bluuebunny/crossref_metadata_2025_split huggingface dataset:
Value of the application of computed tomography‐based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer
Authors: Xiong Situ , Dong Wentao , Deng Zhikang , Jiang Ming , Li Sheng , Hu Bing , Liu Xiaoqiang , Chen Luyao , Xu Songhui , Fan Bing , Fu Bin 
Published: July 2023

AbstractObjectivesTo construct and validate unfavorable pathology (UFP) prediction models for patients with the first diagnosis of bladder cancer (initial BLCA) and to compare the comprehensive predictive performance of these models.Materials and MethodsA total of 105 patients with initial BLCA were included and randomly enrolled into the training and testing cohorts in a 7:3 ratio. The clinical model was constructed using independent UFP‐risk factors determined by multivariate logistic regression (LR) analysis in the training cohort. Radiomics features were extracted from manually segmented regions of interest in computed tomography (CT) images. The optimal CT‐based radiomics features to predict UFP were determined by the optimal feature filter and the least absolute shrinkage and selection operator algorithm. The radiomics model consist with the optimal features was constructed by the best of the six machine learning filters. The clinic‐radiomics model combined the clinical and radiomics models via LR. The area under the curve (AUC), accuracy, sensitivity, specificity, positive and negative predictive value, calibration curve and decision curve analysis were used to evaluate the predictive performance of the models.ResultsPatients in the UFP group had a significantly older age (69.61 vs. 63.93 years, p = 0.034), lager tumor size (45.7% vs. 11.1%, p = 0.002) and higher neutrophil to lymphocyte ratio (NLR; 2.76 vs. 2.33, p = 0.017) than favorable pathologic group in the training cohort. Tumor size (OR, 6.02; 95% CI, 1.50–24.10; p = 0.011) and NLR (OR, 1.50; 95% CI, 1.05–2.16; p = 0.026) were identified as independent predictive factors for UFP, and the clinical model was constructed using these factors. The LR classifier with the best AUC (0.817, the testing cohorts) was used to construct the radiomics model based on the optimal radiomics features. Finally, the clinic‐radiomics model was developed by combining the clinical and radiomics models using LR. After comparison, the clinic‐radiomics model had the best performance in comprehensive predictive efficacy (accuracy = 0.750, AUC = 0.817, the testing cohorts) and clinical net benefit among UFP‐prediction models, while the clinical model (accuracy = 0.625, AUC = 0.742, the testing cohorts) was the worst.ConclusionOur study demonstrates that the clinic‐radiomics model exhibits the best predictive efficacy and clinical net benefit for predicting UFP in initial BLCA compared with the clinical and radiomics model. The integration of radiomics features significantly improves the comprehensive performance of the clinical model.
Identification of age‐ and immune‐related gene signatures for clinical outcome prediction in lung adenocarcinoma
Authors: Zhou Andrew , Zhang Dalin , Kang Xiaoman , Brooks James D. 
Published: July 2023

AbstractBackgroundThe understanding of the factors causing decreased overall survival (OS) in older patients compared to younger patients in lung adenocarcinoma (LUAD) remains.MethodsGene expression profiles of LUAD were obtained from publicly available databases by Kaplan‐Meier analysis was performed to determine whether age was associated with patient OS. The immune cell composition in the tumor microenvironment (TME) was evaluated using CIBERSORT. The fraction of stromal and immune cells in tumor samples were also using assessed using multiple tools including ESTIMATE, EPIC, and TIMER. Differentially expressed genes (DEGs) from the RNA‐Seq data that were associated with age and immune cell composition were identified using the R package DEGseq. A 22‐gene signature composed of DEGs associated with age and immune cell composition that predicted OS were constructed using Least Absolute Shrinkage and Selection Operator (LASSO).ResultsIn The Cancer Genome Atlas (TCGA)‐LUAD dataset, we found that younger patients (≤70) had a significant better OS compared to older patients (>70). In addition, older patients had significantly higher expression of immune checkpoint proteins including inhibitory T cell receptors and their ligands. Moreover, analyses using multiple bioinformatics tools showed increased immune infiltration, including CD4+ T cells, in older patients compared to younger patients. We identified a panel of genes differentially expressed between patients >70 years compared to those ≤70 years, as well as between patients with high or low immune scores and selected 84 common genes to construct a prognostic gene signature. A risk score calculated based on 22 genes selected by LASSO predicted 1, 3, and 5‐year OS, with an area under the curve (AUC) of 0.72, 0.72, 0.69, receptively, in TCGA‐LUAD dataset and an independent validation dataset available from the European Genome‐phenome Archive (EGA).ConclusionOur results demonstrate that age contributes to OS of LUAD patients atleast in part through its association with immune infiltration in the TME.
ZDHHC11B is decreased in lung adenocarcinoma and inhibits tumorigenesis via regulating epithelial–mesenchymal transition
Authors: Dai Huanyu , Wu Ruiyue , Zhang Jiatong , Dou Rong , Xu Maohong , Wang Jiahui , Wang Jun , Su Fei , Zhang Tao 
Published: July 2023

