Results 131 to 140 of about 252,836 (257)
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
Minimally invasive anatomic liver resection (AR) including major hepatectomy and liver parenchyma‐sparing AR is technically complex and demanding. This systematic review with meta‐analysis including 15 studies comparing 2042 robotic AR and 2129 laparoscopic AR patients demonstrated largely comparable perioperative outcomes and partly better outcomes ...
Yutaro Kato +3 more
wiley +1 more source
Meta Soft Prompting and Learning
Jen-Tzung Chien +3 more
doaj +1 more source
This study compared short‐term outcomes of robot‐assisted versus laparoscopic colectomy for colon cancer using 1:1 propensity score matching. Among 218 matched pairs, robot‐assisted colectomy was associated with reduced blood loss, fewer conversions to open surgery, lower overall complication rates, and shorter hospital stays, despite longer operative ...
Akira Inoue +9 more
wiley +1 more source
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya +2 more
wiley +1 more source
This study investigated the surgical outcomes of sequential robot‐assisted hepatobiliary–pancreatic (HBP) in a single operating room. The outcomes and operating room timelines were comparable between the first and second cases. The median turnover time was 49 min, and the day‐shift completion success rate was 34.4%.
Tomokazu Fuji +7 more
wiley +1 more source
Meta-Learning as a Promising Strategy for Lipid Nanoparticle Optimization and Ionizable Lipid Discovery. [PDF]
Sieber-Schäfer F +5 more
europepmc +1 more source
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
GatorST: A Versatile Contrastive Meta-Learning Framework for Spatial Transcriptomic Data Analysis. [PDF]
Zhang Z +5 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source

