A defective ground structure (DGS) is used to improve the antenna's impedance bandwidth in order to achieve UWB operation. The proposed antenna has a 104.09% impedance bandwidth (3.28 to 10.4 GHz) with a peak gain of 7.2 dB at 7.8 GHz.
OM-shaped DRA and Stacked Asymmetric DRA are two designs presented by Objective 3. First design, dielectric resonator (DR) modified to an ‘OM’ shape for UWB (3.1 to 11.3GHz) operations to support high data rate multimedia applications for 4G/5G communications. It has overall antenna dimensions of 50 × 40 × 4.87 mm3. DRA is excited by a P-type transformer fed that offers an input impedance of 50 Ω. A conformal strip is attached between the feedline and the OM-shaped DR to improve DRA impedance matching. This ‘OM’ shaped DR structure excites the TE111 mode at 4.9 GHz, and two higher-order modes as TE211, and TE221, at 7.2 and 8.35 GHz, respectively. The proposed DRA has an impedance bandwidth of 8.2 GHz from 3.1 to 11.3 GHz with a peak gain of 7.68 dB at 10.5 GHz. the proposed DRA exhibits an elliptically polarized behavior with axial ratio bandwidth of 5.1GHz (≤ 10dB) from 6 to 11.1 GHz. A compact circularly polarised asymmetric-stacked DRA for UWB operations is developed in the second design, which is excited by a transformer-type feedline. The proposed DRA consists of two rectangular ceramic blocks with the same permittivity (DR = 9.8) but differing in height and width of DR, and an F-shaped metal strip added to the partial ground, which achieves the widen axial ratio bandwidth. The proposed antenna is supported fundamental and third-order modes as TE_δ11 and TE_δ13 at 9.1 and 11.28 GHz, respectively. The proposed antenna covers 6.4 to 12.4 GHz (impedance bandwidth of 63.8 %) with a peak gain of 6.01 dBi at 11.5 GHz and AR bandwidth (≤ 3 dB) is reported 63.8% (6.4 to 12.4 GHz.
Objective 4 has proposed two MIMO DRA designs as rack-shaped DRA and cross-strip based DRA. In the first design, a rack-shaped two radiator element MIMO DRA is proposed for ultra-wideband applications. Two rectangular-shaped radiator elements are used to implement the proposed MIMO antenna structure, which are further transformed into rack-shaped dielectric resonators (DRs). An inverted T-shaped metallic strip is placed between two radiators to achieve the impedance bandwidth of 101.87 % (3.54 to 10.89 GHz) with isolation of 15.6 dB. Second design has better impedance bandwidth and isolation as compare to design 1. The cross-metallic strip based RDRA consists of two RDR, Inverted T- shaped metallic strip, scissor-shaped defected ground structure, cross-shaped metallic parasitic strips, and ground stub. Which provides an impedance bandwidth of 104.6 %, covering frequency from 3.3 to 10.8 GHz with isolation of 20 dB. The MIMO diversity parameters are implemented within the limit in both proposed design
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