Compendex Databases Research Articles

A124 A SYSTEMATIC REVIEW OF THE EFFICACY OF ARTIFICIAL INTELLIGENCE IN IDENTIFYING BARRETT'S ESOPHAGUS NEOPLASIA

Abstract Background Barrett’s Esophagus (BE) is a known precursor for esophageal adenocarcinoma and requires frequent surveillance with esophagogastroduodenoscopy. Due to tumour heterogeneity and logistical demands on endoscopists, identification of BE dysplasia is difficult and random biopsies are riddled with sampling error. Artificial Intelligence (AI), in the form of computer-aided detection, has entered the endoscopic realm to improve BE dysplasia detection. This systematic review aims to evaluate its efficacy in BE screening. Aims To survey the literature regarding the efficacy of machine learning tools in identifying BE dysplasia. The primary outcome was recognition of BE from a database of endoscopic images with histopathologic correlation utilizing a machine learning algorithm, with sensitivity and specificity reported. Methods Using the PRISMA framework, MEDLINE, EMBASE and Compendex databases were searched from inception to Sept 1, 2023. Of 1915 articles identified, 35 were selected for full-text review. Two reviewers, JB and JK, independently completed the literature review and discrepancies were reviewed by the PI. After applying inclusion and exclusion criteria, 20 studies were included in the systematic review. The quality of studies was assessed using the Newcastle-Ottawa Scale. Inclusion Criteria: -Must include Barrett's esophagus and / or EAC (esophageal adenocarcinoma) -Must include novel research (not a systematic review or MA) -Requires use of endoscopic images -English only, full text manuscripts Exclusion Criteria: -No prior surgery (esophagectomy) -Does not include esophageal squamous cell carcinoma Results Of the 20 articles selected, seven were published after 2021. All studies utilized a machine learning algorithm to aid in identification of BE dysplasia. Various imaging modalities were used, including white light imaging, narrow-band imaging, or volumetric laser endomicroscopy. A total of 3,886 patients were included with 5,605 images. Sensitivity ranged from 72 – 100%, specificity ranged from 64 – 94%. The overall quality of studies included was low. Conclusions Surveillance of BE dysplasia remains a difficult and time-intensive task. Computer-aided detection of BE dysplasia demonstrates strong performance independent of the machine learning algorithm or imaging modality. Meta-analyses are required to illustrate heterogeneity and power to bolster these preliminary findings. Funding Agencies None

Understanding urban growth modeling in Africa: Dynamics, drivers, and challenges

Africa has been a hotspot of rapid urban growth since 2000, yet no review exists that describes the current state of urban growth modeling. This review aims to fill this gap by synthesizing urban growth modeling approaches, input variables and challenges across Africa. Using Web of Science, Google Scholar, Geobase, and Compendex databases, we selected 49 studies that projected urban land use and cover change or modeled probabilities of future urban change associated with a variety of input variables. We found increasing trends in the numbers of studies employing cellular automata, statistical regression, agent-based, video prediction, and integrated approaches. The modeling approaches used and their corresponding increases differed across Africa. The input variables used to project urban growth also varied across subregions. Studies were biased towards populous countries rather than the most urbanized. 78 % of the studies focused on primary cities, while secondary cities were less frequently studied. Comparison of urban growth modeling across multiple regions and for different types of cities is currently difficult due to inconsistent definitions and limited availability of data and computational resources. We recommend that the scientific community develop consistent definitions of African city types and urban land use and land cover classifications, create regional urban land cover products for Africa, and build repositories of models and their input data.

Computer Vision Applications In Construction And Asset Management Phases: A Literature Review

Recent advances in digital photography and unmanned aerial vehicle (UAV) platforms make visual data from construction project sites more accessible to project teams. To semi-automatically or automatically obtain the essential information, evaluate the ongoing activities or operations, and address project-level challenges, researchers have focused on applying various computer vision (CV)-based methods to process and interpret the acquired visual data. This research developed a framework to summarize the vision-based methods that have been applied to construction/asset management operations through a systematic literature review. The reviewed literature was composed of 103 journal papers from 2011 to 2020. All the reviewed journal papers were from the Ei Compendex database with specific search criteria. The developed framework consisted of two parts: use cases and CV domains. Use cases contained five aspects: safety monitoring, productivity improvement, progress monitoring, infrastructure inspection, and robotic application. CV domains contained six aspects: image processing, object classification, object detection, object tracking, pose estimation, and 3D reconstruction. All eleven aspects were integrated from the reviewed papers. For each reviewed paper, the general workflow of applied vision-based approaches was described and categorized into each use case. A trending timeline was developed to analyze the popularity of the identified use cases and CV domains within the reviewed time period. Both the quantity and variety of construction use cases and CV domains have increased. Challenges and limitations of applying CV-based methods in the construction industry were also identified. This paper provides readers with a summary of how CV-based methods have been used in the construction industry and serve as a reference for future research and development.

