Interval-valued intuitionistic fuzzy soft graphs with application

The concept of interval-valued intuitionistic fuzzy soft sets and fuzzy graphs structure together constitute a new structure called an interval-valued intuitionistic fuzzy soft graph. The definitions of interval-valued intuitionistic fuzzy soft subgraph and strong interval-valued intuitionistic fuzzy soft graph are introduced with suitable examples. The degree of the good influence of a parameter in a fuzzy network and there is no influence by an interval number in the same system. Similarly, the effectiveness and non-effectiveness of the other fuzzy system on other parameters is measured by the concept of soft graphs in this article. Also, several different types of operations, including Cartesian product, strong product and composition on interval-valued intuitionistic fuzzy soft graphs are presented. Some related properties of these operations are investigated. Finally, we give a real-life application of interval-valued intuitionistic fuzzy soft graphs on social media and find out the most affected person in social media.Publisher's Versio

Study on genetic diversity in chilli (Capsicum annuum) based on multivariate analysis and isozyme analysis

Thirty seven diverse chilli (Capsicum annuum) genotypes were studied for 22 growth, yield and fruit quality traits. Multivariate analysis grouped the genotypes into 7 clusters. Cluster IV was largest containing 14 genotypes. Inter cluster distance was maximum between cluster V and VII (248.09), and minimum between cluster I and II (57.80). Cluster VII was most heterogeneous (intra-cluster divergence value 191.25) and Cluster II was most homogeneous (30.25). Genotypes were also analyzed for peroxidase enzyme polymorphism using gel electrophoresis which resulted seven electrophoretic bands (Rf 0.19 to 0.59) and grouped the genotypes into 6 zymotypes. Zymotype P4 included maximum (13) number of genotypes. Number of clusters in peroxidase and multivariate analysis were almost same but distribution of genotypes varied. 73% of total genotypes showed similar pattern of grouping suggesting that the two methods are complementary to each other and should be carried out simultaneously to determine genetic diversity more effectively. Considering variability and diversity analysis of the genotypes, CUCH-4 from Cluster-II (& Zymotype-P2) and CUCH-31, CUCH-34 and CUCH-35 from Cluster-VII (& Zymotype-P4) were identified as promising genotypes which can be used in further crop improvement programme

Presence of Heavy Metals in Vegetables Collected from Jashore, Bangladesh: Human Health Risk Assessment

This research was carried out to estimate the concentrations of heavy metals (Fe, Mn, Cu, Zn, Pb and Cd) and to assess the human health risk. Estimated Daily Intake (EDI), Target Hazard Quotient (THQ), Hazard Index (HI) and Target Cancer Risk (TCR) were measured and the carcinogenic and non-carcinogenic health risks were calculated. The concentrations of Mn, Fe, Cu and Zn except Cd and Pb were below the permission limit proposed by the joint FAO/WHO. Transfer factor of heavy metals from soil to vegetables was calculated and the decreasing order was Cu (0.786) > Cd (0.759) > Zn (0.569) > Pb (0.432) > Mn (0.167) > Fe (0.050). Assessment of non-carcinogenic health hazards by THQ indicated no concern for individual Mn, Fe, Cu and Zn except Cd and Pb. But the combined impact of all metals (HI = 8.64775) was very high than the acceptable limit of 1.0 for all vegetables. So, the consumption of these vegetables were the prime concern for non-carcinogenic health effects and all metals together may affect the human health as revealed by HI. The probability of developing cancer from the consumption of studied vegetable was greater than USEPA threshold risk limit (>10–5) for Mn (2.8E–3), Pb (1.17E–4) and Cu (9.5E–4); (> 10–3) for Zn (2.15E–2) and Fe (1.45E–1). These values indicated moderate cancer risk for Mn, Cu and Pb, high cancer risk for Fe and Zn whereas Cd showed low cancer risk from this study area

Design and Synthesis of Fluorescent Carbon Dot Polymer and Deciphering Its Electronic Structure

