Evidence-based insecticide resistance in South American tomato leaf miner, Phthorimaea absoluta (Meyrick) under laboratory selection.

The South American tomato moth, Phthorimaea absoluta (Meyrick), is one of the key pests of tomato in India. Since its report in 2014, chemical control has been the main means of tackling this pest, both in the open field and protected cultivation. Despite regular insecticidal sprays, many outbreaks were reported from major tomato-growing regions of South India during 2019-2020. A study was conducted to investigate the effect of insecticide resistance on biology, biochemical enzymes, and gene expression in various P. absoluta field populations viz., Bangalore, Kolar, Madurai, Salem, and Anantapur to commonly used insecticides such as flubendiamide, cyantraniliprole, and indoxacarb. Increased levels of insecticide resistance ratios (RR) were recorded in P. absoluta populations of different locations. A significant increase in cytochrome P450 monooxygenase (CYP/MFO) and esterase levels was noticed in the resistant population compared to susceptible one. Through molecular studies, we identified four new CYP genes viz., CYP248f (flubendiamide), CYP272c, CYP724c (cyantraniliprole), and CYP648i (indoxacarb). The expression levels of these genes significantly increased as the folds of resistance increased from G1 to G20 (generation), indicating involvement of the identified genes in insecticide resistance development in P. absoluta. In addition, the resistant populations showed decreased fecundity, increased larval development period, and adult longevity, resulting in more crop damage. The information generated in the present study thus helps in understanding the development of insecticide resistance by P. absoluta and suggests the farmers and researchers to use insecticides wisely by adopting insecticide resistance management as a strategy under integrated pest management.

Insecticidal properties of Ocimum basilicum and Mentha piperita essential oils against South American Tomato moth, Phthorimaea absoluta (Meyrick) (Lepidoptera: Gelichiidae).

Phthorimaea absoluta (Meyrick) is one of the most destructive pests of tomato, causing 100% yield loss in the absence of control measures. The important method of managing the pest is by using synthetic insecticides. However, intermittent and indiscriminate uses of certain insecticides have negative effect on the environment. Use of herbal insecticides such as secondary metabolites and essential oils is a key for sustainable long term crop protection. Investigation on the insecticidal properties of Ocimum basilicum, Mentha piperita essential oils (EOs) and their constituents was carried out against P. absoluta. The M. piperita EO showed highest mortality (100%) of P. absoluta with LC50 1.78 µl/ml due to alloaromadendrene (27.99%), levomenthol (18.31%) and santolina triene (9.78%). The O. basilicum EO also had significant mortality (90%) effect with LC50 3.58 µl/ml due to humulene (32.31%), alpha farnesense (27.22%), estragole (19.24%) and 4-cerene (10.61%). Among binary compounds, levomenthol showed highest mortality (100%) having LC50 13.18 µl/ml followed by alpha-pinene (100%) with LC50 16.10 µl/ml, 4-cerene (95%) with LC50 38.20 µl/ml and alpha-phellandrene (90%) having LC50 46.83 µl/ml. The observed toxicity in all compounds was due to significant changes in the activity of esterases, glutathione S-transferase and acetylcholine esterases over the time. The present study suggests that O. basilium and M. piperita EOs would provide an additional approach for the management of P. absoluta over synthetic insecticides.

Prediction of the Age and Gender Based on Human Face Images Based on Deep Learning Algorithm.

In recent times, nutrition recommendation system has gained increasing attention due to their need for healthy living. Current studies on the food domain deal with a recommendation system that focuses on independent users and their health problems but lack nutritional advice to individual users. The proposed system is developed to suggest nutritional food to people based on age and gender predicted from their face image. The designed methodology preprocesses the input image before performing feature extraction using the deep convolution neural network (DCNN) strategy. This network extracts D-dimensional characteristics from the source face image, followed by the feature selection strategy. The face's distinctive and identifiable traits are chosen utilizing a hybrid particle swarm optimization (HPSO) technique. Support vector machine (SVM) is used to classify a person's age and gender. The nutrition recommendation system relies on the age and gender classes. The proposed system is evaluated using classification rate, precision, and recall using Adience dataset and UTKface dataset, and real-world images exhibit excellent performance by achieving good prediction results and computation time.

