bluuebunny/crossref_metadata_2025_split huggingface dataset:
Second magnetization peak, anomalous field penetration, and Josephson vortices in KCa$$_2$$Fe$$_4$$As$$_4$$F$$_2$$ bilayer pnictide superconductor
Authors: Lopes P. V. , Sundar Shyam , Salem-Sugui S. , Hong Wenshan , Luo Huiqian , Ghivelder L. 
Published: November 2022

AbstractWe performed magnetization measurements in a single crystal of the anisotropic bilayer pnictide superconductor KCa$$_2$$

2

Fe$$_4$$

4

As$$_4$$

4

F$$_2$$

2

, with $$T_c\;$$

T
c

$$\simeq$$
≃
34 K, for $$H$$
H
$$\parallel$$
‖
$$c$$
c
-axis and $$H$$
H
$$\parallel$$
‖
$$ab$$

ab

-planes. A second magnetization peak (SMP) was observed in the isothermal M(H) curves measured below 16 K for $$H$$
H
$$\parallel$$
‖
$$ab$$

ab

-planes. A peak in the temperature variation of the critical current density, $$J_{c}$$

J
c

(T), at 16 K, strongly suggests the emergence of Josephson vortices at lower temperatures, which leads to the SMP in the sample. In addition, it is noticed that the appearance of Josephson vortices below 16 K renders easy magnetic flux penetration. A detailed vortex dynamics study suggests that the SMP can be explained in terms of elastic pinning to plastic pinning crossover. Furthermore, contrary to the common understanding, the temperature variation of the first peak field, $$H_1$$

H
1

, below and above 16 K, behaves non-monotonically. A highly disordered vortex phase, governed by plastic pinning, has been observed between 17 and 23 K, within a field region around an extremely large first peak field. Pinning force scaling suggests that the point defects are the dominant source of pinning for H$$\parallel$$
‖
$$ab$$

ab

-planes, whereas, for H $$\parallel$$
‖
$$c$$
c
-axis, point defects in addition to surface defects are at play. Such disorder contributes to the pinning due to the variation in charge carrier mean free path, $$\delta l$$

δ
l

-pinning. Moreover, the large $$J_c$$

J
c

observed in our study is consistent with the literature, which advocates this material for high magnetic field applications.
The effects of ultrasonic cavitation on the dissolution of lithium disilicate glass
Authors: Dillinger Ben , Suchicital Carlos , Clark David 
Published: November 2022

AbstractThere has been little research conducted on how ultrasonic cavitation may affect glass dissolution. The focus of this study was to examine how the mechanisms and kinetics of glass dissolution may change in a system that included ultrasonication. Experiments were conducted on lithium disilicate glass in deionized water at 50 °C between 1 and 7.5 h. Results showed that the erosion from ultrasonication affected the kinetics of glass dissolution. Samples with erosion had 2–3 × more dissolution compared to samples without erosion. The change in dissolution was thought to be partly caused by an increase in the surface area of the sample to volume of solution (SA/V) ratio due to the roughening of the surface and release of particulates and a reduction in the size of the depleted layer due to erosion. Stereoscopic 3D reconstruction of eroded samples was used to calculate the increase in surface area due to erosion. Type 2 surface areas (exfoliation mixed with normal leaching) were roughly 3–6% greater while Type 3 surface areas (heavy roughening of surface) were roughly 29–35% greater than the surfaces areas from Type 1 surfaces (normal leaching).
Understanding the dynamics of fluid–structure interaction with an Air Deflected Microfluidic Chip (ADMC)
Authors: Pas Chad ten , Du Ke , Pan Long , Wang Ruo-Qian , Xu Shiyou 
Published: November 2022

