bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Media Usage by United States Plastic Surgery Subspecialty Fellowship Programs
Authors: Tian William M. , Sergesketter Amanda R. , Yi Victoria N. , Sizemore J. Alexander , Record Sydney M. , Zeng Steven L. , Phillips Brett T. 
Published: July 2023

Background:
Social media can be a powerful tool for plastic surgery training programs. Previous studies have shown the value social media may have in integrated residency program recruitment and program reputation. These findings may generalize to fellowship programs, but this space has not been comprehensively studied to date. Therefore, this study aims to characterize plastic surgery fellowship programs’ social media usage and identify subsequent opportunities for program leadership to generate engagement.

Methods:
United States plastic surgery fellowship programs in four major subspecialties (hand, microsurgery, craniomaxillofacial, and aesthetic) were identified and evaluated for social media presence on Instagram, Facebook, and Twitter. Platform-specific parameters were collected and statistically analyzed in aggregate.

Results:
There were a total of 25 Instagram accounts, four Facebook accounts, and three Twitter accounts across all investigated subspecialties. Hand surgery had the greatest social media presence on Instagram (19.5%) and Twitter (3.4%). Microsurgery had the greatest presence on Facebook (4.7%). Between 2015 and 2022, Instagram was the platform with the greatest increase in adoption by fellowship programs. Geographically, microsurgery and craniomaxillofacial accounts were primarily owned by Midwest programs (66.7%, 100%), and aesthetic primarily by programs in the South (83.3%). Number of Instagram posts and followers were not significantly correlated with hospital reputation (P = 0.12, P = 0.63).

Conclusions:
Social media is underutilized by plastic surgery fellowship programs. While Instagram metrics such as posts and followers are not correlated with hospital reputation, the skewed distributions of fellowship accounts, both geographically and across platforms, represent areas of potential growth.
Carpal Tunnel Syndrome: As Seen from the Perspective of the Patient
Authors: Blough Christian L. , Kuschner Stuart H. , Berihun Haben , Tseng Cassie C. , Kulber David A. 
Published: July 2023

Background:
Carpal tunnel syndrome (CTS) is the most common nerve compression syndrome in the upper extremity and is one of the most common problems treated by hand surgeons. Despite its ubiquity—or perhaps because of it—there is a lack of unanimity regarding how best to treat CTS and what the options for treatment are. This study aimed to explore what patients find important when deciding on treatment of CTS in an effort to improve the physician–patient shared decision-making process.

Methods:
An online crowdsourcing platform was used to recruit participants for this study. Study participants were first led through a clinical scenario in which the symptoms of CTS were explained. They were then asked a series of questions regarding what was important to them when deciding upon treatment. A Likert scale was used for responses.

Results:
In total, 268 participant responses were included in the study. A majority of patients responded that all surveyed factors were either very important or important when considering treatment. The risk of surgery was most important, whereas postoperative pain was least important. The risk of surgery was significantly more important to patients than postoperative pain and time out of work. The cost of surgery was significantly more important to patients than postoperative pain.

Conclusions:
Given the lack of consensus regarding an algorithm for the treatment of CTS, the patient’s preference is increasingly important when formulating a treatment plan. The results of this study may better help physicians frame the discussion of treatment options for CTS with their patients.
An Examination of the Use of Large Language Models to Aid Analysis of Textual Data
Authors: Tai Robert H. , Bentley Lillian R. , Xia Xin , Sitt Jason M. , Fankhauser Sarah C. , Chicas-Mosier Ana M. , Monteith Barnas G. 
Published: July 2023

AbstractThe increasing use of machine learning and Large Language Models (LLMs) opens up opportunities to use these artificially intelligent algorithms in novel ways. This article proposes a methodology using LLMs to support traditional deductive coding in qualitative research. We began our analysis with three different sample texts taken from existing interviews. Next, we created a codebook and inputted the sample text and codebook into an LLM. We asked the LLM to determine if the codes were present in a sample text provided and requested evidence to support the coding. The sample texts were inputted 160 times to record changes between iterations of the LLM response. Each iteration was analogous to a new coder deductively analyzing the text with the codebook information. In our results, we present the outputs for these recursive analyses, along with a comparison of the LLM coding to evaluations made by human coders using traditional coding methods. We argue that LLM analysis can aid qualitative researchers by deductively coding transcripts, providing a systematic and reliable platform for code identification, and offering a means of avoiding analysis misalignment. Implications of using LLM in research praxis are discussed, along with current limitations.
Epigenetic Age Acceleration in Surviving versus Deceased COVID-19 Patients with Acute Respiratory Distress Syndrome following Hospitalization
Authors: Bejaoui Yosra , Amanullah Fathima Humaira , Saad Mohamad , Taleb Sarah , Bradic Martina , Megarbane Andre , Hssain Ali Ait , Khalil Charbel Abi , Hajj Nady El 
Published: July 2023

