Relationship Between Knowledge Level and Characteristics of Pulses Seed Growers

The study was undertaken to study the relationship between knowledge level and profile characteristics of pulses seed growers. A sample of 90 pulses seed growing farmers was selected from 3 blocks of Coimbatore district in Tamil Nadu. The blocks were Kinathukadavu, Thondamuthur and Karamadai. For the study 30 farmers from each of the three blocks, where the highest number of farmers cultivating pulses for seed production were selected by employing simple random sampling technique in each block. Collection of data was done with the help of semi structured interview schedule. The study revealed that experience in seed production, social participation, urban contact and information seeking behaviour would increase the knowledge level of seed growers. The variables experience in seed production was contributing more than 75 per cent of the variation inthe knowledge level.

Theories and Principles of Theology in the Kuruntokai

The Kuruntokai of the ancient Tamil deities worshipped by Murugan, Surthaivam, Korravai, Kollipaavai and others is known from the Kuruntokai. The Velan fanaticism is found in the Sangam literature. This study is conducted in a way that explains the principles of theology found in the Sangam literature. The story of the Velan rampage, the worship of Korravai, the surat worship and the dance of women in the short story has explained this article

Emergence of quasi-one-dimensional physics in Mo3_3S7_7(dmit)3_3, a nearly-isotropic three-dimensional molecular crystal

We report density functional theory calculations for Mo$_3$S$_7$(dmit)$_3$. We derive an ab initio tight-binding model from overlaps of Wannier orbitals; finding a layered model with interlayer hopping terms $\sim3/4$ the size of the in-plane terms. The in-plane Hamiltonian interpolates the kagom\'e and honeycomb lattices. It supports states localized to dodecahedral rings within the plane, which populate one-dimensional (1D) bands and lead to a quasi-1D spin-one model on a layered honeycomb lattice once interactions are included. Two lines of Dirac cones also cross the Fermi energy.Comment: 5 pages, 3 figure

Using Gut Microbiome as A Tool in Dietary Intervention for Prevention and Management of Obesity

The gut microbiome has trillions of bacteria which play an important role in human health and disease. Several animal and human studies have shown that dysbiosis, microbial imbalance as the causative factor in obesity and metabolic syndrome. Significant research evidence demonstrates that changes in the proportion of Bacteroidetes and Firmicutes has been associated with obesity, but this has been recently challenged. Similar studies were carried out in several populations, however, there are no such studies, to date, among Asian Indians. We aimed to examine the usefulness of gut microbiome testing in developing personalized diet for managing obesity. In this study, we selected individuals, generally healthy, free- living adults, both men and women with BMI 25- 40 kg/m2 and with previous history of failures at weight loss who visited a Weight Loss Clinic, based in Coimbatore, India & were offered a gut microbiome test. We included 54 individuals in the intervention group who received personalized dietary advice for weight loss based on the gut microbiome test and another set of 52 individuals visiting the same clinic were included in the comparison group based on their age, height, weight and BMI who received generic diet. A statistically significant increase in the Bacteroidetes genus was observed in the personalized nutrition group (p = .04). The change (delta) values in gut microbiome composition in personalized nutrition group were significantly higher at the end of 120 days. Gut microbiome-based personalized microbiome modulation through diet significantly improves gut microbiome profiles among obese individuals.  We would further need studies with larger sample size to validate these study findings and long-term follow-up are needed

Influence of spin fluctuations near the Mott transition: a DMFT study

Dynamics of magnetic moments near the Mott metal-insulator transition is investigated by a combined slave-rotor and Dynamical Mean-Field Theory solution of the Hubbard model with additional fully-frustrated random Heisenberg couplings. In the paramagnetic Mott state, the spinon decomposition allows to generate a Sachdev-Ye spin liquid in place of the collection of independent local moments that typically occurs in the absence of magnetic correlations. Cooling down into the spin-liquid phase, the onset of deviations from pure Curie behavior in the spin susceptibility is found to be correlated to the temperature scale at which the Mott transition lines experience a marked bending. We also demonstrate a weakening of the effective exchange energy upon approaching the Mott boundary from the Heisenberg limit, due to quantum fluctuations associated to zero and doubly occupied sites.Comment: 6 pages, 3 figures. V3 was largely expande

A review of nutritional factors in hypertension management.

