Results 111 to 120 of about 461 (173)

Leverage Points for Meaningful Participation: A 5‐Point Framework From a Rural South African Landscape

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Alternative forms of natural resource management are required. Participation of local actors is necessary but not sufficient, for moving away from the conventional top‐down approaches. This paper develops a 5‐point framework for enabling meaningful participation in rural landscape governance.
Anthony S. Fry, Jai K. Clifford‐Holmes, Carolyn G. Palmer   +2 more
wiley   +1 more source

Towards Intelligent Wound Care: Hydrogel-Based Wearable Monitoring and Therapeutic Platforms. [PDF]

Polymers (Basel)
Niu Y, Zhao Z, Yang L, Lv D, Sun R, Zhang T, Li Y, Bao Q, Zhang M, Wang L, Yan W, Han F, Yan B.   +12 more
europepmc   +1 more source

Engineering Nanoscale Frontiers: Valve Metal Oxide Nanostructures From Fundamentals to Multifunctional Biomedical Applications

The Chemical Record, EarlyView.
Valve metal oxide nanostructures such as TiO2, Ta2O5, Nb2O5, ZrO2, and HfO2 are emerging as versatile biomedical platforms due to their tunable surface properties, exceptional stability, and inherent biocompatibility. This review highlights their synthesis, physicochemical properties, and biological interactions, addressing their roles in advanced ...
Nina Kummer, Désirée Gül, İdris Sargin, Mustafa Dolaz, Dzmitry Shcharbin, Shirley K. Knauer, Burcu Önal Acet, Emrah Dikici, Mingyuan Gao, Mehmet Odabaşı, Ömür Acet, Roland H. Stauber   +11 more
wiley   +1 more source

Integrating UAV-Derived Diameter Estimations and Machine Learning for Precision Cabbage Yield Mapping. [PDF]

Sensors (Basel)
Arab ST, Takezaki A, Kogoshi M, Nakano Y, Kikuchi S, Tanaka K, Hayashi K.   +6 more
europepmc   +1 more source

Nanobodies as next‐generation targeting platforms: From discovery technologies to translational biomedicine

VIEW, EarlyView.
Nanobodies, derived from the variable domains of camelid heavy‐chain‐only antibodies, have emerged as transformative biomedical tools due to their nanoscale size, exceptional stability, and unique capacity to recognize cryptic epitopes. This review provides a comprehensive overview of the field, outlining the structural and biochemical features of ...
Zhenrui Ye, Xianyang Li, Meixiao Zhan
wiley   +1 more source

Computational approaches for RNA structure prediction and design. [PDF]

Cell Rep Phys Sci
Kagaya Y, Liu B, Kihara D.
europepmc   +1 more source

Nanomedicine applications in lymphoma: Advancing precision diagnostics, targeted therapeutics, and prospective developments

VIEW, EarlyView.
Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf, Yara Mashal, Afeefa Rao, Nasar Ata, Arun K. Iyer, Farhan Shah   +5 more
wiley   +1 more source

Evaluation of IoT based smart safety systems for women and children using machine learning techniques. [PDF]

Sci Rep
Wagh NR, Sutar SR, Kadam VJ, Jadhav SM, Yadav AS, Pawar VS.   +5 more
europepmc   +1 more source

Multi‐Vine Disease Prediction in a Field Test Spanning Whole Growth Season at Wine‐Industrial Site (McLaren Vale)

Artificial Intelligence for Engineering, EarlyView.
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang, Nguyen Van Duc Long, Mst Irin Parvin, Philip Kwong, Vinay Pagay, Maria Maglieri, Steve Maglieri, Andrew Godfrey, Harpinder Sandhu, Kartheek Munigoti, Nicola Sasanelli, Pieter van Schalkwyk, Freya Richardson, Bhola Paudel, Pramod Gautam, Kashif Khaqan, Volker Hessel   +16 more
wiley   +1 more source

PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms.

Ecol Inform
Kovács DD, De Clerck E, Verrelst J.
europepmc   +1 more source