bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seroprevalence against SARS-CoV-2 in health workers: evaluation 6 months after the complete scheme and reinfections
Authors: Cureño-Díaz Mónica Alethia , Vargas-De-León Cruz , Salaza Ma. Isabel , Cruz-Cruz Clemente , Loyola-Cruz Miguel Ángel , Durán-Manuel Emilio Mariano , Zamora-Pacheco Edwin Rodrigo , Bravata-Alcántara Juan Carlos , Fernández-Sánchez Verónica , Bello-López Juan Manuel , Gabriela Ibáñez-Cervantes 
Published: October 2022

Abstract
Background
One of the priority lines for the containment of the SARS-CoV-2 virus pandemic is the vaccination programs for health personnel. However, with the emergence of highly contagious strains such as the Omicron variant, it is necessary to know the serological status of health personnel to make decisions for the application of reinforcements.
Objectives
To determine the seroprevalence against SARS-CoV-2 in health workers in a Mexican hospital, after six months of the administration of the Pfizer BioNTech vaccine and the association between comorbidities, response to the vaccine and reinfections.
Methods
Antibodies against SARS-CoV-2 were determined by ELISA assays in 262 employees of the Hospital Juárez de México with and without a history of COVID-19. A beta regression analysis was performed to study the associated comorbidities and their relationship with the levels of antibodies against SARS-CoV-2. Finally, epidemiological follow-up was carried out to detect reinfections in this population.
Results
A significant difference in SARS-CoV-2 seroprevalence was observed in workers with a history of COVID-19 prior to vaccination, compared to those without a history of the disease. Beta regression showed that workers with a history of COVID-19 have greater protection, compared to those without a history of the infection. Neutralizing antibodies were found to be decreased in alcoholic and diabetic subjects. Eight cases with omicron reinfections were identified, and gender and obesity are associated with the presence of reinfections.
Conclusion
The response to the vaccine was influenced by the history of SARS-CoV-2 infection and associated comorbidities. The above highlights the importance of prioritizing this segment of the population for reinforcements in periods of less than one year to guarantee their effectiveness against new variants.
Response surface methodology for optimization of biodiesel production by the Penicillium commune NRC 2016 and its mutants
Authors: Abdelhamid Sayeda , El-Shatoury Einas , Asker Mohsen , Abd-El-Aa Samir , Attallah Ashraf , Elsoud Mostafa Abo , Mohamed Sahar 
Published: October 2022

Abstract
Background: With increasing energy requirements and limited fuel resources, finding cheap renewable sources is essential. The objective of our current economy was to enhance biodiesel production from the Penicillium commune NRC 2016.
Methods: Four mutagenic agents were used to improve the lipid production from P. commune NRC 2016; a physical agent was gamma radiation and the chemical mutagenic agents including ethyl methanesulfonate (EMS), ethidium bromide (EB), and sodium azide (NaN3). Inter-Simple Sequence Repeats molecular (ISSR) marker was used to compare the wild type of P. commune NRC 2016 and the resulting mutants and the result showed a major difference between the wild type and its mutants. Response surface methodology was used to optimize the culture conditions for lipid production by P. commune NRC 2016 and the induced mutants using hydrolysate that was produced from bagasse using B. cereus 3SME.
Results: The maximum lipid content (g/l) for P. commune NRC 2016 wild type, gamma mutant, EB mutant, and EMS mutant were 2.01, 2.55, 1.71, and, 2.27, respectively. Gas chromatography analysis for biodiesel compositions produced from P. commune NRC 2016 wild type and its mutants were mainly C16-C18 that suitable to produce biodiesel. The physical properties such as density, viscosity, cloud point, pour point, and cetane number for biodiesels from P. commune NRC 2016 and its mutants were similar to standard biodiesel and could be applied on large scale.
The Impacts of a Clown Doctor Program on an Adolescent Psychiatric Unit: A Mixed Methods Investigation
Authors: Melvin Glenn , Hofmann Jovell Ling , Pavlou Christine , Lu Sinh , Verstandig Stephanie , Taylor Ashleigh , Desilva Deandra , Cameron Lauren , Evans Subhadra 
Published: October 2022