Wind Loads in Low-Rise Buildings with Parapet: A Systematic Review

A relevant analysis for the design of buildings is wind-induced loading. Although this has led to numerous studies, there have been relatively few investigations on the effects of parapets on wind loads. This systematic review addressed quantitative and qualitative behavior of wind loads in buildings with parapets in the Web of Science, ScienceDirect, SCOPUS, and Compendex databases. Using alternative methods such as citation searches and websites were selected 6 research articles were and added 6 papers. The results treat the influence of parapets on the behavior of the wind on roofs of low-rise buildings, especially wind loads, and its correlation with the building's geometric characteristics and parapets. The results identified pressure increases on roofs for low parapets (h<1.0 m); however, the dates vary according to the h/H ratio. Also, in general, the higher the parapets, the highest the reduction in the intensities of the pressure coefficients. Still, the porous and cantilevered parapets are more efficient and economically viable as a device to mitigate wind loads when compared to solid parapets in low buildings. Finally, for an open canopy, the height of the parapet is the main parameter, although the length of the building is also relevant.

Virtual and augmented reality in the vestibular rehabilitation of peripheral vestibular disorders: systematic review and meta-analysis

Vestibular rehabilitation therapy is an established treatment for patients with vestibular dysfunction. Virtual reality (VR) and augmented reality (AR) can be utilised in vestibular rehabilitation. Evidence of the efficacy of VR and AR delivered rehabilitation in patients with peripheral vestibular disorders is reviewed. MEDLINE, EMBASE, CENTRAL, CINAHL, PsychInfo, PsychBITE, OTSeeker, Ei Compendex, IEE, Clinical trials.gov and WebofScience databases were searched. Reduction in vestibular dysfunction symptoms 0–3 months post-intervention was the primary outcome. Secondary outcomes included long-term symptom improvement and side effects. Risk of bias assessment and meta analyses were planned. Five studies meeting eligibility criteria were included. Dizziness Handicap Inventory (DHI) scores 0–3 months post-intervention were reported by four studies. Meta-analysis identified a 1.13 (95% CI, − 1.74, − 0.52) standardized mean difference reduction in DHI in VR and AR treated patients compared to controls. Side effects reported by two studies were reduced by week four of VR intervention. Bias assessment identified DHI scores and side effects to be at high risk or of some concern. Adjunct VR interventions reduced patient DHI significantly more than vestibular rehabilitation alone 0–3 months post-intervention in adult patients diagnosed with unilateral vestibular disease. High quality studies are needed.

A Bibliometric Analysis of Computer-assisted English Learning from 2001 to 2020

The aim of this study was to reveal hotspots and frontiers of computer-assisted English learning (CAEL) studies indexed by EI Compendex database from 2001 to 2020 via bibliometric analysis. The publication output has exponentially grown in the past two decades and is likely to progress in the next several years. China occupied the leading position， while Lecture Notes in Computer Science was the most prolific journal, and Deyi Xiong was the most productive author. Keyword analysis was assisted by VOSviewer software. Our results show that “computer aided instruction”, “computer aided language translation” and “learning systems” were the most frequently used keywords in documents. CAEL studies were mainly conducted from five dimensions (technology, learners, teaching, English acquisition and testing). The findings of this study have implications for English language instructors. Teaching methods and modes should be adjusted according to technology development.

Theme Evolution of Researches on Knowledge Graphs Based on Visualization Analyses of Data

The knowledge graph, as a significant branch of Library and Information Science, has also become a vital part of Computer Science. In a bid to reveal the research trend and hot topics of the knowledge graph domain, this paper collected latest data about literature on knowledge graphs from SCI-Expanded and EI Compendex database. This paper took advantage of Citespace for visualization analyses of data, which discerned the research topics, hot issues and theme changes of the knowledge graph domain over time. Through analyses, we conclude that the knowledge graph has developed greatly in both Library and Information Science and Computer Science. In Library and Information Science domain, researches focus on the issues like the plotting of knowledge graphs and visualization of knowledge. In Computer Science domain, hot issues are the techniques of constructing knowledge graphs, which include entity recognition, knowledge integration, etc., and their applications in Semantic Web. Among all the research topics, the domain knowledge graph is one of the paramount research trends. Compared with previous researches, this paper keeps up with the times and can reveal the theme evolution of researches on knowledge graphs more precisely.

Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review.

There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate which MRI sequences and analysis methods have been used and to identify future needs. Medline, Embase, Scopus, Web of Science, Inspec, and Compendex databases were searched up to 2 November 2019, using keywords “magnetic resonance imaging” and “Duchenne muscular dystrophy.” The review showed the trend of using T1w and T2w MRI images for semi‐qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High‐field (>3T) MRI dominated the studies with animal models. The quantitative MRI techniques have allowed a more precise estimation of local or generalized disease severity. Longitudinal studies assessing the effect of an intervention have also become more prominent, in both clinical and animal model subjects. Quality assessment of the included longitudinal studies was performed using the Newcastle‐Ottawa Quality Assessment Scale adapted to comprise bias in selection, comparability, exposure, and outcome. Additional large clinical trials are needed to consolidate research using MRI as a biomarker in DMD and to validate findings against established gold standards. This future work should use a multiparametric and quantitative MRI acquisition protocol, assess the repeatability of measurements, and correlate findings to histologic parameters.

Schema Theory-Based Flipped Classroom Model Assisted With Technologies

The flipped model assisted with technologies has an edge over the non-flipped model. Through collecting, generalizing, systemizing, and summarizing around 70 publications from SSCI, A&HCI, and EI Compendex databases, it was concluded that the flipped approach could assimilate and adapt learners' schemata before class. In class, the pre-class schemata activation and construction have laid a solid foundation for students' in-class learning activities. Students could achieve successful schemata modification and reconstruction with the assistance of both their partners and teachers through collaborative learning. In the non-flipped classroom, however, they not only lacked the pre-class round of schemata assimilation and adaptation but also could not successfully activate their existing schemata. After class, students in the flipped model with technology could communicate with teachers through the online platform to continue their schemata adaptation process. Future empirical studies are needed to identify the effectiveness of flipped classrooms assisted with technologies.

Google Scholar's Coverage of the Engineering Literature 10 years Later

In 2008 Meier and Conkling first tested Google Scholar's coverage of the engineering literature against citations gathered from the Compendex database. Since that time, other studies have used the same methodology and found improvement in Google Scholar's coverage. This study uses engineering dissertations from Proquest Dissertations & Theses to create a data set of citations for the comparison of fee-based databases, Compendex and Scopus, against Google Scholar. From 1950 to 2017 Google Scholar outperformed both Compendex and Scopus in discoverability of citations in nine engineering subjects. These results have implications for collection management and information literacy program planning for librarians.

Advances in Remote Respiratory Assessments for People with Chronic Obstructive Pulmonary Disease: A Systematic Review.

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality. Advances in remote technologies and telemedicine provide new ways to monitor respiratory function and improve chronic disease management. However, telemedicine does not always include remote respiratory assessments, and the current state of knowledge for people with COPD has not been evaluated. Systematically review the use of remote respiratory assessments in people with COPD, including the following questions: What devices have been used? Can acute exacerbations of chronic obstructive pulmonary disease (AECOPD) be predicted by using remote devices? Do remote respiratory assessments improve health-related outcomes? The review protocol was registered (PROSPERO 2016:CRD42016049333). MEDLINE, EMBASE, and COMPENDEX databases were searched for studies that included remote respiratory assessments in people with COPD. A narrative synthesis was then conducted by two reviewers according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Fifteen studies met the inclusion criteria. Forced expiratory volume assessed daily by using a spirometer was the most common modality. Other measurements included resting respiratory rate, respiratory sounds, and end-tidal carbon dioxide level. Remote assessments had high user satisfaction. Benefits included early detection of AECOPD, improved health-related outcomes, and the ability to replace hospital care with a virtual ward. Remote respiratory assessments are feasible and when combined with sufficient organizational backup can improve health-related outcomes in some but not all cohorts. Future research should focus on the early detection, intervention, and rehabilitation for AECOPD in high-risk people who have limited access to best care and investigate continuous as well as intermittent monitoring.

