Tagging System Research Articles

Patterns in Interactive Tagging Networks

How do users behave if they can tag each other in social networks?In this paper, we answer this question by studying the interactive tagging network constructed by Twitter lists. Twitter lists can be regarded as the tagging process; a user (i.e., tagger) creates a list with a name (i.e., tag) and adds other users (i.e., tagged users) into the list. This tagging network is by nature different from the resource tagging networks (e.g., Flickr and Delicious) because users on this network can tag each other. We address the following research questions: (RQ1) What is the common patterns and the difference between the interactive tagging network and the resource tagging networks? (RQ2) Do users tag each other on the interactive tagging network? And if so, to what extent? (RQ3) What is the difference between the two types of relationships on Twitter: who-tags-whom and who-follows-whom? By quantitatively studying million-scale networks, we found the pervasive patterns across the different tagging networks, and the interactive patterns within the interactive tagging network. This study sheds light on the underlying characteristics of the interactive tagging network, which is relevant to the social scientists and the system designers of the tagging systems.

Development of a Novel Epitope Mapping System: RIEDL Insertion for Epitope Mapping Method.

To clarify the binding region of monoclonal antibodies (mAbs) to target molecules, it is very essential to understand the pharmacological function of each mAb. Although deletion mutants and point mutants are usefully utilized for epitope mapping, we often experience the difficulty of determining the mAb epitope against membrane proteins. We aimed to develop a novel method to determine the binding region of mAbs using epitope tag system. We first checked the reactivity of an anti-CD44 mAb (C44Mab-5) to several deletion mutants of CD44. We then employed the RIEDL tag system ("RIEDL" peptide and LpMab-7 mAb). We inserted the "RIEDL" peptide into the CD44 protein from the 21st to 41st amino acid (AA). The transfectants produced were stained by LpMab-7 and C44Mab-5 in flow cytometry. C44Mab-5 did not react with 30th-361st AA of the deletion mutant of CD44. Furthermore, the reaction of C44Mab-5 to RIEDL tag-inserted CD44 from 25th to 36th AA was lost, although LpMab-7 detected most of the RIEDL tag-inserted CD44 from 21st to 41st AA. The epitope of C44Mab-5 for CD44 was determined to be the peptide from 25th to 36th AA of CD44 using RIEDL insertion for epitope mapping (REMAP) method. The REMAP method might be useful for determining the critical epitope of functional mAbs against many target molecules.

The Method and Practice of Container Electronic Tag Performance Test

With the rapid development of container transportation, container transportation has become the main mode of transportation that promotes social development and accelerates the process of globalization. The container RFID electronic tag is expected to improve the transportation efficiency of the container. This article describes the testing methods of container electronic tags. At the same time, through the actual application test of container RFID tags, it summarizes and proposes how to optimize the reading efficiency of container electronic tags, so as to achieve the best performance of container RFID tag system.

Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.

ObjectivesPredictive models for critical events in the intensive care unit (ICU) might help providers anticipate patient deterioration. At the heart of predictive model development lies the ability to accurately label significant events, thereby facilitating the use of machine learning and similar strategies. We conducted this study to establish the validity of an automated system for tagging respiratory and hemodynamic deterioration by comparing automatic tags to tagging by expert reviewers.MethodsThis retrospective cohort study included 72,650 unique patient stays collected from Electronic Medical Records of the University of Massachusetts’ eICU. An enriched subgroup of stays was manually tagged by expert reviewers. The tags generated by the reviewers were compared to those generated by an automated system.ResultsThe automated system was able to rapidly and efficiently tag the complete database utilizing available clinical data. The overall agreement rate between the automated system and the clinicians for respiratory and hemodynamic deterioration tags was 89.4% and 87.1%, respectively. The automatic system did not add substantial variability beyond that seen among the reviewers.ConclusionsWe demonstrated that a simple rule-based tagging system could provide a rapid and accurate tool for mass tagging of a compound database. These types of tagging systems may replace human reviewers and save considerable resources when trying to create a validated, labeled database used to train artificial intelligence algorithms. The ability to harness the power of artificial intelligence depends on efficient clinical validation of targeted conditions; hence, these systems and the methodology used to validate them are crucial.

GB Tags: Small Covalent Peptide Tags Based on Protein Fragment Reconstitution.

