#PlasticsTwitter: The Use of Twitter Data s a Tool for Evaluating Public Interest in Cosmetic Surgery Procedures

2021 ◽  
Author(s):  
Samuel A Cohen ◽  
Jonathan D Tijerina ◽  
Linus Amarikwa ◽  
Clara Men ◽  
Andrea Kossler
Keyword(s):  
Linear Regression ◽  
Public Interest ◽  
Cosmetic Surgery ◽  
Linear Regression Analysis ◽  
Temporal Trends ◽  
Academic Research ◽  
Valuable Insight ◽  
Search Terms ◽  
Emerging Trends ◽  
American Society

Abstract Background Plastic surgeons are increasingly turning to social media to market their services. The newly released Twitter Academic Research Product Track (TARPT) database provides free, customizable analysis of keywords that are included in tweets on the Twitter platform. The TARPT tool may provide valuable insight into public interest in cosmetic surgery procedures. Objectives To determine TARPT’s utility in tracking and predicting public interest in cosmetic surgery procedures and to examine temporal trends in tweets related to cosmetic facial and body procedures. Methods The TARPT tool was used to calculate total number of tweets containing keywords related to 10 facial cosmetic procedures and 7 cosmetic body procedures from 2010 to 2020. Annual volumes for respective procedures were obtained from annual statistics reports of the American Society of Plastic Surgeons (ASPS) from 2010 to 2020. Univariate linear regression was used to compare tweet volumes and procedure volumes, taking P < 0.05 as the cutoff for significance. Results Variations in tweet volume were observed. Univariate linear regression analysis demonstrated statistically significant positive correlations between tweet volumes and ASPS procedure volumes for 7 search terms: “eyelid lift”, “facelift”, “lip injections”, “mastopexy”, “butt lift”, “butt implants”, and “liposuction”. Many procedure-related keywords were not significant, demonstrating the importance of careful selection of Twitter search terms. Conclusions The TARPT database represents a promising novel source of information for plastic surgeons, which the potential to inform marketing and advertising decisions for emerging trends in plastic surgery interest before these patterns become apparent in surgical or clinical volumes.

Has the COVID-19 Pandemic Impacted Interest in Cosmetic Facial Plastic Surgery?: A Google Trends Analysis

2022 ◽  
Author(s):  
Lily N. Trinh ◽  
Rachel Safeek ◽  
Daniel Herrera ◽  
Amar Gupta
Keyword(s):  
Plastic Surgery ◽  
Cosmetic Surgery ◽  
Linear Regression Analysis ◽  
Google Trends ◽  
P Value ◽  
Facial Plastic Surgery ◽  
Search Terms ◽  
Trends Analysis ◽  
Facial Plastic ◽  
Vaccine Distribution

AbstractFacial cosmetic surgery trends are evolving in the current climate of the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to evaluate public interest in elective facial plastic surgery during the COVID-19 pandemic including the period of the COVID-19 vaccine distribution using Google Trends. A Google Trends analysis was completed using popular terms related to facial cosmetic surgery and procedures from March 2017 to August 2021. Three stages were identified (baseline, pre-COVID-19 vaccine distribution, and post-COVID-19 vaccine distribution). Descriptive statistics were calculated and two-tailed t-tests were performed between the pre-vaccine and the post-vaccine phases. Linear regression analysis was also performed to determine percent deflection of search terms. There was significantly greater interest in facial aesthetic procedure search terms, except for tear trough filler, during the post-COVID-19 vaccine phase compared with the pre-COVID-19 vaccine phase. There was greater interest in lower facial procedure interest during this phase compared with upper facial procedures (p-value = 0.0011). The search terms with the greatest deflection percentage during the post-vaccine phase were lip filler, brow lift, and lip flip. There continues to be high demands of facial plastic surgery and procedures despite COVID-19 pandemic.

scholarly journals Temporal water table changes in soil toposequence of the Poznań Lakeland (western Poland)

2017 ◽  
Vol 68 (4) ◽  
pp. 167-173
Author(s):  
Michał Kozłowski ◽  
Jolanta Komisarek
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Water Table ◽  
Root Zone ◽  
Linear Regression Analysis ◽  
Temporal Trends ◽  
Water Table Depth ◽  
The Mean ◽  
The Impact

Abstract The paper presents results of determination of temporal changes in water table depths in the toposequence of Retisols/Luvisols and Phaeozems/Gleysols. Assessment of temporal trends in the water table depth was made with the use of the linear regression analysis. The results obtained indicate that the mean water table depth and mean high and low water table depths were deeper in the soil at the upper part of the slope in comparison with soil located at the footslope. A higher amplitude of water table was observed in Retisols than in Gleysols but the highest variability of water table level was noted in the soils at the footslope compared to those at the slope summit. In Retisols, with each month of observation from 1993 to 2012, the water table showed a tendency to increase. These trends were the highest from January to April, which may be related to the tendency of increasing monthly sums of precipitation in December, January and February. In the Gleysol at the footslope, in the period 1993–2012 and in the vegetation season, the water table depth showed a tendency to decrease. This trend may be due to the impact of water table on the soil water content at the root zone, which is used in the process of evapotranspiration.

