Manual Query Research Articles

Алгоритмы поиска фразеологизмов в лингвистическом корпусе с морфологической разметкой (индоевропейские языки)

The aim of the applied research is to build algorithms for searching phraseological units that are compatible with our previously developed model of a linguistic corpus with morphological markup according to spaCy rules. The scientific novelty is due to the fact that for the first time, within the framework of the corpus approach, a set of universal ways to search for phraseological units is proposed with a minimum amount of manual labor and using elements of end-to-end digital technologies. During the study, the technical parameters of phraseological units to be searched were described; the capabilities of the author’s corpus manager within the framework of manual and special manual queries were examined; two algorithms for a two-stage search for individual phraseological units and their groups were developed and tested on the basis of a representative corpus of texts from German-language media; detailed examples of search results were provided. As a result, the consistency of the developed algorithms has been proved and it has been experimentally established that the search error lies in the acceptable range of 0-14.8%.

Assessing the Immunization Information System and electronic health record interface accuracy for COVID-19 vaccinations.

Our objective is to assess the accuracy of the COVID-19 vaccination status within the electronic health record (EHR) for a panel of patients in a primary care practice when manual queries of the state immunization databases are required to access outside immunization records. This study evaluated COVID-19 vaccination status of adult primary care patients within a university-based health system EHR by manually querying the Kansas and Missouri Immunization Information Systems. A manual query of the local Immunization Information Systems for 4114 adult patients with "unknown" vaccination status showed 44% of the patients were previously vaccinated. Attempts to assess the comprehensiveness of the Immunization Information Systems were hampered by incomplete documentation in the chart and poor response to patient outreach. When the interface between the patient chart and the local Immunization Information System depends on a manual query for the transfer of data, the COVID-19 vaccination status for a panel of patients is often inaccurate.

Operating algorithms of the "TRAP" automated group measuring device controller

The article highlights the importance of measuring the production capacity of wells (oil, water, gas) in the process of operation to ensure efficient development of oil and gas fields. Modernization of hardware and software by the Institute of Control Systems of "Trap"-type automated group measuring devices (AGMU), widely used in the oil fields of the Azerbaijan Republic, is demonstrated. An overall block diagram of the operating algorithms compiled during implementation of the new controller module in the upgraded "Trap" control device for measuring oil-well production rate as well as its separate sub-components are given: Initial parameter setting service; Automatic and manual query identification service; Manual command execution service; Service connecting (i)-th well to the measuring tank; Service of monitoring the filling of the tank over time (mi); Service of disconnecting (i)-th well from the measuring tank and waiting for fluid settling; Production rate measurement and calculation service; Automatic query analysis and execution service, their algorithms are described, and the principles of their operation are explained.

An Assessment of Perspectives and Concerns Among Research Participants of Childbearing Age Regarding the Health-Relatedness of Data, Online Data Privacy, and Donating Data to Researchers: Survey Study.

The June 2022 US Supreme Court decision to ban abortion care in Dobbs v Jackson Women's Health Organization sparked ominous debate about the privacy and safety of women and families of childbearing age with digital footprints who actively engage in family planning, including abortion and miscarriage care. To assess the perspectives of a subpopulation of research participants of childbearing age regarding the health-relatedness of their digital data, their concerns about the use and sharing of personal data online, and their concerns about donating data from various sources to researchers today or in the future. An 18-item electronic survey was developed using Qualtrics and administered to adults (aged ≥18 years) registered in the ResearchMatch database in April 2021. Individuals were invited to participate in the survey regardless of health status, race, gender, or any other mutable or immutable characteristics. Descriptive statistical analyses were conducted using Microsoft Excel and manual queries (single layer, bottom-up topic modeling) and used to categorize illuminating quotes from free-text survey responses. A total of 470 participants initiated the survey and 402 completed and submitted the survey (for an 86% completion rate). Nearly half the participants (189/402, 47%) self-reported to be persons of childbearing age (18 to 50 years). Most participants of childbearing age agreed or strongly agreed that social media data, email data, text message data, Google search history data, online purchase history data, electronic medical record data, fitness tracker and wearable data, credit card statement data, and genetic data are health-related. Most participants disagreed or strongly disagreed that music streaming data, Yelp review and rating data, ride-sharing history data, tax records and other income history data, voting history data, and geolocation data are health-related. Most (164/189, 87%) participants were concerned about fraud or abuse based on their personal information, online companies and websites sharing information with other parties without consent, and online companies and websites using information for purposes that are not explicitly stated in their privacy policies. Free-text survey responses showed that participants were concerned about data use beyond scope of consent; exclusion from health care and insurance; government and corporate mistrust; and data confidentiality, security, and discretion. Our findings in light of Dobbs and other related events indicate there are opportunities to educate research participants about the health-relatedness of their digital data. Developing strategies and best privacy practices for discretion regarding digital-footprint data related to family planning should be a priority for companies, researchers, families, and other stakeholders.

