Results 111 to 120 of about 4,214,964 (288)

A Study of Data-driven Methods for Inventory Optimization

CoRR
This paper shows a comprehensive analysis of three algorithms (Time Series, Random Forest (RF) and Deep Reinforcement Learning) into three inventory models (the Lost Sales, Dual-Sourcing and Multi-Echelon Inventory Model). These methodologies are applied in the supermarket context.
Lee Yeung Ping, Patrick Wong, Tan Cheng Han   +2 more
openaire   +2 more sources

A Comparison of Data‐Driven Groundwater Vulnerability Assessment Methods

Groundwater, 2013
Increasing availability of geo‐environmental data has promoted the use of statistical methods to assess groundwater vulnerability. Nitrate is a widespread anthropogenic contaminant in groundwater and its occurrence can be used to identify aquifer settings vulnerable to contamination. In this study, multivariate Weights of Evidence (
A. Sorichetta, C. Ballabio, M. Masetti, G. R. Robinson, STERLACCHINI, SIMONE   +4 more
openaire   +5 more sources

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

MagNet Challenge for Data-Driven Power Magnetics Modeling

IEEE Open Journal of Power Electronics
This article summarizes the main results and contributions of the MagNet Challenge 2023, an open-source research initiative for data-driven modeling of power magnetic materials.
Minjie Chen, Haoran Li, Shukai Wang, Thomas Guillod, Diego Serrano, Nikolas Forster, Wilhelm Kirchgassner, Till Piepenbrock, Oliver Schweins, Oliver Wallscheid, Qiujie Huang, Yang Li, Yu Dou, Bo Li, Sinan Li, Emmanuel Havugimana, Vivek Thomas Chacko, Sritharini Radhakrishnan, Mike Ranjram, Bailey Sauter, Skye Reese, Shivangi Sinha, Lizhong Zhang, Tom McKeague, Binyu Cui, Navid Rasekh, Jun Wang, Song Liu, Alfonso Martinez, Xinyu Liu, Chaoying Mei, Rui Zhao, Gaoyuan Wu, Hao Wu, Rui Zhang, Hao Song, Lie Zhang, Yibo Lu, Lijun Hang, Neha Rajput, Himanshu Bhusan Sandhibigraha, Neeraj Agrawal, Vishnu Mahadeva Iyer, Xiaobing Shen, Fanghao Tian, Qingcheng Sui, Jiaze Kong, Wilmar Martinez, Asier Arruti, Borja Alberdi, Anartz Agote, Iosu Aizpuru, Minmin Zhang, Xia Chen, Yuchen Dong, Duo Wang, Tianming Shen, Yan Zhou, Yaohua Li, Sicheng Wang, Yue Wu, Yongbin Jiang, Ziheng Xiao, Yi Tang, Yun-Shan Hsieh, Jian-De Li, Li-Chen Yu, Tzu-Chieh Hsu, Yu-Chen Liu, Chin-Hsien Hsia, Chen Chen, Alessio Giuffrida, Nicolo Lombardo, Fabio Marmello, Simone Morra, Marco Pasquale, Luigi Solimene, Carlo Stefano Ragusa, Jacob Reynvaan, Martin Stoiber, Chengbo Li, Wei Qin, Xiang Ma, Boyu Zhang, Zheng Wang, Ming Cheng, Wei Xu, Jiyao Wang, Youkang Hu, Jing Xu, Zhongqi Shi, Dixant Bikal Sapkota, Puskar Neupane, Mecon Joshi, Shahabuddin Khan, Bowen Su, Yunhao Xiao, Min Yang, Kai Sun, Zhengzhao Li, Reza Mirzadarani, Ruijun Liu, Lu Wang, Tianming Luo, Dingsihao Lyu, Mohamad Ghaffarian Niasar, Zian Qin, Syed Irfan Ali Meerza, Kody Froehle, Han Cui, Daniel Costinett, Jian Liu, Zhanlei Liu, Cao Zhan, Yongliang Dang, Yukun Zhang, Na Wang, Yiting Chen, Yiming Zhang, Chushan Li, Yinan Yao, Tianxiang Hu, Lumeng Xu, Yiyi Wang, Sichen Wang, Shuai Jiang, David Shumacher, Dragan Maksimovic, Ron S. Y. Hui, Johann W. Kolar, David J. Perreault, Charles R. Sullivan   +131 more
doaj   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source

On the Predictability of non-CGM Diabetes Data for Personalized Recommendation

, 2018
With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always available, e.g., for a patient at home.
Nguyen, Tu Ngoc, Rokicki, Markus
core  

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

A Data-Driven Method for INS/DVL Alignment

OCEANS 2025 - Great Lakes
Autonomous underwater vehicles (AUVs) are sophisticated robotic platforms crucial for a wide range of applications. The accuracy of AUV navigation systems is critical to their success. Inertial sensors and Doppler velocity logs (DVL) fusion is a promising solution for long-range underwater navigation.
Guy Damari, Itzik Klein
openaire   +2 more sources

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source