Hypertension is a major health problem worldwide. Its attendant morbidity and mortality complications have a great impact on patient\u27s quality of life and survival. Optimizing blood pressure control has been shown to improve overall health outcomes. In addition to pharmacological therapies, nonpharmacological approach such as dietary modification plays an important role in controlling blood pressure. Many dietary components such as sodium, potassium, calcium, and magnesium have been studied substantially in the past decades. While some of these nutrients have clear evidence for their recommendation, some remain controversial and are still of ongoing study. Dietary modification is often discussed with patients and can provide a great benefit in blood pressure regulation. As such, reviewing the current evidence will be very useful in guiding patients and their physician and/or dietician in decision making. In this review article of nutritional factors in hypertension management, we aim to examine the role of nutritional factors individually and as components of whole dietary patterns

Functional Predictions of Microbial Communities in Soil as Affected by Long‐term Tillage Practices

Core Ideas Microbial function is important but difficult to assess in soil. An omics‐driven tool, PICRUSt, was used to characterize functions of soil microbial communities. No‐tillage compared with plow tillage was functionally enriched for most nutrient cycles. Many other functions integral to soil health can be explored by the PICRUSt omics approach. Soil microbial communities affect the soil\u27s biological, chemical, and physical properties, but there is still a knowledge gap regarding the long‐term impact of tillage practices on soil microbial dynamics. Additionally, the accurate identification of belowground microbial functions is a topic of active interest. In this study, microbial community profiles and functions in soil from a 50‐plus‐year‐old experiment in Ohio, representing one of the world\u27s longest running comparisons of a plow‐tillage system and a continuous no‐tillage system, were compared. The Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) algorithm was used to predict associated functional traits from 16S rRNA gene sequences. Analysis of the sequences revealed a large number of unidentified operational taxonomic units (67%), which is consistent with expectations of the soil ecosystem. Next, we investigated gene and enzyme predictions for nitrogen, sulfur, and methane metabolism and hydrocarbon degradation in soil. Results indicated that no‐tillage was functionally enriched for most nutrient cycles. This study has allowed us to predict distinct functional profiles as a result of legacy land uses. It serves as an example of improved analysis of the functional differences in soil managed by long‐term tillage versus no‐till

Bacterial community dissimilarity in soils is driven by long-termland-use practices

Land‐use practices impact soil microbial functionality and biodiversity, with reports suggesting that anthropogenic activities potentially result in reduced microbial functions and loss of species. The objective of this study was to assess the effect of long‐term (\u3e50 yr) land use (natural forest and grassland, and agricultural land) on soil bacterial community structure. A high‐throughput sequencing‐by‐synthesis approach of the 16S rRNA gene was used to study bacterial community and predicted functional profiles of Alfisols, as affected by variables including land‐use (forest, grass, agricultural) and soil/crop management (rotation and tillage) in long‐term experimental plots in Hoytville, OH. The distribution of the abundant phyla was different across samples. No‐till soils showed higher diversity indices than the plow‐till (PT) soils. Ordinations across locations suggested that no‐till soils had distinctly different community structure compared with plow‐till soils, while crop rotation within the no‐till plot had highest number of taxa. Overall land use (forest, grass, agronomic treatment) and tillage (within agricultural soils) were found to be significant when evaluating bacterial community dissimilarity. Predictive functional profiles showed that the forest soil had greatest proportion of PICRUSt‐assignable gene functions followed by the no‐till and grassland soils whereas plow‐till soils had the lowest predicted gene abundances across all samples. The results provide a view of soil bacterial diversity and predictive functional capacity in long‐term land‐use and soil/crop management practices, with a potential to inform future experiments to increase our understanding of long‐term impacts of land use on microbial community structure and function

An Intelligent Method for Predictive Monitoring of Patient Health Parameters using Data Mining Techniques

Now a day Internet of Things is suddenly increasing technology. IOT is the network of physical object or things embedded with software sensors, electronics and network connectivity. IOT is used to collect information and exchange data. In this paper, we are developing a system which will automatically monitor the industrial applications. IOT has given a powerful way to build industrial system by using wireless devices, and sensors. IOT concept is to monitor and control the industry. In phase I the hard ware was designed successfully using IOT. The input from sensor and data output can be displayed in the LCD (16*2).microcontroller (PIC16F887) which is used to collect data from sensors and displayed in LCD. The displayed data can be seen by server using IOT. The performances are verified experimentally using IOT. In Phase II the data from the server can be monitor through personal computer .The industrial data can be viewed through URL

Caudal regression syndrome: a rare case report

Caudal regression syndrome is a rare disorder characterised by abnormal development of structures in the caudal region of the embryo like lower lumbar and sacral vertebrae, urogenital and lower gastrointestinal system. It is secondary to abnormal development of mesoderm. Multiple hypotheses like genetic, metabolic and vascular hypoperfusion have been proposed as etiologies. It can be picked up in early second trimester by ultrasound. It has a higher incidence in diabetic pregnancies