Results 121 to 130 of about 3,397,134 (329)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Graph Sample and Hold: A Framework for Big-Graph Analytics [PDF]

, 2014
Sampling is a standard approach in big-graph analytics; the goal is to efficiently estimate the graph properties by consulting a sample of the whole population. A perfect sample is assumed to mirror every property of the whole population.
Ahmed, Nesreen K., Duffield, Nick, Kompella, Ramana, Neville, Jennifer   +3 more
core  

BigDataBench: a Big Data Benchmark Suite from Internet Services

, 2014
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises.
Gao, Wanling, He, Yongqiang, Jia, Zhen, Li, Xiaona, Lu, Gang, Luo, Chunjie, Qiu, Bizhu, Shi, Yingjie, Wang, Lei, Yang, Qiang, Zhan, Jianfeng, Zhan, Kent, Zhang, Shujie, Zheng, Chen, Zhu, Yuqing   +14 more
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Does Google Analytics Improve the Prediction of Tourism Demand Recovery?

Forecasting
Research shows that Google Trend indices can improve tourism-demand forecasts. Given the impact of the recent pandemic, this may prove to be an important predictor of tourism recovery in countries that are still struggling to recover, including South ...
Ilsé Botha, Andrea Saayman
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

應用 Google Analytics 於數位典藏網站計量分析 A Web Metrics Study on Taiwan Baseball Wiki Using Google Analytics [PDF]

Jiàoyù zīliào yǔ túshūguǎn xué, 2010
數位典藏系統的最終目的是為了提供使用者使用,因此,必須從使用者角度評估系統的設計,以充分掌握使用者需求,發掘系統潛在問題,藉以改善系統、提升品質與增進使用者滿意度。本研究選擇以使用者到訪率極高的數位典藏網站-「台灣棒球維基館」為對象,利用著名的網站計量軟體GoogleAnalytics做為主要分析工具,再輔以問卷調查結果,希望能掌握使用者的多樣面貌,包括:誰在使用?何時使用?何地使用?使用何物?如何使用q工具,有效地分析網站營運成果,解析網站使用客群,據以調整網站未來經營方向。The ultimate ...
Sinn-Cheng Lin, Ming-Chen Hong
doaj  

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

Portal Revcom & Google Analytics: acessando a caixa-preta da informação

Em Questão, 2008
A utilização de suporte eletrônico para a veiculação de conteúdos científicos possibilita maior acessibilidade e visibilidade destes últimos e, ao mesmo tempo, mais facilidade na análise deste alcance e uso pela comunidade de usuários.
Sueli Mara Ferreira, Alexandre Silva Cunha   +1 more
doaj