scholarly journals Comment Topic Evolution on a Cancer Institution’s Facebook Page

2017 ◽  
Vol 08 (03) ◽  
pp. 854-865 ◽  
Author(s):  
Li Zhou ◽  
Joseph Plasek ◽  
Ronen Rozenblum ◽  
David Bates ◽  
Chunlei Tang
Keyword(s):  
Social Media ◽  
Latent Dirichlet Allocation ◽  
Pearson Correlation ◽  
Family Members ◽  
Correlation Coefficients ◽  
Free Text ◽  
Strong Positive Correlation ◽  
Allocation Model ◽  
Positive Correlation ◽  
Topic Evolution

SummaryObjectives: Our goal was to identify and track the evolution of the topics discussed in free-text comments on a cancer institution’s social media page.Methods: We utilized the Latent Dirichlet Allocation model to extract ten topics from free-text comments on a cancer research institution’s Facebook™ page between January 1, 2009, and June 30, 2014. We calculated Pearson correlation coefficients between the comment categories to demonstrate topic intensity evolution.Results: A total of 4,335 comments were included in this study, from which ten topics were identified: greetings (17.3%), comments about the cancer institution (16.7%), blessings (10.9%), time (10.7%), treatment (9.3%), expressions of optimism (7.9%), tumor (7.5%), father figure (6.3%), and other family members & friends (8.2%), leaving 5.1% of comments unclassified. The comment distributions reveal an overall increasing trend during the study period. We discovered a strong positive correlation between greetings and other family members & friends (r=0.88; p<0.001), a positive correlation between blessings and the cancer institution (r=0.65; p<0.05), and a negative correlation between blessings and greetings (r=–0.70; p<0.05).Conclusions: A cancer institution’s social media platform can provide emotional support to patients and family members. Topic analysis may help institutions better identify and support the needs (emotional, instrumental, and social) of their community and influence their social media strategy.Citation: Tang C, Zhou L, Plasek J, Rozenblum R, Bates D. Comment Topic Evolution on a Cancer Institution’s Facebook Page. Appl Clin Inform 2017; 8: 854–865 https://doi.org/10.4338/ACI-2017-04-RA-0055

Enhanced context-aware recommendation using topic modeling and particle swarm optimization

2021 ◽  
pp. 1-16
Author(s):  
Ibtissem Gasmi ◽  
Mohamed Walid Azizi ◽  
Hassina Seridi-Bouchelaghem ◽  
Nabiha Azizi ◽  
Samir Brahim Belhaouari
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
State Of The Art ◽  
Weighting Function ◽  
Contextual Factors ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Pso Algorithm ◽  
Context Aware ◽  
Proposed Model

Context-Aware Recommender System (CARS) suggests more relevant services by adapting them to the user’s specific context situation. Nevertheless, the use of many contextual factors can increase data sparsity while few context parameters fail to introduce the contextual effects in recommendations. Moreover, several CARSs are based on similarity algorithms, such as cosine and Pearson correlation coefficients. These methods are not very effective in the sparse datasets. This paper presents a context-aware model to integrate contextual factors into prediction process when there are insufficient co-rated items. The proposed algorithm uses Latent Dirichlet Allocation (LDA) to learn the latent interests of users from the textual descriptions of items. Then, it integrates both the explicit contextual factors and their degree of importance in the prediction process by introducing a weighting function. Indeed, the PSO algorithm is employed to learn and optimize weights of these features. The results on the Movielens 1 M dataset show that the proposed model can achieve an F-measure of 45.51% with precision as 68.64%. Furthermore, the enhancement in MAE and RMSE can respectively reach 41.63% and 39.69% compared with the state-of-the-art techniques.

Relationship amongst ResearchGate altmetric indicators and Scopus bibliometric indicators

2015 ◽  
Vol 116 (9/10) ◽  
pp. 564-577 ◽  
Author(s):  
RISHABH SHRIVASTAVA ◽  
Preeti Mahajan
Keyword(s):  
Sample Size ◽  
Correlation Coefficients ◽  
Strong Positive Correlation ◽  
Bibliometric Indicators ◽  
Pearson’S Correlation ◽  
Content Type ◽  
Positive Correlation ◽  
Pearson's Correlation ◽  
Different Characteristics ◽  
The Relationship

