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Fulltext Validity and reliability of an adapted questionnaire measuring knowledge, awareness and practice regarding familial hypercholesterolaemia among primary care physicians in Malaysia

Azraii AB, Ramli AS, Ismail Z, Abdul-Razak S, Badlishah-Sham SF, Mohd-Kasim NA, et al.

BMC Cardiovasc Disord, 2021 01 19;21(1):39.
PMID: 33468051 DOI: 10.1186/s12872-020-01845-y

BACKGROUND: Primary care physicians (PCP) play an important role in detecting Familial Hypercholesterolaemia (FH) early. However, knowledge, awareness and practice (KAP) regarding FH among Malaysian PCP are not well established, and there was no validated tool to assess their FH KAP. Thus, the aim of this study was to adapt an FH KAP questionnaire and determine its validity and reliability among Malaysian PCP.
METHODS: This cross-sectional validation study involved Malaysian PCP with ≥ 1-year work experience in the primary care settings. In Phase 1, the original 19-item FH KAP questionnaire underwent content validation and adaptation by 7 experts. The questionnaire was then converted into an online survey instrument and was face validated by 10 PCP. In Phase 2, the adapted questionnaire was disseminated through e-mail to 1500 PCP. Data were collected on their KAP, demography, qualification and work experience. The construct validity was tested using known-groups validation method. The hypothesis was PCP holding postgraduate qualification (PCP-PG-Qual) would have better FH KAP compared with PCP without postgraduate qualification (PCP-noPG-Qual). Internal consistency reliability was calculated using Kuder Richardson formula-20 (KR-20) and test-retest reliability was tested on 26 PCP using kappa statistics.
RESULTS: During content validation and adaptation, 10 items remained unchanged, 8 items were modified, 1 item was moved to demography and 7 items were added. The adapted questionnaire consisted of 25 items (11 knowledge, 5 awareness and 9 practice items). A total of 130 out of 1500 PCP (response rate: 8.7%) completed the questionnaire. The mean percentage knowledge score was found to be significantly higher in PCP-PG-Qual compared with PCP-noPG-Qual (53.5, SD ± 13.9 vs. 35.9, SD ± 11.79), t(128) = 6.90, p

Matched MeSH terms: Research Design
Fulltext Global, regional, and national trends and patterns in physical activity research since 1950: a systematic review

Ramírez Varela A, Cruz GIN, Hallal P, Blumenberg C, da Silva SG, Salvo D, et al.

Int J Behav Nutr Phys Act, 2021 01 07;18(1):5.
PMID: 33413479 DOI: 10.1186/s12966-020-01071-x

BACKGROUND: National, regional and global scientific production and research capacity for physical activity - PA may contribute to improving public health PA policies and programs. There is an uneven distribution of research productivity by region and country income group, where countries with the highest burden of non-communicable diseases attributable to physical inactivity having low research productivity. A first step towards improving global research capacity is to objectively quantify patterns, trends, and gaps in PA research. This study describes national, regional and global trends and patterns of PA research from 1950 to 2019.
METHODS: A systematic review using searches in PubMed, SCOPUS and ISI Web of Knowledge databases was conducted in August 2017 and updated between January and May 2020. The review was registered at the PROSPERO database number CRD42017070153. PA publications per 100,000 inhabitants per country was the main variable of interest. Descriptive and time-trend analyses were conducted in STATA version 16.0.
RESULTS: The search retrieved 555,468 articles of which 75,756 were duplicates, leaving 479,712 eligible articles. After reviewing inclusion and exclusion criteria, 23,860 were eligible for data extraction. Eighty-one percent of countries (n = 176) had at least one PA publication. The overall worldwide publication rate in the PA field was 0.46 articles per 100,000 inhabitants. Europe had the highest rate (1.44 articles per 100,000 inhabitants) and South East Asia had the lowest (0.04 articles per 100,000 inhabitants). A more than a 50-fold difference in publications per 100,000 inhabitants was identified between high and low-income countries. The least productive and poorest regions have rates resembling previous decades of the most productive and the richest.
CONCLUSION: This study showed an increasing number of publications over the last 60 years with a growing number of disciplines and research methods over time. However, striking inequities were revealed and the knowledge gap across geographic regions and by country income groups was substantial over time. The need for regular global surveillance of PA research, particularly in countries with the largest data gaps is clear. A focus on the public health impact and global equity of research will be an important contribution to making the world more active.