Developing peptide tags that can bind target proteins covalently under mild conditions is of great importance for a myriad of applications, ranging from chemical biology to biotechnology. Here we report the development of a small covalent peptide tag system, termed as GB tags, that can covalently label the target protein with high specificity and high yield under oxidizing conditions. The GB tags consist of a pair of short peptides, GN and GC (GN contains 45 residues and GC contains 19 residues). GN and GC, which are split from a parent protein GB1, can undergo protein fragment reconstitution to reconstitute the folded structure of the parent protein spontaneously. The engineered cysteines in GN and GC can readily form a disulfide bond oxidized by air oxygen after protein reconstitution. Using thermally stable variants of GB1, we identified two pairs of GB tags that display improved thermodynamic stability and binding affinity. They can serve as efficient covalent peptide tags for various applications, including specific labeling of mammalian cell surface receptors. We anticipate that these new GB tags will find applications in biochemical labeling as well as biomaterials, such as protein hydrogels.

A novel approach of privacy-preserving data sharing system through data-tagging with role-based access control

PurposeThis paper aims to design a secure and seamless system that ensures quick sharing of health-care data to improve the privacy of sensitive health-care data, the efficiency of health-care infrastructure, effective treatment given to patients and encourage the development of new health-care technologies by researchers. These objectives are achieved through the proposed system, a “privacy-aware data tagging system using role-based access control for health-care data.”Design/methodology/approachHealth-care data must be stored and shared in such a manner that the privacy of the patient is maintained. The method proposed, uses data tags to classify health-care data into various color codes which signify the sensitivity of data. It makes use of the ARX tool to anonymize raw health-care data and uses role-based access control as a means of ensuring only authenticated persons can access the data.FindingsThe system integrates the tagging and anonymizing of health-care data coupled with robust access control policies into one architecture. The paper discusses the proposed architecture, describes the algorithm used to tag health-care data, analyzes the metrics of the anonymized data against various attacks and devises a mathematical model for role-based access control.Originality/valueThe paper integrates three disparate topics – data tagging, anonymization and role-based access policies into one seamless architecture. Codifying health-care data into different tags based on International Classification of Diseases 10th Revision (ICD-10) codes and applying varying levels of anonymization for each data tag along with role-based access policies is unique to the system and also ensures the usability of data for research.

New Structure Mass Tag based on Zr-NMOF for Multiparameter and Sensitive Single-Cell Interrogating in Mass Cytometry.

Mass cytometry, also called cytometry by time-of-flight (CyTOF), is an emerging powerful proteomic analysis technique that utilizes metal chelated polymer (MCP) as mass tags for interrogating high-dimensional biomarkers simultaneously on millions of individual cells. However, under the typical polymer-based mass tag system, the sensitivity and multiplexing detection ability has been highly restricted. Herein, a new structure mass tag based on a nanometal organic framework (NMOF) is reported for multiparameter and sensitive single-cell biomarker interrogating in CyTOF. A uniform-sized Zr-NMOF (33 nm)carrying 105 metal ions is synthesized under modulator/reaction time coregulation, which is monodispersed and colloidally stable in water for over one-year storage. On functionalization with an antibody, the Zr mass tag exhibits specific molecular recognition properties and minimal cross-reaction toward nontargeted cells. In addition, the Zr-mass tag is compatible with MCP mass tags in a multiparameter assay for mouse spleen cells staining, which exploits four additional channels, m/z= 90, 91, 92, 94, for single-cell immunoassays in CyTOF. Compared to the MCP mass tag, the Zr-mass tag provides an additional fivefold signal amplification. This work provides the fundamental technical capability for exploiting NMOF-based mass tags for CyTOF application, which opens up possibility of high-dimensional single-cell immune profiling, low abundant antigen detection, and development of new barcoding systems.

Real-Time Monitoring Electronic Triage Tag System for Improving Survival Rate in Disaster-Induced Mass Casualty Incidents.

This study was conducted to contribute to active disaster response by developing internet of things (IoT)-based vital sign monitoring e-triage tag system to improve the survival rate at disaster mass casualty incidents fields. The model used in this study for developing the e-triage tag system is the rapid prototyping model (RAD). The process comprised six steps: analysis, design, development, evaluation, implementation, and simulation. As a result of detailed assessment of the system design and development by an expert group, areas with the highest score in the triage sensor evaluation were rated “very good”, with 5 points for continuous vital sign data delivery, portability, and robustness. In addition, ease of use, wearability, and electricity consumption were rated 4.8, 4.7, and 4.6 points, respectively. In the triage application evaluation, the speed and utility scored a perfect 5 points, and the reliability and expressiveness were rated 4.9 points and 4.8 points, respectively. This study will contribute significantly to increasing the survival rate via the development of a conceptual prehospital triage for field applications and e-triage tag system implementation.

