Results 91 to 100 of about 288 (166)

Rapid and Stereoselective Ring‐Opening Polymerization of rac‐Lactide Enabled by a Chiral Cyclopropenimine–Thiourea Catalyst

Angewandte Chemie, EarlyView.
Chiral cyclopropenimine–thiourea organocatalysts enabled both high reactivity and precise stereocontrol in the ring‐opening polymerization of rac‐lactide. The bifunctional system exhibited a TOF up to 1,710 h−1 with Pm = 0.90 at 25°C, and achieved Pm = 0.99 at −78°C while maintaining a TOF of 16.3 h−1.
Sumin Lee, Hooseung Lee, Hyeongwoo Nam, Seungyun Jo, Minseong Kim, Dongwook Kim, Du Yeol Ryu, Sarah Yunmi Lee, Byeong‐Su Kim   +8 more
wiley   +2 more sources

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

NiH‐Catalyzed Enantioconvergent α‐Alkenylation of Carbonyl Compounds via Markovnikov Alkyne Hydronickellation

Angewandte Chemie, EarlyView.
A NiH‐catalyzed α‐alkenylation via Markovnikov hydronickellation of alkynes enables convenient access to α‐chrial β‐methylene carbonyl frameworks that are prevalent in biorelevant molecules. High regio‐ and enantioselectivities have been achieved with excellent functional group tolerance and applicability toward complex structures. The β‐methylene unit
Hyeontaek Nam, Seji Jang, Dongwook Kim, Sangwon Seo   +3 more
wiley   +2 more sources

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Khảo sát ảnh hưởng của tỷ lệ bột nấm rơm và tỷ lệ nấm men đến các đặc tính vật lý và cảm quan của bánh mì sandwich

Tạp chí Khoa học Đại học Cần Thơ
Nghiên cứu này được thực hiện nhằm xác định các thông số phù hợp, cụ thể là tỷ lệ bổ sung bột nấm rơm và nấm men, trong quy trình sản xuất bánh mì sandwich nấm rơm.
Nguyễn Thị Kiều Diễm, Châu Văn Đan, Lương Uyên Uyên, Lê Hoàn Thanh, Trần Chí Nhân, Nguyễn Hồng Xuân   +5 more
doaj  

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

The intersection of health inequalities and COVID‐19: Evidence from National Health Insurance Big Data in South Korea

American Journal of Community Psychology, EarlyView.
Abstract Health inequalities persist along lines of income and wealth, shaped by unequal access to healthcare, differences in health behaviors, and pre‐existing chronic conditions. The COVID‐19 pandemic further put families in Korea under health strain and worsened their health outcomes.
Jaehyun Nam, Sarah Jiyoon Kwon, Wonik Lee, Eunji Kim   +3 more
wiley   +1 more source

Liganden der Lipidtasche induzieren allosterische Modulation der Proteindynamik im Bereich des aktiven Zentrums der Proteinkinase p38α

Angewandte Chemie, EarlyView.
Bei der Suche nach neuen allosterischen Stellen in der Serin/Threonin‐Kinase p38α deckt die NMR‐Spektroskopie eine dynamische Kopplung zwischen dem katalytischen Zentrum und der Lipidtasche auf. Die Ergebnisse offenbaren bewegungsbezogene Interdependenzen, die entfernte Regionen des Enzyms miteinander verbinden, was die Lipidtasche als ...
Sara Medina Gómez, Laurin T. Homberg, Mike Bührmann, Daniel Rauh, Rasmus Linser   +4 more
wiley   +1 more source

MOFs als neue katalytische Plattform für kovalente adaptive Netzwerke: Katalyse trifft Verstärkung

Angewandte Chemie, EarlyView.
Eine neu entwickelte, heterogene, katalytische Plattform für kovalente adaptive Netzwerke (CANs) wird vorgestellt. Dies wird erreicht durch die Immobilisierung von Basen mit geringem Molekulargewicht auf metallorganischen Gerüstverbindungen (MOFs). Der erhaltene Katalysator UiO‐TBD profitiert von der hohen Beladungskapazität von MOFs und demonstriert ...
Simon Renner, Roman Korotkov, Inge Mühlbacher, Markus Alfreider, Daniel Kiener, Johannes Liebhart, Oskar Paris, Christian Slugovc, Sandra Schlögl, Elisabeth Rossegger   +9 more
wiley   +1 more source