Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Yi Tang¹, Yajun Zhao², Zihan Jin³, Shengnan Wu^1,*, Zhijun Zhang⁴, Ju Zhou¹, Ling Zhou⁵

International Journal of Mental Health Promotion, Vol.26, No.7, pp. 559-568, 2024, DOI:10.32604/ijmhp.2024.050822 - 30 July 2024

Abstract This study aimed to investigate the relationship between mental health literacy (MHL) and workplace well-being (WWB) of Chinese grassroots civil servants, with regulatory emotional self-efficacy (RESE) and resilience as mediating variables. A questionnaire survey was conducted among Chinese grassroots civil servants, with a valid sample size of 2673 after excluding missing values and conducting relevant data processing. The PROCESS was used to examine the relationship between MHL, RESE, resilience, and WWB. The study found that MHL among grassroots civil servants was positively and significantly correlated with WWB (r = 0.73, p < 0.01). RESE partially mediated… More >

ANGUO WU^1,#, JIAO YAN^2,3,#, TING SU^2,4, CHI FENG¹, XIN LONG^5,6, YIRU PAN¹, RUPEI YE², TIAN XIA², HANAN LONG², JIANMING WU^1,*, XIULI XIAO^2,*

Oncology Research, Vol.32, No.7, pp. 1197-1207, 2024, DOI:10.32604/or.2024.046139 - 20 June 2024

Abstract Breast cancer, a predominant global health issue, requires ongoing exploration of new therapeutic strategies. Palbociclib (PAL), a well-known cyclin-dependent kinase (CDK) inhibitor, plays a critical role in breast cancer treatment. While its efficacy is recognized, the interplay between PAL and cellular autophagy, particularly in the context of the RAF/MEK/ERK signaling pathway, remains insufficiently explored. This study investigates PAL’s inhibitory effects on breast cancer using both in vitro (MCF7 and MDA-MB-468 cells) and in vivo (tumor-bearing nude mice) models. Aimed at elucidating the impact of PAL on autophagic processes and exploring the potential of combining it with trametinib… More > Graphic Abstract

Xindi Huang¹, Liwei Liang¹, Sakirin Tam², Hao Liang³, Xiong Cai⁴, Changsong Ding^1,5,*

Computer Systems Science and Engineering, Vol.48, No.3, pp. 691-704, 2024, DOI:10.32604/csse.2022.029970 - 20 May 2024

Abstract Chinese Medicine (CM) has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’ symptoms and syndromes. However, the selection and compatibility of herbs are complex and abstract due to intrinsic relationships between herbal properties and their overall functions. Network analysis is applied to demonstrate the complex relationships between individual herbal efficacy and the overall function of CM prescriptions. To illustrate their connections and correlations, prescription function (PF), prescription herb (PH), and herbal efficacy (HE) intra-networks are… More >

HUAN GAO^1,2, JIE ZHANG¹, TONY G. KLEIJN^1,3,4, ZHAOYONG WU⁵, BING LIU^1,6, YUJIN MA⁶, BAOYUE DING^1,*, DONGFENG YIN^2,*

Oncology Research, Vol.32, No.4, pp. 769-784, 2024, DOI:10.32604/or.2023.044276 - 20 March 2024

Abstract Bone metastasis secondary to breast cancer negatively impacts patient quality of life and survival. The treatment of bone metastases is challenging since many anticancer drugs are not effectively delivered to the bone to exert a therapeutic effect. To improve the treatment efficacy, we developed Pluronic P123 (P123)-based polymeric micelles dually decorated with alendronate (ALN) and cancer-specific phage protein DMPGTVLP (DP-8) for targeted drug delivery to breast cancer bone metastases. Doxorubicin (DOX) was selected as the anticancer drug and was encapsulated into the hydrophobic core of the micelles with a high drug loading capacity (3.44%). The… More > Graphic Abstract

Shahad Alzahrani¹, Hatim Alsuwat², Emad Alsuwat^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1635-1654, 2024, DOI:10.32604/cmes.2023.044718 - 29 January 2024

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… More >

SOBHA KOTA^*, RATNAKUMARI ANANTHA, VAYUNANDANA RAO GOVADA, PRADEEP DUMPALA

Journal of Polymer Materials, Vol.40, No.3-4, pp. 285-303, 2023, DOI:10.32381/JPM.2023.40.3-4.10

Abstract The exoskeleton of marine shrimp contains a natural, biocompatible polymer chitin, which is dumped as a waste. The study proposes the sustainable single-pot-extraction of chitosan from the waste and its use in the fabrication of wound-dressings, and thus leverage its piezoelectric, antioxidant, hypoglycaemic and medicinal properties in wound-healing. The Fourier transform infrared spectrum revealed that marine chitosan contains functional groups with N-O, O-H, and CO stretching. Scanning electron micrographs demonstrated the spherical and mesoporous structures of the extracted chitosan. X-ray diffraction analysis showed a semi-crystalline phase of chitosan particles with a mean size of 28.9… More >

Hyangjin Park¹, Haeryun Cho², So Yeon Yoo^3,*

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1219-1228, 2023, DOI:10.32604/ijmhp.2023.041490 - 08 December 2023

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 More >

Abdennasser Dahmani¹, Yamina Ammi², Nadjem Bailek^3,4,*, Alban Kuriqi^5,6, Nadhir Al-Ansari^7,*, Salah Hanini², Ilhami Colak⁸, Laith Abualigah^{9,10,11,12,13,14}, El-Sayed M. El-kenawy¹⁵

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2579-2594, 2023, DOI:10.32604/cmc.2023.040625 - 29 November 2023

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… More >

SUNG HEE LIM^1,#, HEE JIN CHO^1,2,3,#, KYOUNG-MEE KIM⁴, HO YEONG LIM¹, WON KI KANG¹, JEEYUN LEE¹, YOUNG SUK PARK¹, HEE CHEOL KIM^5,*, SEUNG TAE KIM^1,*

Oncology Research, Vol.31, No.6, pp. 855-866, 2023, DOI:10.32604/or.2023.030374 - 15 September 2023

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… More >