Results 171 to 180 of about 314,481 (350)

Sierpiński carpet-inspired hierarchical patterning of porous materials for sound absorption. [PDF]

NPJ Acoust
Kuznetsova S, Allein F, Dal Poggetto VF, Bécot FX, Miniaci M.   +4 more
europepmc   +1 more source

Prolonged Prophylactic Antibiotics Based on Preoperative Bile Culture Reduce Surgical Site Infections After Pancreaticoduodenectomy Following Preoperative Biliary Drainage: A Propensity‐Matched Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Objective The optimum duration of prophylactic antibiotics after pancreaticoduodenectomy following preoperative biliary drainage to prevent surgical site infections remains controversial. We evaluate whether a prolonged course of prophylactic antibiotics reduces surgical site infection after pancreaticoduodenectomy following biliary drainage ...
Kyohei Matsumoto, Atsushi Shimizu, Yuji Kitahata, Akihiro Takeuchi, Hideki Motobayashi, Masatoshi Sato, Tomohiro Yoshimura, Shinya Hayami, Atsushi Miyamoto, Manabu Kawai   +9 more
wiley   +1 more source

Generalized causality constraint based on duality symmetry reveals untapped potential of sound absorption. [PDF]

Nat Commun
Qu S, Yang M, Huang S, Liu S, Dong E, Li HY, Sheng P, Abrahams ID, Fang NX.   +8 more
europepmc   +1 more source

Mathematical Model for Estimating the Sound Absorption Coefficient in Grid Network Structures. [PDF]

Materials (Basel), 2023
Satoh T, Sakamoto S, Isobe T, Iizuka K, Tasaki K.   +4 more
europepmc   +1 more source

Design of Shunt Electric Networks in View of Sound Absorption with Loudspeakers [PDF]

, 2011
Hervé Lissek, Romain Boulandet
openalex  

A Sandwich Coating Containing Micro-perforated Panel for Underwater Sound Absorption

, 2019
Li Lin, Zhifu Zhang, Zhichao Xu, Qibai Huang   +3 more
openalex   +1 more source

Noise Reduction in Helicopter Cabins Using Microperforated Panel Composite Sound Absorption Structures

, 2023
Chenglei Li, Yang Lu, Chunbo Lan, Yang Wang   +3 more
openalex   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
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

Exploring the Sound Absorption Potential of Ecoflex™ 00-35 for Soft and Flexible Noise Reduction. [PDF]

Materials (Basel)
Mohamed N, Mohamed M, Kim JG.
europepmc   +1 more source

Sustainable Sheep Wool/Soy Protein Biocomposites for Sound Absorption. [PDF]

Polymers (Basel), 2022
Urdanpilleta M, Leceta I, Guerrero P, de la Caba K.   +3 more
europepmc   +1 more source