Article
Multidisciplinary Sciences
Zahra Movahedi Nia, Ali Ahmadi, Nicola L. Bragazzi, Woldegebriel Assefa Woldegerima, Bruce Mellado, Jianhong Wu, James Orbinski, Ali Asgary, Jude Dzevela Kong
Summary: In this paper, the authors compare and analyze the macroeconomics of Nigeria, South Africa, and Canada during the COVID-19 pandemic, using the Phillips curve. They find that all three countries experienced an increase in unemployment rates at the beginning of the pandemic, with Canada being able to control and reduce it. However, Canada also experienced a significant increase in inflation rate. Nigeria and South Africa struggled to control unemployment rates and did not return to pre-pandemic levels, while both countries saw an increase in inflation rates. The authors highlight the vulnerability of lower-middle-income countries to lockdowns and economic restrictions, and emphasize the high inflation rate as a major concern for all countries in the near future.
Article
Chemistry, Multidisciplinary
Aseel Alhadlaq, Abeer Alnuaim
Summary: This study aims to examine the cultural traits of Arabic and Hispanic viewers of a specific football match through analyzing their tweets. Machine learning models were used to evaluate and contrast the translated tweets, revealing that Arabs are more collectivistic while Hispanics are more individualistic, which was partially supported by the collected Twitter data. The study shows the significance of Twitter in cultural research and contributes to cross-national comparative cultural studies.
APPLIED SCIENCES-BASEL
(2023)
Article
Transportation Science & Technology
Yue Ding, Rostyslav Korolov, William (Al) Wallace, Xiaokun (Cara) Wang
Summary: The study analyzes sentiment changes towards autonomous vehicles (AVs) through social media tweets, revealing a general positive attitude towards AVs but also biases towards different AV terms. Significant sentiment changes are often associated with major social events, with the general public being more sensitive to these events.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Computer Science, Theory & Methods
Kelsey Linnell, Michael Arnold, Thayer Alshaabi, Thomas McAndrew, Jeanie Lim, Peter Sheridan Dodds, Christopher M. Danforth
Summary: Sleep loss is associated with various deadly diseases, and analyzing social media activity may help estimate health indicators, but measuring collective sleep effectively remains a challenge. This research uses Twitter activity data to analyze the Spring Forward phenomenon, providing insight into spatial differences in sleep loss across the United States.
JOURNAL OF BIG DATA
(2021)
Article
Multidisciplinary Sciences
Folashade B. Agusto, Eric Numfor, Karthik Srinivasan, Enahoro A. Iboi, Alexander Fulk, Jarron M. Saint Onge, Townsend Peterson
Summary: The study found that public perception and attitudes towards COVID-19 have a significant impact on the spread of the epidemic. The study used a model based on ordinary differential equations, which incorporated social behavioral factors such as quarantine and quarantine violation. The results showed that positive public sentiments can reduce the disease burden on the community, while violation of quarantine regulations and early discharge can amplify the disease burden on the community. Therefore, it is important to consider public sentiment and individual social behavior in studying diseases like COVID-19.
Article
Computer Science, Artificial Intelligence
Veda C. Storey, Daniel E. O'Leary
Summary: This research analyzes text generated by users on social media platforms to study human communication during a pandemic. The study finds that in the early stages of the pandemic, users were primarily seeking information and showed less emotional expression. As time progressed, there was an increase in emotional expression, including anger. Additionally, tweets with and without multimedia content had significant differences in sentiment. There were also differences between tweets and retweets. Furthermore, Google and Wikipedia searches were found to be predictive of sentiment in tweets. Finally, the use of COVID-related concepts in tweets was related to users' influence score and number of retweets. The findings provide insights into human communication and models of internet and social media use, which have implications beyond managing a pandemic.
COGNITIVE COMPUTATION
(2022)
Article
Health Care Sciences & Services
Michal Monselise, Chia-Hsuan Chang, Gustavo Ferreira, Rita Yang, Christopher C. Yang
Summary: This research analyzed public sentiment towards COVID-19 vaccines by studying discussions on social media platforms. The study identified concerns about vaccine administration and access among the public, with fear being the predominant emotion expressed in tweets. The results provide valuable insights for disseminating health information effectively and building trust with the public.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Information Systems
Hajar Sotudeh
Summary: This study examines the opinions of Twitter users about open access (OA), focusing on the views of users interested in OA. The findings show that academics, library professionals, and publishers are the main interested users, and they hold negative perspectives on certain aspects of OA. The study highlights the need to attract public attention to OA and address the diverging opinions of stakeholders. It also emphasizes the importance of considering social layers in studying societal opinions and behaviors in a social network.
