Vertex decomposability, shellability and Cohen-Macaulayness of graphs upon graph operations

Throughout this work, the vertex decomposability and shellability of graphs formed from other graphs by various operations are investigated. Also among the other things, by using some graph operations, new classes of Cohen-Macaulay graphs from previous ones are presented

Development of a Step Counting Algorithm Using the Ambulatory Tibia Load Analysis System for Tibia Fracture Patients

Introduction: Ambulation can be used to monitor the healing of lower extremity fractures. However, the ambulatory behavior of tibia fracture patients remains unknown due to an inability to continuously quantify ambulation outside of the clinic. The goal of this study was to design and validate an algorithm to assess ambulation in tibia fracture patients using the ambulatory tibial load analysis system during recovery, outside of the clinic. Methods Data were collected from a cyclic tester, 14 healthy volunteers performing a 2-min walk test on the treadmill, and 10 tibia fracture patients who wore the ambulatory tibial load analysis system during recovery. Results The algorithm accurately detected 2000/2000 steps from simulated ambulatory data. (see full text for full abstract

Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4

In an era where cyberspace is both a battleground and a backbone of modern society, the urgency of safeguarding digital assets against ever-evolving threats is paramount. This paper introduces Cyber Sentinel, an innovative task-oriented cybersecurity dialogue system that is effectively capable of managing two core functions: explaining potential cyber threats within an organization to the user, and taking proactive/reactive security actions when instructed by the user. Cyber Sentinel embodies the fusion of artificial intelligence, cybersecurity domain expertise, and real-time data analysis to combat the multifaceted challenges posed by cyber adversaries. This article delves into the process of creating such a system and how it can interact with other components typically found in cybersecurity organizations. Our work is a novel approach to task-oriented dialogue systems, leveraging the power of chaining GPT-4 models combined with prompt engineering across all sub-tasks. We also highlight its pivotal role in enhancing cybersecurity communication and interaction, concluding that not only does this framework enhance the system's transparency (Explainable AI) but also streamlines the decision-making process and responding to threats (Actionable AI), therefore marking a significant advancement in the realm of cybersecurity communication

Inter simple sequence repeat (ISSR) markers as reproducible and specific tools for genetic diversity analysis of rose species

Rose is one of the most important cultivated ornamental plants in the world. A molecular approach using inter-simple sequence repeat (ISSR) markers was applied to seven species of Rosa. To obtain clear and reproducible bands on 2% agarose gels, 9 ISSR primers and 5 parameters (annealing temperature, DNA concentrations, primer concentrations, Taq DNA polymerase and MgCl2 concentrations) were screened. The resolution of six ISSR markers was performed, with optimal annealing temperature (Ta) varying from 45 to 50°C. A total of 66 DNA fragments were amplified, of which 50 were polymorphic. The optimal conditions for ISSR system were determined as follows: MgCl2 concentration was 2 mM, the quantity of Taq DNA polymerase 1 U, template DNA 30 ng and the concentration of primer was 1 μM and the reaction program was: initial denaturation for 5 min at 94°C, 35 cycles of denaturation for 30 s at 94°C, annealing for 45 s at specific annealing temperature for each primer, extension for 2 min at 72°C and a final 10 min extension at 72°C.Key words: Inter-simple sequence repeat marker, rose species, genetic diversity, optimization

Investigation on genetic structure of Russian sturgeon (Acipenser gueldenstaedtii) populations of the north (Volga River) and south Caspian Sea (coasts of Iran and Turkmenistan) using microsatellite techniques

A total of 28 specimens of adult Russian sturgeon brood fish from the Volga River (Astrakhan, Russia) and 42 specimens from the south Caspian Sea (coastline of Iran and Turkmenistan) were collected. About 2g of fin tissue was stored in 96% ethyl alcohol and transferred to the genetic laboratory of the International Sturgeon Research Institute. Genomic DNA was extracted using phenol-chloroform method. The quality and quantity of DNA was assessed by Agarose gel electrophoresis and spectrophotometry. Polymerase Chain Reaction (PCR) was conducted using eight pairs of microsatellite primers and its products were electrophoresed using 6% polyacrylamide gel followed by silver nitrate staining. Allele sizes were measured in all populations, then genetic parameters were calculated using Gen Alex program and the phylogenetic relationship was determined and drawn using TFPGA program. A minimum of 10 and a maximum of 21 alleles were identified per locus and the observed heterozygosity ranged between 0.50-0.96 and the expected heterozygosity was 0.74-0.90 with an average of 0.68. Hardy-Weinberg equilibrium was observed at Ls-19, Ls-39 loci, but showed disequilibrium in other loci. FST index between Volga and South Caspian Sea samples was 0.031. The genetic similarity and distance was 0.661 and 0.414, respectively. Results of the present investigation indicate that there are no significant differences between the south Caspian Sea Russian sturgeon specimens