bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immune inhibitory receptor-mediated immune response, metabolic adaptation, and clinical characterization in COVID-19 patients
Authors: An Huaying , Yan Congrui , Ma Jun , Gong Jiayuan , Gao Fenghua , Ning Changwen , Wang Fei , Zhang Meng , Li Baoyi , Su Yunqi , Liu Pengyu , Wei Hanqi , Jiang Xingwei , Yu Qun 
Published: September 2023

Abstract
Immune inhibitory receptors (IRs) have been demonstrated to play a critical role in the regulation of immune response to various respiratory viral infection. However, in COVID-19, the potential roles of the integrated effect of these IRs in immune modulation, metabolic reprogramming, and clinical characterization remains to be determined. Through the consensus clustering analysis of IR transcription in the peripheral blood of COVID-19 patients, we identified two distinct IR patterns in COVID-19 patients. And we demonstrated that IR_cluster2 patients characterized by lower expression of most IRs presented suppressed immune response, lower nutrient metabolism, and worse clinical manifestations or prognosis. To quantify and assess the IR patterns of individual COVID-19 patients, we established a scoring system named IRscore based on principal component analysis algorithms. Similar to IR_cluster2 patients, patients with high IRscore had a longer hospital-free days at day 45, required ICU admission and mechanical ventilatory support, and presented higher Charlson comorbidity index score and SOFA score. Moreover, high IRscore was also linked to high viral load, acute infection phase, and absence of drug intervention. Our investigation comprehensively elucidates the potential role of IR patterns in regulating immune response, modulating metabolic processes, and shaping clinical manifestations for COVID-19. All these evidences suggest the essential role of prognostic stratification and biomarker screening based on IR patterns in the clinical management and drug development of future emerging infectious diseases such as COVID-19.
Incorporation of Patient and Public Involvement in Statistical Methodology Research: Development of an Animation
Authors: Worboys Hannah M , Broomfield Jonathan , Smith Aiden , Stannard Rachael , Tyrer Freya , Vounzoulaki Elpida , Czyznikowska Barbara , Grewal-Santini Gurpreet , Greenwood Justin , SMART PPI- , Gray Laura J 
Published: September 2023

Abstract
Background:
Patient and Public Involvement (PPI) is important to all aspects of health research. However, there are few examples of successful PPI in statistical methodology research. One of the reasons for this relates to challenges in the identification of individuals interested in statistical methods, and ambiguities over the importance of PPI to these projects.
Methods:
This project was conducted between August 2022 and August 2023. The aim is to report the process of the development of an accessible animation to describe what statistical methodology is and the importance of PPI in methods-based projects. For this, we combined storyboarding and scriptwriting with feedback from PPI members and researchers.
Results:
After three stages that incorporated feedback from the relevant stakeholders, we produced a final animation about PPI in statistical methodology. The resulting animation used minimal text, simple animation techniques and was of short duration (< 3 minutes) to optimise the communication of the key messages clearly and effectively.
Conclusions:
The resulting animation provides a starting point for members of the public to learn about PPI in statistical methodology and for methodologists who wish to conduct PPI. We recommend further work to explore ways in which members of the public can be more meaningfully involved in methodology research.
The Socio-Economic Determinants of the Number of Physicians in Italian Regions
Authors: Leogrande Angelo , Costantiello Alberto , Leogrande Domenico 
Published: September 2023

Abstract
In the following article, we analyse the determinants of the number of physicians in the context of ISTAT BES-Benessere Equo Sostenibile data among twenty Italian regions in the period 2004-2022. We apply Panel Data with Random Effects, Panel Data with Fixed Effects, and Pooled OLS-Ordinary Least Squares. We found that the number of Physicians among Italian regions is positively associated, among others, to “Trust in the Police and Firefighters”, “Net Income Inequality”, and negatively associated, among others, to “Research and Development Intensity” and “Soil waterproofing by artificial cover”. Furthermore, we apply the k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of two clusters. Finally, we confront eight different machine-learning algorithms to predict the future value of physicians and we find that the PNN-Probabilistic Neural Network is the best predictive algorithm.
Design of Flat All-Dielectric Metasurface Lens for Antenna Coupled Transition Edge Sensor Bolometers
Authors: Yu Qing , He Kaiyong , Wu Xinyu , Liu Jianshe , Chen Wei 
Published: September 2023

