Code Label Research Articles

Unsupervised Multiview Distributed Hashing for Large-Scale Retrieval

Multi-view hashing (MvH) learns compact hash code by efficiently integrating multi-view data, and has achieved promising performance in large-scale retrieval task. In real-world applications, multi-view data is often stored or collected in different locations, and learning hash code in such case is more challenging yet less studied. In addition, unsupervised MvHs hardly achieve impressive retrieval performance due to absence of supervision. To fulfill this gap, this paper introduces a novel unsupervised multi-view distributed hashing (UMvDisH) to learn hash code from multi-view data, which is distributed in different nodes of a network. UMvDisH jointly performs latent factor model and spectral clustering to generate latent hash code and pseudo label respectively in each node. The consistency between hash code and pseudo label improves discrimination of hash code. The proposed distributed learning problem is divided into a set of decentralized subproblems by imposing local consistency among neighbor nodes. As such, the subproblems can be solved in parallel, and training time can be reduced. The communication cost is low due to no exchange of training data. Experimental results on four benchmark image datasets including a very large-scale image dataset show that UMvDisH achieves comparable retrieval performance and trains faster than state-of-the-art unsupervised MvHs in the distributed setting.

Development of a qualitative data analysis codebook informed by the i-PARIHS framework

BackgroundThe Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS) framework and its predecessor, PARIHS, have been widely utilized in implementation studies. Although i-PARIHS developers have focused on creating tools to guide facilitators in its application in practice, tools are also needed for evaluation and research. Codebooks with clear and meaningful code labels and definitions are an important component of qualitative data analysis and have been developed for other widely used frameworks. There is no such codebook for i-PARIHS. Additionally, sub-constructs for the Innovation, Recipients, and Context constructs lack definitions, and there is no sub-classification of facilitation activities for the Facilitation construct. The lack of a standardized codebook hinders our ability to synthesize research findings across studies, explore and test the range of activities that are utilized in facilitation efforts, and potentially validate and further refine i-PARIHS. This paper describes a rigorous process of developing a detailed qualitative codebook informed by the i-PARIHS framework.MethodsA workgroup of qualitative researchers conducted a rigorous four-phase process to develop a codebook informed by i-PARIHS. In phase 1, workgroup members reviewed and discussed literature, consulted an organizational scientist, and drafted and refined subcodes and definitions for i-PARIHS constructs. In phase 2, they obtained feedback from an expert panel and further refined subcodes and definitions. In phase 3, they obtained feedback from i-PARIHS developers/experts and incorporated it into the codebook. Finally, two studies piloted the application of the codebook which informed the final version.ResultsThe resulting i-PARIHS-informed codebook includes definitions for the four main constructs of the framework: Innovation, Recipients, Context, and Facilitation; subcodes and definitions for characteristics of each of these constructs; and instructions for the suggested application of individual codes and use of the codebook generally.ConclusionsThe standardized codes and definitions in the codebook can facilitate data exploration, pattern identification, and insight development informed by the i-PARIHS framework. Qualitative analysts can also use them to explore interactions between i-PARIHS constructs, maximize the potential for comparing findings across studies, and support the refinement of the i-PARIHS framework using empirical findings from multiple studies.

A taxonomy for community pharmacy patient care services reported in Pharmacist eCare Plans