Abstract
Inpatient psychiatric care is often required to manage adolescents with severe mental health problems. As the ward can be a confronting and challenging environment, this study explored the influence of clown doctors on adolescents. Seventy-seven adolescents (13–18 years) from Monash Health Stepping Stones Adolescent Unit and 11 clown doctors from The Humour Foundation participated in the study. Bespoke surveys were developed by the research team to collect quantitative self-report data and qualitative responses. Descriptive statistics and thematic analysis suggested that adolescents experienced high levels of fun as well as positive mood and feelings during a clown doctor session. Clown doctor programs show promise within an inpatient unit with opportunities for further development being identified. With considerations of the findings, future clown doctor training could include tailoring sessions to the developmental needs of adolescents and developing strategies on how to interact with adolescents who have a mental health disorder.
Superionic effect and anisotropic texture in Earth’s inner core driven by geomagnetic field
Authors: Sun Shichuan , He Yu , Yang Junyi , Lin Yunfeng , Li Jinfeng , Kim DuckYoung , Li Heping , Mao Ho-Kwang 
Published: October 2022

AbstractSeismological observations suggest that Earth’s inner core (IC) is heterogeneous and anisotropic, presenting faster seismic velocity in the polar direction than in the equatorial direction1-4, significant anisotropy changes with depth5-10, and hemispherical dichotomy10-15. Increasing seismological observations make the understanding of the mineralogy and mechanism for the complex IC texture extremely challenging, and the driving force for the anisotropic texture remains unclear16-18. Under IC conditions, hydrogen becomes highly diffusive like liquid in the hexagonal-close-packed (hcp) solid Fe lattice, which is known as the superionic state.19,20. Here, we reveal that H-ion diffusion in superionic Fe-H alloy is anisotropic with the lowest barrier energy along the c-axis. In the presence of external electric field, the alignment of the Fe-H lattice with the c-axis pointing to the field direction is energetically favourable. Due to this effect, Fe-H alloys are aligned with the c-axis parallel to the equatorial plane by the diffusion of the north–south dipole geomagnetic field into the inner core. The aligned texture driven by the geomagnetic field presents significant seismic anisotropy, which explains the anisotropic seismic velocities in the IC, suggesting a strong coupling between the IC structure and geomagnetic field.
Incidence, risk factors, and outcome of advanced NSCLC patients receiving antiangiogenic therapy with thromboembolic events: a retrospective cohort study
Authors: Ou Wei-Fan , Liao Pei-Ya , Hsu Yu-Wei , Chen Kun-Chieh , Hsu Kuo-Hsuan , Huang Yen-Hsiang , Tseng Jeng-Sen , Chang Gee-Chen , Yang Tsung-Ying 
Published: October 2022

Abstract
Background
Antiangiogenic therapy is widely used in advanced non-small cell lung cancer (NSCLC) patients. The purpose of this study was to investigate the incidence, risk factors, and outcome of advanced NSCLC patients receiving antiangiogenic therapy with thromboembolic events (TE).
Methods
This was a retrospective study, which included advanced NSCLC patients receiving antiangiogenic therapy from March 2013 to May 2021 at Taichung Veterans General Hospital. All TE were confirmed by objective image studies. We further categorized TE into disease-related and treatment-related according to the tumor control status when TE occurred.
Results
A total of 427 patients were included. The overall incidence of TE was 10.1% (n = 43); among these patients, 28 (6.6%) and 15 (3.5%) patients were categorized into disease- and treatment-related TE, respectively. Multivariate analysis suggested that the use of hormone and proteinuria independently predicted a higher TE incidence among patients with disease-related TE (adjusted odds ratio [aOR] 2.79 [95% CI 1.13 = 6.92]; P = 0.027) and treatment-related TE (aOR 4.30 [95% CI 1.13–16.42]; P = 0.033), respectively. As compared with patients without TE, disease-related TE significantly predicted a shorter median overall survival (21.6 vs. 31.4 months, adjusted hazard ratio [aHR] 1.30 [95% CI 1.05–1.61]; P = 0.017), but patients with treatment-related TE had comparable survival time (32.7 vs. 31.4 months; aHR 1.05 [95% CI 0.57–1.61]; P = 0.876).
Conclusion
Patients receiving antiangiogenic therapy with TE should be further differentiated whether it is treatment- or disease-related, because the two groups had different risk factors and influences on outcome.
Technological parameters optimization and numerical simulation of hot pushing pipe bending process
Authors: Huang Lili , Zhang Xiangwei , Lu Xiaoyang , Zhong Qingyun 
Published: October 2022