AbstractAging has been reported as a major risk factor for severe symptoms and higher mortality rates in COVID-19 patients. Molecular hallmarks such as epigenetic alterations and telomere attenuation reflect the biological process of aging. Epigenetic clocks have been shown to be valuable tools for measuring biological age in a variety of tissues and samples. As such, these epigenetic clocks can determine accelerated biological aging and time-to-mortality across various tissues. Previous reports have shown accelerated biological aging and telomere attrition acceleration following SARS-CoV-2 infection. However, the effect of accelerated epigenetic aging on outcome (death/recovery) in COVID-19 patients with Acute Respiratory Distress Syndrome (ARDS) has not been well investigated. In this study, we measured DNA methylation age and telomere attrition in 87 severe COVID-19 cases with ARDS under mechanical ventilation. Furthermore, we compared dynamic changes in epigenetic aging across multiples time-points until recovery or death. Epigenetic age was measured using the Horvath, Hannum, DNAm skin and blood, GrimAge, and PhenoAge clocks, whereas telomere length was calculated using the surrogate marker DNAmTL. Our analysis revealed significant accelerated epigenetic aging but no telomere attrition acceleration in severe COVID-19 cases. In addition, we observed epigenetic age deceleration at inclusion vs end of follow-up in recovered but not in deceased COVID-19 cases using certain clocks. When comparing dynamic changes in epigenetic age acceleration (EAA), we detected higher EAA using both the Horvath and PhenoAge clocks in deceased vs recovered patients. The DNAmTL measurements revealed telomere attrition acceleration in deceased COVID19 patients between inclusion and end of follow-up as well as a significant change in dynamic telomere attrition acceleration when comparing patients who recovered vs those who died. In conclusion, EAA and telomere attrition acceleration was associated with treatment outcome in hospitalized COVID-19 Patients with ARDS. A better understanding of the long-term effects of EAA in COVID19 patients and how they might contribute to Long COVID symptoms in recovered individuals is urgently needed.
Transfer of mitochondrial DNA into the nuclear genome during gene editing
Authors: Wu Jinchun , Liu Yang , Ou Liqiong , Gan Tingting , Zhangding Zhengrong , Yuan Shaopeng , Liu Mengzhu , Liu Xinyi , Li Jiasheng , Yin Jianhang , Xin Changchang , Tian Ye , Hu Jiazhi 
Published: July 2023

AbstractMitochondria serve as the cellular powerhouse, and their distinct DNA makes them a prospective target for gene editing to treat genetic disorders. However, the impact of genome editing on mitochondrial DNA (mtDNA) stability remains a mystery. Our study reveals previously unknown risks of genome editing that both nuclear and mitochondrial editing cause broad transfer of mitochondrial DNA segments into the nuclear genome in various cell types including human cell lines, primary T cells, retinal cells, and mouse embryos. Furthermore, drug-induced mitochondrial stresses and mtDNA breaks exacerbate this transfer of mtDNA into the nuclear genome. Notably, we observe that the newly developed mitochondrial base editor DdCBE can also cause widespread mtDNA integrations. However, we provide a practical solution to suppress the transfer of mtDNA by co-expressing TREX1 or TREX2 exonucleases during DdCBE editing. These findings also shed light on the origins of mitochondrial-nuclear DNA segments.
Homeostatic macrophages prevent preterm birth and improve neonatal outcomes by mitigatingin uterosterile inflammation
Authors: Garcia-Flores Valeria , Liu Zhenjie , Romero Roberto , Pique-Regi Roger , Xu Yi , Miller Derek , Levenson Dustyn , Galaz Jose , Winters Andrew D. , Farias-Jofre Marcelo , Panzer Jonathan J. , Theis Kevin R. , Gomez-Lopez Nardhy 
Published: July 2023