How Google Autocomplete Algorithms about Conspiracy Theorists Mislead the Public

How Google Autocomplete Algorithms about Conspiracy Theorists Mislead the Public

Decoding the ergonomics in the new normal for dentistry: A narrative review

Focus and precision are the sine qua non of dentistry, wherein the routine tasks require a peak pinch force and results in finger fatigue and cumulative trauma disorders combined with impaired vision. Dentists’ posture is treated with great care and oft repeated in Ergonomics, studied in undergraduate courses and the continuing education courses, though many still do not know the subject well enough. The study selection was done upon selecting the dental surgeons, hygienists, assistant working on their patients and included the findings relating to practice environment. The electronically searched sources until 2021 were the MEDLINE Pub med, EMBASE, Wiley Online Library, Science direct, American Dental Association (ADA) website and Google Scholar. An additional manual search and queries with cross-reference yielded around fifty studies ultimately. The International Ergonomic Association (IEA) recognized certain domains long ago and its noteworthy application for dental office is set forth in the present review. Ergo-dentistry may come to be realized as a new essential in the new normal for our profession. Evidence echoes that dentists are at risk for developing health problems, particularly the musculoskeletal disorders and impaired vision. Beyond doubt, a healthy dentist is a pre-requisite for a successful dental practice. Ergodontics is the key to keep check on the same and following its core principles is essential.

Injury incidence and patterns associated with electric scooter accidents in a major metropolitan city

PurposeDespite increased use of e-scooters globally, actionable data around injury incidence and patterns associated with e-scooter accidents are limited. This study aimed to determine the prevalence of imaging exams, injury incidence, and patterns related to e-scooter injuries, with the hope of guiding an appropriate policy response. MethodsThis was a retrospective observational study of imaging exams ordered for injuries related to e-scooters seen in an Emergency Department (ED) setting within our health system from September 2018 through December 2019. Our institutional Radiology Information System (RIS) was searched for the presence of the word “scooter.” Manual query of search results was conducted in the electronic medical record (EMR) and only studies confirmed to be related to e-scooters were included. ResultsA total of 477 radiologic studies performed on 192 unique patients were confirmed to be performed for injuries related to e-scooters. The median patient age was 28 years and 58.3% were male. One hundred forty patients (72.9%) had injuries identified on imaging, with an overall exam positivity rate of 44.4%. The most common injuries were soft tissue and musculoskeletal in nature. Over half (51.9%) of the entries with the keyword “scooter” were excluded because of lack of EMR specificity regarding scooter type. ConclusionWhile this study showed that injuries following e-scooter accidents are common and frequently involve the face and extremities, it is limited by lack of documentation in the EMR. Further research with a standardized documentation protocol will be needed to better understand injuries patterns following e-scooter accidents.

Using semantic enrichment methods in expert search system for recruitment process in IT corporation

The problem of intelligent information retrieval and semantic enrichment becomes more and more popular due to the difficulty of searching and analyzing large text datasets. The common approach assumes user manual queries in natural language. Various semantic enrichment methods and intelligent text searching allow obtaining more accurate results leading to broader knowledge and user satisfaction.This research presents state-of-the-art methods of searching with enrichment and building rankings of results for the expert recruitment process in IT industry. The proposed model implements full-text search, semantic enrichment, and machine learning to match experts with job offers. Different data sources on expert competencies were used, including curricula vitae, historical data, and Internet resources. The testing results confirm an improvement in the search quality compared to the existing systems in the recruitment company.