AbstractA deformable microfluidic system and a fluidic dynamic model have been successfully coupled to understand the dynamic fluid–structure interaction in transient flow, designed to understand the dentine hypersensitivity caused by hydrodynamic theory. The Polydimethylsiloxane thin sidewalls of the microfluidic chip are deformed with air pressure ranging from 50 to 500 mbar to move the liquid meniscus in the central liquid channel. The experiments show that the meniscus sharply increased in the first 10th of second and the increase is nonlinearly proportional to the applied pressure. A theoretical model is developed based on the unsteady Bernoulli equation and can well predict the ending point of the liquid displacement as well as the dynamics process, regardless of the wall thickness. Moreover, an overshooting and oscillation phenomenon is observed by reducing the head loss coefficient by a few orders which could be the key to explain the dentine hypersensitivity caused by the liquid movement in the dentine tubules.
Transcriptomic profiling of calcified aortic valves in clonal hematopoiesis of indeterminate potential carriers
Authors: Vieceli Dalla Sega Francesco , Palumbo Domenico , Fortini Francesca , D’Agostino Ylenia , Cimaglia Paolo , Marracino Luisa , Severi Paolo , Strianese Oriana , Tarallo Roberta , Nassa Giovanni , Giurato Giorgio , Pecoraro Giovanni , Caglioni Serena , Mikus Elisa , Albertini Alberto , Campo Gianluca , Ferrari Roberto , Rizzo Paola , Weisz Alessandro , Rizzo Francesca 
Published: November 2022

AbstractClonal hematopoiesis of indeterminate potential (CHIP) is characterized by the presence of clones of mutated blood cells without overt blood diseases. In the last few years, it has emerged that CHIP is associated with atherosclerosis and coronary calcification and that it is an independent determinant of cardiovascular mortality. Recently, CHIP has been found to occur frequently in patients with calcific aortic valve disease (CAVD) and it is associated with a poor prognosis after valve replacement. We assessed the frequency of CHIP by DNA sequencing in the blood cells of 168 CAVD patients undergoing surgical aortic valve replacement or transcatheter aortic valve implantation and investigated the effect of CHIP on 12 months survival. To investigate the pathological process of CAVD in CHIP carriers, we compared by RNA-Seq the aortic valve transcriptome of patients with or without CHIP and non-calcific controls. Transcriptomics data were validated by immunohistochemistry on formalin-embedded aortic valve samples. We confirm that CHIP is common in CAVD patients and that its presence is associated with higher mortality following valve replacement. Additionally, we show, for the first time, that CHIP is often accompanied by a broad cellular and humoral immune response in the explanted aortic valve. Our results suggest that an excessive inflammatory response in CHIP patients may be related to the onset and/or progression of CAVD and point to B cells as possible new effectors of CHIP-induced inflammation.
Treatment of Escherichia coli contaminated water with different pulse-powered NTP configurations and analysis for post treatment efficacy
Authors: Kalakonda Sai Pavan , Parameswarreddy Gandluri , Skariah Emil Ninan , George Benu , Suchithra T. V. , Sindhu T. K. 
Published: November 2022

AbstractA cost-effective and energy efficient method for water sterilization is a challenging demand in the present scenario where scarcity of pure water is rising. Non-Thermal Plasma (NTP) finds promising applications in environmental processes and has advantages over conventional water treatment methods. Escherichia coli contaminated water treatment using multiple pin plasma reactor and atmospheric pressure plasma jet reactor was undertaken in this work. High voltage pulsed power was used for generating non-thermal plasma in these reactors and various configurations were tested for treating the contaminated water. The most feasible configuration among these was identified from the treatment efficiency and survival rate plots of E. coli colonies. It was observed that with an exposure of 15 min NTP, 100 percent bacterial removal was achieved using plasma jet reactor configuration. The presence of bacteria after NTP-treated time was also checked and confirmed for complete removal of bacteria. An optimum time of 15 min plasma exposure for 100 ml was found to be effective for complete removal of microorganisms and the sterility was maintained up to 60 min after the treatment. Non-thermal plasma-based treatment of bacteria-contaminated water is found to be promising and could be considered for scale-up and analysis.
A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients
Authors: Comes Maria Colomba , Fucci Livia , Mele Fabio , Bove Samantha , Cristofaro Cristian , De Risi Ivana , Fanizzi Annarita , Milella Martina , Strippoli Sabino , Zito Alfredo , Guida Michele , Massafra Raffaella 
Published: November 2022

