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Strong associations exist between the crop productivity and the seasonal, biological, economical causes in natural ecosystems. The linkages like climatic conditions, health of a soil, growth of crop, irrigation, fertilizers, temperature, rainwater, pesticides desired to be preserved in comprehensively managed crop lands which impacts the crop potency. Crop yield prognosis plays a vibrant part in agricultural planning, administration and environs sustainability. Advancements in the field of Machine Learning have perceived novel expectations to improve the prediction performance in Agriculture. Highly gratifying prediction of crop yield helps the majority of agronomists for their rapid decision making in the choice of crop to be cultivated. This paper makes an attempt to suggest which crop can be sown at a particular district in Tamil Nadu, depending on the factors required for the growth of the crop based on the research outcomes. This is achieved by applying clustering on the attributes in the dataset using E-DBSCAN and is compared with three different algorithms such as DBSCAN, CLARA and K-means. The best suitable factor for the growth of a crop for a location is predicted using clustering techniques. The accuracy of crop yield prediction is calculated for three crops, namely, rice, wheat and maize. The proposed method outperforms in terms of Bias, F1 Score, MAPE, MDAE, MSE, RAE, RMSE and MAE with existing algorithms in the literature. [ABSTRACT FROM AUTHOR]

Objective: To find out differences in the presentation, management and outcomes of COVID-19 infected STEMI patients compared to age and sex-matched non-infected STEMI patients treated during the same period. Methods: This was a retrospective multicentre observational registry in which we collected data of COVID-19 positive STEMI patients from selected tertiary care hospitals across India. For every COVID-19 positive STEMI patient, two age and sex-matched COVID-19 negative STEMI patients were enrolled as control. The primary endpoint was a composite of in-hospital mortality, re-infarction, heart failure, and stroke. Results: 410 COVID-19 positive STEMI cases were compared with 799 COVID-19 negative STEMI cases. The composite of death/reinfarction/stroke/heart failure was significantly higher among the COVID-19 positive STEMI patients compared with COVID-19 negative STEMI cases (27.1% vs 20.7% p value = 0.01); though mortality rate did not differ significantly (8.0% vs 5.8% p value = 0.13). Significantly lower proportion of COVID-19 positive STEMI patients received reperfusion treatment and primary PCI (60.7% vs 71.1% p value=< 0.001 and 15.4% vs 23.4% p value = 0.001 respectively). Rate of systematic early PCI (pharmaco-invasive treatment) was significantly lower in the COVID-19 positive group compared with COVID-19 negative group. There was no difference in the prevalence of high thrombus burden (14.5% and 12.0% p value = 0.55 among COVID-19 positive and negative patients respectively) Conclusions: In this large registry of STEMI patients, we did not find significant excess in in-hospital mortality among COVID-19 co-infected patients compared with non-infected patients despite lower rate of primary PCI and reperfusion treatment, though composite of in-hospital mortality, re-infarction, stroke and heart failure was higher.

Internet of Things (IoT) is growing day by day and becoming the part of human daily life. Internet of things is a global network of different connected machines or devices which uses intelligent interfaces for smart communications. Machines are communicating each other in order to exchange information to achieve smartness which in turn called IoT (Internet of Things). Machine to machine communications (M2M) act as a enabling technique towards IoT. Cognitive radio technology is introduced into M2M for the improved performance. This paper investigate the use of cognitive M2M in the area of smart technologies. Performance results show that cognitive M2M achieves greater throughput and energy efficiency when compared with noncognitive M2M. [ABSTRACT FROM AUTHOR]

The pharmacochemical characterization and antibacterial activity of the leaf extracts of Suaeda monoica Forssk ex Gmel. was investigated using standard methods. Physicochemical parameters (ash value and extractive value; fluorescence analysis) and phytochemical analysis were done by using the standard methods. The petroleum ether, benzene, ethyl acetate, methanol and ethanol extracts were tested against Bacillus thuringiensis, Bacillus subtilis, Streptococcus faecalis, Streptococcus pyogens, Staphylococcus aureus, Enterococcus faecalis, Salmonella paratyphi A and B, Salmonella paratyphi, Proteus mirabilis, Proteus vulgaris, Escherichia coli, Klebsiella pneumoniae ,Pseudomonas aeruginosa, Serratia marcescens, Mycobacterium smegmatis, Staphylococcus aureus (Methicillin sensitive), Psuedomonas aeruginosa (ESBL) and Escherrichia coli (ESBL) by the agar disc diffusion method. The total ash value of leaf of S.monoica is 8.24%. The extractive value of water is more than in the solvents investigated. Preliminary phytochemical screening of leaf showed the presence of alkaloids, catachins, coumarins, flavonoids, phenols, steroids, tannins, terpenoids, xanthoprotein, and sugar in the methanol and ethanol extracts. The leaf extracts of S.monoica showed potent antibacterial activity. The present investigation revealed that the S.monoica leaves are potential good source of antibacterial agents. The pharmacochemical characterization study will be helpful to study the active principles using modern techniques in the later part of this work. [ABSTRACT FROM AUTHOR]

In the present study, in vitro antioxidant and free radical scavenging capacity of methanol extract from Dioscorea spicata tuber were evaluated using established in vitro models such as DPPH, hydroxyl radical, superoxide radical, ABTS radical cation and reducing power. Total phenolic and flavonoid contents were estimated. Methanol extract showed considerable in vitro antioxidant and free radical scavenging activities in a dose dependent manner when compared to the standard antioxidant (ascorbic acid/trolox). Thus, this study suggests that D.spicata tuber can be as a potent source of natural antioxidant. [ABSTRACT FROM AUTHOR]

Objectives: The presentation and outcomes of acute decompensated heart failure (ADHF) during COVID times (June 2020 to Dec 2020) were compared with the historical control during the same period in 2019., Methods: Data of 4806 consecutive patients of acute HF admitted in 22 centres in the country were collected during this period. The admission patterns, aetiology, outcomes, prescription of guideline-directed medical therapy (GDMT) and interventions were analysed in this retrospective study., Results: Admissions for acute heart failure during the pandemic period in 2020 decreased by 20% compared to the corresponding six-month period in 2019, with numbers dropping from 2675 to 2131. However, no difference in the epidemiology was seen. The mean age of presentation in 2019 was 61.75 (±13.7) years, and 59.97 (±14.6) years in 2020. There was a significant decrease in the mean age of presentation (p = 0.001). Also. the proportion of male patients decreased significantly from 68.67% to 65.84% (p = 0.037). The in-hospital mortality for acute heart failure did not differ significantly between 2019 and 2020 (4.19% and 4.,97%) respectively (p = 0.19). The proportion of patients with HFrEF did not change in 2020 compared to 2019 (76.82% vs 75.74%, respectively). The average duration of hospital stay was 6.5 days., Conclusion: The outcomes of ADHF patients admitted during the Covid pandemic did not differ significantly. The length of hospital stay remained the same. The study highlighted the sub-optimal use of GDMT, though slightly improving over the last few years., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: ALL PARTICIPATING CENTRE CO INVESTIGATORS reports financial support was provided by Cardiological Society of India., (Copyright © 2023 Cardiological Society of India. Published by Elsevier, a division of RELX India, Pvt. Ltd. All rights reserved.)