Assessing an Electronic Health Record research platform for identification of clinical trial participants

Electronic health records (EHR) are a potential resource for identification of clinical trial participants. We evaluated how accurately a commercially available EHR Research Platform, InSite, is able to identify potential trial participants from the EHR system of a large tertiary care hospital. Patient counts were compared with results obtained in a conventional manual search performed for a reference study that investigated the associations of atrial fibrillation (AF) and cerebrovascular incidents. The Clinical Data Warehouse (CDW) of Turku University Hospital was used to verify the capabilities of the EHR Research Platform.The EHR query resulted in a larger patient count than the manual query (EHR Research Platform 5859 patients, manual selection 2166 patients). This was due to the different search logic and some exclusion criteria that were not addressable in structured digital format. The EHR Research Platform (5859 patients) and the CDW search (5840 patients) employed the same search logic. The temporal relationship between the two diagnoses could be identified when they were available in structured format and the time difference was longer than a single hospital visit.Searching for patients with the EHR Research Platform can help to identify potential trial participants from a hospital's EHR system by limiting the number of records to be manually reviewed. EHR query tools can best be utilized in trials where the selection criteria are expressed in structured digital format.

A comparison of automatic Boolean query formulation for systematic reviews

Systematic reviews are comprehensive literature reviews that target a highly focused research question. In the medical domain, complex Boolean queries are used to identify studies. To ensure comprehensiveness, all studies retrieved are screened for inclusion or exclusion in the review. Developing Boolean queries for this task requires the expertise of trained information specialists. However, even for these expert searchers, query formulation can be difficult and lengthy: especially when dealing with areas of medicine that they may not be knowledgeable about. To this end, two computational adaptations of methods information specialists use to formulate Boolean queries have been proposed in prior work. These adaptations can be used to assist information specialists by providing a good starting point for query development. However, a number of limitations with these computational methods have been raised, and a comparison between them has not been made. In this study, we address the limitations of previous work and evaluate the two. We found that, between the two computational adaptions, the objective method is more effective than the conceptual method for query formulation alone, however, the conceptual method provides a better starting point for manual query refinement. This work helps to inform those building search tools that assist with systematic review construction.

How to Obtain an Orthodontic Virtual Patient through Superimposition of Three-Dimensional Data: A Systematic Review

Background: This systematic review summarizes the current knowledge on the superimposition of three-dimensional (3D) diagnostic records to realize an orthodontic virtual patient. The aim of this study is to analyze the accuracy of the state-of-the-art digital workflow. Methods: The research was carried out by an electronic and manual query effectuated from ISS (Istituto Superiore di Sanità in Rome) on three different databases (MEDLINE, Cochrane Library and ISI WEB OF SCIENCE) up to 31st January 2020. The search focused on studies that superimposed at least two different 3D records to build up a 3D virtual patient—information about the devices used to acquire 3D data, the software used to match data and the superimposition method applied have been summarized. Results: 1374 titles were retrieved from the electronic search. After title-abstract screening, 65 studies were selected. After full-text analysis, 21 studies were included in the review. Different 3D datasets were used: facial skeleton (FS), extraoral soft tissues (ST) and dentition (DENT). The information provided by the 3D data was superimposed in four different combinations: FS + DENT (13 papers), FS + ST (5 papers), ST + DENT (2 papers) and all the types (FS + ST + DENT) (1 paper). Conclusions: The surface-based method was most frequently used for 3D objects superimposition (11 papers), followed by the point-based method (6 papers), with or without fiducial markers, and the voxel-based method (1 paper). Most of the papers analyzed the accuracy of the superimposition procedure (15 papers), while the remaining were proof-of-principles (10 papers) or compared different methods (3 papers). Further studies should focus on the definition of a gold standard. The patient is going to have a huge advantage from complete digital planning when more information about the spatial relationship of anatomical structures are needed: ectopic, impacted and supernumerary teeth, root resorption and angulations, cleft lip and palate (CL/P), alveolar boundary conditions, periodontally compromised patients, temporary anchorage devices (TADs), maxillary transverse deficiency, airway analyses, obstructive sleep apnea (OSAS), TMJ disorders and orthognathic and cranio-facial surgery.

