Is Exposure to PM2.5 and PM10, a Factor of Surge of 2nd Wave of COVID-19- A Case Study of Delhi, India?

2022 ◽

Keyword(s):

Abstract The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

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SYSTEMATIC REVIEW: EFEKTIFITAS METODE HANDOVER DALAM MENINGKATKAN KOMUNIKASI PERAWAT

10.31227/osf.io/6h8fa ◽

2017 ◽

Author(s):

Hani Tuasikal

Keyword(s):

Systematic Review ◽

Data Base ◽

Full Text ◽

Advanced Search ◽

Google Search

Latar belakang: Pelaksanaan handover di RS berkiatan erat dengan dengan peran perawat dalam menggunakan metode pada saat pergantian shift. Oleh karena itu, untuk meningkatkan komunikasi diantara perawat dibutuhkan metode-metode yang efektif dalam metode-melakukan handover. Adapun metode yang digunakan adalah verbal, dengan catatan, melalui telepon dan SBAR. Metode: Penelusuran literature data base dari EBSCO, sciendirect, google search dan PubMed dari tahun 2005-2015 dilakukan menggunakan advanced search keyword yang dipilih dalam pencarian adalah handover communication, patien savety. Pencarian dibatasi pada tahun 2005-2015, full text, dan harus yang berbahasa inggris. Setelah dilakukan search ditemukan 171 artikel pada sciendirect, 23 artikel pada PubMed, dan 32 artikel pada ebscho dan yang sesuai dengan kriteria inklusi adalah 6 artikel. 6 artikel tersebut sesuai dengan kriteria study yaitu RCTs, Cohor, Case Study dan Systematic Review. Responden dalam artikel ini adalah perawat yang melakukan handover. Intervensi yang dilakukan adalah metode-metode handover. Outcome meningkatkan komunikasi antar perawat. Hasil: temuan berupa 6 artikel hasil pembahasan menunjukan bahwa metode handover dengan SBAR sangat efektif untuk meningkatkan komunikasi antar perawat. Kesimpulan: Metode SBAR sangat efektif digunakan dalam handover. Dengan metode ini, dapat mengoptimalkan komunikasi antar perawat dalam melakukan handover di setiap pergantian shif.

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Spatio-Temporal Characteristics and Variation Pattern of the Atmospheric Particulate Matter Concentration: A Case Study of the Beijing–Tianjin–Hebei Region, China

Atmosphere ◽

10.3390/atmos13010120 ◽

2022 ◽

Vol 13 (1) ◽

pp. 120

Author(s):

Haoran Zhai ◽

Jiaqi Yao ◽

Guanghui Wang ◽

Xinming Tang

Keyword(s):

Particulate Matter ◽

Measurement Data ◽

Atmospheric Particulate Matter ◽

Temporal Characteristics ◽

Double Peaks ◽

Spatio Temporal ◽

Pm2.5 And Pm10 ◽

Air Quality Monitoring Stations ◽

Matter Concentration

Based on measurement data from air quality monitoring stations, the spatio-temporal characteristics of the concentrations of particles with aerodynamic equivalent diameters smaller than 2.5 and 10 μm (PM2.5 and PM10, respectively) in the Beijing–Tianjin–Hebei (BTH) region from 2015 to 2018 were analysed at yearly, seasonal, monthly, daily and hourly scales. The results indicated that (1) from 2015 to 2018, the annual average values of PM2.5 and PM10 concentrations and the PM2.5/PM10 ratio in the study area decreased each year; (2) the particulate matter (PM) concentration in winter was significantly higher than that in summer, and the PM2.5/PM10 ratio was highest in winter and lowest in spring; (3) the PM2.5 and PM10 concentrations exhibited a pattern of double peaks and valleys throughout the day, reaching peak values at night and in the morning and valleys in the morning and afternoon; and (4) with the use of an improved sine function to simulate the change trend of the monthly mean PM concentration, the fitting R2 values for PM2.5 and PM10 in the whole study area were 0.74 and 0.58, respectively. Moreover, the high-value duration was shorter, the low-value duration was longer, and the concentration decrease rate was slower than the increase rate.

