Results 161 to 170 of about 244,635 (305)

Assessing the Sensitivity and the Clinical Impact of the 2023 American College of Rheumatology/EULAR Classification Criteria in Obstetric Antiphospholid Syndrome: Findings From a Multicenter Italian Cohort With a Long‐Term Follow‐Up

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to evaluate the sensitivity of the 2023 American College of Rheumatology (ACR)/EULAR classification criteria for antiphospholipid syndrome (APS) in a real‐world cohort of women diagnosed with primary obstetric APS (oAPS) and to assess their ability to identify patients at risk of future pregnancy complications ...
Francesca Ruffilli, Cecilia Nalli, Francesca Crisafulli, Carlo Garaffoni, Marcello Govoni, Giulia Voltarel, Alba C. Pozzi, Beatrice Maranini, Ettore Silvagni, Alessandra Bortoluzzi, Angela Tincani   +10 more
wiley   +1 more source

Computational mechanisms transforming visual codes into sparse representations. [PDF]

Neurosci Biobehav Rev
Cao R, Wang S.
europepmc   +1 more source

Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai, Jessica Fitzpatrick, Jing Li, Eric Roberts, Patricia Katz, Laura Plantinga, Gabriela Schmajuk, Jinoos Yazdany   +7 more
wiley   +1 more source

Rheumatic Digital Twin: Proposed Machine Learning-Based Multimodal Framework to Inform Clinical Decision-Making. [PDF]

J Med Internet Res
Selani D, Knevel R, Reinders M, van den Akker EB.   +3 more
europepmc   +1 more source

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems

, 2003
The paper considers a multiple-input multiple-output (MIMO) communication system, which uses space-time trellis coding (STTC). A novel method of decoding STTC without a need to transmit training sequences is developed.
Nix, AR, Piechocki, RJ, Andrieu, C, McGeehan, JP   +3 more
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Joint design of twin-antenna assisted space-time multilevel sphere packing aided coded modulation

, 2006
A new multilevel coding (MLC) scheme invoking sphere packing (SP) modulation is proposed, where the SP arrangement is jointly designed with a space time block code (STBC) for the sake of attaining an additional space diversity gain.
Alamri, O., Tee, R.Y.S., Hanzo, L.
core  

Integrating infodemiology principles into public health curricula: a qualitative exploration of emerging educational needs. [PDF]

Front Med (Lausanne)
Bosse M, Tager K, Gould E, Kanimilli M, Burke E.   +4 more
europepmc   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source