Image guided construction of a common coordinate framework for spatial transcriptome data by Peter Lais, Shawn Mishra, Kun Xiong, Huanan Shi, Gurinder Singh Atwal, Yu Bai

“…Here we present a deep learning algorithm STaCker that unifies the coordinates of transcriptomic slices via an image registration process. …”
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A Decentralized Partially Observable Markov Decision Model with Action Duration for Goal Recognition in Real Time Strategy Games by Peng Jiao, Kai Xu, Shiguang Yue, Xiangyu Wei, Lin Sun

“…In this paper, a model-free algorithm named cooperative colearning based on Sarsa is used. …”
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Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex by Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, Sophia Cinquemani, Nicholas J. Eagles, Daianna Gonzalez-Padilla, Sean K. Maden, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado-Torres

“…We use this dataset to evaluate six deconvolution algorithms. Bisque and hspe were the most accurate methods. …”
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Online Spectroscopic Study on the Positive and the Negative Electrolytes in Vanadium Redox Flow Batteries by Le Liu, Jingyu Xi, Zenghua Wu, Wenguang Zhang, Haipeng Zhou, Weibin Li, Yonghong He

“…Traditional spectroscopic analysis based on the Beer-Lambert law cannot analyze the analyte with high concentration and interference between different compositions, such as the electrolyte in vanadium redox flow batteries (VRBs). …”
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Improving the area-preserving parameterization of rational Bézier surfaces by rational bilinear transformation by Xiaowei Li, Yingjie Wu, Yaohui Sun, Xin Chen, Yanru Chen, Yi-jun Yang

“…To improve the area-preserving parameterization quality of rational Bézier surfaces, an optimization algorithm using bilinear reparameterization is proposed. …”
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Equatorial convection controls boreal summer intraseasonal oscillations in the present and future climates by Aditya Kottapalli, P. N. Vinayachandran

“…In this study, the ability of Coupled Model Inter Comparison Project Phase 6 (CMIP6) models to capture the northward propagation of boreal summer intraseasonal oscillation (BSISO) is examined using a counting algorithm. A composite moisture budget reveals the difference in moisture dynamics between the above-average-performing (AAPM) and below-average-performing (BAPM) models. …”
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Secure energy efficiency maximization for joint ITS and IRS assisted satellite downlink communications by Shaochuan Yang, Kaizhi Huang, Hehao Niu, Yi Wang, Ya Liu, Zheng Chu

“…Then the reformulated problem is decoupled using alternating optimization algorithm and the subproblems are solved by adopting Riemannian manifold optimization, element‐wise block coordinate descent, Lagrange dual method and Karush–Kuhn–Tucker conditions. …”
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Model Based Control System Design Using SysML, Simulink, and Computer Algebra System by Takashi Sakairi, Eldad Palachi, Chaim Cohen, Yoichi Hatsutori, Junya Shimizu, Hisashi Miyashita

“…The integration with Simulink enables users to perform systems engineering process in a SysML model, while designing continuous control algorithms and plant behavior in Simulink, and to validate the behavior by simulating the overall composition in Simulink. …”
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A gut instinct for childhood leukemia prevention: microbiome-targeting recommendations aimed at parents and caregivers by Ersen Kameri, Ersen Kameri, Ersen Kameri, Vera Helena Jepsen, Pawel Stachura, Pawel Stachura, Nadine Rüchel, Rigveda Bhave, Leticia Benitez, Fatima Crispi, Eduard Gratacos, Nico Dragano, Stefan Janssen, Arndt Borkhardt, Arndt Borkhardt, Aleksandra Pandyra, Aleksandra Pandyra, Aleksandra Pandyra, Gesine Kögler, Gesine Kögler, Ute Fischer, Ute Fischer, Ute Fischer

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Defining analytical skills for human resources analytics: A call for standardization by Konrad Kulikowski

“…PURPOSE: Human resources (HR) analytics systems, powered by big data, AI algorithms, and information technology, are increasingly adopted by organizations to enhance HR’s impact on business performance. …”
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A Review of Green Agriculture and Energy Management Strategies for Hybrid Tractors by Yifei Yang, Yifang Wen, Xiaodong Sun, Renzhong Wang, Ziyin Dong

“…In this paper, the energy management technology of hybrid tractors is reviewed, with emphasis on the energy scheduling between the internal combustion engine and electric motor, the optimization control algorithm, and its practical performance in agricultural applications. …”
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Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…Our approach introduces a new SU clustering method based on fuzzy logic, paired with a hierarchical learning method inspired by the well-known UCB1 algorithm to allocate power effectively to these clusters. …”
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Finite time trajectory tracking control of underwater salvage robot under full-state constraints by Xue Bai, Yan Zhang, Wenyi Tan, Yang Liu, Baihui Jiang, Jiawei Wang

“…The scheme uses the super-twisting algorithm to design the observer to accurately estimate the composite disturbance composed of model uncertainty and unknown complex time-varying disturbance in the system. …”
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Characteristic expression profile of small nucleolar RNAs and their association with tumor immune microenvironment in papillary thyroid carcinoma by Qi-Lan Jiang, Fu-Yi Wang, Yuan Men, Yi-Huan Wu, Qin Xu, Yang Zeng, Jun Jiang

“…Furthermore, we applied CIBERSORTx and ESTIMATE algorithms to investigate the association between DE-snoRNA expression levels and clinicopathological features as well as tumor immune microenvironment in PTC. …”
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Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids by Ziming Zhou, Zihao Wang, Yanan Zhang, Xiaoxue Wang

“…The model was further transformed into two sub-problems, which were solved in a distributed manner using the ADMM algorithm. The effectiveness of the proposed method in enhancing the operational security and economic efficiency of the distribution networks is validated through simulation analysis.…”
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Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data by Yifan Zhou, Richard Davies, James Wright, Stephen Ablett, Simon Maskell

“…Experiments involving multiple machine learning algorithms showed that such port visits are informative features when inferring ship type. …”
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Linear and Nonlinear Multivariate Classification of Iranian Bottled Mineral Waters According to Their Elemental Content Determined by ICP-OES by J.B. Ghasemi, E. Zolfonoun, R. Khosrokhavar

“…The combinations of inductively coupled plasma-optical emission spectrometry (ICP-OES) and three classification algorithms, i.e., partial least squares discriminant analysis (PLS-DA), least squares support vector machine (LS-SVM) and soft independent modeling of class analogies (SIMCA), for discriminating different brands of Iranian bottled mineral waters, were explored. …”
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Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data by Petrov Vladislav, Ustinov Stepan, Minaev Vasilii

“…Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. …”
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An improved hybrid policy optimization method for economic-preference dispatch considering cross time-scales collaboration by Qianli Zhang, Hao Tang, Duanchao Li

“…In this paper, we present an improved DRL algorithm, called distributed partial-modulation proximal policy optimization (DPMPPO), to address this issue. …”
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An optimization method to improve the performance of unmanned aerial vehicle wireless sensor networks by Hui-Ru Cao, Zhi Yang, Xue-Jun Yue, Yong-Xin Liu

“…Additionally, a simulated annealing algorithm is employed to detect the optimal flight trajectory according the ground wireless sensor network architecture. …”
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