Results 91 to 100 of about 86,568 (264)

Pain and Patient‐Reported Physical Function Did Not Differ Among Body Composition Profiles in Patients With Hip Osteoarthritis

open access: yesArthritis Care &Research, EarlyView.
Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan   +10 more
wiley   +1 more source

An integrated planning framework for optimal power generation portfolio including frequency and reserve requirements

open access: yesIET Energy Systems Integration
Electricity system decarbonisation poses several challenges to network stability and supply security, given renewables' intermittency and possible reduction of system inertia.
Olayinka Ayo, Paola Falugi, Goran Strbac
doaj   +1 more source

Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints

open access: yesInternational Journal of Electrical Power & Energy Systems
Under the “dual-carbon” goals, the integration of high-proportion renewable energy has amplified operational uncertainties in new power systems, posing novel challenges to the economic planning of generation system expansion.
Danyang Li   +4 more
doaj   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang   +21 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

Reliability criteria in power generation expansion planning

open access: yes, 2018
The starting point of security of supply and generation expansion planning analysis of today's power systems are the policies which greatly defines the organization and business environment of power systems. One of the most important EU foundation policies is the organization of a common pan-European energy market, i.e. a common electricity market. The
Slipac, Goran, Zeljko, Mladen
openaire   +4 more sources

El Salvador plans geothermal power generation

open access: yesEos, Transactions American Geophysical Union, 1971
A recently completed United Nations study has concluded that geothermal power represents a significant source of indigenous energy in El Salvador, which lies within the main volcanic belt of Central America. At present the principal source of electricity in El Salvador is hydropower, supplemented by imported fuel‐based thermal power.Due to the rapid ...
openaire   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

open access: yesArthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale   +6 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +2 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

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