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Access Control and Authorization in Smart Homes: A Survey

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维普期刊数据库

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Tsinghua Science and Technology 2021年第6期26卷 906-917页

作者： Ziarmal Nazar Mohammad fadi Farha Adnan O.M Abuassba Shunkun Yang Fang Zhou School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China School of Computer Studies Arab Open UniversityBeijing 100191China School of Reliability and Systems Engineering Beihang UniversityRamallah 4375Palestine

With the rapid development of cyberspace and smart home technology, human life is changing to a new virtual dimension with several promises for improving its quality. Moreover, the heterogeneous, dynamic, and internet-connected nature of smart homes brings many privacy and security difficulties. Unauthorized access to the smart home system is one of the most harmful actions and can cause several trust problems and relationship conflicts between family members and invoke home privacy issues. Access control is one of the best solutions for handling this threat, and it has been used to protect smart homes and other Internet of Things domains for many years. This survey reviews existing access control schemes for smart homes, which concern the essential authorization requirements and challenges that need to be considered while designing an authorization framework for smart homes. Furthermore, we note the most critical challenges that other access control solutions neglect for smart homes.

关键词： access control smart home authorization frameworks

A dynamic rule-induction method for classification in data mining

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Journal of Management Analytics 2015年第3期2卷 233-253页

作者： Issa Qabajeh fadi Thabtah Francisco Chiclana E-Business Department Canadian University of DubaiDubaiUAE Computing and Informatics Department De Montfort UniversityLeicesterUK Centre for Computational Intelligence De Montfort UniversityLeicesterUK

Rule induction(RI)produces classifiers containing simple yet effective‘If–Then’rules for decision *** algorithms normally based on PRISM suffer from a few drawbacks mainly related to rule pruning and rule-sharing items(attribute values)in the training data *** response to the above two issues,a new dynamic rule induction(DRI)method is *** a rule is produced and its related training data instances are discarded,DRI updates the frequency of attribute values that are used to make the next in-line rule to reflect the data ***,the attribute value frequencies are dynamically adjusted each time a rule is generated rather statically as in *** enables DRI to generate near perfect rules and realistic *** results using different University of California Irvine data sets show competitive performance in regards to error rate and classifier size of DRI when compared to other RI algorithms.

关键词： data mining classification rules rule induction expected accuracy

B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis

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Genomics, Proteomics & Bioinformatics 2012年第3期10卷 142-152页

作者： fadi Towfic Shakti Gupta Vasant Honavar Shankar Subramaniam Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIA 50010USA Department of Bioengineering University of California at San DiegoLa JollaCA 92122USA

The initiation of B-cell ligand recognition is a critical step for the generation of an immune response against foreign bodies. We sought to identify the biochemical pathways involved in the B-cell ligand recognition cascade and sets of ligands that trigger similar immunological responses. We utilized several comparative approaches to analyze the gene coexpression networks generated from a set of microarray experiments spanning 33 different ligands. First, we compared the degree distributions of the generated networks. Second, we utilized a pairwise network alignment algorithm, BiNA, to align the networks based on the hubs in the networks. Third, we aligned the networks based on a set of KEGG pathways. We summarized our results by constructing a consensus hierarchy of pathways that are involved in B cell ligand recognition. The resulting pathways were further validated through literature for their common physiological responses. Col- lectively, the results based on our comparative analyses of degree distributions, alignment of hubs, and alignment based on KEGG path- ways provide a basis for molecular characterization of the immune response states of B-cells and demonstrate the power of comparative approaches （e.g., gene coexpression network alignment algorithms） in elucidating biochemical pathways involved in complex signaling events in ceils.

关键词： Ligand recognition B-cells Gene coexpression network alignment

Prostate-specific antigen doubling time and response to cabazitaxel in a hormone-resistant metastatic prostate cancer patient

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The Journal of Biomedical Research 2015年第5期29卷 420-422页

作者： Marwan Ghosn Alain Dagher fadi El-Karak Hematology-Oncology Department Faculty of MedicineSaint-Joseph University

We report a case of metastatic castration-resistant prostate cancer, who received prior treatment with docetaxel and was then given cabazitaxel as salvage therapy. The patient was monitored by prostate-specific antigen doubling time and prostate-specific antigen absolute value. The prostate-specific antigen doubling time was found to be a good response predictor in the patient.