Abstract
The focal plane of a telescope for cosmic microwave background (CMB) observation typically contains a large-scale array of transition edge sensor (TES) bolometers. Polarized planar antennas are easy to fabricate and integrate, compared to commonly used horn antennas in receiving modules. In order to enhance the directivity and coupling efficiency, a planar antenna is generally equipped with a hyper-hemispherical silicon lens. However, a Si-lens has a large volume, and the fabrication and assembly processes are complex. A flat all-dielectric metasurface lens is proposed to replace Si-lens to converge beam and increase gain of a slot antenna. The all-dielectric structure of silicon holes with sub-wavelength thickness can change the volumetric fill factor to adjust the local effective refractive index, and thus manipulate the shape of wavefront while ensuring high transmission efficiency. The meta-lens was found to exhibit high gain, low cross polarization, and good beam symmetry, as verified by simulated electric field amplitude distribution and far-field patterns at 225 GHz using CST microwave studio suite. The detector array and the meta-lens array can both be fabricated using standard planar photolithography technology, and the combination has the potential to achieve larger scale arrays.
Eco-Friendly Piper cubeba official extract corrosion inhibition of c-steel in 1M sulphamic acid
Authors: Salem Aya. M. , Al-Sharif Merfat S. 
Published: September 2023

Abstract
The examination of the inhibitory rates of Piper cubeba official extract (P. cubebaOE) on C-steel in 1.0 M H2NSO3H solution is covered in the research article. Utilizing chemical and electrochemical methods in addition to theoretical calculations such as DFT, Fukui function, the study produced results that indicated up to 96.0% inhibition at 300 ppm at 25oC., P. cubebaOE is an inhibitor of mixed kind. Through increasing concentration, Nquist diagrams showed that the charge transfer resistance elevated and the capacitance of the double layer decreased. It was also discovered that the inhibition process follows the Langmuir isotherm, demonstrating the generation of a monolayer on the surface of the C-steel.
Respiratory pathogen trends coinciding with the early public health response to limit transmission of SARS-Coronavirus-2.
Authors: Sweeny Amy Lynn , Gerrard John , Alcorn Kylie , Grant Gary , Huang Ya-Ling , Gerhardy Benjamin , Keijzers Gerben 
Published: September 2023

Abstract
The SARS-Coronavirus-2 pandemic disrupted normal transmission of many viral respiratory pathogens. We analysed a state-wide dataset of microbiological results from public hospitals in Queensland, Australia. Following declaration of the pandemic and subsequent non-pharmaceutical interventions (NPIs), we observed decreases in influenza and respiratory syncytial virus (RSV) consistent with other studies. However, upon easing intrastate border and crowd gathering restrictions, RSV levels surged to unseasonally high levels; influenza levels did not. Among bacterial pathogens, we observed a decrease in detection of S. pneumoniae of 35% (95% confidence interval: 22% to 47%). No change in detection of S. aureus or P. aeruginosa per 100 cultures was evident, but cultures positive for K. pneumoniae increased from 1.21 (1.10-1.32) per 100 cultures pre-pandemic to 1.80 (1.58-2.02) in 2020 and 2021. We suggest that early NPIs limited transmission of all droplet-spread pathogens. However, later less-restrictive NPIs allowed RSV, (with a reproductive number greater than influenza or the Delta strain of SARS-CoV-2 but lower than the Omicron strain), to re-emerge. The increase in K. pneumoniae, commonly implicated in hospital-acquired infections, requires further investigation.
Clustering of Microarray Data Using Endist
Authors: S Sumathi , G Hannah Grace 
Published: September 2023