BackgroundPharmacies belonging to the Community Pharmacy Enhanced Service Networks (CPESN) are transforming their practices with support of the Flip the Pharmacy initiative. These pharmacies are submitting eCare plans that describe care that they have provided to patients. ObjectivesThe objectives of this study were (1) To develop a taxonomy for services reported by community pharmacies participating in year 1 of the Flip the Pharmacy initiative and (2) to illustrate the use of the taxonomy for hypertension-related services. MethodsA retrospective observational study design was used. The analyzed data were extracted from eCare plans submitted by participating pharmacies during the first year of the Flip the Pharmacy initiative (October 1, 2019-September 30, 2020). Systematized Nomenclature of Medicine – Clinical Terms (SNOMED-CT) codes submitted for encounter reason and for procedures were sorted into categories based on similarity of terminology in the SNOMED-CT code labels. All SNOMED-CT codes in the encounter reasons that had blood pressure or hypertension in their labels were mapped to taxonomy categories. Descriptive statistics were calculated for all variables. ResultsA total of 368,297 eCare plans reporting 1,049,061 SNOMED-CT procedures were submitted for 133,210 patients by 526 pharmacies. Seven categories of community pharmacy patient care services were identified: medication synchronization, medication review, monitoring, immunizations, patient education, adherence, and recommendations. Over half of the encounter reasons (63.5%) and procedures (56.2%) were for medication synchronization. Both medication review and monitoring accounted for about 10% of the encounters, and medication review made up over 30% of procedures. A total of 18,307 encounters were related to hypertension. Of these, monitoring was the most frequent, with 11,285 encounters (61.6%) encounters, followed by patient education, with 5173 encounters (28.3%). ConclusionCPESN pharmacies are delivering a wide range of patient care services. This taxonomy provides a concise way to organize and report services being delivered by community pharmacies.

Automation identifier approach for library management information system

Rapid technological developments provide benefits for library management. One of them is the application of automatic identifiers in library management, through RFID and QR Code implementation. Some problems that are faced by libraries at the moment, include the lack of guarantees for the safety management of books in the library, lack of services human resources library management, and book availability information has not been accurate. This research conducts the development of a library management information system to solve the problems by using automatic identifiers utilizing Near Field Communication and QR Code technology. The implementation scenario is each library member has the NFC Card and their personal information stored in the NFC card, also each book in the library is put with a QR Code label containing book code information. Transaction of book loan and book return are done by initially tapping NFC Card to record visitor returned or borrow the book and then continue to scanning QR Code label of each book borrowed or returned. In the final stage, the application tested by tapping the NFC card (RFID) on the reader/writer device, and it found the NFC Card could be read or record data from the device at a maximum of 7 cm, while testing phase conducted QR Code label could be read at a maximum distance of 40 centimeters from the device. Implementing automatic identifier help to manage transaction in library more accurate, improve services and provide added value for the library.

The blame game- experiences of female residents in obstetrics & gynecology regarding lapses in patient safety.

Objectives:Primary objective was to explore experiences of female residents of Obstetrics and Gynecology (OB/GYN) regarding lapses in patient safety (PS) while secondary objective was to explore factors hampering or favouring improvement of PS in OB/GYN.Methods:In this qualitative narrative study carried out in OB/GYN department of Combined Military Hospital (CMH) Lahore for six months from 1st April to 30th September 2021, six fourth-year residents were asked to write narratives of their personal experiences of medical error (witnessed or committed) in detail and reflect on those experiences, which were then transcribed. Code labels and themes were assigned manually. Interpretation of these themes was done after thematic content analysis.Results:Six, fourth-year female residents with a mean age of 28.6±1.8 participated in the study. Two main themes with sub-themes were identified: 1) Challenges in patient safety (Personal challenges, Workplace challenges, Barriers to PS), 2) Lessons learnt from experiences (Self-improvement and; Promotion of patient safety culture). Heavy workload with long working hours, lack of communication and teamwork, lack of experience and inadequate supervision were major factors involved in PS lapses experienced by residents.Conclusion:Incidents of Patient Safety (PS) lapses had a strong impact on the emotional and professional life of residents. Formal PS training with improvement of working conditions may help promote PS culture.