scholarly journals Affecting Structural Factors on the Entrepreneurship Behavior of the Academic Members of Healthcare

2020 ◽  
Author(s):  
Rafat MOHEBIFAR ◽  
Azad SHOKRI ◽  
Sima RAFIEI ◽  
Negin MOHAMMADI ◽  
Maria MOHAMMADI ◽  
...  
Keyword(s):  
Linear Regression ◽  
Academic Staff ◽  
Linear Regression Analysis ◽  
Academic Research ◽  
Structural Factors ◽  
Structural Elements ◽  
Medical Sciences ◽  
Entrepreneurial Behavior ◽  
Cross Sectional ◽  
High Tendency

Background: The study aimed to assess affecting structural factors on the entrepreneurship behavior of the academic members of healthcare in Qazvin University of Medical Sciences, Central Iran. Methods: This was a descriptive, cross-sectional study conducted among faculty members working in five faculties of Qazvin University of Medical Sciences, Iran in 2018. Data were collected using a three-part standard questionnaire including demographic characteristics, entrepreneurial behavior and structural factors questions. ANOVA and linear regression modeling were used in STATA software version 14. Results: Of 270 academic staff who participated in the study, 204 (73%) completed the questionnaire. The mean score reported for entrepreneurial behavior was 3.76±0.55 considered high tendency toward entrepreneurship. Moreover, the average conditions of the structural elements have been 2.51±0.89 considered average. Linear regression analysis showed that along with increasing age, entrepreneurship behavior increased (P=0.018, β=0.52), while an increase in educational level led to a decrease in entrepreneurship behaviour (P=0.001, β=-0.74). In a final model, organizational structure revealed a significant effect on entrepreneurship behavior (P<0.001, β=0.25). Only physical facilities didn't show a statistical significant effect on entrepreneurship score (P>0.05). Conclusion: Universities must also pay attention to acquiring and developing the science and technology gained from academic research and transferring them through entrepreneurship channels. Considering the effect of structural elements on entrepreneurial behavior of the academic members, the need for such substructure in the universities and the country’s higher education organizations to assist development of entrepreneurial behavior among the academicians is greatly felt.

scholarly journals Google Trends as a Tool for Evaluating Public Interest in Facial Cosmetic Procedures

2018 ◽  
Vol 39 (8) ◽  
pp. 908-918 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Daniel G Vail ◽  
Rahim Nazerali ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Univariate Analysis ◽  
Temporal Trends ◽  
Temporal Variations ◽  
Google Trends ◽  
Forehead Lift ◽  
Search Terms ◽  
Search Volume ◽  
High Utility ◽  
American Society

Abstract Background The utility of Google Trends (GT) in analyzing worldwide and regional patient interest for plastic surgery procedures is becoming invaluable to plastic surgery practices. GT data may offer practical information to plastic surgeons pertaining to seasonal and geographic trends in interest in facial cosmetic procedures. Objectives The authors sought to analyze geographic and temporal trends between GT search volumes and US surgery volumes using univariate analysis. Methods The “related queries” feature of GT generated potential search terms. GT data were compiled for cheek implants, mentoplasty, otoplasty, blepharoplasty, rhytidectomy, forehead lift, hair transplantation, lip augmentation, lip reduction, platysmaplasty, and rhinoplasty from January 2004 to December 2017. Annual volumes for respective procedures were obtained from annual statistics reports of the American Society of Plastic Surgeons (ASPS) from 2006 to 2017 and American Society of Aesthetic Plastic Surgery (ASAPS) from 2004 to 2017. Results Geographical and temporal variations in search volume were detected during the study. Search volume trends that correlated significantly with both ASPS and ASAPS surgery volume trends were: “eyelid plastic surgery” (ASPS R2 = 0.336, P = 0.048; ASAPS R2 = 0.661, P = 0.001); “facelift” (ASPS R2 = 0.767, P ≤ 0.001; ASAPS R2 = 0.767, P = 0.001); “lip injections” (ASPS R2 = 0.539, P = 0.007; ASAPS R2 = 0.461, P = 0.044); and “rhinoplasty surgery” (ASPS R2 = 0.797, P ≤ 0.001; ASAPS R2 = 0.441, P = 0.01). Several search terms demonstrated no significant relationships or were significant with only one database. Conclusions GT may provide a high utility for informing plastic surgeons about the interest expressed by our patient population regarding certain cosmetic search terms and procedures. GT may represent a convenient tool for optimizing marketing and advertising decisions.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

Pengaruh Penghargaan Terhadap Kinerja Karyawan pada CV. Dino Manunggal Karsa Bogor

2019 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Dedy Mulyadi ◽  
Didik Purwanto
Keyword(s):  
Linear Regression ◽  
Performance Assessment ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Strong Relationship ◽  
Simple Linear Regression ◽  
New Employees ◽  
Company Policy ◽  
Effective Manner ◽  
Relationship Of

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any  agency or any organization should be able to provide compensation equal to the workload  to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered  to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the  performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson)  to test  whether or not a strong  relationship between the variables X  dan Y , based on the results of cakculations with SPSS  table valuse obtained by calculating the  correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship

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