Results 71 to 80 of about 14,024,113 (261)

Penerapan LSTM pada Prediksi Harga Saham BBCA: Akurasi dan Interpretabilitas Model

Edumatic
Financial market instability driven by volatility and stock–bond correlation increases the need for accurate stock price prediction for investment and risk management.
Rara Fazira, Sriani Sriani
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Physics-Guided Machine Learning for Predicting the Internal Temperature of Mushroom Bags

Agriculture
Accurate prediction of the internal temperature of mushroom bags is essential but remains challenging owing to the complex nonlinear coupling between ambient conditions and the bag’s thermal state.
Mingwen Shi, Xianpeng Sun, Xiaoying Ma, Xuelong Li, Jun Cao, Wei Qi, Hong Wang   +6 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Development of an interpretable machine learning model and web application for peri-colonoscopy hypoglycemia risk in hospitalized patients undergoing colonoscopy

Frontiers in Endocrinology
ObjectiveTo develop and externally validate a liquid neural network (LNN)-based model for predicting peri-procedural hypoglycemia in hospitalized patients undergoing colonoscopy, and to develop a cross-platform web application integrating real-time SHAP ...
Xiaodan Xu, Hang Zhao, Ganhong Wang, Kaijian Xia, Yu Ding, Jian Chen, Jian Chen   +6 more
doaj   +1 more source

Scale model of Sainte-Chapelle

, 1947
Model, detail on the north wall, originally the staircase (the Grands Degres); The Galerie des Moulages (cast collection) not only contains 19th plaster casts, but also scale models of buildings done by artisans on staff at the museum.
unknown (French model maker)
core  

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

Explainable Deep Learning for Diabetic Retinopathy Detection: A Quantitatively Validated Framework

Journal of Applied Informatics and Computing
Diabetic retinopathy (DR) is a leading cause of preventable blindness, where early and accurate detection is critical for effective intervention.
Tinashe Ngwazi, Belinda Ndlovu, Kudakwashe Maguraushe   +2 more
doaj   +1 more source

Paris on Stage: 1889-1914 [exhibition]; Cabaret de L’Enfer Model

, 2016
Model of the facade of L'Enfer (Hell); Le Ciel (Heaven) is not shown, it was to the immediate left; A scale model, part of the Paris on Stage: 1889-1914 exhibition held June 19, 2013 to February 23, 2014.
unknown (Canadian model maker)
core  

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source