Giacomo Iovane^1,*, Luca Traman², Michele Maffezzoli^1,3, Giuseppe Fornarini², Domenico Corradi⁴, Debora Guareschi⁴, Matteo Santoni^5,#, Sebastiano Buti^1,#

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070523 - 30 December 2025

Abstract Background: While the treatment of metastatic renal cell carcinoma (mRCC) is evolving due to immune checkpoint inhibitors (ICIs), optimal strategies for later lines of therapy have yet to be defined. The combination of lenvatinib and everolimus represents a viable option, and the present review aimed to summarize its activity, effectiveness, and safety. Methods: A systematic review of the literature was conducted using PubMed, targeting studies published between 2018 and 2025. Eligible studies included English-language prospective and retrospective trials reporting survival outcomes in mRCC patients treated with lenvatinib and everolimus after at least one ICI-containing regimen. Results:… More > Graphic Abstract

Longyue Li¹, Guoqing Zhang¹, Bo Cao¹, Shuqi Wang², Ye Tian^1,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-26, 2026, DOI:10.32604/cmc.2025.070622 - 09 December 2025

Abstract Modern battlefields exhibit high dynamism, where traditional static weighting methods in combat effectiveness assessment fail to capture real-time changes in indicator values, leading to limited assessment accuracy—especially critical in scenarios like sudden electronic warfare or degraded command, where static weights cannot reflect the operational value decay or surge of key indicators. To address this issue, this study proposes a dynamic adaptive weighting method for evaluation indicators based on G1-CRITIC-PIVW. First, the G1 (Sequential Relationship Analysis Method) subjective weighting method—translates expert knowledge into indicator importance rankings—leverages expert knowledge to quantify the relative importance of indicators via… More >

Hyein Jeong¹, Soobin Jang², Bo-Hyoung Jang¹, Chunhoo Cheon¹, Taek Gyu Kim³, Chan Ho Ju³, Hwimun Kim⁴, Su Yong Shin⁵, Kyeong Han Kim^6,*, Seong-Gyu Ko^1,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1695-1708, 2025, DOI:10.32604/ijmhp.2025.071014 - 28 November 2025

Abstract Objectives: This study aimed to evaluate the clinical effectiveness, durability, and acceptability of a Korean medicine-based online mental health self-care program for mothers. Methods: This non-randomized comparative study evaluated the clinical effectiveness, durability, and acceptability of a Korean medicine-based online mental health self-care program for mothers. Group 1 (regular version) included 120 participants who attended one live session per week for 5 weeks, while Group 2 (shortened version) included 30 participants who completed five recorded sessions within 1 week. A total of 112 participants (93.3%) in Group 1 and all 30 participants (100%) in Group 2… More >

Burak Canpolat^1,*, Göktuğ Norman², Cemal Gündoğdu², Şakir Tüfekçi², Yalın Aygün², Taylan Akbuğa³

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1781-1795, 2025, DOI:10.32604/ijmhp.2025.069852 - 28 November 2025

Abstract Objectives: This study examines the effectiveness of an eight-week game-based physical activity program designed to reduce post-traumatic stress levels in children affected by the Kahramanmaraş-centered earthquakes that occurred in Turkey on 06 February 2023. Following the earthquake, millions of children experienced significant changes in their education and living conditions, adversely affecting their psychological health. Methods: The therapeutic effects of physical activity on post-traumatic stress disorder (PTSD) are frequently emphasized in the literature, and this study specifically focuses on the impact of game-based exercises. The research employed an experimental design, involving 80 earthquake-affected children aged 10 to… More >

Jungpil Shin^1,*, Wahidur Rahman², Tanvir Ahmed², Bakhtiar Mazrur², Md. Mohsin Mia², Romana Idress Ekfa², Md. Sajib Rana², Pankoo Kim^3,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4105-4153, 2025, DOI:10.32604/cmc.2025.066910 - 30 July 2025

Abstract Sentiment Analysis, a significant domain within Natural Language Processing (NLP), focuses on extracting and interpreting subjective information—such as emotions, opinions, and attitudes—from textual data. With the increasing volume of user-generated content on social media and digital platforms, sentiment analysis has become essential for deriving actionable insights across various sectors. This study presents a systematic literature review of sentiment analysis methodologies, encompassing traditional machine learning algorithms, lexicon-based approaches, and recent advancements in deep learning techniques. The review follows a structured protocol comprising three phases: planning, execution, and analysis/reporting. During the execution phase, 67 peer-reviewed articles were More >