Matched MeSH terms: Research Design
Fulltext Stability analysis and optimal control of covid-19 with convex incidence rate in Khyber Pakhtunkhawa (Pakistan)

Khan A, Zarin R, Hussain G, Ahmad NA, Mohd MH, Yusuf A

Results Phys, 2021 Jan;20:103703.
PMID: 33520623 DOI: 10.1016/j.rinp.2020.103703

The dynamic of covid-19 epidemic model with a convex incidence rate is studied in this article. First, we formulate the model without control and study all the basic properties and results including local and global stability. We show the global stability of disease free equilibrium using the method of Lyapunov function theory while for disease endemic, we use the method of geometrical approach. Furthermore, we develop a model with suitable optimal control strategies. Our aim is to minimize the infection in the host population. In order to do this, we use two control variables. Moreover, sensitivity analysis complemented by simulations are performed to determine how changes in parameters affect the dynamical behavior of the system. Taking into account the central manifold theory the bifurcation analysis is also incorporated. The numerical simulations are performed in order to show the feasibility of the control strategy and effectiveness of the theoretical results.

Matched MeSH terms: Research Design
Protein decomplexation and proteomics: A complementary assessment method of the physicochemical purity of antivenom

Tan CH, Liew JL, Chong HP, Tan NH

Biologicals, 2021 Jan;69:22-29.
PMID: 33431232 DOI: 10.1016/j.biologicals.2020.12.004

The quality of antivenom is governed by its safety and efficacy profiles. These quality characteristics are much influenced by the purity of antivenom content. Rigorous assessment and meticulous monitoring of antivenom purity at the preclinical setting is hence crucial. This study aimed to explore an integrative proteomic method to assess the physicochemical purity of four commercially available antivenoms in the region. The antivenoms were subjected to Superdex 200 HR 10/30 size-exclusion fast-protein liquid chromatography (SE-FPLC). The proteins in each fraction were trypsin-digested and analyzed by nano-ESI-liquid chromatography-tandem mass spectrometry (LC-MS/MS). SE-FPLC resolved the antivenom proteins into three major protein components of very high (>200 kDa), high (100-120 kDa) and medium (<60 kDa) molecular weights. The major components (80-95% of total proteins) in the antivenoms were proteins of 100-120 kDa consisting of mainly the light and partially digested heavy immunoglobulin chains, consistent with F(ab')2 as the active principle of the antivenoms. However, LC-MS/MS also detected substantial quantity of large proteins (e.g. alpha-2-macroglobulins), immunoglobulin aggregates and impurities e.g. albumins in some products. The method is practical and able to unveil the quantitative and qualitative aspects of antivenom protein compositions. It is therefore a potentially useful preclinical assessment tool of antivenom purity.

Matched MeSH terms: Research Design
Fulltext The Influence of Person-Environment Fit on the Turnover Intention of Nurses in Jordan: The Moderating Effect of Psychological Empowerment

Amarneh S, Raza A, Matloob S, Alharbi RK, Abbasi MA

Nurs Res Pract, 2021;2021:6688603.
PMID: 33815841 DOI: 10.1155/2021/6688603

There is an acute shortage of nurses worldwide, including in Jordan. The nursing shortage is considered to be a crucial and complex challenge across healthcare systems and has stretched to a warning threshold. High turnover among nurses in Jordan is an enduring problem and is believed to be the foremost cause of the nurse shortage. The purpose of this study was to investigate the multidimensional impact of the person-environment (P-E) fit on the job satisfaction (JS) and turnover intention (TI) of registered nurses. The moderating effect of psychological empowerment (PE) on the relationship between JS and TI was also investigated. Based on a quantitative research design, data were collected purposively from 383 registered nurses working at private Jordanian hospitals through self-administered structured questionnaires. Statistical Package for Social Sciences (SPSS) 25 and Smart Partial Least Squares (PLS) 3.2.8 were used to analyze the statistical data. The results showed that there is a significant relationship between person-job fit (P-J fit), person-supervisor fit (P-S fit), and JS. However, this study found an insignificant relationship between person-organization fit (P-O fit) and JS. Moreover, PE was also significantly moderate between JS and TI of nurses. This study offers an important policy intervention that helps healthcare organizations to understand the enduring issue of nurse turnover. Additionally, policy recommendations to mitigate nurse turnover in Jordan are outlined.

