Simona-Vasilica Oprea^*, Adela Bâra

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3827-3853, 2024, DOI:10.32604/cmc.2024.051598

Abstract The potential of text analytics is revealed by Machine Learning (ML) and Natural Language Processing (NLP) techniques. In this paper, we propose an NLP framework that is applied to multiple datasets to detect malicious Uniform Resource Locators (URLs). Three categories of features, both ML and Deep Learning (DL) algorithms and a ranking schema are included in the proposed framework. We apply frequency and prediction-based embeddings, such as hash vectorizer, Term Frequency-Inverse Dense Frequency (TF-IDF) and predictors, word to vector-word2vec (continuous bag of words, skip-gram) from Google, to extract features from text. Further, we apply more… More >

YUANYUAN LIAO^1,2,3, XINSI LI^2,3, QIAN LI^2,3, YIZHONG WANG⁴, XIUJUN TAN^1,2,3, TING GONG^2,3,5,*

BIOCELL, Vol.48, No.6, pp. 873-887, 2024, DOI:10.32604/biocell.2024.050324

Abstract As we are facing an aging society, anti-aging strategies have been pursued to reduce the negative impacts of aging and increase the health span of human beings. Gut microbiota has become a key factor in the anti-aging process. Modulation of gut microbiota by fecal microbiota transplantation (FMT) to prevent frailty and unhealthy aging has been a hot topic of research. This narrative review summarizes the benefits of FMT for health span and lifespan, brains, eyes, productive systems, bones, and others. The mechanisms of FMT in improving healthy aging are discussed. The increased beneficial bacteria and More >

Yi Tu^1,*, Yuan Wu², Yu Zeng³

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 989-1014, 2024, DOI:10.32604/fdmp.2024.045624

Abstract The formation of ice on the leading edge of aircraft engines is a serious issue, as it can have catastrophic consequences. The Swirl Anti-Icing (SAI) system, driven by ejection, circulates hot fluid within a 360° annular chamber to heat the engine inlet lip surface and prevent icing. This study employs a validated Computational Fluid Dynamics (CFD) approach to study the impact of key geometric parameters of this system on flow and heat transfer characteristics within the anti-icing chamber. Additionally, the entropy generation rate and exergy efficiency are analyzed to assess the energy utilization in the… More >

Jiahao Su^*, Meiqin Cai^*, Wensheng Li^*, Bo Hou^†, Haiyong He^†, Cong Ling^†,Tengchao Huang^†, Huijiao Liu^†, Ying Guo^*

Oncology Research, Vol.24, No.2, pp. 117-128, 2016, DOI:10.3727/096504016X14612603423511

Abstract Glioblastoma (GBM) is the most common primary malignant brain tumor that nearly always results in a bad prognosis. Temozolomide plus radiotherapy (TEM+RAD) is the most common treatment for newly diagnosed GBM. With the development of molecularly targeted drugs, several clinical trials were reported; however, the efficacy of the treatment remains controversial. So we attempted to measure the dose of the molecularly targeted drug that could improve the prognosis of those patients. The appropriate electronic databases (PubMed, MEDLINE, EMBASE, and the Cochrane Library) were searched for relevant studies. A meta-analysis was performed after determining which studies… More >

Guanling Chen¹, Zhaoze Guo¹, Minfeng Liu, Guangyu Yao, Jianyu Dong, Jingyun Guo, Changsheng Ye

Oncology Research, Vol.25, No.9, pp. 1567-1578, 2017, DOI:10.3727/096504017X14897173032733

Abstract Capecitabine has consistently demonstrated high efficacy and acceptable tolerability in salvage chemotherapy for advanced breast cancer. However, there remains no consensus on its role in adjuvant chemotherapy for early breast cancer (EBC). To estimate the value of capecitabine-based combination adjuvant treatment in EBC, eight randomized controlled trials with 14,072 participants were analyzed. The efficacy and safety outcomes included disease-free survival (DFS), overall survival (OS), relapse, breast cancer-specific survival (BCSS), and grades 3–5 adverse events. Capecitabine-based combination adjuvant chemotherapy demonstrated a 16% increase in BCSS (HR = 0.84, 95% CI = 0.71–0.98, p = 0.03) in the… More >

Roberta Milani^*, Eleonora Brognara^*, Enrica Fabbri^*, Alessia Finotti^*, Monica Borgatti^*, Ilaria Lampronti^*, Giovanni Marzaro^†, Adriana Chilin^†, Kenneth Ka-Ho Lee^‡, Stanton Hon-Lung Kok^‡, Chung-Hin Chui^§, Roberto Gambari^*

