Himadri Nath Saha¹, Dipanwita Chakraborty Bhattacharya^2,*, Sancharita Dutta³, Arnab Bera³, Srutorshi Basuray⁴, Satyasaran Changdar⁵, Saptarshi Banerjee⁶, Jon Turdiev⁷

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-56, 2026, DOI:10.32604/cmc.2025.070507 - 09 December 2025

Abstract The emergence of Medical Large Language Models has significantly transformed healthcare. Medical Large Language Models (Med-LLMs) serve as transformative tools that enhance clinical practice through applications in decision support, documentation, and diagnostics. This evaluation examines the performance of leading Med-LLMs, including GPT-4Med, Med-PaLM, MEDITRON, PubMedGPT, and MedAlpaca, across diverse medical datasets. It provides graphical comparisons of their effectiveness in distinct healthcare domains. The study introduces a domain-specific categorization system that aligns these models with optimal applications in clinical decision-making, documentation, drug discovery, research, patient interaction, and public health. The paper addresses deployment challenges of Medical-LLMs, More >

Qiuru Fu¹, Shumao Zhang¹, Shuang Zhou¹, Jie Xu^1,*, Changming Zhao², Shanchao Li³, Du Xu^1,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070493 - 09 December 2025

Abstract Knowledge graphs often suffer from sparsity and incompleteness. Knowledge graph reasoning is an effective way to address these issues. Unlike static knowledge graph reasoning, which is invariant over time, dynamic knowledge graph reasoning is more challenging due to its temporal nature. In essence, within each time step in a dynamic knowledge graph, there exists structural dependencies among entities and relations, whereas between adjacent time steps, there exists temporal continuity. Based on these structural and temporal characteristics, we propose a model named “DKGR-DR” to learn distributed representations of entities and relations by combining recurrent neural networks More >

Zheyuan Jia, Fenglin Jin^*, Jun Xie, Yuan He

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-15, 2026, DOI:10.32604/cmc.2025.069128 - 10 November 2025

Abstract This paper investigates the traffic offloading optimization challenge in Space-Air-Ground Integrated Networks (SAGIN) through a novel Recursive Multi-Agent Proximal Policy Optimization (RMAPPO) algorithm. The exponential growth of mobile devices and data traffic has substantially increased network congestion, particularly in urban areas and regions with limited terrestrial infrastructure. Our approach jointly optimizes unmanned aerial vehicle (UAV) trajectories and satellite-assisted offloading strategies to simultaneously maximize data throughput, minimize energy consumption, and maintain equitable resource distribution. The proposed RMAPPO framework incorporates recurrent neural networks (RNNs) to model temporal dependencies in UAV mobility patterns and utilizes a decentralized multi-agent More >

Xingkang Jiang^*, Jing Tian, Yong Xu

Canadian Journal of Urology, Vol.32, No.6, pp. 539-540, 2025, DOI:10.32604/cju.2025.073363 - 30 December 2025

Abstract This article has no abstract. More >

Charles H. Schlaepfer¹, Zubin Shetty¹, Vignesh T. Packiam¹, Chad R. Tracy¹, Elizabeth B. Takacs¹, Ruslan Korets², Ryan L. Steinberg^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 643-649, 2025, DOI:10.32604/cju.2025.064818 - 30 December 2025

Abstract Introduction: Point-of-care ultrasound (POCUS) is a valuable tool for clinicians, but little data exists regarding the perceptions of ideal POCUS utilization, as compared to actual use, amongst urologists. We aim to assess how perceptions align or diverge with actual practice. Methods: An institutional review board (IRB)-approved survey was developed and disseminated by email to 6 of 8 American Urologic Association Sections, program directors via the Society of Academic Urologists, and to 2 residency programs. The primary outcome was to assess differences in current and perceived optimal use. Data was collected via the University of Iowa… More >

Ilhong Son^1,2, Sun Jung Han², Dong Hwan Ho^1,3,*

BIOCELL, Vol.49, No.12, pp. 2283-2297, 2025, DOI:10.32604/biocell.2025.071119 - 24 December 2025

