Advances in Radar Remote Sensing of Agricultural Crops: A Review

There are enormous advantages of a review article in the field of emerging technology like radar remote sensing applications in agriculture. This paper aims to report select recent advancements in the field of Synthetic Aperture Radar (SAR) remote sensing of crops. In order to make the paper comprehensive and more meaningful for the readers, an attempt has also been made to include discussion on various technologies of SAR sensors used for remote sensing of agricultural crops viz. basic SAR sensor, SAR interferometry (InSAR), SAR polarimetry (PolSAR) and polarimetric interferometry SAR (PolInSAR). The paper covers all the methodologies used for various agricultural applications like empirically based models, machine learning based models and radiative transfer theorem based models. A thorough literature review of more than 100 research papers indicates that SAR polarimetry can be used effectively for crop inventory and biophysical parameters estimation such are leaf area index, plant water content, and biomass but shown less sensitivity towards plant height as compared to SAR interferometry. Polarimetric SAR Interferometry is preferable for taking advantage of both SAR polarimetry and SAR interferometry. Numerous studies based upon multi-parametric SAR indicate that optimum selection of SAR sensor parameters enhances SAR sensitivity as a whole for various agricultural applications. It has been observed that researchers are widely using three models such are empirical, machine learning and radiative transfer theorem based models. Machine learning based models are identified as a better approach for crop monitoring using radar remote sensing data. It is expected that the review article will not only generate interest amongst the readers to explore and exploit radar remote sensing for various agricultural applications but also provide a ready reference to the researchers working in this field

Evaluating Quality of Matrimonial Websites: Balancing Emotions with Economics

There are a plethora of studies evaluating the quality of websites on functional and design-related aspects such as usability and visual parameters. The majority of these studies are related to e-commerce websites where individuals make decision largely relying on economic parameters. However, matrimonial websites are unique, as the decisions involve both economic and non-economic parameters. Therefore, this study aims to propose a framework to evaluate quality of matrimonial websites by incorporating contextual factors and examine differences among different groups of users. This study proffers a website evaluating framework considering non-economic and emotion based factors from the information systems (IS) success model and the search match interaction (SMI) framework. The study proposes a hybrid model of multi-criteria decision-making techniques—namely Fuzzy-AHP and ranking models such as evaluation based on distance from average solution (EDAS), technique for order of preference by similarity to ideal solution (TOPSIS), and complex proportional assessment (COPRAS). The results indicate that the context-specific factors related to search and matchmaking options are the most preferred parameters for evaluation. Males and females have been found to differ in their preferences related to service quality and price. Next, the study compares the performance of three ranking models, namely EDAS, TOPSIS, and COPRAS. The first and second models provide similar results, while the rankings obtained through COPRAS differ slightly. The study contributes towards website evaluation literature by highlighting the importance of contextual factors while evaluating the matrimonial websites and the differences among preferences of the users

Spin-charge and spin-orbital coupling effects on spin dynamics in ferromagnetic manganites

Correlation-induced spin-charge and spin-orbital coupling effects on spin dynamics in ferromagnetic manganites are calculated with realistic parameters in order to provide a quantitative comparison with experimental results for spin stiffness, magnon dispersion, magnon damping, anomalous zone-boundary magnon softening, and Curie temperature. The role of orbital degeneracy, orbital ordering, and orbital correlations on spin dynamics in different doping regimes is highlighted.Comment: 19 pages, 9 figure

A Novel Approach for Triggering the Serverless Function in Serverless Environment

Serverless computing has gained significant popularity in recent years due to its scalability, cost efficiency, and simplified development process. In a serverless environment, functions are the basic units of computation that are executed on-demand, without the need for provisioning and managing servers. However, efficiently triggering serverless functions remains a challenge, as traditional methodologies often suffer from latency, Time limit and scalability issues and the efficient execution and management of serverless functions heavily rely on effective triggering mechanisms. This research paper explores various design considerations and proposes a novel approach for designing efficient triggering mechanisms in serverless environments. By leveraging our proposed methodology, developers can efficiently trigger serverless functions in a variety of scenarios, including event-driven architectures, data processing pipelines, and web application backend

Evaluating Quality of Matrimonial Websites: Balancing Emotions with Economics

There are a plethora of studies evaluating the quality of websites on functional and design-related aspects such as usability and visual parameters. The majority of these studies are related to e-commerce websites where individuals make decision largely relying on economic parameters. However, matrimonial websites are unique, as the decisions involve both economic and non-economic parameters. Therefore, this study aims to propose a framework to evaluate quality of matrimonial websites by incorporating contextual factors and examine differences among different groups of users. This study proffers a website evaluating framework considering non-economic and emotion based factors from the information systems (IS) success model and the search match interaction (SMI) framework. The study proposes a hybrid model of multi-criteria decision-making techniques—namely Fuzzy-AHP and ranking models such as evaluation based on distance from average solution (EDAS), technique for order of preference by similarity to ideal solution (TOPSIS), and complex proportional assessment (COPRAS). The results indicate that the context-specific factors related to search and matchmaking options are the most preferred parameters for evaluation. Males and females have been found to differ in their preferences related to service quality and price. Next, the study compares the performance of three ranking models, namely EDAS, TOPSIS, and COPRAS. The first and second models provide similar results, while the rankings obtained through COPRAS differ slightly. The study contributes towards website evaluation literature by highlighting the importance of contextual factors while evaluating the matrimonial websites and the differences among preferences of the users

