bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical characteristics and effects of inhaled corticosteroid in patients with post-COVID-19 chronic cough during the Omicron variant outbreak
Authors: Xie Pan-Pan , Zhang Yue , Niu Wen-Kai , Tu Bo , Yang Ning , Fang Yun , Shi Ying-Hui , Wang Fu-Sheng , Yuan Xin 
Published: March 2024

Abstract
Background
Chronic cough is a common symptom in patients post the coronavirus disease 2019 (COVID-19). In this study, we aimed to investigate the efficacy of inhaled corticosteroids (ICS) and the clinical characteristics of patients with post-COVID-19 chronic cough during the Omicron era.

Methods
An ambispective, longitudinal cohort study was conducted that included patients with post-COVID-19 who attended the respiratory clinic at our hospital between January 1, 2023, and March 31, 2023 with a complaint of persistent cough lasting more than 8 weeks. At 30 and 60 days after the first clinic visit for post-COVID-19 chronic cough, enrolled patients were prospectively followed up. We compared the changes in symptoms and pulmonary function between patients receiving ICS treatment (ICS group) and those not receiving ICS treatment (NICS group) at the two visits.

Results
A total of 104 patients with post-COVID-19 chronic cough were enrolled in this study (ICS group, n = 51; NICS group, n = 53). The most common symptoms accompanying post-COVID-19 chronic cough were sputum (58.7%, 61/104) and dyspnea (48.1%, 50/104). Seventy-one (82.6%, 71/86) patients had airway hyperresponsiveness, and 49 patients (47.1%, 49/104) were newly diagnosed with asthma. Most patients (95.2%, 99/104) exhibited improvement at 60 days after the first visit. The pulmonary function parameters of the patients in the ICS group were significantly improved compared to the baseline values (P < 0.05), and the improvement in the FEV1/FVC was significantly greater than that in the NICS group (P = 0.003) after 60 days.

Conclusions
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) may contribute to the pathogenesis of asthma, which could be the underlying cause of persistent cough post-COVID-19 infection. Post-COVID-19 chronic cough during the Omicron era was often accompanied by sputum, dyspnea, and airway hyperresponsiveness. ICS treatment did not have a significant impact on symptom management of post-COVID-19 chronic cough; however, it can improve impaired lung function in in these individuals.
Validation of clinical simulation scenarios for the teaching of soft skills in child-centered care
Authors: de Araújo Baptista Vivianne Izabelle , Braga Liliane Pereira , de Sousa Mata Ádala Nayana , Carreiro Bruno Oliveira , dos Santos Rosa Luiz Paulo Gomes , de Morais Hécio Henrique Araújo , de Azevedo George Dantas , Appenzeller Simone 
Published: March 2024

AbstractConsultations with children and their families are complex and require soft skills. However, there is a gap in the medical curriculum concerning these skills, especially as encounter training is often adult-centered. We developed, validated, and applied simulation scenarios that prioritize active participation of children to train soft skills in child-centered care for undergraduate medical students. This is a methodological study to develop three scenarios and a checklist of what is expected. The content was validated by 18 experts. A pre-test was carried out for adjustments. Then, the simulations were applied and evaluated by 18 medical undergraduate students. They included the participation of 6 pediatric simulated patients aged 9–12 years trained by a drama teacher. According to the results, the scenarios and checklist proved to be valid instruments in content terms (ICV-I > 0.8). The scripts were followed by the simulated pediatric patients, but they had difficulty mimicking a hypoactive state. Some were anxious, but everyone enjoyed participating in the feedback. The simulated parents had difficulty participating and giving space to the child's speech. Participants assessed that the simulations performed as they were proposed and, after experimenting them, felt more prepared. The simulations provided an opportunity for students to practice soft skills by interacting with children in a safe environment. Using children as simulated patients is feasible but presents some challenges. Our study has expanded the ways in which children's health content can be taught. We are investigating whether this training leads to better patient outcomes in real clinical settings.
Factors affecting Saudi medical students’ engagement during synchronous and asynchronous eLearning and their impacts on the students’ academic achievement: a national survey
Authors: Alghamdi Amal A. , Alyousif Ghada F. , AlQarni Amani M. , Amer Fatma H. , Alfadhel Taghreed O. , Almutairi Rawan N. , Almutairi Shatha M. , Almutairi Anwar D. , Hakami Nouf A. , Al Ghamdi Kholoud. 
Published: March 2024