Facilitating digital empowerment for Intelligent cares in mountain region

In the time of aging, creating high-quality elderly care is key to improving social well-being in China. Strengthening digital empowerment and thus improving digital management, technologies and products such as the Internet technology, cloud computing, big data, and intelligent hardware becomes the main force of technological innovation. This paper demonstrates that digital empowerment have enabled the mountainous counties to achieve three major outcomes including "digital management" and thus to optimize self-service and solve the pain points and difficulties of medical treatment, "smart nursing" and thus to optimize personalized services and life cycle services, "data running" and thus to optimize platform services and the public's happiness etc. It illustrates also related five issues includes the widespread unsatisfactory to digital management, resource allocation does not match the ability and living habits of the elderly; financial support fails to meet rigid needs of healthy living and timely care; home stay service lacks health knowledge, nursing skills, psychological counseling, and medical service, insufficient information preservation for data operation. Integrating action research results and survey of digital application scenarios, this research concludes five suggestions for coming high-quality development of elderly care in mountainous counties. 1. Better four major system software include the old-age service information management system, the old-age service basic database, the public old-age service system and other support systems，therefore to improve the management capabilities of the old-age service. 2. Optimize six intelligent systems include intelligent health monitoring, active care, information warning, electronic fence, fall alarm, and remote viewing, therefore adapt to individual abilities and living habits. 3. Upgrading seven auxiliary equipment include bed-off sensor, multi-functional vital sign nursing mattress, automatic roll-over bed, health monitoring equipment, wetness sensor, smart toilet, and QR code label, therefore close to the needs of healthy life and nursing. 4. Follow up three major service trainings include work values and management theories, job development and application evaluation, digital empowerment and overall development, therefore to ensure professional support for industry development. 5. Grasp the subject and structure, mining and collection, key points and pain points, image and intuition, objectivity and fairness, standardization and unity in information analysis, therefore do a good job in the work ledger of daily reports.

Boron doped fluorescent carbon nano dots for the reduction of ionic dyes and as encryption/decryption QR security code labels

This work discusses the synthesis of fluorescent undoped and boron-doped carbon nanodots (BDCNDs) by a simple hydrothermal approach usingTribulus terrestrisas the carbon precursor and boric acid as the boron source.

Printed Four Key‐Device Units for Unified Platform of Wireless Anti‐Counterfeiting Label to Bridge in Blockchain

AbstractAs new authentic products are introduced into the market, counterfeiting has always been on the rise. In 2015, the global economic loss caused by counterfeiting is more than 1.7 trillion US dollars and has been increasing annually. Therefore, an inexpensive but efficient anti‐counterfeiting platform must be developed to end counterfeiting. Here, a wireless platform for the anti‐counterfeiting with an item‐tracking is developed by integrating printed four key‐device units, a 13.56 MHz rectenna (wireless power transmission), supercapacitors (power storage), 1‐bit code generator chip (logic code), and an electrophoretic based quick response code (memory). Our near‐field communication quick response code label platform is inexpensive and effective by utilizing blockchains and high throughput roll‐to‐roll printed devices. When practically applied, the near field communication quick response code label wirelessly operates through a near field communication carrier signal from a smartphone to demonstrate anti‐cloning and authentic item‐tracking through its interconnection with the blockchain.

QR Code Labels and Audio Commentaries for Commonly Used Chemistry Laboratory Apparatus: An Assisted Learning Experience for Visually Impaired Students

An instructional technology application of QR (quick response) codes for introducing commonly used chemistry laboratory apparatus for visually impaired students is presented. Audio commentaries describing commonly used apparatus were recorded. The commentaries consisted of concise introductions and applications of various apparatus used in high school and undergraduate chemistry laboratories. The QR code for each apparatus was produced and linked to the corresponding audio commentary via a unique URL. The QR code labels were attached to the apparatus. The QR codes were scanned on a mobile device and an audio commentary was played. Sixteen visually impaired students participated in testing the activity. The results of the testing activity underscored the efficacy of the technology offering an assisted physical learning experience. Technology presented in this article does not give visually impaired students an independent learning experience, rather it gives them an assisted learning experience which enhances their sense of inclusion in a laboratory environment.

PERCEPTIONS OF CONTINUING MEDICAL EDUCATION PARTICIPANTS REGARDING IMPROVEMENT OF PATIENT CARE THROUGH CONTINUING MEDICAL EDUCATION ACTIVITIES IN LAHORE DISTRICT

