bluuebunny/crossref_metadata_2025_split huggingface dataset:
Light-wave coherent control of the insulator-to-metal transition in a strongly correlated material
Authors: Silva Rui Emanuel Ferreira da , Molinero Eduardo B. 
Published: June 2022

Abstract
The use of intense tailored light fields is the perfect tool to achieve ultrafast control of electronic properties in quantum materials. Among them, Mott insulators are materials in which strong electron-electron interactions drive the material into an insulating phase. When shinning a Mott insulator with a strong laser pulse, the electric field may induce the creation of doublon-hole pairs, triggering an insulator-to-metal phase transition. In this work, we take advantage of the threshold character of this insulator-to-metal transition and we propose a pump-probe scheme that consists of a mid-infrared laser pulse and a train of short pulses separated by half-period of the mid-infrared with alternating phases. By varying the time-delay between the two pulses and the internal carrier envelope phase of the short pulses, we achieve control of the phase transition, that leaves it fingerprint at its high harmonic spectrum.
Learner Performance-based Behavior Optimization Algorithm: A Functional Case Study
Authors: Ahmed Shahad , Rashid Tarik A. 
Published: June 2022

Abstract
A novel algorithm called learner performance-based behavior algorithm(LPB) was proposed for single and multi-objective by Chnoor M. Rahmanand Tarik A. Rashid in 2021. LPB proved its ability to deal with complex optimizationproblems compared to the dragonfly algorithm (DA), genetic algorithm(GA), and particle swarm optimization (PSO). This paper presents and explainsthe implementation of the LPB algorithm, and it applies it as a model in a casestudy to maximize a fitness function. As a result, the LPB algorithm is successfullyimproved the initial population and achieved the optimal solution.
A predictive model for the critical shoulder angle based on a three-dimensional analysis of scapular morphology
Authors: Smith Geoffrey , Geelan-Small Peter , Sawang Michael 
Published: June 2022

Abstract
BackgroundThe purpose of this study was to define the features of scapular morphology that are associated with changes in the critical shoulder angle (CSA) by developing the best predictive model for the CSA based on multiple potential explanatory variables, using a completely 3D assessment.Methods3D meshes were created using CT DICOMs. The analysis included 17 potential angular, weighted linear and area measurements. The correlation of the explanatory variables with the CSA was investigated with the Pearson’s correlation coefficient. Using multivariable linear regression, the approach for predictive model-building was leave-one-out cross-validation and best subset selection.Results53 meshes were analysed. Glenoid inclination (GI) and coronal plane angulation of the acromion (CPAA) [Pearson’s r: 0.535; -0.502] correlated best with CSA. The best model (adjusted R-squared value 0.67) for CSA prediction contained 10 explanatory variables including glenoid, scapular spine and acromial factors. CPAA and GI were the most important based on their distribution, estimate of coefficients and loss in predictive power if removed.ConclusionsThe relationship between scapular morphology and CSA is more complex than the concept of it being dictated solely by GI and acromial horizontal offset and includes glenoid, scapular spine and acromial factors of which CPAA and GI are most important.Level of evidence: Level 4 retrospective observational cohort study with no comparison group.
Microglial NLRP3 inflammasome activation mediates diabetes-induced depression-like behavior of mice via triggering neuroinflammation
Authors: Su Wen-Jun , Li Jia-Mei , Zhang Ting , Cao Zhi-Yong , Hu Ting , Zhong Shi-Yang , Hong Gong , Jiang Chun-Lei 
Published: June 2022

