Article
Chemistry, Physical
Stephen Jon Quiton, Jeongmin Chae, Selin Bac, Kareesa Kron, Urbashi Mitra, Shaama Mallikarjun Sharada
Summary: This paper presents the development of a novel matrix completion algorithm that reduces computational effort in reaction rate coefficient calculations and demonstrates high predictive accuracy in various types of reactions.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2022)
Article
Chemistry, Physical
Alan Quintal, Eugenia Dzib, Filiberto Ortiz-Chi, Pablo Jaque, Albeiro Restrepo, Gabriel Merino
Summary: The IRC-Analysis introduced in Eyringpy is a new extension that allows monitoring the evolution of chemical properties along the intrinsic reaction coordinate in seconds, avoiding errors in data capture. It is written in Python, requires no programming skills, and can analyze the evolution of various chemical reactions.
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
(2021)
Article
Multidisciplinary Sciences
Muhammad Ahsan, Muhammad Mashuri, Hidayatul Khusna
Summary: With the development of information technology, monitoring the quality characteristics of a product has become more complex. Traditional control charts are divided into variable control charts and attribute control charts, used for monitoring different types of quality characteristics. This paper introduces the PCA Mix control chart and Kernel PCA Mix control chart, and compares their performances.
SCIENTIFIC REPORTS
(2022)
Article
Genetics & Heredity
Jie Feng, Limin Jiang, Shuhao Li, Jijun Tang, Lan Wen
Summary: The multiple sources of cancer determine its multiple causes and various subtypes, which are key in personalized cancer treatment and clinical diagnosis. Through gene expression profiling and clustering algorithms, different cancer subtypes can be classified and studied effectively.
FRONTIERS IN GENETICS
(2021)
Article
Engineering, Chemical
Jenna Fromer, Christos Georgakis, Jason Mustakis
Summary: We present an approach to identify stoichiometric and kinetic models accurately from batch experiments without prior knowledge of candidate stoichiometries. This method considers possible reactions between measured species that fulfill mass balance constraints and pass a target factor analysis test.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Chemistry, Physical
Tongwei Wu, Marko M. Melander, Karoliina Honkala
Summary: This study unveils the mechanism, thermodynamics, and kinetics determining the HER/NRR efficiency on the state-of-the-art NRR electrocatalyst, Ru-N-4. The results show that NRR intermediates suppress HER through coadsorption on the catalyst, and the selectivity is determined by the initial step forming *NNH or *H. This provides crucial insights into the complex NRR/HER competition and suggests ways to improve NRR selectivity.
Article
Computer Science, Artificial Intelligence
K. Susheel Kumar, Nagendra Pratap Singh
Summary: Automatic detection of retinal diseases has become more challenging and has attracted considerable attention in recent years. This study proposes an Ensemble based Deep learning approach for retinal disease prediction, which involves various stages such as pre-processing, adaptive Gaussian kernel matched filtering, and post-processing for segmentation and classification. Through the implementation of this method, high accuracy, precision, recall, and F measure are achieved for the classification of eleven forms of retinal diseases.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Jingrui Hou, Ping Wang
Summary: In this paper, a lightweight ensemble learning method for glyph-aware Chinese text classification (LEGACT) is proposed, which combines shallow neural networks with machine learning classifiers. Through model design and a series of experiments, it is demonstrated that integrating shallow neural networks can achieve comparable results to large-scale transformer models. The contribution of this paper includes a lightweight yet powerful solution for glyph-aware Chinese text classification and empirical evidence of the significance of glyph features for hieroglyphic language representation. Moreover, this paper highlights the importance of assembling shallow neural networks with proper ensemble strategies to reduce computational workload in predictive tasks.
Article
Computer Science, Artificial Intelligence
Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu
Summary: Splitting a large network into smaller ones for ensemble training can achieve better accuracy-efficiency trade-offs than simply increasing the width of the network. This approach allows small networks to outperform the large one in terms of ensemble performance without additional parameters, while also achieving faster inference speed.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Chemistry, Physical
Haochuan Chen, Benoit Roux, Christophe Chipot
Summary: A significant challenge in atomistic simulations is the difficulty and often impossibility of sampling transitions between metastable states in the free-energy landscape. Machine-learning algorithms have emerged as powerful tools to discover meaningful variables that capture slow molecular processes.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2023)
Article
Chemistry, Multidisciplinary
Esra N. Soysal, Volkan Findik, Burcu Dedeoglu, Viktorya Aviyente, Dean J. Tantillo
Summary: The energetic viability of the previously proposed biogenetic pathway for the formation of two unique monoterpenoid indole alkaloids, voacafricine A and B, was investigated. The results suggest that the previously suggested pathway is not energetically viable and an alternative biosynthetic precursor is likely.
Article
Environmental Sciences
Ruisi Huang, Hongyu Cao, Ting Huang, Hongjiang Li, Qian Tang, Lihao Wang, Xuefang Zheng
Summary: The abuse of fluoroquinolones antibiotics causes resistance and pollution. This study investigates the photodegradation mechanisms and environmental factors affecting the degradation of fleroxacin. Six possible photodegradation reaction paths were proposed and simulated. The main reactions involve the departure of the piperazine ring and the substitution of fluorine atom. Factors such as pH and substances like NaN3 and Ca2+ were found to influence the photodegradation process.
Review
Chemistry, Physical
Giorgio Giuffredi, Fabio Di Fonzo
Summary: In this study, the importance of nanoscale disorder and mesoscale morphology in enhancing the activity and selectivity of group VI transition metal dichalcogenide electrocatalysts is highlighted. Utilizing disordered nanoscale organization and controlled mesoscale features can significantly improve the performance of the catalysts.
CURRENT OPINION IN ELECTROCHEMISTRY
(2021)
Article
Chemistry, Physical
Chunyong He, Shengkai Zhang, Juzhou Tao
Summary: In this paper, a catalyst composed of Pt nanoparticles assembled on a two-dimensional Co6Mo6C nanosheets/reduced graphene oxide hybrid (Pt/Co6Mo6C NSs-G) is designed, showing remarkable activity enhancement and durability improvement in the oxygen reduction reaction. The unique 2D structure of Co6Mo6C nanosheets and the electron coupling interaction between Pt nanoparticles and Co6Mo6C NSs-G are the key factors contributing to the enhanced ORR performance.
ACS APPLIED ENERGY MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Nathan Corbin, Glen P. Junor, Thu N. Ton, Rachel J. Baker, Karthish Manthiram
Summary: The selection of a solvent plays a crucial role in the selectivity and efficiency of electrosynthetic reactions, but the current process is usually based on trial-and-error. This study investigates the impact of electrolyte solvent on the selectivity of electrocarboxylation of organic halides and identifies the significance of aprotic solvents in hydrogenolysis reactions. Mechanistic studies reveal that the hydrogenolysis product is formed through deprotonation of the solvent under relevant electrocarboxylation conditions. Based on these findings, a simple computational descriptor is proposed, which shows strong correlation with carboxylation selectivity and overcomes the limitations of traditional solvent descriptors such as pKa. Through careful mechanistic analysis of the solvent's role, this work advances the development of selective electrocarboxylation systems and highlights the benefits of such analysis in electrosynthetic reactions.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)