Matched MeSH terms: Research Design
Fulltext FNG-IE: an improved graph-based method for keyword extraction from scholarly big-data

Tahir N, Asif M, Ahmad S, Malik MSA, Aljuaid H, Butt MA, et al.

PeerJ Comput Sci, 2021;7:e389.
PMID: 33817035 DOI: 10.7717/peerj-cs.389

Keyword extraction is essential in determining influenced keywords from huge documents as the research repositories are becoming massive in volume day by day. The research community is drowning in data and starving for information. The keywords are the words that describe the theme of the whole document in a precise way by consisting of just a few words. Furthermore, many state-of-the-art approaches are available for keyword extraction from a huge collection of documents and are classified into three types, the statistical approaches, machine learning, and graph-based methods. The machine learning approaches require a large training dataset that needs to be developed manually by domain experts, which sometimes is difficult to produce while determining influenced keywords. However, this research focused on enhancing state-of-the-art graph-based methods to extract keywords when the training dataset is unavailable. This research first converted the handcrafted dataset, collected from impact factor journals into n-grams combinations, ranging from unigram to pentagram and also enhanced traditional graph-based approaches. The experiment was conducted on a handcrafted dataset, and all methods were applied on it. Domain experts performed the user study to evaluate the results. The results were observed from every method and were evaluated with the user study using precision, recall and f-measure as evaluation matrices. The results showed that the proposed method (FNG-IE) performed well and scored near the machine learning approaches score.

Matched MeSH terms: Research Design
Fulltext Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer

Rahman MA, Muniyandi RC, Albashish D, Rahman MM, Usman OL

PeerJ Comput Sci, 2021;7:e344.
PMID: 33816995 DOI: 10.7717/peerj-cs.344

Artificial neural networks (ANN) perform well in real-world classification problems. In this paper, a robust classification model using ANN was constructed to enhance the accuracy of breast cancer classification. The Taguchi method was used to determine the suitable number of neurons in a single hidden layer of the ANN. The selection of a suitable number of neurons helps to solve the overfitting problem by affecting the classification performance of an ANN. With this, a robust classification model was then built for breast cancer classification. Based on the Taguchi method results, the suitable number of neurons selected for the hidden layer in this study is 15, which was used for the training of the proposed ANN model. The developed model was benchmarked upon the Wisconsin Diagnostic Breast Cancer Dataset, popularly known as the UCI dataset. Finally, the proposed model was compared with seven other existing classification models, and it was confirmed that the model in this study had the best accuracy at breast cancer classification, at 98.8%. This confirmed that the proposed model significantly improved performance.

Matched MeSH terms: Research Design
Fulltext CABARAN PEKERJA SOSIAL DALAM MENGENDALIKAN PENGURUSAN KES PENDERAAN KANAK-KANAK DI TASKA

NANTHINI RAMALINGAM, KHADIJAH ALAVI

UMT Journal of Undergraduate Research, 2021;3(1):99-100.
MyJurnal

Peningkatan kes penderaan kanak-kanak sehingga kematian kanak-kanak amat membimbangkan keluarga dan masyarakat. Artikel ini akan membahaskan tentang cabaran pekerja sosial dalam melindungi penderaan kanak-kanak di taska. Kajian lepas amat kurang mengkaji isu penderaan kanak-kanak di taska. Kajian ini dijalankan dengan menggunakan pendekatan kualitatif berpandukan kajian fenomenologi. Teknik pengumpulan data kajian melalui temubual berstruktur secara bertulis. 6 orang informan terdiri daripada pekerja sosial telah dipilih bagi kajian ini dengan menggunakan teknik persampelan bertujuan (purposive sampling). Lokasi kajian yang dipilih ialah taska sekitar Bandar Baru Bangi. Data temubual berstruktur dianalisis secara tematik dan hasil kajian mendapati terdapat tiga cabaran utama iaitu pertama praktis kerja sosial, konflik profesion dan kemahiran dalam mengendalikan pengurusan kes penderaan kanak-kanak. Implikasi kajian ini mencadangkan program kaunseling individu dan kelompok kepada pekerja sosial dan penting meningkatkan latihan dalam kemahiran mengendalikan pengurusan kes penderaan kanak-kanak yang semakin kompleks dan kritikal di masa depan.

