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Assembling Close Strains in Metagenome Assemblies Using Discrete Optimization

Assembling Close Strains in Metagenome Assemblies Using Disc...

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17th international Joint conference on Biomedical engineering Systems and Technologies, BIOSTEC 2024

作者： Truong, Tam Khac Minh Faure, Roland Andonov, Rumen Univ. Rennes INRIA RBA CNRS UMR 6074 Rennes France Brussels 1050 Belgium

Metagenomic assembly is essential for understanding microbial communities but faces challenges in distinguishing conspecific bacterial strains. this is especially true when dealing with low-accuracy sequencing reads such as PacBio CLR and Oxford Nanopore. While these technologies provide unequaled throughput and read length, the high error rate makes it difficult to distinguish close bacterial strains. Consequently, current de novo metagenome assembly methods excel to assemble dominant species but struggle to reconstruct low-abundance strains. In our study, we innovate by approaching strain separation as an Integer Linear programming (ILP) problem. We introduce a strain-separation module, strain Miner, and integrate it into an established pipeline to create strain-separated assemblies from sequencing data. Across simulated and real experiments encompassing a wide range of error rates (5-12%), our tool consistently compared favorably to the state-of-the-art in terms of assembly quality and strain reconstruction. Moreover, strainMiner substantially cuts down the computational burden of strain-level assembly compared to published software by leveraging the powerful Gurobi solver. We think the new methodological ideas presented in this paper will help democratizing strain-separated assembly. © 2024 by SCITEPRESS– science and Technology Publications, Lda.

关键词： Integer linear programming

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Two-Step Optimization Method for Multi-objective Crop Planning Problem in Contract Farming System 3rd

Two-Step Optimization Method for Multi-objective Crop Planni...

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3rd international conference on Smart Manufacturing, Industrial and Logistics engineering, SMILE 2023 and the 7th Asian conference of Management science and Applications, ACMSA 2023

作者： Hasuike, Takashi Huang, Yameng Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan

ISBN: (纸本)9789819701933

this study examines a contract farmer system between a public institution and farmers from the perspective of mathematical optimization, with local production for local consumption of agricultural products in mind. Specifically, it is considered to stabilize the profits of local farmers by maximizing their agricultural output, while at the same time maximizing the profits (or minimizing the costs) of the public agency. the proposed problem is formalized as a multi-objective optimization problem, and the optimal solution cannot be obtained directly. therefore, in this study, the proposed mathematical programming problem is solved in two steps to obtain the optimal solution, taking into account the importance of the objective function. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Profitability

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Temporal-difference Adaptive Graph Convolutional Network for Skeleton-based Action Recognition 4

Temporal-difference Adaptive Graph Convolutional Network for...

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2023 4th international conference on Internet of things, artificial Intelligence and Mechanical Automation, IoTAIMA 2023

作者： Liu, Fuchun Huang, Shengfeng School of Automation Science and Engineering South China University of Technology Guangzhou China

In action recognition based on the skeleton, graph convolutional networks (GCNs) have shown great superiority based on the design of making the skeleton in the video a spatiotemporal map and extracting features from the spatiotemporal map. However, the topology of the skeleton in GCN-based methods is pre-designed according to prior knowledge, which limits the capacity of the network to learn high-level topology about the skeleton. To improve this deficiency, we design a temporal-difference adaptive graph convolutional network (TDA-GCN) that can learn the potential topology of the human skeleton from the input data, which is augmented using the channel attention module. Experiments show that TDA-GCN achieves state-of-the-art performance on two large-scale skeleton datasets, NTU-RGBD and Kinetics-Skeleton. © Published under licence by IOP Publishing Ltd.

关键词： Topology

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Modelling Coarse- and Fine-grained User Representation for News Recommendation 4

Modelling Coarse- and Fine-grained User Representation for N...

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4th international conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Zhang, Xin Yu, Jie Kong, Wenya School of Computer Engineering and Science Shanghai University China

ISBN: (纸本)9798400709449

News recommendation systems help users quickly access content of interest from a vast amount of news. the key challenge lies in obtaining accurate user and news representations. Existing news recommendation methods typically model the entire sequence of user interactions with news, which makes it difficult to capture fine-grained user representation as user interests typically change over time. In this paper, we propose two different granularities of user representation: fine-grained user representation obtained from subsequences and coarse-grained user representation obtained from the entire user browsing sequence. We combine the fine-grained and coarse-grained user representation for news recommendation (CoFi-Rec). Our approach in news recommendation has been extensively validated through experiments conducted on two realistic datasets, MIND-small and MIND-large. these experiments demonstrate the effectiveness of our approach when compared to 7 state-of-the-art news recommendation methods. © 2023 ACM.