AbstractThe application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival (DFS) in stage I–III melanoma patients is crucial to optimize patient management. In this study, we designed a deep learning-based model with the aim of learning prognostic biomarkers from WSIs to predict 1-year DFS in cutaneous melanoma patients. First, WSIs referred to a cohort of 43 patients (31 DF cases, 12 non-DF cases) from the Clinical Proteomic Tumor Analysis Consortium Cutaneous Melanoma (CPTAC-CM) public database were firstly annotated by our expert pathologists and then automatically split into crops, which were later employed to train and validate the proposed model using a fivefold cross-validation scheme for 5 rounds. Then, the model was further validated on WSIs related to an independent test, i.e. a validation cohort of 11 melanoma patients (8 DF cases, 3 non-DF cases), whose data were collected from Istituto Tumori ‘Giovanni Paolo II’ in Bari, Italy. The quantitative imaging biomarkers extracted by the proposed model showed prognostic power, achieving a median AUC value of 69.5% and a median accuracy of 72.7% on the public cohort of patients. These results remained comparable on the validation cohort of patients with an AUC value of 66.7% and an accuracy value of 72.7%, respectively. This work is contributing to the recently undertaken investigation on how treat features extracted from raw WSIs to fulfil prognostic tasks involving melanoma patients. The promising results make this study as a valuable basis for future research investigation on wider cohorts of patients referred to our Institute.
The impact of social motivation on the other-race effect under high and low social status
Authors: Fan Gaixia , Wang Yuetan , Yue Yonglei , Lei Jin , Zhang Peng , Ding Xiaobin 
Published: November 2022

AbstractThe other-race effect refers to the phenomenon in which the chance of individuals misidentifying faces from other races more than their own race is significantly higher. This study explored the effect of motivation on the other-race effect by manipulating the social status of faces. The results showed that: (1) compared to other-race faces with low social status, when individuals' perceptions of the social status of other-race faces increased, individuals' recognition scores for high social status other-race faces increased, and the other-race effect disappeared, and (2) when individuals' perceptions of the social status of other-race faces decreased, there was no significant difference in individuals' recognition scores of other-race faces, of either high or low social status. These findings suggest that motivation has a significant impact on the other-race effect.
Monocyte-to-lymphocyte ratio is significantly associated with positive QuantiFERON-TB Gold-In-Tube and adult survival: an observational study
Authors: Hua Hai-bo , Wang Hui-jie 
Published: November 2022

AbstractThis study aimed to find significant factors associated with tuberculosis (TB) infection and disease development. The participants were from National Health and Nutrition Examination Survey (NHANES) and National Death Index (NDI). The tuberculosis infection was defined as a positive QuantiFERON-TB Gold-In-Tube (QFT-GIT). The Least Absolute Shrinkage and Selection Operator (LASSO) model was used to screen variables associated with QFT-GIT among 23 laboratory measures. Then the logistic regression analyses were performed to assess the independent factors, followed by a comprehensive nomogram model construction. Receiver operating characteristic (ROC) and Decision Curve (DCA) analyses were used to assess the performance of comprehensive model on QFT-GIT result and death risk. Of 5256 individuals included, 521 individuals had positive QFT-GIT. LASSO analysis indicated that 11 variables were associated with QFT-GIT result, and logistic regression analyses further found sodium and monocyte-to-lymphocyte ratio (MLR) were independent factors. After adjusting for potential confounders, the correlation of sodium and MLR with QFT-GIT result was still observed. The comprehensive model based on sodium, MLR, and important clinical characteristics can predict 0.8 probability of positive QFT-GIT and achieve more clinical net benefit. ROC analysis by training and validation sets showed the favorable prediction performance. Comprehensive model also presented favorable performance in evaluating the death risk of individuals with positive QFT-GIT. We also found MLR rather than sodium was independently related to the death risk. Both MLR itself and comprehensive model were all significantly related to the positive QFT-GIT and death risk, which might participate in the initiation and progression of tuberculosis infection.
Neutralizing antibodies against SARS-CoV-2 variants following mRNA booster vaccination in adults older than 65 years
Authors: Durier Christine , Ninove Laetitia , Lefebvre Maeva , Radenne Anne , Desaint Corinne , Ropers Jacques , Bauer Rebecca , Lebbah Said , Carette Diane , Lachatre Marie , Lecompte Anne-Sophie , Deplanque Dominique , Botelho-Nevers Elisabeth , Conrad Anne , Dussol Bertrand , Maakaroun-Vermesse Zoha , Melica Giovanna , Nicolas Jean-François , Verdon Renaud , Kiladjian Jacques , Loubet Paul , Schmidt-Mutter Catherine , Dualé Christian , Ansart Séverine , Priet Stéphane , Levier Axel , Molino Diana , Vieillard Louis-Victorien , Parfait Béatrice , Lelièvre Jean-Daniel , Tartour Eric , de Lamballerie Xavier , Launay Odile ,   ANRS0002S CoviCompareP Group,   Study sites,   Biological resource centers, Mchantaf Gilbert , Imbert-Marcille Berthe-Marie , Montagne Samantha , Ghaleh-Marzban Bijan , Traverse-Glehen Alexandra , Vivien Denis , Cassinat Bruno , Evrard Alexandre , Metzger Catherine , Lessinger Jean-Marc , Billing Michel , Berger Marc , Leroyer Christophe ,   Laboratories, Tartour Eric , Appay Victor , Batteux Frédéric , Combadière Béhazine , Gorochov Guy , Paul Stéphane , Van Der Werf Sylvie , Eberhardt Christiane S. , Siegrist Claire-Anne , Cogné Michel , Pellegrin Isabelle , Eloit Marc ,   Trial coordination, Netzer Emmanuelle , Resch Martine , Saouzanet Marine , Meyer Laurence , Bonneton Marion ,   Sponsor, Tardieu Raphaelle , Le Mestre Soizic , Jancrey-Laval Solange , Petrov-Sanchez Ventzislava , Rosenthal Eric , Yazdanpanah Yazdan ,   Scientific Committee, Olive Daniel , Tardieu Raphaelle , Petrov-Sanchez Ventzislava , Bouakane Amel , Rieux Veronique , Madelaine Claire , Lemestre Soizic , Diallo Alpha , Lancrey-Javal Solange , Meyer Laurence , Netzer Emmanuelle , Saouzanet Marine ,   AP-HP CoviCompareM Group,   Study sites, Valour Florent , Dussol Bertrand , Melica Giovanna ,   Biological resource centers, Mchantaf Gilbert , Hisbergues Michael , Bertholon Frédérique , Icard Vinca , de Sandre-Giovannoli Annachiara , Ghaleh-Marzban Bijan ,   Laboratories, Appay Victor , Batteux Frédéric , Combadière Béhazine , Gorochov Guy , Paul Stéphane , Van Der Werf Sylvie , Eberhardt Christiane S. , Siegrist Claire-Anne , Cogné Michel ,   Trial coordination, Dropy Margot , Bouchama Fatiha , Thamri Mehdi , Lebbah Saïd , Bonneton Marion ,   Sponsor, Azimi Shorheh ,   Scientific Committee, Parfait Beatrice , Appay Victor , Batteux Frédéric , Combadière Béhazine , Gorochov Guy , Paul Stéphane , Van Der Werf Sylvie , Siegrist Claire-Anne , Cogné Michel , Valour Florent 
Published: November 2022

