142 research outputs found
Decentralized Approximate Bayesian Inference for Distributed Sensor Network
No full textBayesian models provide a framework for probabilistic modelling of complex datasets. Many such models are computationally demanding, especially in the presence of large datasets. In sensor network applications, statistical (Bayesian) parameter estimation usually relies on decentralized algorithms, in which both data and computation are distributed across the nodes of the network. In this paper we propose a framework for decentralized Bayesian learning using Bregman Alternating Direction Method of Multipliers (B-ADMM).We demonstrate the utility of our framework, with Mean Field Variational Bayes (MFVB) as the primitive for distributed affine structure from motion (SfM).Peer reviewe
The OpenCitations Data Model
Full text linkA variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with different nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data supplier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. We also evaluate the effective reusability of OCDM according to ontology evaluation practices, mention existing users of OCDM, and discuss the use and impact of OCDM in the wider open science community
On the system-level performance evaluation of bluetooth 5 in IoT: Open office case study
No full textThe Internet of Things (IoT) has recently revolutionized the concept of connectivity from humans to surrounding objects through the Internet infrastructure. To Enable the wide range of IoT use cases, several communication technologies are introduced. Among the others, short range radio technology is an essential part of IoT for enabling the local area networks. Bluetooth Low Energy (BLE) version 5 is recently developed by Bluetooth Special Interest Group (SIG) which claims to be better suit for IoT use cases. However, the complexity of BLE 5 protocol and the lack of system-level simulator hinder the detailed analytical study of this new technology. To this end, we develop comprehensive system-level tool for simulating BLE 5. Some of the most important features of BLE 5 are developed and results are investigated in this paper. We investigate the BLE 5 with new physical (PHY) layer from networking perspective by analyzing end-to-end delay, battery life time, packet error rate and throughput in open office environment. To this end, we investigate the scalability of the network for different PHYs. The results show that, in this case study, the coded PHYs have weaker performance when network becomes congested.Peer reviewe
Estimating the branching fraction for decay
Full text linkI present estimates of the branching fractions in the non-leptonic charmonium
two-body decay rates for decay and the same
decays of , and
. These estimates are based on a generalized
factorization approach making use of leading order (LO) and next-to-leading
order (NLO) contributions. I find that when the large enhancements from the
known NLO contributions by using the QCD factorization approach are taken into
account, the branching ratios are the following: , , and , while the experimental results are
, , and respectively. All
estimates are in good agreement with the experimental results.Comment: Repeated topi
Development and applications of programmable DNA-guided Argonaute-based artificial restriction enzymes
Full text linkRestriction enzymes or formally known as restriction endonucleases are a class of nuclease enzymes which recognize short DNA sequences and cleave DNA molecules at or near their recognition site. Type II restriction enzymes are capable of cleavage of DNA at a fixed location with respect to their recognition sequence and some type II restriction enzymes are able to generate defined cohesive ends (a.k.a sticky ends) on DNA molecules after cleavage. Because of these two remarkable features, upon their discovery, type II restriction enzymes revolutionized molecular biology and helped give rise to the field of modern biotechnology. To date, type II restriction enzymes still play a major role in biological research with more than 600 enzymes with >235 distinct sequence specificities commercially available. While type II restriction enzymes are able to cleave DNA molecules specifically, they only recognize short DNA sequences (4-8 base pairs) which limits some of their applications. To address this challenge, artificial restriction enzymes (AREs) such as ZFNs, TALENs, or CRISPR-Cas nucleases were developed. While these AREs have longer recognition sequences compared to type II restriction enzymes, they are not able to produce defined sticky ends on DNA molecules or target all desired DNA sequences which significantly constrains their applications in vitro. In this dissertation, I describe the development and applications of a new class of artificial restriction enzymes capable of targeting virtually any DNA sequences with high specificities and generating defined sticky ends of varying length.
