Results 151 to 160 of about 1,128,683 (298)

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Search Engine : a Synthesis, Innovation & Regulation Chair, Workshop, 16 Mai 2008. [PDF]

In a digital economy which is increasingly becoming an information and attention-based economy, search engines are occupying a central role shaped by the symbolic status of Google both in terms of its renown and its dominance of internet traffic. Despite
Pierre-Jean Benghozi
core  

Highlighting Recent Progress in Fiber Energy Harvesters: From Working Principles to Future Perspectives

Advanced Science, EarlyView.
Fiber energy harvesters offer unprecedented flexibility and a unique capacity for integration into commercial textiles, overcoming the limitations of bulky and rigid conventional devices. This review summarizes recent advances in fiber‐based energy harvesting and provides strategic outlooks to accelerate technological progress in the field. ABSTRACT As
Hanhwi Jang, Junseong Ahn, Yongrok Jeong, Sohee Jeon, Soon Hyoung Hwang, Min‐Wook Oh, Jun‐Ho Jeong, Inkyu Park, Yeon Sik Jung   +8 more
wiley   +1 more source

The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics

Advanced Science, EarlyView.
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye, Young Jin Jo, Ji Yeon Oh, Ju Yeon Jeong, Lili Guo, Tae‐il Kim   +5 more
wiley   +1 more source

Digital economy: Textbook

The textbook contains conceptual, methodological and methodological provisions for management in the digital economy. The replacement of the concept of the digital economy and the concept of management in the digital economy is open. The development of cutting-edge technologies in management in the minds of the digital economy has been highlighted ...
Britchenko, Igor, Chukurna, Olena, Tardaskina, Tetiana   +2 more
openaire   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

China’s Digital Economy: Opportunities and Risks [PDF]

International Organisations Research Journal, 2019
Longmei Zhang, Sally Chen
openaire   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Huang Jing, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Does digital economy affect the happiness of older adults? [PDF]

Front Psychol
Wu Z, Wang L, Ma F, Lu J, Leeson GW, Kong R.   +5 more
europepmc   +1 more source