EXECUTE IOT-BASED HEALTHCARE SOLUTIONS BASED ON CLOUD COMPUTING

Patient monitoring arrangements are gaining their relevance as the fast-growing international aged public increases demands for sympathetic. These structures use cellular technologies to relay vital sign for therapeutic interpretation. The aim of the proposed sniff out arranges a correct strength care to folk from the company in more commercial and pertinent affable practice. The need of home situated fitness monitoring structure is elevated nowadays for the sake of strength care cost is developing exponentially in last few decenniums. In the planned home occupying well-being monitoring structure applying cyber resourceful dial includes the aspects of return of therapeutic parameters like Body condition, Pulse rate, and ECG. Processing of a poised data practicing ARM7 (LPC2148) processor and prepared data is then spread out on doctors or relatives hominoid mobile buzz. Also, the data perhaps spread out on workstation. The technique is utilizing a competitive unit to carry data like ECG to MD for monitoring; interpretation and patients care at kind of economical, withal patient’s location

EFFECT OF DATA QUALITY ON WATER BODY SEGMENTATION WITH DEEPLABV3+ ALGORITHM

Training Deep Learning (DL) algorithms for segmenting features require hundreds to thousands of input data and corresponding labels. Generating thousands of input images and labels requires considerable resources and time. Hence, it is common practice to use opensource imagery data and labels available online. Most of these open-source data have little or no metadata describing their quality or suitability making it problematic for training or evaluating DL models. This study evaluated the effect of data quality on training DeepLabV3+, using Sentinel 2 A/B RGB images and labels obtained from Kaggle. We generated subsets of 256 × 256 pixels, and 10% of these images (802) were set aside for testing. First, we trained and validated the DeepLabV3+ model with the remaining images. Second, we removed images with incorrect labels and trained another DeepLabV3+ network. Finally, we trained the third DeepLabV3+ network after removing images with turbid water or with floating vegetation. All three trained models were evaluated with test images and then we calculated accuracy metrics. As the quality of the input images improved, accuracy of the predicted masks generated from the first model increased from 92.8% to 94.3% in the second model. The third model’s accuracy was 96.4%, demonstrating the network’s ability to better learn and predict water bodies when the input data had fewer class variations. Based on the results we recommend assessing the quality of open-source data for incorrect labels and variations in the target class prior to training DeepLabV3+ or any other DL network

Effects of Single and Integrated Water, Sanitation, Handwashing, and Nutrition Interventions on Child Soil-Transmitted Helminth and Giardia infections: A Cluster-Randomized Controlled Trial in Rural Kenya

Helminth and protozoan infections affect more than 1 billion children globally. Improving water quality, sanitation, handwashing, and nutrition could be more sustainable control strategies for parasite infections than mass drug administration, while providing other quality of life benefits

Influence of Plant Geometry and Cultivars on Growth, Yield Attributes and Yield of HDPS Cotton under Rainfed Shallow Soils

A field experiment was conducted at Siddapur research farm, Regional Agricultural Research Station, Warangal, Telangana, India during kharif 2022 to investigate the effect of plant geometry and cultivars on growth and yield of cotton under high plant density system. The results revealed that plant height (102.7 cm) and drymatter production (6499 kg ha-1) were significantly higher at ultra narrow spacing of 90 x 15 cm (74,074 plants ha-1) than medium and wider spacings of 90 x 30 and 90 x 60 cm, respectively but, was on par with narrow spacing of 90 x 20 cm (55,555 plants ha-1). Though sympodial branches plant-1 (16.4) and number of bolls plant-1 (24.0) were significantly greater with wider spacing (90 x 60 cm: 18,518 plants ha-1), adoption of high plant density method of 90 x 15 cm spacing (74,074 plants ha-1) (2707 kg ha-1) and 90 x 20 cm (55,555 plants ha-1) (2498 kg ha-1) resulted in significantly higher seed cotton yield. The yield from 90x15 cm was 26.2% and 11.7% higher than that of 90 x 30 cm (2391 kg ha-1) and 90 x 60 cm (1998 kg ha-1), respectively. In case of cultivars, though growth and yield attributes were not significantly influenced, but, the boll weight (5.2) and seed cotton yield (2845 kg ha-1) were significantly higher with NCS 2778 over other cultivars viz., Bt Suraj (2151 kg ha-1), WGCV-79 (2310 kg ha-1) and ADB-39 (2288 kg ha-1)