Abstract
Microarray gene expressions shed light on genetic indicators that help distinguish between healthy and malignant cells. An unsupervised learning technique called clustering divides the data into groups depending on how similar they are. Clustering of microarray data helps us to identify the expression profiles of the genes. This identifies genes with similar functions like upregulated genes and downregulated genes. The distance measure helps precisely ascertain how dissimilar two items are to one another which is a fundamental idea for these analytical jobs and applications. This research proposes a novel distance measure for microarray datasets. For clustering tasks, the benchmark algorithm k-medoids is employed. ENDIST findings are compared with those of other widely used distance measures, including Manhattan and the Euclidean distance measure. The utilized data are central nervous system dataset, lung cancer dataset, brain cancer dataset, endometrial cancer dataset and the dataset for prostate cancer. The preprocessing technique involves transformation of raw data into logarithm values followed by both binary and ternary discretization. The quality of the clusters by using ENDIST were validated through the Dunn index.
Predictive Value Of Suprasellar Extension For Intracranial Infection After Endoscopic Transsphenoidal Pituitary Adenoma Resection
Authors: Lin Mingjian , Wang Wenbo , Tang Lejian , Zhou Yunxiang , Li Wencai , Xiao Jing , Peng Zhizhu , Xia Xuewei 
Published: September 2023

Abstract
OBJECTIVE: To investigate the relationship between suprasellar extension (SSE) and intracranial infection after Endoscopic endonasal transsphenoidal approach (EETA) for pituitary adenoma resection.
METHODS: We retrospectively analyzed 94 patients with suprasellar extended pituitary adenoma admitted to the Department of Neurosurgery of the Affiliated Hospital of Guilin Medical College from January 2018 to December 2021. We measured the preoperative magnetic resonance sagittal SSE and collected clinical data and divided the patients into groups according to the presence of postoperative intracranial infection. The critical value for the SSE was calculated by using a working characteristic curve for the subjects. The risk factors for intracranial infection after EETA resection of pituitary adenomas were analyzed by multivariate regression analysis.
RESULTS: Among the 94 patients, 12 cases (12.8%) were placed in the infection group and 82 cases (87.2%) in the non-infection group. The cut-off value for the SSE in the sagittal position was 15.6 mm, the sensitivity was 75%, the specificity was 87.8%, and the area under the curve (AUC) was 0.801; The coronary cut-off value for the SSE was 15.8mm, the sensitivity was 66.7%, the specificity was 79.3%, and the AUC was 0.787; The SSE values in the sagittal and coronal positions were correlated with postoperative intracranial infection (P<0.05). After univariate analysis, those with significant differences were included in the multivariate regression analysis. It was concluded that the extension distance of the tumor above the sella in the sagittal position was ≥15.6 mm, the tumor texture was hard, and the postoperative cerebrospinal fluid leakage were the independent risk factors for intracranial infection after EETA resection of suprasellar extended pituitary tumors (P < 0.05).
CONCLUSIONS: The value of SSE on sagittal MRI can predict intracranial infection in patients with suprasellar extended pituitary adenoma after endoscopic endonasal transsphenoidal resection. This finding recommends neurosurgeons to pay more attention to the imaging characteristics of pituitary adenomas and select appropriate treatment plans in combination with the intraoperative conditions to reduce the incidence of intracranial infection.
The association between serum selenium with circulating levels of adipokine in patients with polycystic ovary syndrome
Authors: Khademi Zeinab , Pourreza Sanaz , Hamedi-Shahraki Soudabeh , Amirkhizi Farshad 
Published: September 2023

Abstract
Growing evidence has shown a possible correlation between selenium (Se) and its main transport protein, selenoprotein-P (SePP), with polycystic ovary syndrome (PCOS). The Se and SePP link with adipokine levels in this group of individuals received insufficient attention, though. In the present study, we aimed to investigate the associations of Se and SePP with adipokine levels in patients with PCOS. In this cross-sectional study, 115 patients with PCOS aged 18–45 years, diagnosed based on Rotterdam Consensus criteria, were recruited. Participants' general characteristics were collected using a general questionnaire and anthropometric measurements were taken. The blood sample was obtained, and serum levels of leptin, adiponectin, visfatin, resistin, and omentin-1, as well as glucose metabolism markers, were measured. Serum levels of Se and SePP were inversely correlated with fasting Blood Sugar (FBS), serum insulin, and the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). In addition, serum levels of Se and SePP positively correlated with adiponectin and visfatin serum levels. Although there was no significant correlation between serum Se and serum omentin-1 levels, a significant positive correlation was found between the serum levels of SePP and this adipokine. The present study found that serum Se and SePP levels were positively correlated with serum adiponectin and visfatin levels. Further studies are required to confirm these findings.
Disentangling accelerated cognitive decline from the normal aging process and unraveling its genetic components: A neuroimaging-based deep learning approach
Authors: Dai Yulin , Hsu Yu-Chun , Fernandes Brisa S. , Zhang Kai , Li Xiaoyang , Enduru Nitesh , Liu Andi , Manuel Astrid M , Jiang Xiaoqian , Zhao Zhongming 
Published: September 2023