Abstract
Background
Nowadays, especially after the COVID-19 pandemic, electronic learning (eLearning) has become a necessity in education. eLearning can be either synchronous, where classes are conducted in real-time, or asynchronous, where students can access the class material at any time. Student-instructor interaction has become essential to the educational process. In the literature, most studies have focused on the preferred methods of eLearning and the barriers to interaction in eLearning. Thus, this study aimed to investigate the factors that affect students’ interactions during eLearning and their impacts on students’ academic achievements.

Methods
A national cross-sectional study was conducted among clinical and pre-clinical medical students who were attending universities in five regions of the Kingdom of Saudi Arabia. Data were collected using a bespoke online self-administered questionnaire covering sociodemographic features, eLearning barriers, preferences, and the impact of eLearning on students’ performance and understanding.

Results
This study involved 1371 medical students, of whom 52.37% were male and 51.13% were in their pre-clinical years of medical college. Of the participants, 59.88% (n = 821) preferred synchronous modalities of eLearning, and 33.33% (n = 457) avoided interaction during synchronous lectures. The main predictors of avoiding interaction during online lectures were being male in the clinical years of medical studies, being in a quiet atmosphere, having difficulties using the eLearning platform, having a poor internet connection, having a visual learning style, being insecure, and the presence of opposite-sex students and facilitators. In addition, 12.25% students (n = 168) reported a lower grade point average (GPA), whereas 11.96% (n = 164) reported an improved GPA after eLearning compared with in-person/onsite learning sessions. The GPA fluctuation was related to gender, personality type, learning style, interaction, and eLearning modality preference. Moreover, the students’ understanding was enhanced by recorded lectures (n = 1,093, 79.72%) and supportive multimedia (n = 1,037, 75.64%), and the easy to use platform (n = 1037, 75.64%).

Conclusion
The synchronous modality of eLearning was the preferred teaching method among the medical students. However, multiple individual, technical, and environmental factors affected their interaction, performance, and understanding during these sessions. Hence, future interventional research is recommended to overcome interaction barriers and enhance student performance and understanding of eLearning.
The ARIMA model approach for the biofilm-forming capacity prediction of Listeria monocytogenes recovered from carcasses
Authors: Dishan Adalet , Barel Mukaddes , Hizlisoy Serhat , Arslan Recep Sinan , Hizlisoy Harun , Gundog Dursun Alp , Al Serhat , Gonulalan Zafer 
Published: March 2024

AbstractThe present study aimed to predict the biofilm-formation ability of L. monocytogenes isolates obtained from cattle carcasses via the ARIMA model at different temperature parameters. The identification of L. monocytogenes obtained from carcass samples collected from slaughterhouses was determined by PCR. The biofilm-forming abilities of isolates were phenotypically determined by calculating the OD value and categorizing the ability via the microplate test. The presence of some virulence genes related to biofilm was revealed by QPCR to support the biofilm profile genotypically. Biofilm-formation of the isolates was evaluated at different temperature parameters (37 °C, 22 °C, 4 °C and − 20 °C). Estimated OD values were obtained with the ARIMA model by dividing them into eight different estimation groups. The prediction performance was determined by performance measurement metrics (ME, MAE, MSE, RMSE, MPE and MAPE). One week of incubation showed all isolates strongly formed biofilm at all controlled temperatures except − 20 °C. In terms of the metrics examined, the 3 days to 7 days forecast group has a reasonable prediction accuracy based on OD values occurring at 37 °C, 22 °C, and 4 °C. It was concluded that measurements at 22 °C had lower prediction accuracy compared to predictions from other temperatures. Overall, the best OD prediction accuracy belonged to the data obtained from biofilm formation at -20 °C. For all temperatures studied, especially after the 3 days to 7 days forecast group, there was a significant decrease in the error metrics and the forecast accuracy increased. When evaluating the best prediction group, the lowest RMSE at 37 °C (0.055), 22 °C (0.027) and 4 °C (0.024) belonged to the 15 days to 21 days group. For the OD predictions obtained at -20 °C, the 15 days to 21 days prediction group had also good performance (0.011) and the lowest RMSE belongs to the 7 days to 15 days group (0.007). In conclusion, this study will guide in using indicator parameters to evaluate biofilm forming ability to predict optimum temperature-time. The ARIMA models integrated with this study can be useful tools for industrial application and risk assessment studies using different parameters such as pH, NaCl concentration, and especially temperature applied during food processing and storage on the biofilm-formation ability of L. monocytogenes.
Development of a nomogram based on the clinicopathological and CT features to predict the survival of primary pulmonary lymphoepithelial carcinoma patients
Authors: Nie Kai , Zhu Lin , Zhang Yuxuan , Chen Yinan , Parrington John , Yu Hong 
Published: March 2024