关键词： Recommender systems

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Introducing Green thinking Into CS Bachelor Curriculum 2023

Introducing Green Thinking Into CS Bachelor Curriculum

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28th Annual conference on Innovation and Technology in Computer science Education (ITiCSE)

作者： Oprescu, Ana Kokken, Ingrid Maat, Kyrian de Geus, Florine Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9798400701399

By 2030 greenhouse gas emissions should be reduced by at least 55%. Despite hardware becoming more energy-efficient (Koomey's law), the ever-increasing reliance on computer technology has increased the energy usage due to ICT significantly. In software engineering (SE), there are many choices from programming languages to development patterns that influence energy efficiency. Recent research inspired our work on incorporating energy efficiency into SE education. An international group of researchers formulated initial recommendations for introducing green and sustainable software engineering [4] to students. An EU-US team formulated more refined recommendations for introducing green thinking as modules in existing courses [3]. ICT4S'22 best paper addressed HES eco-anxiety when teaching sustainability [2]. In this work we report on the experience of introducing reflection on energy efficiency into the default requirements of a SE course, and how that influenced students to address energy efficiency in their projects. Out of 8 teams, 7 implemented at least a small energy-efficient component. However, as one group donated to a climate charity in bitcoins, we need more ways to raise awareness.

关键词： project-based software engineering energy efficiency awareness

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Robot trajectory optimization design based on hybrid ant colony algorithm 4

Robot trajectory optimization design based on hybrid ant col...

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4th international conference on artificial Intelligence and Computer engineering, ICAICE 2023

作者： Ying, Yu Yi, Wu School of Design and Art Shenyang Architecture University Hunnan Liaoning Shenyang China

ISBN: (纸本)9798400708831

this thesis investigates the innovative integration and application of algorithms of hybrid ant colony algorithm in solving intelligent robot path optimization problems. Among the many branches of intelligent robots, the path planning problem is a particularly important one, and with the development of science and technology and the wide application of intelligent robots, the design of robot trajectory optimization is facing new challenges. the native ant colony algorithm is easy to fall into the local optimal solution in dealing with the problem of robot path planning. through algorithm analysis, a hybrid ant colony algorithm is proposed. When integrating genetic algorithm and incorporating crossover and mutation factors into the hybrid ant colony algorithm, it not only enhances the diversity of the population, but also speeds up the convergence speed of the algorithm and improves the quality of the optimal solution. the case study shows that the combination of ant colony algorithm and genetic algorithm effectively avoids the problems of instability and poor robustness of the traditional ant colony algorithm, and a more efficient and stable path planning solution can be obtained, which further improves the working effect of the intelligent robot. © 2023 ACM.

关键词： Genetic algorithms

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Application of Gray programming in Consumer Satisfaction Evaluation of Commercial Fitness Clubs 25

Application of Gray Programming in Consumer Satisfaction Eva...

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Proceedings of the 2025 4th international conference on Big Data, Information and Computer Network

作者： Shanqing Yan Xianyun Chu Department of Information Engineering and Art Design Anhui ZhongAo Institute of Technology Hefei Anhui China Basic Teaching Department Anhui ZhongAo Institute of Technology Hefei Anhui China

ISBN: (纸本)9798400712425

For commercial fitness clubs, consumer satisfaction is a key factor influencing conversion rates, renewal rates, and overall profitability. It is characterized by volatility, necessitating continuous assessment. this study, based on the gray 0-1 programming model, proposed an evaluation method that can identify and rank the indicators of consumer satisfaction in commercial fitness clubs, aiming to enhance consumer satisfaction and improve operator profits. In this context, consumers are defined as individuals with both demand and purchasing power, intending to purchase services or have already consumed them. the results demonstrate that although this method involves complex steps and high survey costs, its compensation effects and dynamic control advantages make it rational in practical applications. this not only promotes the use of gray programming in the interdisciplinary field of sports but also provides valuable insights into the sustainable development of commercial fitness clubs.

