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BBMerge – Accurate paired shotgun read merging via overlap Open
Merging paired-end shotgun reads generated on high-throughput sequencing platforms can substantially improve various subsequent bioinformatics processes, including genome assembly, binning, mapping, annotation, and clustering for taxonomic…
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A Review of Smart Cities Based on the Internet of Things Concept Open
With the expansion of smart meters, like the Advanced Metering Infrastructure (AMI), and the Internet of Things (IoT), each smart city is equipped with various kinds of electronic devices. Therefore, equipment and technologies enable us to…
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Enhancing deep learning sentiment analysis with ensemble techniques in social applications Open
Deep learning techniques for Sentiment Analysis have become very popular. They provide automatic feature extraction and both richer representation capabilities and better performance than traditional feature based techniques (i.e., surface…
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Seasonal Drought Prediction: Advances, Challenges, and Future Prospects Open
Drought prediction is of critical importance to early warning for drought managements. This review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid methods. Statistical drought prediction is achieved b…
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Deep high dynamic range imaging of dynamic scenes Open
Producing a high dynamic range (HDR) image from a set of images with different exposures is a challenging process for dynamic scenes. A category of existing techniques first register the input images to a reference image and then merge the…
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Smart Manufacturing and Intelligent Manufacturing: A Comparative Review Open
The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM), have …
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How Many Jobs Can be Done at Home? Open
Evaluating the economic impact of "social distancing" measures taken to arrest the spread of COVID-19 raises a fundamental question about the modern economy: how many jobs can be performed at home?We classify the feasibility of working at …
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The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices Open
In this paper, we propose a robust methodology to assess the value of microblogging data to forecast stock market variables: returns, volatility and trading volume of diverse indices and portfolios. The methodology uses sentiment and atten…
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MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation Open
sponsorship: This work is supported by National Key R&D Program of China (No. 2020AAA0108904), Science and Technology Plan of Shenzhen (No. JCYJ20200109140410340). (National Key R&D Program of China|2020AAA0108904, Science and Technology P…
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Neurophysiological dynamics of phrase-structure building during sentence processing Open
Significance According to most linguists, the syntactic structure of sentences involves a tree-like hierarchy of nested phrases, as in the sentence [happy linguists] [draw [a diagram]]. Here, we searched for the neural implementation of th…
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MOCCA-SURVEY Database – I. Coalescing binary black holes originating from globular clusters Open
In this first of a series of papers, we utilize results for around 2000 star cluster models simulated using the mocca code for star cluster evolution (Survey Database I) to determine the astrophysical properties and local merger rate densi…
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Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets Open
Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor and non-motor characteristics. PD patients commonly face vocal impairments during the early stages of the disease. So, diagnosis systems based on vocal…
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Black holes: The next generation—repeated mergers in dense star clusters and their gravitational-wave properties Open
When two black holes merge in a dense star cluster, they form a new black\nhole with a well-defined mass and spin. If that "second-generation" black hole\nremains in the cluster, it will continue to participate in dynamical\nencounters, fo…
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Formation and evolution of compact-object binaries in AGN disks Open
The astrophysical origin of gravitational wave (GW) events discovered by LIGO/VIRGO remains an outstanding puzzle. In active galactic nuclei (AGNs), compact-object binaries form, evolve, and interact with a dense star cluster and a gas dis…
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Detection of PCB Surface Defects With Improved Faster-RCNN and Feature Pyramid Network Open
Defect detection is an essential requirement for quality control in the production of printed circuit boards (PCBs) manufacturing. The traditional defect detection methods have various drawbacks, such as strongly depending on a carefully d…
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3D genomics across the tree of life reveals condensin II as a determinant of architecture type Open
Organismal evolution of the 3D genome The conformation of chromosomes within the nucleus can reflect a cell's type or state. However, studies of the conservation and evolutionary history of the mechanisms regulating genome structure across…
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Non-Hermitian extensions of higher-order topological phases and their biorthogonal bulk-boundary correspondence Open
Non-Hermitian Hamiltonians, which describe a wide range of dissipative\nsystems, and higher-order topological phases, which exhibit novel boundary\nstates on corners and hinges, comprise two areas of intense current research.\nHere we inve…
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The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) Open
Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth’s surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator …
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Intellectual capital, knowledge management practices and firm performance Open
Purpose The purpose of this paper is to examine the association of different configurations of intellectual capital (IC) and knowledge management practices (KMP) with firm performance. Do firms with different profiles concerning their over…
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Complete characterization of the stability of cluster synchronization in complex dynamical networks Open
Group theory and optics predict and test how and when clusters synchronize, merge, and persist in balanced dynamical networks.
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Physical intelligence as a new paradigm Open
Intelligence of physical agents, such as human-made (e.g., robots, autonomous cars) and biological (e.g., animals, plants) ones, is not only enabled by their computational intelligence (CI) in their brain, but also by their physical intell…
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MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification Open
With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks (CNNs). However, due to the limited amount of labeled data available, supervised learnin…
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Econometric Convergence Test and Club Clustering Using Stata Open
In this article, I introduce a new package with five commands to perform econometric convergence analysis and club clustering as proposed by Phillips and Sul (2007, Econometrica 75: 1771–1855). The logtreg command performs the log t regres…
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Merging regional and global aerosol optical depth records from major available satellite products Open
Satellite instruments provide a vantage point for studying aerosol loading consistently over different regions of the world. However, the typical lifetime of a single satellite platform is on the order of 5–15 years; thus, for climate stud…
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scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets Open
Concerted examination of multiple collections of single-cell RNA sequencing (RNA-seq) data promises further biological insights that cannot be uncovered with individual datasets. Here we present scMerge, an algorithm that integrates multip…
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Deep Fusion Clustering Network Open
Deep clustering is a fundamental yet challenging task for data analysis. Recently we witness a strong tendency of combining autoencoder and graph neural networks to exploit structure information for clustering performance enhancement. Howe…
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Highly stretchable van der Waals thin films for adaptable and breathable electronic membranes Open
The conformal integration of electronic systems with irregular, soft objects is essential for many emerging technologies. We report the design of van der Waals thin films consisting of staggered two-dimensional nanosheets with bond-free va…
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Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development Open
To improve our understanding of the role of phytoplankton for marine ecosystems and global biogeochemical cycles, information on the global distribution of major phytoplankton groups is essential. Although algorithms have been developed to…
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Discovering and understanding oncogenic gene fusions through data intensive computational approaches Open
Although gene fusions have been recognized as important drivers of cancer for decades, our understanding of the prevalence and function of gene fusions has been revolutionized by the rise of next-generation sequencing, advances in bioinfor…
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Chirila: Contemporary and Historical Resources for the Indigenous Languages of Australia Open
Here I present the background to, and a description of, a newly developed database of historical and contemporary lexical data for Australian languages (Chirila), concentrating on the Pama-Nyungan family (the largest family in the country)…