Results 71 to 80 of about 4,205,927 (281)

Intelligent defect classification system based on deep learning

Advances in Mechanical Engineering, 2018
A fast and intelligent defect classification system for distinguishing defect features is developed in this study. Defect images obtained from an automated optical inspection instrument are first trained utilizing a deep learning approach based on the ...
Ruifang Ye, Chia-Sheng Pan, Ming Chang, Qing Yu   +3 more
doaj   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Explainable predictive process monitoring: a user evaluation

Process Science
Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also happens in the Predictive Process Monitoring field, where predictions, obtained by applying Machine Learning techniques, need to be explained to users, so as to gain their ...
Rizzi, Williams, Comuzzi, Marco, Di Francescomarino, Chiara, Ghidini, Chiara, Lee, Suhwan, Maggi, Fabrizio Maria, Nolte, Alexander   +6 more
openaire   +4 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Fault Diagnostics Based on the Analysis of Probability Distributions Estimated Using a Particle Filter

Sensors
This paper proposes a monitoring procedure based on characterizing state probability distributions estimated using particle filters. The work highlights what types of information can be obtained during state estimation and how the revealed information ...
András Darányi, János Abonyi
doaj   +1 more source

Intergration of control chart and pattern recognizer for bivariate quality control [PDF]

, 2015
Monitoring and diagnosis of mean shifts in manufacturing processes become more challenging when involving two or more correlated variables. Unfortunately, most of the existing multivariate statistical process control schemes are only effective in rapid ...
Mohd Sohaimi, Nurul Adlihisam
core  

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Model-Centric Integration of Uncertain Expert Knowledge into Importance Sampling-Based Parameter Estimation

Applied Sciences
This study presents a model-based parameter estimation method for integrating and validating uncertainty in expert knowledge and simulation models. The parameters of the models of complex systems are often unknown due to a lack of measurement data.
Éva Kenyeres, János Abonyi
doaj   +1 more source