Results 141 to 150 of about 825,976 (306)

Land Use Scanner: the continuous cycle of application, evaluation and amelioration in landuse modelling [PDF]

open access: yes
The Land Use Scanner is a logit model that simulates future land use in a GIS environment. The model uses claims from sectoral models as input, next to physical suitability, distance decay and policy maps.
Borsboom, Judith   +2 more
core  

Analog Signal Summation for Reinforcement Learning via Simultaneous Light–Voltage Modulation in a Synaptic Device

open access: yesAdvanced Science, EarlyView.
To overcome limitations of conventional AI hardware, a light‐voltage dual‐modulating synaptic (LVDS) transistor using an IGZO/InAs quantum dot hybrid structure is proposed. LVDS transistor enables analog summation for Dueling Deep Q‐Networks by independently modulating memory via optical and electrical stimuli.
Dong Gue Roe   +10 more
wiley   +1 more source

Immunization costs, from evidence to policy: Findings from a nationally representative costing study and policy translation effort in Tanzania.

open access: yesVaccine, 2020
Vaughan K   +7 more
europepmc   +1 more source

TRIM40 Drives Pathological Cardiac Hypertrophy and Heart Failure via Ubiquitination of PKN2

open access: yesAdvanced Science, EarlyView.
This study identifies the E3 ligase TRIM40 as a key driver of pathological cardiac hypertrophy. TRIM40 binds PKN2 via its B‐box domain and, through its C29‐dependent catalytic activity, mediates K63‐linked ubiquitination of PKN2. This modification enhances PKN2 phosphorylation at Ser815, thereby driving hypertrophy.
Risheng Zhao   +12 more
wiley   +1 more source

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

open access: yesAdvanced 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   +10 more
wiley   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

open access: yesAdvanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen   +5 more
wiley   +1 more source

Dynamics of biosciences regulation and opportunities for biosciences innovation in Africa: Exploring regulatory policy brokering [PDF]

open access: yes
Knowledge brokering has been explored in the innovation literature to understand how different innovation tasks are organised toward technological development.
Hall, Andy, Kingiri, Ann
core  

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

open access: yesAdvanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang   +11 more
wiley   +1 more source

Australian gambling research priorities: summary findings from consultations conducted by the Australian Gambling Research Centre [PDF]

open access: yes
This paper on gambling research priorities is intended to assist researchers and policy makers to develop research focused on improving the short- and long-term health and wellbeing of Australians who gamble and who are affected by gambling.
Anna Thomas   +2 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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