Results 211 to 220 of about 713,469 (282)

Real‐time biosensing of Parkinson's disease biomarkers via NIR‐activated upconversion nanoparticles

BMEMat, EarlyView.
Schematic illustration of the luminescence resonance energy transfer‐driven core‐shell‐shell UCNPs (cssUCNPs@Fluo4) nanoprobe for simultaneous monitoring of Ca²⁺‐temperature dynamics in Parkinson's disease models. Abstract Parkinson's disease (PD) is a progressive neurodegenerative disorder with incompletely understood pathophysiology, necessitating ...
Jialin Liu, Nan Li, Yu Chen, Rui Pu, Wei Wei, Yunqi Lin, Lejing Li, Yao Lu, Jianhua Hao, Lihua Li   +9 more
wiley   +1 more source

Adversarial path planning for optimal CCTV surveillance: a case study on nuclear facility security optimization. [PDF]

Sci Rep
Salman AE, Shaaban N, Zidan WI, Saad MH.
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

Gas network value chain optimization considering compressor capacity constraints. [PDF]

PLoS One
Qiu J, Zhao L, Ning X, Yu D.
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

Analytical solutions and dynamic behavior of conformable fractional reaction-diffusion systems. [PDF]

Sci Rep
Alshehry AS, Shah R, Alqahtani AM.
europepmc   +1 more source

Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches

Behavioral Sciences &the Law, EarlyView.
ABSTRACT As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests).
Danielle J. Rieger, Ralph C. Serin, Shelley L. Brown   +2 more
wiley   +1 more source

A fractional model based on caputo derivative for tuberculosis transmission using real data from Kenya. [PDF]

Sci Rep
Bhatia B, Bhatter S, Purohit SD, Baleanu D, Suthar DL.   +4 more
europepmc   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

User-Side Long-Baseline Undifferenced Network RTK Positioning Under Geomagnetic Storm Conditions Using a Power Spectral Density-Constrained Ionospheric Delay Model. [PDF]

Sensors (Basel)
Wang Y, Zhu H, Xu Q, Li J, Song C, Li B.
europepmc   +1 more source