Performance of Large Language Models in Recognizing Brain MRI Sequences: A Comparative Analysis of ChatGPT-4o, Claude 4 Opus, and Gemini 2.5 Pro by Ali Salbas, Rasit Eren Buyuktoka

“…<b>Background/Objectives</b>: Multimodal large language models (LLMs) are increasingly used in radiology. However, their ability to recognize fundamental imaging features, including modality, anatomical region, imaging plane, contrast-enhancement status, and particularly specific magnetic resonance imaging (MRI) sequences, remains underexplored. …”
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Research on the Hydrodynamic Characteristics of a Rectangular Otter Board in Different Work Postures Based on a Dynamic Model by Wenhua Chu, Minghao Zhai, Senqi Cui, Yu Cao, Xinyang Zhang, Qiaoli Zhou

“…Compared with the other three working postures, the pressure center coefficient of the board does not change significantly when it is tilted inward. …”
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Psychometric evaluation of the Persian version of the adult chronic kidney disease self-management instrument in the Iranian population by Simin Alasvand, Mehrnaz Ahmadi, Hamid Sharif-Nia, Marziyeh Asadizaker

“…Results Following the completion of construct validity and factor analysis, a 15-item instrument with three key factors was identified: self-efficacy, ability to acquire knowledge and problem-solve, and knowledge. …”
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New LED lamp design with heat pipes by Demyd Pekur, Yurii Nikolaenko, Viktor Sorokin

“…Computer simulation allowed evaluating the ability of the proposed cooling system to provide a normal thermal mode of the LED light source. …”
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An investigation on the feasibility of using mixed Reversible ionic liquids for extraction of Kerogen from oil shale by Khalid Farhod Chasib

“…A comprehension of the systems phase behavior gives frameworks into the ability of separation.To our knowledge, the experimental information available in the literature for mixtures containing the pair Kerogen-Reversible Ionic Liquids (RevIL) is limited. …”
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Comprehensive evaluation and ranking of CMIP6 global climate models for simulating climate extreme indices across diverse hydrological and geographical regions of Nepal by Shiksha Bastola, Koshish Raj Maharjan, Innkyo Choo, Younghun Jung

“…Model performance was assessed using Kling–Gupta Efficiency, Correlation Coefficient, and Normalized RMSE. These metrics were aggregated into a single composite score (Utility Value), using an entropy weight method at the pixel level. …”
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Hand grip strength and associated factors among nurses in Birjand, Iran in 2022: A cross-sectional study by Farzane Vatani Moghaddam, Zeinab Saremi, Mohammad Hamed Hosseini

“…Background: Handgrip strength is a critical component of a nurse's ability to perform essential duties, including patient handling and the use of medical instruments. …”
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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network. by Tingting Wang, Tong Wu, Defu Yang, Ying Xu, Dongyang Lv, Tong Jiang, Hengjiao Wang, Qi Chen, Shengnan Xu, Ying Yan, Baoguang Lin

“…Secondly, in order to enhance the perception ability of the network to different scale features, we introduce the space pyramid pool module. …”
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Deep Learning-Based Brain Tumor Segmentation in MRI Images: A MobileNetV2-DeepLabV3+ Approach by Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini

“…The model achieved an average dice similarity coefficient of 0.938 and a global accuracy of 0.997. …”
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Development and assessment of a nutrition literacy scale for patients with end-stage kidney disease undergoing dialysis and its correlation with quality of life by Zhen Li, Tao Zhen, Yong Zhao, Jianbin Zhang

“…The overall Cronbach’s α coefficient of the scale was 0.83, the dimensional Cronbach’s α coefficients ranged from 0.79 to 0.87, and the retest reliability was r = 0.73 (p < 0.05). …”
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Miniaturized, wideband and high isolation compact MIMO antenna by Yan WANG, Li’an BIAN, Shu XIE, Qi ZHANG, Gaosheng LI

“…ConclusionOn the basis of miniaturization, the MIMO antenna can cover a wide frequency band and has a high degree of isolation, strong anti-interference ability and high channel capacity, enabling it to be widely used in shipborne wireless communication equipment.…”
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Comparative study on boundary lubrication of Ti3C2T x MXene and graphene oxide in water by Wei Sun, Qingrui Song, Kun Liu, Qing Zhang, Zhensheng Tao, Jiaxin Ye

“…We further hypothesized that the high lubricity of GO/MXene results from the synergy of GO’s high adhesiveness, MXene’s load support ability, and the low shear strength of both constituents. …”
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Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning model by Sadra Shadkani, Yousef Hemmatzadeh, Amirreza Pak, Soroush Abolfathi

“…Six input scenarios incorporating lagged parameters were evaluated using performance metrics, including the correlation coefficient (CC), Nash–Sutcliffe efficiency (NSE), scatter index (SI), and Willmott’s index (WI). …”
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Extreme precipitation simulation capability of CMIP6 models and their future spatiotemporal evolution: Case study in Poyang Lake Basin, China by Yinxin Ge, Shanghong Zhang, Weiyi Zhou, Linyang Zhao, Qingqing Fang

“…Study focus: This research evaluates the spatiotemporal simulation ability of extreme precipitation (intensity, frequency, and duration) in the Poyang Lake Basin using global climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). …”
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Exploring the structural validity and reliability of the swimming competence assessment scale in college students by Miao Zhao, Cheng Chen, Peng Ning, Bo Wei Zhang, Yupeng Shen

“…The inter-rater reliability (IRR = 0.542) and Cronbach’s alpha (α = 0.840, α = 0.827) coefficient results have demonstrated the internal reliability of the SACS. …”
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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

“…The integrated model attained an R² of 0.925 for permeability coefficient prediction (MSE = 0.769, MAE = 0.623), and for compressive strength prediction, it reached an R² of 0.928 (MSE = 1.570, MAE = 0.910). …”
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Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…The ANN model, with its ability to handle non-linear interactions, significantly outperformed traditional methods, achieving the highest Coefficient of Determination (R2 = 0.96) and the lowest Root Mean Squared Error (RMSE = 2.82 MPa). …”
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Enhancing thermal performance of two-phase closed thermosyphons by inhibiting geyser boiling: Synergistic effects of carbon nanotube nanofluids by Seungyeop Baek, Cheol Park, Seunghyeon Lee, Yonmo Sung

“…Two-phase closed thermosyphons (TPCTs) are passive heat transfer devices utilized in various applications owing to their simple, effective heat transfer ability. However, their thermal performance and structural integrity are undermined by aspects such as temperature fluctuations associated with geyser boiling. …”
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Validation and accuracy of the Hyfe cough monitoring system: a multicenter clinical study by Carlos Chaccour, Isabel Sánchez-Olivieri, Sarah Siegel, Gina Megson, Kevin L. Winthrop, Juan Berto Botella, Juan P. de-Torres, Lola Jover, Joe Brew, George Kafentzis, Mindaugas Galvosas, Matthew Rudd, Peter Small

“…Abstract Background: The ability to passively and continuously monitor coughing for prolonged periods of time would significantly improve cough management and research. …”
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Novel logic mining incorporating log linear approach by Siti Zulaikha Mohd Jamaludin, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin, Aslina Baharum, Mohd. Asyraf Mansor, Muhammad Fadhil Marsani

“…By using DHNN, the selected attributes via log-linear will be learned and retrieved the optimal induced logic with classification ability. The proposed hybrid model has been tested using various real-life datasets and was compared with several established logic mining methods. …”
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