AbstractPurposeThe role and mechanism of zinc finger DHHC protein 11B (ZDHHC11B) in lung adenocarcinoma (LUAD) remain unclear. We, thus, analyzed the expression pattern, biological function, and potential mechanism of ZDHHC11B in LUAD.MethodsThe expression level and prognostic value of ZDHHC11B were evaluated based on The Cancer Genome Atlas (TCGA) database and further confirmed in LUAD tissues and cells. The effect of ZDHHC11B on the malignant biological progression of LUAD was evaluated in vitro and in vivo. Gene set enrichment analysis (GSEA) and western blot were used to explore the molecular mechanisms of ZDHHC11B.ResultsIn vitro, ZDHHC11B inhibited the proliferation, migration, and invasion of LUAD cells and induced the apoptosis of LUAD cells. In addition, ZDHHC11B inhibited the growth of tumors in nude mice. GSEA revealed that ZDHHC11B expression is positively correlated with epithelial–mesenchymal transition (EMT). Western blot analysis demonstrated that molecular markers of EMT were inhibited under ZDHHC11B overexpression conditions.ConclusionsOur findings indicated that ZDHHC11B plays a significant role in inhibiting tumorigenesis via EMT. In addition, ZDHHC11B may be a candidate molecular target for LUAD treatment.
The effect of artificial intelligence (AI) robot characteristics and dialectical thinking on AI robot adoption intention
Authors: Kim Dongyoup , Hwang Kyusung , Lee Eunkyung , Yoon Yeosun 
Published: July 2023

AbstractArtificial intelligence (AI) is an essential strategic element for many industries. Practitioners are exploring ways to incorporate AI into their products, services, and processes, as it transforms everyday life. Recent studies have increasingly examined how consumers respond to various forms of AI robots. This study adds to the existing literature by investigating the factors that drive consumers to adopt AI robots and the underlying psychological processes. Through three studies, we show that consumers' perceived congruence in an AI robot plays an important role in determining their adoption intention for the AI robot. We further demonstrate that such a perception of congruence is jointly determined by the AI robot's benefit type and appearance familiarity. The findings suggest that consumers are more inclined to adopt an AI robot when they are designed to provide hedonic benefits and resembles real‐life objects. By contrast, an AI robot designed for utilitarian benefits are more likely to be adopted when it has the appearance of a machine. In addition, we show that perception of fit mediates this joint effect. Furthermore, we show that the effect of congruence perception on adoption intention is attenuated when consumers have a higher level of dialectical thinking. This study discusses both the theoretical and practical implications.
Optimization of β‐Cyclodextrin‐Assisted Extraction of Apigenin and Luteolin from Chrysanthemum indicum L. Using Response Surface Methodology Combined with Different Optimization Algorithms and Evaluation of Its Antioxidant Capacity
Authors: Nguyen Thu Hang , Nguyen Thu Hang , Nguyen‐Van Phuong 
Published: July 2023