Oncology Research, Vol.26, No.9, pp. 1307-1315, 2018, DOI:10.3727/096504017X14928634401187

Abstract Glioblastoma multiforme (GBM), a malignant tumor of the central nervous system, has a high mortality rate. No curative treatment is presently available, and the most commonly used chemotherapeutic drug, the alkylating agent temozolomide (TMZ), is only able to increase life expectancy and is often associated with drug resistance. Therefore, an urgent need does exist for novel drugs aimed at treating gliomas. In the present study, we obtained three major results using corilagin: (a) demonstrated that it inhibits the growth of U251 glioma cells through activation of the apoptotic pathway; (b) demonstrated that it is also More >

Atsushi Fujiwara^*, Masamichi Yoshida^*, Hajime Fujimoto^†, Hiroki Nakahara^†, Kentaro Ito^‡, Kota Nishihama^§, Taro Yasuma^§, Osamu Hataji^‡, Osamu Taguchi^¶, Corina N. D’Alessandro-Gabazza^§, Esteban C. Gabazza^§, Tetsu Kobayashi^†

Oncology Research, Vol.26, No.7, pp. 1031-1036, 2018, DOI:10.3727/096504018X15151523767752

Abstract Tyrosine kinase inhibitors (TKIs) are very effective against non-small cell lung cancer (NSCLC) caused by epidermal growth factor receptor (EGFR) mutation. Before the approval of osimertinib in March 2016, there were only three available EGFR TKIs (gefitinib, erlotinib, and afatinib) for the therapy of NSCLC in Japan. Osimertinib can be indicated only against T790M⁺ lung cancer as a second-line therapy. However, whether gefitinib, erlotinib, or afatinib is most appropriate as a first-line therapy is still a controversial issue. The aim of this study was to compare the effectiveness of gefitinib, erlotinib, and afatinib. We retrospectively reviewed… More >

Ilias Kainis^*, Nikolaos Syrigos^*, Alexandra Kopitopoulou^*, Ioannis Gkiozos^*, Effrosyni Filiou^*, Vasiliki Nikolaou^*, Evangelia Papadavid^†

Oncology Research, Vol.26, No.1, pp. 59-69, 2018, DOI:10.3727/096504017X14913452320194

Abstract Systematic treatment of advanced non-small cell lung cancer (NSCLC) includes targeted treatment with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). The development of skin rash and its intensity have been associated with EGFR TKI’s efficacy. The main purpose of this study was to further investigate the potential value of erlotinib-associated rash as a predictor of prognosis and treatment response in a real-world cohort of patients with advanced NSCLC. The medical records of all NSCLC patients treated with erlotinib at the Oncology Unit of GPP, Sotiria Athens General Hospital between January 1, 2014 and… More >

Arya Sobhakumari^*1, Kevin P. Orcutt^†‡1, Laurie Love-Homan^§, Christopher E. Kowalski^†‡, Arlene D. Parsons^†, C. Michael Knudson^†‡§¶, Andrean L. Simons^*†‡§¶

Oncology Research, Vol.24, No.1, pp. 55-64, 2016, DOI:10.3727/096504016X14586627440192

Abstract Poor tumor response to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) is a significant challenge for effective treatment of head and neck squamous cell carcinoma (HNSCC). Therefore, strategies that may increase tumor response to EGFR TKIs are warranted in order to improve HNSCC patient treatment and overall survival. HNSCC tumors are highly glycolytic, and increased EGFR signaling has been found to promote glucose metabolism through various mechanisms. We have previously shown that inhibition of glycolysis with 2-deoxy-d-glucose (2DG) significantly enhanced the antitumor effects of cisplatin and radiation, which are commonly used to treat… More >

Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Wilbur L. Walters, Khalid H. Abed^*

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 337-352, 2024, DOI:10.32604/iasc.2024.047017

Abstract Multi-Agent Reinforcement Learning (MARL) has proven to be successful in cooperative assignments. MARL is used to investigate how autonomous agents with the same interests can connect and act in one team. MARL cooperation scenarios are explored in recreational cooperative augmented reality environments, as well as real-world scenarios in robotics. In this paper, we explore the realm of MARL and its potential applications in cooperative assignments. Our focus is on developing a multi-agent system that can collaborate to attack or defend against enemies and achieve victory with minimal damage. To accomplish this, we utilize the StarCraft… More >