Abstract

Background
The progressive cognitive decline that is an integral component of AD unfolds in tandem with the natural aging process. Neuroimaging features have demonstrated the capacity to distinguish cognitive decline changes stemming from typical brain aging and Alzheimer’s disease between different chronological points.
Methods
We developed a deep-learning framework based on dual-loss Siamese ResNet network to extract fine-grained information from the longitudinal structural magnetic resonance imaging (MRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) study. We then conducted genome-wide association studies (GWAS) and post-GWAS analyses to reveal the genetic basis of AD-related accelerated cognitive decline.
Results
We used our model to process data from 1,313 individuals, training it on 414 cognitively normal people and predicting cognitive assessment for all participants. In our analysis of accelerated cognitive decline GWAS, we identified two genome-wide significant loci: APOE locus (chromosome 19 p13.32) and rs144614292 (chromosome 11 p15.1). Variant rs144614292 (G>T) has not been reported in previous AD GWA studies. It is within the intronic region of NELL1, which is expressed in neuron and plays a role in controlling cell growth and differentiation. In addition, MUC7 and PROL1/OPRPNon chromosome 4 were significant at the gene level. The cell-type-specific enrichment analysis and functional enrichment of GWAS signals highlighted the microglia and immune-response pathways. Furthermore, we found that the cognitive decline slope GWAS was positively correlated with previous AD GWAS.
Conclusion
Our deep learning model was demonstrated effective on extracting relevant neuroimaging features and predicting individual cognitive decline. We reported a novel variant (rs144614292) within the NELL1 gene. Our approach has the potential to disentangle accelerated cognitive decline from the normal aging process and to determine its related genetic factors, leveraging opportunities for early intervention.
Vibration-enabled mobility of liquid metal
Authors: Handschuh-Wang Stephan , Gan Tiansheng , Wang Tao , He Bin , Han Peigang , Stadler Florian , Zhou Xuechang 
Published: September 2023

Abstract

Directed liquid metal (gallium-based) manipulation and actuation are paramount for copious applications, including soft robotics, soft electronics, and targeted drug delivery. Although there are several strategies available to achieve mobility of liquid metals in a “wet” environment. Strategies to achieve and improve mobility of liquid metal droplets and puddles in a “dry” environment have been scarce and rely on metallophobic surface design or liquid metal marbles. Here, we discover high mobility of Galinstan achieved by combining metallophobic surface design and vertical vibrations. Vibration frequencies between 20 and 30 Hz were conducive to droplet movement and threshold inclination angles of 0.5 to 1° were observed upon actuation by the vibrations. The method itself is applicable for a wide range of droplet sizes (30 and 2000 µL) and very robust. The droplet movement typically comprises of periodic receding and advancing of the droplet and commences via a rolling mechanism rather than a gliding mechanism. Finally, we show that small (0.5 mm height) obstacles can be traversed by this method, indicating that it can be used in concert with other strategies, such as surface structuring strategies, which open up pathways for mobility and controlled actuation of liquid metal droplets in air.
Weighted generalized core-EP inverse in a Banach algebra with involution
Authors: Chen Huanyin , Sheibani Marjan 
Published: September 2023

Abstract
In this paper, we introduce the notion of weighted generalized core-EP inverse in a Banach *-algebra. Some properties of weighted core-EP inverse for rectangular complex matrices and bounded linear Hilbert space operators are generalized and some new ones are established. Properties of weighted generalized core-EP orders are presented for all weighted g-Drazin invertible elements in a Banach *-algebra.
2020 Mathematics Subject Classification. 46H05, 15A09, 16U99
Conditional Interval Estimation for the ParetoDistribution Based on Generalized Order Statistics
Authors: Maswadah M. 
Published: September 2023

Abstract
This paper is concerned with the problem of obtaining the conditional confidence intervals for the parameters of the Pareto distribution based on generalized order statistics. The properties of the derived intervals, such as the coverage rates, the covering symmetry, and the mean length of intervals, have been evaluated using Monte Carlo simulation for different values of the shape parameter. Finally, a numerical example illustrates the inferential method developed in this paper.
Handlungsstrategien für heterogene Klassen. Qualitätssicherung von OER für die Lehrkräftebildung
Authors: Rau Franco , Mudder Lisa , Schröder Lea , Schorer Susanne , Vierbuchen Marie-Christine , Hillenbrand Clemens 
Published: September 2023

