Results 151 to 160 of about 177,813 (314)
This study aimed to investigate survival outcomes, the efficacy of lymph node (LN) dissection, and recurrence patterns in 69 patients who underwent R0 salvage surgery for esophageal squamous cell carcinoma. Of note, abdominal LN metastases had a negative impact on survival in our series.
Kotaro Sugawara+9 more
wiley +1 more source
Fluorescence Guided Surgery in Gastric Cancer: What Do We Have and What Can We Do?
ABSTRACT Background and Objective Fluorescence imaging has emerged as a valuable adjunct in gastric surgery, enhancing resection precision and oncologic outcomes. However, the use of indocyanine green (ICG) remains controversial due to uncertainties in efficacy and administration. A lack of standardized protocols persists.
Chun Zhuang, Han‐Kwang Yang
wiley +1 more source
Location-aware routing protocol with dynamic adaptation of request zone for mobile ad hoc networks [PDF]
Tzay-Farn Shih, Hsu‐Chun Yen
openalex +1 more source
Void-handling techniques for routing protocols in underwater sensor networks: survey and challenges [PDF]
Boutaleb, Tuleen+2 more
core +1 more source
Cell Membrane‐Coated Lipid Nanoparticles for Drug Delivery
This review highlights recent progress in cell membrane‐coated lipid nanoparticles (CMC‐LNPs), focusing on their design, preparation methods, functional integration, and biomedical applications. It discusses various types of LNPs and coating strategies, characterization techniques, therapeutic functions, and applications.
Moataz B. Zewail+5 more
wiley +1 more source
A self‐assembling, aggregation‐enhanced tetrahedral DNA nanostructure (tFNA), termed TACs, enables localized accumulation and sustained release of ceftriaxone while co‐delivering antisense oligonucleotides that silence mecA, reduce PBP2a expression, and restore β‐lactam susceptibility in MRSA.
Yicheng Zhao+10 more
wiley +1 more source
Selective On-demand Zone Routing Protocol for Large Scale Mobile Ad-hoc Networks [PDF]
Jaeho Lee, Doo-Seop Eom
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The performance of query control schemes for the zone routing protocol [PDF]
Zygmunt J. Haas, M.R. Pearlman
openalex +3 more sources