Argonaute proteins are a family of nucleic acid guide-dependent proteins which can be found in all domains of life. Some prokaryotic Argonaute proteins (pAgos) are able to use short single-stranded DNA molecules as guides to target complementary DNA sequences. I first utilized this capability of pAgos and developed a Pyrococcus furiosus Argonaute (PfAgo) based platform for generation of programmable DNA-guided artificial restriction enzymes. This platform was used to generate 18 AREs for DNA fingerprinting and molecular cloning of PCR-amplified or genomic DNAs. Next, I studied the potential of other pAgos for use as AREs. Through these studies, I was able to create an engineered version of PfAgo enzyme which demonstrates lower non-guided nuclease activity as well as higher specificity for cleavage of high GC-content DNA sequences compared to the wild-type PfAgo enzyme.
To demonstrate some of the applications of the newly developed AREs, I first created a method for rapid and highly accurate assembly of linear DNA molecules by PfAgo-based AREs. Using this method, plasmid DNA molecules up to 27 kb in size can be assembled from up to 10 DNA fragments with high efficiencies. This method also exhibits extremely low error rates and is able to assemble DNA molecules containing sequence repeats as well as DNA molecules with high GC-content. Next, I evaluated the capability and limitations of PfAgo-based AREs in direct cloning of microbial biosynthetic gene clusters (BGCs). Using PfAgo-based AREs, I was able to clone microbial BGCs ranging from 13-42 kb in size from both Bacillus and Streptomyces species with high efficiencies. However, PfAgo-based AREs did not exhibit 100% success rate for this application. As a result, I developed an alternative method for cloning microbial BGCs named Cas12a assisted precise targeted cloning using in vivo Cre-lox recombination (CAPTURE). This method which consists of Cas12a digestion, a newly developed DNA assembly approach termed T4 polymerase exo + fill-in DNA assembly, and Cre-lox in vivo DNA circularization, is capable of cloning microbial natural product BGCs ranging from 10-113 kb in size regardless of their GC-content or repetitive DNA sequence with ~100% cloning efficiency and success rate.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01The student, Behnam Enghiad, accepted the attached license on 2020-11-27 at 15:43.The student, Behnam Enghiad, submitted this Dissertation for approval on 2020-11-27 at 16:00.This Dissertation was approved for publication on 2020-12-03 at 07:52.DSpace SAF Submission Ingestion Package generated from Vireo submission #15970 on 2022-01-12 at 13:02:47Made available in DSpace on 2022-01-12T22:51:32Z (GMT). No. of bitstreams: 2
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Corrigendum:Social smart city research: interconnections between participatory governance, data privacy, artificial intelligence and ethical sustainable development
No full textIn the published article, the second author's name was incorrectly written as “Behnaz Bababei Morad.” The correct spelling is “Behnaz Babaeimorad.” In the published article, there was an error in affiliation 3. This was incorrectly written as “Department of Urban Planning, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.” It should be “Department of Urban Planning, Ahv.C., Islamic Azad University, Ahvaz, Iran.” In the published article, there was an error regarding the affiliations for the third author, Behnam Ghasemzadeh. As well as having affiliations 2, 4, and 5, they should also have “1Azarbaijan Shahid Madani University, Tabriz, Iran.” The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.</p
A Semi-Automatic Approach for Detecting Dataset References in Social Science Texts
No full textIn this work, we have presented an approach for detecting references to datasets in social sciences articles. The approach works in real time and does not require any training dataset. There are just some manual tasks such as initially cleaning the dictionary of abbreviations, or making final decisions among multiple candidates suggested for the datasets cited by the given article
ATHENA - An Interactive Shop System
No full textWe are in an age of unprecedented growth of communication and computing technologies with a wide variety of interactive systems. Mostly retails chains and stores employ such systems for online shopping and increasing their user base. However, there exists also a need or scope for providing entertainment in a shopping atmosphere with the twofold objective of advertising and enhancing brand value. This paper describes our efforts, approach and techniques used to design , realize and test a system (named Athena) which can address such a need.Authors are sorted based on alphabetical order
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