Two different zinc(II)-aqua complexes held up by a metal-oxide based support: synthesis, crystal structure and catalytic activity of [HMTAH]<SUB>2</SUB>[{Zn(H<SUB>2</SUB>O)<SUB>5</SUB>}{Zn(H<SUB>2</SUB>O)<SUB>4</SUB>}{Mo<SUB>7</SUB>O<SUB>24</SUB>}]&#183;2H<SUB>2</SUB>O (HMTAH = protonated hexamethylenetetramine)

An inorganic-organic hybrid material, [HMTAH]2[{Zn(H2O)5}{Zn(H2O)4}{Mo7O24}]&#183;2H2O (1) (where HMTAH = protonated hxamethylenetetramine) has been synthesized and structurally characterized. The compound 1 crystallizes in a monoclinic space group C2/c. The crystal data of 1: &#945; = 43&#183;12(3), b = 12&#183;399(10), c = 16&#183;285(13), &#946; = 111&#183;131(11), Z = 8. Its crystal structure shows that two different Zn(II)-aqua complexes, [Zn(H2O)5]2+ and [Zn(H2O)4]2+ are covalently coordinated to a heptamolybdate anion [Mo7O24]6- resulting in an anionic species of polyoxometalate supported zinc-aqua complexes, [{Zn(H2O)5}{Zn(H2O)4}{Mo7O24}]2-, that is stabilized with two protonated hexamethylenetetramine cations in the title compound 1. In the crystal structure, both lattice water molecules are found to interact with the heptamolybdate cluster anion and the protonated hexamethylenetetramine cation resulting in an intricate three-dimensional hydrogen bonding network. Interestingly, compound 1 exhibits catalytic activity towards oxidation of some primary alcohols

Fixation and recovery of added phosphorus and potassium in different soil types of pulse-growing regions of India

Fixation and recovery of added phosphorus (P) and potassium (K) were studied in different soil types of pulse-growing regions. Amounts of P and K fixed increased in all the soils irrespective of type and texture. With the increase in levels of added P and K, maximum P fixation was observed at lower levels of added P (50 mg kg-1). Alfisols showed maximum P-fixation capacity (92.7%), followed by Vertisols (86.5%) and Inceptisols (76.6%) at 50 mg kg-1 added P. However, K fixation increased with increasing levels of added K up to 200 mg kg-1, and thereafter fixation either decreased or was maintained at similar levels. Vertisols showed higher K fixation than Inceptisols and Alfisols. Fertilizer P requirement per unit increase in available P in soil was highest in Bangalore (3.23) and lowest in Delhi (2.38). Fertilizer K requirement per unit increase in available K in soil was highest in Raipur and Gulbarga (1.75) and lowest in Ranchi (1.28)

MobileNetV2-based Transfer Learning Model with Edge Computing for Automatic Fabric Defect Detection

In textile manufacturing, fabric defect detection is an essential quality control step and a challenging task. Earlier, manual efforts were applied to detect defects in fabric production. Human exhaustion, time consumption, and lack of concentration are the main problems in the manual defect detection process. Machine vision systems based on deep learning play a vital role in the Industrial Internet of things (IIoT) and fully automated production processes. Deep learning centered on Convolution Neural Network (CNN) models have been commonly used in fabric defect detection, but most of these models require high computing resources. This work presents a lightweight MobileNetV2-based Transfer Learning model to assist defect detection with low power consumption, low latency, easy upgrade, more efficiency, and an automatic visual inspection system with edge computing. Firstly, different image transformation techniques were performed as data augmentation on four fabric datasets for the model's adaptability in various fabrics. Secondly, fine-tuning hyperparameters of the MobileNetV2 with transfer learning gives a lightweight, adaptable and scalable model that suits the resource-constrained edge device. Finally, deploy the trained model to the NVIDIA Jetson Nano-kit edge device to make its detection faster. We assessed the model based on its accuracy, sensitivity rate, specificity rate, and F1 measure. The numerical simulation reveals that the model accuracy is 96.52%, precision is 96.52%, recall is 96.75%, and F1-Score is 96.52%

Targeting the D-series resolvin receptor system for the treatment of osteoarthritic pain

Objective: Pain is a major symptom of osteoarthritis (OA); current analgesics either do not offer adequate pain relief or are associated with serious side effects. Herein we have investigated the therapeutic potential of targeting the resolvin receptor system to modify OA pain and pathology. Methods: Gene expression of two resolvin receptors (ALX and ChemR23) was quantified in synovia and medial tibial plateau collected from patients at joint replacement for OA. Two models of OA joint pain were used for mechanistic studies. Gene expression in the periphery and CNS were quantified. Effects of exogenous administration of the D-series resolvin precursor 17(R)-hydroxy Docosahexaenoic Acid (17(R)-HDoHE on pain behaviour, joint pathology, spinal microglia and astroglyosis were quantified. Plasma levels of relevant lipids, resolvin D2, 17R-HDoHE and arachidonic acid was determined in rats using LC-MS-MS. Results: There was a positive correlation between resolvin receptor and IL6 expression in human OA synovia and medial tibial plateau. In the rat, synovia gene expression of ALX was positively correlated with IL1β, TNFα and COX2. Treatment with 17(R)-HDoHE reversed established pain behaviour in two models of OA pain, but not joint pathology. This was associated with a significant elevation in plasma levels of resolvin D2 and a significant reduction in astrogliosis in the spinal cord in the MIA model. Conclusion: Our preclinical data demonstrate robust analgesics effects of activating the D series resolvin pathways in two different animal models of OA. Our data support a predominant central mechanism of action in this clinically relevant model of OA pain