Purpose – The purpose of this paper is twofold. First, the study aims to investigate the relationship between the altmetric indicators from ResearchGate (RG) and the bibliometric indicators from the Scopus database. Second, the study seeks to examine the relationship amongst the RG altmetric indicators themselves. RG is a rich source of altmetric indicators such as Citations, RGScore, Impact Points, Profile Views, Publication Views, etc. Design/methodology/approach – For establishing whether RG metrics showed the same results as the established sources of metrics, Pearson’s correlation coefficients were calculated between the metrics provided by RG and the metrics obtained from Scopus. Pearson’s correlation coefficients were also calculated for the metrics provided by RG. The data were collected by visiting the profile pages of all the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Findings – The study showed that most of the RG metrics showed strong positive correlation with the Scopus metrics, except for RGScore (RG) and Citations (Scopus), which showed moderate positive correlation. It was also found that the RG metrics showed moderate to strong positive correlation amongst each other. Research limitations/implications – The limitation of this study is that more and more scientists and researchers may join RG in the future, therefore the data may change. The study focuses on the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Perhaps further studies can be conducted by increasing the sample size and by taking a different sample size having different characteristics. Originality/value – Being an emerging field, not much has been conducted in the area of altmetrics. Very few studies have been conducted on the reach of academic social networks like RG and their validity as sources of altmetric indicators like RGScore, Impact Points, etc. The findings offer insights to the question whether RG can be used as an alternative to traditional sources of bibliometric indicators, especially with reference to a rapidly developing country such as India.

scholarly journals The Short Communication: Polymorphism of myostatin gene and its association with body weight traits in a hybrid of GAMA chicken (Gallus gallus domesticus Linn. 1758)

2019 ◽  
Vol 20 (11) ◽  
Author(s):  
ARDO TANJUNG ◽  
H.T.S.S.G. SARAGIH ◽  
TRIJOKO ◽  
H.P. SOENARWAN ◽  
S. WIDIANTO ◽  
...  
Keyword(s):  
Body Weight ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Gallus Gallus ◽  
Gallus Domesticus ◽  
The Body ◽  
Strong Positive Correlation ◽  
Gallus Gallus Domesticus ◽  
Myostatin Gene ◽  
Positive Correlation

Abstract. Tanjung A, Saragih HTSSG, Trijoko, Soenarwan HP, Widianto S, Mahardhika IWS, Daryono BS. 2019. Polymorphism of myostatin gene and its association with body weight traits in a hybrid of GAMA chicken (Gallus gallus domesticus Linn. 1758). Biodiversitas 20: 3207-3212. An experiment was conducted to detect SNP of the myostatin gene and its association with the body weight of hybrid chicken crossbreed from F1 Kamper and BC1 Broiler. Four F1 Kamper hens were crossbred with BC1 Broiler rooster. Day old chick (DOC) hatched were maintained for 49 days with body weight measurement every seven days. The blood samples from 49 days old chicken were taken for DNA isolation by Chelex 5% method and then amplification of the myostatin gene. PCR products were sequenced, and sequence alignment was performed using Clustal Omega to obtain SNP. The SNP obtained was analyzed by the Pearson correlation test with the body weight of forty nine-days-old chickens. The body weight of the hybrid chicken is higher than of Pelung chicken but lower than the Broiler. There are 7 SNPs in myostatin gene exons included 2 Adenine insertions, 1 Guanine deletion, and four substitutions (C2244G, G2283A, T4842G, G7378T) that yield nine haplotypes. Six haplotypes had different protein sequences with Myostatin protein, while three haplotypes were identical to Myostatin protein. The correlation analysis showed that there was a strong positive correlation (r = 0.736) between normal Myostatin protein and mutant to chicken body weight at 49-days-old. Adenine insertion to nucleotide 2099-2100 of myostatin gene had a very strong positive correlation (r = 0.800) to 49-days-old chicken body weight, although T4842G substitution had a strong negative relationship (r = -0.773) to 49-days-old chicken body weight. Adenine insertion to nucleotide 2099-2100 of myostatin gene could be a genetic marker of heavier body weight of the hybrid chicken.

scholarly journals Normal Reference Range of Fetal Nuchal Translucency Thickness Among Pregnant Women of Igbo Extraction in Enugu, South-East Nigeria

