Results 191 to 200 of about 1,540,946 (305)

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Incidental genomic findings in large scale research: using the "3-I framework" to reveal policy considerations. [PDF]

Front Genet
Onstwedder SM, Van El C, Rodenburg W, Thorogood A, Cornel MC, Rigter T.   +5 more
europepmc   +1 more source

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Advanced Science, EarlyView.
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra, Ibrahim M. Sayed, Souhrid Mukherjee, Honit Piplani, Aida Habtezion, Michael J. Rosen, Jospeh C. Wu   +6 more
wiley   +1 more source

A deep dive into Brazilian health technology assessment: Structure, policies, and processes. [PDF]

PLOS Glob Public Health
Alkhaldi M, Matos M, Sweid A, Al Basuoni A, Kachach R, Hassan M, Mushamiri-Kuzviwanza P, Enjalbert L, Ahmed S.   +8 more
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Using Expert Elicitation and Systems Mapping to Support Social Innovation in the (Blue) Food System: The Case of the UK's Plymouth Fish Finger. [PDF]

J Hum Nutr Diet
Clare P, Kelly P, Chavez-Ugalde IY, Louise H, Carol W.   +4 more
europepmc   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

Advanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh‐An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang‐Phuong Phan, Thanh Nho Do, Mai Thanh Thai   +9 more
wiley   +1 more source

Correction: Nutritional life cycle assessment for healthy and sustainable food systems: evidence and policy insights from Africa and Asia. [PDF]

Front Nutr
McAuliffe GA, Ortenzi F, van der Pols JC, Nemecek T, Colston J, Beal T.   +5 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Developing a community-based screening model for refractive error in school-aged children in Indonesia. [PDF]

J Educ Health Promot
Rahayu T, Darusman KR, Kamaruddin MI, Deneska RS, Tjoeng E, Basrowi RW, Moeloek NF.   +6 more
europepmc   +1 more source