Results 41 to 50 of about 182,970 (219)

A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection

IEEE Access
To enhance public safety, crowd detection and prevention systems have essentially become a natural means to manage diverse crowded areas, such as urban settings, transportation hubs, and event venues.
Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan   +6 more
doaj   +1 more source

Ubiquitination in cancer: mechanisms and therapeutic opportunities

Cancer Communications, EarlyView.
Abstract Ubiquitination, a key post‐translational modification, plays an essential role in tumor biology by regulating fundamental cellular processes, such as metabolism and cell death. Additionally, it interacts with other post‐translational modifications, which are closely linked to tumorigenesis, tumor progression, the tumor microenvironment, and ...
Susi Zhu, Xu Zhang, Waner Liu, Zhe Zhou, Siyu Xiong, Jie Li, Xiang Chen, Cong Peng   +7 more
wiley   +1 more source

Blackboard Agents for Standard Arabic Language Tokenization and Parsing

Journal of Engineering and Sustainable Development, 2010
The Processing of the Arabic language is a difficult mission comparing it with other languages. Because Sentences in Arabic language are complex, longer than the others in various languages, and have difficult structure with lattices.
Abdul Kareem Murhij Radhi
doaj  

A switchable multifunctional artificial neuron with rate coding and time‐to‐first‐spike coding for accurate image recognition

FlexMat, EarlyView.
A switchable multifunctional artificial neuron device is presented. This device can switch between volatile and non‐volatile modes by changing the position of the electrode contacts. Based on the multi‐functionality of the device, rate coding and time‐to‐first‐spike (TTFS) coding were respectively implemented and applied to image recognition, this ...
Weiqi Liu, Chenhui Xu, Weidong Xie, Jiabin Ye, Zhiwei Zhu, Zhenyuan Lin, Huipeng Chen   +6 more
wiley   +1 more source

A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers

Journal of Applied Econometrics, EarlyView.
ABSTRACT This paper views career growth in teacher quality through the lens of human capital theory to understand the roles of on‐the‐job training (OJT) and learning by doing (LBD) in human capital formation. If OJT is the primary determinant of human capital, incentive pay policies could create a dynamic multitasking problem, leading teachers to ...
Nirav Mehta
wiley   +1 more source

A hybrid top-down, bottom-up approach for 3D space parsing using dense RGB point clouds [PDF]

, 2023
M. Mehranfar, Alexander Braun, A. Borrmann   +2 more
openalex   +1 more source

Diagnosing coastal processes using machine learning and ocean buoyancy gliders

Limnology and Oceanography, EarlyView.
Abstract Ocean buoyancy gliders provide a comprehensive view of the water column, offering more than simply a snapshot of a single moment in time or space. In this study, we applied the established machine learning method, k‐means clustering, to a glider dataset collected in the summer of 2015 in the northern Gulf of Mexico.
Robert L. Iles IV, Steven F. DiMarco, Gerardo Gold‐Bouchot, Anthony H. Knap   +3 more
wiley   +1 more source

Cortical Effects of Dopamine Replacement Account for Clinical Response Variability in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Individual variability in clinical response to dopamine replacement therapy (DRT) is a key barrier to efficacious treatment for patients with Parkinson's disease (PD). A better understanding of the neurobiological sources of such interindividual differences is necessary to personalize DRT prescribing, inform future clinical ...
Alex I. Wiesman, Mikkel C. Vinding, Panagiota Tsitsi, Per Svenningsson, Josefine Waldthaler, Daniel Lundqvist   +5 more
wiley   +1 more source

Fecal Metaproteomics as a Tool to Monitor Functional Modifications Induced in the Gut Microbiota by Ketogenic Diet: A Case Study

PROTEOMICS, EarlyView.
ABSTRACT Metaproteomics is a valuable approach to characterize the biological functions involved in the gut microbiota (GM) response to dietary interventions. Ketogenic diets (KDs) are very effective in controlling seizure severity and frequency in drug‐resistant epilepsy (DRE) and in the weight loss management in obese/overweight individuals.
Alessandro Tanca, Simona Masia, Piero Giustacchini, Sergio Uzzau   +3 more
wiley   +1 more source

Bioinformatics‐Based Comparative Analysis of the Human Retina Proteome

PROTEOMICS – Clinical Applications, EarlyView.
ABSTRACT Introduction The human retina relies on a complex network of proteins, many of which exhibit intrinsic disorder and liquid‐liquid phase separation (LLPS), enabling dynamic interactions for retinal function. Disruptions in these properties, along with missense mutations, have been linked to retinal diseases.
Colin K. Kim, Mak B. Djulbegovic, David Broytman, Nedym Hadzijahic, Michael Antonietti, David J. Taylor Gonzalez, Vladimir N. Uversky, Nicolas A. Yannuzzi, Carol L. Karp   +8 more
wiley   +1 more source