Abstract
Background Abundant evidence suggests that people with diabetes have a higher prevalence and risk of depression compared to the general population. However, the pathogenesis of diabetes-related depression remains unclear. As neuroinflammation is associated with diabetic complications and the pathophysiology of depression, this study aimed to elucidate the neuroimmunological mechanisms of diabetes-related depression.Methods Male C57BL/6 mice were injected with streptozotocin (200 mg/kg, i.p.) to establish a diabetes model. After screening for hyperglycemia, diabetic mice were treated with the NLRP3 inhibitor MCC950 (20 mg/kg, i.p.) for 7 days. Then, the mice were assessed for metabolic indicators and depression-like behaviors, and their levels of central and peripheral inflammation were measured. To explore the mechanism of high glucose-induced microglial NLRP3 activation, we performed in vitro studies using BV2 mouse microglia. Furthermore, we focused on upstream signal I (TLR4/MyD88/NF-κB) and signal II (ROS/PKR/P2X7R/TXNIP) that may be involved in microglial inflammasome activation.Results STZ-induced diabetic mice exhibited microglial NLRP3 inflammasome activation and developed depression-like behaviors. In vitro high-glucose (50 mM) environment promoted phosphorylation of the NF-κB p65 subunit through a TLR4/MyD88-independent way, thereby sensitizing the microglial NLRP3 inflammasome. Subsequently, high glucose activated the NLRP3 inflammasome via upregulating P2X7R, as well as enhancing intracellular ROS accumulation, promoting PKR phosphorylation and TXNIP expression, thereby facilitating IL-1β production and secretion. The NLRP3 inhibitor MCC950 significantly restored hyperglycemia-induced depression and activation of the microglial NLRP3 inflammasome, and reversed the elevation of IL-1β levels in hippocampus and serum. Conclusion Microglial NLRP3 activation mediates the development of the depression-like behaviors evoked by STZ-induced diabetes in mice. Targeting the microglial NLRP3 inflammasome is a feasible strategy for the treatment of diabetes-related depression. This study provides new evidence for a comprehensive understanding of psychoneuroimmunology.
Phase I/II trial of a peptide-based COVID-19 T-cell activator in patients with B-cell deficiency
Authors: Walz Juliane , Heitmann Jonas , Tandler Claudia , Marconato Maddalena , Habibzade Timursah , Rittig Susanne , Tegeler Christian , Nelde Annika , Maringer Yacine , Jäger Simon , Denk Monika , Richter Marion , Oezbek Melek , Wiesmüller Karl-Heinz , Bauer Jens , Rieth Jonas , Wacker Marcel , Schroeder Sarah , Gravel Naomi Hoenisch , Märklin Melanie , Henrich Annika , Klimovich Boris , Clar Kim , Lutz Martina , Holzmayer Samuel , Hoerber Sebastian , Peter Andreas , Meisner Christoph , Fischer Imma , Löffler Markus , Peuker Caroline , Habringer Stefan , Goetze Thorsten , Jäger Elke , Rammensee Hans-Georg , Salih Helmut 
Published: June 2022

Abstract
T-cell immunity is central for the control of COVID-19, in particular in patients incapable to mount a humoral immune response. We previously reported on the favorable safety profile and efficacy in terms of induction of SARS-CoV-2-specific T-cell responses by CoVac-1, a peptide-based T-cell activator, composed of SARS-CoV-2 T-cell epitopes derived from various viral proteins, combined with the toll-like receptor 1/2 agonist XS151. We conducted a Phase I/II open-label trial recruiting 54 patients with congenital or acquired B-cell deficiency who received one single subcutaneous dose of CoVac-1. Immunogenicity until day 28 in terms of CoVac-1-induced T-cell responses was the primary endpoint; safety until day 56 was assessed as secondary endpoint. Neither serious nor grade 4 CoVac-1-related adverse events were observed. The expected local granuloma formation was observed in 94% of study subjects, whereas systemic reactogenicity was mostly mild or absent. SARS-CoV-2-specific Tcell responses were induced in 86% of the patients and directed to multiple CoVac-1 peptides, not affected by any current Omicron variants and mediated by multifunctional T-helper 1 CD4+ T cells. CoVac-1-induced T-cell responses exceeded spike-specific T-cell responses after vaccination with mRNA vaccines in B-cell deficient patients and also that of immunocompetent COVID-19 convalescents with and without seroconversion. CoVac-1 induces broad and potent T-cell responses in patients with Bcell/antibody deficiency independently of current variants of concern, with a favorable safety profile. Our data warrant advancement to a pivotal Phase II/III safety and efficacy evaluation.
Machine Learning Decomposition of the Depression Connectome Provides Potential Markers and Targets for Transcranial Magnetic Stimulation
Authors: Taylor Hugh , Nicholas Peter , Tanglay Onur , Young Isabella M. , Doyen Stephane , Sughrue Michael E. , Fitzgerald Paul B. 
Published: June 2022