Matched MeSH terms: Research Design
Fulltext ADAPTIVE TIME-STEPPING FOR RUNGE-KUTTA METHODS FOR ORDINARY DIFFERENTIAL EQUATIONS

CHUA KAH WAI, LOY KAK CHOON, RUWAIDIAH IDRIS

UMT Journal of Undergraduate Research, 2021;3(1):25-36.
MyJurnal

Ordinary Differential Equations (ODEs) are usually used in numerous fields especially in solving the modelling problem. Numerical methods are one of the vital mathematical tools to solve the ODEs that appear in various modelling problems by determining the approximation solution close to the in exact solution if it exists. Runge-Kutta methods (RK) are the numerical methods used to integrate the ODEs by applying multistage methods at the midpoint of an interval which can efficiently produce a more accurate result or small magnitude of error. We proposed Runge-Kutta methods (RK) to solve the 1st_ order nonlinear stiff ODEs. The RK methods used in this research are known as the RK-2, RK-4, and RK-5 methods. We proved the existence and uniqueness of the ODEs before we solved it numerically. We also proved the absolute-stability of the RK methods to determine the overall stability of these methods. We found two suitable test cases which are the standard test problem and manufactured solution. We proved that by combining the adaptive step size with RK methods can result in more efficient computation. We implemented the 2nd_, 4th_ and 5th_ order of RK methods with step size adaptively algorithm to solve the test problem and manufactured solution via Octave programming language. The resulting numerical error and the stability of each method can be studied. We compared our results using several error plots versus the Central Processing Unit (CPU) time required to compute a given nonlinear 1st_ order stiff ODE problem. In a conclusion, RK methods which combine with the adaptive step size can result in more efficient computation and accuracy compare with the fixed step size RK methods.

Matched MeSH terms: Research Design
Fulltext Immunomodulatory Effects and Mechanisms of Curcuma Species and Their Bioactive Compounds: A Review

Yuandani, Jantan I, Rohani AS, Sumantri IB

Front Pharmacol, 2021;12:643119.
PMID: 33995049 DOI: 10.3389/fphar.2021.643119

Curcuma species (family: Zingiberaceae) are widely utilized in traditional medicine to treat diverse immune-related disorders. There have been many scientific studies on their immunomodulating effects to support their ethnopharmacological uses. In this review, the efficacy of six Curcuma species, namely, C. longa L., C. zanthorrhiza Roxb., C. mangga Valeton & Zijp, C. aeruginosa Roxb. C. zedoaria (Christm.) Roscoe, and C. amada Roxb., and their bioactive metabolites to modulate the immune system, their mechanistic effects, and their potential to be developed into effective and safe immunomodulatory agents are highlighted. Literature search has been carried out extensively to gather significant findings on immunomodulating activities of these plants. The immunomodulatory effects of Curcuma species were critically analyzed, and future research strategies and appropriate perspectives on the plants as source of new immunomodulators were discussed. Most of the pharmacological investigations to evaluate their immunomodulatory effects were in vivo and in vitro experiments on the crude extracts of the plants. The extracts were not chemically characterized or standardized. Of all the Curcuma species investigated, the immunomodulatory effects of C. longa were the most studied. Most of the bioactive metabolites responsible for the immunomodulating activities were not determined, and mechanistic studies to understand the underlying mechanisms were scanty. There are limited clinical studies to confirm their efficacy in human. Of all the bioactive metabolites, only curcumin is undergoing extensive clinical trials based on its anti-inflammatory properties and main use as an adjuvant for the treatment of cancer. More in-depth studies to understand the underlying mechanisms using experimental in vivo animal models of immune-related disorders and elaborate bioavailability, preclinical pharmacokinetics, and toxicity studies are required before clinical trials can be pursued for development into immunomodulatory agents.