Herein we report the one-pot synthesis of a fluorescent polymer-like material (pCD) by exploiting ruthenium-doped carbon dots (CDs) as building blocks. The unusual spectral profiles of pCDswith double-humped periodic excitation dependent photoluminescence (EDPL), and the regular changes in their corresponding average lifetime indicate the formation of high energy donor states and low energy aggregated states due to the overlap of molecular orbitals throughout the chemically switchable π-network of CDs on polymerization. To probe the electronic distribution of pCDs, we have investigated the occurrence of photoinduced electron transfer with a model electron acceptor, menadione using transient absorption technique, corroborated with low magnetic field, followed by identification of the transient radical ions generated through electron transfer. The experimentally obtained B_(1/2) value, a measure of the hyperfine interactions present in the system, indicates the presence of highly conjugated π-electron cloud in pCDs. The mechanism of formation of pCDs and the entire experimental findings have further been investigated through molecular modeling and computational modeling. The DFT calculations demonstrated probable electronic transitions from the surface moieties of pCDs to the tethered ligands

An enolato-bridged dinuclear Cu(II) complex with a coumarin-assisted precursor: a spectral, magnetic and biological study

Coumarin assisted dinuclear [Cu2(L)2(DMF)2] (1) shows weak ferromagnetic interaction and a geometric distortion occurs while lowering the temperature in EPR

Design and Synthesis of Fluorescent Carbon Dot Polymer and Deciphering Its Electronic Structure

Herein we report the one-pot synthesis of a fluorescent polymer-like material (pCD) by exploiting ruthenium-doped carbon dots (CDs) as building blocks. The unusual spectral profiles of pCDswith double-humped periodic excitation dependent photoluminescence (EDPL), and the regular changes in their corresponding average lifetime indicate the formation of high energy donor states and low energy aggregated states due to the overlap of molecular orbitals throughout the chemically switchable π-network of CDs on polymerization. To probe the electronic distribution of pCDs, we have investigated the occurrence of photoinduced electron transfer with a model electron acceptor, menadione using transient absorption technique, corroborated with low magnetic field, followed by identification of the transient radical ions generated through electron transfer. The experimentally obtained B_(1/2) value, a measure of the hyperfine interactions present in the system, indicates the presence of highly conjugated π-electron cloud in pCDs. The mechanism of formation of pCDs and the entire experimental findings have further been investigated through molecular modeling and computational modeling. The DFT calculations demonstrated probable electronic transitions from the surface moieties of pCDs to the tethered ligands

Dissecting the genetic architecture of phenology affecting adaptation of spring bread wheat genotypes to the major wheat-producing zones in India

Spring bread wheat adaptation to diverse environments is supported by various traits such as phenology and plant architecture. A large-scale genome-wide association study (GWAS) was designed to investigate and dissect the genetic architecture of phenology affecting adaptation. It used 48 datasets from 4,680 spring wheat lines. For 8 years (2014–2021), these lines were evaluated for days to heading (DH) and maturity (DM) at three sites: Jabalpur, Ludhiana, and Samastipur (Pusa), which represent the three major Indian wheat-producing zones: the Central Zone (CZ), North-Western Plain Zone (NWPZ), and North-Eastern Plain Zone (NEPZ), respectively. Ludhiana had the highest mean DH of 103.8 days and DM of 148.6 days, whereas Jabalpur had the lowest mean DH of 77.7 days and DM of 121.6 days. We identified 119 markers significantly associated with DH and DM on chromosomes 5B (76), 2B (18), 7D (10), 4D (8), 5A (1), 6B (4), 7B (1), and 3D (1). Our results clearly indicated the importance of the photoperiod-associated gene (Ppd-B1) for adaptation to the NWPZ and the Vrn-B1 gene for adaptation to the NEPZ and CZ. A maximum variation of 21.1 and 14% was explained by markers 2B_56134146 and 5B_574145576 linked to the Ppd-B1 and Vrn-B1 genes, respectively, indicating their significant role in regulating DH and DM. The results provide important insights into the genomic regions associated with the two phenological traits that influence adaptation to the major wheat-producing zones in India