Results 111 to 120 of about 560,288 (253)

Learning Curve Effect in Reducing Local Recurrence Rate After Resection of Pancreatic Cancer With Arterial Abutment: A Single‐Center Retrospective Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) with arterial abutment is a complex, high‐risk surgery. We aimed to investigate the clinicopathological features, risk factors, and learning curve for local recurrence after pancreatectomy for PDAC with arterial abutment.
Jun Ishida, Hirochika Toyama, Takayuki Kodama, Yoshihide Nanno, Takuya Mizumoto, Shohei Komatsu, Hiroaki Yanagimoto, Masahiro Kido, Tomoo Ito, Takumi Fukumoto   +9 more
wiley   +1 more source

Enantiospecific Optical Sensing of Terpenes by an Aggregated Atropisomeric Platinum(II) Complex

Angewandte Chemie, EarlyView.
Aggregated metal complexes act as an artificial nose and permit reversible optical sensing of small volatile molecules like R/S‐limonene based on enantiospecific recognition. Abstract Terpenes are unfunctionalized small volatile organic compounds (VOCs) that are naturally abundant, relevant to climate change, and impose potential health risks.
Annika Huber, Alessandro Prescimone, Christof Sparr, Oliver S. Wenger   +3 more
wiley   +2 more sources

Prognostic Impact of Histologic Subtypes in Mismatch Repair‐Deficient/Microsatellite Instability‐High Colorectal Cancer: A Single‐Center Retrospective Study of 1127 Stage 0–IV Patients

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Deficient mismatch repair/microsatellite instability‐High (dMMR/MSI‐H) colorectal cancer (CRC) generally confers a favorable survival yet is paradoxically enriched for poorly differentiated (Por) histology, which is linked to aggressive behavior.
Tomoyuki Momma, Hirokazu Okayama, Sohei Hayashishita, Hiroya Suzuki, Masanori Katagata, Takuro Matsumoto, Daisuke Ujiie, Shun Chida, Wataru Sakamoto, Koji Kono   +9 more
wiley   +1 more source

Hidden Diradical: Conformational Switch for Solvatochromic NIR Emission With Unity Quantum Yield in Thiele's Hydrocarbon

Angewandte Chemie, EarlyView.
Halogen substitution controls a conformational switch between a folded closed‐shell and a flat singlet‐diradical conformer in an air‐stable Thiele‐diradical. This conformational switch allows for near‐unity photoluminescence quantum yield with a large Stokes shift, solvatochromism, and a long‐lived excited state.
Matteo Bevilacqua, Mattia Reato, Federico Cilento, Claudia Graiff, Sabrina Antonello, Luca Schio, Alessandro Aliprandi, Cristina Tubaro, Lorenzo Franco, Martina Dell'Angela, Dominik Munz, Marco Baron   +11 more
wiley   +2 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Tellurophene‐Induced Triplet–Singlet Spin‐Flip Acceleration: An Advanced Design for Narrowband Organoboron Emitters with Fast Reverse Intersystem Crossing

Angewandte Chemie, EarlyView.
Linking an auxiliary dibenzo[b,d]tellurophene unit markedly accelerates exciton spin conversion in multi‐resonance‐type thermally activated delayed fluorescence emitters. Owing to the heavy‐atom effect of tellurium, the corresponding OLEDs retain remarkably high external electroluminescence quantum efficiencies exceeding 25% even at an exceptionally ...
Peiyuan Yang, Jun Hyeon Lee, Kotone Urano, Takuma Yasuda   +3 more
wiley   +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

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Predictive, Data‐Driven Design of Red‐Light Photoredox Catalysts for C─Heteroatom Bond Formation

Angewandte Chemie, EarlyView.
From redox numbers to red light: Donor oxidation and core reduction potentials predict E0‐0 in cyanoarene dyes, guiding selection of an efficient red‐light catalyst, 4MeODPATPN (PC13). Under 620 nm light, PC13 facilitates Ni‐catalyzed C─heteroatom cross‐couplings (C─N, C─O, C─S) with high functional‐group tolerance and reduced hydrodehalogenation ...
Amir Gizatullin, Tingting Yuan, Sascha Grotjahn, Luigi Cavallo, Burkhard König, Chen Zhu, Magnus Rueping   +6 more
wiley   +2 more sources

A Metallosupramolecular Receptor for Squaraine Dyes Enabling Ultrafast Dark Resonance Energy Transfer

Angewandte Chemie, EarlyView.
A metallosupramolecular receptor binds squaraine dyes with high affinity and enables efficient dark resonance energy transfer (DRET) that generates bright near‐infrared emission with large pseudo‐Stokes shifts. ABSTRACT A metal‐organic cage was obtained by combining acridone‐based dipyridyl ligands with Pd2+ ions. The cage acts as a potent receptor for
Damien W. Chen, Tejas Deshpande, Sybille Collignon, Farzaneh Fadaei‐Tirani, Sascha Feldmann, Kay Severin   +5 more
wiley   +2 more sources