Results 141 to 150 of about 176,852 (287)

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan   +5 more
wiley   +1 more source

Optimization and Cost Evaluation of an Autonomous Hybrid Renewable Energy System for Electrifying Rural Areas in Nigeria

open access: yesEnergy Science &Engineering, EarlyView.
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu   +7 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei   +2 more
wiley   +1 more source

PRMT5 Methylates and Stabilizes EphA2 via Inhibiting Its Ubiquitination and Degradation to Promote Nasopharyngeal Carcinoma Stem Cell Properties. [PDF]

open access: yesMedComm (2020)
Yu ZZ   +16 more
europepmc   +1 more source

Deep Learning for Pretreatment Imaging‐Based Tumor and Nodal Classification in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Network Meta‐Analysis

open access: yesHead &Neck, EarlyView.
ABSTRACT Background Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and treatment planning in HNSCC. Deep learning (DL) shows promise but is limited by methodological heterogeneity. Methods We conducted a systematic review and network meta‐analysis (PRISMA). Studies (
Jannik Ketschau   +10 more
wiley   +1 more source

ADNP regulates chromatin architecture and lineage fidelity during neural differentiation. [PDF]

open access: yesPLoS Genet
Wulfridge P   +5 more
europepmc   +1 more source

Somatic cell reprogramming for Parkinson's disease treatment

open access: yesIbrain, Volume 11, Issue 1, Page 59-73, Spring 2025.
The fundamental purpose of cell reprogramming to treat Parkinson's disease is to generate dopaminergic neurons (DAN) and do transplantation. There are two ways to accomplish this. One method is to induce cells into induced DA neurons (iDAN) directly or to induce cells into induced pluripotent stem cells and ultimately into iDAN in vitro. Another option
Xiaozhuo Li, Kevin Fang, Fengping Wang
wiley   +1 more source

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