Results 221 to 230 of about 239,089 (293)

Atomically precise metal cluster enzymes for pathological tissue regeneration

BMEMat, EarlyView.
Schematic illustration of atomically precise metal cluster enzymes (MCEs) for pathological tissue regeneration. Atomically precise MCEs can modulate biological processes, such as attenuation of inflammatory responses, eradication of bacterial pathogens, regulation of angiogenesis, and promotion of cell development.
Ziqiang Xiong, Zhifeng Shi, Mengqing Li, Jien Han, Haoyan Chen, Maofei Ran, Shaojian Zhong, Limin Ma, Chengyun Ning, Youzhun Fan, Zhenghua Tang, Peng Yu   +11 more
wiley   +1 more source

Artificial neural network modeling and optimization of an electrochemical biosensor for plasma miR-155-based breast cancer detection. [PDF]

Sci Rep
Imani A, Hosseinpour S, Azimzadeh M, Salehi A.   +3 more
europepmc   +1 more source

Strategies for Realizing Industry 5.0 Inclusive Sustainability Goals for Sustainable Development: A Structured Framework for Overcoming Barriers and Guiding Transformation

Business Strategy and the Environment, EarlyView.
ABSTRACT Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions.
Mohammad Ali Beheshtinia, Ali Ghorbani, Masood Fathi, Morteza Ghobakhloo, Behzad Foroughi   +4 more
wiley   +1 more source

Application of adaptive GA-BPNN based on weibull distribution for autonomous greenhouse ventilation. [PDF]

Sci Rep
Wang ZY, Zhang CP, Alam M, Ho J.
europepmc   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

An intelligent prediction method for ROP in drilling based on optimized PSO-BP neural network. [PDF]

Sci Rep
Zou Z.
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

A hybrid AI-genetic algorithm framework for the optimization of polymer flooding strategies: a numerical simulation-based approach. [PDF]

Sci Rep
Nourizadeh M, Khosravi R, Simjoo M, Chahardowli M.   +3 more
europepmc   +1 more source

Optimization of CEST MRI Reporter Protein Design Using Cation‐Pi Networks

Chemistry – A European Journal, EarlyView.
A novel engineering approach can produce reporter proteins for cell and viral therapy tracking with unique magnetic resonance imaging (MRI) signatures, detectable with chemical exchange saturation transfer (CEST). We discover how cation‐π interactions between amino acid groups can help us fine‐tune magnetic resonance properties for noninvasive ...
David E. Korenchan, Ethan J. French, Emerenziana Runco, Chetan B. Dhakan, Jinwu Yan, Hiroshi Nakashima, Michael T. McMahon, Assaf A. Gilad, Christian T. Farrar   +8 more
wiley   +1 more source

Diffusion of Carbamazepine in Hydrophobic Zeolites: A Comparative Study Using Classical and Machine‐Learned Potentials

Chemistry – A European Journal, EarlyView.
Can hydrophobic, shape‐selective zeolites efficiently remove the persistent pharmaceutical CBZ from water? This work moves beyond the static picture of interaction energies by modeling diffusion with umbrella sampling and machine‐learned potentials. Even high intrinsic diffusion barriers can be overcome through exergonic adsorption from water, yielding
Jakob Brauer, Richard Kendra, Carlos Bornes, Lukáš Grajciar, Michael Fischer   +4 more
wiley   +1 more source