MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
Clinical effectiveness of intensive care unit admission in older adults with COVID-19 during the first pandemic wave in Spain. [PDF]
Arroyo-Huidobro M +17 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Exploring the Characteristics and Outcomes of Centenarian Patients Admitted to Intensive Care Units: A Systematised Narrative Review. [PDF]
Reyneke C +5 more
europepmc +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source
Predictors of Hospital Admission Following Emergency Department Presentation for Falls Among Older Adults: A Retrospective Analysis. [PDF]
Kim YJ, Shin HS, Jang K.
europepmc +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
Pathology Testing for Patients With Low Back Pain in Australian Emergency Departments. [PDF]
Côté-Picard C +6 more
europepmc +1 more source
Admitted patients' recall of their treating doctors' names in adult wards of a South African district hospital. [PDF]
Kotze EH +8 more
europepmc +1 more source

