3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma by Sguinzi R, Vidal J, Poroes F, Bartolucci DA, Litchinko A, Gossin E, Fingerhut A, Toso C, Buhler L, Egger B

“…Methods: We retrospectively evaluated 16 patients with BR-PDAC near vascular structures who underwent pancreatoduodenectomy (PD) with or without vascular resection between 2015 and 2021. The pre-operative computed tomography (CT) images were processed by segmentation with 3D reconstruction and printed as 3D models. …”
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Neurologic Physiology after Removal of Therapy (NeuPaRT) study: study protocol of a multicentre, prospective, observational, pilot feasibility study of neurophysiology after withdr... by Charles Weijer, Loretta Norton, Teneille Gofton, Marat Slessarev, Michaël Chasse, John Gordon Boyd, Frédérick D'Aragon, Shane English, Maureen Meade, Sam Shemie, Sonny Dhanani, Andreas H Kramer, Jennifer Chandler, Eileen Campbell, Jeffrey Singh, Yun-Hee Choi, Maxwell J Smith, Erika Chamberlain, Nathan B Scales, Nicholas Murphy, Derek Debicki, Tadeu A Fantaneanu, Julie Kromm, Tracey C Bentall

“…We will use MATLAB to synchronise waveform data and compute the time of cessation of each signal relative to circulatory arrest. …”
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Experience of using vascularized bone grafts to treat nonunion fractures and limb bone defects by A. V. Nevedrov, E. Yu. Shibayev, V. O. Kalenskiy, N. N. Zadneprovskiy, V. B. Shishkin, F. A. Sharifullin, O. A. Tsoy, M. P. Lazarev, P. A. Ivanov, A. L. Rybinskaya

“…We analyzed the treatment process and outcomes of 4 patients with limb bone nonunion and 6 patients with bone defects. …”
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Optimizing rotary kiln operations for molybdenite concentrate oxidation roasting to produce molybdic trioxide by Jungho Heo, Seunghyeon Baek, Kurniawan Kurniawan, Seongsoo Han, Youngjae Kim, Hyunsik Park, Joobeom Seo

“…The effects of the rotational speed (0–10 rpm) and temperature (550–650 °C) of rotary kiln drums on the oxidation roasting of molybdenite (MoS2) concentrate was investigated in this study. Computational predictions indicated that production of MoO2 was more favorable than that of MoO3 up to a certain stage of the oxidation roasting process, after which MoO3 is produced through the consumption of MoO2. …”
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Use of a novel ultrasound sign in the management of malignant pleural effusions: a prospective observational trial by Pradeep Bajad, Naveen Dutt, Nishant Chauhan, Avinash Babu, Aditi Joshi, Amartya Chakraborti, Rishabh Kochar, Saumya Shishir

“…Lung entrapment can complicate this process and may be predicted using pleural manometry. …”
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African dust transported to Barbados in the wintertime lacks indicators of chemical aging by H. M. Royer, H. M. Royer, M. T. Sheridan, M. T. Sheridan, H. E. Elliott, E. Blades, N. N. Lata, Z. Cheng, S. China, Z. Zhu, A. P. Ault, C. J. Gaston

“…<p>The chemical processing (“aging”) of mineral dust is thought to increase dust light-scattering efficiency, cloud droplet activation, and nutrient solubility. …”
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Multi-bioinspired electronic skins with on-demand adhesion and opto-electronic synergistic display capabilities by Wenzhao Li, Jinbo Li, Xiaoya Ding, Qitao Tan, Weijian Sun, Puxiang Lai, Yuanjin Zhao

“…Integrated neural network processing ensures accurate, wide-range, and independent multimodal display. …”
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Personalizing Muscle Tendon Parameters of Cerebral Palsy Patient&#x2019;s Digital Model by Tinghan Xu, Yuanhao Liang, Lin Feng, Li Liu, Eric Yeung, Rong He, Michael To, Yong Hu

“…As computer science progresses, neuromusculoskeletal models are increasingly applied in clinical settings, particularly when studying abnormal characteristics in patients with cerebral palsy. …”
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A New Automatic Hydrological Station Relocation Algorithm (ASRA) for Moving Hydrological Stations Onto a Simulated Digital River Network by Kun Wang, Denghua Yan, Zuhao Zhou, Baisha Weng, Tianling Qin, Wuxia Bi, Siyu Liu

“…Abstract Determining the precise placement of hydrological stations on a simulated digital river network is crucial for constructing hydrological models applicable to process simulation, water resource management, and flood forecasting endeavors. …”
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Co-assembled Glycyrrhiza nanoparticles embedded supramolecular protein hydrogels to enhance licochalcone A release for acute inflammation management by Zhuxian Wang, Jun Liu, Yufan Wu, Yamei Li, Hongxia Zhu, Qiang Liu, Bin Yang

