Multi-Branch Network with Multi-Feature Enhancement for Improving the Generalization of Facial Forgery Detection by Siyu Meng, Quange Tan, Qianli Zhou, Rong Wang

“…However, the existing detection methods primarily focus on identifying facial forgeries generated by generative adversarial networks; they may struggle to generalize when faced with novel forgery techniques like diffusion models. …”
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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

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Risk Factors and Prognostic Implications of Tumor‐Related Epilepsy in Diffuse Glioma Patients: A Real‐World Multicenter Study by Yao Xiao, Zhuang Nie, Jinsha Huang, Jie Zhao, Chengjun Dong, Yan Zou, Zikai Li, Bingqing Yan, Yue Hu, Fan Yang, Jong Woo Lee, Alexander P. Lin, Steven Tobochnik, Min Zhou, Ziqiao Lei

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General Local Reactive Boundary Condition for Dissolution and Precipitation Using the Lattice Boltzmann Method by J. Weinmiller, M. P. Lautenschlaeger, B. Kellers, T. Danner, A. Latz

“…Abstract A general and local reactive boundary condition (RBC) for studying first‐order equilibrium reactions using the lattice Boltzmann method is presented. …”
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Contaminant transport in the surf zone by David A. Chin

“…It is shown that the Longuet-Higgins model of surf-zone hydrodynamics adequately describes the distribution of longshore currents measured at the laboratory scale. …”
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Deep Learning Spinal Cord Segmentation Based on B0 Reference for Diffusion Tensor Imaging Analysis in Cervical Spondylotic Myelopathy by Shuoheng Yang, Ningbo Fei, Junpeng Li, Guangsheng Li, Yong Hu

“…To evaluate this method, 89 CSM patients from a single center were collected. The model demonstrated satisfactory accuracy for both general segmentation metrics (precision, recall, and Dice coefficient) and a DTI-specific feature index. …”
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Cost-utility and value of information analysis of tisagenlecleucel for relapsed/refractory diffuse large B-cell lymphoma in the Irish healthcare setting by Niamh Carey, Joy Leahy, Lea Trela-Larsen, Laura Mc Cullagh, Michael Barry

“…Survival was extrapolated to 5 years; general population mortality with a standardised mortality ratio was then applied. …”
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White matter tract differences in persistent post-traumatic headache, migraine, and healthy controls: a diffusion tensor imaging study by Rune Häckert Christensen, Haidar Muhsen Al-Khazali, Cédric Gollion, Basit Ali Chaudhry, Messoud Ashina, Håkan Ashina

“…Group comparisons used general linear models with threshold-free cluster enhancement and 5,000 permutations. …”
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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

“…Experimental results on three real datasets prove the efficiency and effectiveness of JLSG-Diffusion. Compared with the benchmark methods, the prediction model combined with JLSG-Diffusion shows better accuracy.…”
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Investigation of the evaporation in the boundary layer by R. P. Shpakovskii

“…The article analyzes the well-known classical solution of the diffusion equation according to the Hartnett - Eckert model and notes that the result obtained in this case does not correspond to the general case of evaporation, when the mass transfer in the gas phase also depends on the complex. …”
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A 6-tsRNA signature for early detection, treatment response monitoring, and prognosis prediction in diffuse large B cell lymphoma by Jun Rao, Lin Xia, Qiong Li, NaYa Ma, Xinlei Li, Jiali Li, Lidan Zhu, Pan Zhao, Yunjing Zeng, Sha Zhou, Huanping Guo, Shijia Lin, Song Dong, Shifeng Lou, Fangyi Fan, Jin Wei, Jiang F. Zhong, Li Gao, Shengwen Calvin Li, Xi Zhang

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Using the Transversal Admittance to Understand Organic Electrochemical Transistors by Juan Bisquert, Scott T. Keene

“…The derive a model that combines electronic motion along the channel and vertical ion diffusion by insertion from the electrolyte, depending on several features as the chemical capacitance, the diffusion coefficient of ions, and the electronic mobility. …”
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Investigation of double-diffusive mixed convective flow of water-based Brinkman-type hybrid nanofluid utilizing a fractal fractional approach by Ahmed M. Galal, Ali Raza, Umair Khan, Aurang Zaib, Anuar Ishak, Hami Gündoğdu, B. Alshahrani, Mona Mahmoud

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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Abstract By leveraging large-scale image-text paired data for pre-training, the model can efficiently learn the alignment between images and text, significantly advancing the development of zero-shot learning (ZSL) in the field of intelligent medical image analysis. …”
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Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. by Benjamin Simmonds, Maurice J Chacron

“…Through a network model incorporating key anatomical features of the ELL, we reveal how activation of diffuse parallel fiber feedback from granule cells by spatially diffuse stimulation can explain both the reduction in signal as well as the reduction in noise correlations seen experimentally through independent mechanisms. …”
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Effect of the blending and diffusion processes between aged and virgin asphalt on the low-temperature crack resistance of plant hot-mix recycled asphalt mixtures by Wensheng Tao, Yuquan Yao, Shunxin Yang

“…To investigate the influence of mixing process parameters and post-production time–temperature coupling on the blending and diffusion characteristics, as well as their impact on the low-temperature crack resistance of recycled asphalt mixtures, this study designed an AC-20 recycled asphalt mixture with 40% reclaimed asphalt pavement (RAP), and constructed an evaluation model to quantify the blending degree. …”
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Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors by Qizheng Wang, Yongye Chen, Guangjin Zhou, Tongyu Wang, Jingchao Fang, Ke Liu, Siyuan Qin, Weili Zhao, Dapeng Hao, Ning Lang

“…Fractal dimension (FD) was assessed in the three orthogonal directions and take maximum. Clinical and general imaging features were used to construct an alternative prognostic model for comparison. …”
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Path integral for multiplicative noise: Generalized Fokker-Planck equation  and entropy production rate in stochastic processes with threshold by F. S. Abril-Bermúdez, C. J. Quimbay, J. E. Trinidad-Segovia, M. A. Sánchez-Granero

“…To do so, the Itô diffusive process is generalized by incorporating a multiplicative noise term [η(t)] that affects the diffusive coefficient in the stochastic-differential equation. …”
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A diffusion tensor imaging-based multidimensional study of brain structural changes after long-term high-altitude exposure and their relationships with cognitive function by Ning Liu, Li Feng, Shuangwei Chai, Hailong Li, Yuanyuan He, Yongyue Guo, Xin Hu, Hengyan Li, Xiangwei Li, Zan Zhou, Xiaomei Li, Yonghong Huang, Wanlin He, Xiaoqi Huang, Xiaoqi Huang, Yunhong Wu, Jinli Meng

“…Two-sample t tests, Mann-Whitney U test, generalized linear model, or chi-square tests were used for statistical analysis.ResultsCompared with those individuals in the plain group, the scores on the PSQI, SDS, SAS, PHQ-9, and GAD-7 of individuals in the high-altitude group were higher, while the scores on the DST-Backwards, MoCA, and MMSE in the high-altitude group were lower. …”
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Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks by Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar, Arindam Biswas, Hiroaki Satoh, Gurudas Mandal, Vitaliy Maksimenko, Victor Krishtop

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