On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015–2017

The last decade has seen innovations that make video recording, manipulation, storage, and sharing easier than ever before, thus impacting many areas of life. New video retrieval scenarios emerged as well, which challenge the state-of-the-art video retrieval approaches. Despite recent advances in content analysis, video retrieval can still benefit from involving the human user in the loop. We present our experience with a class of interactive video retrieval scenarios and our methodology to stimulate the evolution of new interactive video retrieval approaches. More specifically, the video browser showdown evaluation campaign is thoroughly analyzed, focusing on the years 2015–2017. Evaluation scenarios, objectives, and metrics are presented, complemented by the results of the annual evaluations. The results reveal promising interactive video retrieval techniques adopted by the most successful tools and confirm assumptions about the different complexity of various types of interactive retrieval scenarios. A comparison of the interactive retrieval tools with automatic approaches (including fully automatic and manual query formulation) participating in the TRECVID 2016 ad hoc video search task is discussed. Finally, based on the results of data analysis, a substantial revision of the evaluation methodology for the following years of the video browser showdown is provided.

Advanced Visualization and Analysis of Data Quality for Syndromic Surveillance Systems

ObjectiveTo extend an open source analytics and visualization platform for measuring the quality of electronic health data transmitted to syndromic surveillance systems.IntroductionEffective clinical and public health practice in the twenty-first century requires access to data from an increasing array of information systems. However, the quality of data in these systems can be poor or “unfit for use.” Therefore measuring and monitoring data quality is an essential activity for clinical and public health professionals as well as researchers1. Current methods for examining data quality largely rely on manual queries and processes conducted by epidemiologists. Better, automated tools for examining data quality are desired by the surveillance community.MethodsUsing the existing, open-source platform Atlas developed by the Observational Health Data Sciences and Informatics collaborative (OHDSI; www.ohdsi.org), we added new functionality to measure and visualize the quality of data electronically reported from disparate information systems. Our extensions focused on analysis of data reported electronically to public health agencies for disease surveillance. Specifically, we created methods for examining the completeness and timeliness of data reported as well as the information entropy of the data within syndromic surveillance messages sent from emergency department information systems.ResultsTo date we transformed 111 million syndromic surveillance message segments pertaining to 16.4 million emergency department encounters representing 6 million patients into the OHDSI common data model. We further measured completeness, timeliness and entropy of the syndromic surveillance data. In Figure-1, the OHDSI tool Atlas summarizes the analysis of data completeness for key fields in over one million syndromic surveillance messages sent to Indiana’s health department in 2014. Completeness is reported by age category (e.g., 0-10, 20-30, 60+). Gender is generally complete, but both race and ethnicity fields are often complete for less than half of the patients in the cohort. These results suggest areas for improvement with respect to data quality that could be actionable by the syndromic surveillance coordinator at the state health department.ConclusionsOur project remains a work-in-progress. While functions that assess completeness, timeliness and entropy are complete, there may be other functions important to public health that need to be developed. We are currently soliciting feedback from syndromic surveillance stakeholders to gather ideas for what other functions would be useful to epidemiologists. Suggestions could be developed into functions over the next year. We are further working with the OHDSI collaborative to distribute the Atlas enhancements to other platforms, including the National Syndromic Surveillance Platform (NSSP). Our goal is to enable epidemiologists to quickly analyze data quality at scale.

Mobile based application for prediction of diabetes mellitus: FHIR Standard

Presently physicians providing clinical decision along clinical guidelines manually on basis of manual query to patients that involve documentation files of lab reports, medication description etc., that make practice sluggish and arduous. With development of mobile based application provide assistance to physician in providing quick decision in appropriate manner as patient data available any-time from any-where that will enhance quality of care in field of healthcare. HL7 standard promotes FHIR(Fast Health Interoperability Resource) standard and health information technology for mobile-health. Mobile health is not a vertical field, but a kind of horizontal field that has cut various impact of healthcare domains. This application provide the effective health management of patient's electronic health record with ease of user friendly interface, that can be accessed on role based authentication by numbers of actors like patient, physician, clinic staff and patient's family etc. Basically this study projected decision support system for prediction of chronic disease-Diabetic- Mellitus using FHIR(Fast Health Interoperability Resource) as standard for interoperability among hospital information system. Application provide physician's structured series of symptoms/signs as uploaded by patients, laboratory and staff. Series of questioner along with outcomes are formed, all outcomes appraised and tested by team of medical domain experts.

