Deciphering the generation of heterogeneity in esophageal squamous cell carcinoma metastasis via single-cell multiomics analysis by Kaiwen Sheng, Jun Chen, Ruitang Xu, Haoqiang Sun, Ran Liu, Yongjie Wang, Wenwen Xu, Jiao Guo, Miao Zhang, Shuai Liu, Juan Lei, Yawen Sun, Yang Jia, Dianhao Guo

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Factores macroeconómicos en rendimientos accionarios chilenos by Rodrigo Fuentes S. M., Jorge Gregoire C., Salvador Zurita L.

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سندھی سیرت نگاران کی کاوشوں کی تلخیص و ترجمانی by Ayesha Sadiqa, Tehmina Ghani

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Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma by Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

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Non-invasive imaging with ICOS-targeting monoclonal antibody for preclinical diagnosis of rheumatoid arthritis in a humanized mouse model by Shao Duan, Chao Li, Feng Yan, Yifei Xia, Shuaiming Shao, Weiyu Chen, Zunyu Xiao, Gongping Xu

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Cerebellum abnormalities in vascular mild cognitive impairment with depression symptom patients: A multimodal magnetic resonance imaging study by Yirong Chen, Liling Chen, Liyu Hu, Jianjun Wang, Jinhuan Zhang, Hanqing Lyu, Jinping Xu, Jianxiang Chen, Haibo Yu

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Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models by Alireza Sharifi, Mohammad Mahdi Safari

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A Bore-Integrated Patch Antenna Array for Whole-Body Excitation in Ultra-High-Field Magnetic Resonance Imaging by Svetlana S. Egorova, Nikolai A. Lisachenko, Egor I. Kretov, Yang Gao, Xiaotong Zhang, Stanislav B. Glybovski, Georgiy A. Solomakha

“…The human body&#x2019;s ultra-high field magnetic resonance imaging suffers from the inhomogeneity of the radio frequency magnetic field <inline-formula> <tex-math notation="LaTeX">$B_{1}^{+}$ </tex-math></inline-formula> and the high-peak levels of SAR created in body tissues during transmission. …”
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Destination Service Quality and Destination Image To Enhance Revisit Intention: Role of Perceive Risk in Post-Covid-19 Era by Lia Febria Lina, Berlintina Permatasari, Dian Novita, Angga Febrian

“…Conclusion: The findings prove that destination image is a key factor in determining revisit intention. …”
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Applying Focal Therapy to Lesions Detected via Magnetic Resonance Imaging: Delivering Cancer Ablation Beyond the Visibility Phenomenon by Clement Orczyk, Teresa Marsden, Francesco Giganti, Joseph M. Norris, Santosh Waigankar, Louise Dickinson, Shonit Punwani, Alex Kirkham, Alex Freeman, Aiman Haider, Caroline M. Moore, Arnauld Villers, Clare Allen, Mark Emberton

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Classification of peripheral vitreoretinal interface lesions using spectral-domain optical coherence tomography with guidance of ultrawide field imaging by Weiwei Zheng, Ying Huang, Ying Huang, Shanshan Qian, Bing Lin, Bing Lin, Shenghai Huang, Shenghai Huang

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Systematic review of functional magnetic resonance imaging (fMRI) applications in the preoperative planning and treatment assessment of brain tumors by Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat, Hanan Fawaz Akhdar, Haytham Al Ewaidat, Abdallah Almahmoud, Abdel-Baset Bani Yaseen, Laith Al Badarneh, Omar Alhamad, Laith Alhamad

“…The utilization of functional magnetic resonance imaging (fMRI) is critical in the preoperative planning phase of brain tumor surgery because it allows for a delicate balance between maximizing tumor resection and maintaining brain function. …”
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A Particle of Amazement Which Will Become the Essence of Eternity. The Meaning of Friendship in the Life and Thought of Saint John Paul II by Filip De Rycke

“…Among the friends, it works out a deep union that is an image of the triune God and an anticipation of the everlasting communion of the saints. …”
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Goats who stare at video screens – assessing behavioural responses of goats towards images of familiar and unfamiliar con- and heterospecifics by Deutsch, Jana, Lebing, Steve, Eggert, Anja, Nawroth, Christian

“…Many cognitive paradigms rely on active decision-making, creating participation biases (e.g. subjects may lack motivation to participate in the training) and once-learned contingencies may bias the outcomes of subsequent similar tests. …”
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Variación fenotípica de una muestra de maíces de la región de Chalcatongo de Hidalgo, Oaxaca by José Luis Chávez-Servia, Prisciliano Diego-Flores, José Cruz Carrillo-Rodríguez

“…A fin de evaluar la variabilidad morfológica fenotípica de una muestra de maíces de la Mixteca oaxaqueña, se realizó una colecta de 50 muestras poblacionales en cinco municipios de la región de Chalcatongo, Oaxaca. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…The dataset comprised 21,165 images, with a division of 10% for testing and 90% divided into training data (80%) and validation data (20%). …”
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Identifying [between] Geser and Genghis Khan. Part 1: Contamination of Images in Folklore and Historical Memories of Central and Inner Asia by Natalia N. Nikolaeva, Evgenii V. Nolev

“…Conclusions. The image of demiurge Geser-Genghis is characteristic of South Siberian Turkic mythologies, while the Mongolic oral traditions distinguish between the images but tend to view them as ones with pronounced ties, and basically deify the characters. …”
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Multiparameter resting-state functional magnetic resonance imaging as an indicator of neuropsychological changes in Binswanger’s disease with mild cognitive impairment by Haiyi Zhang, Lu Zhang, Juan Lu, Jiajun Yue, Zhengzhen Yuan, Jidan Hu, Qi Yao, Yuting Fu, Guiquan Chen, Jiliang Fang, Jie Zhao

Subjects: “…functional magnetic resonance imaging…”
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Image quality, contrast enhancement and radiation dose of electrocardiograph- versus non-electrocardiograph-triggered computed tomography angiography of the aorta by Ying Mei Wong, Ching Ching Ong, Chong Ri Liang, Choon Ann Tan, Lynette Li San Teo

“…Our aim was to evaluate the image quality, contrast enhancement and radiation dose of electrocardiograph (ECG)-triggered and non-ECG-triggered CTAA on a 256-slice single-source CT scanner. …”
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A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms by Yang Xu, Yilin Mao, He Li, Jiazhi Shen, Xiuxiu Xu, Shuangshuang Wang, Shah Zaman, Zhaotang Ding, Yu Wang

“…For RGB image classification, models were built using ResNet18, VGG16, AlexNet, WT-ResNet18, WT-VGG16, and WT-AlexNet. …”
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