The concept of a multi-dimensional carrierless amplitude and phase modulation (CAP) passive optical network (PON) system based on non-orthogonal transceiver filters is presented for the first time, to the best of our knowledge, to improve the spectral efficiency (SE). To eliminate the interferences caused by the non-orthogonal transceiver filters, a novel inter-symbol interference (ISI) and cross-channel interference (CCI) cancellation algorithm (ICCA) is proposed. In our experiment, a 10 Gb/s four-dimensional with four levels/dimension and non-orthogonal CAP data transmission is successfully demonstrated over a 20 km standard single mode fiber. The results indicate that a SE gain from 3.85 to 4.35 bit/s/Hz is achieved by the combination of the proposed ICCA with the traditional modified cascaded multi-modulus and decision-directed least mean square algorithm.
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http://dx.doi.org/10.1364/OL.41.003988 | DOI Listing |
Biomed Phys Eng Express
January 2025
Department of Ophthalmology, Hospital Universitario de Canarias, Carretera Ofra S/N, La Laguna, Santa Cruz de Tenerife, 38320, SPAIN.
This paper systematically evaluates saliency methods as explainability tools for convolutional neural networks trained to diagnose glaucoma using simplified eye fundus images that contain only disc and cup outlines. These simplified images, a methodological novelty, were used to relate features highlighted in the saliency maps to the geometrical clues that experts consider in glaucoma diagnosis. Despite their simplicity, these images retained sufficient information for accurate classification, with balanced accuracies ranging from 0.
View Article and Find Full Text PDFJ Nurs Adm
December 2024
Author Affiliations: Research Nurse Scientist (Dr Partridge), Roper St Francis Healthcare; Associate Professor (Dr Jorgenson), College of Nursing, Charleston Southern University; Associate Professor (Dr Johnson), College of Nursing, Medical University of South Carolina; and Director of Nursing Excellence (Dr Lott), Roper St Francis Healthcare, Charleston, South Carolina.
Objective: The purpose of this cross-sectional descriptive study was to examine the relationship of professional governance, resilience, and empowerment among RNs in clinical practice in 1 healthcare system.
Background: Given the emotional and physical demands of nursing, especially in recent years, exploring ways that hope-inducing and resilience-building models can support professional practice is vital to the current and future nursing workforce.
Methods: An anonymous survey consisting of demographic questions, the Adult Hope Scale, Connor-Davidson Resilience Scale, and the Conditions for Work Effectiveness Questionnaire II was offered to 1450 RNs in a nonprofit community-based healthcare system for volunteer participation.
J Nurs Adm
December 2024
Author Affiliations: Senior Operations Leader, Analytics and Nurse Scientist (Dr Kim), Kaiser Permanente National Patient Care Services, Oakland; Assistant Clinical Professor (Dr Kim), Community Health Systems, University of California, San Francisco School of Nursing, San Francisco; Professor Emeritus (Dr Latham), California State University, Fullerton, School of Nursing, Fullerton; Education Program Coordinator (Dr Krom), Assistant Professor of Medicine (Dr Krom), Cedars-Sinai Marina Del Ray Hospital, Marina Del Ray; Director (Dr Failla), Nursing Workforce Transitions, Caster Nursing Institute, Sharp HealthCare, San Diego; Regional Director and Nurse Scientist (Dr Kawar), Nursing Research and EBP Program, Kaiser Permanente Southern California and Hawaii Patient Care Services, Pasadena.
Disseminating research or evidence-based practice is not straightforward. As more clinical nurses, executive nurse leaders, nurse scientists, and faculty contribute to new knowledge, there is an increasing need to support the processes to publish and disseminate manuscripts to advance healthcare. Nurse administrators and leaders are key influencers and supporters to bolster expertise and resources to publish.
View Article and Find Full Text PDFJ Nurs Adm
December 2024
Author Affiliation: Former Executive Vice President and Chief Nursing Officer, Advocate Health, Charlotte, North Carolina.
In 2024, Mary Beth Kingston, PhD, RN, FAAN, received the American Organization for Nursing Leadership (AONL) prestigious Lifetime Achievement Award. This award honors an AONL member recognized by the nursing community as a significant leader in the nursing profession and who has served AONL in an important leadership capacity. Kingston retires in December 2024 from her position as executive vice president and chief nursing officer at Advocate Health, Charlotte, North Carolina, the nation's 3rd largest nonprofit integrated health system.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
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