SUMMARYPreterm birth (PTB), often preceded by preterm labor, is a major cause of neonatal morbidity and mortality worldwide. Most PTB cases involve intra-amniotic inflammation without detectable microorganisms, termedin uterosterile inflammation, for which there is no established treatment. Here, we propose homeostatic macrophages to prevent PTB and adverse neonatal outcomes caused byin uterosterile inflammation. Single-cell atlases of the maternal-fetal interface revealed that homeostatic maternal macrophages are reduced with human labor. M2 macrophage treatment prevented PTB and reduced adverse neonatal outcomes in mice within uterosterile inflammation. Specifically, M2 macrophages halted premature labor by suppressing inflammatory responses in the amniotic cavity, including inflammasome activation, and mitigated placental and offspring lung inflammation. Moreover, M2 macrophages restored neonatal gut homeostasis and enhanced resistance to systemic bacterial infection. Our findings show that M2 macrophages are a promising strategy to mitigate PTB and improve neonatal outcomes fromin uterosterile inflammation.
Self-assembling Gn head ferritin nanoparticle vaccine provides full protection from lethal challenge of Dabie Bandavirus in aged ferrets
Authors: Kim Dokyun , Kim Eunha , Kim Semi , Chung Youseung , Cho Sung-Dong , Choi Yunseo , Lai Chih-Jen , Dai Xinghong , Kang Seokmin , Kwak Mi-Jeong , Cha Inho , Liu Ziyi , Choi Younho , Park Su-Hyung , Choi Young Ki , Jung Jae U. 
Published: July 2023

AbstractDabie Bandavirus (DBV), previously known as Severe Fever with Thrombocytopenia Syndrome (SFTS) Virus, induces a characteristic thrombocytopenia with a mortality rate ranging from 12% to as high as 30%. The sero-prevalence of DBV in healthy people is not significantly different among age groups, but clinically diagnosed SFTS patients are older than ∼50 years, suggesting that age is the critical risk factor for SFTS morbidity and mortality. Accordingly, our immune-competent ferret model demonstrates an age (>4 years old)-dependent DBV infection and pathogenesis that fully recapitulates human clinical manifestation. To protect the aged population from DBV-induced SFTS, vaccine should carry robust immunogenicity with high safety profile. Previous studies have shown that glycoproteins Gn/Gc are the most effective antigens for inducing both neutralizing antibody (NAb)- and T cell-mediated immunity and, thereby, protection. Here, we report the development of a protein subunit vaccine with 24-mer self-assembling ferritin (FT) nanoparticle to present DBV Gn head region (GnH) for enhanced immunogenicity. Anion exchange chromatography and size exclusion chromatography readily purified the GnH-FT nanoparticles to homogeneity with structural integrity. Mice immunized with GnH-FT nanoparticles induced robust NAb response and T-cell immunity against DBV Gn. Furthermore, aged ferrets immunized with GnH-FT nanoparticles were fully protected from DBV challenge without SFTS symptoms such as body weight loss, thrombocytopenia, leukopenia, and fatality. This study demonstrates that DBV GnH-FT nanoparticles provide an efficient vaccine efficacy in mouse and aged ferret models and should be an outstanding vaccine candidate targeted for the aged population against fatal DBV infection.ImportanceDabie Bandavirus (DBV) is an emerging tick-borne virus that causes Severe Fever with Thrombocytopenia Syndrome (SFTS) in infected patients. Human SFTS symptoms progress from fever, fatigue, and muscle pain to the depletion of white blood cells and platelets with fatality rates up to 30%. The recent spread of its vector tick to over 20 states in the United States increases the potential for outbreaks of the SFTS beyond the East Asia. Thus, the development of vaccine to control this rapidly emerging virus is a high priority.In this study, we applied self-assembling ferritin (FT) nanoparticle to enhance the immunogenicity of viral Gn head domain as a vaccine target. Mice immunized with the GnH-FT nanoparticle vaccine induced potent antibody responses and cellular immunity. Immunized aged-ferrets were fully protected from the lethal challenge of DBV. Our study describes the GnH-FT nanoparticle vaccine candidate that provides protective immunity against the emerging DBV infection.
Healthcare service quality and patient satisfaction: a conceptual framework
Authors: Ali Javed , Jusoh Ahmad , Idris Norhalimah , Nor Khalil Md 
Published: July 2023