AbstractCyclodextrins and their derivatives have shown successful applications in extracting active compounds from medicinal plants. However, the use of β‐cyclodextrin derivatives for extracting apigenin and luteolin from Chrysanthemum indicum L. remains unexplored. Additionally, the application of nature‐inspired optimization algorithms in optimizing extraction conditions has been limited. Therefore, this study was performed with the aims of optimizing the extraction of apigenin and luteolin from C. indicum with the assistance of 2‐hydroxypropyl‐β‐cyclodextrin (HP‐β‐CD) using response surface methodology combined with various optimization algorithms, including desirability function approach, genetic algorithm, particle swarm optimization, and firefly algorithm. The results showed that the optimal conditions obtained by the four algorithms were consistent, with an extraction time of 60 min, HP‐β‐CD concentration of 30 mg/mL, and a solvent‐to‐solid ratio of 24 mg/mL. At these conditions, the apigenin and luteolin contents were 1.362±0.008 and 8.724±0.117 mg/g, respectively. The results also showed that HP‐β‐CD‐assisted extraction exhibited significantly higher apigenin and luteolin contents compared to conventional solvent. Comparable results were also yielded from the antioxidant assay. Our study suggested that the nature‐inspired optimization algorithms might be potential options in enhancing the effectiveness of the traditional response surface methodology for the optimization of extraction of natural products.
Dessert or Poison? The Roles of Glycosylation in Alzheimer's, Parkinson's, Huntington's Disease, and Amyotrophic Lateral Sclerosis
Authors: Yang Jiajun , Li Hongmei , Zhao Yuhui 
Published: July 2023

AbstractMinistry of Education and Key Laboratory of Neurons and glial cells of the central nervous system (CNS) are modified by glycosylation and rely on glycosylation to achieve normal neural function. Neurodegenerative disease is a common disease of the elderly, affecting their healthy life span and quality of life, and no effective treatment is currently available. Recent research implies that various glycosylation traits are altered during neurodegenerative diseases, suggesting a potential implication of glycosylation in disease pathology. Herein, we summarized the current knowledge about glycosylation associated with Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and Amyotrophic lateral sclerosis (ALS) pathogenesis, focusing on their promising functional avenues. Moreover, we collected research aimed at highlighting the need for such studies to provide a wealth of disease‐related glycosylation information that will help us better understand the pathophysiological mechanisms and hopefully specific glycosylation information to provide further diagnostic and therapeutic directions for neurodegenerative diseases.
Processing black rice grains to obtain flour: Influence of pretreatments on mass transfer, in vitro digestibility, and technological properties
Authors: Santos Newton C. , Almeida Raphael Lucas J. , Saraiva Maria Monique T. , Silva Virgínia M. de A. , de Sousa Francisca M. , de Lima Thalis L. B. , Carvalho Raniza de O. , Gonçalves Mailson G. , Silva Eugênia T. de V. , André Anastácia Maria M. C. N. , Nascimento Amanda P. da S. , Leite Filho Manoel T. 
Published: July 2023

AbstractBackground and ObjectivesThe objective of this work was to evaluate the processing of black rice grains to obtain flour and to verify the influence of pretreatments on mass transfer, in vitro digestibility, and technological properties. The grains were submitted to heat moisture treatment (HMT) with a final humidity of 30% at 110°C for 2 h, black rice pretreatment with ethanol (BRE) in the proportion 1:1 (wt/wt) for 5 min/25°C, and high hydrostatic pressure (HHP) under conditions of 200 MPa for 10 min/25°C. Then, the grains were dried at 60°C at an air velocity of 1.5 m/s and ground in an electric multigrain grinder. Was analyzed the mass transfer, in vitro digestion, water, oil, and milk retention capacity, total phenolic compounds (TPC), total anthocyanins (TA), antioxidant activities by (2,2′‐azino‐bis‐(3‐ethylbenzothiazoline‐6‐sulfonic) acid, 2,2‐diphenyl‐1‐picrylhydrazyl, ferric‐reducing antioxidant power, and oxygen radical absorbance capacity Surface appearance by scanning electron microscopy, and thermal analysis by differential scanning calorimetry was carried out.FindingsThe grains when submitted to the HHP obtained a reduction of 58.82% in the drying time, while the HMT promoted an increase of 23.5% when compared to the control. The pretreatments influenced the in vitro digestibility, where the HHP had the highest value (86.33), as well as the highest water, oil, and milk retention capacities. BRE positively impacted TPC, TA, and antioxidant activities regardless of the methods used. HMT promoted the formation of cavities, fissures, and holes on the surface, resulting in a rough appearance and presenting greater thermal resistance with an enthalpy of 12.35 J/g.ConclusionsThis research paved the way for potential commercial applications of black rice flour as an ingredient in functional foods.Significance and NoveltyThis study adds to the significance and novelty of research on black rice processing by evaluating the influence of different pretreatments on mass transfer, in vitro digestibility, and technological properties.
Lethal multiple pterygium syndrome in a newborn, a case report
Authors: Sadeghimoghadam Parvaneh , Shirdel Saeedeh , Hantoushzadeh Sedigheh , Hashemi Zeinab , Ghaemi Marjan 
Published: July 2023