SDS-PAGE Detection and Proteomic Characterization of Glycation-Sensitive Bovine Serum Albumin Peptides and Referenced in Comparison with Human Serum Albumin

Extent of protein glycation, in particular serum albumins, glyco-conjugates formed between functional proteins and the advanced glycation end-products (AGEs) has been regarded as an in vivo potential marker related to metabolic syndrome and subsequent chronic diseases. In this study, bovine serum albumin (BSA) has been subjected to an in vitro glycation with fructose at 50°C for 24 h and SDS-PAGE analyzed. An original 50 KDa peptide was disappearing with time along with appearance of the normally detected 97 KDa glycated peptide. When bands of 50 KDa and 97 KDa were subjected to proteomic LC/ MS/MS analysis and MASCOT search with BSA gi|1351907 (NCBInr Database), the coverage ratios are 42% and 49%, respectively. The segment of ECCDKPLLEK [aa 300-309 sharing common segment of KPLLEK with that in human serum albumin (HSA)] was only detected in the 50 KDa peptide. In further search by manual queries addressed on m/z values of the AGEs-precursor conjugates addressed on specified segments, K548 was of particular detected being active to form various AGEs-precursor conjugates. The adjacent 11 aa-segment of aa 545-555 (QIKKQTALVEL) is identical to that of HSA and deserves to use as a target to develop a measure in monitoring human blood glycation. Thus, segments of KPLLEK (aa 304-309) and QIKKQTALVEL (aa 545-555 containing K548 are of potency to use as a glycation-sensitive marker for development of rapid clinic assessment in surveillance of human health.

Weaving many strands

The healthcare home model drives major change in the way general practice is delivered, strengthens the basics of primary care, (access, coordination, comprehensive, continuity) and adds into the mix the opportunities that arise from technological advances and reorienting the system so it is patient and whanau focussed. That’s the theory but what does it look like practically? Northland DHB in collaboration with the two Northland PHOs, and supported by the broader national NZ Healthcare Home Care Collaborative have embarked on a major change process to establish Neighbourhood Healthcare Homes (NHH). We are working with six general practices in the first year, (small and large, rural and urban, traditional private business, corporate and iwi owned to make the NHH changes. New joint (NDHB and PHOs) change facilitation and financial analyst positons have been established to support practices with the NHH model changes. Northland DHB has funded release time for the establishment phase and contributed $16 per ESU capitation funding for the re designed practices. The PHOs have redirected Care Plus and SIA funding. The NHH model of care includes the standard healthcare home building blocks which are designed to release capacity within the general practice so that high needs /risk patients can be managed more proactively. These standard building blocks include practice teams driving portal uptake, using Doctor triage for patients requesting urgent appointments, expanding nurse roles and establishing new roles, reorganising appointment systems, including LEAN methodology into planning. In addition to these standard healthcare home offerings Northland is actively developing equity management tools and processes and social and health integration responses. The preparation for the NHH development included two key pieces of work to establish baseline, but also to support practices to make change using their individualised evidence. Firstly the DHB and the PHO collaborated on the piece of work with the former Health Partners Consulting Group to develop a shared dataset to inform General Practices about their current delivery of care. This information is packaged up and delivered by a public health physician who helps the practices to interpret results. There is a particular focus on equity markers. Secondly a multi-facetted piece of research looked at appointment availability, using the TNAA methodology and complemented by a manual acute appointment query. In communicating the outcomes, the team delivered the results to the practices with opportunities for discussion and with additional academic papers and a MOPs point’s audit tool to support further development. Concurrently work revising the way community and primary nurses link with general practices has been in development, with a new primary secondary navigator role to be implemented within the emerging NHHs, in Whangarei.