Roasi A. Flayh^*, Ayser Muneer Flayh

Energy Engineering, Vol.122, No.7, pp. 2801-2818, 2025, DOI:10.32604/ee.2025.062916 - 27 June 2025

Abstract Double pipe heat exchangers (DPHEs) are normally utilized in various manufacturing uses owing to their simple design and low maintenance requirements. For that, performance enhancement by improved heat transfer is ongoing. Air injections are a good strategy for enhancing the thermal performance of the DPHE. In the present work, the influence of air bubble injection in a DPHE was experimentally investigated, and the system’s hydrothermal performance improvement parameters were evaluated. Two modes were designed, manufactured, and used to conduct the experiments. The first mode was conducted with no air injection, named a single phase mode,… More >

Mostafa Ahmed Arafa^1,2, Karim Hamda Farhat^1,*, Nesma Lotfy³, Farrukh Kamel Khan¹, Alaa Mokhtar⁴, Abdulaziz Mohammed Althunayan¹, Waleed Al-Taweel⁴, Sultan Saud Al-Khateeb⁴, Sami Azhari^1,5, Danny Munther Rabah^1,4

Canadian Journal of Urology, Vol.32, No.3, pp. 173-180, 2025, DOI:10.32604/cju.2025.066016 - 27 June 2025

Abstract Background: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosing prostate cancer. However, their comparative effectiveness in conjunction with machine learning (ML) techniques remains underexplored. This study aimed to evaluate the predictive accuracy of ML algorithms in detecting prostate cancer using data derived from TR and TP biopsies. Methods: The clinical records of patients who underwent prostate biopsy at King Saud University Medical City and King Faisal Specialist Hospital and Research Centerin Riyadh, Saudi Arabia, between 2018 and 2025 were analyzed. Data were used to train and test ML models, including eXtreme… More >

Demirhan Örsan Demir^1,*, Yusuf Gökkurt¹, Salih Bürlükkara², Turgay Kaçan¹, Ali Kaan Yıldız¹, Ufuk Bozkurt², Tolga Karakan¹

Canadian Journal of Urology, Vol.32, No.2, pp. 111-118, 2025, DOI:10.32604/cju.2025.063970 - 30 April 2025

Abstract Introduction: Surgeons typically prefer 270 µm and 272 µm laser probes in retrograde intrarenal surgery (RIRS) due to the reduced deflection capacity of flexible ureterorenoscopes when using larger probe diameters. This study aims to investigate the effects of 272 and 365 µm holmium laser probes on operative time, clinical efficacy, and complication rates in RIRS. Materials and Methods: A total of 285 patients with proximal ureteral or kidney stones who met the inclusion criteria were enrolled in the study. Patients were divided into two groups based on laser probe thickness: 272 µm and 365 µm. Stone-free… More >

Antonio Romero-Moreno^1,2, Lorenzo Rodríguez-Riesco^1,2, Isaac Lavi¹, Serafín Cruces-Montes^1,2,*

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 125-136, 2025, DOI:10.32604/ijmhp.2025.059526 - 03 March 2025

Abstract Background: Research on therapeutic processes has explored the elements that enhance psychotherapy’s effectiveness, particularly the role of common factors across various models. The therapist’s use of directiveness and support, as common variables, is crucial for effective treatment. Effective therapists adapt their level of directiveness and support according to the treatment phase, the issue being addressed, and the patient’s characteristics. This study examines the importance therapists attribute to directiveness and support, as well as its relationship with theoretical orientation, access to research publications, and stance on the similar effectiveness of different psychotherapeutic models. It aims to… More >

Omer Nabeel Dara^1,*, Tareq Abed Mohammed², Abdullahi Abdu Ibrahim¹

Intelligent Automation & Soft Computing, Vol.39, No.6, pp. 1007-1033, 2024, DOI:10.32604/iasc.2024.058736 - 30 December 2024

Abstract Healthcare polypharmacy is routinely used to treat numerous conditions; however, it often leads to unanticipated bad consequences owing to complicated medication interactions. This paper provides a graph convolutional network (GCN)-based model for identifying adverse effects in polypharmacy by integrating pharmaceutical data from electronic health records (EHR). The GCN framework analyzes the complicated links between drugs to forecast the possibility of harmful drug interactions. Experimental assessments reveal that the proposed GCN model surpasses existing machine learning approaches, reaching an accuracy (ACC) of 91%, an area under the receiver operating characteristic curve (AUC) of 0.88, and an More >