关键词： prostate-specific antigen doubling time prostate cancer cabazitaxel docetaxel

Coxsackievirus B infection presenting as a hemorrhagic pericardial effusion causing tamponade

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Journal of Geriatric Cardiology 2020年第10期17卷 642-644页

作者： fadi Kandah Pooja Dhruva Jose Ruiz Andres Martinez William Kogler Internal Medicine University of Florida Health JacksonvilleJacksonvilleUSA

The coxsackievirus is well known for its vastly differing clinical *** with coxsackievirus usually present with a viral prodrome which can then progress to the cardiac symptoms of chest pain and/or *** patients improv... 详细信息

关键词： Cardiac tamponade Coxsackievirus Pericarditis

Comparative Evaluation and Comprehensive Analysis of Machine Learning Models for Regression Problems

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Data Intelligence 2022年第3期4卷 620-652页

作者： Boran Sekeroglu Yoney Kirsal Ever Kamil Dimililer fadi Al-Turjman Information Systems Engineering Department Near East UniversityNicosiaCyprusMersin 10Turkey Software Engineering Department Near East UniversityNicosiaCyprusMersin 10Turkey Electrical and Electronic Engineering Department Near East UniversityNicosiaCyprusMersin 10Turkey Artificial Intelligence Engineering Department Near East UniversityNicosiaCyprusMersin 10Turkey Research Centre for AI and IoT Near East UniversityNicosiaCyprusMersin 10Turkey

Artificial intelligence and machine learning applications are of significant importance almost in every field of human life to solve problems or support human experts. However, the determination of the machine learning model to achieve a superior result for a particular problem within the wide real-life application areas is still a challenging task for researchers. The success of a model could be affected by several factors such as dataset characteristics, training strategy and model responses. Therefore, a comprehensive analysis is required to determine model ability and the efficiency of the considered strategies. This study implemented ten benchmark machine learning models on seventeen varied datasets. Experiments are performed using four different training strategies 60:40, 70:30, and 80:20 hold-out and five-fold cross-validation techniques. We used three evaluation metrics to evaluate the experimental results: mean squared error, mean absolute error, and coefficient of determination(R2score). The considered models are analyzed, and each model’s advantages, disadvantages, and data dependencies are indicated. As a result of performed excess number of experiments, the deep Long-Short Term Memory(LSTM) neural network outperformed other considered models, namely, decision tree, linear regression, support vector regression with a linear and radial basis function kernels, random forest, gradient boosting, extreme gradient boosting, shallow neural network, and deep neural network. It has also been shown that cross-validation has a tremendous impact on the results of the experiments and should be considered for the model evaluation in regression studies where data mining or selection is not performed.

关键词： Machine learning Regression Comparative evaluation Analysis Validation

Atorvastatin-induced severe gastric ulceration: A case report

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World Journal of Gastroenterology 2005年第20期11卷 3159-3160页

作者： Ihab I El-Hajj fadi H Mourad Nina S Shabb Kassem A Barada Department of Internal Medicine American University of Beirut Medical Center(AUBMC) Beirut Lebanon Department of Pathology AUBMC Beirut Lebanon

A 41-year-old man presented with severe gastric ulceration 3 mo after beginning treatment with atorvastatin 20 mg once daily for hypercholesterolemia. The patient was not taking any ulcerogenic drugs and had no evidence of Helicobacter pylori infection. Proton pump inhibitor therapy was initiated and atorvastatin was replaced by simvastatin with complete resolution of gastrointestinal symptoms. To our knowledge, this is the first report of atorvastatin-induced gastric ulceration,which should be looked for in patients who develop abdominal pain while on this drug.

关键词： Atorvastatin Drug toxicity Gastric ulceration

Left ventricular non-compaction presenting as cardio-embolic stroke

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Journal of Geriatric Cardiology 2020年第10期17卷 645-646页

作者： Andres Martinez Michael Omar fadi Kandah Jose Ruiz Ahsan Niazi Department of Internal Medicine University of Florida College of Medicine-JacksonvilleFloridaUSA Department of Cardiology University of Florida College of Medicine-JacksonvilleFloridaUSA Department of Neurology University of Florida College of Medicine-JacksonvilleFloridaUSA

A 39-year-old male with no known comorbidities presented with sudden onset right-sided *** examination,blood pressure was 128/79 mmHg,National Institutes of Health Stroke Scale score was 4 and there were no signs of heart *** computerized tomography demonstrated an ischemic infarct of the left middle cerebral artery distribution and brain magnetic resonance imaging later confirmed it(Figure 1).

关键词： Cardio-embolic Cardiomyopathy Non-compaction Trabeculae

Is metastatic pancreatic cancer an untargetable malignancy?

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World Journal of Gastrointestinal Oncology 2016年第3期8卷 297-304页

作者： Hampig Raphael Kourie Joseph Gharios fadi Elkarak Joelle Antoun Marwan Ghosn Department of Oncology Faculty of Medicine Saint Joseph University

Metastatic pancreatic cancer(MPC) is one of the most aggressive malignancies, known to be chemo-resistant and have been recently considered resistant to some targeted therapies(TT). Erlotinib combined to gemcitabine is the only targeted therapy that showed an overall survival benefit in MPC. New targets and therapeutic approaches, based on new-TT, are actually being evaluated in MPC going from immunotherapy, epigenetics, tumor suppressor gene and oncogenes to stromal matrix regulators. We aim in this paper to present the major causes rendering MPC an untargetable malignancy and to focus on the new therapeutic modalities based on TT in MPC.

关键词： Pancreatic cancer Tumor suppressor genes Targeted therapies Immunotherapy Epigenetics