Bioinspired Oil-Infused Slippery Surfaces with Water and Ion Barrier Properties.

Encapsulation materials play an important role in many applications including wearable electronics, medical devices, underwater robotics, marine skin tagging system, food packaging, and energy conversation and storage devices. To date, all the encapsulation materials, including polymer layers and inorganic materials, are solid materials. These solid materials suffer from limited barrier lifetimes due to pinholes, cracks, and nanopores or from complicated fabrication processes and limited stretchability for interfacing with complex 3D surfaces. This paper reports a solution to this material challenge by demonstrating bioinspired oil-infused slippery surfaces with excellent waterproof property for the first time. A water vapor transmission test shows that locking a thin layer of oil on the silicone elastomer improves the water vapor barrier performance by three orders of magnitude. Accelerated lifetime tests suggest robust water barrier characteristics that approach 226 days at 37 °C even under severe mechanical damage. A combination of temperature- and thickness-dependent experimental measurements and reaction-diffusion modeling reveals the key waterproof property. In addition to serving as a barrier to water, the oil-infused surface demonstrates an attractive ion barrier property. All these exceptional properties suggest the potential applications of slippery surfaces as encapsulation materials for medical devices, underwater electronics, and many others.

Heat treatment of thioredoxin fusions increases the purity of α-helical transmembrane protein constructs.

Membrane proteins play key roles in cellular signaling and transport, represent the majority of drug targets, and are implicated in many diseases. Their relevance renders them important subjects for structural, biophysical, and functional investigations. However, obtaining membrane proteins in high purities is often challenging with conventional purification steps alone. To address this issue, we present here an approach to increase the purity of α‐helical transmembrane proteins. Our approach exploits the Thioredoxin (Trx) tag system, which is able to confer some of its favorable properties, such as high solubility and thermostability, to its fusion partners. Using Trx fusions of transmembrane helical hairpin constructs derived from the human cystic fibrosis transmembrane conductance regulator (CFTR) and a bacterial ATP synthase, we establish conditions for the successful implementation of the selective heat treatment procedure to increase sample purity. We further examine systematically its efficacy with respect to different incubation times and temperatures using quantitative gel electrophoresis. We find that minute‐timescale heat treatment of Trx‐tagged fusion constructs with temperatures ranging from 50 to 90°C increases the purity of the membrane protein samples from ~60 to 98% even after affinity purification. We show that this single‐step approach is even applicable in cases where regular selective heat purification from crude extracts, as reported for Trx fusions to soluble proteins, fails. Overall, our approach is easy to integrate into existing purification strategies and provides a facile route for increasing the purity of membrane protein constructs after purification by standard chromatography approaches.

Abstract 20: HiBiT tagging system for high throughput chemical screening for chemotherapy

Abstract Chemical screening is an essential procedure for finding novel drugs of cancer treatments. Especially, cell-based screenings are mostly used for discovery of novel compounds or drug repositioning of already-used drugs. Cell viability or cell proliferation are usually used for evaluation of effects of candidate novel compounds for cancer treatments. However, high throughput system for rapid evaluation of endogenous target protein expression changes has not been established so far. Therefore, an easy and quick method for detection of endogenous target protein expression changes has been strongly needed for drug discovery. Herein, we established a novel chemical compound screening system using the HiBiT-tagging system for this aim using PD-L1 as an example. HiBiT tag is a small peptide tag composed of only 11 amino acids forming a dimer with LgBiT, and functions as a Nanoluciferase. The shortness of the peptide tag is useful for insertion of tag using genome editing technology. Thereby, we established a rapid chemical screening method using HiBiT-tagged cell lines created by CRISPR-Cas9 system. With this method, we made it possible to detect endogenous target protein expression changes within 10 minutes by just adding lytic buffer and LgBiT. For validation of this method, we performed chemical screening of PD-L1 using a HiBiT-tagged lung adenocarcinoma cell line with 1,280 compounds. As a result, we identified microtubule inhibitors as compounds upregulating PD-L1, and validated its upregulation of PD-L1 with qPCR and western blotting. In conclusion, we succeeded in establishing the method for chemical compounds detecting endogenous target protein expression changes with HiBiT-tagging system. Furthermore, we validated this method by performing chemical screening with PD-L1, and succeeded in identifying microtubules inhibitors as up-regulators of PD-L1. Citation Format: Yutaro Uchida, Takahide Matsushima, Ryota Kurimoto, Tomoki Chiba, Yuki Inutani, Hiroshi Asahara. HiBiT tagging system for high throughput chemical screening for chemotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 20.

