Results 181 to 190 of about 27,771 (301)

PERBANDINGAN SINGLE EXPONENTIAL SMOOTHING DAN DOUBLE EXPONENTIAL SMOOTHING PADA PENJUALAN OBAT DI APOTEK CATUR ASA [PDF]

PERBANDINGAN SINGLE EXPONENTIAL SMOOTHING DAN DOUBLE EXPONENTIAL SMOOTHING PADA PENJUALAN OBAT DI APOTEK CATUR ASA Riqo Rastra Wicaksana 1, Moh.
WICAKSANA, RICO RASTRA
core  

Celastrol‐Loaded Conductive Hydrogel Mitigates Myocardial Ischemia‐Reperfusion Injury and Restores Electrophysiological Function

Advanced Science, EarlyView.
Schematic illustration of the Pluronic F127 diacrylate/gelatin methacryloyl/poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate)/celastrol hydrogel (FGPC) for localized myocardial ischemia–reperfusion injury treatment. FGPC combines sustained celastrol delivery with PEDOT:PSS‐mediated conductive support to attenuate acute oxidative/inflammatory ...
Shixin Wang, Shaojie Chen, Chengzong Li, Hongyi Cheng, Jincheng Jiao, Xiafeng Peng, Yike Zhang, Wei Sun, Feng Zhang, Chang Cui, Minglong Chen   +10 more
wiley   +1 more source

A Novel Theoretical Framework for Exponential Smoothing [PDF]

Simple Exponential Smoothing is a classical technique used for smoothing time series data by assigning exponentially decreasing weights to past observations through a recursive equation; it is sometimes presented as a rule of thumb procedure.
Lanconelli, Alberto, Bernardi, Enrico, Lauria, Christopher S. A.   +2 more
core   +1 more source

Prediction of acute onset of chronic cor pulmonale: comparative analysis of Holt-Winters exponential smoothing and ARIMA model. [PDF]

BMC Med Res Methodol
Wang N, Zhuang W, Ran Z, Wan P, Fu J.
europepmc   +1 more source

Short-Term PM2.5 Forecasting Using Exponential Smoothing Method: A Comparative Analysis. [PDF]

Sensors (Basel), 2018
Mahajan S, Chen LJ, Tsai TC.
europepmc   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Structural and Compositional Effects on the Scintillation Properties of Fast Emitting Metal‐Organic Frameworks

Advanced Science, EarlyView.
The crystalline structure, the atomic numbers of the constituent elementsand the size of MOF crystals each influence their photoluminescence and scintillation properties in distinct ways. Together, these factors provide valuable guidelines for designing systems with optimized performance and tunable timing characteristics, arising from the synergistic ...
Francesca Cova, Jacopo Perego, Biplab Joarder, Nobuhiro Yanai, Anna Vedda, Silvia Bracco, Angiolina Comotti, Angelo Monguzzi, Irene Villa   +8 more
wiley   +1 more source

Trends of reported human brucellosis cases in mainland China from 2007 to 2017: an exponential smoothing time series analysis. [PDF]

Environ Health Prev Med, 2018
Guan P, Wu W, Huang D.
europepmc   +1 more source

N‐Doping Activated Presodiation Enhances Sodium‐Ion Provision in Hard Carbon Anodes

Advanced Science, EarlyView.
Introducing pyrrolic‐N sites enables efficient presodiation and stronger PF6− capture, thus pre ‐ forming a robust inorganic‐rich SEI layer in hard carbon anodes. ABSTRACT Hard carbon (HC) is considered the most promising anode material for commercial sodium‐ion batteries (SIBs), yet it still faces critical challenges such as low initial Coulombic ...
Hua Lin, Wenxing Miao, Yanrong Shi, Guangyi Mao, Ding Ding, Jian Weng, Zhongxiong Fan, Qingchi Xu, Jun Xu   +8 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source