Bi-level optimization based on fuzzy if-then rule

A bi-level programming problem has been developed where the functional relationship linking decision variables and the objective functions of leader and follower are not utterly well known to us. Because of the uncertainty in practical life decision-making situation most of the time it is inconvenient to find the veracious relationship between the objective functions of leader, follower and the decision variables. It is expected that the source of information which gives some command about the objective functions of leader and follower, is composed by a block of fuzzy if-then rules. In order to analyze the model, A dynamic programming approach with a suitable fuzzy reasoning scheme is applied to calculate the deterministic functional relationship linking the decision variables and the objective functions of leader as well as follower. Thus a bi-level programming problem is constructed from the actual fuzzy rule-based to the conventional bi-level programming problem. To solve the final problem, we use the lingo software to find the optimal of objective function of follower first and using its solution we optimize the objective function of leader. A numerical example has been solved to signify the computational procedure.</p

Mining bee Andrena (Agandrena) agilissima (Hymenoptera: Andrenidae): A new record from India with morphological and molecular notes

The mining bee Andrena agilissima (Scopoli, 1770), is recorded for the first time in India from the western agro-climatic zone of its Punjab state. This is the first account of morphological and molecular characteristics of A. agilissima. This new record now increases the number of mining bees known in India to 21. Taxonomic commentsand metric values of 40 morphological characters have been presented. The mean values for body length, head width, compound eye length, median ocellus diameter, forewing length and hamuli number were 14.04±0.04 mm, 4.26±0.003 mm, 2.327±0.008 mm, 0.255±0.005 mm, 12.75±0.022 mm and 17.00±0.00, respectively. Using thestandard barcoding protocols, cytochrome c oxidase subunit 1 marker (standard DNA barcode region) based 658 bp DNA barcode sequence of the species has been established, as a first step towards the DNA barcode library of solitary bees of Punjab. The barcode sequence generated for the species has been registered by Gen- Bank, National Centre for Biotechnology Information (NCBI) under accession ‘KT960836’ and Barcode of Life Data (BOLD) Systems under Barcode Index Number ‘BOLD:AAY6909’. The floral sources for A. agilissima in Punjab are also provided. The results can be used to further study the races/ecotypes in different parts of country, habitat management studies, plant-pollinator interactions and in conservation programmes for the species. Further, the precise identification of A. agilissima and the inventory of its foraging plants would provide new opportunities for its potential use as pollinator of crops

Analysis of the applicative potential of pigments extracted from bacterial isolates of mangrove soil as topical UV protectants

Antioxidant, antibacterial and UV protective activities of two pigments extracted from mangrove soil isolates were analysed for their applications as ingredients in sunscreen formulations. Through biochemical characterization, the isolates were tentatively identified as belonging to the&nbsp;Flavobacterium&nbsp;sp. and&nbsp;Brevibacterium&nbsp;sp. UV visible spectral characterization of the pigments indicated presence of carotenoids. The orange pigment exhibited Sun Protection factor (SPF) value of 5.3 while the yellow pigment SPF was found to be 2.60. Both isolates as well as their pigments revealed tolerance to UVA-B radiation and to UVC radiation, to comparatively lesser extent. Yellow pigment exhibited good antibacterial activity with maximum effect on&nbsp;Escherichia coli,&nbsp;Corynebacterium diptheriae&nbsp;and&nbsp;Staphylococcus aureus. Both pigments were capable of reducing DPPH radical with % DPPH inhibition of 52.36% (orange pigment) and 40.1% (yellow pigment). These findings suggest that both pigments show promise of making excellent natural components of cosmetic formulations, especially sunscreens