Association of SUMOlation Pathway Genes With Stroke in a Genome-wide Association Study in India

OBJECTIVE: To undertake a genome-wide association study (GWAS) to identify genetic variants for stroke in an Indian population. METHODS: In a hospital-based case-control study, 8 teaching hospitals in India recruited 4,088 participants, including 1,609 stroke cases. Imputed genetic variants were tested for association with stroke subtypes using both single-marker and gene-based tests. Association with vascular risk factors was performed with logistic regression. Various databases were searched for replication, functional annotation, and association with related traits. Status of candidate genes previously reported in the Indian population was also checked. RESULTS: Associations of vascular risk factors with stroke were similar to previous reports and show modifiable risk factors such as hypertension, smoking, and alcohol consumption as having the highest effect. Single-marker–based association revealed 2 loci for cardioembolic stroke (1p21 and 16q24), 2 for small vessel disease stroke (3p26 and 16p13), and 4 for hemorrhagic stroke (3q24, 5q33, 6q13, and 19q13) at p < 5 × 10(−8). The index single nucleotide polymorphism of 1p21 is an expression quantitative trait locus (p(lowest) = 1.74 × 10(−58)) for RWDD3 involved in SUMOylation and is associated with platelet distribution width (1.15 × 10(−9)) and 18-carbon fatty acid metabolism (p = 7.36 × 10(−12)). In gene-based analysis, we identified 3 genes (SLC17A2, FAM73A, and OR52L1) at p < 2.7 × 10(−6). Eleven of 32 candidate gene loci studied in an Indian population replicated (p < 0.05), and 21 of 32 loci identified through previous GWAS replicated according to directionality of effect. CONCLUSIONS: This GWAS of stroke in an Indian population identified novel loci and replicated previously known loci. Genetic variants in the SUMOylation pathway, which has been implicated in brain ischemia, were identified for association with stroke

Dexmedetomidine versus midazolam as adjuvants to intrathecal bupivacaine: A clinical comparison

Background and Aims: Trials are being carried out to identify an adjuvant to intrathecal bupivacaine that preferably potentiates postoperative analgesia .This prospective, randomized, double-blind study was aimed to compare the onset and duration of sensory and motor block, postoperative analgesia and adverse effects of dexmedetomidine or midazolam given with 0.5% hyperbaric bupivacaine for spinal anesthesia. Material and Methods: A total of 80 patients, scheduled for vaginal hysterectomies, were randomly allocated to Group D (n = 40) to receive intrathecally 3.0 mL 0.5% hyperbaric bupivacaine +5 ug dexmedetomidine in 0.5 mL of normal saline; and Group M (n = 40) to receive 3 mL of 0.5% hyperbaric bupivacaine +2 mg midazolam in 0.4 mL (5 mg/mL) +0.1 mL normal saline. The onset, duration of sensory and motor block, time to first postoperative analgesia and side effects were noted. Power and Sample size (PS) version 3.0.0.34 was used for power and sample size calculation. Statistical analysis was performed using Microsoft (MS) Office Excel software with the Student′s t-test and Chi-square test (level of significance P = 0.05). Results: Duration of sensory, motor blockade and time to the first requirement of analgesia were significantly higher in Group D. Postoperative visual analog scale was significantly less in Group D than Group M. Both groups were similar with respect to sedation, hemodynamic variables and side-effects. Conclusion: Intrathecal dexmedetomidine was better adjuvant than midazolam as it produces significantly longer duration of sensory block, reduced doses of postoperative analgesic agents with comparable side-effects

Anaesthetic management in a child with an atypical triad for reconstructive scoliosis surgery

Scoliosis may be of varied aetiology and may be associated with severe congenital anomalies. It often poses a challenge in its anaesthetic management. We present anaesthetic management of a child who underwent scoliosis reconstruction with a rare triad of cerebral palsy, glucose-6-phosphate dehydrogenase deficiency and severe mitral regurgitation. Anaesthetic management in these patients should focus primarily on associated co-morbidities and congenital anomalies affecting the course of the perioperative management and thereafter comprehensive pre-operative strategies must be executed to enhance the safety profile during the surgery

Wheat leaf area index retrieval using RISAT-1 hybrid polarized SAR data

Leaf Area Index (LAI) is a key parameter to characterize the canopy–atmosphere interface, where most of the energy fluxes exchange. Space-borne satellite images have shown their relevance for various applications including LAI retrieval over large areas. Although optical data have been used for this purpose in previous studies, the constraints to acquire optical data during extreme weather conditions due to the presence of clouds, haze, smoke etc. hinders its use for uninterrupted monitoring. This study aims to analyze the relationships of C-band RISAT-1 hybrid polarized SAR data (σ˚RH and σ˚RV) with wheat LAI. The results have shown the correlation coefficient (|r|) of 0.57 and 0.73 for RH and RV backscatter, respectively, using non-linear regression approach. It is also observed that the accuracy of LAI retrieval has been significantly improved with |r| and RMSE of 0.81 and 0.54 (m2/m2), respectively, by considering both RH and RV backscatter as inputs for support vector machine-based model