关键词： commercial fitness club consumer

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the impact of emotional valence on students learning performance and evaluation: A text mining of students' opinion data 4

The impact of emotional valence on students learning perform...

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4th international conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Okoye, Kingsley Institute for Future of Education School of Engineering and Sciences Tecnologico de Monterrey Writing Lab Department of Computer Science Nuevo LeonCP 64849 Mexico

ISBN: (纸本)9798350391183

Emotions classification or valence extraction in textual datasets, *** students' opinion data, is becoming an emerging topic aimed at understanding the impact or intensities of words (terms) used by the users in the different contexts/applications. the method (emotional valence) for textual data scrutiny and exploration have proved to be central to the human experience analysis. To this effect, this study implements a text mining approach that determines the impact of the emotional valence (textual data quantification) shown by the students in their feedback provided during the semester course (pre and post) to determine its (emotional classification) relation or interconnectedness with the students' learning outcome and performance. the proposed method is designed based on the appraisal theories and component process model (CPM) that studies the degree of pleasantness or goal achievement as an effect of valence judgements. Technically, the study identifies the top terms in the students' data that can be used to draw insights or understand the learning experiences or performance by using Corpus feature selection and Term document matrix word processing libraries in R programming software. Also, it utilized the emotional valence score (quantified data) extracted from the analyzed (textual) data to statistically investigate the correlation and effect of the emotions scores (polarization or intensity of words) expressed by the students with their final grade or learning outcome using Sentiment Analysis package and Statistical analysis methods such as the Spearman's rho (ρ), Kendall's tau (r), and Kruskal-Wallis H-Test in R. the results shows that while in overall the emotional valence of the students do not influence or determine the outcome of their study or final average grade (p>0.05). When considering the analyzed comments: Pre-and Post-Course;it found that emotional scores (valence) expressed by the students in the Post-Course are more closely related or linke

关键词： Contrastive Learning

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Named Entity Recognition Nesting Based on Synergy between Two Feature Streams 6

Named Entity Recognition Nesting Based on Synergy between Tw...

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6th international conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Luo, Wenyu Guo, Zhiliang Xiao, Zhe Jiang, Chen Zhu, Hao Wu, Yuting Solianyk, Alla Beijing System Design Institute of the Electro-mechanic Engineering Beijing China Kharkiv State Academy of Culture Bursatskyi Uzviz 4 Kharkiv61057 Ukraine School of Electronic and Information Guangdong Polytechnic Normal University Guangzhou China Beijing Normal University Faculty of Art and Science Zhuhai China College of International Business and Economics Wtu Wuhan China Shanxi University Taiyuan China Kharkiv State Academy of Culture Kharkiv Ukraine

ISBN: (纸本)9798350353174

To tackle the challenge of inefficient feature extraction post-text encoding, we introduce a nested model for named entity recognition, leveraging the synergy of two distinct feature streams. this model operates by embedding sentences at both word and character levels, leveraging a neural network Bi-LSTM for contextual information acquisition. Subsequently, the resultant vectors are fed into a module for low-level and high-level feature complementarity. the model further includes modules for entity word recognition and fine-grained division, enabling the extraction of internal entities within the entity word interval. Experimental findings underscore a substantial enhancement in feature extraction efficacy compared to conventional models. © 2024 IEEE.

关键词： Neural networks

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Effect of Insulating Binders on the Performance of Supercapacitors 4

Effect of Insulating Binders on the Performance of Supercapa...

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4th IEEE international conference on Dielectrics, ICD 2022

作者： Chatterjee, Kingshuk Gupta, Nandini Iit Kanpur Department of Electrical Engineering Kanpur India

ISBN: (数字)9781665418331

ISBN: (纸本)9781665418331

Supercapacitors are state-of-the-art eco-friendly energy storage devices featuring impressive power capacity not achievable by batteries. High surface area of the electrodes is achieved by using nano porous carbon particles. Polymeric binders provide mechanical integrity to the electrode, but hinders the charge from accessing some parts of the porous surface. In this study, the effect of binders in covering pores and also insulating some of the conductive carbon particles causing a decrease in capacitance is investigated with the help of Energy Dispersive Spectroscopy (EDS) and Brunauer-Emmett-Teller (BET) analysis. A quantitative analysis of the capacitance lost as a consequence of these twin effects is studied. © 2022 IEEE.

关键词： Binders

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