Comparative Toxicity of Two Isolates of Bacillus thuringiensis Berliner from Plutella xylostella L. and Papilio demoleus L. to some Important Lepidopteran Pests of Horticultural Crops

Toxicity of two isolates of Bacillus thuringiensis viz. KPx-1 and IPd-1 isolated from diamondback moth, Plutella xylostella (Lepidoptera: Yponomeutidae), and citrus butterfly, Papilio demoleus (Lepidoptera: Papilionidae), were tested against cabbage leaf webber, Crocidolomia binotalis, hairy caterpillar, Diacrisia obliqua and tomato fruit borer, Helicoverpa armigera. Among these, C. binotalis was highly susceptible (28.4 and 26.0 ng/cm2, for KPx-1 and IPd-1, respectively), while, H. armigera was the least susceptible (9.5 and 10.0 μg/ml, for KPx-1 and IPd-1, respectively)

On δ-open sets in ideal nano topological spaces

We introduce the notions of δ-open sets in ideal nano topological spaces and investigate some of their properties

Convolutional Gated Recurrent Neural Network Based Automatic Detection and Classification of Brain Tumor using Magnetic Resonance Imaging

Magnetic Resonance Imaging (MRI) might be a problematic assignment for tumor fluctuation and complexity because of brain image classification. This work presents the brain tumor classification system using Convolutional Gated Recurrent Neural Network (CGRNN) algorithm based on MRI images. The proposed tumor recognition framework comprises of four stages, to be specific preprocessing, feature extraction, segmentation and classification. Extraction of identified tumor framework features was accomplished utilizing Gray Level Co-occurrence Matrix (GLCM) strategy. At long last, the Convolutional Gated Recurrent Neural Network Classifier has been created to perceive various kinds of brain disease. The proposed framework can be effective in grouping these models and reacting to any variation from the abnormality. The entire framework is isolated into different types of phases: the Learning/Training Phase and the Recognition/Test Phase. A CGRNN classifier under the scholarly ideal separation measurements is utilized to decide the chance of every pixel having a place with the foreground (tumor) and the background. MATLAB software is used in the development of the simulation of the proposed system. The suggested method's simulation results show that the analysis of brain tumours is stable. It shows that the proposed brain tumor classifications are superior to those from brain MRIs than existing brain tumor classifications. The overall accuracy of the proposed system is 98.45%

Seasonal variations of physico-chemical properties of the Great Vedaranyam Swamp, Point Calimere Wildlife Sanctuary, South-east coast of India

The present study was attempted on the physico-chemical variability of the Great Vedaranyam Swamp of the Point Calimere Wildlife Sanctuary, South-east coast of India. Seasonal variation study was carried out to examine level of varying physico-chemical parameters such as temperature, salinity, pH, dissolved oxygen, nitrate, nitrite, electrical conductivity, phosphate, turbidity, total dissolved solids and water depth. The physico-chemical parameters have exhibited considerable seasonal and spatial variations. The qualitative study revealed the present status of the physico-chemical parameters, which would be very helpful for policy makers to take precautionary measures to save the swamp.Key words: Seasonal variations, physico-chemical parameters, Point Calimere Wildlife Sanctuary, pH, salinity, temperature

Emerging Infectious Diseases, Antimicrobial Resistance and Millennium Development Goals: Resolving the Challenges through One Health

Most emerging infectious diseases are zoonoses, which could severely hamper reaching the targets of millennium development goals (MDG). Five out of the total eight MDG’s are strongly associated with the Emerging Infectious Diseases (EIDs). Recent emergence and dissemination of drug-resistant pathogens has accelerated and prevent reaching the targets of MDG, with shrinking of therapeutic arsenal, mostly due to antimicrobial resistance (AMR). World Health Organization (WHO has identified AMR as 1 of the 3 greatest threats to global health.Until now, methicillin-resistant staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE) have been observed in hospital-acquired infections. In India, within a span of three years, New Delhi metallo-?-lactamase prevalence has risen from three percent in hospitals to twenty- fifty percent and is found to be colistin resistant as well. Routine use of antimicrobials in animal husbandry accounts for more than 50% in tonnage of all antimicrobial production to promote growth and prophylaxis. This has consequences to human health and environmental contamination with a profound impact on the environmental microbiome, resulting in resistance. Antibiotic development is now considered a global health crisis. The average time required to receive regulatory approval is 7.2 years. Moreover, the clinical approval success is only 16%. To overcome resistance in antimicrobials, intersectoral partnerships among medical, veterinary, and environmental disciplines, with specific epidemiological, diagnostic, and therapeutic approaches are needed. Joint efforts under “One Health”, beyond individual professional boundaries are required to stop antimicrobial resistance against zoonoses (EID) and reach the MDG

NEW SEPARATION AXIOMS IN

In this paper, we represents few separation axioms ar

Nanoindentation studies on waveguides inscribed in chalcogenide glasses using ultrafast laser

Optical straight waveguides are inscribed in GeGaS and GeGaSSb glasses using a high repetition-rate sub-picosecond laser. The mechanical properties of the glasses in the inscribed regions, which have undergone photo induced changes, have been evaluated by using the nanoindentation technique. Results show that the hardness and elastic modulus of the photo-modified glasses are significantly lower as compared to the other locations in the waveguide, which tend to be similar to those of the unexposed areas. The observed mechanical effects are found to correlate well with the optical properties of the waveguides. Further, based on the results, the minimum threshold values of hardness and elastic modulus for the particular propagation mode of the waveguide (single or multi), has been established

Analysis of Finite Population Stochastic modeling with State-Dependent Arrival and Service Facilities

This paper investigates a stock-dependent arrival process(SDAP) and queue-dependent service process(QDSP) in the stochastic queueing-inventory system(SQIS). The arriving units in the system are generated from the finite source population. The arrival process holds the properties of a quasi-random process and its intensity rate is defined based on the two-component demand rate(TCDR). The customer's departure time is exponentially distributed. The concepts of non-SDAP and SDAP, non-QDSP, and QDSP are to be generalized. The inventory system may have the perishable quality of the products. It adopts the $(s, Q)$ reordering policy whenever replenishment is required. Further, the joint probability distribution of a Markov process is derived and necessary system performance measures are computed. The comparative discussion is presented to improve the quality of this model