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Network alignment
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The research "Transforming tourism experiences: Unleashing the power of ICTA - An intelligent chatbot tourist's assistant" integrates Maslow's Hierarchy of Needs into the development of an Intelligent Chatbot Tourist's Assistant (ICTA) to enhance tourism services. The study reviews existing literature on tourism, chatbot technology, and Maslow's Hierarchy, and curates a dataset aligned with different levels of the hierarchy. Using Convolutional Neural Networks (CNN) within TensorFlow, the ICTA is trained and evaluated for accuracy, response time, and user satisfaction.
9p
tonhiemm
07-06-2024
4
1
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Ebook "Functional coherence of molecular networks in bioinformatics" will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.
235p
ladongphongthanh1008
22-04-2024
5
3
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This research paper presents a framework for smart factory applications in ceramic manufacturing, harnessing data collection and machine learning algorithms to seamlessly align with the demands of Industry 4.0 and facilitate digital transformation. At its core, the framework is exemplified through the creation of a dynamic web application, consisting of three pivotal modules.
7p
vigojek
02-02-2024
8
0
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Continued part 1, part 2 of ebook "The privacy engineer's manifesto: Getting from policy to code to QA to value" provides readers with contents including: organizing for the privacy information age; engineering your organization to be privacy ready; organizational design and alignment; where do we go from here; value and metrics for data assets; a vision of the future: the privacy engineer’s manifesto; use-case metadata; meet the contributors;...
156p
tieulangtran
28-09-2023
4
2
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The Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital and electronic health records (EHRs) data with state-wide Medicare and Medicaid claims and assess how claims and clinical data complement each other to identify obesity and related comorbidities in a patient sample.
11p
vighostrider
25-05-2023
4
2
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Lecture Survey and alignment in accelerators. The main topics covered in this chapter include: introduction to geodesy; steps of alignment; instrumentation toolkit; application to colliders: LHC, HL-LHC, CLIC and FCC; alignment R&D;...
170p
charaznable
06-06-2022
13
2
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Alignment-free methods, more time and memory efficient than alignment-based methods, have been widely used for comparing genome sequences or raw sequencing samples without assembly.
17p
vielonmusk
30-01-2022
10
0
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The Hierarchical Transfer Network (HTN) leverages octave convolution, pyramid features, and self-attention mechanism for revamping the classic models, which can be further integrated with any domain alignment approaches by replacing the feature extractor with the proposed HTN.
13p
guernsey
28-12-2021
5
0
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Aligning protein-protein interaction (PPI) networks is very important to discover the functionally conserved sub-structures between different species. In recent years, the global PPI network alignment problem has been extensively studied aiming at finding the one-to-one alignment with the maximum matching score. However, finding large conserved components remains challenging due to its NP-hardness
18p
vitzuyu2711
29-09-2021
13
1
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Proteins play essential roles in almost all life processes. The prediction of protein function is of significance for the understanding of molecular function and evolution. Network alignment provides a fast and effective framework to automatically identify functionally conserved proteins in a systematic way.
7p
vijeeni2711
24-07-2021
11
0
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After studying this chapter you will be able to understand: What is cell alignment? What is the purpose of Fill handle? Why comments are inserted in the excel sheet? Why hyperlinks are used?
35p
larachdumlanat126
31-12-2020
17
4
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High throughput experiments have generated a signifcantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation.
18p
vikentucky2711
26-11-2020
8
0
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Network query problem aligns a small query network with an arbitrarily large target network. The complexity of this problem grows exponentially with the number of nodes in the query network if confidence in the optimality of result is desired. Scaling this problem to large query and target networks remains to be a challenge.
17p
vikentucky2711
24-11-2020
10
1
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All molecular functions and biological processes are carried out by groups of proteins that interact with each other. Metaproteomic data continuously generates new proteins whose molecular functions and relations must be discovered.
22p
vikentucky2711
24-11-2020
13
1
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The alignment of protein-protein interaction networks was recently formulated as an integer quadratic programming problem, along with a linearization that can be solved by integer linear programming software tools.
14p
vikentucky2711
24-11-2020
14
1
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Metabolism is generally modeled by directed networks where nodes represent reactions and/or metabolites. In order to explore metabolic pathway conservation and divergence among organisms, previous studies were based on graph alignment to find similar pathways.
9p
vioklahoma2711
19-11-2020
13
2
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The post-genomic era with its wealth of sequences gave rise to a broad range of protein residueresidue contact detecting methods. Although various coevolution methods such as PSICOV, DCA and plmDCA provide correct contact predictions, they do not completely overlap.
9p
vioklahoma2711
19-11-2020
6
1
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Many critical biological processes are strongly related to protein-RNA interactions. Revealing the protein structure motifs for RNA-binding will provide valuable information for deciphering protein-RNA recognition mechanisms and benefit complementary structural design in bioengineering.
13p
vioklahoma2711
19-11-2020
5
0
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Recently the study of the complex system of connections in neural systems, i.e. the connectome, has gained a central role in neurosciences. The modeling and analysis of connectomes are therefore a growing area. Here we focus on the representation of connectomes by using graph theory formalisms.
15p
viflorida2711
30-10-2020
9
1
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Recently developed methods of protein contact prediction, a crucially important step for protein structure prediction, depend heavily on deep neural networks (DNNs) and multiple sequence alignments (MSAs) of target proteins.
15p
vicolorado2711
23-10-2020
27
0
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