The authors are reviewing on a lot of 2844 cases between 1996 and 2000 the difficult problems of differential diagnosis between acute surgical abdomen in children and intestinal tuberculosis, abdominal tumors and inflammatory diseases such as acute osteomielitis. They are presenting 13 particular cases in which the acute abdomen diagnosis was difficult or even omitted.
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Int J Qual Health Care
January 2025
Faculdade de Medicina, Universidade de São Paulo (USP), Av. Dr. Arnaldo, 455 - Sala 4107, São Paulo, São Paulo 01246-903, Brazil.
Patients continue to suffer from preventable harm and uneven quality outcomes. Reliable clinical outcomes depend on the quality of robust administrative systems and reliable support processes. Critically ill patient handoffs from the operating room (OR) to the intensive care unit (ICU) are known to be high-risk events.
View Article and Find Full Text PDFStruct Dyn
January 2025
Department of Physics, University of Wisconsin-Milwaukee, 3135 N. Maryland Ave, Milwaukee, Wisconsin 53211, USA.
There is a growing understanding of the structural dynamics of biological molecules fueled by x-ray crystallography experiments. Time-resolved serial femtosecond crystallography (TR-SFX) with x-ray Free Electron Lasers allows the measurement of ultrafast structural changes in proteins. Nevertheless, this technique comes with some limitations.
View Article and Find Full Text PDFInt Conf Indoor Position Indoor Navig
October 2024
Department of Computer Science & Engineering, University of California, Santa Cruz, Santa Cruz, USA.
Navigating unfamiliar environments can be challenging for visually impaired individuals due to difficulties in recognizing distant landmarks or visual cues. This work focuses on a particular form of wayfinding, specifically backtracking a previously taken path, which can be useful for blind pedestrians. We propose a hands-free indoor navigation solution using a smartphone without relying on pre-existing maps or external infrastructure.
View Article and Find Full Text PDFACS Omega
January 2025
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.
It is of great significance to realize the accurate prediction of the key output response of the chemical synthetic ammonia process for optimizing system performance and operation monitoring. Because many key intermediate variables of complex systems are difficult to measure comprehensively, there are great difficulties and errors in mechanism analysis and identification modeling techniques. Based on random forest (RF) variable selection, a deep neural network combining temporal convolutional network (TCN) and transformer is proposed to predict the output variables of the synthetic ammonia process.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.
Background: Traumatic brain injury (TBI) is a significant public health issue and a leading cause of death and disability globally. Advances in clinical care have improved survival rates, leading to a growing population living with long-term effects of TBI, which can impact physical, cognitive, and emotional health. These effects often require continuous management and individualized care.
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