Abstract The potential of urinary biomarkers to facilitate non-invasive monitoring of Parkinson’s disease (PD) is a promising avenue, offering insights into the complex pathophysiology of the disease. The aggregation of α-synuclein, a central feature of PD, can be detected in urine, providing a diagnostic clue. Mutations in the LRRK2 gene, associated with increased kinase activity, can be estimated through the measurement of phosphorylated LRRK2 (pS1292) in urine. Oxidative stress, a hallmark of PD, is reflected in elevated levels of oxidized DJ-1 (oxDJ-1) in urine. Beyond these core biomarkers, other urinary components like DOPA decarboxylase, acetyl phenylalanine, More >

Zheng Yin, Zhao Zhang^*

Journal on Artificial Intelligence, Vol.7, pp. 633-645, 2025, DOI:10.32604/jai.2025.074450 - 24 December 2025

Abstract Power load forecasting load forecasting is a core task in power system scheduling, operation, and planning. To enhance forecasting performance, this paper proposes a dual-input deep learning model that integrates Convolutional Neural Networks, Gated Recurrent Units, and a self-attention mechanism. Based on standardized data cleaning and normalization, the method performs convolutional feature extraction and recurrent modeling on load and meteorological time series separately. The self-attention mechanism is then applied to assign weights to key time steps, after which the two feature streams are flattened and concatenated. Finally, a fully connected layer is used to generate More >

F. A. Giyasova^a, M. A. Yuldoshev^b,d,*

Chalcogenide Letters, Vol.22, No.2, pp. 123-129, 2025, DOI:10.15251/CL.2025.222.123

Abstract The paper briefly describes the methodology for studying the temporal characteristics of near-IR photodiode structures under the influence of pulsed radiation from a semiconductor laser with a wavelength of 1100 and 1320 nm. The results of studying the response time of multilayer photosensitive Au-nCdS-nSi-pCdTe-Au and Au-nInP-nCdSνGaAs:O-Au structures with potential barriers are presented. It has been experimentally shown that the structures under study are not inferior in response time to known analogs based on gallium arsenide and silicon heterostructures, and can also be used in a wide optical range. More >

G. R. Štrbac^a,*, O. Bošák^b, D. Štrbac^c, R. Vigi^a, M. Kubliha^b, S. Minárik^b

Chalcogenide Letters, Vol.22, No.5, pp. 481-491, 2025, DOI:10.15251/CL.2025.225.481

Abstract The temperature dependence of direct current (DC) conductivity, silver content, and the presence of crystalline phases in amorphous and annealed chalcogenides from the Ag_x(As₂(Te_0.5Se_0.5)₃)_100-x system was investigated. Amorphous samples exhibited semiconducting behavior, with conductivity increase as the silver content raised. This increase was primarily attributed to electron transitions into delocalized states from states localized near the Fermi level. Percolation behavior in conductivity was observed in the samples containing 7 at.% or more silver. For annealed samples with silver content below 9 at.%, temperature-independent DC conductivity was identified, accompanied by a decrease in conductivity as the silver More >

Khanh Toan Nguyen^1,*, Thi Huong Pham^1,2, Van Lam Ngo¹, Thi Thuy My Nguyen¹, Thi Dao Nguyen¹, Khanh Hung Truong¹, Van Nhat Nguyen¹, Van Thanh Le¹, Ba Duc Ho¹, Thi Phuong Thao Nguyen¹, Thi Ha Phuong Nguyen¹, Thi My Linh Dinh¹, Thi Hong Anh Vo¹, Thi Thuy Phan¹, Thi Hai Yen Le¹, Thi Nhung Ngo¹, Khanh Ha Nguyen¹

Oncology Research, Vol.33, No.12, pp. 4013-4028, 2025, DOI:10.32604/or.2025.069281 - 27 November 2025

Abstract Objective: Patients with stage III non-small cell lung cancer (NSCLC) present with a heterogeneous disease profile and often require multifaceted treatment strategies. This research aimed to investigate the demographic features, therapeutic patterns, and survival outcomes of such patients in Vietnam. Methods: A retrospective descriptive study was conducted on 731 patients diagnosed with stage III NSCLC American Joint Committee on Cancer (AJCC) 8th edition, at Nghe An Oncology Hospital from January 2018 to August 2024. Descriptive statistics summarized baseline and treatment characteristics. We calculated progression-free survival (PFS) and overall survival (OS) through the Kaplan–Meier approach and… More >