Purpose The current study aims at developing a conceptual framework containing original dimensions of SERVQUAL and adding two modified dimensions: patient safety and medical professionalism in healthcare service quality (HSQ) model.Design/methodology/approach An extensive review of HSQ literature pertaining to its dimensions and models with respect to content analysis and bibliometric studies of service quality in healthcare and SERVQUAL in healthcare were performed on 47 relevant studies, 4,689 and 529 documents after applying inclusion and exclusion criteria. Google Scholar and Scopus were the primary sources to find the relevant documents.Findings The content analysis was conducted to group HSQ dimensions into seven themes. Co-occurrence analysis of author keywords was performed in VOSviewer to find the links between service quality, SERVQUAL and proposed dimensions. Organization and analysis of different HSQ models and dimensions emerged from the literature result in a comprehensive conceptual framework comprising modified dimensions of healthcare service quality – medical professionalism and patient safety.Originality/value SERVQUAL is a widely accepted, tested and validated model in perceiving HSQ from the lenses of patients. But it does not cover the complex nature of healthcare service, thus requiring modification and the addition of new contextual dimensions. Therefore, a comprehensive conceptual framework is developed to validate and test quantitatively.
Investigating the performance of quality management practices induced by top management commitment and Kaizen initiatives: evidence from Jordanian public hospitals in the aftermath of COVID-19
Authors: Alsmairat Mohammad A.K. , El Baz Jamal , Al-Ma'aitah Noor 
Published: July 2023

PurposeThis study investigates the effects of top management commitment (TMC) and Kaizen on quality management practices (QMP) and how the latter influence the performance of Jordanian public hospitals in the aftermath of COVID-19.Design/methodology/approachA survey-based questionnaire was employed to collect data from 222 practitioners and professionals working in public hospitals in Jordan. Partial least squares structural equation modeling (PLS-SEM) was undertaken to analyze data.FindingsSignificant and positive effects of TMC and Kaizen (continuous improvement) on QMP are highlighted by the results. The findings also show that QMP has a positive and significant impact on public hospitals' performance. Furthermore, the effects of TMC and Kaizen on performance were also found to be significant.Research limitations/implicationsPractitioners and researchers will gain a greater understanding of how implementing QMP can enhance the performance of public hospitals in the context of the COVID-19 outbreak. The results underline the important role of Kaizen and TMC in the success of QMP and their effect on performance. This research is a cross-sectional study, and there is a need to conduct further empirical investigation based on secondary data or objective measurement of performance.Originality/valueThis research is one of the first studies to investigate the effects of QMP on public hospitals' performance following the COVID-19 outbreak. This study is one of the empirical examinations of QMP and Kaizen in developing countries by investigating Jordanian public hospitals.
Who wants to be a social entrepreneur? Exploring the antecedents interrelationship via modified Mair Noboa model
Authors: Iqbal Mehree , Geneste Louis , Weber Paull 
Published: July 2023

Purpose
This paper aims to contribute to the field of social entrepreneurship by exploring the interrelationships among the antecedents of social entrepreneurial intention (SEI) through the lens of Mair Noboa model (MNM). In recent years, many researchers have applied the antecedents of MNM to determine SEI. However, interrelationship among these antecedents has not been a focus of enquiry despite the repeated scholarly calls.

Design/methodology/approach
Applying quantitative methodology, the data was collected from a Web-based survey distributed across Bangladesh (N = 412). Data analysis was carried out based on the covariance-based structural equation modelling technique to confirm the hypotheses. The final measurement and structural models met all the requirements for reliability, model fit, convergent validity and discriminant validity. The proposed hypotheses were tested based on direct relationships and mediating effects.

Findings
The findings suggested that interrelationships among these antecedents do increase individuals’ intentions to become social entrepreneurs.

