Calculated distance measures for cement storage enclosure quality control.

Calculated distance measures for cement storage enclosure quality control.</p

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Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of potential defects or outliers within a system. This study aims to develop a hybrid concept by combining a Cubic Intuitionistic Fuzzy Set (CIFS) with Soft Set (SS) and extending it to Cubic Intuitionistic Fuzzy Hypersoft Set (CIFHSS). CIFHSS enables handling multiple distinct attributes at the sub-attribute level within a cubic set environment. The concept includes operations like internal, partial internal, external, complement, direct sum, and product. Additionally, six distance metrics are defined within CIFHSS and applied to establish a quality control management system for industrial applications. The versatility of CIFHSS in quality control management stems from its ability to capture and model uncertainty, vagueness, and imprecision in data. This makes it an effective tool for decision-making, risk analysis, and process optimization across a wide range of industrial applications.</div

Fuzzy hypersoft set.

Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of potential defects or outliers within a system. This study aims to develop a hybrid concept by combining a Cubic Intuitionistic Fuzzy Set (CIFS) with Soft Set (SS) and extending it to Cubic Intuitionistic Fuzzy Hypersoft Set (CIFHSS). CIFHSS enables handling multiple distinct attributes at the sub-attribute level within a cubic set environment. The concept includes operations like internal, partial internal, external, complement, direct sum, and product. Additionally, six distance metrics are defined within CIFHSS and applied to establish a quality control management system for industrial applications. The versatility of CIFHSS in quality control management stems from its ability to capture and model uncertainty, vagueness, and imprecision in data. This makes it an effective tool for decision-making, risk analysis, and process optimization across a wide range of industrial applications.</div

A Graphical Representation of the timeline of the developed structure.

A Graphical Representation of the timeline of the developed structure.</p

Cubic intuitionistic fuzzy hypersoft set.

Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of potential defects or outliers within a system. This study aims to develop a hybrid concept by combining a Cubic Intuitionistic Fuzzy Set (CIFS) with Soft Set (SS) and extending it to Cubic Intuitionistic Fuzzy Hypersoft Set (CIFHSS). CIFHSS enables handling multiple distinct attributes at the sub-attribute level within a cubic set environment. The concept includes operations like internal, partial internal, external, complement, direct sum, and product. Additionally, six distance metrics are defined within CIFHSS and applied to establish a quality control management system for industrial applications. The versatility of CIFHSS in quality control management stems from its ability to capture and model uncertainty, vagueness, and imprecision in data. This makes it an effective tool for decision-making, risk analysis, and process optimization across a wide range of industrial applications.</div

Intuitionistic fuzzy hypersoft set.

Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company’s reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of potential defects or outliers within a system. This study aims to develop a hybrid concept by combining a Cubic Intuitionistic Fuzzy Set (CIFS) with Soft Set (SS) and extending it to Cubic Intuitionistic Fuzzy Hypersoft Set (CIFHSS). CIFHSS enables handling multiple distinct attributes at the sub-attribute level within a cubic set environment. The concept includes operations like internal, partial internal, external, complement, direct sum, and product. Additionally, six distance metrics are defined within CIFHSS and applied to establish a quality control management system for industrial applications. The versatility of CIFHSS in quality control management stems from its ability to capture and model uncertainty, vagueness, and imprecision in data. This makes it an effective tool for decision-making, risk analysis, and process optimization across a wide range of industrial applications.</div

Antimicrobial and inhibition on heat-induced protein denaturation of constituents isolated from <i>Polygonatum</i><i>verticillatum</i> rhizomes

<div><p>This study was designed to assess the susceptibility of various microorganisms and inhibition on heat-induced protein denaturation against diosgenin and santonin, isolated from <i>Polygonatum verticillatum</i> rhizomes. Both diosgenin and santonin showed significant zone of inhibition when studied against various Gram-positive (<i>Bacillus subtilis</i>, <i>Bacillus cereus</i>, <i>Staphylococcus aureus</i> and <i>Staphylococcus epidermidis</i>) and Gram-negative bacteria (<i>Escherichia coli</i> and <i>Salmonella typhi</i>). In antifungal assay, only santonin exhibited profound sensitivity against various fungi (<i>Aspergillus flavus</i>, <i>Aspergillus niger</i>, <i>Trichoderma harzianum</i> and <i>Fusarium oxysporum</i>) used in the test. Both diosgenin and santonin also exhibited marked attenuation on heat-induced protein denaturation in a concentration-dependent manner with EC₅₀ values of 375 and 310 μg/mL, respectively. In conclusion, both the isolated compounds have antimicrobial potential supported by strong inhibition on protein denaturation and thus support the antimicrobial uses of plant in traditional system of treatment.</p></div

A new glycosidic antioxidant from <i>Ranunculus muricatus</i> L. (Ranunculaceae) exhibited lipoxygenasae and xanthine oxidase inhibition properties

<p>Phytochemical investigation of <i>Ranunculus muricatus</i> L. (Ranunculaceae) led to the isolation of a new metabolite named as ranuncoside from the ethyl acetate fraction of the plant. Structure of the novel compound was elucidated through detailed spectroscopic analyses, using UV, IR, ¹H, ¹³C NMR and 2D NMR in combination with EIMS and HR EI-MS techniques. The compound was evaluated for antioxidant activity using the 1,1-diphenyl-2-picryl-hydrazyl (DPPH) free radical scavenging assay. Its inhibitory potential was tested against lipoxygenase and xanthine oxidase enzymes. Ranuncoside potently scavenged the DPPH free radicals (IC₅₀ = 56.7 ± 0.43 μM) and strongly inhibited the activities of lipoxygenase (IC₅₀ = 63.9 ± 0.17 μM) and xanthine oxidase (IC₅₀ = 43.3 ± 0.22 μM).</p

Molecular ion and daughter ion peaks as obtained through GC-MS.

(DOCX)</p

Binding free energies reported by MMGBSA and MMPBSA methods for the MurF-compound complex.

Binding free energies reported by MMGBSA and MMPBSA methods for the MurF-compound complex.</p