Abstract
Despite efforts to improve targeting of the dorsolateral prefrontal cortex (DLPFC) in repetitive transcranial magnetic stimulation (rTMS) for Major Depressive Disorder (MDD), the heterogeneity in clinical response remains unexplained. We compared patterns of functional connectivity from the DLPFC in patients with MDD between responders and non-responders to rTMS. Baseline anatomical T1 magnetic resonance imaging (MRI), resting-state functional MRI, and diffusion weighted imaging scans were obtained from 37 participants. A machine learning method was utilized to identify brain regions associated with each item of the Beck’s Depression Inventory II (BDI-II), and for 26 participants who underwent rTMS over the left Brodmann area 46, identify brain regions differentiating responders and non-responders. Nine parcels of the Human Connectome Project Multimodal Parcellation Atlas matched to at least three items of the BDI-II as predictors of response to rTMS, with many in the temporal, parietal and cingulate cortices. Pre-treatment mapping for 17 items of the BDI-II demonstrated significant variability in symptom to parcel mapping. When parcels associated with symptom presence and symptom resolution were compared, 15 were uniquely associated with resolution, and 12 with both symptom presence and resolution. Machine learning approaches show promise for the development of pathoanatomical diagnosis and treatment algorithms for MDD.
Analysis of the Current Situation and Influencing Factors of Dietary-Culture-Related Nutrition Knowledge, Attitudes, and Practices of Chinese Netizens: A cross-sectional Study
Authors: Zhang Qian , Yang Yuan , Xiang Lian , Du Tingwan , Ma Lilai , Zhou Yanqiu , Ma Ling 
Published: June 2022

Abstract
Background
Dietary culture affects people's cognition and attitudes toward nutrition, and it even dictates people's dietary behavior. This study aimed to assess the dietary-culture-related KAP of Chinese netizens during the corona virus disease 2019(COVID-19) pandemic.
Methods
A cross-sectional survey was conducted using an online KAP questionnaire in China. Volunteers were recruited at Southwest Medical University and were first trained to unify standards of distributing questionnaires. Participants were recruited by convenient- and snowball-sampling methods. Multiple regression analysis was used to analyze the influential factors.
Results
After 50 days of investigation, 3514 participants (40.6% men) were valid. The mean score of netizens’ nutrition knowledge was 3.9 ± 2.2 and the mean awareness rate was 31.7%. Women participants in the age group of 30–39 with higher education level had higher nutrition knowledge qualification rate. During the COVID-19 pandemic, the positive rate of attitude toward dietary-culture-related nutrition was 93.7%, and women netizens who had higher level of education and immigrated from other places had better attitudes. Moreover, the positive rate of dietary habits was 90.7%, and older women netizens had better dietary behavior.
Conclusions
Netizens’ knowledge of nutrition was poor, but their dietary habits and attitudes toward dietary-culture-related nutrition were generally positive, which was also a great progress for Chinese people.
Close kin influence COVID-19 precautionary behaviors and vaccine acceptance of older individuals
Authors: Arpino Bruno , Bordone Valeria , Gessa Giorgio Di 
Published: June 2022

Abstract
The family plays a central role in shaping health behaviors of its members through social control and support mechanisms. We investigate whether and to what extent close kin (i.e., partner and children) have mattered for older people in taking on precautionary behaviors (e.g., physical distancing) and vaccination during the COVID-19 pandemic in Europe. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we combine its Corona Surveys (June-August 2020 and June-August 2021) with pre-COVID information (October 2019-March2020). We find that having close kin (especially a partner) is associated with a higher probability of both adopting precautionary behaviors and accepting a COVID-19 vaccine. Results are robust to controlling for other potential drivers of precautionary behaviors and vaccine acceptance, as well as to accounting for co-residence with kin. Our findings suggest that policy makers and practitioners may differently address kinless individuals when promoting public policy measures.
Ferroptosis-related lncRNA signature robustly predicts the prognosis and immunotherapy efficiency of clear cell renal cell carcinoma
Authors: Ju Lincheng , Shi Yaxing , Liu Gang 
Published: June 2022