Originality/value
This paper fills an important knowledge gap by exploring the interrelationships among moral obligation, empathy, perceived social support and social entrepreneurial self-efficacy. This paper stressed identifying whether the SEI enhances through the interrelationships among these antecedents or not. The study findings bring new theoretical and practical implications on the role of empathy, moral obligation, perceived social support and social entrepreneurial self-efficacy.
Evaluation of portable gas chromatography–mass spectrometry (GC–MS) for the analysis of fentanyl, fentanyl analogs, and other synthetic opioids
Authors: Leary Pauline E. , Kizzire Koby L. , Chan Chao Rebecca , Niedziejko Michael , Martineau Noah , Kammrath Brooke W. 
Published: July 2023

AbstractPotent synthetic opioids including fentanyl and its analogs are frequently encountered in the field and require detection and identification by first responders to maintain the safety of drug abusers, first responders, health‐care providers, and the public at large. Due to the low concentration at which these substances may be encountered and the complicating matrices within which they may be dispersed, the use of portable gas chromatography–mass spectrometry (GC–MS) for their identification in the field offers great potential value. This research established that portable GC–MS is a useful method for the detection and identification of a large number of synthetic opioids, especially fentanyl and its analogs. In this study, 250 synthetic opioids and related substances including 210 fentanyl analogs were analyzed using portable GC–MS. It was concluded that 225 of the 250 (90.0%) opioids analyzed were successfully detected onboard at the time of analysis and identified as either the substance (55.2%) or an analog (34.8%). These outcomes have equivalent benefit for the field analysis of illicit drugs due to both initiating the same subsequent actions by first responders.
High prevalence of HPV16 and high‐grade cytology in women undergoing active surveillance for cervical intraepithelial neoplasia grade 2
Authors: Damgaard Rikke Kamp , Jenkins David , Stoler Mark H. , van de Sandt Miekel M. , Lycke Kathrine Dyhr , de Koning Maurits N. C. , Quint Wim G. V. , Steiniche Torben , Petersen Lone Kjeld , Hammer Anne 
Published: July 2023

AbstractIntroductionMany countries have adopted active surveillance in women with cervical intraepithelial neoplasia grade 2 (CIN2), leaving the lesion untreated. However, there is a lack of consensus on the eligibility criteria for active surveillance across countries, with some abstaining from active surveillance in women with human papilloma virus 16 (HPV16) or a high‐grade cytology. Here, we aimed to describe the distribution of HPV genotypes, age, and cytology in women undergoing active surveillance for CIN2.Material and methodsWe conducted a single‐center cross‐sectional study on women aged 23–40 undergoing active surveillance for CIN2 during 2000–2010. Women were identified through the Danish Pathology Data Bank (DPDB) at Aarhus University Hospital, Denmark. We collected information on basic characteristics and results of histopathological examinations via DPDB. Women were deemed eligible for inclusion if they had a subsequent biopsy after index CIN2, and had no prior record of CIN2+, hysterectomy, or cone biopsy. Archived biopsies underwent HPV genotyping using the HPV SPF10‐ DEIA‐LiPA25 system, and the diagnosis was re‐evaluated by three expert pathologists. We used the Chi squared‐test (p‐value) for comparison across groups.ResultsWe identified 3623 women with CIN2 of whom 455 (12.6%) were included. Most women were 30 years or younger (73.8%), and half (48.8%) had a high‐grade index cytology. The prevalence of any high‐risk HPV was 87.0%, with HPV16 being the most prevalent genotype (35.6%). The prevalence of HPV16 was significantly higher in women aged 30 or younger (39.3%) compared to women older than 30 years (25.2%) (p = 0.006). Upon expert review, 261 (57.4%) had CIN2 confirmed, whereas 56 (12.3%) were upgraded to CIN3 and 121 (26.6%) were downgraded to CIN1/normal. While the HPV16 prevalence was similar between community and expert confirmed CIN2, the prevalence of HPV16 was significantly higher in women with expert CIN3 compared to women with expert CIN1/normal (64.3% vs. 19.0%, p = 0.001).ConclusionsThe high prevalence of HPV16 and high‐grade cytology imply that these women may be perceived as a high‐risk population and non‐eligible for active surveillance in countries outside Denmark. Future studies should investigate the importance of HPV, age, cytology, and expert review on risk of progression to help refine criteria for active surveillance.