Abstract
Background
The aim of this study was to develop a nomogram by combining chest computed tomography (CT) images and clinicopathological predictors to assess the survival outcomes of patients with primary pulmonary lymphoepithelial carcinoma (PLEC).

Methods
113 patients with stage I–IV primary PLEC who underwent treatment were retrospectively reviewed. The Cox regression analysis was performed to determine the independent prognostic factors associated with patient’s disease-free survival (DFS) and cancer-specific survival (CSS). Based on results from multivariate Cox regression analysis, the nomograms were constructed with pre-treatment CT features and clinicopathological information, which were then assessed with respect to calibration, discrimination and clinical usefulness.

Results
Multivariate Cox regression analysis revealed the independent prognostic factors for DFS were surgery resection and hilar and/or mediastinal lymphadenopathy, and that for CSS were age, smoking status, surgery resection, tumor site in lobe and necrosis. The concordance index (C‑index) of nomogram for DFS and CSS were 0.777 (95% CI: 0.703–0.851) and 0.904 (95% CI: 0.847–0.961), respectively. The results of the time‑dependent C‑index were internally validated using a bootstrap resampling method for DFS and CSS also showed that the nomograms had a better discriminative ability.

Conclusions
We developed nomograms based on clinicopathological and CT factors showing a good performance in predicting individual DFS and CSS probability among primary PLEC patients. This prognostic tool may be valuable for clinicians to more accurately drive treatment decisions and individualized survival assessment.
The genetic causal relationship between type 2 diabetes, glycemic traits and venous thromboembolism, deep vein thrombosis, pulmonary embolism: a two-sample Mendelian randomization study
Authors: Yang Mingyi , Wan Xianjie , Su Yani , Xu Ke , Wen Pengfei , Zhang Binfei , Liu Lin , Yang Zhi , Xu Peng 
Published: March 2024

Abstract
Objective
To investigate the genetic underpinnings of the association between type 2 diabetes (T2D), glycemic indicators such as fasting glucose (FG), fasting insulin (FI), and glycated hemoglobin (GH), and venous thromboembolism (VTE), encompassing deep vein thrombosis (DVT) and pulmonary embolism (PE), thereby contributing novel insights to the scholarly discourse within this domain.

Methods
Genome-wide association study (GWAS) summary data pertaining to exposures (T2D, FG, FI, GH) and outcomes (VTE, DVT, PE) were acquired from the IEU Open GWAS database, encompassing participants of European descent, including both male and female individuals. Two-sample Mendelian randomization (MR) analyses were conducted utilizing the TwoSampleMR and MRPRESSO packages within the R programming environment. The primary analytical approach employed was the random-effects inverse variance weighted (IVW) method. Heterogeneity was assessed via Cochran’s Q statistic for MR-IVW and Rucker’s Q statistic for MR-Egger. Horizontal pleiotropy was evaluated using the intercept test of MR Egger and MR pleiotropy residual sum and outlier (MR-PRESSO) analysis, with the latter also employed for outlier detection. Additionally, a “Leave one out” analysis was conducted to ascertain the influence of individual single nucleotide polymorphisms (SNPs) on MR results.