Abstract
Background:Ferroptosis is a new type of iron- and reactive oxygen species-dependent cell death, which is observed in a variety of disease conditions and plays an important role in cancer. However, studies on ferroptosis-related long noncoding RNAs (FerLncRNAs) in clear cell renal cell carcinoma (ccRCC) are limited. The purpose of this study was to investigate the potential prognostic value of FerLncRNAs and their relationship with the immune microenvironment and immunotherapy response of ccRCC.Methods: RNA sequencing data of 526 patients with ccRCC were downloaded from The Cancer Genome Atlas (TCGA) database. The patients with ccRCC in TCGA were randomly divided (1:1) into a training and testing cohort. ICGC and GEO databases were used for validation. Screening for FerLncRNAs was performed using Pearson’s correlation analysis with the reported ferroptosis-related genes. A FerLncRNA signature was constructed using univariate, LASSO, and multivariate Cox regression analyses in the training cohort. Internal and external datasets were performed to verify the FRlncRNA signature. Four major FRlncRNAs were verified through in vitro experiment.Results: A FerLncRNA signature (LINC00894, DUXAP8, LINC01426, PVT1, PELATON, LINC02609, and MYG1-AS1) was established. Patients in the high-risk group had a worse prognosis than those in the low-risk group. Analysis of the area under the time-dependent ROC curve (AUC) confirmed the predictive accuracy of the signature was better than the traditional evaluation factors; the AUC value for 5-year survival reached 0.772 in the total cohort. Multivariate Cox regression analysis showed that the risk score was an independent prognostic indicator. A nomogram was established based on the risk signature and clinical features to accurately predict the survival of patients with ccRCC. Four major FRlncRNAs (LINC00894, LINC01426, PVT1, and DUXAP8) were verified with the prognosis of ccRCC in the GEPIA and K-M Plotter databases, their expressions were validated by realtime PCR. Gene set enrichment analysis revealed the immune and tumor-related pathways in the individuals from the two risk groups. The immune cell infiltration landscapes and expression levels of immune checkpoints showed significantly different between the low- and high-risk groups. Finally, TIDE and ImmuCellAI analyses showed that patients in the low-risk group were more inclined to respond to immunotherapy than patients in the high-risk group. In addition, drug sensitivity analysis indicated that our risk signature had potential predictive value for chemotherapeutics and targeted therapy. Conclusions: Our study established a novel FerLncRNA signature with robust predictive ability for survival and efficiency in predicting the response to immunotherapy, chemotherapy and targeted therapy in ccRCC patients. Its component FerLncRNAs may serve as therapeutic targets for ccRCC.
Research on Factors Influencing the Training of Artificial Intelligence Applied Talents Based on DEMATEL-TAISM
Authors: Bian Yi-jie , Xie Lu , Li Jing-qi 
Published: June 2022

Abstract
The identification of key influencing factors in the training of applied talents in artificial intelligence includes two stages, namely, the establishment of factor index system and the identification of key influencing factors. Firstly, referring to a large number of literatures on the influencing factors of talent training and the sustainability evaluation index framework at home and abroad, and in combination with the characteristics of the development of China's artificial intelligence industry, this paper summarizes the influencing factors from the multi-dimensional training path of government departments, universities, enterprises and scientific research institutes. According to the training purpose of artificial intelligence application-oriented talent training, this paper constructs the influencing factor index system of artificial intelligence applied talents training. Then, the DEMATEL method is used to establish multiple correlation matrices according to the direct influence correlation between the factors, and the degree of influence, the degree of being influenced, the centrality degree, and the reason degree are calculated; Using the improved AISM method and based on the idea of game confrontation, a set of confrontation level topological maps with comprehensive influence values reflecting the interaction of factors are obtained from the two opposite extraction rules of result priority and cause priority, respectively. Finally, the relevant suggestions are put forward in order to provide reference for promoting the training of applied talents in China's artificial intelligence industry.
Association between tea consumption and quality of life in men with esophageal squamous carcinoma based on TTD model
Authors: Zhang Juwei , Liu Shuang , Song Jianyu , Zhou Jinsong , Zeng Qiaoyan , Ling Zheng , Yu Kaili , Rao Wenqing , Zhang Suhong , Lin Zhifeng , Qiu Minglian , Chen Yuanmei , Hu Zhijian 
Published: June 2022

