Results 31 to 40 of about 37,630 (219)

Probability of sporadic lymphangioleiomyomatosis in women presenting with spontaneous pneumothorax

Orphanet Journal of Rare Diseases, 2023
Background Sporadic lymphangioleiomyomatosis (S-LAM) is a rare low-grade neoplasm of young women characterized by multiple pulmonary cysts leading to progressive dyspnea and recurrent spontaneous pneumothorax (SP).
Audrey Suter, Marie-Eve Müller, Cécile Daccord, Patrick Taffé, Romain Lazor   +4 more
doaj   +1 more source

Hardware Implementation of Bayesian Decision‐Making with Memristors

Advanced Electronic Materials
Brains perform decision‐making by Bayes theorem – events are quantified as probabilities and based on probability rules, computed to render the decisions.
Lekai Song, Pengyu Liu, Yang Liu, Jingfang Pei, Wenyu Cui, Songwei Liu, Yingyi Wen, Teng Ma, Kong‐Pang Pun, Leonard W. T. Ng, Guohua Hu   +10 more
doaj   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Quantitative assessment of thenar to evaluate hand function after stroke by Bayes discriminant

BMC Musculoskeletal Disorders, 2023
Background The incidence rate of stroke or cerebrovascular accidents ranks first in China. More than 85% of stroke patients have residual upper limb motor dysfunction, especially hand dysfunction.
Rui Li, Shuai Zheng, Yukang Zhang, Hongxia Zhang, Lijuan Du, Linggang Cheng, Hui Li, Wenkai Zhang, Kai Du, Wen He, Wei Zhang   +10 more
doaj   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Penalaran Berbasis Aturan Untuk Diagnosa Awal Penyakit Anjing Menggunakan Teorema Bayes

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2018
Many pets can be played with, socialize and even live together with humans. Numbers of animal clinics have increased to provide care for pets. This study focuses on Dog as pet. Desease and improper treatment of dog will adversely affect the Dog.
Sella Marselena, Ause Labellapansa, Abdul Syukur   +2 more
doaj   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures

Sensors, 2018
Optimizing an experimental design is a complex task when a model is required for indirect reconstruction of physical parameters from the sensor readings.
Guillermo Rus, Juan Melchor
doaj   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source