Results
The random-effects IVW analysis revealed a negative genetic causal association between T2D) and VTE (P = 0.008, Odds Ratio [OR] 95% confidence interval [CI] = 0.896 [0.827–0.972]), as well as between FG and VTE (P = 0.002, OR 95% CI = 0.655 [0.503–0.853]), GH and VTE (P = 0.010, OR 95% CI = 0.604 [0.412–0.884]), and GH and DVT (P = 0.002, OR 95% CI = 0.413 [0.235–0.725]). Conversely, the random-effects IVW analysis did not detect a genetic causal relationship between FI and VTE (P > 0.05), nor between T2D, FG, or FI and DVT (P > 0.05), or between T2D, FG, FI, or GH and PE (P > 0.05). Both the Cochran’s Q statistic for MR-IVW and Rucker’s Q statistic for MR-Egger indicated no significant heterogeneity (P > 0.05). Moreover, the intercept tests of MR Egger and MR-PRESSO suggested the absence of horizontal pleiotropy (P > 0.05). MR-PRESSO analysis identified no outliers, while the “Leave one out” analysis underscored that the MR analysis was not influenced by any single SNP.

Conclusion
Our investigation revealed that T2D, FG, and GH exhibit negative genetic causal relationships with VTE at the genetic level, while GH demonstrates a negative genetic causal relationship with DVT at the genetic level. These findings furnish genetic-level evidence warranting further examination of VTE, DVT, and PE, thereby making a contribution to the advancement of related research domains.
Paradoxical cancer cell proliferation after FGFR inhibition through decreased p21 signaling in FGFR1-amplified breast cancer cells
Authors: Chi Feng , Griffiths Jason I. , Nath Aritro , Bild Andrea H. 
Published: March 2024

AbstractFibroblast growth factors (FGFs) control various cellular functions through fibroblast growth factor receptor (FGFR) activation, including proliferation, differentiation, migration, and survival. FGFR amplification in ER + breast cancer patients correlate with poor prognosis, and FGFR inhibitors are currently being tested in clinical trials. By comparing three-dimensional spheroid growth of ER + breast cancer cells with and without FGFR1 amplification, our research discovered that FGF2 treatment can paradoxically decrease proliferation in cells with FGFR1 amplification or overexpression. In contrast, FGF2 treatment in cells without FGFR1 amplification promotes classical FGFR proliferative signaling through the MAPK cascade. The growth inhibitory effect of FGF2 in FGFR1 amplified cells aligned with an increase in p21, a cell cycle inhibitor that hinders the G1 to S phase transition in the cell cycle. Additionally, FGF2 addition in FGFR1 amplified cells activated JAK-STAT signaling and promoted a stem cell-like state. FGF2-induced paradoxical effects were reversed by inhibiting p21 or the JAK-STAT pathway and with pan-FGFR inhibitors. Analysis of patient ER + breast tumor transcriptomes from the TCGA and METABRIC datasets demonstrated a strong positive association between expression of FGF2 and stemness signatures, which was further enhanced in tumors with high FGFR1 expression. Overall, our findings reveal a divergence in FGFR signaling, transitioning from a proliferative to stemness state driven by activation of JAK-STAT signaling and modulation of p21 levels. Activation of these divergent signaling pathways in FGFR amplified cancer cells and paradoxical growth effects highlight a challenge in the use of FGFR inhibitors in cancer treatment.
A novel stability analysis of functional equation in neutrosophic normed spaces
Authors: Aloqaily Ahmad , Agilan P. , Julietraja K. , Annadurai S. , Mlaiki Nabil 
Published: March 2024