Abstract
PurposeTo explore the association between postoperative tea drinking and quality of life in male patients with esophageal squamous cell carcinoma (ESCC).MethodsThe data was collected using the esophageal cancer quality of life questionnaire. The time to deterioration (TTD) model was used to measure ESCC patients' quality of life. The association between postoperative tea drinking and postoperative quality of life in male ESCC patients was investigated using the Cox proportional hazard model.ResultsPostoperative tea-drinking patients experienced delayed TTD in multiple domains, including general health, physical, role, emotional, and cognitive function, fatigue, nausea and vomiting, dyspnea, loss of appetite, constipation, diarrhea, eating problems, difficulty swallowing, choking while swallowing saliva, dry mouth, taste difficulties, coughing, and speech problems. The multivariate Cox regression analysis showed that drinking tea after surgery improved quality of life, including physical (HR=0.719, 95% CI: 0.557-0.929) and role function (HR=0.737, 95% CI: 0.555- 0.978), eating problems (HR=0.724, 95% CI: 0.542-0.967), odynophagia (HR=0.683, 95% CI: 0.493-0.946), trouble swallowing saliva (HR=0.624, 95% CI: 0.444-0.877), coughing (HR=0.628, 95% CI: 0.443- 0.890) and speech problems (HR=0.630, 95% CI: 0.441-0.902). Furthermore, the improvement was more significant in patients who drank tea before surgery and continued to drink tea after surgery.ConclusionsPostoperative tea drinking improved and delayed the worsening of multiple functions and symptoms associated with ESCC on the EORTC QLQ-C30 and EORTC QLQ-OES18 scales in male ESCC patients. Furthermore, the improvement was more significant in patients who drank tea before surgery and continued to drink tea after surgery.
Genetic polymorphisms of rs12437118 in ESRRB locus associated with tuberculosis susceptibility in a Chinese Han population
Authors: Wang# Wei , Zhao# Lingjuan , Sun Yong , Ren Weicong , Zhang Xuxia , Li Chuanyou , Gao Mengqiu 
Published: June 2022

Abstract
ESRRB (Estrogen Related Receptor Beta) plays a crucial role in stem cells self-renewal, naïve pluripotency, and early development of the embryo via participating in regulation of chromatin remodeling. The objective was to investigate whether rs12437118 in ESRRB locus was associated with tuberculosis susceptibility in a Chinese Han cohort. A total of 607 TB patients and 660 healthcare workers were enrolled for this study. ESRRB rs12437118 polymorphisms genotyping was performed by competitive allele-specific PCR (KASP) assay. ESRRB plasma expression level was detected by enzyme linked immunosorbent assay (ELISA). Logistic regression was used to calculated odds ratios (ORs) and 95% confidence intervals (CIs). Genotype GA showed a decreased risk of TB (P = 0.014, OR = 0.745, 95%CI: 0.59–0.94). No association with TB risk was found for other genotypes and any genetic model. ESRRB expression lower in TB patients than in healthy controls, but no association was found between ESRRB expression level in plasma and different genotypes of rs12437118. Our results demonstrated that genotype GA of rs12437118 decreased risk of TB in a Han cohort in North of China.
Prognostic Value of Simultaneous Analysis with Myocardial Flow Reserve and Right Ventricular Strain by Hybrid 13N-ammonia Positron Emission Tomography/Magnetic Resonance Imaging in Coronary Artery Disease
Authors: Endo Keiichiro , Kiko Takatoyo , Yamakuni Ryo , Misaka Tomofumi , Yamaki Takayoshi , Nakazato Kazuhiko , Fukushima Kenji , Takeishi Yasuchika 
Published: June 2022

Abstract
Myocardial flow reserve (MFR) derived from 13N-ammonia positron emission tomography (PET) is used to predict adverse cardiac events in the patients with coronary artery disease (CAD). Right ventricular (RV) strain measured by magnetic resonance imaging (MRI) is used to evaluate RV function and predict cardiac events. This study aimed to evaluate the prognostic value of MFR and RV strain measured by hybrid 13N-ammonia PET/MRI in patients with CAD. Sixty-one patients who underwent 13N-ammonia PET/MRI were enrolled. The end points were defined as a composite of all-cause death, myocardial infarction, sustained ventricular arrhythmia, hospitalization due to decompensated heart failure, and revascularization. At a follow-up of 2.8 ± 1.9 years, 21 events occurred. Kaplan–Meier analysis showed that the event-free rate was significantly lower in the group with MFR < 1.80 than that with MFR ≥ 1.80 (P < 0.001). Additionally, the event-free rate was significantly lower in the group with RVGLS > −18.22% than that with RVGLS ≤ −18.22% (P = 0.025). After dividing the patients into four groups by the median MFR and the median RVGLS, the event-free rate was lowest in the combined group of MFR < 1.80 and RVGLS > -18.22% than any other groups (P < 0.001). In the Cox proportional hazard analysis, MFR and RVGLS were independent predictors of cardiac adverse events in the patients with CAD. The simultaneous assessment of MFR and RV strain by 13N-ammonia PET/MRI revealed the feasibility of precise risk stratification for cardiac events in patients with CAD.