Assessing the relationship between training load and injury in ultramarathon runners: a novel approach using Generalised Additive Models. [PDF]
Burgess TL, Durand P, Buchholtz K.
europepmc +1 more source
Proteins, Processing, and Properties of Adhesive Fluid Condensates Purified from Mussels
Mussels exhibit an unmatched proficiency for adhering to wet surfaces in salty environments—a remarkable ability that could inspire new biomedical and technical glues. The fluid protein condensates used to form the underwater mussel glue are extracted, reconstituted and characterized with advanced spectroscopy and nanomechanical analysis, revealing ...
Mathieu D. Rivard +8 more
wiley +1 more source
A Novel Approach for Monitoring Training Load and Wellness in Women's College Gymnastics. [PDF]
Leupold O +6 more
europepmc +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Training load and fitness monitoring in Czech football: coach practices and perspectives. [PDF]
Bokůvka D +5 more
europepmc +1 more source
Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus
The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu +10 more
wiley +1 more source
Inflammatory markers as potential mediators on the negative association between training load and bone mineral density in adolescent competitive swimmers: ABCD-growth study. [PDF]
Agostinete RR +7 more
europepmc +1 more source
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
The Influence of Contextual Variables on Training Load Prescription in Basketball: An Example of a Professional Australian Men's Basketball Team. [PDF]
Patterson J +4 more
europepmc +1 more source