Matched MeSH terms: Research Design
Fulltext REVIEW ON EXTRACTION METHODS OF ESSENTIAL OIL FROM KAFFIR LIME (Citrus hystrix) LEAVES

Mazlin Mohideen, Mohamad Iqbal Hazmie Idris, Nor Syamimi Izzati Zainal Abidin, Nur Azzalia Kamaruzaman

Journal of Academia Universiti Teknologi MARA Negeri Sembilan, 2021;9(1):173-184.
MyJurnal

Kaffir lime or “limau purut” (Citrus hystrix) is a popular traditional herbal plant with aromatic leaves. It produces fruits which are commonly used in Asian cuisines as a flavouring agent. Essential oil has been a popular and valuable product applicable in various industries, but its availability is scarce. Essential oil from the leaves of Citrus hystrix is a complex mixture of volatile and semi-volatile compounds. It is rich in bioactive molecules that act synergistically to improve the well-being of an individual. Essential oil is extracted from Citrus hystrix leaves using a few extraction methods; however, the most excellent extraction methods have yet to be ascertained. This review paper highlights several extraction methods that determined the final yield of Citrus hystrix leaves’ essential oil and the comparison of advantages and disadvantages between each method. Two types of methods are discussed, which are conventional and modern methods. Conventional methods include hydro-distillation, steam distillation, Soxhlet distillation and solvent extraction, while the modern method includes pressurized liquid extraction (PLE). In addition, pre- treatment processes are also included as they can significantly affect the performance of other important processes and production yield. This paper also found that the highest yield of 56.16% was obtained using PLE method. Essentially, each of the extraction and pre-treatment methods has its own pros and cons; hence choosing a suitable method depends heavily on the producer's demand and requirement.

Matched MeSH terms: Research Design
Fulltext Cannabis sativa subsp. sativa's pharmacological properties and health effects: A scoping review of current evidence

Lim XY, Tan TYC, Muhd Rosli SH, Sa'at MNF, Sirdar Ali S, Syed Mohamed AF

PLoS One, 2021;16(1):e0245471.
PMID: 33465140 DOI: 10.1371/journal.pone.0245471

INTRODUCTION: Hemp (Cannabis sativa subsp. sativa), commonly used for industrial purposes, is now being consumed by the public for various health promoting effects. As popularity of hemp research and claims of beneficial effects rises, a systematic collection of current scientific evidence on hemp's health effects and pharmacological properties is needed to guide future research, clinical, and policy decision making.
OBJECTIVE: To provide an overview and identify the present landscape of hemp research topics, trends, and gaps.
METHODS: A systematic search and analysis strategy according to the preferred reporting items for systematic review and meta-analysis-ScR (PRISMA-ScR) checklist on electronic databases including MEDLINE, OVID (OVFT, APC Journal Club, EBM Reviews), Cochrane Library Central and Clinicaltrials.gov was conducted to include and analyse hemp research articles from 2009 to 2019.
RESULTS: 65 primary articles (18 clinical, 47 pre-clinical) were reviewed. Several randomised controlled trials showed hempseed pills (in Traditional Chinese Medicine formulation MaZiRenWan) improving spontaneous bowel movement in functional constipation. There was also evidence suggesting benefits in cannabis dependence, epilepsy, and anxiety disorders. Pre-clinically, hemp derivatives showed potential anti-oxidative, anti-hypertensive, anti-inflammatory, anti-diabetic, anti-neuroinflammatory, anti-arthritic, anti-acne, and anti-microbial activities. Renal protective effects and estrogenic properties were also exhibited in vitro.
CONCLUSION: Current evidence on hemp-specific interventions are still preliminary, with limited high quality clinical evidence for any specific therapeutic indication. This is mainly due to the wide variation in test item formulation, as the multiple variants of this plant differ in their phytochemical and bioactive compounds. Future empirical research should focus on standardising the hemp plant for pharmaceutical use, and uniformity in experimental designs to strengthen the premise of using hemp in medicine.