Abstract
Elbow pipes are widely used in many industries such as petroleum, chemical, metallurgy. Of various elbow pipe forming technology, hot pushing pipe bending process is an efficient and economical one for processing elbow pipes. This paper introduced the technological process and plastic deformation mechanism of hot pushing pipe bending. Four deformation assumptions were proposed to describe the main deformation characteristics in the bending process. The proportional relationship between the bending deformation and the diameter expansion deformation was derived and the horn mandrel was designed. The forming process of the elbow was simulated and the metal flow in the forming process of the elbow was obtained. By using orthogonal experiment, the influence rules of heating temperature, pushing speed, friction factor, bending angle and initial bending radius on the process were obtained, and the optimal process parameters were obtained. It will play a positive role in revealing the pipe forming mechanism and have a guiding effect on production practice.
Immune checkpoint inhibitor for different age patients with NSCLC in efficacy: a systematic review and Meta-analysis
Authors: Zhang Qi , Zheng Tian-Tian , Xu Lin , Gao Jin-Wei , Wang Ze-Sheng , Guo Yi-bin , Liang Sheng-chang , Qu Kun-Peng 
Published: October 2022

Abstract

Objective
This article is a Meta-analysis aiming to systematically evaluate the difference in efficacy of immune checkpoint inhibitor in patients with non-small cell lung cancer (NSCLC) by age.
Methods
We performed a Meta-analysis of published randomized controlled trials concerning for patients with NSCLC by age. We compared overall survival among three groups (age < 65 years, age ≥ 65 years, age ≥ 75 years). Hazard ratios (HRs) and 95% confidence intervals (CIs) were collected and pooled.
Results
A total of 10,291 patients from 17 RCTs were included. In the group under age 65 years, immune checkpoint inhibitor can significantly prolong the overall survival of patients with NSCLC (HR = 0.73, 95% CI: 0.66∼0.81, P < 0.00001). Meanwhile, it can extend the overall survival of patients with NSCLC (HR = 0.78, 95% CI:0.71∼0.84, P < 0.00001) in the group older than 65 years. However, it has no significant effect on the overall survival of NSCLC patients (HR = 0.88, 95% CI:0.72∼1.08, P > 0.05) in the group older than 75 years.
Conclusions
According to the Meta-analysis, immune checkpoint inhibitor can prolong the overall survival of patients with NSCLC between the two groups(age < 65 years and age ≥ 65 years). However, it has no significant effect on the overall survival in the group older than 75 years, which may be related to the poor physique of elderly patients and impacted by other diseases.
Understanding Chlorella vulgaris acclimation strategies on textile supports can improve the operation of biofilm-based systems
Authors: Li Su Fang , Fanesi Andrea , Martin Thierry , Lopes Filipa 
Published: October 2022

Abstract
The interest in microalgae biofilm-based systems has been increasing lately due to their high potential for biomass production. However, more studies focusing on the first stages of this bioprocess, such as support selection and inoculum properties, which may finally affect biomass productivity, are required. The aim of this study was therefore to assess the impact of support nature and inoculum properties on microalgae biofilms productivity and physiology. Results suggest that physico-chemical properties of the support (micro-texture, hydrophobicity and chemical functional groups) affect the attachment of Chlorella vulgaris. Significant differences in cell-distribution pattern and biofilm structure on polyamide-based (Terrazzo) and Cotton-based fabrics were observed. Compared to Cotton, cells grown on Terrazzo showed higher biomass productivity (3.20-fold), photosynthetic capacity (1.32-fold) and carbohydrate pool (1.36-fold), which may be explained by differences in light availability due to support micro-texture. A high inoculum density, resulted in a lower biofilm growth likely due to a lower light/nutrient availability for the cells. Furthermore, when immobilized on fabrics, cells pre-acclimated to 350 µmol photons m-2 s-1 grew faster than those pre-acclimated to low light (50 µmol photons m-2 s-1), demonstrating the influence of light-history of the inoculum cells on biofilm productivity. Therefore, this work confirmed the importance of support and inoculum properties for biofilm-based systems.
A Gelatin Hydrogel Nonwoven Fabric Improves Outcomes of Subcutaneous Islet Transplantation
Authors: Kanai Norifumi , Inagaki Akiko , Nakamura Yasuhiro , Imura Takehiro , Mitsugashira Hiroaki , Saito Ryusuke , Miyagi Shigehito , Watanabe Kimiko , Kamei Takashi , Unno Michiaki , Tabata Yasuhiko , Goto Masafumi 
Published: October 2022

