Results 141 to 150 of about 21,856 (215)

Telehealth pulmonary rehabilitation enhances functional capacity and quality of life in veterans with chronic obstructive pulmonary disease: a 12-week single-arm intervention study. [PDF]

Sci Rep
Ouattas A, Azarian M, Bryant MS, Nguyen CK, Rodriguez N, Torres Ruiz IP, Sharafkhaneh A, Najafi B.   +7 more
europepmc   +1 more source

Comparative efficacy and acceptability of sleep interventions for children and adolescents with autism spectrum disorders: a protocol for a systematic review and network meta-analysis. [PDF]

Syst Rev
Sakata M, Ostinelli EG, Yamamoto R, Oi H, Kikuchi S, Toyomoto R, Nakajima S, Ohashi K, Nogimura A, Yamada R, McLay L, Furukawa TA, Nagai Y, Yamada A.   +13 more
europepmc   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source

Personality is predictive of burnout but not of work engagement: A one-year prospective cohort study. [PDF]

PLoS One
Fukuzaki T, Iwata N.
europepmc   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Uncovering the Reasons Behind Maternal Care Dropout in Bangladesh: Cross-Sectional Study. [PDF]

JMIR Public Health Surveill
Alam SS, Sarkar P, Sarkar P, Rifat MA, Jahan S, Islam R, Jahan I, Saha S.   +7 more
europepmc   +1 more source

Cost‐Optimal Building Energy System Scheduling Integrating Solar Irradiance Forecasting via LSTM‐Attention‐TCN Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu, Jianyu Li, Yang Gao, Chuangyin Dang, Chao Tang, Yuansheng Li, Xinmiao Wang, Jinpeng Chen, Hongbo Gao, Xinyin Xu   +9 more
wiley   +1 more source

Assessment of long-term success rates between implant-supported overdentures and conventional complete dentures: A comparative clinical study. [PDF]

Bioinformation
Patidar A, Kaira LS, Agarwal N, Patel R, Laddha K, Singh G, Jain M.   +6 more
europepmc   +1 more source

Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Standard deep learning optimisation is typically conducted on shape‐fixed loss surfaces. However, shape‐fixed loss surfaces may impede optimisers from reaching flat regions closely associated with strong generalisation. In this work, we propose a new paradigm named deformation mapping to deform the loss surface during optimisation.
Liangming Chen, Longbang Wang, Man‐Fai Leung, Jianfeng Li, Long Jin   +4 more
wiley   +1 more source

Chronic Absence as a Public Health Priority: A Framework for Coordinated Action

The Milbank Quarterly, EarlyView.
Policy Points Chronic absence should be recognized as a public health indicator and early warning sign that systems are failing to meet the developmental, social, and health needs of students. Improving student attendance requires cross‐sector policy action across education, health, and public health to address the structural and social determinants of
CATHERINE FALCONER, MICHELLE SHANKAR, BETH D. MARSHALL, SARA B. JOHNSON, MEGAN M. TSCHUDY, ELLIOTT ATTISHA, JOSH SHARFSTEIN   +6 more
wiley   +1 more source