Results 51 to 60 of about 137,935 (294)
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
Probabilistic Forecasting of Available Load Supply Capacity for Renewable-Energy-Based Power Systems
In order to accurately analyze the load supply capability of power systems with high penetration of renewable energy generation, this paper proposes a probabilistic available load supply capability (ALSC) forecasting method.
Qizhuan Shao +6 more
doaj +1 more source
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
With the increasing demand of the power industry for load forecasting, improving the accuracy of power load forecasting has become increasingly important.
Wenhui Zeng +6 more
doaj +1 more source
Machine Learning for Load Forecasting in Power Systems
For the electrical sector, the analysis of massive volumes of data acquired from different electrical systems like Generation, Transmission, and Distribution plays a vital role. Without human interaction, control systems like SCADA and HMI are used to evaluate the data, which is retrieved from various electrical systems such as Generation, Transmission,
Satyanarayana Salava V. +1 more
openaire +2 more sources
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]
Electric load forecasting is essential to improve the reliability of the ac power line data network and provide optimal load scheduling in an intelligent home system.
Lam, HK, Leung, FHF, Ling, SH, Tam, PKS
core +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Jaringan Syaraf Tiruan Sebagai Metode Peramalan Beban Listrik Harian Di PT. Pismatex Pekalongan [PDF]
Load electricity forecasting of industry can provide an information support to the Top Management and other stakeholders in terms of estimating and monitoring the power requirements and effort in providing it. With the artificial neural network method as
Assaffat, L. (Luqman) +1 more
core
Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model
Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power ...
Khuntia, Swasti R. +2 more
core +1 more source

