A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients.

Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.

Indirectly acquired fear memories have distinct, sex-specific molecular signatures from directly acquired fear memories.

Post-traumatic stress disorder (PTSD) is a severe anxiety disorder that affects women more than men. About 30% of patients suffering from PTSD develop the disorder by witnessing a traumatic event happen to someone else. However, as the focus has remained on those directly experiencing the traumatic event, whether indirectly acquired fear memories that underlie PTSD have the same molecular signature as those that are directly acquired remains unknown.

Awareness, Knowledge, and Treatment Patterns of Nonmetastatic Inflammatory Breast Cancer in Low- and Middle-Income Countries: The BRIDGES Study.

Purpose: Trimodal therapy (TMT) is the standard treatment for patients with nonmetastatic inflammatory breast cancer (IBC). TMT consists of neoadjuvant systemic therapy, modified radical mastectomy (MRM), and postmastectomy radiation therapy. Although broadly considered the best approach for IBC, in the United States, only a third of patients receive TMT.

Cost-effectiveness-analysis of oral health remotivation and reinstruction in nursing homes in a cluster-randomized controlled trial.

Objectives: We conducted a cluster-randomized-controlled trial (cRCT) in 18 German nursing homes (NH) to evaluate the cost-effectiveness of reinstruction and remotivation of nursing staff by dental assistants (DAs) over 13 months.

Methods: In the intervention arm, dentists examined NH residents, identified oral health conditions, and prescribed individualized oral care interventions. Nursing staff delivered these interventions, with regular follow-up support from DAs (reinstruction and remotivation).

Guanidinium and hydrogen carbonate rosette layers: Distance and degree topological indices, Szeged-type indices, entropies, and NMR spectral patterns.

Supramolecular chemistry explores non-covalent interactions between molecules, and it has facilitated the design of functional materials and understanding of molecular self-assembly processes. We investigate a captivating class of supramolecular structures, the guanidinium and hydrogen carbonate rosette layers. These rosette layers are composed of guanidinium cations and carbonate anions, exhibiting intricate hydrogen-bonding networks that lead to their unique structural properties.