Optimisation of language-integrated queries by query unnesting

Native functional-style querying extensions for programming languages (e.g., LINQ or Java 8 streams) are widely considered as declarative. However, their very limited degree of optimisation when dealing with local collection processing contradicts this statement. We show that developers constructing complex LINQ queries or combining queries expose themselves to the risk of severe performance deterioration. For an inexperienced programmer, a way of getting an appropriate query form can be too complicated. Also, a manual query transformation is justified by the need of improving performance, but achieved at the expense of reflecting an actual business goal. As a result, benefits from a declarative form and an increased level of abstraction are lost.In this paper, we claim that moving of selected methods for automated optimisation elaborated for declarative query languages to the level of imperative programming languages is possible and desired. Our approach is based on the assumption that programmer is able distinguish whether a language-integrated query is intentionally used to introduce some side-effects or its sole purpose is to only query the data. We propose two optimisation procedures through query unnesting designed to avoid unnecessary multiple calculations in collection-processing constructs based on higher-order functions. We have implemented and verified this idea as a simple proof-of-concept LINQ optimiser library.

Design and evaluation of a multi-recommendation system for local code search

Searching for relevant code in the local code base is a common activity during software maintenance. However, previous research indicates that 88% of manually composed search queries retrieve no relevant results. One reason that many searches fail is existing search tools’ dependence on string matching algorithms, which cannot find semantically related code. To solve this problem by helping developers compose better queries, researchers have proposed numerous query recommendation techniques, relying on a variety of dictionaries and algorithms. However, few of these techniques are empirically evaluated by usage data from real-world developers. To fill this gap, we designed a multi-recommendation system that relies on the cooperation between several query recommendation techniques. We implemented and deployed this recommendation system within the Sando code search tool and conducted a longitudinal field study. Our study shows that over 34% of all queries were adopted from recommendation; and recommended queries retrieved results 11% more often than manual queries.

Abstract 16395: Comparing Cardiopulmonary Exercise Measures of Men and Women With HFrEF and Their Relationship to Prognosis: The Henry Ford HospITal CardioPulmonary Exercise Testing (FIT-CPET) Project

Introduction: Several cardiopulmonary exercise test (CPET) variables (e.g., peak oxygen consumption (VO2), ventilatory efficiency (VE-VCO2) slope, and % predicted peak VO2 (%pVO2)) are regularly used to estimate prognosis in patients with systolic heart failure (HFrEF). Although known sex differences in physiology (i.e., muscle mass, lung volume) result in lower peak VO2 values in healthy women vs. men, this influence on CPET variables and subsequent prognosis in patients with HFrEF is not well described. Purpose: Compare the peak VO2, VE-VCO2 slope and %pVO2 values in men and women that correspond to prognosis using the International Society of Heart Transplant (ISHT) reported North American 1 and 3-y cardiac transplant survival rates (i.e., 86% and 79%, respectively). Methods: Patients with a CPET between 1997 and 2010 were identified. HFrEF was confirmed through a manual query of the medical record. Deaths through December 2011 were identified from the National Death Index. Receiver operator characteristic (ROC) curves were developed for each CPET measure and the threshold values and area under the curve (AUC) values associated with 86% and 79% specificity for each sex were determined. Results: A total of 1,201 patients (33% female; 55% Black; 33% ischemic; age = 55 + 13 y; BMI = 31 +7 kg.m-2; EF = 22 + 9%) were included in this analysis. Specificity threshold values and the corresponding AUC, for each CPX variable, are shown in the Table. At 1-y there were 167 (14%) deaths with a 10% event rate for women and 16% for men. At 3-y there were 335 (31%) deaths with a 25% event rate for women and 35% for men. Conclusions: In this large, racially diverse population both peak VO2 and %pVO2 had clinically meaningful differences for risk stratification thresholds depending on sex. This was not true for VE-VCO2 slope. Clinical decisions regarding the need for advanced therapies such as transplant or ventricular assist devices, when based on peak VO2 or %pVO2, might consider the patient’s sex.

An Automatic Query Generation Approach for Arabic Corpus

of the most common problems that encounter retrieval systems is the query environment which is utilized to evaluate the performance or throughput of them. Usually data sets of queries for a specific corpus are generated using the human experiences. Manual queries are more accurate than automatic one's, but they require a huge effort in the huge corpus. This paper proposes an automatic query generation (AQG) system for Arabic language. The system generates a set of queries of different length that were applied on a query expansion system. The results show the feasibility of these queries compared with manual one in term of average recall and average precision.