Abstract
Subcutaneous islet transplantation is a promising treatment for severe diabetes; however, poor engraftment hinders its prevalence. We previously reported that a recombinant peptide (RCP) enhances subcutaneous islet engraftment. However, it is impractical for clinical use because RCP must be removed when transplanting islets. We herein investigated whether a novel bioabsorbable gelatin hydrogel nonwoven fabric (GHNF) could improve subcutaneous islet engraftment. A silicon spacer with or without GHNF was implanted into the subcutaneous space of diabetic mice. Syngeneic islets were transplanted into the pretreated space or intraportally (Ipo group). Blood glucose, intraperitoneal glucose tolerance, immunohistochemistry, CT angiography and gene expression were evaluated. The cure rate and glucose tolerance of the GHNF group were significantly better than in the control and Ipo groups (p < 0.01, p < 0.05, respectively). In the GHNF group, a limited increase of vWF-positive vessels was detected in the islet capsule, whereas laminin (p < 0.05), collagen III and IV were considerably enhanced. TaqMan arrays revealed a significant upregulation of 19 target genes (including insulin-like growth factor-2) in the pretreated space. GHNF markedly improved the subcutaneous islet transplantation outcomes in comparison to intraportal islet transplantation, likely due to ECM compensation and protection of islet viability by various growth factors, rather than enhanced neovascularization.
Prediction of the Synergistic Effect of Antimicrobial Peptides and Antibiotics via Supervised Machine Learning Technique
Authors: Olcay Basak , Ozdemir Gizem Dilara , Ozdemir Mehmet Akif , Ercan Utku Kursat , Guren Onan , Karaman Ozan 
Published: October 2022

Abstract
Background: Infectious diseases not only cause severe health issues but also burden the healthcare system. Therefore, the effective treatment of those diseases is crucial. A variety of conventional therapies including antibiotics as well as novel treatment methods namely antimicrobial peptides (AMP) are utilized for the treatment of infections. However, because of the drawbacks of current therapies such as the risk of the emergence of drug-resistant microorganisms, low stability of the agent in its environment as well as toxicity problems, new solutions are still being investigated. A recent approach is the usage of these two different antimicrobial agents in combination. Nonetheless, the determination of synergism is time-consuming and depends on several experimental studies. Prediction of different biological outcomes with machine learning (ML) algorithms is a widespread research field recently, and AMP with ML studies is one of the most researched areas further to understand the underlying associations of the mechanism of interest. Although many characteristics and biological outcomes of AMPs and antibiotics have been studied with different ML methods, no investigation reported on predicting the synergistic effects of AMP and antibiotics.
Results: Supervised ML models were implemented to accurately classify the synergistic effect of AMPs and antibiotics within the scope of the proposed study. The results demonstrated that the hyperparameter-optimized Light Gradient Boosted Machine Classifier (LGBMC) yielded the best test accuracy of 76.92% for predicting the synergistic effect when compared to other trained models. Also, the feature analysis of the LGBMC model reveals that the target microbial strain, the minimum inhibitory concentrations (MIC) of the AMP and the antibiotic, and the used antibiotic are the most important features for the prediction of synergistic effect. Moreover, the results of the feature importance analysis are consistent with recently reported experimental studies in the literature.
Conclusion: This study presents a novel and effective approach that aims to automatically and accurately predict the interactions between AMPs and antibiotics by various supervised ML algorithms, for the first time. Furthermore, this study reveals that ML algorithms can predict the synergistic activity of two different antimicrobial agents without the need for complex and time-consuming experimental procedures.
How Alertness vs. Fatigue Impact Interrogators: An Actigraphic Study of Field Investigations
Authors: Krizan Zlatan , Miller Anthony J. , Meissner Christian A. , Jones Matthew 
Published: October 2022

