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A High-Performance DNA Multiple Pattern Matching Algorithm Based on Index Binding and ASCII Hashing
Beyond health, the exponential trend in the volume of genomic data, combined with broad access to personal genome sequencing, has generated a pressing demand for fast and scalable algorithms to explore patterns in DNA sequences. Rapid and specific identification of DNA sub-sequences is of critical importance in various applications, such as personalized medicine, evolutionary biology, […]
Evaluating AI Performance in Academic Settings: A Comparative Study of ChatGPT-4 and Gemini
This study conducts a systematic comparison of ChatGPT-4 and Gemini in addressing academic queries across four disciplines: Python programming, financial accounting, business administration, and medical sciences. Through a mixed-methods analysis of 40 standardized questions (balanced between numerical and narrative formats), we evaluate the models’ accuracy, reasoning capabilities, and limitations. Results reveal ChatGPT-4’s superior performance with […]
Predicting employee retention using artificial intelligence and survival analysis approaches
Background: Employee retention is a critical concern for organizations seeking to maintain a stable and productive workforce. Understanding the factors driving turnover is essential for designing effective HR interventions. Methods: This study applies advanced survival analysis techniques, including the Kaplan–Meier estimator, Cox proportional hazards model, and Random Survival Forests (RSF), to predict employee retention and […]
Purification and Kinetics of lignin peroxidase from Emericella nidulans
Lignin peroxidase (EC 1.11.1.14) is a potent, heme-containing enzyme that catalyzes oxidative reactions in the presence of hydrogen peroxide. Its wide-ranging capabilities stem from its effectiveness in degrading xenobiotics and various compounds with both phenolic and non-phenolic structures. The enzyme was isolated and purified from Emericella nidulans using ammonium sulfate precipitation, DEAE-cellulose and Sephadex G200. The specific […]
Natural Nano-Preservative Strategy for Reducing Nitrosamines and Enhancing the Physical Quality of Grilled Beef Kofta
This current study evaluates the efficiency of zinc oxide nanoparticles (ZnO NP) and plant powders for degrading nitrosamine compounds towards improved beef kofta quality. With consumers still demanding healthier and more natural food, the current study endeavors to explore alternative solutions other than artificial additives that are employed in the majority of meat processing. The […]
Terpene scaffolds as allosteric inhibitors of PTP1B: An integrated docking, MD, and MM/PBSA study
Protein tyrosine phosphatase 1B (PTP1B) is a validated antidiabetic and anti-obesity target whose activity can be attenuated by small molecules engaging an allosteric cleft between helices α3/α7 beneath the Phe196/Phe280 “aromatic clamp.” Motivated by the tractability of terpene scaffolds, we evaluated artemisinic acid, dehydroabietic acid, and santonin as PTP1B allosteric inhibitors using an integrated in-silico […]
Potential application of prickly pear vinegar as a surface disinfectant: in vitro and molecular docking studies
The surface disinfectant property of a homemade prickly pear vinegar (PPV) is investigated throughout this study, using in vitro testes assisted by a molecular docking study, against Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli and Salmonella enterica) strains. Results show that PPV exhibited growth-inhibitory effect for all tested bacterial strains at MIC values ranging between 1.56, and […]
Review of postmortem interval estimation in forensic science: The classical triad, environmental factors, and sources of error
The precise determination of the Postmortem Interval (PMI)—defined as the temporal duration elapsed since the occurrence of death—constitutes a fundamental yet challenging endeavor within forensic pathology and medicolegal death investigation. Whilst contemporary molecular and entomological methodologies demonstrate enhanced precision for protracted post-mortem stages, the estimation of the early PMI (≤72 hours post-mortem) remains substantially contingent […]
A predictive model for climate change using advanced machine learning algorithms in Egypt
This study evaluates advanced machine learning (ML) models for forecasting daily average temperatures in Egypt, using a dataset from one of the world’s most climate databases, the GHCN-D of the NCEI under NOAA (United States). The dataset spans nine years (January 1, 2015 – December 31, 2023) and consists of 73,562 daily records from 23 […]
A novel integrated model for investigation into employee compliance with information security policies
A key component of a company’s integrity, both financially and in terms of reputation, is information security. When given the right direction, employees can play a significant role in strengthening information security, despite the fact that they are frequently seen as the weakest link in the chain. Businesses are doing this by implementing information security […]