AbstractImmune response induced by COVID-19 vaccine booster against delta and omicron variants was assessed in 65 adults (65–84 years old) early aftesr a first booster dose. An increase in SARS-CoV-2 neutralizing antibodies was shown in individuals not previously infected without evidence of an age-related effect, with lower increase in those infected before a single dose of primary vaccination. Of note, humoral response was observed only starting from the 5th day after the boost.
Tumor-infiltrating immune cell status predicts successful response to immune checkpoint inhibitors in renal cell carcinoma
Authors: Kazama Akira , Bilim Vladimir , Tasaki Masayuki , Anraku Tsutomu , Kuroki Hiroo , Shirono Yuko , Murata Masaki , Hiruma Kaede , Tomita Yoshihiko 
Published: November 2022

AbstractImmune checkpoint inhibitors (ICI) have dramatically changed the treatment of metastatic renal cell carcinoma (mRCC). Although many studies have reported biomarkers as predicting the efficacy of ICI in mRCC, they remain controversial and have challenges to apply in real-world practice. We evaluated prognostic significance of multiple molecules associated with tumor immunity in patients treated with ICI. The molecules were detected in tumor tissues by immunohistochemical staining. We identified CD8-positive T cells and CD68-positive macrophages infiltrating into the tumor tissue as significant favorable prognostic factors for ICI treatment. Conversely, high expression of CD4-positive T cells was associated with poor response to ICI. Furthermore, we demonstrated that scoring for the expression status of these three molecules provides a remarkably accurate biomarker in patients with mRCC. Even the classical approach of immunohistochemistry could predict the outcome of ICI treatment by assessing the combined status of tumor-infiltrating immune cells.
Evaluating the potential of suburban and rural areas for tourism and recreation, including individual short-term tourism under pandemic conditions
Authors: Bielska Anna , Borkowski Andrzej Szymon , Czarnecka Adrianna , Delnicki Maciej , Kwiatkowska-Malina Jolanta , Piotrkowska Monika 
Published: November 2022