A Review on Bio-Based Control of Post-Harvest Diseases

Bacillus subtilis non-pathogenic beneficial bacteria, promotes plant growth, disease resistance and tolerance to abiotic stresses. It produces bioactive substances with antibiotic properties and induces physiological features in plant metabolism without adverse effects on the environment or human health. Bacillus subtilis has been used to treat various postharvest diseases during handling, transportation and storage of various fresh fruits and vegetables. It is the first microorganism patented as a postharvest bio control agent for Brown rot of stone fruits, improving the post-harvest physiology of various fruit/vegetables. Bacillus strains AG1 and H110 have been shown to be effective against Vine wood fungal pathogens and post-harvest pathogens. They have been shown to reduce symptoms of Anthracnose in fruit caused by fungal pathogens Colletotrichum gloeosporioides and C. acutatum and White rot caused by Botryosphaeria dothidea. Endophytic Bacillus strains have been developed that can colonize plant tissues and live in the same ecological niches as pathogens, thus preventing post-harvest diseases and improving preservation during storage. Bacillus strains induce auxins, cytokinins, gibberellins, ABA, JA and SA in plants, which can stimulate plant growth under stressful conditions. Endophytic bacteria can induce ISR against pathogens and abiotic stressors, extending the shelf life of stored fruits and vegetables. Microbial antagonists can be applied after harvest to control fruit and vegetable diseases, but a single microbial strain cannot prevent all fruits/vegetables from decaying during storage. Combining diverse antagonistic microorganisms with diverse microbial activity and combining various bio-controlling characteristics can prevent post-harvest decay on fruits/vegetables

Design, synthesis and characterization of novel paracetamol derivatives to target breast cancer

1257-1272Most breast cancers are Estrogen Receptor-positive type. In the mammary epithelial, estrogen controls many cellular activities such as proliferation, differentiation and migration. There are two genetically distinct and functional estrogen receptors (ERs), ERα and ERβ, belonging to the superfamily of nuclear receptors for steroid/thyroid harmones. Estrogenexert its functions in different tissues by binding with its receptors, including alpha and beta (ERα and ERβ). Estrogen Receptor alpha (ERα) controls breast tissue development and progression of breast cancer. Paracetamol is one of the most widely used medicines. A recent experimental study suggests that paracetamol may have several pharmacological effects other than its well known analgesic/antipyretic properties. The docking study was performed on different paracetamol derivatives using Schrodinger 2015 (maestro 10.1) on Human Estrogen Receptor Alpha Ligand-Binding Domain (1XP6) and Endothelial nitric oxide synthase (3NLE). The in silico studies indicate that N-(4-((1H-1,2,3-triazol-4-yl)methoxy)phenyl) acetamide derivatives exhibit comparable docking score and good hydrogen bond interactions at Ligand binding domain of ERα and 3NLE. Based on the docking studies, a new series of N-(4-((1H-1,2,3-triazol-4-yl)methoxy)phenyl) acetamide derivatives have been synthesized by employing click chemistry approach. Nine compounds have been evaluated for their cytotoxicity in MCF-7 cell line and anti oxidant activity. Many of the synthesized compounds exhibit potent cytotoxic and anti oxidant activity. In particular 5c, 5g, and 5b compounds show most potent cytotoxicity with IC50 value of 19.83, 20.57, 20.83 µg/mL respectively and 5e and 5f show most potent anti oxidant activity with IC50 value of 0.4, 0.5 µg/mL respectively

Genetic diversity analysis using shoot and root morphological markers in castor (Ricinus communis L.)

