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The Theme of Displacement in Contemporary Art
Published 2012-03-01“…The theme of displacement in contemporary art is analysed with regard to the work of many artists, including Francis Alÿs, Bill Fontana, Allan Sekula, Chen Chieh-jen, Ai Wei Wei, Rosemary Laing, Mike Parr, Santiago Sierra, Rebecca Belmore and Tracey Moffatt.…”
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Research on artificial intelligence key technologies of mobile terminal
Published 2020-05-01“…With the progress of software and hardware technology of mobile terminals,the machine learning ability of mobile terminals has been explored.Starting from the overall framework of mobile terminal artificial intelligence technology,the end-to-end artificial intelligence hardware acceleration technology was studied,mainstream on-device machine learning frameworks,neural network model compression and other software technologies were compared,the development trend of AI application was analyzed,and the current technological progress and future development trend of mobile terminal artificial intelligence were summarized.…”
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Contributo alla definizione del concetto di Umanesimo e Rinascimento mediterraneo
Published 2025-01-01“… Riflessione di apertura della sezione monografica Al crocevia del Mediterraneo, dedicata ai concetti di Umanesimo e Rinascimento mediterraneo. …”
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Privacy preserving strategies for electronic health records in the era of large language models
Published 2025-01-01“…National regulations like GDPR and HIPAA offer protection frameworks, but specific strategies are needed to mitigate risk in generative AI. Risks can be reduced by using strategies like privacy-preserving locally deployed LLMs, synthetic data generation, differential privacy, and deidentification. …”
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Prospect of big data stimulating business model innovation of telecom operator
Published 2018-01-01“…Combined with big data research and practice of telecommunication industry,eight business operation areas in which big data can create values were illustrated.Through explaining the definition and characteristics of big data which stimulates business model innovation,the concept of intelligence operations center was illuminated,and the significance,commercial design and supporting elements were introduced.At the same time,the relationship between intelligence operations center and other business platforms was explained.Finally the development opportunities and evolution strategies of intelligence operations center at AI era was introduced.…”
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Multimodal technologies for neural modulation and sensing
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Editorial
Published 2023-12-01“…Now this year has seen the emergence of generative artificial intelligence and, just as 1995 was a transition point, in the move from print to digital, so this year is a transition point – in the move from what is still, very largely, a combination of human and computer to generate services, to a future of human and AI system of service delivery. And, perhaps, before too long, artificial intelligence acting alone.…”
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酶消化法结合人工智能技术在法医学溺死硅藻检验中的应用
Published 2023-05-01“…目的人工智能(AI)全涂片自动化硅藻检验技术能比人类专家更快速、高效进行法医病理学溺死硅藻检验。然而,该技术仅与硅藻提取率较低的硝酸消化法联用过,本研究拟采用更加高效的蛋白酶K组织消解法(以下简称酶消化法)作为硅藻提取方法,探究该技术在其他硅藻提取方法中的泛化能力及可行性。…”
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Improved ChIP Sequencing for H3K27ac Profiling and Super-Enhancer Analysis Assisted by Fluorescence-Activated Sorting of Formalin-Fixed Paraffin-Embedded Tissues
Published 2025-01-01“…Through assistance of FACS, we successfully isolated tumor cells from FFPE lymph node samples of nTFHL-AI and profiled super-enhancers (SEs) mapping by enrichment of H3K27ac signals. …”
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Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study
Published 2025-02-01“…MethodsThe chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3‐5 minutes of daily use over 30 days. …”
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Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation
Published 2024-12-01“…Artificial intelligence (AI) is used in tasks that usually require human intelligence. …”
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重组人内皮抑素对胃肠间质瘤血管形成及生长的抑制作用
Published 2010-01-01“…【目的】 研究重组人内皮抑素(recombinant human endostatin,rhES)能否抑制胃肠间质瘤(gastrointestinal stromal tumor,GIST)裸鼠移植肿瘤血管生成及生长,探讨抑制血管形成作为GIST治疗方法的可行性65377;【方法】 随机将20只荷瘤裸鼠分为实验组与对照组65377;对照组瘤周注射生理盐水,实验组瘤周注射rhES,连用10 d65377;自用药开始,每5 d测量肿瘤体积,直至用药结束后5 d65377;计算抑瘤率和肿瘤缩小率65377;比较实验组与对照组肿瘤体积65380;微血管密度(microvascular density,MVD)65380;bcl-2阳性表达率65380;凋亡指数(AI)及实验组治疗前后肿瘤体积差异是否具有显著性65377;【结果】 用药前实验组与对照组肿瘤体积无差别(P = 0.628)65377;用药后实验组肿瘤体积逐渐减小65377;用药结束后5 d,实验组肿瘤体积与用药前及对照组相比均明显缩小(P = 0.000),抑瘤率86.5%,肿瘤缩小率为55.5%65377;所有瘤株CD117均为阳性表达65377;实验组MVD低于对照组(P = 0.020)65377;实验组bcl-2阳性表达率均低于对照组(P = 0.023)65377;实验组AI高于对照组(P = 0.020)65377; 【结论】 rhES抑制GIST血管生成65380;促进肿瘤细胞凋亡及遏制肿瘤生长,有可能成为治疗GIST的有效方法之一65377;…”
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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance
Published 2024-01-01“…Our proposed system named the MRI short-axis view left ventricular hypertrophy classifier (MSLVHC) is a high-accuracy standardized imaging classification model developed using AI and trained on MRI short-axis (SAX) view cine images to distinguish between HCM and Fabry disease. …”
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Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopath...
Published 2025-01-01“…Finally, the paper proposes a procedure to integrate AI in the pre-screening process.…”
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Antimicrobial activity of indigenous Oscillatoria spp. against prevalent bacterial diseases in fish and shellfish
Published 2025-04-01“…A highest activity index (AI) value of 2.10 ± 0.03 was observed for filamentous Oscillatoria sp. against Staphylococcus sp., whereas a significantly lower AI value of 1.00 ± 0.01 was obtained for planktonic Oscillatoria sp. against Pseudomonas sp. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
Published 2025-03-01“…This paper reviews the unique aspects and research priorities in forage phenotypic monitoring, highlights key remote sensing platforms, examines the applications of advanced sensing technology for quantifying phenotypic traits, explores artificial intelligence (AI) algorithms in phenotypic data integration and analysis, and assesses recent progress in phenotypic genomics. …”
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