Impact of Data Quality on Maintenance Work Order Analysis: A Case Study in Historical HVAC Maintenance Work Orders

Historical data from maintenance work orders (MWOs) is a powerful source of information to improve maintenance decisions and procedures. However, data quality often impacts an analyst’s ability to calculate important Key Performance Indicators (KPIs) and analyze trends within a facility. Data quality can refer to the amount of missing data, accuracy of data, or availability of appropriate data fields. The end goal of an analysis dictates the task’s particular data quality requirements. When data quality is low, analysis accuracy is reduced and further insight is required from maintenance personnel familiar with the particular facility to interpret findings. This paper presents a case study of using historical MWO data to identify which HVAC assets are the best candidates for further monitoring, illustrating the impact of missing values from key data fields. The case study demonstrates approaches to analyzing an imperfect dataset using a Natural Language Processing (NLP) annotation software’s tagging system (known as Nestor) to perform structured data extraction from the MWO free text fields. These findings can be used to guide future data analysis workflows when faced with imperfect maintenance data. We demonstrate how incomplete data collection impacts a facility’s ability to use historical MWO data.

Teknologi Informasi Berbasis XBRL Dan Potensi Peningkatan Kualitas Pengungkapan

Various countries globally have widely used eXtensible Business Reporting Language (XBRL) technology for the financial reporting of public companies. However, studies on the sophistication of XBRL technology and its potential for improving the quality of disclosure have not been widely reviewed. This paper examines this matter with the literature review method, and conclusions are prepared based on qualitative analysis. The XBRL-based reporting system has many advantages compared to the previous reporting system, including faster data transfer, efficiency, and others. In addition, the tag system in XBRL allows users to know more details about the information conveyed. The tag system allows users to search for relevant information and easily compare with different companies. Therefore, the management practice of disclosing financial statements and financial statements is presented explicitly to users of financial statements. Thus, the sophistication of a reporting system based on information technology XBRL can increase transparency and better disclosure.

Grammaticalization and language contact in a discourse-pragmatic change in progress: The spread ofinnitin London English

AbstractThis variationist analysis investigates the development and spread ofinnitas an invariant tag in London English. The sociolinguistic distribution ofinnitin a socially stratified corpus of vernacular speech suggests that the form's emergence and spread were initiated and propelled system-internally through changes associated with grammaticalization. Frequency triggered phonetic reduction ofisn't ittoinnit; loss of syntactic-semantic usage constraints and growing functional versatility enabledinnitto seize the range of contexts and functions of grammatically-dependent tags (e.g.didn't you,weren't we), virtually ousting these from the system of negative-polarity interrogative tags. Examination of cross-linguistic data and comparisons with relevant pre- and non-contact varieties indicate multiple language contact and grammatical replication may have played an ancillary role. I flag some challenges of establishing contact effects in discourse-pragmatic change, and propose that the promotion ofinnitfor invariant use was governed by its low salience and social indexicality of localness. (Innit, question tags, (Multicultural) London English, grammaticalization, language contact, grammatical replication)*

Automatic Integrated Scoring Model for English Composition Oriented to Part-Of-Speech Tagging

Part-of-speech tagging for English composition is the basis for automatic correction of English composition. The performance of the part-of-speech tagging system directly affects the performance of the marking and analysis of the correction system. Therefore, this paper proposes an automatic scoring model for English composition based on article part-of-speech tagging. First, use the convolutional neural network to extract the word information from the character level and use this part of the information in the coarse-grained learning layer. Secondly, the word-level vector is introduced, and the residual network is used to establish an information path to integrate the coarse-grained annotation and word vector information. Then, the model relies on the recurrent neural network to extract the overall information of the sequence data to obtain accurate annotation results. Then, the features of the text content are extracted, and the automatic scoring model of English composition is constructed by means of model fusion. Finally, this paper uses the English composition scoring competition data set on the international data mining competition platform Kaggle to verify the effect of the model.

