Results 91 to 100 of about 136,224 (252)

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

On fitting and forecasting the log-returns of Bitcoin and Ethereum exchange rates via a new sine-based logistic model and robust regression methods

Alexandria Engineering Journal
Among the different financial sectors, the modeling and forecasting of log-returns of cryptocurrency have received considerable attention. Numerous statistical models have been put forward to analyze the log returns of the cryptocurrency. However, as per
Yiming Zhao, Sultan Salem, Areej M. AL-Zaydi, Jin-Taek Seong, Fatimah M. Alghamdi, M. Yusuf   +5 more
doaj   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

A flexible extension of the log-logistic model with diverse failure rate shapes and applications

Scientific Reports
In this article, we introduce an enhanced version of the log-logistic model, termed the Kumaraswamy alpha-power log-logistic (KAPLL) distribution.
Ahmed Z. Afify, Mohamed E. Mead, Hamada H. Hassan, Abdussalam Aljadani, Abdulaziz S. Alghamdi, Enayat M. Abd Elrazik   +5 more
doaj   +1 more source

Orbitally Stability of Log-Logistic Autoregressive Model with Application

Tikrit Journal of Pure Science
This research aims to study and finding the conditions for stability of the limit cycle of the proposed model (Log-Logistic autoregressive) based on the cumulative function of the Log-Logistic distribution.
Mohammed A. Hamad, Azher A. Mohammad
doaj   +1 more source

Bioengineered Exosome‐Loaded Immunomodulatory Bioadhesive Spray Reverses Liver Fibrosis and Metabolic Dysfunction That Triggers Beneficial Gut‐Liver Crosstalk in Chronic Fatty Liver Disease

Advanced Science, EarlyView.
Umbilical cord stem cell‐derived exosomes encapsulated in an immunomodulatory bioadhesive hydrogel spray enable localized therapy, sustained vesicle delivery, macrophage polarization, suppress systemic inflammation, and mitigate glucose and insulin homeostasis impairments in MAFLD.
Triya Saha, Ayushi Mairal, Shreya Mehrotra, Shiv K. Sarin, Ashok Kumar   +4 more
wiley   +1 more source

Detecting Clinical Risk Shift Through log–logistic Hazard Change-Point Model

Mathematics
The change–point problem is about identifying when a pattern or trend shifts in time–ordered data. In survival analysis, change–point detection focuses on identifying alterations in the distribution of time–to–event data, which may be subject to ...
Shobhana Selvaraj Nadar, Vasudha Upadhyay, Savitri Joshi   +2 more
doaj   +1 more source

Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population‐Based Study and Gut Microbiota Analysis

Advanced Science, EarlyView.
Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi, Xinmei Li, Yufan Hao, Qiaoyu Wu, Yuji Yu, Siyu Li, Nuo Xu, Yi‐Hsuan Wu, Eunhye Lee, Chi Chang, Emily Hu, Ying Lu, Elizabeth Delzell, Ann W. Hsing, Shankuan Zhu   +14 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Different Classical and Bayesian Methods of Estimation of the Power Log-Logistic Distribution with Applications

Axioms
A new approach in constructing a univariate absolutely continuous probability model via power transformation is adopted. The proposed distribution appears to subsume several popular univariate continuous probability models that are already existent in ...
Indranil Ghosh, Devendra Kumar, Subhankar Dutta   +2 more
doaj   +1 more source