Objective: To explore the perceptions of Continuing Medical Education participants about the improvement of patient care through Continuing Medical Education activities and to explore the factors hampering or favouring improvement of patient care through Continuing Medical Education activities.
 Study Design: Qualitative phenomenological study.
 Place and Duration of Study: University of Health Sciences, Lahore, from Dec 2016 to May 2017.
 Methodology: In qualitative phenomenological study conducted at University of Health Sciences, Lahore from Dec 2016 to May 2017, semi structured in-depth interviews were conducted individually from 10 General Practitioners which were audiorecorded and transcribed. Code labels were assigned manually and grouped together into broader themes. Interpretation ofthemes was done after thematic analysis.
 Results: Two participants were female and ten were male with experience ranging between 20-38 years. Three main themes with sub-themes were identified: (1) positive talk (Affirming the link between Continuing Medical Education and improved patient care), (2) negative talk (perceived hindrances in gaining full benefit from Continuing Medical Education activities), (3) concerns regarding current Continuing Medical Education activities.
 Conclusion: Participants were found inclined towards Continuing Medical Education activities and felt more confident and comfortable in managing their patients. However, they felt that physicians working in rural areas were dealing directly with all sorts of patients and were more in need of targeted and tailored Continuing Medical Education activities.

Noise-Immune Labels of Residual Codes for Improving Solution Efficiency to Packet Overflow in an Optical Label-Switched Buffer

In this paper, an optical buffering solution based on label switching is proposed, where packets are buffered by identifying and renewing the light labels of pseudo-orthogonal codes. The buffer overflow occurs when label switching fails to perform on the queued packets due to the insufficient labels. Assigning an increased code number to the buffer could reduce the overflow effect, but the decoder noise mitigates its efficiency. Therefore, we study a noise-immune labeling method of residual function by advancing the correlation properties of the existing codes. The proposed label-switching scheme improves the solution efficiency to buffer overflow as a lower code-error probability can be reached. Moreover, multiple label codes can be simultaneously generated from a shared light source to achieve a power-efficient buffer structure.

Visual communication analysis the effect of signs and colors on traffic safety in Jakarta

About 90% of the information needed for driving is received visually by the driver. Only a little information is received with hearing (horns and shock markers) and a sense of touch (tactile markers and rough roads). Most of the information they get is visual. The two most common equipment used by technicians to give information is signs and markers consisting of signs, colors, and words. Traffic signs are elements defined as a special set of code labels intended for traffic users, which are in a vertical field for traffic areas. It is a basic means of communication between authorities and road users. Standards and guidelines suggest the use of words and color codes that are appropriate for conveying the different intensity of hazards. Red, yellow, and blue indicates a decrease in the intensity of the danger. Likewise, danger, warning, and attention show the danger in decreasing intensity even though some studies find no significant differences in the hazard assessment of warning and attention words. Signs and color codes used in our study are capable of giving meaningful meaning, warning, attention, thinking, and notification. For colors, it will be red, yellow, green, white, blue, green, and orange. We will evaluate perceptions of implied danger and language effects.

Asset Management Information and Tracking System With QR Code Based on the Human Centred Design Method

At the moment almost surely in all establishments or companies having an inventory system, especially about the processing assets, to get information about the asset takes time and cannot be instantly able to display the data. Based on the above problem, the author doing research is to obtain information about the asset information easily, quickly. The method used is to add a QR Code on a label pasted on each asset. Data from the QR code scanned through Android smartphone in the get information directly. In the research tried to research by optimizing the existing inventory system in the modification by adding a web address in the QR Code labels. Using the scan QR has become the default standard Android smartphone in every new. The author sure this article could be useful for anyone who uses the Inventory can be optimal. The results of this application are anyone able to get the status of existing asset information about QR Code, once done testing and implementation results are 99.9% valid.

Design of Waste Management System Using QR Code for Effective Management in Wastebank

Waste management is one of the problems faced in almost every city in Indonesia. One way to manage waste is through the waste bank. The business process of a waste bank is similar to a bank, but it is processed in the form of inorganic waste that has been sorted. In general, data management in waste banks is still conventional but the others have used of web-based or mobile technology. But in this way there are still some weaknesses such as the the time needed to input the collected waste data because the data cannot be directly entered into the system. In addition it can occur inaccurately entered data. The proposed method is using the QR code for the waste management system. In this method, admin only need to scan the QR code label attached on the waste bin stored above the weighing device using a smartphone camera. With this system QR scanner application based on mobile can be synchronized automatically with anroid smartphone. Admin then input the weight of the waste that is weighed and will be stored in the database. In this way the data input process can be faster and with the use of QR code, more data can be stored.