Matched MeSH terms: Research Design
Fulltext Crossover Analysis of the Astringent, Antimicrobial, and Anti-inflammatory Effects of Illicium verum/Star Anise in the Oral Cavity

Assiry AA, Karobari MI, Bhavikatti SK, Marya A

Biomed Res Int, 2021;2021:5510174.
PMID: 34195261 DOI: 10.1155/2021/5510174

Introduction: Illicium verum commonly known as star anise has been widely used in many Asian countries for pharmaceutical treatment for many diseases. The aim of the present study was to investigate the anti-inflammatory, astringent, and antimicrobial properties of an Illicium verum mouthwash.
Methods: The present double blinded randomized clinical trial was conducted on fifty subjects, divided into groups A and B. Illicium verum mouthwash (group A) and placebo (group B) were provided to subjects for 21 days; after 14 days, washout period mouthwashes were switched as per crossover design between groups for 21 days. The gingival index (GI), papillary bleeding index (PBI), and oral microbial count were recorded at each stage of study.
Results: The significant intragroup difference was observed, before crossover in group A and after crossover in group B for GI, PBI, and oral microbial count at different stages of study. On comparing both group A and group B at the first and second follow-up for GI, PBI, and oral microbial count, a statistically significant difference (p < 0.05) was observed. A statistically highly significant mean intergroup and intragroup difference was seen for all the clinical parameters at different stages of study.
Conclusion: The study revealed that the Illicium verum/star anise has potent antibacterial, anti-inflammatory, and astringent properties.

Matched MeSH terms: Research Design
Fulltext Research priorities to address the global burden of chronic obstructive pulmonary disease (COPD) in the next decade

Adeloye D, Agarwal D, Barnes PJ, Bonay M, van Boven JF, Bryant J, et al.

J Glob Health, 2021;11:15003.
PMID: 34737870 DOI: 10.7189/jogh.11.15003

Background: The global prevalence of chronic obstructive pulmonary disease (COPD) has increased markedly in recent decades. Given the scarcity of resources available to address global health challenges and respiratory medicine being relatively under-invested in, it is important to define research priorities for COPD globally. In this paper, we aim to identify a ranked set of COPD research priorities that need to be addressed in the next 10 years to substantially reduce the global impact of COPD.
Methods: We adapted the Child Health and Nutrition Research Initiative (CHNRI) methodology to identify global COPD research priorities.
Results: 62 experts contributed 230 research ideas, which were scored by 34 researchers according to six pre-defined criteria: answerability, effectiveness, feasibility, deliverability, burden reduction, and equity. The top-ranked research priority was the need for new effective strategies to support smoking cessation. Of the top 20 overall research priorities, six were focused on feasible and cost-effective pulmonary rehabilitation delivery and access, particularly in primary/community care and low-resource settings. Three of the top 10 overall priorities called for research on improved screening and accurate diagnostic methods for COPD in low-resource primary care settings. Further ideas that drew support involved a better understanding of risk factors for COPD, development of effective training programmes for health workers and physicians in low resource settings, and evaluation of novel interventions to encourage physical activity.
Conclusions: The experts agreed that the most pressing feasible research questions to address in the next decade for COPD reduction were on prevention, diagnosis and rehabilitation of COPD, especially in low resource settings. The largest gains should be expected in low- and middle-income countries (LMIC) settings, as the large majority of COPD deaths occur in those settings. Research priorities identified by this systematic international process should inform and motivate policymakers, funders, and researchers to support and conduct research to reduce the global burden of COPD.

Matched MeSH terms: Research Design
Fulltext An empirical study on Resource Description Framework reification for trustworthiness in knowledge graphs