AbstractThe analysis of stability in functional equations (FEs) within neutrosophic normed spaces is a significant challenge due to the inherent uncertainties and complexities involved. This paper proposes a novel approach to address this challenge, offering a comprehensive framework for investigating stability properties in such contexts. Neutrosophic normed spaces are a generalization of traditional normed spaces that incorporate neutrosophic logic. By providing a systematic methodology for addressing stability concerns in neutrosophic normed spaces, our approach facilitates enhanced understanding and control of complex systems characterized by indeterminacy and uncertainty. The primary focus of this research is to propose a novel class of Euler-Lagrange additive FE and investigate its Ulam-Hyers stability in neutrosophic normed spaces. Direct and fixed point techniques are utilized to achieve the required results.
Plant Infrastructure
Authors: Watson Tim 
Published: March 2024

AbstractThis essay analyzes Miami as a place where plants are a major component of urban infrastructure. The centrality of tropical plants to the growth of Miami connects that city to the history of empire, where control of plant matter was the violent model for the standardization and distribution practices of modern infrastructure. In Miami, the US Department of Agriculture established a Plant Introduction Garden in 1898, with “Agricultural Explorer” David Fairchild activating networks connecting India, Kew Gardens, and Washington to bring mostly Asian tropical fruits, shrubs, and flowers to South Florida. A close reading of archives of botanical gardens, plant nurseries, and community organizations shows that Miami plant infrastructure was created jointly by these elite political/scientific networks and by vernacular, informal networks of Black labor migration and horticultural know-how. The essay focuses on the cultivation of Miami’s best-known plant product, the Haden mango, and the vital role in its propagation played by Black Bahamian gardener Nathan Sands, whose letters to his employer David Fairchild are preserved in the latter’s papers. Recovering the stories of people like Nathan Sands is vital to understanding the development of a global metropolis whose plant infrastructure erased the Black horticultural work on which it depended.
Gut microbiota differences in stunted and normal-lenght children aged 36–45 months in East Nusa Tenggara, Indonesia
Authors: Surono Ingrid S. , Popov Ilia , Verbruggen Sanne , Verhoeven Jessica , Kusumo Pratiwi D. , Venema Koen 
Published: March 2024

The role of the gut microbiota in energy metabolism of the host has been established, both in overweight/obesity, as well as in undernutrition/stunting. Dysbiosis of the gut microbiota may predispose to stunting. The aim of this study was to compare the gut microbiota composition of stunted Indonesian children and non-stunted children between 36 and 45 months from two sites on the East Nusa Tenggara (ENT) islands. Fecal samples were collected from 100 stunted children and 100 non-stunted children in Kupang and North Kodi. The gut microbiota composition was determined by sequencing amplicons of the V3-V4 region of the 16S rRNA gene. Moreover, fecal SCFA concentrations were analyzed. The microbiota composition was correlated to anthropometric parameters and fecal metabolites. The phyla Bacteroidetes (Bacteroidota; q = 0.014) and Cyanobacteria (q = 0.049) were significantly higher in stunted children. Three taxa at genus levels were consistently significantly higher in stunted children at both sampling sites, namely Lachnoclostridium, Faecalibacterium and Veillonella (q < 7 * 10−4). These and 9 other taxa positively correlated to the z-score length-for-age (zlen), while 11 taxa negatively correlated with zlen. Several taxa also correlated with sanitary parameters, some of which were also significantly different between the two groups. All three fecal SCFA concentrations (acetate, propionate and butyrate) and their total were lower in stunted children compared to non-stunted children, although not significant for butyrate, indicating lower energy-extraction by the gut microbiota. Also, since SCFA have been shown to be involved in gut barrier function, barrier integrity may be affected in the stunted children. It remains to be seen if the three taxa are involved in stunting, or are changed due to e.g. differences in diet, hygiene status, or other factors. The observed differences in this study do not agree with our previous observations in children on Java, Indonesia. There are differences in infrastructure facilities such as clean water and sanitation on ENT and Java, which may contribute to the differences observed. The role of the gut microbiota in stunting therefore requires more in depth studies.
Trial registration: the trial was registered at ClinicalTrials.gov with identifier number NCT05119218.