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Purpose: Patellofemoral arthroplasty (PFA) was shown to be a potentially effective surgical technique for isolated patellofemoral osteoarthritis but varying reports on PFA-related implant failure and complications have rendered the procedure controversial. This study aimed to identify impactful publications, research interests/efforts, and collaborative networks in the field of PFA research. Methods: The study used the Web of Science Core Collection (WOSCC) database, Medline, Springer, BIOSIS Citation Index, and PubMed to retrieve relevant publications on PFA research published between 1950–2022. Statistical tests in R software were used for analysis while VOSviewer, Bibliometrix, and CiteSpace were employed for data visualization. Results: Two hundred forty-one articles were analyzed with the number of published papers increasing over time. Knee was the most frequent journal and Clinical Orthopaedics and Related Research was the most cited journal. Clinical outcomes, such as prosthesis survival, revision, and complications, were researched most frequently as demonstrated by keyword analysis. The United States was the top contributor to cooperative networks, followed by the United Kingdom while Technical University Munich formed close ties among authors. Conclusion: Publications on PFA research have witnessed a notable surge. They primarily came from a limited number of centers and were characterized by low-level evidence. The majority of studies primarily focused on the clinical outcomes of PFA, while revision of PFA and patient satisfaction have emerged as new research areas. [ABSTRACT FROM AUTHOR]

Background: The term 'pandemic paranoia' has been coined to refer to heightened levels of mistrust and suspicion towards other people specifically due to the COVID-19 pandemic. In this study, we examine the international prevalence of pandemic paranoia in the general population and its associated sociodemographic profile. Methods: A representative international sample of general population adults (N = 2510) from five sites (USA N = 535, Germany N = 516, UK N = 512, Australia N = 502 and Hong Kong N = 445) were recruited using stratified quota sampling (for age, sex, educational attainment) and completed the Pandemic Paranoia Scale (PPS). Results: The overall prevalence rate of pandemic paranoia was 19%, and was highest in Australia and lowest in Germany. On the subscales of the PPS, prevalence was 11% for persecutory threat, 29% for paranoid conspiracy and 37% for interpersonal mistrust. Site and general paranoia significantly predicted pandemic paranoia. Sociodemographic variables (lower age, higher population size and income, being male, employed and no migrant status) explained additional variance and significantly improved prediction of pandemic paranoia. Conclusions: Pandemic paranoia was relatively common in a representative sample of the general population across five international sites. Sociodemographic variables explained a small but significant amount of the variance in pandemic paranoia. [ABSTRACT FROM AUTHOR]

Flight delays in passenger air transportation systems may cause numerous troubles to people's daily life. Empirical works show that at the microscopic level there exist different kinds of inter-correlations, while at the macroscopic level the complex system obeys a simple law similar with that for gases. The constructed theoretical models are not consistent with each other, leading to some debates. How the macroscopic law emerges from the detailed cross-correlations is an open question. And an empirical benchmark to end the debates is also required. In the present work, the cosine correlations between airports for three kinds of flight delays are calculated, the relationships of which versus delay time can be re-scaled by the average number of flights H per month to a universal scaling relation, 〈 C o s θ λ 〉 H p = f λ (〈 T λ 〉 H q) , where p and q are exponents. Hence, the system can work in two kinds of critical phases, namely, the stable phases in the durations from 1995 to 2000 and from 2005 to 2019, and the transition phases in the durations from 2001 to 2004 and within the year 2020. The results provide an empirical benchmark for building models. • American domestic passenger flight records from 1995 to 2020 are downloaded. • Three kinds of cosine correlations and delay time are defined from data. • Scaling relations are obtained by rescaling flight number H per month. • The air transportation systems are confirmed to be in critical states. • Two stable phases and two transition phases are identified. [ABSTRACT FROM AUTHOR]