Publications by authors named "Kuo-Chang Lee"

Background: This meta-analysis compared the effects of intravenous Tranexamic acid (TXA) and a placebo on hemostasis, hospital course, and complications in adult patients undergoing various urologic surgeries.

Methods: The literature was extensively searched using various databases. The primary outcomes were standardized mean differences (SMDs) of intraoperative blood loss and odds ratios (ORs) of necessary blood product transfusion.

View Article and Find Full Text PDF

Background: One of the most severe complications of liposuction and fat grafting is pulmonary fat embolism (PFE). However, most healthcare workers are not familiar with PFE. We performed a systematic review to describe the details of PFE.

View Article and Find Full Text PDF

We developed a machine learning algorithm to analyze trauma-related data and predict the mortality and chronic care needs of patients with trauma. We recruited admitted patients with trauma during 2015 and 2016 and collected their clinical data. Then, we subjected this database to different machine learning techniques and chose the one with the highest accuracy by using cross-validation.

View Article and Find Full Text PDF

Smartphones are currently extensively used worldwide, and advances in hardware quality have engendered improvements in smartphone image quality, which is occasionally comparable to the quality of medical imaging systems. This paper proposes two algorithms for pupil recognition: a stateful-service-based pupil recognition mechanism and color component low-pass filtering algorithm. The PRSSM algorithm can determine pupil diameters in images captured in indoor natural light environments, and the CCLPF algorithm can determine pupil diameters in those captured outdoors under sunlight.

View Article and Find Full Text PDF

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accurate prognostic predictor for critical decision-making involving patients with severe trauma. We aimed to develope a machine learning-based early prognostic model based on admission features and initial ED management.We only recruited patients with severe trauma (defined as an injury severity score >15) as the study cohort and excluded children (defined as patients <16 years old) from a 4-years database (Chi-Mei Medical Center, from January 2015, to December 2018) recording the clinical features of all admitted trauma patients.

View Article and Find Full Text PDF

Planctomycetes are distinguished from other Bacteria by compartmentalization of cells via internal membranes, interpretation of which has been subject to recent debate regarding potential relations to Gram-negative cell structure. In our interpretation of the available data, the planctomycete Gemmata obscuriglobus contains a nuclear body compartment, and thus possesses a type of cell organization with parallels to the eukaryote nucleus. Here we show that pore-like structures occur in internal membranes of G.

View Article and Find Full Text PDF

We report a high-efficiency quantum dot (QD) film for high color gamut edge-lit LCD backlights. On the film's input surface, an array of asymmetric microprisms is used to preserve the large off-axis angle of the incident blue light. On the exit surface, the retroreflective microprisms retain blue light inside the film.

View Article and Find Full Text PDF

Members of phylum Planctomycetes have been proposed to possess atypical cell organisation for the Bacteria, having a structure of sectioned cells consistent with internal compartments surrounded by membranes. Here via electron tomography we confirm the presence of compartments in the planctomycete Gemmata obscuriglobus cells. Resulting 3-D models for the most prominent structures, nuclear body and riboplasm, demonstrate their entirely membrane - enclosed nature.

View Article and Find Full Text PDF

Endocytosis is a process by which extracellular material such as macromolecules can be incorporated into cells via a membrane-trafficking system. Although universal among eukaryotes, endocytosis has not been identified in Bacteria or Archaea. However, intracellular membranes are known to compartmentalize cells of bacteria in the phylum Planctomycetes, suggesting the potential for endocytosis and membrane trafficking in members of this phylum.

View Article and Find Full Text PDF

Background: Gemmata obscuriglobus is a distinctive member of the divergent phylum Planctomycetes, all known members of which are peptidoglycan-less bacteria with a shared compartmentalized cell structure and divide by a budding process. G. obscuriglobus in addition shares the unique feature that its nucleoid DNA is surrounded by an envelope consisting of two membranes forming an analogous structure to the membrane-bounded nucleoid of eukaryotes and therefore G.

View Article and Find Full Text PDF

Background: The phylum Verrucomicrobia is a divergent phylum within domain Bacteria including members of the microbial communities of soil and fresh and marine waters; recently extremely acidophilic members from hot springs have been found to oxidize methane. At least one genus, Prosthecobacter, includes species with genes homologous to those encoding eukaryotic tubulins. A significant superphylum relationship of Verrucomicrobia with members of phylum Planctomycetes possessing a unique compartmentalized cell plan, and members of the phylum Chlamydiae including human pathogens with a complex intracellular life cycle, has been proposed.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Kuo-Chang Lee"

  • - Kuo-Chang Lee's research primarily explores medical and healthcare topics, focusing on surgical outcomes, traumatic injuries, and complications arising from cosmetic procedures, notably pulmonary fat embolism, through systematic reviews and meta-analyses.
  • - Recent publications include a systematic review on the efficacy and safety of intravenous tranexamic acid in urologic surgery and an analysis of pulmonary fat embolism following liposuction and fat grafting, emphasizing awareness and implications of these medical risks.
  • - Lee has also applied machine learning techniques to predict outcomes in trauma patients by analyzing clinical data, showcasing innovative approaches to enhance predictive accuracy in emergency settings.