Govindapillai S, Soon LK, Haw SC

F1000Res, 2021;10:881.
PMID: 34900233 DOI: 10.12688/f1000research.72843.2

Knowledge graph (KG) publishes machine-readable representation of knowledge on the Web. Structured data in the knowledge graph is published using Resource Description Framework (RDF) where knowledge is represented as a triple (subject, predicate, object). Due to the presence of erroneous, outdated or conflicting data in the knowledge graph, the quality of facts cannot be guaranteed. Trustworthiness of facts in knowledge graph can be enhanced by the addition of metadata like the source of information, location and time of the fact occurrence. Since RDF does not support metadata for providing provenance and contextualization, an alternate method, RDF reification is employed by most of the knowledge graphs. RDF reification increases the magnitude of data as several statements are required to represent a single fact. Another limitation for applications that uses provenance data like in the medical domain and in cyber security is that not all facts in these knowledge graphs are annotated with provenance data. In this paper, we have provided an overview of prominent reification approaches together with the analysis of popular, general knowledge graphs Wikidata and YAGO4 with regard to the representation of provenance and context data. Wikidata employs qualifiers to include metadata to facts, while YAGO4 collects metadata from Wikidata qualifiers. However, facts in Wikidata and YAGO4 can be fetched without using reification to cater for applications that do not require metadata. To the best of our knowledge, this is the first paper that investigates the method and the extent of metadata covered by two prominent KGs, Wikidata and YAGO4.

Matched MeSH terms: Research Design
Fulltext Endodontic Microbiology: A Bibliometric Analysis of the Top 50 Classics

Karobari MI, Maqbool M, Ahmad P, Abdul MSM, Marya A, Venugopal A, et al.

Biomed Res Int, 2021;2021:6657167.
PMID: 34746305 DOI: 10.1155/2021/6657167

Background: Citation analysis has emerged to play a significant role in recognition of the most useful areas of research. Endodontic microbiology has been a topic of interest for endodontists as well as periodontists and oral surgeons. This bibliometric analysis is aimed at identifying and reporting the characteristics of the top 50 cited articles on endodontic microbiology.
Methods: The articles were identified through a search on Web of Science (WoS), property of Clarivate Analytics database published on endodontic microbiology. The citation information of the selected articles was recorded. The Journal of Endodontics, International Endodontic Journal, Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology, Dental Traumatology, and Australian Endodontic Journal were searched in the search title. Descriptive and bivariate analyses were performed using a statistical software package SPSS. Statistical analysis was performed using Shapiro-Wilk, Kruskal-Wallis, Post hoc, Mann-Kendall trend, and Spearman-rank tests.
Results: The 50 most cited articles were published from 1965 to 2012 with citation count varying from 1065 to 103 times. The total citation counts of articles recorded were 11,525 (WoS), 12,602 (Elseviers' Scopus), and 28,871 (Google Scholar). The most prolific years in terms of publications were 2001, 2002, and 2003, with five publications each, followed by 2005 with four. The year with most citations was 1998, with 1,330 citations, followed by 1965 and 2001, with 1,065 and 1,015 citations, respectively. A total of 136 authors contributed to the top 50 most cited articles with 27 corresponding institutions from 12 different countries. The most common methodological design was in vitro study, followed by clinic-laboratory study, literature review, systematic review and meta-analysis, and animal study.
Conclusions: The present study provided a detailed list of the top 50 most cited and classic articles on microbiology in endodontics. This will help researchers, students, and clinicians in the field of endodontics as an impressive source of information.

Matched MeSH terms: Research Design
Fulltext A short comparative study on modified Duckworth-Lewis methods

Asif M, Ahmadian A, Azeem M, Pansera BA

PLoS One, 2021;16(11):e0259423.
PMID: 34748588 DOI: 10.1371/journal.pone.0259423

In this paper, the Duckworth-Lewis-Stern (DLS) and Duckworth-Lewis-McHale-Asif (DLMA) methods of revising targets for a team batting in second innings in an interrupted Limited Overs International Cricket (LOI), are examined for fairness. The work discusses four significant points: flexibility, intuition, simplicity, and goodness-of-fit of the two mentioned methods. The research findings have shown that the DLMA method is better in every aspect than the DLS method. Further, the data of 1764 ODI matches played during 2004-2021 to investigate the compatibility of the DLMA for high run-scoring One-Day International matches. The results show that DLMA is compatible to the situation of the well-above run-scoring situation.

