Academic Articles & Research Papers

Monolithic UV‐Laser Programming of Photothermally Meta‐Morphing SMA Structures: Dual‐Encoded Kirigami Mechanics and Photonic Absorbance

ABSTRACT Photothermal shape memory alloys (SMAs) offer a promising pathway toward wireless soft robotic systems, yet their practical implementation remains limited by reliance on heterogeneous coatings and multistep processing to achieve su...

Power and Energy Profiling of Scientific Applications on Distributed Systems

Power consumption is a troublesome design constraint for emergent systems such as IBM's BlueGene /L. If current trends continue, future petaflop systems will require 100 megawatts of power to maintain high-performance. To address this probl...

Visualizing Distributed System Executions

Distributed systems pose unique challenges for software developers. Understanding the system’s communication topology and reasoning about concurrent activities of system hosts can be difficult. The standard approach, analyzing system logs, ...

Cybersecurity

This interactive module explores essential cybersecurity topics such as phishing, data protection, and digital identity. Learners will analyze real-life scenarios, build technical vocabulary, and practice communication skills while discover...

Cellular neural networks

A novel class of information-processing systems called cellular neural networks is proposed. Like neural networks, they are large-scale nonlinear circuits which process signals in real time. Like cellular automata, they are made of a massiv...

Applications of Neural Networks in Electromagnetics

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

ViMeTGame: A serious games for virtual medical training of breast biopsy

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Early Stage Risk Identification and Governance of Major Emerging Infectious Diseases: A Double-Case Study Based on the Chinese Context

Xuefeng Li,1,2 Hui Jiang,1 Xiaoyu Liang1 1School of Engineering Science, University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China; 2School of Public Policy and Management, University of Chinese Academy of Scien...

Synthetic biology open language (SBOL) version 3.1.0

Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange informatio...

Introduction to Probability and Statistics

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and trad...

Reimagining research papers as interactive and reliable AI agents.

Incidence of suicidality in people with depression over a 10-year period treated by a large UK mental health service provider

We describe the incidence of suicidality (2007–2017) in people with depression treated by secondary mental healthcare services at South London and Maudsley NHS Trust (n = 26 412). We estimated yearly incidence of ‘suicidal ideation’ and ‘hi...

Natural language processing

Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...

MFSM: Chinese-English sentence alignment based on multi- feature self-attention mechanism fusion

Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

User‐guided global explanations for deep image recognition: A user study

Abstract We study a user‐guided approach for producing global explanations of deep networks for image recognition. The global explanations are produced with respect to a test data set and give the overall frequency of different “recognition...

Computer vision for computer games

The appeal of computer games may be enhanced by vision-based user inputs. The high speed and low cost requirements for near-term, mass-market game applications make system design challenging. The response time of the vision interface should...

Computer vision for interactive computer graphics

Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...

Machine learning and deep learning applications in microbiome research

The many microbial communities around us form interactive and dynamic ecosystems called microbiomes. Though concealed from the naked eye, microbiomes govern and influence macroscopic systems including human health, plant resilience, and bio...

Medical image segmentation using deep learning: A survey

Abstract Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. A comprehensive thematic survey on medical image segmentation us...