Results 171 to 180 of about 7,910 (205)

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

Poverty type, immigration background, and secondary school academic outcomes for children in British Columbia. [PDF]

Soc Psychol Educ
Gill R, Karim ME, Puyat JH, Petteni MG, Guhn M, Janus M, Forer B, Gadermann A.   +7 more
europepmc   +1 more source

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

Validating molecular target-enriched fMRI for disentangling drug effects on dopamine. [PDF]

Imaging Neurosci (Camb)
van den Bosch R, Cools R.
europepmc   +1 more source

Generalized Mechanism Model for Ecosystem Hysteresis

Advanced Science, EarlyView.
A simplified model examines ecosystem transitions into alternative states after disturbances by leveraging positive and negative feedbacks. It identifies critical tipping points and quantifies hysteresis. Tests conducted on lakes, grasslands, and pitcher‐plant leaves align closely with empirical data and enable the prediction of recovery trajectories ...
Yanbin Hao, Xin Wang, Jie Liu, Mingzi Wu, Jianqing Du, Kai Xue, Xiaoning Song, Xiaoyong Cui, Tong Zhao, Yanfen Wang   +9 more
wiley   +1 more source

Accurate and efficient data-driven psychiatric assessment using machine learning. [PDF]

BMC Med Inform Decis Mak
Konishcheva K, Leventhal BL, Koyama M, Panda S, Vogelstein JT, Milham MP, Lindner AB, Klein A.   +7 more
europepmc   +1 more source

Calcium Shock Enables Efficient and Programmable Particle Delivery for Genome Editing Applications

Advanced Science, EarlyView.
Classical transfection and transduction are inefficient, particularly with confluent cells and organoids, and lack cell type‐specific programmability. This study presents calcium shock (CaSh), a method that dramatically improves particle delivery into single cells, colonies, and organoids.
Nicole Vo, Lorena de Oñate, Maximillian Frank, Xian Hu, Sophie M. Blackburn, Dana V. Foss, Jasmine Villegas, Kunica Asija, Dirk Hockemeyer, Hongxia Fu, Raymond J. Monnat, Ross C. Wilson, Benjamin S. Freedman   +12 more
wiley   +1 more source

Utilizing deep learning algorithms for the early identification and categorization of skin cancer. [PDF]

J Genet Eng Biotechnol
Iqbal J, Faisal M, Ullah S, Khan ZA, Ali Z, Bawari NZ.   +5 more
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source