IoT-based demand-side energy management: Enhancing peak hour efficiency through automated control of appliances [0.03%]
基于物联网的电力需求侧管理：通过家电自动化控制提高高峰负荷时段效率
Exaud Tweve,Godiana Philipo,Baraka Kichonge et al.
Exaud Tweve et al.
Industrial solar microgrids experience pronounced peak demand due to aggregated production processes, auxiliary systems, and shift-based operation. Conventional demand response approaches rely on voluntary participation and aggregated energ...
Editorial Note: Immuno-PCR - A New Tool for Paleomicrobiology: The Plague Paradigm [0.03%]
编辑部寄语：免疫聚合酶链式反应——古微生物学的新工具：以鼠疫耶尔森菌为例
PLOS One Editors
PLOS One Editors
Editorial Note: Environmental justice and power plant emissions in the Regional Greenhouse Gas Initiative states [0.03%]
编者按：区域温室气体倡议州的环保正义与火电站排放问题
PLOS One Editors
PLOS One Editors
Editorial Note: A high-quality severe combined immunodeficiency (SCID) rat bioresource [0.03%]
编者按：高质量重度联合免疫缺陷（SCID） rats 科学资源
PLOS OneEditors
PLOS OneEditors
A service provider perspective in Irish horseracing on the availability of retirement specific support services for professional jockeys and perceived barriers and facilitators to their use [0.03%]
从爱尔兰赛马业服务提供者的角度看专业骑师退休支援服务的可用性、使用障碍及促进因素
Laura Langton,Sarah Jane Cullen,Giles Warrington et al.
Laura Langton et al.
Retirement can come at any time in horse racing due to the unpredictable nature of the sport. Preplanning for the retirement transition in sport has been reported to lead to faster adjustment to retirement and better transition for athletes...
Njideka Sanya,Jessica Gaber,Alice Cavanagh et al.
Njideka Sanya et al.
The number of older adults aged 50 years and above who are incarcerated is increasing rapidly around the world. Providing high quality healthcare for aging incarcerated populations requires tailored services and approaches that consider the...
A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection [0.03%]
一种基于GAN模态融合的多模深度学习框架用于提高滑坡灾害识别能力
R Srivats,Deepika Roselind Johnson,G Logeswari et al.
R Srivats et al.
The proposed work presents a hybrid deep learning framework that integrates four pre-trained Convolutional Neural Networks that include VGG16, DenseNet201, ResNet50 and InceptionV3. The pre-trained CNNs are combined with a GAN-based adversa...
Exclusive breast feeding practice and associated factors among Rural and Urban mothers of child aged 0-6 months in Tahtay Maichew District of Tigray, Ethiopia, 2023/2024: Comparative cross sectional study [0.03%]
埃塞俄比亚塔哈特迈乔区2023-2024年0-6月龄农村和城市母亲的纯母乳喂养实践及其相关因素：一项基于城乡母亲的横断面研究比较
Mebrahtom Birhane Tikue,Teklay Zeru Weldearegawi,Teklemariam Gebregziabher Goitom et al.
Mebrahtom Birhane Tikue et al.
Background: The most well- recognized method of feeding a baby is breastfeeding. Out of all the preventive measures, breastfeeding and supplemental feeding have the most impact on child mortality for infants and young chi...
Comparative Study
PloS one. 2026 Apr 30;21(4):e0344163. DOI:10.1371/journal.pone.0344163 2026
A robust multi-location evaluation of a machine learning framework for wind power forecasting [0.03%]
一种风电功率预测机器学习框架的多地点鲁棒性评估方法研究
Usman Ali,Muhammad Sufyan,Shahzad Ali et al.
Usman Ali et al.
Wind is a highly effective and environmentally friendly renewable energy source. As the global development of wind farms continues, accurate wind power prediction has become essential for ensuring consistent energy production. Machine learn...