Results 111 to 120 of about 265,759 (239)

Robotic Versus Laparoscopic Anatomic Liver Resection: Comparison of Perioperative Outcomes—A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
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, Atsushi Sugioka, Hiroyuki Kato, Akihiko Horiguchi   +3 more
wiley   +1 more source

Hydrothermal carbonization derived hydrochar from industrial waste as an efficient adsorbent for toxic dye removal and process optimization. [PDF]

Sci Rep
Rangasamy G, Rathi BS, Kumar KS, Murugeshwari S, Lalitha SM, Kumar PS.   +5 more
europepmc   +1 more source

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

A molecular dual-center emitter for ratiometric optical thermometry. [PDF]

Chem Sci
Sun R, Huang H, Xia Y, Liu Y, Tao X, Zhang JL, Wang BW, Gao S.   +7 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Domino Polymerization for the Synthesis of Reductively Degradable Poly(disulfide)s With Arbitrary Side‐Chain Structures

Angewandte Chemie, EarlyView.
We developed a novel domino polymerization to synthesize reductively degradable poly(disulfide)s with tunable side chains. A novel monomer bearing thiolactone and pyridyl disulfide groups reacts with various amines, enabling continuous ring‐opening and disulfide exchange.
Yukiya Kitayama, Ryodai Sakamoto, Atsushi Harada   +2 more
wiley   +2 more sources

ENPP3 drives ccRCC progression by cGAMP hydrolysis and STING-IFN suppression. [PDF]

Cancer Biol Ther
Ma J, Wu Y, Lin G, Sun X, Geng H, Zhang T, Yu D.   +6 more
europepmc   +1 more source

Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia, Haobo Li, Marija Vaskeviciute, Daniele Faccio, Affar S. Karimullah, Hadi Heidari, Rami Ghannam   +6 more
wiley   +1 more source

Thermometric Based‐Microswimmers with Chemical and Optical Engines

Advanced Intelligent Systems, EarlyView.
Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley   +1 more source