Key Clinical MessageLethal multiple pterygium syndrome is a very rare genetic disorder. The manifestations of this condition include growth deficiency of the fetus, craniofacial anomalies, joint contracture, and skin webbing (pterygia). This disorder is fatal before birth or shortly after birth. We reported a case of lethal multiple pterygium syndrome with multiple anomalies including pterygia involving the axilla, bilateral antecubital fossa, and groin. Arthrogryposis involving multiple lower and upper extremities joints. Cleft palate, microstomia and limitation of mouth opening, webbed neck, asymmetric small and narrow chest, ambiguous genitalia, depressed and wide nasal bridge, antemongoloid slant, low‐set, malformed, and posteriorly rotated ears, pterygia, syndactyly and camptodactyly of hands and rocket bottom feet. LMPS is a congenital genetic disease with multiple anomalies that is fatal in the second and third trimesters of pregnancy or shortly after birth. With genetic testing and counseling, it can be prevented from recurring in subsequent pregnancies.
Impact of Weibull Wind Speed Distribution on the Costs of Producing Power‐to‐X Products
Authors: Machhammer Otto , Janisch Ingo 
Published: July 2023

AbstractA calculation method based on Weibull parameters and cost functions is presented to optimize the levelized cost of electricity and the costs for subsequent power‐to‐X (PTX) production from wind power. PTX products considered are methanol, ammonia, synthetic gasoline, and synthetic diesel as well as the hydrogenation of liquid organic hydrogen carrier. The onshore production sites Haru‐Oni in Chile, Tarfaya in Morocco, and Dornum in Germany were used for illustrative purposes. The model calculations show that the rated power of the installed wind turbines for power generation is generally optimal between 1 and 3 MWel in contrast to the current trend towards ever higher rated power. Also, it has been found that the recoverable wind energy increases with rising Weibull shape factor k if the wind speed at which the rated power is reached is smaller than the Weibull scaling factor A.
EPR Sensing of a Cation Species by Aza‐Crown Ethers Incorporating a Persistent Nitroxidic Radical Unit
Authors: Poderi Cecilia , Neira Iago , Franchi Paola , Mezzina Elisabetta , Baù Ilario , Neviani Paolo , Lucarini Marco 
Published: July 2023

AbstractNew nitroxides based on aza‐crown ethers were prepared and employed as selective sensors for the detection of inorganic and organic cations by EPR analysis of the corresponding host–guest complexes. The nitroxide unit behaves as a sensitive probe for a number of alkali and alkaline earth metal cations affording EPR spectra differing in the value of nitrogen hyperfine constants and in the appearance of splitted signals due to the non‐zero nuclear spin of some metal cation upon complexation. Owing to the remarkable EPR spectral differences between the host and the corresponding cation complex the new macrocycles are likely to act as multitasking tools to recognize several cationic species. EPR behaviour of the larger nitroxide azacrown 1⋅ when acting as a wheel in a radical synthetic bistable [2]rotaxane containing both secondary dialkylammonium and 1,2‐bis(pyridinium) molecular stations, was also investigated. Reversible movements of the macrocycle between the two recognition sites in the rotaxane were promptly revealed by EPR, which shows significant changes either in nitrogen coupling constant values (aN) or in the spectral shape in the two rotaxane co‐conformations.
Selective and pH‐Independent Detection of Ba2+ in Water by a Benzo‐21‐crown‐7‐Functionalized BODIPY
Authors: Sprenger Tobias , Schwarze Thomas , Müller Holger , Sperlich Eric , Holdt Hans‐Jürgen , Nazaré Marc , Hentsch Axel , Eidner Sascha , Kraft Ronja , Kumke Michael U. 
Published: July 2023

