Results 91 to 100 of about 244,877 (310)

Formula (Fuaaila) in the Qur'an Al-Kareem between probabilistic interpretable and rhetoric miraculous

الأستاذ, 2017
The research started towards the establishment and construction to replace alongside their probabilistic interpretation hyperbolic and guidance may be intentional guidance.
Assist. Prof. Dr. Jenan Nadem Hameed, Instructor Nahida Ghazi Alwan Al-Timimi   +1 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

An Adaptive Ensemble Model Based on Deep Reinforcement Learning for the Prediction of Step-like Landslide Displacement

Remote Sensing
Accurate prediction of landslide displacement is crucial for hazard prevention. However, recurrent neural network (RNN) models have limitations in simultaneously capturing lag time and feature importance, and their black-box nature limits their ...
Tengfei Gu, Lei Huang, Shunyao Tian, Zhichao Zhang, Huan Zhang, Yanke Zhang   +5 more
doaj   +1 more source

Towards Self-Interpretable Graph-Level Anomaly Detection

, 2023
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable dissimilarity compared to the majority in a collection. However, current works primarily focus on evaluating graph-level abnormality while failing to provide meaningful ...
Liu, Y, Lu, Q, Zhang, LY, Li, F, Ding, K, Pan, S   +5 more
core  

Interpretable Generative Adversarial Networks

, 2022
Learning a disentangled representation is still a challenge in the field of the interpretability of generative adversarial networks (GANs). This paper proposes a generic method to modify a traditional GAN into an interpretable GAN, which ensures that ...
Diao, Boyu, Yao, Kelu, Zhang, Quanshi, Wang, Jin, Xu, Yongjun, Li, Chao   +5 more
core   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Estimating Ground-Level Hourly PM_2.5 Concentrations in Thailand Using Satellite Data: A Log-Linear Model With Sum Contrast Analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study introduces a novel method for estimating hourly concentrations of particulate matter 2.5 μm (PM2.5) using satellite data. The pollution control department of Thailand collected hourly PM2.5 data nationwide in 2020.
Suhaimee Buya, Hideomi Gokon, Hieu Chi Dam, Sasiporn Usanavasin, Jessada Karnjana   +4 more
doaj   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

How Interpretable Are Interpretable Graph Neural Networks? [PDF]

Interpretable graph neural networks (XGNNs ) are widely adopted in various scientific applications involving graph-structured data. Existing XGNNs predominantly adopt the attention-based mechanism to learn edge or node importance for extracting and ...
Chen, Yongqiang, Bian, Yatao, Cheng, James, Han, Bo   +3 more
core   +1 more source

Interpretable Multiclass Models for Corporate Credit Rating Capable of Expressing Doubt

Frontiers in Applied Mathematics and Statistics, 2016
Corporate credit rating is a process to classify commercial enterprises based on their creditworthiness. Machine learning algorithms can construct classification models, but in general they do not tend to be 100% accurate.
Lennart Obermann, Stephan Waack
doaj   +1 more source