Search results

This paper aims to focus on investigating the failure mode of fused deposition modeling (FDM) fabricated parts by using acoustic emission (AE) technique.

Considering the special prototyping way of FDM, the failure modes of FDM-fabricated parts were investigated experimentally. One test was carried out and the other two describe what has been observed on this basis. Acoustic emissions are obtained during the tensile process. AE features of peak frequency, energy and amplitude are extracted and preliminarily analyzed. Then, the unsupervised clustering method of k-means is applied to explore the relationship between the failure modes and the AE signals.

Failure modes of filament debonding and breakage can be successfully recognized by the pattern recognition technique of k-means.

The results obtained can help us understand the failure process of FDM printed parts. This will provide an available monitoring method in the application of FDM-fabricated parts.

This paper has investigated and characterized the failure modes of FDM fabricated parts for the first time.

Statistical Process Control (SPC) is recognized as one of the most important tool of quality control (QC), an is one research focus in order to implement SPC quickly and effectively using computer technology and network environments. This paper proposes the principle and topology of embedded SPC based on the Internet/Intranet, emphatically discusses the embedded data sampling block, embedded network interface and SPC strategy. An example of application is given.

This study aims to understand the epistemic foundation of the classification applied in the first Chinese library catalogue, the Seven Epitomes (Qilue).

Originating from a theoretical stance that situates knowledge organization in its social context, the study applies a multifaceted framework pertaining to five categories of textual data: the Seven Epitomes; biographical information about the classificationist Liu Xin; and the relevant intellectual, political, and technological history.

The study discovers seven principles contributing to the epistemic foundation of the catalogue's classification: the Han imperial library collection imposed as the literary warrant; government functions considered for structuring texts; classicist morality determining the main classificatory structure; knowledge perceived and organized as a unity; objects, rather than subjects, of concern affecting categories at the main class level; correlative thinking connecting all text categories to a supreme knowledge embodied by the Six Classics; and classicist moral values resulting in both vertical and horizontal hierarchies among categories as well as texts.

A major limitation of the study is its focus on the main classes, with limited attention to subclasses. Future research can extend the analysis to examine subclasses of the same scheme. Findings from these studies may lead to a comparison between the epistemic approach in the target classification and the analytic one common in today's bibliographic classification.

The study is the first to examine in depth the epistemic foundation of traditional Chinese bibliographic classification, anchoring the classification in its appropriate social and historical context.

Few reports considering drug use among earthquake survivors exist. The present study aims to examine the Bam earthquake's impact on prescribing patterns and drug use among residents five years post‐disaster.

In this study, 297,104 prescriptions, issued by general practitioners in Bam city in 2008, were investigated for drugs/prescriptions, drug name, drug category, using WHO appropriate general practice prescribing indicators.

Mean drugs per prescription was 3.1. Drugs affecting the central nervous system were the most frequently used among Bam residents, representing 25.1 per cent, followed by antimicrobials, respiratory, cardiovascular and gastrointestinal tract drugs. Benzodiazepines were the most frequently used central nervous system drugs (15.8 per cent) followed by narcotic analgesics and tricyclic antidepressants. Penicillins (6.4 per cent) and cephalosporines (2.3 per cent) were the most frequently used antimicrobial drugs.

Results emphasize increased drug use for psychological disturbances and the need for strategies to improve mental health among disaster survivors.

As a crucial element of city planning, an adequately planned logistics center for agricultural products can improve the circulation efficiency of agricultural products, thereby contributing to a convenient lifestyle of urban residents. First, this study analyzed the functional zones of urban green logistics centers for agricultural products based on low-carbon idea. A method was also proposed to calculate the area of each functional zone. Moreover, this study proposed a layout planning innovation method of urban green logistics centers for agricultural products based on logistics motion line analysis and logistics intensity calculation. Lastly, this study analyzed the application processes of the layout planning methodology according to the topographical conditions of Huai’an logistics center project case in China. Results of the case study show that the construction innovation method proposed in this study is scientific, reasonable, and practical. The construction innovation method can be also used for the planning and designing of similar urban logistics centers.

This study aims to present a systematic review on service quality in higher education. It discusses about the latest opportunities and challenges facing higher educational institutions (HEIs) following the outbreak of the coronavirus (COVID-19) pandemic.

The study relied on the grounded theory’s inductive reasoning to capture, analyze and synthesize the findings from academic and non-academic sources. The methodology involved a systematic review from Scopus-indexed journals, from intergovernmental and non-governmental policy documents, as well as from university ranking sites and league tables.

The comprehensive review suggests that HEIs can use different performance indicators and metrics to evaluate their service quality in terms of their resources, student-centered education, high-impact research and stakeholder engagement. Moreover, this paper sheds light about the impact of an unprecedented COVID-19 on higher education services.