Biomechanical Indices for Rupture Risk Estimation in Abdominal Aortic Aneurysms

Purpose: To review the use of biomechanical indices for the estimation of abdominal aortic aneurysm (AAA) rupture risk, emphasizing their potential use in a clinical setting. Methods: A search of the PubMed, Embase, Scopus, and Compendex databases was made up to June 2015 to identify articles involving biomechanical analysis of AAA rupture risk. Outcome variables [aneurysm diameter, peak wall stress (PWS), peak wall shear stress (PWSS), wall strain, peak wall rupture index (PWRI), and wall stiffness] were compared for asymptomatic intact AAAs vs symptomatic or ruptured AAAs. For quantitative analysis of the pooled data, a random effects model was used to calculate the standard mean differences (SMDs) with the 95% confidence interval (CI) for the biomechanical indices. Results: The initial database searches yielded 1894 independent articles of which 19 were included in the analysis. The PWS was significantly higher in the symptomatic/ruptured group, with a SMD of 1.11 (95% CI 0.93 to 1.26, p<0.001). Likewise, the PWRI was significantly higher in the ruptured or symptomatic group, with a SMD of 1.15 (95% CI 0.30 to 2.01, p=0.008). After adjustment for the aneurysm diameter, the PWS remained higher in the ruptured or symptomatic group, with a SMD of 0.85 (95% CI 0.46 to 1.23, p<0.001). Less is known of the wall shear stress and wall strain indices, as too few studies were available for analysis. Conclusion: Biomechanical indices are a promising tool in the assessment of AAA rupture risk as they incorporate several factors, including geometry, tissue properties, and patient-specific risk factors. However, clinical implementation of biomechanical AAA assessment remains a challenge owing to a lack of standardization.

International publishing partnerships for China's English language journals and financial security

This article considers China's English language journals (CELJs) and looks at two aspects of partnership with international publishers: the financial cost and their ability to deliver the quick success objectives of the journals. Success is defined as being indexed in international databases such as SCI (Science Citation Index) and Ei (Engineering Index) Compendex databases. Our research shows that 226 CELJs (57.8%) have an international publishing partnership with publishers such as Springer, Elsevier, and Wiley. A survey of 12 CELJs in Hubei Province, China, shows that 75% journals have financial pressures on the journal operation. The Journal of Rock Mechanics and Geotechnical Engineering ( JRMGE ) is provided as an illustration of the operation costs of CELJs and to demonstrate the associated financial pressures. We conclude that although international partnership is an on‐going fashion at present in China, it has both benefits and limitations. We also propose that to reduce the financial pressure on CELJs, government funding should be differently apportioned, providing a better return on investment (ROI).

Computerized prescriber order entry in the outpatient oncology setting: from evidence to meaningful use.

Chemotherapy is an effective treatment in the fight against many cancers. Medication errors in oncology can be particularly serious given the narrow therapeutic window of antineoplastic drugs and their high toxicities. Computerized prescriber order entry (cpoe) has consistently been shown to reduce medication errors and adverse drug events in various settings, but its use in the oncology setting has not been well established. To gain a better understanding of the meaningful use of cpoe systems in the outpatient chemotherapy setting, we undertook a systematic review of systemic therapy cpoe. A province-wide expert panel consisting of clinical experts, health information professionals, and specialists in human factors design provided guidance in the development of the research questions, search terms, databases, and inclusion criteria. The systematic review was undertaken by a core team consisting of a medical oncologist, nurse, pharmacist, and methodologist. The medline, embase, cinahl, and compendex databases were searched for relevant evidence. The database searches resulted in 5642 hits, of which 9 met the inclusion criteria and were retained. In the oncology setting, cpoe systems generally reduce chemotherapy medication errors; however, specific types of errors increase with the use of cpoe. These systems affect practice both positively and negatively with respect to time, workload, and productivity. Despite the paucity of oncology-specific research, cpoe should be used in outpatient chemotherapy delivery to reduce chemotherapy-related medication errors. Adoption by clinicians will be enhanced by cpoe processes that complement current practice and workflow processes.

Accelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies.