2020 ◽  
Author(s):  
Charles Ugwoke Eze ◽  
Sandra Nnenna Okenwa ◽  
Everistus obinna Abonyi ◽  
Julius Amechi Agbo ◽  
Sobechukwu Warric Iwene Onwuzu ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Maternal Age ◽  
Pearson Correlation ◽  
Chorionic Villus ◽  
Nuchal Translucency ◽  
Chorionic Villus Sampling ◽  
Strong Positive Correlation ◽  
Positive Correlation ◽  
Baseline Values ◽  
The Relationship

Abstract Background: Screening of fetus for congenital anomaly has posed a great challenge to obstetricians and other caregivers even as early identification can improve the chances of getting the best possible outcome. Early fetal anomaly screening is usually done using nuchal translucency scan and other invasive procedures such Chorionic villus sampling and amniocentesis. Increase in Nuchal translucency thickness (NTT) above a certain baseline values has been found to predict fetus with anomaly. Baseline values in use are generated from Caucasian population even though these values are known to be population specific. Hence, their use on any given population may lead to errors and introduce potential misdiagnosis. Therefore, there is need for population specific baseline values of NTT.Objectives: The study is aimed at developing baseline values of NTT among apparently normal fetuses from pregnant women of Igbo ethnic group and to assess the relationship of NTT with maternal age and fetal gestational age (FGA).Methods: This cross-sectional study involved 658 pregnant women of Igbo Origin between 11-14 weeks of gestation at Esut Teaching Hospital (Parklane) Enugu from August 2017 to February 2018. Pilot study was done to determine the interobserver variation between sonographers while final NTT was calculated as mean of three separate measurements. The 5th, 50th and 95th percentiles were calculated using polynomial regression while Pearson correlation was used to determine the relationship between NTT, maternal age and FGA. Results: The NTT measurement was shown to be reliable and reproducible. Mean ± S/D NTT obtained was 0.92 ± 0.23 mm. There was a strong positive correlation between NTT measurements and FGA (r = 0.823, p < 0.001); while there was weak but positive correlation between NTT measurements and Maternal age (r = 0.055, p > 0.001). Conclusion: Nuchal translucency thickness measurement increases with increase in FGA while a baseline value of NTT among pregnant women of Igbo extraction has been generated.

scholarly journals The Influence of Social Media Affinity on Eating Attitudes and Body Dissatisfaction in Philippine Adolescents

2020 ◽  
Vol 26 (1) ◽  
pp. 121-129
Author(s):  
Shannen Tadena ◽  
So Ra Kang ◽  
Shin-Jeong Kim
Keyword(s):  
Social Media ◽  
High School Students ◽  
Body Dissatisfaction ◽  
Junior High School ◽  
Body Satisfaction ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Eating Attitudes ◽  
School Students ◽  
10Th Grade

Purpose: This study aimed to examine the influence of social media affinity on eating attitudes and body dissatisfaction among adolescents in the Philippines.Methods: The participants were 114 junior high school students enrolled in 7th to 10th grade in Cavite Province, Philippines. The collected data were analyzed in SPSS, using descriptive statistics, the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and stepwise multiple linear regression.Results: The factors affecting eating attitudes were body dissatisfaction (β=-.47, <i>p</i><.001), social media affinity (β=.33, <i>p</i><.001) and grade (10th grade) (β=-.28, <i>p</i><.001), and the factors influencing body dissatisfaction were eating attitudes (β=-.65, <i>p</i><.001) and social media affinity (β=.17, <i>p</i>=.041).Conclusion: In order to promote healthy eating attitudes and to improve body satisfaction among Philippine adolescents, educational strategies tailored to social media users will be needed.

scholarly journals Determination of Spearman Correlation Coefficient(r)to Evaluate the Linear Association of Dermal Collagen and Elastic Fibers in the Perspectives of Skin Injury

2018 ◽  
Vol 2018 ◽  
pp. 1-6
Author(s):  
Naveen Kumar ◽  
Pramod Kumar ◽  
Satheesha Nayak Badagabettu ◽  
Melissa Glenda Lewis ◽  
Murali Adiga ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Scar Formation ◽  
Elastic Fibers ◽  
Strong Positive Correlation ◽  
Spearman Correlation ◽  
Unequal Distribution ◽  
Positive Correlation ◽  
Dermal Collagen ◽  
Human Cadavers ◽  
Moderate Negative Correlation

