Phylogeographic and population genetic structure of hound-like native dogs of the Mediterranean Basin
The dog was probably the first domesticated animal. Despite extensive archaeological and genetic investigations, the origin and the evolution of the extant dogs are still being debated. Dog breeds that have over time been selected for hunting share common ancestral traits. This study represents the first comprehensive attempt to survey at the genomic and mitochondrial level eight hound-like dogs breeds indigenous to the Mediterranean Basin to determine if they share common ancient origins. Results from the microsatellite analysis indicate that all the dog populations have a low inbreeding
Detection and Identification of Adulteration in Vinegar Samples Based on Reversed-Phase High-Performance Liquid Chromatographic (RP-HPLC) Strategies
Adulteration of vinegar to gain economic benefit has become a common practice in recent years. RP-HPLC strategies were proposed for the assurance of the concentration of acetic acid, rare organic acids (tartaric, malic, lactic and citric), and acetaldehyde in Egyptian vinegar samples. The flow rate was 0.5 mL/min using UV detection at 210 and 365 nm for organic acid and acetaldehyde, respectively. The linearity was 0.05-0.60 g/100 mL for acetic acid, 0.01-0.12 g/100 mL for citric, malic, and tartaric acids, 0.005-0.060 g/100 mL for lactic acid, and 0.02-0.16 mg/L for acetaldehyde with r2 > 0
Citric acid assisted phytoextraction of nickle from soil helps to tolerate oxidative stress and expression profile of NRAMP genes in sunflower at different growth stages
Introduction: Soil polluted with Nickel (Ni) adversely affects sunflower growth resulting in reduced yield. Counterbalancing Ni toxicity requires complex molecular, biochemical, and physiological mechanisms at the cellular, tissue, and whole plant levels, which might improve crop productivity. One of the primary adaptations to tolerate Ni toxicity is the enhanced production of antioxidant enzymes and the elevated expression of Ni responsive genes. Methods: In this study, biochemical parameters, production of ROS, antioxidants regulation, and expression of NRAMP metal transporter genes were
Prognostic significance of the genetic variant of lymphotoxin alpha (p.Thr60Asn) in egyptian patients with advanced hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide in terms of mortality, and susceptibility is attributed to genetic, lifestyle, and environmental factors. Lymphotoxin alpha (LTA) has a crucial role in communicating the lymphocytes with stromal cells and provoking cytotoxic effects on the cancer cells. There are no reports on the contribution of the LTA (c.179 C>A; p.Thr60Asn; rs1041981) gene polymorphism to HCC susceptibility. The main aim of this study is to investigate the association of LTA (c.179 C>A; p.Thr60Asn; rs1041981) variant with the HCC
Genome-wide comparison and identification of myosin gene family in Arabidopsis thaliana and Helianthus annuus
Myosins are essential components of organelle trafficking in all the eukaryotic cells. Myosin driven movement plays a vital role in the development of pollen tubes, root hairs and root tips of flowering plants. The present research characterized the myosin genes in Arabidopsis thaliana and Helianthus annuus by using different computational tools. We discovered a total of 50 myosin genes and their splice variants in both pant species. Phylogenetic analysis indicated that myosin genes were divided into four subclasses. Chromosomal location revealed that myosin genes were located on all five
Intercept algorithm for maneuvering targets based on differential geometry and lyapunov theory
Nowadays, the homing guidance is utilized in the existed and under development air defense systems (ADS) to effectively intercept the targets. The targets became smarter and capable to fly and maneuver professionally and the tendency to design missile with a small warhead became greater, then there is a pressure to produce a more precise and accurate missile guidance system based on intelligent algorithms to ensure effective interception of highly maneuverable targets. The aim of this paper is to present an intelligent guidance algorithm that effectively and precisely intercept the
NileULex: A phrase and word level sentiment lexicon for Egyptian and modern standard Arabic
This paper presents NileULex, which is an Arabic sentiment lexicon containing close to six thousands Arabic words and compound phrases. Forty five percent of the terms and expressions in the lexicon are Egyptian or colloquial while fifty five percent are Modern Standard Arabic. The development of the presented lexicon has taken place over the past two years. While the collection of many of the terms included in the lexicon was done automatically, the actual addition of any term was done manually. One of the important criterions for adding terms to the lexicon, was that they be as unambiguous
Guava Trees Disease Monitoring Using the Integration of Machine Learning and Predictive Analytics
The increase in population, food demand, and the pollution levels of the environment are considered major problems of this era. For these reasons, the traditional ways of farming are no longer suitable for early and accurate detection of biotic stress. Recently, precision agriculture has been extensively used as a potential solution for the aforementioned problems using high resolution optical sensors and data analysis methods that are able to cope with the resolution, size and complexity of the signals from these sensors. In this paper, several methods of machine learning have been utilized
Highly efficient human action recognition using compact 2DPCA-based descriptors in the spatial and transform domains
Human action recognition is considered as a challenging problem in the field of computer vision. Most of the reported algorithms are computationally expensive. In this paper, a novel system for human action recognition based on Two-Dimensional Principal Component Analysis (2DPCA) is presented. This method works directly on the optical flow and / or silhouette extracted from the input video in both the spatial domain and the transform domain. The algorithm reduces the computational complexity and storage requirements, while achieving high recognition accuracy, compared with the most recent
Intelligent Arabic-Based Healthcare Assistant
Text classification has been one of the most common natural language processing (NLP) objectives in recent years. Compared to other languages, this mission with Arabic is relatively restricted and in its early stages, and this combination in the medical application area is rare. This paper builds an Arabic health care assistant, specifically a pediatrician that supports Arabic dialects, especially Egyptian accents. The proposed application is a chatbot based on Artificial Intelligence (AI) models after experimenting with Two Bidirectional Encoder Representations from Transformers (BERT) models
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