Matched MeSH terms: Research Design
Fulltext Impact of sustainable project management on project plan and project success of the manufacturing firm: Structural model assessment

Chow TC, Zailani S, Rahman MK, Qiannan Z, Bhuiyan MA, Patwary AK

PLoS One, 2021;16(11):e0259819.
PMID: 34818357 DOI: 10.1371/journal.pone.0259819

This study has aimed to investigate the impact of sustainable project management on sustainable project planning and success in manufacturing firms. Data was collected from project management professionals in a manufacturing firm in Malaysia. A total of 231 responses were analyzed using the partial least square (PLS) method. The findings revealed that sustainable project management has a significant impact on sustainable project success and sustainable project planning. Sustainable project planning is positively correlated with sustainable project success. The results also indicated that sustainable project planning mediates the effect of sustainable project management on sustainable project success. The findings have significant insight into the body of knowledge of the project life cycle and indicated that sustainable project planning is a crucial tool attributed to project management towards the project success of the manufacturing firm. The results can be used as a guideline for organizations, providing direction in project management to achieve sustainable development for business.

Matched MeSH terms: Research Design
Replicating remembering "remembering"

Janssen SMJ, Anthony K, Chang CYM, Choong EL, Neoh JY, Lim A

Memory, 2020 Dec 31.
PMID: 33382346 DOI: 10.1080/09658211.2020.1868525

When examining spontaneously recovered memories of childhood sexual abuse, victims report that there had been periods in which they had forgotten the abuse. However, there are sometimes people with whom the victim had spoken about the abuse during the period in which the victim had supposedly forgotten the abuse, suggesting the victim had not forgotten the abuse but the prior recall of the abuse. The underestimation of previous knowledge is termed the forgot-it-all-along effect. The goal of the present study was replicating the results of a laboratory study that had provided a theoretical understanding for the forgot-it-all-along effect by showing that people have difficulties remembering "remembering" when the memory had previously been recalled in a different context. The effect was replicated by using the same neutral context sentences, suggesting the finding was robust. We also extended the experimental design by using positive and negative context sentences, but it did not become smaller when the positive sentences provided the different context or larger when the negative sentences provided the different context. Although the sample sizes were sufficiently large to provide statistical power for the forgot-it-all-along effect, they may not have been sufficiently large to observe the moderation effects of emotional context.

Matched MeSH terms: Research Design
Fulltext Psychometric properties of quality of life questionnaires for patients with breast cancer-related lymphedema: A protocol for a systematic review

Meilani E, Zanudin A, Nordin NAM

Medicine (Baltimore), 2020 Dec 24;99(52):e23897.
PMID: 33350786 DOI: 10.1097/MD.0000000000023897

BACKGROUND: Breast-cancer related lymphedema (BCRL) is a common condition among breast cancer survivors that could impact the quality of life (QoL) of patients. Exploring the QoL of the patients with BCRL using valid and reliable QoL is crucial to capture the status of this important aspect hence appropriate intervention could be implement to patient. However, so far no scientific review is available, which reports the psychometric properties of the QoL questionnaires used in BCRL. The purpose of this systematic review is to comprehensively assess the psychometric properties of QoL questionnaires in patients with BCRL.
METHODS: We will perform comprehensive searches of published studies in electronic databases such as Medline (via Ovid), EBSCOhost, PubMed, Scopus, and Web of Science by using the following search terms: "quality of life"; "breast cancer"; "upper limb"; "lymphedema"; "questionnaire"; and "measurement properties." Only full-text articles in English language are included. Two reviewers will independently conduct the article selection, data extraction, and quality assessment. Any possible conflict between the 2 reviewers is going to be solved with the help of a third reviewer. The Consensus-based Standards for the Selection of Health Measurement Instrument (COSMIN) checklist and manual will be used to assess the selected study quality.
RESULTS: This review will provide an updated overview of available lymphedema-specific questionnaires used in BCRL population and then recommend the most valid and reliable QoL questionnaire for clinical and research use in patients with BCRL.
CONCLUSION: This review may help the clinician and researcher to find an updated overview of various questionnaires used to assess BCRL patients' QoL.
ETHICS AND DISSEMINATION: This review will use data from published studies. Therefore, ethical approval is not required prior to this review. The results of this review will be published in a peer-reviewed journal or presented at conferences.
STUDY REGISTRATION: OSF osf.io/8xwym.

Matched MeSH terms: Research Design

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