Fuzzy-rough set and fuzzy ID3 decision approaches to knowledge discovery in datasets

Fuzzy rough sets are the generalization of traditional rough sets to deal with both fuzziness and vagueness in data. The existing researches on fuzzy rough sets mainly concentrate on the construction of approximation operators. Less effort has been put on the knowledge discovery in datasets with fuzzy rough sets. This paper mainly focuses on knowledge discovery in datasets with fuzzy rough sets. After analyzing the previous works on knowledge discovery with fuzzy rough sets, we introduce formal concepts of attribute reduction with fuzzy rough sets and completely study the structure of attribute reduction

Coating of conducting and insulating threads with porous mof particles through langmuir-blodgett technique

The Langmuir-Blodgett (LB) method is a well-known deposition technique for the fabrication of ordered monolayer and multilayer thin films of nanomaterials onto different substrates that plays a critical role in the development of functional devices for various applications. This paper describes detailed studies about the best coating configuration for nanoparticles of a porous metal-organic framework (MOF) onto both insulating or conductive threads and nylon fiber. We design and fabricate customized polymethylmethacrylate sheets (PMMA) holders to deposit MOF layers onto the threads or fiber using the LB technique. Two different orientations, namely, horizontal and vertical, are used to deposit MIL-96(Al) monolayer films onto five different types of threads and nylon fiber. These studies show that LB film formation strongly depends on deposition orientation and the type of threads or fiber. Among all the samples tested, cotton thread and nylon fiber with vertical deposition show more homogenous monolayer coverage. In the case of conductive threads, the MOF particles tend to aggregate between the conductive thread’s fibers instead of forming a continuous monolayer coating. Our results show a significant contribution in terms of MOF monolayer deposition onto single fiber and threads that will contribute to the fabrication of single fiber or thread-based devices in the future

Evaluating the Effectiveness of Digital Inclusion at Private Educational Schools in Gaza Strip

The research aims to evaluate the process of digital inclusion and the usage of digital tools in the educational process at private schools in Gaza Strip - Palestine. Education is the beacon of knowledge and development that is accompanied by developmental processes aimed at rising and improving the quality of service through the use of digital tools in all aspects of the educational and administrative processes within a school. In this study, the research team sought to know the tools used in the process of digital integration, and the challenges and problems faced by teachers while using digital tools, in addition to providing recommendations to help solve or mitigate problems. The descriptive analytical method is adopted to carry out the research. The results of the study showed weakness in the effectiveness of the digital inclusion process and the use of digital tools in the educational process in private schools. Furthermore, recommendations to the schools’ administrations, teachers and the Ministry of Education are stated in order to alleviate the problems and challenges of using digital tools

Differentially expressed microRNAs in maternal plasma for the noninvasive prenatal diagnosis of Down syndrome (trisomy 21).

OBJECTIVES: Most developmental processes are under the control of small regulatory RNAs called microRNAs (miRNAs). We hypothesize that different fetal developmental processes might be reflected by extracellular miRNAs in maternal plasma and may be utilized as biomarkers for the noninvasive prenatal diagnosis of chromosomal aneuploidies. In this proof-of-concept study, we report on the identification of extracellular miRNAs in maternal plasma of Down syndrome (DS) pregnancies. METHODS: Using high-throughput quantitative PCR (HT-qPCR), 1043 miRNAs were investigated in maternal plasma via comparison of seven DS pregnancies with age and fetal sex matched controls. RESULTS: Six hundred and ninety-five miRNAs were identified. Thirty-six significantly differentially expressed mature miRNAs were identified as potential biomarkers. Hierarchical cluster analysis of these miRNAs resulted in the clear discrimination of DS from euploid pregnancies. Gene targets of the differentially expressed miRNAs were enriched in signaling pathways such as mucin type-O-glycans, ECM-receptor interactions, TGF-beta, and endocytosis, which have been previously associated with DS. CONCLUSIONS: miRNAs are promising and stable biomarkers for a broad range of diseases and may allow a reliable, cost-efficient diagnostic tool for the noninvasive prenatal diagnosis of DS

Osteoprotegerin, soluble receptor activator nuclear factor-κB ligand, nuclear factor kappa B and intestinal trefoil factor 3 are promising biomarkers in diagnosis and follow- up inflammatory bowel disease patients

Background: Inflammatory bowel disease (IBD) is a condition in which the gastrointestinal system becomes inflamed for no apparent reason. Its incidence increased during the last few decades. As a result, it's critical to understand how to validate a clinical diagnosis and monitor any progress using a simple procedure. Osteoprotegerin (OPG), which interacts with RANKL, regulates RANK/RANKL signaling. OPG is a decoy receptor for soluble receptor activator of nuclear factor-B ligand (sRANKL), which stimulates nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and the healing trefoil factor 3 (TFF3), which could be employed as in the diagnosis and follow-up of IBD patients, biomarkers are used. Objectives: The aim of the current work was to evaluate the role of RANKL (sRANKL), OPG, NF-κB , and TFF3 in in the diagnosis of active IBD. Subjects and methods: Thirty-five newly diagnosed untreated IBD patients and thirty-five healthy controls were included in this study. Patients were then given particular treatment either in the form of cortisone, mesalamin, immunotherapy or infliximab and immunotherapy for 3 months and attend for second visit. OPG, sRANKL, NF-κB and TFF3 levels were estimated by ELISA method using commercial kits in patients before and after treatment and healthy control. Results: Patients with IBD had significantly increased levels of OPG, sRANKL, NF-B, and TFF3 than healthy controls (P =0.0001). After 3 months of treatment, patients' levels of NF-B and TFF3 were significantly lower (p = 0.0001 and 0.03, respectively). Conclusion: The biomarkers OPG, sRANKL, NF-κB , and TFF3 show promise in the diagnosis of active IBD. The decrease in NF-κB and TFF3 following treatment suggests that be used as biomarkers to track disease activity and treatment effectiveness