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The recipes of Philosophy of Science: Characterizing the semantic structure of corpora by means of topic associative rules

PLoS ONE ◽

10.1371/journal.pone.0242353 ◽

2020 ◽

Vol 15 (11) ◽

pp. e0242353

Author(s):

Christophe Malaterre ◽

Jean-François Chartier ◽

Francis Lareau

Keyword(s):

Philosophy Of Science ◽

Full Text ◽

Topic Modeling ◽

Semantic Content ◽

Semantic Structure ◽

Language Generation ◽

Topological Features ◽

Text Content ◽

F Measure

Scientific articles have semantic contents that are usually quite specific to their disciplinary origins. To characterize such semantic contents, topic-modeling algorithms make it possible to identify topics that run throughout corpora. However, they remain limited when it comes to investigating the extent to which topics are jointly used together in specific documents and form particular associative patterns. Here, we propose to characterize such patterns through the identification of “topic associative rules” that describe how topics are associated within given sets of documents. As a case study, we use a corpus from a subfield of the humanities—the philosophy of science—consisting of the complete full-text content of one of its main journals: Philosophy of Science. On the basis of a pre-existing topic modeling, we develop a methodology with which we infer a set of 96 topic associative rules that characterize specific types of articles depending on how these articles combine topics in peculiar patterns. Such rules offer a finer-grained window onto the semantic content of the corpus and can be interpreted as “topical recipes” for distinct types of philosophy of science articles. Examining rule networks and rule predictive success for different article types, we find a positive correlation between topological features of rule networks (connectivity) and the reliability of rule predictions (as summarized by the F-measure). Topic associative rules thereby not only contribute to characterizing the semantic contents of corpora at a finer granularity than topic modeling, but may also help to classify documents or identify document types, for instance to improve natural language generation processes.

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Task design and assignment of full-text generation on mass Chinese historical archives in digital humanities

Aslib Journal of Information Management ◽

10.1108/ajim-09-2019-0245 ◽

2020 ◽

Vol 72 (2) ◽

pp. 262-286

Author(s):

Jihong Liang ◽

Hao Wang ◽

Xiaojing Li

Keyword(s):

Full Text ◽

Character Recognition ◽

Digital Humanities ◽

Task Design ◽

Text Generation ◽

Content Type ◽

Historical Archives ◽

Archival Documents ◽

Effective Design

PurposeThe purpose of this paper is to explore the task design and assignment of full-text generation on mass Chinese historical archives (CHAs) by crowdsourcing, with special attention paid to how to best divide full-text generation tasks into smaller ones assigned to crowdsourced volunteers and to improve the digitization of mass CHAs and the data-oriented processing of the digital humanities.Design/methodology/approachThis paper starts from the complexities of character recognition of mass CHAs, takes Sheng Xuanhuai archives crowdsourcing project of Shanghai Library as a case study, and makes use of the theories of archival science, including diplomatics of Chinese archival documents, and the historical approach of Chinese archival traditions as the theoretical basis and analysis methods. The results are generated through the comprehensive research.FindingsThis paper points out that volunteer tasks of full-text generation include transcription, punctuation, proofreading, metadata description, segmentation, and attribute annotation in digital humanities and provides a metadata element set for volunteers to use in creating or revising metadata descriptions and also provides an attribute tag set. The two sets can be used across the humanities to construct overall observations about texts and the archives of which they are a part. Along these lines, this paper presents significant insights for application in outlining the principles, methods, activities, and procedures of crowdsourced full-text generation for mass CHAs.Originality/valueThis study is the first to explore and identify the effective design and allocation of tasks for crowdsourced volunteers completing full-text generation on CHAs in digital humanities.

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Climate Change, Tourism and Livelihood: A case Study of Manaslu Region of Nepal

Journal of Agriculture and Environment ◽

10.3126/aej.v20i0.25047 ◽

2019 ◽

Vol 20 ◽

pp. 152-172

Author(s):

L. K. Shrestha ◽

T. P. Devkota

Keyword(s):

Climate Change ◽

Full Text

Available with full text.

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Degree nursing at the University of Fort Hare- A descriptive case study

Health SA Gesondheid ◽

10.4102/hsag.v3i1.342 ◽

1998 ◽

Vol 3 (1) ◽

pp. 24-29

Author(s):

Leigh Evertse

Keyword(s):

Nursing Education ◽

Full Text ◽

Education And Training ◽

Descriptive Case Study ◽

University Of Fort Hare ◽

The University ◽

Graduate Nursing ◽

And Training

This case study traces and records the background to the introduction of graduate nursing education and training within the Ciskei.OpsommingIn hierdie studie word die inleiding van graad verpleegkunde opieiding binne Ciskei nagevors en opgeteken. *Please note: This is a reduced version of the abstract. Please refer to PDF for full text.