AbstractHerein, we report on highly Ba2+ selective fluorescence sensing in water by a fluorescent probe consisting of a benzo‐21‐crown‐7 as a Ba2+ binding unit (ionophore) and a tetramethylated BODIPY fluorophore as a fluorescence reporter. This fluorescent probe showed a Ba2+ induced fluorescence enhancement (FE) by a factor of 12±1 independently of the pH value and a high Ba2+ sensitivity with a limit of detection (LOD) of (17.2±0.3) μM. Moreover, a second fluorescent probe consisting of the same BODIPY fluorophore, but a benzo‐18‐crown‐6 as a cation‐responsive binding moiety, showed an even higher FE upon Ba2+ complexation by a factor of 85±3 and a lower LOD of (13±3) μM albeit a lower Ba2+ selectivity. The fluorescence sensing mechanism of Ba2+ was further investigated by time‐resolved fluorescence as well as transient absorption spectroscopy (TAS) and it turned out that within these probes a blocking of a photoinduced electron transfer (PET) by Ba2+ is very likely responsible for the FE.
Finding Order in Disorder: The Highly Disordered Lithium Oxonitridophosphate Double Salt Li8+xP3O10−xN1+x (x=1.4(5))
Authors: Schneider Stefanie , Kreiner Sandra T. , Balzat Lucas G. , Lotsch Bettina V. , Schnick Wolfgang 
Published: July 2023

AbstractThe crystalline lithium oxonitridophosphate Li8+xP3O10−xN1+x, was obtained in an ampoule synthesis from P3N5 and Li2O. The compound crystallizes in the triclinic space group P
with a=5.125(2), b=9.888(5), c=10.217(5) Å, α=70.30(2), β=76.65(2), γ=77.89(2)°. Li8+xP3O10−xN1+x is a double salt, the structure of which contains distinctive complex anion species, namely non‐condensed P(O,N)4 tetrahedra, and P(O,N)7 double tetrahedra connected by one N atom. Additionally, there is mixed occupation of O/N positions, which enables further anionic species by variation of O/N occupancies. To characterize these motifs in detail, complementary analytical methods were applied. The double tetrahedron exhibits significant disorder in single‐crystal X‐ray diffraction. Furthermore, the title compound is a Li+ ion conductor with a total ionic conductivity of 1.2×10−7 S cm−1 at 25 °C, and a corresponding total activation energy of 0.47(2) eV.
Rethinking Membrane Processes for Food: From Particle Behavior to Innovative Membrane Cascades
Authors: Schroën Karin , Bouhid de Aguiar Izabella 
Published: July 2023

AbstractWithin the food industry, membrane separation is commonplace due to its relatively low energy consumption. It allows fractionation of various feeds (e.g., milk) into starting materials for food design. We feel that considerable progress can still be made. For this, the specific properties of the components of interest would need to be taken into account, such as their mobility in flow, and their deformability in relation to the actual membrane structure. Furthermore, improvements are possible through cascaded use of membrane processes, and upgrading waste streams, which leads to new opportunities.
Impact of pericoronary adipose tissue attenuation on recurrence after radiofrequency catheter ablation for atrial fibrillation
Authors: Wang Zhe , Wang Yi‐Jia , Chen Jia‐Wei , Ren Li‐Chen , Guo He‐He , Chen Xiao‐Jie , Dong Jian‐Zeng , Chen Ying‐Wei , Sun Yi‐Hong 
Published: July 2023

AbstractBackgroundInflammation plays a vital role in the occurrence and progression of atrial fibrillation (AF). The association between pericoronary adipose tissue attenuation (PCATA) and AF recurrence following ablation has not been fully clarified.HypothesisWe aimed to evaluate the association between PCATA and AF recurrence after radiofrequency catheter ablation (RFCA).MethodsPatients who underwent the first RFCA for AF and performed coronary computed tomography angiography before ablation between 2018 and 2021 were enrolled. The predictive values of PCATA for AF recurrence after ablation were investigated. The area under curve (AUC), relative integrated discrimination improvement (IDI), and categorical free net reclassification improvement (NRI) were used to assess the discrimination ability of different models for AF recurrence.ResultsDuring 1‐year follow‐up, 34.1% patients experienced AF recurrence. The multivariable analysis model revealed that PCATA of the right coronary artery (RCA) was an independent risk factor for AF recurrence. Patients with a high level of RCA‐PCATA had a high risk of recurrence, after adjusting for other risk factors by restricted cubic splines. The performance in predicting AF recurrence was significantly improved by adding the marker of RCA‐PCATA to the clinical model (AUC: 0.724 vs. 0.686, p = .024), with a relative IDI of 0.043 (p = .006) and continuous NRI of 0.521 (p < .001).ConclusionsPCATA of RCA was independently associated with AF recurrence after ablation. PCATA may be helpful for risk classification for AF ablation patients.