Results 121 to 130 of about 41,098 (218)

Non-negative matrix factorization algorithms generally improve topic model fits. [PDF]

Stat Comput
Carbonetto P, Sarkar A, Wang Z, Stephens M.   +3 more
europepmc   +1 more source

TNAP and PHOSPHO1 Function Synergistically to Afford Critical Control Over the Mineralization of the Postnatal Murine Skeleton

Advanced Science, EarlyView.
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne, Aikta Sharma, Scott Dillon, Jacob Keen, Soher N. Jayash, Natalie Crump, Lucinda A.E. Evans, Maya Karmali, Worachet Promruk, Claire E. Clarkin, Sonoko Narisawa, Louise Stephen, Brian L. Foster, José Luis Millán, Colin Farquharson, Katherine A. Staines   +15 more
wiley   +1 more source

Awareness, knowledge, and cervical cancer screening behaviour in an urban informal settlement: Evidence from multinomial and interaction models. [PDF]

PLOS Glob Public Health
Kubai WK, Odongo AO, Rithaa GK.
europepmc   +1 more source

Ammonification Process Is Limited by Transformation of Medium Molecular Weight Nitrogenous Organics but Not Hydrolysis of Proteins

Advanced Science, EarlyView.
A multi‐level analytical framework, integrating protein‐level persistence analysis, nontargeted HRMS formula tracking, peptide‐level proteomics, and targeted monomer quantification under varying redox conditions, together with FMO calculations reveal that ammonification is limited by medium molecular weight nitrogenous multimers.
Jing Li, Junjie Qiu, Fan Lü, Hua Zhang, Pinjing He   +4 more
wiley   +1 more source

Distinct perception profiles of gig economy employment among nursing students in Saudi Arabia: a latent profile analysis. [PDF]

Front Med (Lausanne)
Alghamdi A, Alharbi BS, Aljabri MM.
europepmc   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Prediction of histological grading in ductal carcinoma <i>in situ</i> based on mammographic signs and clinical information using machine learning models. [PDF]

Front Oncol
Wang J, Zhao S, Zhao L, Huang F, Wu H, Pang D.   +5 more
europepmc   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

First-Line Maintenance Therapy Patterns in BRCA Wild-Type, HRD-Negative or Biomarker-Unknown Advanced Epithelial Ovarian Cancer: A Five-Country European Real-World Study by APLUSA. [PDF]

Cancers (Basel)
Uccello M, Boussios S, Maï C, Worton H, Bazire A, de Buhren B.   +5 more
europepmc   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source