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Results: 1543
Dumbbell shaped craniorbital cavernous hemangioma
Xingping Qin, Farhana Akter, Lingxia Qin, Qiurong Xie, Yanfei Li, Hongkuan Yang, Xin Li, Guo Zhang, Songlin Wu, Renzhong Liu
Jun 06, 2020
Abstract: Background: Cavernous hemangioma of the orbit is a benign tumor mostly located behind the eye globe, but it rarely spread into the brain, which is called cerebral cavernous malformation as well, the lesion in the brain...
Dumbbell shaped craniorbital cavernous hemangioma.
Xingping Qin, Farhana Akter, Lingxia Qin, Qiurong Xie, Yanfei Li, Hongkuan Yang, Xin Li, Guo Zhang, Songlin Wu, Renzhong Liu
Apr 22, 2021
BACKGROUND: Cavernous hemangioma of the orbit is a benign tumor mostly located behind the eye globe, but it rarely spread into the brain, which is called cerebral cavernous malformation as well, the lesion in the brain is...
Predicting Stock Trends Using Web Semantics and Feature Fusion
Stock data are characterized by high dimensionality and sparsity, making stock trend prediction highly challenging. Although the Light Gradient Boosting Machine (LightGBM), based on web semantics, excels at capturing global...
Published by: IGI Global Scientific Publishing
Assessing the Technological Pedagogical Content Knowledge of Pre-Service Science Teachers at a South African University
The purpose of this study was to investigate preservice science teachers' proficiency levels regarding their practical knowledge of technological pedagogical content knowledge (TPACK-P). A sample of 103 third- and fourth-year...
Published by: IGI Global Scientific Publishing
Forecast with Forecasts
Forecast combinations have been widely applied in the last few decades to improve forecasting. Estimating optimal weights that can outperform simple averages is not always an easy task. In recent years, the idea of using time...
Improving forecasting by subsampling seasonal time series
Time series forecasting plays an increasingly important role in modern business decisions. In today's data-rich environment, people often aim to choose the optimal forecasting model for their data. However, identifying the...
Large Language Models
ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating...
Winthrop to Host Day of Percussion April 4
Winthrop University
Jan 01, 0001
Events include clinics with She-e Wu, N. Scott Robinson and Omar Carmenates. This is the third time Winthrop has hosted the SCPAS Day of Percussion.
Published by: Winthrop University
Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies
The uncertainty estimation of feature-based forecast combinations
Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the forecast uncertainty facilitates several operations management activities, predominantly in...
Research on Irregular Flight Recovery Strategy Under Different Flight Route Types With Big Data Computing
During periods of extreme weather conditions, airport closures, or other unforeseen circumstances, air-lines frequently encounter disruptions in their flight schedules, posing flight recovery as a recurrent operational...
Published by: IGI Global Scientific Publishing
Summer 2013
Friends of Dacus Library
Jan 01, 0001
Inside this Issue:
Bela and M.H. Herlong Book Talk Success of April 8Welcome New WU President ComstockMergers, Mayhem and More -- Dean HerringA Note From the Chair -- Dr. WeaverMember Application
Academic libraries--South Carolina--Rock Hill--Periodicals; Friends of Dacus Library--Periodicals; Ida Jane Dacus Library--Periodicals; Winthrop University--Libraries--Periodicals. Library and Information Science
Published by: Winthrop University
HyExo
The development of assistive lower-limb exoskeletons gains prominence for human load-carrying augmentation. Hydraulic transmission has attractive hydrostatic features and lower inertia at the end of human limbs. However, few...
The uncertainty estimation of feature-based forecast combinations
Forecasting is an indispensable element of operational research (OR) and an important aid to planning. The accurate estimation of the forecast uncertainty facilitates several operations management activities, predominantly in...
Improving forecasting by subsampling seasonal time series
Time series forecasting plays an increasingly important role in modern business decisions. In today's data-rich environment, people often aim to choose the optimal forecasting model for their data. However, identifying the...
HyExo
The development of assistive lower-limb exoskeletons gains prominence for human load-carrying augmentation. Hydraulic transmission has attractive hydrostatic features and lower inertia at the end of human limbs. However, few...
'Reasons to Be Pretty' Tackles Society's Obsession with Beauty
Winthrop University
Jan 01, 0001
Show times are 8 p.m. Oct. 22-25 and 2 p.m. Oct. 26. Tickets are $5 w/ a WU ID Oct. 23-23 and $10 w/o; tickets are $8 w/ an ID and $15 without on other show dates. The Winthrop University Department of Theatre and Dance...
Published by: Winthrop University
On the investigation of composite cooling/heating set gel systems based on rice starch and curdlan
Jing Wang, Qianhui Ma, Pingxiong Cai, Xinyu Sun, Qingjie Sun, Man Li, Yanfei Wang, Lei Zhong, Fengwei Xie
Apr 16, 2024
In pursuit of advancing the understanding of composite gel systems, this study delves into the intricate realm of rheology, structural elucidation, and mechanical attributes. Specifically, it scrutinizes the symbiotic...
Bernoulli decomposition and arithmetical independence between sequences
HAN YU
Jan 31, 2020
t. In this paper, we study the set
A = {p(n) + 2
n
d mod 1 : n ≥ 1} ⊂ [0, 1],
where p is a polynomial with at least one irrational coefficient on non-constant terms, d is any real number and, for a ∈ [0, ∞), a mod 1 is the...
Forecast with Forecasts
Forecast combinations have been widely applied in the last few decades to improve forecasting. Estimating optimal weights that can outperform simple averages is not always an easy task. In recent years, the idea of using time...
Large Language Models
ChatGPT, a state-of-the-art large language model (LLM), is revolutionizing the AI field by exhibiting humanlike skills in a range of tasks that include understanding and answering natural language questions, translating...
Feature-based intermittent demand forecast combinations
Intermittent demand forecasting is a ubiquitous and challenging problem in production systems and supply chain management. In recent years, there has been a growing focus on developing forecasting approaches for intermittent...
Feature-based intermittent demand forecast combinations
Intermittent demand forecasting is a ubiquitous and challenging problem in production systems and supply chain management. In recent years, there has been a growing focus on developing forecasting approaches for intermittent...
General Type-2 Radial Basis Function Neural Network
This paper proposes a new General Type-2 Radial Basis Function Neural Network (GT2-RBFNN) that is functionally equivalent to a GT2 Fuzzy Logic System (FLS) of either Takagi-Sugeno-Kang (TSK) or Mamdani type. The neural...
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