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  • Open Access

    ARTICLE

    Evaluating the Efficacy of Latent Variables in Mitigating Data Poisoning Attacks in the Context of Bayesian Networks: An Empirical Study

    Shahad Alzahrani1, Hatim Alsuwat2, Emad Alsuwat3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1635-1654, 2024, DOI:10.32604/cmes.2023.044718

    Abstract Bayesian networks are a powerful class of graphical decision models used to represent causal relationships among variables. However, the reliability and integrity of learned Bayesian network models are highly dependent on the quality of incoming data streams. One of the primary challenges with Bayesian networks is their vulnerability to adversarial data poisoning attacks, wherein malicious data is injected into the training dataset to negatively influence the Bayesian network models and impair their performance. In this research paper, we propose an efficient framework for detecting data poisoning attacks against Bayesian network structure learning algorithms. Our framework utilizes latent variables to quantify… More >

  • Open Access

    ARTICLE

    A Model for Predicting the Psychological Well-Being of Older Adults in South Korea

    Hyangjin Park1, Haeryun Cho2, So Yeon Yoo3,*

    International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1219-1228, 2023, DOI:10.32604/ijmhp.2023.041490

    Abstract This study examined factors related to the psychological well-being of older adults and built and verified a model for predicting psychological well-being. The participants were 350 older adults aged over 60 years who lived in South Korea and were active in the local community. The model proposed in this study was found to be suitable. Depression, self-efficacy, and social support had a direct effect on the psychological well-being of older adults, while depression, activities of daily living (ADLs), and self-efficacy had an indirect effect. Self-efficacy and social support mediated the relationship between depression and psychological well-being, and self-efficacy mediated the… More >

  • Open Access

    ARTICLE

    Assessing the Efficacy of Improved Learning in Hourly Global Irradiance Prediction

    Abdennasser Dahmani1, Yamina Ammi2, Nadjem Bailek3,4,*, Alban Kuriqi5,6, Nadhir Al-Ansari7,*, Salah Hanini2, Ilhami Colak8, Laith Abualigah9,10,11,12,13,14, El-Sayed M. El-kenawy15

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2579-2594, 2023, DOI:10.32604/cmc.2023.040625

    Abstract Increasing global energy consumption has become an urgent problem as natural energy sources such as oil, gas, and uranium are rapidly running out. Research into renewable energy sources such as solar energy is being pursued to counter this. Solar energy is one of the most promising renewable energy sources, as it has the potential to meet the world’s energy needs indefinitely. This study aims to develop and evaluate artificial intelligence (AI) models for predicting hourly global irradiation. The hyperparameters were optimized using the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton training algorithm and STATISTICA software. Data from two stations in Algeria with different climatic… More >

  • Open Access

    ARTICLE

    Implementation of Psychosocial Intervention StomieCare for Patients with Rectal Cancer Treated by Rectal Excision and Temporary Stoma: A Pilot Study of Feasibility, Acceptability and Efficacy

    Implémentation d’une intervention psychosociale StomieCare auprès de patients opérés d’un cancer du rectum avec stomie temporaire : une étude pilote de faisabilité, d’acceptabilité et d’efficacité

    Stéphane Faury1,*, Katia M’Bailara1,2, Eric Rullier3, Quentin Denost4, Bruno Quintard1

    Psycho-Oncologie, Vol.17, No.3, pp. 147-157, 2023, DOI:10.32604/po.2023.044901

    Abstract Objective: This study aims to evaluate the feasibility, acceptability, and efficacy of StomieCare for rectal cancer patients undergoing surgery with a temporary stoma. StomieCare (three individual sessions) comprises thematic discussions, information and education, and teaching problem-solving and cognitive restructuring. Methods: Thirty-seven rectal cancer participants treated by surgery and temporary stoma were recruited and randomized to control (routine care approach, n = 20) and intervention (routine care and StomieCare, n = 17) groups. Outcomes were psychological distress (anxiety and depression, HADS), body image (BIS, ESS), and quality of life (FACT-C), at one week before surgery (T1) and 3 months after stoma… More >

  • Open Access

    ARTICLE

    Comprehensive molecular analysis to predict the efficacy of chemotherapy containing bevacizumab in patients with metastatic colorectal cancer

    SUNG HEE LIM1,#, HEE JIN CHO1,2,3,#, KYOUNG-MEE KIM4, HO YEONG LIM1, WON KI KANG1, JEEYUN LEE1, YOUNG SUK PARK1, HEE CHEOL KIM5,*, SEUNG TAE KIM1,*

    Oncology Research, Vol.31, No.6, pp. 855-866, 2023, DOI:10.32604/or.2023.030374

    Abstract Background: Although bevacizumab is an important treatment for metastatic colorectal cancer (CRC), not all patients with CRC benefit from it; in unselected patient populations, only modest survival benefits have been reported. Methods: We evaluated clinical outcomes in 110 patients using comprehensive molecular characterization to identify biomarkers for a response to bevacizumab-containing treatment. The molecular analysis comprised whole-exome sequencing, ribonucleic acid sequencing, and a methylation array on patient tissues. Results: Genomic and molecular characterization was successfully conducted in 103 patients. Six of 103 CRC samples were hypermutated, and none of the non-hypermutant tumors were microsatellite unstable. Among those 103 patients, 89… More >