The morphological variation and genetic diversity in 15 root and shoot characters was studied in 27 castor accessions sown in an elevated temporary root study structure. Variation in characters accounted to 3.05 to 50.29%. Characters were subjected to Shannon Weaver diversity index (H`) to know the genetic diversity. Eleven traits recorded high H` indicating suitability in breeding programmes. Their regression coefficients indicated positive change for six traits in dependent variable seed yield. Phenotypic correlation studies revealed that seed yield was significantly correlated to root dry weight, root diameter, plant height, node number, effective spike length and 100 seed weight. Principal component analysis (PCA) revealed that PC1, 2 and 3 accounted for 44.52, 15.93 and 10.54% variation. High loadings in the first three PCs were recorded for nine traits viz., root dry weight, shoot dry weight, root length, total root length, root diameter at crown region, SCMR, effective spike length, node number to primary spike. Hence, present studies gains importance in understanding the root related traits and their role in quantifying the genotypes in terms of divergence

Association between Malaria Infection and Early Childhood Development Mediated by Anemia in Rural Kenya.

Malaria is a leading cause of morbidity and mortality among children under five years of age, with most cases occurring in Sub-Saharan Africa. Children in this age group in Africa are at greatest risk worldwide for developmental deficits. There are research gaps in quantifying the risks of mild malaria cases, understanding the pathways linking malaria infection and poor child development, and evaluating the impact of malaria on the development of children under five years. We analyzed the association between malaria infection and gross motor, communication, and personal social development in 592 children age 24 months in rural, western Kenya as part of the WASH Benefits environmental enteric dysfunction sub-study. Eighteen percent of children had malaria, 20% were at risk for gross motor delay, 21% were at risk for communication delay, and 23% were at risk for personal social delay. Having a positive malaria test was associated with increased risk for gross motor, communication, and personal social delay while adjusting for child characteristics, household demographics, study cluster, and intervention treatment arm. Mediation analyses suggested that anemia was a significant mediator in the pathway between malaria infection and risk for gross motor, communication, and personal social development delays. The proportion of the total effect of malaria on the risk of developmental delay that is mediated by anemia across the subscales was small (ranging from 9% of the effect on gross motor development to 16% of the effect on communication development mediated by anemia). Overall, malaria may be associated with short-term developmental delays during a vulnerable period of early life. Therefore, preventative malaria measures and immediate treatment are imperative for children's optimal development, particularly in light of projections of continued high malaria transmission in Kenya and Africa

Sickle Cell and α+-Thalassemia Traits Influence the Association between Ferritin and Hepcidin in Rural Kenyan Children Aged 14-26 Months.

BackgroundThe relation between subclinical hemoglobinopathies and concentrations of the iron-regulatory hormone hepcidin is not well characterized.ObjectiveWe investigated the relation of hepcidin concentration with hemoglobinopathies among young children in Kenya.MethodsWe quantified serum hepcidin and ferritin in 435 Kenyan children aged 14-20 mo in a subsample of the Water, Sanitation, and Handwashing (WASH) Benefits Trial. Blood samples were genotyped for α+-thalassemia and for sickle cell disorder. Hepcidin was compared across sickle cell and α+-thalassemia genotypes separately by using generalized linear models, and children who were normozygous for both conditions were also compared with those who had either of these conditions. In the association between hepcidin and ferritin, we assessed effect modification by genotype.ResultsIn this population, we found that 16.2% had sickle cell trait and 0.2% had sickle cell disorder, whereas 40.0% were heterozygous for α+-thalassemia and 8.2% were homozygous. Hepcidin concentration did not differ by genotype, but effect modification was found by genotype in the association between hepcidin and ferritin (P < 0.1). Among normozygous sickle cell children (HbAA), there was an association between hepcidin and ferritin (β = 0.92; 95% CI: 0.72, 1.10). However, among those with sickle cell trait (HbAS), the association was no longer significant (β = 0.31; 95% CI: -0.04, 0.66). Similarly, among children who were normozygous (αα/αα) or heterozygous (-α/αα) for α+-thalassemia, hepcidin and ferritin were significantly associated [β = 0.94 (95% CI: 0.68, 1.20) and β = 0.77 (95% CI: 0.51, 1.03), respectively]; however, in children who were homozygous for α+-thalassemia (-α/-α), there was no longer a significant association (β = 0.45; 95% CI: -0.10, 1.00).ConclusionHepcidin was not associated with hemoglobin genotype, but there may be a difference in the way hepcidin responds to iron status among those with either sickle cell trait or homozygous α+-thalassemia in young Kenyan children. This trial was registered at clinicaltrials.gov as NCT01704105