NeuroTIS: Enhancing the prediction of translation initiation sites in mRNA sequences via a hybrid dependency network and deep learning framework

Translation initiation site prediction is crucial to understand the mechanisms of gene expression and regulation. Many computational approaches have been proposed and achieved acceptable prediction accuracy. Although recent Convolutional Neural Network-based method effectively learn consensus motifs and shows remarkable prediction performance, this method could not fully exploit coding features which have been proved significant to the identification of translation initiation sites. Indeed, coding features often exhibit higher-order distant interactions among nucleotides and learning this kind of feature from uncharacteristic mRNA sequences without any explicit biological knowledge is difficult. This situation gets worse when given no coding labels. In viewing of these shortcomings, we propose a novel method for translation initiation sites prediction in mRNA sequences based on a hybrid dependency network and deep learning framework (NeuroTIS) which explicitly model label dependencies among coding region, between coding region and translation initiation site. Meanwhile, a Bidirectional Recurrent Neural Network and a Convolutional Neural Network are employed for effective learning and inference. The experimental results show that the proposed framework yields an excellent prediction performance on two benchmark gene datasets, which significantly outperforms existing state-of-the-art methods.

Railway Safety Protection with Android Mobile Application for 5G New Radio Network

In every night of non-traffic hours, different jobs are conducting maintenance works in “Railway” trackside area. This project will explain a specific section of track under the sole control an Engineer’s Person-in-Charge as procedures. And how to provide protection methods by which a person or persons on or near a track are safeguarded from potential train movements or a train is safeguarded from other train movements or obstructions, or persons or equipment are safeguarded from traction power.Consolidated past several investigation reports and according to related is rules, workflow or procedures etc. to summarize. There are protection tools left on trackside area incident caused by the workers are forgetting and poor management. Proposed are different project themes in the light of their expertise, experience and observation in their daily works. The proposed themes are compared, assessed and prioritized under the criteria - “Manageable”, “Measurable”, “Result of Benefit”, “Standardization” and “Priority” in the Decision Matrix. Establish some solve problem methods for comparing to find out which that lower-cost plan accordingly. I came up with a conclusion and the ideas as develop a mobile application and create a unique QR code label with equipment naming to facilitate each worker management of protection tools. This is also fulfilled in popular terms of Creativity and Innovations. Used the MIT App Inventor (Massachusetts Institute of technology) an intuitive and visual programming preform for mobile application are development. Stage 1: program for individual mobile user application. Stage 2: build-up Network centralized storage with supervising console operation. Stage 3: testing system under with 5G network compatibility, bandwidth and network speed is applicable people will be able to use more of the network dedicated to each mobile phone.Finally, successful to apply trial works a fruitful outcome after implementation of the project solution. There was no missing of protection tools on trackside area within the trial period. With the safety-first culture boosted by us, I believe we can achieve a common goal: Everyone Going Home Safe and Well Every day.

Ethnicity-Specific Database Improves the Diagnostic Ability of Peripapillary Retinal Nerve Fiber Layer Thickness to Detect Glaucoma

To determine the changes in optical coherence tomography (OCT) color probability codes and diagnostic ability for peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell complex (GCC) analysis after applying Chinese and white subjects normative databases. Cross-sectional study. This study enrolled 219 healthy eyes (108 white and 111 Chinese patients) to construct an ethnicity-specific normative database for pRNFL and macular GCC thickness, which was tested then in 180 eyes with or without glaucoma (102 white and 78 Chinese patients). The percent of change of color probability codes were evaluated after applying the original built-in and the ethnicity-specific normative databases, respectively. Sensitivity and specificity were calculated to evaluate the change in diagnostic ability to detect glaucoma. Healthy white subjects had a thinner pRNFL than Chinese subjects in the overall average thickness as well as the superior, inferior, and temporal quadrants (P < .001). Macular GCC did not differ between ethnicities. After applying an ethnicity-specific normative database, the percent of pRNFL abnormal color code labels decreased significantly for the overall average thickness in the white subjects. This resulted in a significant increase in the specificity to detect glaucoma in the white population (P < .001). No significant changes were seen when applying an ethnicity-specific normative database for macular GCC thickness. After applying an ethnicity-specific normative database, the percent of pRNFL abnormal color codes decreased significantly, improving the specificity to detect glaucoma in the white population. These findings suggest there may be utility in having ethnicity-specific normative databases for pRNFL thickness.

