Results 121 to 130 of about 286,084 (291)

High Sensitivity Cardiac Troponin I Detection via MP‐Locked Aptamer and Multimeric DNAzyme‐Coupled Hyperbranched Hybridization Chain Reaction

Small, EarlyView.
We report a magnetic particle anchored locked aptamer platform integrated with hyperbranched HCR and DNAzyme amplification for enzyme‐free, ultrasensitive detection of cardiac troponin I. The assay achieves a 0.25 ng/L detection limit within 25 minutes and enables cross‐species MI detection, with machine learning classification reaching 90% accuracy ...
Sayantan Tripathy, Sahil Sharma, Ng Ka Wai, Siddhant Jaitpal, Anthony Dongchau, Saugat Bhattacharyya, Sonya R. Wesselowski, Ashley B. Saunders, Gerard L. Coté, Samuel B. Mabbott   +9 more
wiley   +1 more source

Predictive accuracy of boosted regression model in estimating risk of venous thromboembolism following minimally invasive radical surgery in pharmacological prophylaxis-naïve men with prostate cancer

World Journal of Surgical Oncology
Background Venous thromboembolism (VTE) is a potentially life-threatening but preventable complication after urological surgery. Physicians are faced with the challenges of weighing the risks and benefits of thromboprophylaxis given scanty evidence for ...
Chie Hui Leong, Sushil Rodrigues Ranjan, Anna Javed, Basim S.O. Alsaedi, Ghulam Nabi   +4 more
doaj   +1 more source

Heterogeneous Multilayer Nanopores via Chemically Tuned Dielectric Breakdown for Single‐Molecule Sensing

Small, EarlyView.
A scalable fabrication method based on chemically tuned controlled dielectric breakdown (CT‐CDB) enables heterogeneous multilayer nanopores integrating SiNx with 2D materials such as hBN, MoS2, and graphene. The resulting nanopores exhibit distinct electrokinetic behaviors and low noise, allowing structure‐dependent single‐protein sensing.
Chaoming Gu, Kamruzzaman Joty, Navod Thyashan, Ivan Vlassiouk, Liam Collins, Xingye Zhang, Christopher T. Nelson, Nathan Taton, Sangyoup Lee, Min Jun Kim   +9 more
wiley   +1 more source

Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation

Health Technology Assessment
Background Lung cancer is one of the most common types of cancer and the leading cause of cancer death in the United Kingdom. Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on ...
Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen   +13 more
doaj   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

Systems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza, Joshua Sutherland, Marc‐Andre Chavy‐Macdonald, Olivier L. de Weck   +3 more
wiley   +1 more source

A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation

Systems Engineering, EarlyView.
ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

Bottom Up Quotients and Residuals for Tree Languages

, 2015
In this paper, we extend the notion of tree language quotients to bottom-up quotients. Instead of computing the residual of a tree language from top to bottom and producing a list of tree languages, we show how to compute a set of k-ary trees, where k is
Champarnaud, Jean-Marc, Mignot, Ludovic, Ouali-Sebti, Nadia, Ziadi, Djelloul   +3 more
core  

Serendipitous ritualization: dynamics of lay connectivity in Chinese Buddhist temples and beyond Ritualisation fortuite : dynamique de la connectivité des laïques dans les temples bouddhistes chinois et au‐delà

Journal of the Royal Anthropological Institute, EarlyView.
This article contributes to rethinking the dichotomy between informal sociality and ritual formality by examining the occasional ritual encounters surrounding spirit‐tablet inscription in Chinese Buddhist temples. Rather than viewing rituals as enactments of established orders, it presents ritual engagement as a contingent process of relational ...
Yang Shen
wiley   +1 more source