The aim of this review was to identify and summarise publications, which have reported clinical applications of upper limb accelerometry for stroke within free-living environments and make recommendations for future studies. Data was searched from MEDLINE®, Scopus, IEEExplore and Compendex databases. The final search was 31st October 2013. Any study was included which reported clinical assessments in parallel with accelerometry in a free-living hospital or home setting. Study quality is reflected by participant numbers, methodological approach, technical details of the equipment used, blinding of clinical measures, whether safety and compliance data was collected. First author screened articles for inclusion and inclusion of full text articles and data extraction was confirmed by the third author. Out of 1375 initial abstracts, 8 articles were included. All participants were stroke patients. Accelerometers were worn for either 24 hours or 3 days. Data were collected as summed acceleration counts over a specified time or as the duration of active/inactive periods. Activity in both arms was reported by all studies and the ratio of impaired to unimpaired arm activity was calculated in six studies. The correlation between clinical assessments and accelerometry was tested in five studies and significant correlations were found. The efficacy of a rehabilitation intervention was assessed using accelerometry by three studies: in two studies both accelerometry and clinical test scores detected a post-treatment difference but in one study accelerometry data did not change despite clinical test scores showing motor and functional improvements. Further research is needed to understand the additional value of accelerometry as a measure of upper limb use and function in a clinical context. A simple and easily interpretable accelerometry approach is required.Electronic supplementary materialThe online version of this article (doi:10.1186/1743-0003-11-144) contains supplementary material, which is available to authorized users.

Ozônio na esterilização de produtos para assistência à saúde: revisão integrativa da literatura

Estudo de revisão integrativa da literatura com o objetivo de buscar evidências que subsidiem a incorporação do ozônio como agente esterilizante de produtos para saúde. A busca foi realizada nas bases MEDLINE, SCOPUS, COCHRANE, COMPENDEX, INSPEC E ENGINEERING RESEARCH DATABASE, utilizando-se os descritores ozone e sterilization. Foram obtidas cinco publicações, entre 1990 e 2008, que testaram o ozônio como esterilizante. Todas utilizaram o mesmo tipo de investigação (experimental laboratorial) e alcançaram esterilização pelo ozônio, porém com variados escopos e produtos testados, além de diversos procedimentos metodológicos. Tendo em vista a incessante tecnologia de novos produtos, com ampla variedade de conformações e matéria-prima, os achados denotam o ozônio um método promissor, porém ainda em fase inicial de investigação. Mais estudos experimentais ainda são necessários, de maneira a subsidiar evidências mais amplas sobre suas possibilidades e limitações.

Application of life cycle assessment in the mining industry

Background, aim, and scope In spite of the increasing application of life cycle assessment (LCA) for engineering evaluation of systems and products, the application of LCA in the mining industry is limited. For example, a search in the Engineering Compendex database using the keywords “life cycle assessment” results in 2,257 results, but only 19 are related to the mining industry. Also, mining companies are increasingly adopting ISO 14001 certified environmental management systems (EMSs). A key requirement of ISO certified EMSs is continual improvement, which can be better managed with life cycle thinking. This paper presents a review of the current application of LCA in the mining industry. It discusses the current application, the issues, and challenges and makes relevant recommendations for new research to improve the current situation.

English

A proof-of-principle demonstration for extracting military-related technologies from a country's total technology publications has been performed, and applied to the Indian science and technology literature#. The method is general and can be applied to the extraction of any meta-category (e.g., intelligence-relevanttechnologies, infrastructure-relevant technologies, etc) which is not easily obtained from document clustering or factor analysis. The methodology for identifying relevant literature on military science appears to provide credible results. The volume of literature retrieved will vary depending on how strongly relevant is the desired literature. For the same definitions of 'military relevant', the volume of India's literature in the Ei Compendex database was an order of magnitude less than that of the USA or China.Defence Science Journal, 2010, 60(3), pp.259-270, DOI:http://dx.doi.org/10.14429/dsj.60.352

Human Problem Solving in 2006

This paper presents a bibliography of a little more than 100 references related to human problem solving, arranged by subject matter. The references were taken from PsycInfo and Compendex databases. Only journal papers, books and dissertations are included. The topics include human development, education, neuroscience, research in applied settings, as well as animal studies. A few references from artificial intelligence are also given.

Automated Classification of Textual Documents Based on a Controlled Vocabulary in Engineering

Automated subject classification has been a challenging research issue for many years now, receiving particular attention in the past decade due to rapid increase of digital documents. The most frequent approach to automated classification is machine learning. It, however, requires training documents and performs well on new documents only if these are similar enough to the former. We explore a string-matching algorithm based on a controlled vocabulary, which does not require training documents – instead it reuses the intellectual work put into creating the controlled vocabulary. Terms from the Engineering Information thesaurus and classification scheme were matched against title and abstract of engineering papers from the Compendex database. Simple string-matching was enhanced by several methods such as term weighting schemes and cut-offs, exclusion of certain terms, and enrichment of the controlled vocabulary with automatically extracted terms. The best results are 76% recall when the controlled vocabulary is enriched with new terms, and 79% precision when certain terms are excluded. Precision of individual classes is up to 98%. These results are comparable to state-of-the-art machine-learning algorithms.