Moth-Flame Optimization for Early Prediction of Heart Diseases.

Heart disease is among the leading causes of mortality globally. Predicting cardiovascular disease is a major difficulty in clinical data analysis. AI has been demonstrated to be powerful in deciding and anticipating an enormous measure of information created by the health domain. We provide a unique method for finding essential traits employing machine learning approaches in this paper, which enhances the effectiveness of identifying heart diseases. Decision tree (DT), support vector machine (SVM), artificial neural network (ANN), and K-nearest neighbor (KNN) are the classification techniques used to create the proposed system. Ensemble stacking integrates the four classification models to create a single best-fit predictive model using logistic regression. Many explorations have been directed at the identification of cardiac infection; however, the exactness of the outcomes is poor. Accordingly, to further enhance the efficiency, Moth-Flame Optimization (MFO) algorithm is proposed. The feature selection strategies are used to improve the classification accuracy while shortening the execution time of the classification system. Medical data are used to assess the probability of heart disease based on BP, age, gender, chest ache, cholesterol, blood sugar, and other variables. Results revealed that the proposed system excelled other existing models, obtaining 99% accuracy in the Cleveland dataset.

Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu-A Case Study.

This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials. Selection of the wrong location may lead to lose both health and wealth. In this paper, location selection is modelled as a decision-making problem. The paper uses fuzzy analytic hierarchy process (AHP) technique to generate the criteria weights, monkey search algorithm to optimize the weights, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the different locations. To illustrate the applicability of the proposed technique, a state named Tamil Nadu, located in India, is taken for a case study. The proposed structured algorithmic steps were applied for the input data obtained from the government of India website, and the results were analyzed and validated using the government of India website. The ranks assigned by the proposed technique to different locations are in aligning with the number of patients and death rate.

Study of Crystallographic Texture Evolution during High-Temperature Deformation of 18Cr-ODS Ferritic Steel based on Plasticity Assessment.

This paper aims at understanding the texture evolution in extruded oxide dispersion strengthened 18Cr ferritic steel during high-temperature uniaxial compression testing at 1,423 K at a strain rate of 0.01/s based on extensive electron back scatter diffraction characterization. The α-fiber texture is observed along the extrusion direction (ED) in the initial microstructure. The flow curves generated during uniaxial compression test are used to determine the associated hardening parameters. In addition, the degree of texture evolution after deformation along the ED and the transverse direction (TD) with respect to the initial condition has been predicted using VPSC-5 constitutive model. The prediction shows that the deformation along the ED produces a dominant γ-fiber texture in contrast to the TD. This is in agreement with the experimental results where γ-fiber texture is observed, due to enhanced dynamic recrystallization at high-temperature deformation.

Estimation of martensite feature size in a low-carbon alloy steel by microtexture analysis of boundaries.

A methodology for classifying the hierarchy of martensite boundaries from the EBSD microtexture data of low-carbon steel is presented. Quaternion algebra has been used to calculate the ideal misorientation between product α variants for Kurdjumov-Sachs (KS) and its nearby orientation relationships, and arrive at the misorientation angle-axis set corresponding to packet (12 types), block (3 types) and sub-block boundaries. Analysis of proximity of experimental misorientation between data points from the theoretical misorientation set is found to be useful for identifying the different types of martensite boundaries. The optimal OR in the alloy system and the critical deviation threshold for identification of martensite boundaries could both be ascertained by invoking the 'Enhancement Factor' concept. The prior-γ grain boundaries, packet, block and sub-block boundaries could be identified reasonably well, and their average intercept lengths in a typical tempered martensite microstructure of 9Cr-1Mo-0.1C steel was estimated as 31 µm, 14 µm, 9 µm and 4 µm respectively.

Evaluation of misindexing of EBSD patterns in a ferritic steel.