Necessity of Applying Lifesaving Smart Technology for Vulnerable Class in Nursing Facilities: Focus on Introduction of RFID-based Positioning System and 3D Scanning Technology

This study was conducted to develop smart technology for early effective lifesaving in nursing facilities during fire outbreaks. A questionnaire was prepared for some expert groups, and the results confirmed that active information acquisition is necessary for initial lifesaving. In particular, initial information acquisition is vital. A 3D scanning and radio-frequency identification positioning system was used in this study. It was confirmed that the ultimate goal of technology development to improve field response capabilities is to minimize human damage, and the 3D scanning technology and location tag system technology applied in this study helped achieve the goal. In addition, 3D scanning and positioning system techniques are not limited to nursing facilities but may be extended and applied to targets with high fire risk, such as hospitals and children accommodation facilities with many prisoners.

Chemogenetic Tags with Probe Exchange for Live-Cell Fluorescence Microscopy.

Fluorogenic protein tagging systems have been less developed for prokaryotes than for eukaryotic cell systems. Here, we extend the concept of noncovalent fluorogenic protein tags in bacteria by introducing transcription factor-based tags, namely, LmrR and RamR, for probe binding and fluorescence readout under aerobic and anaerobic conditions. We developed two chemogenetic protein tags that impart fluorogenicity and a longer fluorescence lifetime to reversibly bound organic fluorophores, hence the name Chemogenetic Tags with Probe Exchange (CTPEs). We present an extensive characterization of 30 fluorophores reversibly interacting with the two different CTPEs and conclude that aromatic planar structures bind with high specificity to the hydrophobic pockets of these tags. The reversible binding of organic fluorophores to the CTPEs and the superior photophysical properties of organic fluorophores enable long-term fluorescence microscopy of living bacterial cells. Our protein tags provide a general tool for investigating (sub)cellular protein localization and dynamics, protein–protein interactions, and prolonged live-cell microscopy, even under oxygen-free conditions.

Fluorescent Convertible Capsule Coding Systems for Individual Cell Labeling and Tracking.

In modern biomedical science and developmental biology, there is significant interest in optical tagging to study individual cell behavior and migration in large cellular populations. However, there is currently no tagging system that can be used for labeling individual cells on demand in situ with subsequent discrimination in between and long-term tracking of individual cells. In this article, we demonstrate such a system based on photoconversion of the fluorescent dye rhodamine B co-confined with carbon nanodots in the volume of micron-sized polyelectrolyte capsules. We show that this new fluorescent convertible capsule coding system is robust and is actively uptaken by cell lines while demonstrating low toxicity. Using a variety of cellular lines, we demonstrate how this tagging system can be used for code-like marking and long-term tracking of multiple individual cells in large cellular populations.

A Bending Passive RFID Tag as a Sensor for High-Temperature Exposure

This paper introduces a prototype of a low-energy high-temperature exposure sensor, which is a temperature-sensitive passive UHF RFID tag that bends forward when exposed to warm air. This “Bending Tag” design is based on a simple dipole antenna fabricated from an electro-textile material. The antenna has a 3D-printed substrate, which is constructed from a commercial Thermo Reactive Filament that gets soft when exposed to 50°C for 30 seconds, causing the tag to bend forward and curve. The sensor tag initially has a read range of more than 6 meters throughout the global UHF RFID frequency band. After bending, there is a significant decrease in the read range (to around 2–3 meters), which is caused by the changed backscattered power of the sensor tag. In an office environment, the backscattered power changes from −36 dBm to −43 dBm. The change in a sensor tag-reference tag system as dP% is approximately 70%. Based on these initial results, our bending tag can be further developed to work as a cost-effective low-energy sensor for monitoring high-temperature exposure.

The Goodreads “Classics”: A Computational Study of Readers, Amazon, and Crowdsourced Amateur Criticism

This essay examines how Goodreads users define, discuss, and debate “classic” literature by computa-tionally analyzing and close reading more than 120,000 user reviews. We begin by exploring how crowdsourced tagging systems like those found on Goodreads have influenced the evolution of genre among readers and amateur critics, and we highlight the contemporary value of the “classics” in particu-lar. We identify the most commonly tagged “classic” literary works and find that Goodreads users have curated a vision of literature that is less diverse, in terms of the race and ethnicity of authors, than many U.S. high school and college syllabi. Drawing on computational methods such as topic modeling, we point to some of the forces that influence readers’ perceptions, such as schooling and what we call the classic industry — industries that benefit from the reinforcement of works as classics in other mediums and domains like film, television, publishing, and e-commerce (e.g., Goodreads and Amazon). We also high-light themes that users commonly discuss in their reviews (e.g., boring characters) and writing styles that often stand out in them (e.g., conversational and slangy language). Throughout the essay, we make the case that computational methods and internet data, when combined, can help literary critics capture the creative explosion of reader responses and critique algorithmic culture’s effects on literary history.