Article
Chemistry, Analytical
Riccardo Ballarini, Marco Ghislieri, Marco Knaflitz, Valentina Agostini
Summary: This study describes and validates an algorithm for choosing the optimal number of muscle synergies (ChoOSyn) in motor control studies, which can overcome the limitations of VAF-based methods. The algorithm outperformed traditional approaches in terms of correct classifications, mean error, and root mean square error, demonstrating its potential to standardize the selection of muscle synergies across different research laboratories.
Article
Chemistry, Multidisciplinary
Ying-Jin Wang, Jia-Xin Zhao, Miao Yan, Lin-Yan Feng, Chang-Qing Miao, Cheng-Qi Liu
Summary: In this study, a theoretical investigation on La(c)B8C4q (q=+1, 0, -1) clusters with dodeca-coordinated La atom was reported. The La(c)B8C4q clusters exhibited fascinating molecular wheel structures, with a La atom enclosed by B8C4 monocyclic ring. Neutral La(c)B8C4 cluster and anionic La(c)B8C4- showed 10 sigma and 9 pi/10 pi double aromaticity, while cationic La(c)B8C4+ displayed conflicting aromaticity with 10 sigma and 8 pi bonds.
Article
Computer Science, Information Systems
Wilson Calmon, Mariana Albi
Summary: This study introduces two methods for estimating the number of clusters in a population, based on the Plackett-Luce model, which perform well in a large-scale simulation study. The results show that these methods have higher accuracy and smaller errors compared to other established and recently proposed methodologies.
INFORMATION SCIENCES
(2021)
Article
Multidisciplinary Sciences
Kyuri Jo, Inyoung Sung, Dohoon Lee, Hyuksoon Jang, Sun Kim
Summary: A novel time series clustering framework called TRACS is introduced in this study to infer transcriptomic cellular states solely from time series transcriptome data. By integrating Gaussian process regression, shape-based distance, and ranked pairs algorithm, TRACS can determine patterns corresponding to hidden cellular states through clustering gene expression data.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Artificial Intelligence
Peter Olukanmi, Fulufhelo Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala
Summary: This paper addresses two key challenges of k-means clustering. In the first part, it provides estimates for the range of k required for clustering and improves the efficiency of the k-means algorithm through automation. In the second part, it incorporates automatic outlier detection into the k-means process, solving a previous problem regarding complete automation.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Qiang Fu, Yufan Zhuang, Jiaxin Gu, Yushu Zhu, Xin Guo
Summary: Topic modeling is a key research area in natural language processing that has inspired innovative studies in various social-science disciplines. However, its application in computational social science is hindered by the lack of systematic comparison between different methods and the challenge of choosing the optimal number of topics. This study reviews and compares eight traditional, generative, and neural methods for topic modeling based on Canadian newspaper articles, using three measures to evaluate their performance and guide the selection of topic-modeling methods in social science research.
Article
Chemistry, Physical
Liwei Chang, Alberto Perez, Ramon Alain Miranda-Quintana
Summary: The paper introduces new algorithms for classifying structural ensembles of macromolecules using extended similarity measures which reduce computational complexity. The approach captures larger ensembles and transitions between states, developing efficient techniques and a novel clustering algorithm utilizing the extended similarity indices. The new metrics are applied to analyze biological systems' ensembles, showing excellent performance and faster processing, with an efficient cost-function for merging clusters.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2021)
Article
Biochemical Research Methods
Zhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, Hong-Dong Li, Qing-Song Xu
Summary: This study introduced a new method, REBET, for determining the number of cell clusters in single-cell RNA-seq data by removing batch effects. The method showed improved accuracy and robustness compared to existing methods, as demonstrated in comparisons on simulated and published datasets.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Multidisciplinary Sciences
Chin Hong Ng, Kevin Kit Siong Ng, Soon Leong Lee, Nurul-Farhanah Zakaria, Chai Ting Lee, Lee Hong Tnah
Summary: International timber trade communities are demanding sustainably sourced timber. This study developed chloroplast DNA and simple sequence repeat databases as tracking tools to trace the origin of timber.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Environmental
Rujing Yin, Chao Yan, Runlong Cai, Xiaoxiao Li, Jiewen Shen, Yiqun Lu, Siegfried Schobesberger, Yueyun Fu, Chenjuan Deng, Lin Wang, Yongchun Liu, Jun Zheng, Hongbin Xie, Federico Bianchi, Douglas R. Worsnop, Markku Kulmala, Jingkun Jiang
Summary: Molecular clustering is the initial step of atmospheric new particle formation, generating numerous secondary particles. Ion clusters were found to contain mixed clusters of sulfuric acid and amine, while only sulfuric acid clusters and sulfuric acid-amine clusters were observed in the neutral form. Oxygenated organic molecule clusters charged by nitrate and bisulfate ions were observed in ion clusters and were not correlated with the occurrence of sub-3 nm particles.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Arne Mertens, Yves Bawin, Samuel Vanden Abeele, Simon Kallow, Dang Toan Vu, Loan Thi Le, Tuong Dang Vu, Rony Swennen, Filip Vandelook, Bart Panis, Steven B. Janssens
Summary: The study found relatively high genetic diversity in populations of Musa balbisiana in China, central Vietnam, and northern Vietnam. Populations in northern Vietnam formed a distinct genetic cluster, possibly due to geographical features such as mountain ranges and river systems. Populations in central Vietnam and on the western side of the Hoang Lien Son mountain range in northern Vietnam are considered native and should be prioritized for conservation.