“…Notably, the conformational transformation facilitated faster LA release, confirmed by computational simulation analysis, which was conducive to acute inflammation curation. …”
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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

“…However, existing TomoSAR height inversion methods do not fully leverage a priori knowledge, compromising the accuracy of deformation estimation; deep learning-based methods involve the integration of multiple steps, complicating the process. Additionally, the computational inefficiency of existing algorithms significantly hinders the large-scale practical deployment of TomoSAR. …”
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Spatio-Temporal Correlation Between Radon Emissions and Seismic Activity: An Example Based on the Vrancea Region (Romania) by David Montiel-López, Sergio Molina, Juan José Galiana-Merino, Igor Gómez, Alireza Kharazian, Juan Luís Soler-Llorens, José Antonio Huesca-Tortosa, Arianna Guardiola-Villora, Gonzalo Ortuño-Sáez

“…Then, the station’s signals were correlated in order to check which stations are recording radon anomalies due to the same regional tectonic process. On the other hand, the seismic activity rate was computed using the earthquakes in the main catalogue of the region that are able to generate radon emissions and can be registered at several stations. …”
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Research on the numerical simulation of dynamic explosion shock wave propagation characteristics between floors by Ke Wu, Bo Chen, Hao Li, Yunfeng Zhang, Damin Zhang, Yixuan Wu, Yaguang Sui

“…Utilizing numerical simulation methods, we investigated the propagation process of shock waves between building floors, capturing the evolution of their wavefronts. …”
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Fatigue behavior and impedance spectrum characteristics of Cr-modified stainless-steel rebars after corrosion by Chuntao Zhang, Weishao Chen, Hongjie Zhu, Renbin An

“…In addition, the accuracy and feasibility of a formula derived from the integration of Weibull's probability distribution model with Paris' law were validated through computational analysis. By comparing the experimental data with the calculated values of the model, the error is less than 10 %. …”
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Transcranial magnetic stimulation measures of corticospinal excitability in Black and Hispanic/Latino people with painful peripheral neuropathy by Marlon L. Wong, Lisa M. McTeague, Gabriel Gonzalez, Juan P. Gonzalez, Jessica L. Bolanos, Peter J. Hosein, Danylo F. Cabral, Peter J. Fried

“…Test-retest reliability was evaluated, and changes in TMS measures following transcutaneous auricular vagus nerve stimulation were computed.ResultsPre-intervention TMS measures showed smaller-than-medium sized differences between CIPN and DN groups. …”
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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

“…Human keypoint detection has significant value in computer vision tasks such as human-machine interaction. …”
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A Novel Geometry Agnostic Delay and Doppler Tracking Technique for GNSS-Reflectometry: Application to the GNOS-II Payload Onboard the FY-3E by Changyang Wang, Adriano Camps, Xiuqing Hu, Hyuk Park, Kegen Yu, Xiaochun Zhai, Wenqiang Lu, Feixiong Huang, Mi Liao, Peng Zhang, Nanshan Zheng, Kefei Zhang, Zhongmin Ma

“…Therefore, an innovative processing technique is presented, which can estimate the peak coordinates of all individual DDMs by appropriately grouping the individual DDMs and incoherently accumulating within each group. …”
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Minimizing skull defects in retrosigmoid approach: precision mapping of the sigmoid sinus with mastoid emissary vein canal by Artem V. Rozumenko, Mykola V. Yehorov, Vasyl V. Shust, Dmytro M. Tsiurupa, Anton M. Dubrovka, Petro M. Onishchenko, Volodymyr O. Fedirko

“…The projection of the internal opening of the MEV canal onto the external surface of the mastoid process was determined as the posterior border sigmoid sinus and anterior border for craniotomy. …”
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Between-Subject and Within-Subject Variation of Muscle Atrophy and Bone Loss in Response to Experimental Bed Rest by Jonas Böcker, Marie-Therese Schmitz, Marie-Therese Schmitz, Uwe Mittag, Jens Jordan, Jens Jordan, Jörn Rittweger, Jörn Rittweger

“…To improve quantification of individual responses to bed rest interventions, we analyzed peripheral quantitative computer tomography (pQCT) datasets of the lower leg of 76 participants, who took part in eight different bed rest studies. …”
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Artificial Intelligence in Nursing Decision-Making: A Bibliometric Analysis of Trends and Impacts by Mengdie Hu, Yan Wang, Yunsong Liu, Bingqing Cai, Fanjing Kong, Qian Zheng, Dan Zhao, Guanghui Gao, Zhouguang Hui

“…Keyword analysis highlights the significant potential of natural language processing technologies, particularly those based on large language models (e.g., ChatGPT), in nursing decision-making. …”
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