Mass spectrometric sample identification with indicator compounds introduced via labeled sample tubes.

The risk of sample confusion continues to be a challenge for the pre-analytical part of the overall testing process. We here describe a novel system to track samples based on a chemical code labeling of test tubes with unique combinations of indicator compounds, which are naturally not present in specimens of human origin. As part of the sample vessel filling, the liquid specimens are permanently labeled with the compound code that can be tracked back to the primary tube. As a proof of concept we used 10 stable-isotope-labeled derivates of medical drugs as indicator substances to create a combinatory 10-digit binary number ID for individual test tubes, i.e. presence/absence of the respective compound. For this purpose, combinations of indicator compounds were provided in evaporated form in polypropylene tubes prior to filling with anonymized patient whole blood and corresponding plasmas subjected to liquid chromatography tandem-mass spectrometry designed to detect the 10 indicator compounds. In the blind analysis, we correctly identified 307 different whole blood samples by readout of a 10-digit binary number ID based on the detection of indicator compounds with respect to their presence and number. We have demonstrated the feasibility of an internal labeling procedure for diagnostic samples with mass spectrometry-based readout of dissolved indicator compound combinations as a binary number ID. With an increasing number of coding compounds (≫10) a vast number of combinations for sample labeling can be realized beyond the proof of concept setting studied herein.

HEnRY: a DZIF LIMS tool for the collection and documentation of biomaterials in multicentre studies

BackgroundWell-characterized biomaterials of high quality have great potential for acceleration and quality improvement in translational biomedical research. To improve accessibility of local sample collections, efforts have been made to create central biomaterial banks and catalogues. Available technical solutions for creating professional local sample catalogues and connecting them to central systems are cost intensive and/or technically complex to implement. Therefore, the Translational Thematic Unit HIV of the German Center for Infection Research (DZIF) developed a Laboratory Information and Management System (LIMS) called HIV Engaged Research Technology (HEnRY) for implementation into the Translational Platform HIV (TP-HIV) at the DZIF and other research networks.ResultsHEnRY is developed at the University Hospital of Cologne. It is an advanced LIMS to manage processing and storage of samples and aliquots of different sample types. Features include:monitoring of stored samples and associated informationdata selection via query tools or Structured Query Language (SQL)preparation of summary documents, including scannable search listscentralized management of the practical laboratory part of multicentre studies (e.g. import of drawing schemes and sample processing steps),preparation of aliquot shipments, including associated documents to be added to shipmentsunique and secure identification of aliquots through use of customizable Quick Response (QR) code labels directly from HEnRYsupport of aliquot data transmission to central registries.In summary, HEnRY offers all features necessary for a LIMS software. In addition, the structure of HEnRY provides sufficient flexibility to allow the implementation in other research areas.ConclusionHEnRY is a free biobanking tool published under the MIT license. While it was developed to support HIV research in Germany, the feature set and language options, allow much broader applications and make this a powerful free research tool.

BaRcodeR: An open‐source R package for sample labelling

Abstract Repeatable experiments with accurate data collection and reproducible analyses are fundamental to the scientific method but may be difficult to achieve in practice. Open‐source tools aid the reproducibility of data analysis, but analogous tools are generally lacking for sample collection and other early stages of scientific inquiry. We introduce the R package baRcodeR for generating informative identifier (ID) codes with digitally encoded linear or 2D barcodes. Codes can be imported from an existing dataset (e.g. CSV file) or generated rapidly in baRcodeR, producing scannable barcodes with customizable page layouts for printing and scanning with consumer‐grade printers and scanners. User‐defined ID codes may contain a simple sequence (e.g. SAMPLE‐0427) or encode more meaningful sample information such as individual subjects, treatment groups, sample populations, time points, spatial coordinates, subsamples or other associations (e.g. Pop22‐Ind08‐Time40). In addition to command‐line functions, a graphical‐user‐interface (GUI) is available from the ‘Addins’ menu of R Studio or online at https://bit.ly/baRcodeR to assist with ID code and barcode label creation. baRcodeR can help biologists apply principles of open and reproducible science to collect and manage biological samples.