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The genus Spilomena Shuckard, 1838, is reviewed from the Indian subcontinent. One new species, Spilomena keralaensis Rajan, Sureshan & Girish Kumar sp. nov. is described from the Southern Western Ghats of Kerala and differences from similar species are given.

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The crabronid wasp, Solierella turneri Dutt, 1917 (Hymenoptera: Crabronidae) is newly recorded from various regions of India and female is described. Hitherto, the S. turneri Dutt has been only reported from northern India (Pusa of Bihar), the current record extends its range to southern India (Kerala, Tamil Nadu and Karnataka).

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Aims: It is vital to examine nurses' disaster management capacity to determine their readiness levels, particularly in a Hilla where disasters are common. This study aimed to assess healthcare providers of their knowledge and preparedness for disaster management.
Instrument & Methods: This descriptive-cross-sectional study was conducted from June to October 2021, to investigate the knowledge preparedness of nurses for disaster management in primary healthcare clinics. The instruments were constructed by the researcher to fulfill the study's goals using non-probability sampling. The purposive sample was chosen from 200 people who worked in emergency departments of primary health care institutions, and data was collected using two study tools (questionnaire and demographic data). The instrument's reliability was confirmed by test and retest, and the instrument's validity was determined by a panel of specialists. Graphic information (frequency, percentages, arithmetic mean, and standard deviation), as well as illative information, were employed to interpret the data (sufficiency in a relative).
Findings: In terms of gender, most of the participants were male, 31-41 years old, married, and had no prior experience of a real disaster. The subjects had a strong knowledge of all studied items. The overall assessment of the preparedness of Nurses' compliance in disaster management was high.
Conclusion: The majority of nurses had a strong awareness of disaster preparedness.
 

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This study aimed to assess the insecticidal properties from leaf extracts of Chromolaena odorata L. and Leonotis nepetifolia (L) R.Br. on the third instar larvae of tobacco leaf-eating Spodoptera litura (F.). Leaves of both plant species were extracted with three solvents, acetone, methanol, and water, then tested for ovicidal, antifeedant, and larvicidal activity at 0.5, 1, 2.5, 5, and 7%. The methanol extract (5%) of C. odorata was found more active for ovicidal (73.33 ± 0.57%), antifeedant (82.45 ± 0.16%), and larvicidal (68.33 ± 0.05%) activities against S. litura. Similar results were noted from methanol extract (5%) of L. nepetifolia for ovicidal (71.33 ± 0.41%), antifeedant (71.77 ± 0.73%), and larvicidal (73.33 ± 0.08) activities. Phytochemical screening revealed a significant amount of alkaloids and phenolics in methanolic leaf extracts of both plants. Besides, thirty-one bioactive compounds from the methanolic extract of C. odorata and sixteen compounds from L. nepetifolia were identified by GC-MS analysis. The recorded compounds are phenols, fatty acids, esters, and essential oils with insecticidal properties. The insecticidal compounds detected from GC-MS and quantitative phytochemical analysis might be attributed to the high insecticidal potential (Ovicidal, antifeedant and larvicidal) of C. odorata and L. nepetifolia. Therefore extensive research on C. odorata and L. nepetifolia is needed in phytopesticide development against Spodoptera litura.


 

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Abstract- In this paper, it is shown how to use the recently developed Firefly Algorithm to optimize abrasive water-jet cutting as a nonlinear multi-parameter process. Back propagation neural network were developed to predict surface roughness in abrasive water-jet cutting (AWJ) process. In the development of predictive models, machining parameters of traverse speed, water-jet pressure, standoff distance and abrasive flow rate were considered as model variables. Firefly Algorithm by using back propagation neural network optimizes glass surface roughness in abrasive water-jet cutting and proposes appropriate parameters for minimum surface roughness. Testing results demonstrate that the model is suitable for predicting the response parameters. However this algorithm has not be tested for practical problems, the results showed this algorithm applicable for processes with complex nature.

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The green peach aphid, Myzus persicae is a polyphagous herbivore, attacking apiaceae plants which are rich in defensive secondary metabolites. Thus, M. persicae owns a protective antioxidative response to overcome the host defense. The aim of the present study was to investigate the adaptive antioxidative response of M. persicae against the secondary metabolites of cumin, anise, and coriander. The dietary antioxidants, ascorbic acid and glutathione and enzymatic antioxidants, superoxide dismutase, catalase, ascorbate peroxidase and glutathione peroxidase within tissues of M. persicae were measured every two weeks during the infestation season. The obtained results show that Anise could be a good recommended host in the beginning of the infestation season because it confers escalading levels of ascorbic acid. Coriander and cumin could be a second choice. The variable levels of enzymatic antioxidants during the season indicate the adaptive responses of M. persicae against the plant defensive secondary metabolites.