Background. Difference in scar formation at different sites, in different directions at the same site, but with changes in the elasticity of skin with age, sex, and race or in some pathological conditions, is well known to clinicians. The inappropriate collagen syntheses and delayed or lack of epithelialization are known to induce scar formation with negligible elasticity at the site of damage. Changes in the elasticity of scars may be due to an unequal distribution of dermal collagen (C) and elastic (E) fibers.Materials and Methods. Spearman correlation coefficients (r) of collagen and elastic fibers in horizontal (H) and in vertical (V) directions (variables CV, CH, EV, and EH) were measured from the respective quantitative fraction data in 320 skin samples from 32 human cadavers collected at five selected sites over extremities.Results. Spearman’s correlation analysis revealed the statistically significant (p<0.01) strong positive correlation betweenCHandCVin all the areas, that is, shoulder joint area (r=0.66), wrist (r=0.75), forearm (r=0.75), and thigh (r=0.80), except at the ankle (r=0.26,p=0.14) region. Similarly, positive correlation betweenEHandEVhas been observed at the forearm (r=0.65, moderate) and thigh (r=0.42, low) regions. However, a significant moderate negative correlation was observed betweenCVandEVat the forearm (r=-0.51) and betweenCHandEHat the thigh region (r=-0.65).Conclusion. Significant differences of correlations of collagen and elastic fibers in different directions from different areas of extremities were noted. This may be one of the possible anatomical reasons of scar behavior in different areas and different directions of the same area.

scholarly journals Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index

2013 ◽  
Vol 3 ◽  
pp. 82-88 ◽  
Author(s):  
TB Karki
Keyword(s):  
Grain Yield ◽  
Growth Stage ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Correlation Coefficients ◽  
Growth Stages ◽  
Strong Positive Correlation ◽  
Positive Correlation ◽  
Nutrient Levels ◽  
Seed Sowing

A study was carried out using three maize genotypes with three levels of nitrogen (30 kg, 60 kg and 120 kg per hectare) during the summer season of 2010 and 2011with the aim of predicting maize (Zea mays L.) yield through the Normalized difference vegetation index (NDVI). The NDVI was recorded at different times throughout the growing season using a Greenseeker™ handheld sensor. Significant effect of genotypes and nutrient levels on the NDVI was observed at different growth stages of maize. There was positive correlation between the NDVI and grain yield. In the first season, the correlation coefficients were 0.90, 0.92, 0.76 and 0.73, respectively at 15, 45, 75 and 110 days after seeding. In the second season, the correlation coefficients were 0.80, 0.92, 0.77 and 0.75 respectively at 15, 45, 75 and 110 days after seeding. The NDVI based N calculator showed that irrespective of genotypes, yield potentials under farmers' levels of nutrient management were almost half of the recommended doses of nitrogen. The amount of N to be top dressed decreased with increased crop duration. Grain yield varied significantly due to season, genotypes and nutrient levels. NDVI was affected due to season, stages of the crop (DAS), genotypes and nutrient levels. Interaction effects were significant for season x genotype, growth stage x genotype, growth stage x nutrient levels, genotype x nutrient levels and genotype x growth stage x nutrient levels. There was a strong positive correlation between NDVI and grain yields of hybrid maize at 15 and 45 DAS, but this correlation declined thereafter. This means that N top-dressed at or after 75 days of seed sowing will not increase grain yield as significantly as N applied earlier in the season. In contrast, topdressed N was producing significant effects on the open pollinated Rampur Composite even after 75 days of seed sowing. Further confirmation of the finding could be useful for top dressing N in the maize crop. Agronomy Journal of Nepal (Agron JN) Vol. 3. 2013, Page 82-88 DOI: http://dx.doi.org/10.3126/ajn.v3i0.9009

scholarly journals Evaluating the cohesion of municipalities’ discourse during the COVID-19 pandemic

2021 ◽  
Author(s):  
Victor Antonio Menuzzo ◽  
André Santanchè ◽  
Luiz Gomes-Jr
Keyword(s):  
Social Media ◽  
Latent Dirichlet Allocation ◽  
Communication Strategies ◽  
Epidemiological Data ◽  
Future Health ◽  
Health Crisis ◽  
Topic Evolution ◽  
Initial Analysis ◽  
Dirichlet Allocation

