Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slid... by Eli Pikarsky, Anna Elia, Gal Dinstag, Omer Tirosh, Tuvik Beker, Ranit Aharonov, Hovav Nechushtan, Leon Gugel, Yaron Kinar, Michael Tabi, Tzivia Gottlieb, Aron Popovtzer, Johnathan Arnon, Yakir Rottenberg, Philip Blumenfeld

“…ENLIGHT-DP predicts response to ICI and targeted therapies given H&E slide scans in two steps: (1) predict individual messenger RNA expression directly from high-resolution H&E scanned slides using DeepPT, a digital-pathology-based algorithm. (2) Use these values as input to ENLIGHT, a transcriptome-based platform that predicts response to ICI and targeted therapies derived from drug-specific networks of gene expressions. …”
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PD-L1 expression predicts the efficacy of PD-1 blockade plus chemotherapy versus chemotherapy alone in treatment-naïve advanced or metastatic gastric cancer: a pooled analysis of r... by Wei Zhou, Zeng-Zhi Cai, Zhuolin Fan, Xu Zheng, Yu-Tong Chen

“…The KMSubtraction algorithm was employed to derive IPD for the PD-L1-low subgroup. …”
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Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization by Ye He, Hongyun Fu, Andrew Y. Wu, Hongbin Wu, Ming Ding

“…Extreme natural disasters can easily cause large-scale power outages in distribution networks (DN), and energy storage system (ESS) contributes to an essential part of integrated solutions to this problem owing to its flexible regulation and rapid response characteristics. …”
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Maglev Derived Systems: An Interoperable Freight Vehicle Application Focused on Minimal Modifications to the Rail Infrastructure and Vehicles by Jesus Felez, Miguel A. Vaquero-Serrano, William Z. Liu, Carlos Casanueva, Michael Schultz-Wildelau, Gerard Coquery, Pietro Proietti

“…Target speed profiles were precomputed using dynamic programming, while a model predictive control algorithm determined the optimal train state and control trajectories. …”
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Development of differentiated surgical technique for treating patients with multilevel degenerative diseases of cervical spine by V. A. Byvaltsev, A. A. Kalinin, M. A. Aliyev, V. V. Shepelev, B. R. Yusupov, B. M. Aglakov

“…Analysis of the unsatisfactory outcomes of dorsal decompressive-stabilizing interventions in the treatment of patients with multilevel degenerative diseases of the cervical spine and development of a clinical-instrumental algorithm for differentiated surgical tactics.Material and Methods. …”
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Correction of TRMM 3B43 Monthly Precipitation Data Using Quantile Regression Model in the Urmia Lake Basin by Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoobzadeh, khadijeh Javan

“…It is noteworthy that the TRMM satellite data at stations such as Sarab, Salmas, and Sahand initially differed significantly from the observed data. …”
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Arterial hypertension in kidney transplant recipients: pathophysiology, diagnostics, treatment by M. Sh. Khubutiya, F. M. Musaeva, T. A. Kanunova, O. N. Rzhevskaya, A. G. Balkarov, Kh. G. Alidzhanova

“…Treatment difficulties include the ineffectiveness of many first-line drugs and the fact that the most common immunosuppressive drugs (cyclosporine, tacrolimus and methylprednisolone) contribute to the development of hypertension. …”
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Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

“…Then, the real demand is forecasted using a deep learning approach, Bidirectional Gated Recurrent Unit. …”
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Distributed Collaborative Control Strategy for Intra-regional AGC Units in Interconnected Power System with Renewable Energy by Lei ZHANG, Xiaowei MA, Manliang WANG, Li CHEN, Bingtuan GAO

“…In response to the above challenges, a collaborative control strategy for intra-regional AGC units in interconnected power system based on unit dynamic model and distributed consistency is proposed, while power interchange is dispatched across different regional power systems according to tie-line power flow and the bias of frequency. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…Abstract Identifying attention-deficit/hyperactivity disorder (ADHD) with coexisting autism spectrum disorder (ASD) for children is a challenging issue due to their complexity and overlapping symptoms. …”
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Method of investigating thermal fluctuation processes in problems of diagnostics and prediction of insulating materials by Marina N. Dubyago, Nikolay K. Poluyanovich, Vyacheslav Kh. Pshikhopov

“…Mathematical models that describe the layer-by-layer temperature distribution of the cable line in accordance with the theory of thermal conductivity using Fourier differential equation are proposed. …”
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Research on multi-view collaborative detection system for UAV swarms based on Pix2Pix framework and BAM attention mechanism by Yan Ding, Qingxin Cao, Bozhi Zhang, Peilin Li, Zhongjiao Shi

“…The system is designed to enhance multi-view image generation and detection algorithms, thereby improving the accuracy and efficiency of object detection across varying perspectives. …”
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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The Manhattan distance is used because it is easier to process data. …”
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Small Defects Detection of Galvanized Strip Steel via Schatten-<i>p</i> Norm-Based Low-Rank Tensor Decomposition by Shiyang Zhou, Xuguo Yan, Huaiguang Liu, Caiyun Gong

“…By fully exploiting the low-rank and sparse prior information of a surface defect image, a Schatten-<i>p</i> norm-based low-rank tensor decomposition (SLRTD) method is proposed to decompose the defect image into low-rank background, sparse defect, and random noise. …”
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Identification breeds equity: the regulation effect of group decision-making on beauty premium by Lu Cheng, Qingguo Ma, Yijin He, Yulin Tan, Linanzi Zhang, Wenwei Qiu

“…Besides, the drift diffusion model was used to further decode the cognitive processing differences between two environments. …”
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Review of Visual Defect Detection Technology for Micro Coaxial Cable Harnesses by Jin Li, Zhipeng Guo, Lei Ye, Hailin Wang

“…This paper presents a discussion and proposes the corresponding suggestions from three perspectives: the impact of illumination environment, defect dataset and defect detectability. …”
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Evaluating Empirical Dynamic Modeling for forecasting: The role of variation among time series replicates by Fleur Slegers, Robbin Bastiaansen, Edwin Pos

“…To overcome data limitations, time series from similar sources (replicates) are often combined. …”
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Minimizing the Active Power Losses and Retaining the Voltage Profile of the Distribution System Using Soft Computing Techniques with DG Source by P. Sundararaman, E. Mohan, S. V. Aswin Kumer, Sridhar Udayakumar, Abdissa Fekadu Moti

“…The radial distribution system has lower power losses, best voltage profile, cost of saving the DG source, optimal placing of a suitable rating of the DG source, optimal location of the DG source, and cost of saving the DG source which were achieved in this work. …”
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Research on planning and demand matching strategies for intelligent material supply chains under carbon constraints by Shao Xuwei, Wu Jianfeng, Ge Junping, Wang Jianguo, Hu Kairui, Qiu Yang, Ju Chunhua, Xu Jiaming

“…Therefore, starting from the matching fitness of both supply and demand sides, this paper constructs a dynamic matching decision framework that is more in line with the actual operation logic, and introduces a dynamic matching algorithm based on multi-factor stimulus value and response threshold to improve the adaptability and responsiveness of the model. …”
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Analysis of Congestion-Propagation Time-Lag Characteristics in Air Route Networks Based on Multi-Channel Attention DSNG-BiLSTM by Yue Lv, Yong Tian, Xiao Huang, Haifeng Huang, Bo Zhi, Jiangchen Li

“…Moreover, the propagation features differ significantly in their spatiotemporal distributions under different time lags. …”
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