Research ArticleOpen accessIn the abstractCPI-1189 Protects against TNBS-induced Colitis in a Rodent ModelBeverley Greenwood-Van Meerveld, Karl TylerNitrone-related therapeutics (NRTs) represents a new class of molecules that may be effective in treating inflammatory conditions. The goal of this study was to examine the effect of CPI-1189 in a rat model of inflammatory bowel disease (IBD). Colonic inflammation was induced by an enema of trinitrobenzene sulfonic acid (TNBS). Saline-enema treated rats served as controls. After 3 days colonic … …American Journal of Pharmacology and Toxicology, Vol. 2, Issue 2 · 30 Jun 2007 · 7,168 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Discrete-Time Hazard Model for Loans: Some Evidence from Italian Banking SystemGiambona FrancescaProblem statement: The probability of default, PD, is a crucial problem for banks. In the last years international accords (Basel, Basel 2 and Basel 3) have incentived banks to adopt objectives systems to evaluating and monitoring risk of default in order to predict PD for new loans based on borrower’s characteristics. The aim of this study is to introduce a … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 7,394 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNeuro-Based Artificial Intelligence Model for Loan DecisionsShorouq Fathi Eletter, Saad Ghaleb Yaseen, Ghaleb Awad ElrefaeProblem statement: Despite the increase in consumer loans defaults and competition in the banking market, most of the Jordanian commercial banks are reluctant to use artificial intelligence software systems for supporting loan decisions. Approach: This study developed a proposed model that identifies artificial neural network as an enabling tool for evaluating credit applications to support loan decisions in the Jordanian … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 10,803 accessesView PDFCite