ONLINE INFORMATION REVIEW
(2023)
Article
Public, Environmental & Occupational Health
Tushar Semwal, Karen Milton, Ruth Jepson, Michael P. Kelly
Summary: The study analyzed public sentiments towards 20mph speed limit policies implemented in Edinburgh and Belfast using Twitter data. It found that overall, public attitudes were positive or neutral, with tweets largely focusing on road safety and potential benefits, such as reducing air pollution. The study suggests policymakers should not be overly concerned about public backlash when considering expanding 20mph speed restrictions.
Article
Computer Science, Artificial Intelligence
Abdulrahman I. Al-Ghadir, Aqil M. Azmi, Amir Hussain
Summary: This study introduces a novel approach for identifying the stance of Twitter authors and implements it through a three-phase process. The performance is evaluated using six different classifiers, achieving the best performance with the weighted K-NN classifier.
INFORMATION FUSION
(2021)
Article
Business
Jose Ramon Saura, Domingo Ribeiro-Soriano, Pablo Zegarra Saldana
Summary: The COVID-19 pandemic has accelerated the adoption of new technologies and digital platforms in companies, leading to changes in organizational and work structures. This study uses sentiment analysis and topic modeling techniques to analyze user-generated content on Twitter, identifying opportunities and challenges for remote work. The study also emphasizes the importance of stress management in further research on remote work.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
M. Uma, S. Metilda Florence, V. Elizabeth Jesi, M. Anand, V. Joseph Raymond
Summary: Social media and microblog data can be valuable resources for mining opinions or analyzing public sentiment. This paper introduces a new feature extracted through dependency parsing and emotion lexicon, which, combined with ensemble framework, improves sentiment classification.
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
(2022)
Article
Health Care Sciences & Services
Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang
Summary: This study used machine learning methods to analyze topics and sentiments related to COVID-19 vaccination on Twitter in Australia. Findings showed that while most tweets expressed positive attitudes towards the vaccine, there were also negative sentiments present; trust and anticipation were prominent positive emotions, while fear stood out as the top negative emotion. Some users supported infection control measures, but others rationalized their position on vaccination with conspiracy theories.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Ying Wang, Alvin Wei Ze Chew, Limao Zhang
Summary: This study develops a deep learning framework to quantify public sentiments towards COVID-19 and uses these sentiments to forecast the daily growth rate of confirmed COVID-19 cases globally. The results show that the global community evokes both positive and negative sentiments towards COVID-19 over time.
APPLIED SOFT COMPUTING
(2022)
Article
Medicine, General & Internal
Liang Yu, Tian-Lei Xu, Lin Zhang, Shuo-Hao Shen, Yue-Lu Zhu, Hui Fang, Hai-Zeng Zhang
Summary: This study found that the predominant sites of distant metastases were the lung and liver for both the NCRT and PCRT groups, with NCRT group developing local recurrence and distant metastases later than the PCRT group. Therefore, patients receiving NCRT may require longer follow-up.
CHINESE MEDICAL JOURNAL
(2021)
Editorial Material
Surgery
Meghal Shah, Tejas S. Sathe, Sukriti Bansal, Anai N. Kothari, Sophie Dream
JOURNAL OF SURGICAL RESEARCH
(2024)
Letter
Surgery
Zafer Turkyilmaz, Ramazan Karabulut, Kaan Sonmez
JOURNAL OF SURGICAL RESEARCH
(2024)
Letter
Surgery
Priyanka Jadhav, Gerald Gollin
JOURNAL OF SURGICAL RESEARCH
(2024)
Review
Surgery
Kheira Hireche, Ludovic Canaud, Pierre Antoine Peyron, Linda Sakhri, Isabelle Serres, Sanaa Kamel, Youcef Lounes, Thomas Gandet, Pierre Alric
Summary: This study evaluated the elastic properties of commonly used vascular substitutes for pulmonary artery replacement and compared their compliance and stiffness indexes to human pulmonary artery. The results showed that allogenic arterial grafts appeared to be the most suitable vascular substitutes in terms of compliance and stiffness for PA replacement.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Margaret Siu, Aixa Perez Coulter, Heather M. Grant, Reginald Alouidor, Michael Tirabassi
Summary: There is no significant difference in adverse respiratory events between intubated, critically ill patients requiring operative intervention who are kept NPO for 6 hours or longer compared to those kept NPO for less than 6 hours. Patients commonly experience periods of fasting much longer than the recommended 6-hour period by the American Society of Anesthesiologists.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Whitney Elks, Allison G. McNickle, Matthew Kelecy, Kavita Batra, Shirley Wong, Shawn Wang, Lisa Angotti, Deborah A. Kuhls, Charles St Hill, Syed F. Saquib, Paul J. Chestovich, Douglas R. Fraser