Abstract
Investigative interviews (e.g., interrogations) are a critical component of criminal, military, and civil investigations. However, how levels of alertness (vs. sleepiness) of the interviewer impact outcomes of actual interviews is unknown. To this end, the current study tracked daily fluctuations in alertness among professional criminal investigators to predict their daily experiences with actual field interviews. Fifty law-enforcement investigators wore a sleep-activity tracker for two weeks while keeping a daily-diary of investigative interviews conducted in the field. For each interview, the investigators indicated how well they established rapport with the subject, how much resistance they encountered, how well they maintained their own focus and composure, and the overall utility of intelligence obtained. Daily alertness was biomathematically modeled from actigraphic sleep duration and continuity estimates and used to predict interview characteristics. Investigators consistently reported more difficulties maintaining their focus and composure as well as encountering more subject resistance during interviews on days with lower alertness. Better interview outcomes were also reported on days with subjectively better sleep, while findings were generally robust to inclusion of covariates. The findings implicate adequate sleep as a modifiable fitness factor for collectors of human intelligence.
Hereditary acute myeloid leukemia associated with C-terminal CEBPA germline variants
Authors: Harrigan Amye M. , Trottier Amy M. 
Published: October 2022

Abstract
Acute myeloid leukemia with germline CEBPA mutation is a subtype of acute myeloid leukemia that is associated with a favorable prognosis. Most of the reported cases of acute myeloid leukemia with CEBPA germline variants involve a germline variant in the N-terminus and a somatic variant in the C-terminus. There are only a few reported cases where the CEBPA germline variant has been identified in the C-terminus and the somatic variant in the N-terminus. This case report and review of the literature illustrates that, although acute myeloid leukemia with CEBPA N- or C-terminal germline variants have certain similarities such as atypically young age at diagnosis, frequent relapse, and favourable overall prognosis, there are also significant differences such as lower life-time penetrance of acute myeloid leukemia and shorter time to relapse for germline C-terminal cases. These findings add important information on the natural history and clinical outcomes of acute myeloid leukemia with germline CEBPA C-terminal variants and these findings should be considered in the management of patients and their family members.
Olive: A potential suppressor for cervical cancer by upregulation of p21
Authors: Patel Love , Deng Zuliang , Zhu Ziwen , Lequio Marco , Zhang Justin , Hough Jacob , Xiao Huaping , Bai Qian , Wakefield Mark R , Fang Yujiang 
Published: October 2022

Abstract
Background
Cervical cancer (CC) is the second deadliest for women between the ages of 20 to 39 years. Even with prevention tactics for screening, incident rates and mortality of CC remain high. Olive has been shown to have many beneficial effects in humans concerning cardiovascular disease and inflammation. Despite these promising benefits, little is known about its effect on CC. This study examined the effects and mechanism of effects of olive extract (OE) on the HeLa cervical cancer cell line.
Methods
We utilized clonogenic survival assay, quick cell proliferation assay, and caspase-3 activity to investigate the effect of OE on proliferation and apoptosis of CC cell line HeLa. To investigate the mechanisms behind these findings, RT-PCR and immunohistochemistry (IHC) were performed.
Results
OE inhibited the growth and proliferation of HeLa cells. In comparison to the control, the percentage of colonies as well as the optical density of the CC cells was found to be decreased. In addition, the relative activity of caspase-3, a marker for apoptosis, was increased after treatment with OE. The anti-proliferative effect of OE on HeLa cells correlated with the increase of an anti-proliferative molecule p21. However, the pro-apoptotic effect of OE was not correlated with change of major pro-apoptotic or anti-apoptotic molecules examined in this study.
Conclusion
Our study suggests that OE inhibits growth of HeLa CC cells by upregulation of p21. Further study on the effects of OE on CC and other cancers is warranted by these results.