During the first wave of COVID-19, the delivery of higher educational services migrated from traditional and blended learning approaches to fully virtual and remote course delivery. In the second wave, policy makers imposed a number of preventative measures, including social distancing and hygienic practices, among others, on HEIs.

This timely contribution has synthesized the findings on service quality and performance management in the higher education context. Furthermore, it investigated the effect of COVID-19 on higher education services. It deliberates on the challenges and responses in the short/medium term and provides a discussion on the way forward. In conclusion, it implies that HEI leaders ought to embrace online teaching models and virtual systems, as they are here to stay in a post-COVID-19 era.

The purpose of this paper is to critique and evaluate need-driven dementia compromised behavior theory and the health behavioral model using Meleis’ (2010) criteria of theory evaluation.

Theory critique using Meleis’ (2010) criteria of theory evaluation.

This paper provides a conclusion about each theory in terms of agitation in the elderly. Meleis’s (2010) criteria will be used for both theories to evaluate different components such as the relationship between structure and function, diagram of the theory, circle of the contagiousness, usefulness and external components.

The critique of the two theories broadened the nurses’ understanding of the connection between the NDB model and the behavior symptoms, including agitation and its related issues. Further studies need to be conducted to shed light on the other aspects of the behavioral symptoms in elderly with dementia that supports the results of this study, like its specific causes, trigger factors and other intervention strategies. Nurses should be able not only to understand the patient’s behavior symptoms but also to decode them into communication signals to meet their needs in a more effective way.

The study aims to help epidemiologists identify new patterns and trends in spreading infections on the example of the current coronavirus disease 2019 (COVID-19) pandemic using data from search engines. The study identified the types of thematic search of Russian Internet users and queries that have a mathematically confirmed correlation with public health indicators: mortality and morbidity from COVID-19. The study aims to determine digital epidemiology search trends to the current COVID-19 pandemic. The study identified the types of thematic search of RuNet users and queries that have a mathematically confirmed correlation with public health indicators: mortality and morbidity from COVID-19.

The authors explored two types of data: (1) the monthly datasets of keywords relevant to COVID-19 extracted from the Yandex search engine and (2) officially published statistics data. Alongside, the authors searched for associations between all variables in this dataset. The Benjamin–Hochberg correction for multiple hypothesis testing was applied to the obtained results to improve the reliability of the results. The authors built a unique website with opportunities to update datasets and designed dashboards to visualize the research outcomes using PHP and Python.

The research results show the number of significant relationships that the authors interpreted in epidemiology as a new instrument in Public Health research. There are 132 data combinations with a correlation higher than 75%, making it possible to determine a mathematically reliable relationship between search statistics trends and mortality/morbidity indicators. The most statistically significant effects identified in bundles “query” – “query”, “query” – “morbidity”, “query” – “mortality”.

The authors developed a new approach in analyzing outbreaks of infections and their consequences based on a comprehensive analysis of epidemiological and infodemic data. The research results are relevant to public health as other decision-making and situational analysis tools for citizens and specialists who want to receive additional confirmation for the indicators of the official statistics of the headquarters for control and monitoring of the situation with coronavirus and others infections.

This paper aims to compare the prevalence of metabolic syndrome (MetS) on the basis of three criteria. The diagnostic criteria adopted were those of the International Diabetes Federation, the National Cholesterol Education Program – Adult Treatment Panel III and the American Heart Association/National Heart, Lung and Blood Institute..

A transversal study was undertaken with 691 university students in Fortaleza, Brazil, in 2011-2013.

The prevalence of MetS varied considerably according to the criteria used, it being 4.1 per cent for the IDF, 0.7 per cent for the NCEP ATPIII and 1.7 per cent for the revised NCEP ATPIII. The criteria of the IDF presented reasonable agreement in relation to the NCEP ATP III (0.294) and revised NCEP ATP III (0.334). Moderate agreement was found between the NCEP ATPIII/revised NCEP ATPIII.

There is a need for a universal diagnostic criterion for MetS to obtain uniform and more reliable data for the elaboration of public health policies.

The purpose of this article is to present a sick building syndrome (SBS) survey in open‐plan offices. The design factors (indoor plants, workstation partitions, and operable windows) that predict SBS were described for architects and interior designers, and the indoor environmental characteristics (thermal comfort, air quality, noise and lighting) that contribute to SBS symptoms were also investigated.

This study used a standard Building Use Studies (BUS) questionnaire that included sick building syndrome symptoms, environmental satisfaction and perception, and background information about the respondents and their office space. The questionnaire was conducted in 30 offices of building‐related professionals in Hong Kong. There were 469 Chinese office workers that participated.

Indoor plants and operable windows were related to a reduction of SBS symptoms; while workstation partitions did not affect the incidence of SBS symptoms. There were fewer sick building syndrome symptoms reported in the more satisfied respondents.

This study highlights a perception‐based solution for facilities design and management.