The systematic misindexing caused by pseudo-symmetry Kikuchi diffraction patterns in automated Electron Backscatter Diffraction analysis has been studied in a 9Cr-1Mo ferritic steel. Grains with its [1 1 1] directed towards detector centre were found to be prone to misindexing, and the solutions exhibit a relative orientation of ±30° and 60° about the common [1 1 1] axis (as compared to the true orientation). Fictitious boundaries were detected within such grains, which satisfy the Σ3 or Σ13b type coincidence site lattice boundary criteria. Misindexing rate was reduced with more than six detected bands, but 30° rotated solution was comparatively more persistent, as the additional bands of (3 1 0)-type exhibited a nearly good pattern match. Increase in detector collection angle to 0.96 sr or number of detected bands to nine were found to be beneficial in preventing the misindexing problem.

Protective potential [correction of potencial] of Euphorbia hirta against cytotoxicity induced in hepatocytes and a HepG2 cell line.

Medicinal plants play a key role in human health care. Frustration over the side effects of allopathic drugs has driven the medical world to take asylum in the plant kingdom for the treatment of various ailments. Euphorbia hirta belonging to the family of Euphorbiacae has been reported to possess antibacterial, antiviral, and anticancer activity. The aim of the present study was to investigate the protective effect of E. hirta against antitubercular drug-induced cytotoxicity in freshly isolated hepatocytes. The extent of cytotoxicity of the plant extracts was also analyzed using human liver derived HepG2 cell line by estimating the viability of cells (MTT assay). The alcoholic plant extract normalized the levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), triacylglycerol (TAG), cholesterol, total protein, albumin, total and direct bilirubin, which were altered due to antitubercular drug intoxication. A dose-dependent increase in percent viability was observed when antitubercular drug exposed HepG2 cells were treated with different concentrations of plant extracts (125, 250, 500 and 1000 microg/mL) which were compared with a standard hepatoprotective drug silymarin. The highest percentage viability of HepG2 was observed at a concentration of 1000 microg/mL. The results suggest that E. hirta exerts protection against antitubercular drug-induced cytotoxicity in this vitro model system.

Synthesis and characterization of nanocrystalline Ti(1-x)Al(x)N by reactive magnetron sputtering.

Ti(1-x)Al(x)N metastable films were synthesized by reactive magnetron co-sputtering with different Ti to Al ratios. XRD studies showed that as-deposited films were crystalline for concentrations of Al (35, 40, 55 and 64%) and become amorphous at 81% Al. These films were annealed at 1073 K to study the phase separation. Films up to 55% Al did not show any phase separation after annealing. But films with 64% Al splits into c-TiAIN and c-AIN, whereas films with 81% Al split into cubic-TiN and hex-AIN. Distribution of crystallites and their size were analyzed by TEM. High density of crystallites with dimensions between 3-11 nm was dispersed in amorphous matrix for 64% Al films. Nanoindentation technique was used to determine the mechanical properties of these films without substrate effect. Maximum hardness obtained for as deposited and annealed films (64% Al) were 35 GPa and 38 GPa, respectively.

Hair apposition technique for scalp laceration repair: a randomized controlled trial comparing physicians and nurses (HAT 2 study).

OBJECTIVES: The hair apposition technique (HAT) is a new method of closing scalp lacerations in which hairs on either side of the wound are twisted together and secured with a tissue adhesive. We aimed to compare the effectiveness, complications, and benefits of HAT performed by nurses or doctors in a randomized, prospective trial. METHODS: We conducted the study in the ED from November 2002 to February 2005. Subjects were randomized to receive HAT either by doctors or nurses. All wounds were evaluated 7 days later. The outcomes wound infection, wound healing, bleeding, and overall complications were measured, setting +/-5% in the differences of the outcomes between the doctors and nurses as equivalence. RESULTS: There were 88 and 76 patients in the doctor and nurse groups, respectively. There were no significant differences in all short-term outcomes between the doctors and nurses except for length of the procedure. The doctors had a shorter mean duration of procedure than the nurses (9.0 +/- 5.6 vs 12.8 +/- 7.5 minutes, P = .001). CONCLUSION: The HAT can be safely performed by trained nurses with equivalent outcomes as doctors.

Melioidosis in wallabies.

This paper records 2 fatal cases of melioidosis in wallabies from Australia maintained in the Botanical Gardens, Penang, for about 3 months. The nature of lesions described is different from that described by various workers.