Lifetime cigarette smoking is associated with striatal volume measures

Nicotine, the primary addictive component of tobacco, affects the mammalian brain. Smokers’ brains have smaller cortical grey matter volumes and/or lower densities compared with non-smokers’. Differences in subcortical structures like the striatum are however, less clear. A high concentration of nicotinic receptors makes the striatum a potential target for nicotine. In addition, striatal nuclei are essential components of the reward/reinforcement pathway involved in addiction. The aim of this study was to explore the relationship between striatal nuclei (caudate, putamen and nucleus accumbens area) volumes and lifetime smoking in a large community-based sample of ‘young–old’ individuals. Brain volumes were measured using a semi-automated method in 315 participants aged 64–70 years who were selected from a larger randomly sampled cohort and who consented to a magnetic resonance imaging scan. Multiple regression analysis was used to assess the relationship between striatal volumes and cigarette smoking measures while controlling for age, sex, intracranial and total brain volumes and general physical and mental health measures. Greater lifetime use of cigarettes (measured in pack-years) was associated with smaller left nucleus accumbens area volume (P = 0.018) and larger left putamen volume (P = 0.025). Greater putaminal volume was also associated with a lower age at smoking initiation (P = 0.004). In this generally healthy cohort, lifetime use of cigarettes is significantly associated with striatal volume measures. These changes could indicate predisposing factors for nicotine addiction, or an effect of chronic nicotine exposure or a combination of both.NHMRC (National Health and Medical Research Council of Australia

Isolation and Characterization of Bioremediation Potent Microorganisms from Spectrophotometrically Analysed Heavy Metal (Cr and Cd)-Rich Tannery Effluent

ABSTRACT Microorganisms can become tolerant and highly efficient in degrading toxic heavy metals that cause environmental pollution. This study focuses on the isolation of hexavalent Cr and Cd (II)-resistant bacteria collected from tannery effluents. The isolation was conducted by spread plate method on Agar plates supplemented with their respective heavy metal salts (K 2 Cr 2 O 7 and CdCl 2 ). A total of ten isolates were screened of which, two were subjected to 16sRNA sequencing on the basis of the degree of their resistance to heavy metals. The bacteria, identified from the isolates, were Flavobacterium psychrophilum and Flavobacterium sp. ARSA-103, which can be used for bioremediation of metal-contaminated effluents

Dynamics of Hot QCD Matter -- Current Status and Developments

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. The experimentalists around the world not only collect an unprecedented amount of data in heavy-ion collisions, at Relativistic Heavy Ion Collider (RHIC), at Brookhaven National Laboratory (BNL) in New York, USA, and the Large Hadron Collider (LHC), at CERN in Geneva, Switzerland but also analyze these data to unravel the mystery of this new phase of matter that filled a few microseconds old universe, just after the Big Bang. In the meantime, advancements in theoretical works and computing capability extend our wisdom about the hot-dense QCD matter and its dynamics through mathematical equations. The exchange of ideas between experimentalists and theoreticians is crucial for the progress of our knowledge. The motivation of this first conference named "HOT QCD Matter 2022" is to bring the community together to have a discourse on this topic. In this article, there are 36 sections discussing various topics in the field of relativistic heavy-ion collisions and related phenomena that cover a snapshot of the current experimental observations and theoretical progress. This article begins with the theoretical overview of relativistic spin-hydrodynamics in the presence of the external magnetic field, followed by the Lattice QCD results on heavy quarks in QGP, and finally, it ends with an overview of experiment results.Comment: Compilation of the contributions (148 pages) as presented in the `Hot QCD Matter 2022 conference', held from May 12 to 14, 2022, jointly organized by IIT Goa & Goa University, Goa, Indi

(Anti-)deuteron production in pp collisions at 1as=13TeV

The study of (anti-)deuteron production in pp collisions has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. In this paper the production of (anti-)deuterons is studied as a function of the charged particle multiplicity in inelastic pp collisions at s=13 TeV using the ALICE experiment. Thanks to the large number of accumulated minimum bias events, it has been possible to measure (anti-)deuteron production in pp collisions up to the same charged particle multiplicity (d Nch/ d \u3b7 3c 26) as measured in p\u2013Pb collisions at similar centre-of-mass energies. Within the uncertainties, the deuteron yield in pp collisions resembles the one in p\u2013Pb interactions, suggesting a common formation mechanism behind the production of light nuclei in hadronic interactions. In this context the measurements are compared with the expectations of coalescence and statistical hadronisation models (SHM)