Der ersten Phase der Lehrkräftebildung kommt der Auftrag zu, für eine grundlegende Orientierung in einem inklusiven Bildungssystem wissenschaftlich fundierte Kenntnisse für alle Lehramtsstudiengänge bereitzustellen. Am Beispiel des Projekts „Handlungsstrategien für heterogene Klassen - OER für die Lehrkräftebildung“ zeigt der Beitrag auf, wie die Entwicklung und Qualitätssicherung von Open Educational Resources (OER) zur Qualifizierung für inklusive Bildung erfolgen kann. Auf Basis von Projekterfahrungen wird skizziert, wie (1.) OER für angehende Lehrkräfte zur Gestaltung und Reflexion inklusiven Unterrichts entwickelt, (2.) von Hochschullehrenden und Studierenden erprobt und (3.) die Qualität der entstandenen Materialien geprüft und weiterentwickelt werden konnte. Die entwickelten Materialien wurden über unterschiedliche methodische Zugänge („Thinking Aloud“-Methode, Gruppendiskussion mit Dozierenden, Pilotierung quantitativer Studierendenbefragung) erprobt. Der Beitrag stellt konzentriert die Ergebnisse qualitativer Forschungszugänge dar. Daraus lassen sich Erkenntnisse auf unterschiedlichen hochschuldidaktischen Handlungsebenen für die Potentiale von OER zur Qualifizierung von Lehrkräften für inklusive Bildung ableiten.

Abstract
Teacher education has the task of providing scientifically grounded knowledge for basic orientation for an inclusive education system for all teacher training programs. Using the example of the project "Action Strategies for Heterogeneous Classes - OER for Teacher Education", the article shows how the development and quality assurance of Open Educational Resources (OER) for the qualification for inclusive education can take place. Based on project experiences, it outlines (1.) how OER could be developed for prospective teachers to design and reflect on inclusive education, (2.) tested by university teachers and students, and (3.) how the quality of the resulting materials could be evaluated and further developed. The developed materials are evaluated with three methodological approaches (“Thinking Aloud”-method, group discussion with lecturers). The paper presents the results of qualitative research approaches. From this, insights on different levels of higher education didactic action for the potentials of OER for the qualification of teachers for inclusive education can be derived.
9,10‐Phenanthrenequinone Photoautocatalyzes its Formation from Phenanthrene, and Inhibits Biodegradation of Naphthalene
Authors: Holt Jonathan , Hothem Seth , Howerton Heidi , Larson Richard , Sanford Robert 
Published: September 2023

ABSTRACTPolycyclic aromatic hydrocarbons (PAHs) have earned considerable attention due to their widespread environmental distribution and toxicity. In the environment, PAHs decompose by a variety of biotic and abiotic pathways. In both polar and nonpolar environments, phenanthrene (Phe, a common, three‐ring PAH) is converted by sunlight to more polar products such as 9,10‐phenanthrenequinone (PheQ) and subsequent oxidation products such as the corresponding open‐ring dicarboxylic acid product. Biodegradation of phenanthrene also usually leads to oxidative metabolites, and eventually ends in mineralization. Our experimental objective was to investigate the photodegradation of phenanthrene and determine the effect of reaction products such as PheQ on microbial biodegradation of two‐ and three‐ring PAHs. Abiotic experiments were performed to examine the photolytic breakdown of Phe; Phe was converted to PheQ, which catalyzed its own formation. In biodegradation experiments PheQ (0.04–4 mg/L) caused marked inhibition of naphthalene (Nap) biodegradation by a Burkholderia species; Phe did not. Only 20% of the naphthalene was degraded in the presence of PheQ compared with 75% in the control culture with no PheQ added. No PAH‐degrading cultures were able to use PheQ as sole carbon source; however, the Phe‐degrading enrichment culture dominated by a Sphingomonas species was able to degrade PheQ cometabolically in the presence of Phe. These results may explain why photooxidized phenanthrene‐containing mixtures can resist biodegradation.