Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis by Si-Wa Chan, Chun-An Lin, Yen-Chieh Ouyang, Guan-Yuan Chen, Chein-I Chang, Chin-Yao Lin, Chih-Chiang Hung, Chih-Yean Lum, Kuo-Chung Wang, Ming-Cheng Liu

“…Evaluation using 3D-ROC analysis also indicated that the DNN was the best detector based on metrics like target detection rate and overall effectiveness. The DNN model further exhibited the capability to identify tumor heterogeneity, differentiating high- and low-cellularity regions. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Effect of maize-soybean intercropping on quality of vegetable soybean by FANG Ping, LIU Weiguo, LIU Xiaode, LIU Ting, CHI Xiaoyu, XU Yan, PANG Ting, PENG Xiao, CAI Ling, YANG Wenyu

“…Because the appearance quality of vegetable soybean is affected by cropping pattern and the nutrition are affected by pattern and variety, we should screen out well adaptability and good quality varieties. …”
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Functional Reproductive and Developmental Traits Differences Between Two Macrocystis Ecomorphs: Importance of Neutral Lipids by Camilo Rodríguez‐Villegas, Alejandro H. Buschmann, Mayra A. Barrios, Sandra Pereda, Carolina Camus, Pamela Fernández, María C. Hérnandez‐González, Ángela M. Baldrich, Cynthia Urrutia, Ailen M. Poza, Karina Villegas, Camila Martínez, Jaime Vargas

“…Further, we have seen a highly consistent pattern of a higher zoospore production, germination rate, sexual reproductive success, and early developmental performance (growth and survival) of juvenile sporophytes of “pyrifera” compared to “integrifolia.” …”
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In2Se3 Synthesized by the FWF Method for Neuromorphic Computing by Jaeho Shin, Jingon Jang, Chi Hun Choi, Jaegyu Kim, Lucas Eddy, Phelecia Scotland, Lane W. Martin, Yimo Han, James M. Tour

“…By modulating the degree of polarization in α‐In2Se3 flakes according to the gate electrical pulses, these devices exhibit distinct essential synaptic behaviors. …”
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Perceptions of using herbal medicines for managing menopausal symptoms: a web-based survey of Korean medicine doctors by Ji Hee Jun, Hye Won Lee, Jiae Choi, Tae-Young Choi, Ju Ah Lee, Ho-Yeon Go, Myeong Soo Lee

“…Results: Out of the 497 KMDs, we received responses from 48 doctors, a response rate of 9.7%. The most common symptoms of menopausal disorder perceived by responded KMDs were hot flashes (22.9%), sleep disorders (18.2%), systemic fatigue (12.5%), and sweating (12.0%). …”
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Estimating Future Surface Water Availability Through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios by Manqing Shao, Nelun Fernando, John Zhu, Gang Zhao, Shih‐Chieh Kao, Bingjie Zhao, Elizabeth Roberts, Huilin Gao

“…Finally, the DHSVM simulated naturalized streamflow and reservoir evaporation rate are input to WAM to simulate reservoir FY. A new term—“Ratio of Firm Yield” (RFY)—is created to compare how much FY changes under different climate scenarios. …”
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Annual variation of temperature and mass balance of first-year and second-year land-fast sea ice in Prydz Bay, East Antarctica by Dinglong Zhao, Bin Cheng, Matti Leppäranta, Jingkai Ma, Xuejing Chen, Jiechen Zhao

“…The evolution of the temperature and mass balance of first-year (FYI: Site S1) and second-year (SYI: Site S2) land-fast sea ice (LFSI) in May–November were investigated using high-resolution thermistor-string-based ice mass balance buoys, borehole measurements and a numerical sea ice model. In May, the growth rate of a 0.55 m FYI ice floe (9.2 mm day−1) was twice that of 1.08 m SYI (4.7 mm day−1) in snow-free conditions. …”
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Transarterial chemoembolization for advanced hepatocellular carcinoma after failure of first-line systemic treatment: a single-center case series by Qingyu Xu, Bin Leng, Ran You, Lingfeng Diao, Chendong Wang, Zeyu Yu, Guowen Yin

“…The most common progression pattern was the development of new intrahepatic lesions. …”
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Simultaneous Observation of Equatorial Plasma Bubbles and Traveling Ionospheric Disturbances Over Indonesia Following the 15 January 2022 Tonga Volcano Eruption by Asnawi Husin, Varuliantor Dear, Agri Faturahman, Sefria Anggarani, Annis Siradj Mardiani, Adi Purwono, Jiyo Harjosuwito, Rezy Pradipta

“…There were enhancements in the rate‐of‐TEC index (ROTI) and S4 scintillation index, indicating the presence of ionospheric density irregularities. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Progressive subcortical involvement as spinocerebellar ataxia type 3 advances by Pubing Yuan, Yonghua Huang, Minghui Dai, Xin Jin, Dingxin Zheng, Die Xiao, Lihua Deng, Peiling Ou, Linfeng Shi, Yifan Chen, Jian Wang, Wei Chen, Yuanchao Zhang, Chen Liu

“…Moreover, the localized shape changes of subcortical structures correlated bidirectionally with clinical measurements including the length of CAG repeats within the ATXN3 gene, the scores on the scale of the assessment, the rating of ataxia, the instrumental activities of daily living scale, and the mini-mental state examination. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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INFECTIONS IN THE INTENSIVE CARE UNIT FOLLOWING LIVER TRANSPLANTATION: PROFILE OF A SINGLE CENTER by E. Otan, S. Usta, C. Aydin, S. Karakas, B. Unal, R. Mamedov, C. Kayaalp, S. Yilmaz

“…Total number of infections were 68. Mortality rate of the infected patients was 53,3% (n = 16). …”
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The Stabilization Mechanism of a Stable Landslide Dam on the Eastern Margin of the Tibetan Plateau, China: Insights from Field Investigation and Numerical Simulation by Liang Song, Yanjun Shang, Yunsheng Wang, Tong Li, Zhuolin Xiao, Yuchao Zhao, Tao Tang, Shicheng Liu

“…Additionally, the step-pool system formed in the spillway of the Conaxue Co landslide dam contributes to the protection of the dam structure by dissipating 68% of the river’s energy (energy dissipation rate η = 0.68). Understanding the formation mechanisms of the Conaxue Co landslide dam can provide critical insights into managing future landslide dams that may form in the QTP, both in emergency response and long-term strategies.…”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…This device tracks changes in the infant’s motion, skin colour, and breathing patterns; this is done through a PPG sensor strapped either on the belly or chest of an infant, logging information on heart functioning. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Outcomes of different steroid dosing regimens in critical Covid-19 pneumonia at a Kenyan hospital: A retrospective cohort study. by John Otieno Odhiambo, Jasmit Shah, Nancy Kunyiha, Charles Makasa, Felix Riunga

“…Fifty-eight percent of patients received a standard dose (6mg) of steroids. The mortality rate was higher in the high-dose group compared to the standard-dose group; however, the difference was not statistically significant (47.9% vs 43.7% p = 0.549). …”
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