Summary: This study aimed to compare the effects of early and late enteral feeding after PEG placement on achieving nutritional therapy goals and adverse outcomes. The results showed that patients with early initiation of feeds achieved a higher percentage of goals on day 0 without an increased rate of adverse events.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Manisha B. Bhatia, Cassandra M. Anderson, Abdiwahab N. Hussein, Brian Opondo, Nereah Aruwa, Otieno Okumu, Sarah G. Fisher, Tasha Sparks Joplin, JoAnna L. Hunter-Squires, Brian W. Gray, Peter W. Saula
Summary: This study aimed to understand postoperative pediatric nutrition practices in Kenya and the United States. The results showed that in the United States, patients initiated enteral nutrition earlier and had shorter hospital stays. However, in Kenya, patients initiated enteral nutrition earlier but had no significant difference in hospital stays.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
David P. Stonko, Joseph Edwards, Hossam Abdou, Rebecca Treffalls, Patrick Walker, Jonathan J. Morrison
Summary: Raising mean arterial pressure (MAP) >90 mmHg with norepinephrine can increase gastroduodenal artery (GDA) flow and delay bowel ischemia.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
David R. Mann, Kathryn E. Engelhardt, Barry C. Gibney, Macelyn E. Batten, Eric C. Klipsch, Rupak Mukherjee, Ian C. Bostock
Summary: Pathologic upstaging is associated with decreased overall survival in cT1b esophageal cancer. Esophagectomy has better survival outcomes compared to endoscopic local tumor excision. Neoadjuvant chemoradiation therapy does not improve overall survival in cT1b lesions.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Ross Mudgway, Zachary Tran, Juan C. Quispe Espiritu, Woo Bin Bong, Hayden Schultz, Vamsi Vemireddy, Aarthy Kannappan, Marcos Michelotti, Kaushik Mukherjee, Jeffrey Quigley, Keith Scharf, Daniel Srikureja, Sharon S. Lum, Esther Wu
Summary: Comparison of medium-term outcomes between robotic-assisted cholecystectomy (RC) and laparoscopic cholecystectomy (LC) using validated quality of life (QoL) and pain assessments did not show significant differences.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Ningjie Chen, Haitao Wang, Yang Shao, Jincun Yang, Guodong Song
Summary: This study aimed to compare the therapeutic effects of activated platelet-rich plasma (PRP) prepared from elderly individuals and young adults in treating pressure ulcers (PUs). The results showed that PRP from young adults had higher platelet concentrations and greater production of growth factors, leading to better wound healing.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Brendin R. Beaulieu-Jones, Margaret T. Berrigan, Kortney A. Robinson, Jayson S. Marwaha, Tara S. Kent, Gabriel A. Brat
Summary: Introduction: Prescription opioids, including those prescribed after surgery, have greatly contributed to the US opioid epidemic. Educating opioid prescribers is a crucial component of ensuring the safe use of opioids among surgical patients. This study implemented an annual education curriculum for new surgical prescribers, resulting in significant improvements in knowledge and comfort levels. However, there remains a persistent knowledge and comfort gap among these prescribers.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Sneha G. Bhat, Madhuri Nagaraj, Courtney Balentine, Timothy Hogan, Jennie Meier, Hillary Prince, Kareem Abdelfattah, Herbert Zeh, Benjamin Levi
Summary: This pilot study examined the effects of a structured mental fitness program on academic surgeons and found significant improvement in Positive Intelligence (PQ) scores, as well as increased connectedness and shared language among participants. However, there were no significant changes in sleep, well-being, or teaching evaluations.
JOURNAL OF SURGICAL RESEARCH
(2024)
Article
Surgery
Kristin E. Cox, Michael A. Turner, Siamak Amirfakhri, Thinzar M. Lavin, Mojgan Hosseini, Pradipta Ghosh, Marygorret Obonyo, Takashi Murakami, Robert M. Hoffman, Paul J. Yazaki, Michael Bouvet
Summary: This study demonstrates the potential of using humanized anti-carcinoembryonic antigen (CEA) antibodies conjugated with near-infrared dyes to specifically label gastric cancers in mouse models. Orthotopic models showed bright and specific labeling with more than ten times higher tumor-to-background ratios compared to the control. This tumor-specific fluorescent antibody has promising potential as a clinical tool for improving visualization of gastric cancer margins during surgical resection.
JOURNAL OF SURGICAL RESEARCH
(2024)
Review
Surgery
Sarah Maki, Melissa Leon, Emily Glenn, Tiffany Tanner, Crystal Krause
Summary: This scoping review analyzed the literature on the use of broadband personality tests in the bariatric surgical population to optimize weight loss outcomes. The study found significant associations between personality scales and weight loss, but inconsistent reporting of outcome measures made it challenging to draw concrete conclusions. The American Society for Metabolic and Bariatric Surgery recommends standardization of outcome reporting to improve the reliability of predicting weight loss outcomes.
JOURNAL OF SURGICAL RESEARCH
(2024)