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Investigating the influence of meteorological factors on particulate matters: A case study based on path analysis

Energy & Environment ◽

10.1177/0958305x19876696 ◽

2019 ◽

Vol 31 (3) ◽

pp. 479-491

Author(s):

Ya-Gao Qin ◽

Chen Yi ◽

Guo-Liu Dong ◽

Jian-Zhang Min

Keyword(s):

Path Analysis ◽

Meteorological Factors ◽

Atmospheric Temperature ◽

Particulate Matters ◽

Analysis Method ◽

Absolute Value ◽

Pm2.5 And Pm10 ◽

The Impact ◽

Main Influence

The meteorological factors play an important role to influence the concentration of the particulate matters. The path analysis method is employed to investigate the influence of meteorological factors (including atmospheric temperature ( AT), relative humidity ( RH), and wind speed ( WS)) on particulate matters (including PM2.5 and PM10) in Dazhou city. The following results are obtained: (1) The direct path coefficients of AT, RH, and WS to PM2.5 and PM10 are all negative, which means that the concentration of particulate matters would be declined following with the increasing of AT, RH, and WS. (2) The meteorological factors would explain about 17.43 and 16.52% variance of PM2.5 and PM10, respectively. However, 82.57% variance of PM2.5 and 83.48% variance of PM10 would be determined by non-meteorological factors. (3) AT and WS are the most important meteorological factors to modulate the concentration of particulate matters. AT would explain 12.73 and 8.78% variance of PM2.5 and PM10, respectively. WS would explain 6.54 and 8.69% variance of PM2.5 and PM10, respectively. (4) According to the absolute value of the determination coefficients, the main influence on the concentration of PM2.5 is the direct influence by AT and the impact on the concentration of PM10 is by the combined contribution of meteorological factors.

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The Impact of Systematic Review Automation Tools on Methodological Quality and Time Taken to Complete Systematic Review Tasks: Case Study

JMIR Medical Education ◽

10.2196/24418 ◽

2021 ◽

Vol 7 (2) ◽

pp. e24418

Author(s):

Justin Clark ◽

Catherine McFarlane ◽

Gina Cleo ◽

Christiane Ishikawa Ramos ◽

Skye Marshall

Keyword(s):

Systematic Review ◽

Error Rate ◽

Full Text ◽

Methodological Quality ◽

Error Rates ◽

Level Of Evidence ◽

The Difference ◽

Time Required ◽

The Impact

Background Systematic reviews (SRs) are considered the highest level of evidence to answer research questions; however, they are time and resource intensive. Objective When comparing SR tasks done manually, using standard methods, versus those same SR tasks done using automated tools, (1) what is the difference in time to complete the SR task and (2) what is the impact on the error rate of the SR task? Methods A case study compared specific tasks done during the conduct of an SR on prebiotic, probiotic, and synbiotic supplementation in chronic kidney disease. Two participants (manual team) conducted the SR using current methods, comprising a total of 16 tasks. Another two participants (automation team) conducted the tasks where a systematic review automation (SRA) tool was available, comprising of a total of six tasks. The time taken and error rate of the six tasks that were completed by both teams were compared. Results The approximate time for the manual team to produce a draft of the background, methods, and results sections of the SR was 126 hours. For the six tasks in which times were compared, the manual team spent 2493 minutes (42 hours) on the tasks, compared to 708 minutes (12 hours) spent by the automation team. The manual team had a higher error rate in two of the six tasks—regarding Task 5: Run the systematic search, the manual team made eight errors versus three errors made by the automation team; regarding Task 12: Assess the risk of bias, 25 assessments differed from a reference standard for the manual team compared to 20 differences for the automation team. The manual team had a lower error rate in one of the six tasks—regarding Task 6: Deduplicate search results, the manual team removed one unique study and missed zero duplicates versus the automation team who removed two unique studies and missed seven duplicates. Error rates were similar for the two remaining compared tasks—regarding Task 7: Screen the titles and abstracts and Task 9: Screen the full text, zero relevant studies were excluded by both teams. One task could not be compared between groups—Task 8: Find the full text. Conclusions For the majority of SR tasks where an SRA tool was used, the time required to complete that task was reduced for novice researchers while methodological quality was maintained.

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