Social media has been used as a method to alert and raise awareness among the population to help fight the COVID-19 pandemic. We argue that the discourse of municipalities and their respective mayors may have an influence on the behavior of the population and thus directly impact COVID-19 outcomes. This paper analyzes the diversity and cohesion of these discourses through posts published on Facebook, evaluating (i) diversity of topics discussed, (ii) topic evolution, and (iii) deviation from a central discourse. We also combine this information with epidemiological data to assess impact in the outcomes. In particular, we present two different Latent Dirichlet allocation (LDA) models to analyze how topics are being discussed by municipalities/mayors and compare how cohesion is related to the evolution of the pandemic. Our initial analysis suggests that municipalities tend to employ a unified discourse as a response to the worsening of epidemic outcomes. The results of our study could help to inform governments of better communication strategies in this and future health crisis.

scholarly journals Are Black Friday Deals Worth It? Mining Twitter Users’ Sentiment and Behavior Response

2019 ◽  
Vol 5 (3) ◽  
pp. 58 ◽  
Author(s):  
Saura ◽  
Reyes-Menendez ◽  
Palos-Sanchez
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Latent Dirichlet Allocation ◽  
Allocation Model ◽  
Media Communication ◽  
Customer Support ◽  
Latent Dirichlet Allocation Model ◽  
Twitter Users ◽  
And Behavior ◽  
Black Friday

The Black Friday event has become a global opportunity for marketing and companies’ strategies aimed at increasing sales. The present study aims to understand consumer behavior through the analysis of user-generated content (UGC) on social media with respect to the Black Friday 2018 offers published by the 23 largest technology companies in Spain. To this end, we analyzed Twitter-based UGC about companies’ offers using a three-step data text mining process. First, a Latent Dirichlet Allocation Model (LDA) was used to divide the sample into topics related to Black Friday. In the next step, sentiment analysis (SA) using Python was carried out to determine the feelings towards the identified topics and offers published by the companies on Twitter. Thirdly and finally, a data-text mining process called textual analysis (TA) was performed to identify insights that could help companies to improve their promotion and marketing strategies as well as to better understand the customer behavior on social media. The results show that consumers had positive perceptions of such topics as exclusive promotions (EP) and smartphones (SM); by contrast, topics such as fraud (FA), insults and noise (IN), and customer support (CS) were negatively perceived by customers. Based on these results, we offer guidelines to practitioners to improve their social media communication. Our results also have theoretical implications that can promote further research in this area.

scholarly journals Comparison of Toxic Metal Concentrations in Antidiabetic Herbal Preparations (ADHPs) Available in Bangladesh Using AAS and XRF Analytical Tools

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Rausan Zamir ◽  
Nazmul Islam ◽  
Akhter Faruque
Keyword(s):  
Linear Correlation ◽  
Scientific Evidence ◽  
Pearson Correlation ◽  
Toxic Metal ◽  
Correlation Coefficients ◽  
Strong Positive Correlation ◽  
Metal Concentrations ◽  
Herbal Preparations ◽  
Weak Negative Correlation ◽  
Analytical Tools

Widespread escalation of type 2 diabetes is a concern throughout the world. Developing countries are leading with patients suffering from diabetes-related complications. Plant-based therapeutic, antidiabetic herbal preparations (ADHPs) are being sought for long and the consumption is increasing in in Bangladesh. Plant-based antidiabetic preparations do not go through the screening procedure in terms of safety. Toxic metals in ADHPs have been investigated by two different methods: atomic absorption spectroscopy (AAS) and X-ray fluorescence (XRF). Then, metal concentrations obtained by AAS and XRF were compared. A total of eleven ADHPs were subjected to nondestructive XRF analysis and destructive AAS analysis. Results from the two methods were analyzed statistically by Pearson correlation coefficient (PCC), rxy. Pearson correlation coefficients were found to be −0.05, 0.94, and 1.00 for Mn, Cu, and Zn, respectively. Zn and Cu had significant strong positive correlation (rxy = 1.00 and 0.94, respectively); however, very weak negative correlation was observed in Mn (rxy = −0.05). The concentrations were regressed to observe the presence of linearity. Linear correlation was found for Zn and Cu which indicates a good agreement between AAS and XRF. However, very weak linear correlation in Mn indicates necessitating requirements for further investigation on getting scientific evidence of toxic metal assessment of the antidiabetic herbal preparations for searching and establishing instrumental agreement.

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