Association of the resolvin precursor 17-HDHA, but not D- or E- series resolvins, with heat pain sensitivity and osteoarthritis pain in humans

Resolvins are omega-3 fatty acid derived potent bioactive lipids that resolve inflammation and modulate transient receptor potential channels. Exogenous administration of the resolvin precursor 17-HDHA shows a strong analgesic effect in animal models of osteoarthritis and acute inflammatory pain, but has not been studied in humans. Our aim was to assess the role of 17-HDHA and resolvins in heat pain sensitivity and in osteoarthritis pain in humans. Resolvins D1, D2, D3, D5, E1 and 17-HDHA, were measured by liquid chromatography-mass spectrometry and tested for association with heat pain thresholds in 250 healthy volunteers who had undergone quantitative sensory testing. Resolvins D1, D2 and 17-HDHA were then tested in 62 individuals affected with knee osteoarthritis and 52 age matched controls and tested for association with knee pain. Circulating levels of docosahexaenoic acid (DHA) were also measured. Levels of 17-HDHA, but not those of the other 5 resolvins tested, were associated with increased heat pain thresholds (beta = 0.075; 95%CI 0.024, 0.126; p<0.0046). 17-DHDA was associated with lower pain scores in OA patients (beta -0.41; 95%CI-0.69, -0.12; p<0.005; adjusted for covariates) but not with osteoarthritis. The associations of 17-HDHA associations with heat pain sensitivity and osteoarthritis pain were independent of DHA levels

THIRTY FIVE YEARS OF OPERATIONAL RESEARCH PROJECT FOR DRYLAND AGRICULTURE : ACHIEVEMENTS AND IMPACTS (1976 to 2012)

Not AvailableAgriculture is the backbone of Indian economy and rainfed agro-ecosystem occupies an important place in Indian agriculture, covering 68 per cent of the cultivated area (96 m.ha) supporting 40 per cent human, 60 per cent livestock population and producing 44 per cent of the food requirements thus playing a pivotal role in India’s food security. Five out of ten Agro-Climatic Zones in Karnataka were classified as dry zones covering 63 per cent of the total geographical area and 71 per cent of the net sown area, with substantial contribution to agricultural production from dry lands. About 57 per cent of food grain production in Karnataka comes from rainfed areas while, 97 per cent of total pulses and 80 per cent oilseeds were produced in dry land areas. Research on dryland agriculture in the red soil regions of Karnataka was started in 1970 with the establishment of All India Coordinated Research Project for Dryland Agriculture (AICRPDA) at Gandhi Krishi Vignana Kendra (GKVK), Bangalore,Not Availabl

Performance analysis of distributed power flow controller with ultra-capacitor for regulating the frequency deviations in restructured power system

This paper presents a novel approach for automatic generation control (AGC) of two-area deregulated system with unequal sources for sustaining the frequency and tie-line power at perturbations. The combination of ultra-capacitor (UC) and various FACTS controllers such as Thyristor-controlled series capacitor (TCSC), Static synchronous series compensator (SSSC), Unified power flow controller (UPFC), and Distributed power flow controller (DPFC) have been investigated in AGC of interconnected system with thermal-wind and hydro-diesel generating units. An innovative metaheuristic method called bat algorithm (BA) is used to ascertain the optimal gain parameters of the two degree of freedom (2DOF) controllers using an integral squared error (ISE) criteria. Furthermore, the productive assessment of the bat tuned 2DOF controllers are also compared with teaching learning-based optimization (TLBO) and cuckoo search (CS) methods optimized 2DOF in distinct contract scenarios of the suggested restructured system. The effect of the coordinated performance of UC and DPFC has been mitigated the oscillatory response of the AGC system at various operating circumstances. The investigations disclose that the bat optimized 2DOF-PID yield the productive outcomes with coordination of DPFC and UC in all contract transactions of the restructured system

Deficiency of 25-Hydroxyvitamin D and Dyslipidemia in Indian Subjects

Background. Vitamin D deficiency is widespread throughout the world. Several reports have incriminated vitamin D deficiency as the cause of rickets, osteomalacia, and other chronic diseases. Recent studies have suggested a possible link between deficiency of 25-hydroxyvitamin D and dyslipidemia. Aim. To investigate the association between 25-hydroxyvitamin D deficiency and dyslipidemia in Indian subjects. Methodology. We recruited 150 asymptomatic consecutive subjects from patients&apos; attendees at the Departments of Neurology and Medicine in Yashoda Hospital, Hyderabad, India. Study period was from October 2011 to March 2012. All subjects underwent 25-hydroxyvitamin D assay by chemiluminescent microparticle immunoassay, fasting blood sugar and lipid profile, calcium, phosphorus, alkaline phosphatase, and C-reactive protein (CRP). Results. Out of 150 subjects, men were 82 (54.6%), and mean age was 49.4 (±15.6) years. Among risk factors, hypertension was noted in 63/150 (42%), 25-hydroxyvitamin D deficiency in 59/150 (39.3%), diabetes in 45/150 (30%), dyslipidemia in 60 (40%), smoking in 35/150 (23.3%), and alcoholism in 27/150 (18%). Deficiency of 25-hydroxyvitamin D was significantly associated with dyslipidemia ( = 0.0001), mean serum glucose ( = 0.0002) mean CRP ( = 0.04), and mean alkaline phosphatase ( = 0.01). Multivariate analysis showed that 25-hydroxyvitamin D deficiency was independently associated with dyslipidemia (odds ratio: 1.9; 95% CI : 1.1-3.5). Conclusions. We found that deficiency of 25-hydroxyvitamin D was independently associated with dyslipidemia in Indian subjects