In recent years, there has been an increasing interest in the adoption of emerging ubiquitous sensor network (USN) technologies for instrumentation within a variety of sustainability systems. USN is emerging as a sensing paradigm that is being newly considered by the sustainability management field as an alternative to traditional tethered monitoring systems. Researchers have been discovering that USN is an exciting technology that should not be viewed simply as a substitute for traditional tethered monitoring systems. In this study, we investigate how a movement monitoring measurement system of a complex building is developed as a research environment for USN and related decision-supportive technologies. To address the apparent danger of building movement, agent-mediated communication concepts have been designed to autonomously manage large volumes of exchanged information. In this study, we additionally detail the design of the proposed system, including its principles, data processing algorithms, system architecture, and user interface specifics. Results of the test and case study demonstrate the effectiveness of the USN-based data acquisition system for real-time monitoring of movement operations.
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http://dx.doi.org/10.1155/2014/879308 | DOI Listing |
JMIR Hum Factors
January 2025
New College of Florida, Sarasota, FL, United States.
Background: Bangladesh and West Bengal, India, are 2 densely populated South Asian neighboring regions with many socioeconomic and cultural similarities. In dealing with breast cancer (BC)-related issues, statistics show that people from these regions are having similar problems and fates. According to the Global Cancer Statistics 2020 and 2012 reports, for BC (particularly female BC), the age-standardized incidence rate is approximately 22 to 25 per 100,000 people, and the age-standardized mortality rate is approximately 11 to 13 per 100,000 for these areas.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. Large scale genomics deep learning models come in two flavors: the first are large language models of DNA sequences trained in a self-supervised fashion, similar to the corresponding natural language models; the second are supervised learning models that leverage large scale genomics datasets from ENCODE and other sources.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biomedical and Health Informatics, Tsui Laboratory, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.
View Article and Find Full Text PDFJ Craniofac Surg
January 2025
Division of Plastic & Reconstructive Surgery, John H. Stroger Hospital of Cook County, Chicago, IL.
Median craniofacial hypoplasia is characterized by tissue deficiency of the midline facial structures and/or brain. Patients can present with a wide variety of facial differences that may or may not require operative intervention. Common reconstructive procedures include cleft lip and/or palate repair, rhinoplasty, and orthognathic surgery, among others.
View Article and Find Full Text PDFJ Bras Nefrol
January 2025
Universidade Federal de São Paulo, Departamento de Medicina, São Paulo, SP, Brazil.
Collapsing glomerulopathy (CG) has a severe course typically associated with viral infections, especially HIV and parvovirus B19, systemic lupus erythematosus (SLE), among other etiologies. A 35-year-old woman with recent use of a JAK inhibitor due to rheumatoid arthritis presented with a 2-week history of fever, cervical adenopathy, and facial erythema. After admission, anemia, hypoalbuminemia, proteinuria, and severe acute kidney injury were noted.
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