Anticipation of a therapeutic odyssey following predictive testing for autism. [PDF]
MacDuffie KE +13 more
europepmc +1 more source
Interview with Professor Tristram Hooley, International Centre for Guidance Studies (iCeGS), University of Derby, UK [PDF]
Grajcár, Štefan
core +1 more source
Depth‐Dependence Changes in Soil Stoichiometry in China's Croplands Over the Past Four Decades
This study reveals depth‐dependent changes in soil C:N:P ratios across Chinese croplands over four decades. Changes in stoichiometry vary markedly between topsoil and subsoil, with initial soil C:N:P ratios playing a key role in determining their trajectories.
Xiaodong Sun +8 more
wiley +1 more source
Mixed-methods process evaluation of ctDNA use to guide decision-making in patients with advanced solid cancers: study protocol for a substudy of the LIQPLAT trial. [PDF]
Schwenke JM +12 more
europepmc +1 more source
Neural stem cell transplantation shows promise for spinal cord repair, but poor graft survival limits therapeutic efficacy. This study demonstrates that increasing hydrogel stiffness from 10% to 16% concentration significantly enhances transplanted neural stem cell survival through Piezo1‐mediated mechanotransduction, revealing mechanical properties as
Hee Hwan Park +19 more
wiley +1 more source
From state commodification to local reproduction of vulnerability: ethnographic insights from a Risk Zone Urban Renewal Project in Turkey. [PDF]
Civelek C.
europepmc +1 more source
Lewis pair‐integrated lipids (Lp‐lipids), combining targeted delivery and stimuli‐responsive are developed for antibiotic delivery. These lipids form nanoparticles that bind biofilms via boronate ester bonds and respond to acidic pH, H2O2, and ATP, enabling controlled drug release.
Xiaojian Yan +11 more
wiley +1 more source
From the perspective of multi-theory model, factors influencing physical activity among community-dwelling older adults with type 2 diabetes in China: a mixed-methods study. [PDF]
Huai P +9 more
europepmc +1 more source
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen +16 more
wiley +1 more source