AbstractLimited mobility and restrictions in social life caused by the COVID-19 pandemic changed people’s recreational behavior and made them seek more contact with nature. As a result, the provision of new recreational spaces in the vicinity of cities gained importance. In conditions of social distancing, rural and suburban areas can be an attractive alternative to individual short-term tourism, satisfying the need for recreation and mental and physical health restoration of urban residents. In the study a methodology for assessing the tourist and recreational potential of the area (METPRET) concerning the recreational behaviors identified in the pandemic was proposed. It includes the Recreational Potential Index (RPI), which comprises four criteria: landscape values and socio-economic conditions; environmental protection; air quality; transportation accessibility. The application of the methodology is exemplified in the Mazovia Voivodeship, Poland. The research allows the determination of characteristics that potential recreation areas should have under pandemic conditions. The RPI makes it possible to select new rural and suburban areas attractive for short-term tourism. Designating additional recreational areas may contribute to the dispersion of users in existing green areas in cities, which is particularly important during a pandemic.
Identification of molecular classification and gene signature for predicting prognosis and immunotherapy response in HNSCC using cell differentiation trajectories
Authors: Yin Ji , Zheng Sihan , He Xinling , Huang Yanlin , Hu Lanxin , Qin Fengfeng , Zhong Lunkun , Li Sen , Hu Wenjian , Zhu Jiali 
Published: November 2022

AbstractHead and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis. This article aims to explore the clinical significance of cell differentiation trajectory in HNSCC, identify different molecular subtypes by consensus clustering analysis, and develop a prognostic risk model on the basis of differentiation-related genes (DRGs) for predicting the prognosis of HNSCC patients. Firstly, cell trajectory analysis was performed on single-cell RNA sequencing (scRNA-seq) data, four molecular subtypes were identified from bulk RNA-seq data, and the molecular subtypes were predictive of patient survival, clinical features, immune infiltration status, and expression of immune checkpoint genes (ICGs)s. Secondly, we developed a 10-DRG signature for predicting the prognosis of HNSCC patients by using weighted correlation network analysis (WGCNA), differential expression analysis, univariate Cox regression analysis, and multivariate Cox regression analysis. Then, a nomogram integrating the risk assessment model and clinical features can successfully predict prognosis with favorable predictive performance and superior accuracy. We projected the response to immunotherapy and the sensitivity of commonly used antitumor drugs between the different groups. Finally, we used the quantitative Reverse Transcription-Polymerase Chain Reaction (qRT-PCR) analysis and western blot to verify the signature. In conclusion, we identified distinct molecular subtypes by cell differentiation trajectory and constructed a novel signature based on differentially expressed prognostic DRGs, which could predict the prognosis and response to immunotherapy for patients and may provide valuable clinical applications in the treatment of HNSCC.
New method to apply the lumbar lordosis of standing radiographs to supine CT-based virtual 3D lumbar spine models
Authors: Hajnal Benjamin , Eltes Peter Endre , Bereczki Ferenc , Turbucz Mate , Fayad Jennifer , Pokorni Agoston Jakab , Lazary Aron 
Published: November 2022

AbstractStanding radiographs play an important role in the characterization of spinal sagittal alignment, as they depict the spine under physiologic loading conditions. However, there is no commonly available method to apply the lumbar lordosis of standing radiographs to supine CT-based virtual 3D models of the lumbar spine. We aimed to develop a method for the sagittal rigid-body registration of vertebrae to standing radiographs, using the exact geometry reconstructed from CT-data. In a cohort of 50 patients with monosegmental spinal degeneration, segmentation and registration of the lumbar vertebrae and sacrum were performed by two independent investigators. Intersegmental angles and lumbar lordosis were measured both in CT scans and radiographs. Vertebrae were registered using the X-ray module of Materialise Mimics software. Postregistrational midsagittal sections were constructed of the sagittal midplane sections of the registered 3D lumbar spine geometries. Mean Hausdorff distance was measured between corresponding registered vertebral geometries. The registration process minimized the difference between the X-rays’ and postregistrational midsagittal sections’ lordoses. Intra- and inter-rater reliability was excellent based on angle and mean Hausdorff distance measurements. We propose an accessible, accurate, and reproducible method for creating patient-specific 3D geometries of the lumbar spine that accurately represent spinal sagittal alignment in the standing position.