  • Open Access

    RETRACTION

    Retraction: Safety and Efficacy of Biodegradable Patent Foramen Ovale Occluder in Patients with Migraine: A Clinical Trial

    Xingbang Li1,#, Xuan Zheng2,#, Bowen Jin1, Yunyan Li1, Yongyu Shao1, Xiaoxian Deng1, Dingyang Li1, Shanshan Li1, Hongmei Zhou1, Jie Zhang3, Xianya Zhang4, Qunshan Shen1, Gangcheng Zhang2,*

    Congenital Heart Disease, Vol.18, No.4, pp. 489-489, 2023, DOI:10.32604/chd.2023.031413

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Safety and Efficacy of Biodegradable Patent Foramen Ovale Occluder in Patients with Migraine: A Clinical Trial

    Xingbang Li1,#, Xuan Zheng2,#, Bowen Jin1, Yunyan Li1, Yongyu Shao1, Xiaoxian Deng1, Dingyang Li1, Shanshan Li1, Hongmei Zhou1, Jie Zhang3, Xianya Zhang4, Qunshan Shen1, Gangcheng Zhang2,*

    Congenital Heart Disease, Vol.18, No.3, pp. 373-385, 2023, DOI:10.32604/chd.2023.028979

    Abstract Background: Transcatheter closure of patent foramen ovale (PFO) has been widely accepted as a highly effective way to treat high-risk PFO-related diseases. However, traditional non-degradable occluders made of metal alloys will permanently exist in the body, resulting in thrombosis, valve damage, hemolysis, arrhythmia, or other complications. The biodegradable PFO occluder developed by Shanghai Mallow Medical Instrument Co., Ltd., China can be fully absorbed and degrade into nontoxic ingredients, reducing postoperative complications. Objectives: To study the safety and efficacy of biodegradable PFO occluders in treating PFO. Methods: This single-center clinical trial collected 30 patients treated with a biodegradable PFO occluder. The… More > Graphic Abstract

    Safety and Efficacy of Biodegradable Patent Foramen Ovale Occluder in Patients with Migraine: A Clinical Trial

  • Open Access

    ARTICLE

    The Potential Efficacy of Glycyrrhizic Acid and Its Nanostructure Against Brown Rot of Peach fruits

    Tahsin Shoala1, Basma H. Amin2, Ismail A. S. Rashid3, Fayz A. Abdel-Rahman3, Mohamed E. Khalil3, Khamis Youssef3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1139-1152, 2023, DOI:10.32604/phyton.2023.026515

    Abstract Production of peaches (Prunus persica (L.) Batsch) for both local market and export is increasing each year in Egypt. Brown rot disease, caused by Monilinia laxa and Monilinia fructigena, is considered one of the most important postharvest rots affecting peaches in Egypt and economic losses are increasing. Antifungal activity of glycyrrhizic acid nanoparticles (GA-NPs) and glycyrrhizic acid (GA) at 0.2 and 0.4 mmol/L was investigated as a control for both these brown rot pathogens on peach fruits in both in vitro and in vivo studies. In the in vitro studies, GA-NPs were the most effective as shown by the ability… More >

  • Open Access

    ARTICLE

    Glucocorticoid reduces the efficacy of afatinib on the head and neck squamous cell carcinoma

    DONGYANG WANG, YI CHEN, JING HUANG, YOU ZHANG, CHONGKUI SUN, YINGQIANG SHEN*

    BIOCELL, Vol.47, No.2, pp. 329-338, 2023, DOI:10.32604/biocell.2023.023489

    Abstract Glucocorticoids (GC) are widely used to counter the adverse events during cancer therapy; nonetheless, previous studies pointed out that GC may reduce the efficacy of chemotherapy on cancer cells, especially in epidermal growth factor receptor (EGFR)-targeted therapy of head and neck squamous cell carcinoma (HNSCC) remaining to be elucidated. The primary aim of the present study was to probe into the GC-induced resistance of EGFR-targeted drug afatinib and the underlying mechanism. HNSCC cell lines (HSC-3, SCC-25, SCC-9, and H-400) and the human oral keratinocyte (HOK) cell lines were assessed for GC receptor (GR) expression. The promoting tumor growth effect of… More >

  • Open Access

    ARTICLE

    The Efficacy of Deep Learning-Based Mixed Model for Speech Emotion Recognition

    Mohammad Amaz Uddin1, Mohammad Salah Uddin Chowdury1, Mayeen Uddin Khandaker2,*, Nissren Tamam3, Abdelmoneim Sulieman4

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1709-1722, 2023, DOI:10.32604/cmc.2023.031177

    Abstract Human speech indirectly represents the mental state or emotion of others. The use of Artificial Intelligence (AI)-based techniques may bring revolution in this modern era by recognizing emotion from speech. In this study, we introduced a robust method for emotion recognition from human speech using a well-performed preprocessing technique together with the deep learning-based mixed model consisting of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN). About 2800 audio files were extracted from the Toronto emotional speech set (TESS) database for this study. A high pass and Savitzky Golay Filter have been used to obtain noise-free as well as… More >

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