Article
Automation & Control Systems
K. Balaji, K. Lavanya
Summary: The study proposes an intelligent method for clustering categorical and numerical datasets, addressing issues in existing clustering algorithms and achieving good results.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Andras Cseh, Peter Poczai, Tibor Kiss, Krisztina Balla, Zita Berki, Adam Horvath, Csaba Kuti, Ildiko Karsai
Summary: Historical wheat landraces are valuable resources for genetic diversity, with distinct differences in polymorphisms compared to modern wheat cultivars. This study identified novel rare alleles and polymorphic markers related to important agronomic traits in a Central European bread wheat landrace collection. The research also revealed uneven distribution of polymorphisms along the wheat genome.
SCIENTIFIC REPORTS
(2021)
Editorial Material
Medicine, General & Internal
Konstantin Chumakov, Christian Brechot, Robert C. Gallo, Stanley Plotkin
Summary: Choosing the right path towards polio eradication requires reevaluation of the current epidemic strategy, with long-term immunization policies that protect vaccinees and minimize the silent circulation of polioviruses.
NEW ENGLAND JOURNAL OF MEDICINE
(2023)
Letter
Medicine, General & Internal
T. Jacob John, Norbert Hirschhorn, Dhanya Dharmapalan, Konstantin Chumakov, Stanley Plotkin
Summary: The authors agree with Chumakov et al.'s dissatisfaction with the use of oral polio vaccine (OPV) and propose using inactivated polio vaccine (IPV) to eradicate polio. They provide examples of countries that have successfully eliminated polio using this method.
NEW ENGLAND JOURNAL OF MEDICINE
(2023)
Article
Mathematics, Interdisciplinary Applications
Renato Cordeiro de Amorim, Vladimir Makarenkov, Boris Mirkin
JOURNAL OF CLASSIFICATION
(2020)
Article
Mathematics, Interdisciplinary Applications
Boris Mirkin, Trevor I. Fenner
JOURNAL OF CLASSIFICATION
(2019)
Article
Computer Science, Information Systems
Dmitry Frolov, Susana Nascimento, Trevor Fenner, Boris Mirkin
INFORMATION SCIENCES
(2020)
Article
Multidisciplinary Sciences
Soroosh Shalileh, Boris Mirkin
Summary: In this study, a doubly-greedy approach was used for community detection in feature-rich networks. By converting feature-space data into similarity matrix format, four different algorithms were developed for automatic determination of the number of communities. Experimental results on real-world and synthetic datasets demonstrated the effectiveness and competitiveness of these algorithms.
Article
Computer Science, Information Systems
Soroosh Shalileh, Boris Mirkin
Summary: The study introduces a data-driven model for partitioning nodes in a network to approximate network link data and feature data, involving summary quantitative characteristics of both. The experiments show that the nonsummability version has its own niche and is faster than the other version.
SOCIAL NETWORK ANALYSIS AND MINING
(2021)
Article
Physics, Multidisciplinary
Soroosh Shalileh, Boris Mirkin
Summary: This paper proposes a meaningful and effective extension of the K-means algorithm to detect communities in feature-rich networks. The method uses least-squares approximation to the inter-node links and feature values, resulting in a straightforward extension of the conventional K-means clustering method. The metric used is a weighted sum of squared Euclidean distances in both the feature and network spaces.
Article
Mathematics, Interdisciplinary Applications
Boris Mirkin, Soroosh Shalileh
Summary: The problem of community detection in a network with node features is addressed by applying the data recovery approach. The proposed method combines the least-squares recovery criteria for both the graph structure and node features, resulting in a new clustering criterion and algorithm. Experimental results on real-world and synthetic data demonstrate the effectiveness of the proposed method.
JOURNAL OF CLASSIFICATION
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim F. Luis, Boris Mirkin
Summary: This work proposes a spatiotemporal clustering approach using Core-Shell clustering algorithm to model coastal upwelling from satellite SST grid maps, enabling automated derivation of key parameters. Experiments show that the core-shell clustering accurately recognizes upwelling regions and presents consistent regularities across different upwelling seasons.
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Soroosh Shalileh, Boris Mirkin
Summary: We propose an extension of the K-means algorithm for community detection in feature-rich networks. By replacing the squared Euclidean distance with cosine distance, we effectively tackle the curse of dimensionality. Our experimental results show that the cosine distance-based version performs the best, especially on larger datasets.
COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 1
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Soroosh Shalileh, Boris Mirkin
2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Alexey Myachin, Boris Mirkin
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2019, PT I
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Dmitry Frolov, Susana Nascimento, Trevor Fenner, Zina Taran, Boris Mirkin
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING (IDEAL 2019), PT II
(2019)
Proceedings Paper
Computer Science, Information Systems
Zina Taran, Boris Mirkin
BUSINESS INFORMATION SYSTEMS, PT I
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Dmitry Frolov, Boris Mirkin, Susana Nascimento, Trevor Fenner
ARTIFICIAL INTELLIGENCEAND SOFT COMPUTING, PT I
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Boris Mirkin
BRAVERMAN READINGS IN MACHINE LEARNING: KEY IDEAS FROM INCEPTION TO CURRENT STATE
(2018)
