Results 241 to 250 of about 3,048,133 (363)
The rates and characteristics of drunkorexia in a non-clinical group of adults declaring alcohol consumption. [PDF]
Różycka J+3 more
europepmc +1 more source
This review explores how in situ and operando spectroscopic techniques reveal the real‐time behavior of reticular materials, including MOFs and COFs. These methods track material formation and functionalization, structural changes, defect formation, dynamic responses to external triggers, and catalytic processes.
Bettina Baumgartner+4 more
wiley +1 more source
"Fun for some, terrible for others" Gender, risk and responsibility in young people's stories about alcohol consumption. [PDF]
Rúdólfsdóttir AG, Guðjohnsen RÞ.
europepmc +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis+6 more
wiley +1 more source
Nicotine, Alcohol Consumption, and Risk of Myasthenia Gravis: Results From the Swedish Nationwide GEMG Study. [PDF]
Petersson M+16 more
europepmc +1 more source
Leveraging the numerous advantages of ammonium‐ion (NH₄⁺)—including cost‐effectiveness, low corrosiveness, preferential orientation, and rapid diffusion kinetics—aqueous NH₄⁺ batteries (AAIBs) have gained significant attention. This review highlights and evaluates the progress of AAIBs utilizing organic electrode materials such as small molecules ...
Mangmang Shi, Xiaoyan Zhang
wiley +1 more source
Alcohol consumption and cancer risk in South Korea and the UK: prospective cohort studies. [PDF]
Jung KJ+6 more
europepmc +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Alcohol consumption among university students in ASEAN countries: A systematic review and meta-analysis. [PDF]
Kejriwal M.
europepmc +1 more source