Results 221 to 230 of about 3,084,416 (309)

Spin‐Selective Catalysts for Oxygen‐Involved Electrocatalysis

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The sluggish kinetics of oxygen‐involved electrocatalysis hinders the efficiency of the energy conversion process, which can be promoted by using spin‐polarized materials to conduct spin‐selective electron transfer. This review delivers a thorough and timely overview of state‐of‐the‐art spin‐selective catalysts, aiming to offer a clear route for ...
Haifan Li   +3 more
wiley   +1 more source

Energy Harvesting from CO2 Emission Exploiting Ionic Liquid‐Based Electrochemical Capacitor

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The concept proposes energy harvesting from CO2 emissions using ionic liquids (IL)‐based supercapacitor. By alternating CO2 and N2 gasses during electrode charging/discharging, the energy from salinity gradients is captured. ILs absorb CO2, altering electrode/IL interactions and generating electrical energy. This method introduces for the first time an
Davide Molino   +8 more
wiley   +1 more source

Risk Factors and Predictive Models for Sarcopenia in Older Adults

open access: yesAGING MEDICINE, EarlyView.
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang   +9 more
wiley   +1 more source

Identification and Classification Features of Patient Portal, A Systematic Review. [PDF]

open access: yesHealth Sci Rep
Norouzi Aval R   +4 more
europepmc   +1 more source

Risk Factors and Predictive Model for Ischemic Complications in Endovascular Treatment of Intracranial Aneurysms: Insights From a Large Patient Cohort

open access: yesAGING MEDICINE, EarlyView.
Independent risk factors for ischemic complications in endovascular treatment of intracranial aneurysms were identified using machine learning methods, and the first prediction model for ischemic complications of all intracranial aneurysms was constructed. Moreover, the model showed a stable and excellent predictive efficacy.
Jianwen Jia   +6 more
wiley   +1 more source

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