bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low specific absorption rate and gain‐enhanced meandered bowtie antenna utilizing flexible dipole‐like artificial magnetic conductor for medical application at 2.4 GHz
Authors: Othman Nazirah , Samsuri Noor Asmawati , Rahim Mohamad Kamal A. , Kamardin Kamilia 
Published: July 2020

AbstractA flexible meander bowtie antenna incorporated with dipole‐like artificial magnetic conductor (AMC) is proposed. Two different types of AMC design are presented for comparison. A new medical transdermal patch is used as the dielectric substrate for both antenna and AMC. The gain enhancement is achieved using a modified dipole‐like unit cell of the AMC. The effect of the substrate thickness and separation distance between the antenna and the AMC is investigated. The results show that the antenna is operating at its original frequency (as in free space) when the antenna‐AMC separation distance is more than one‐eighth of the wavelength. The directive radiation pattern with high gain is obtained when the flexible antenna is placed above the AMC structure. The AMC increases the antenna's gain by 4.15 and 4.931 dB for single‐dipole AMC and double‐dipole AMC, respectively. The 10 g specific absorption rate is reduced by 98% and 68% for both simulated and measured results, respectively. The results demonstrate that the proposed flexible antenna‐AMC is suitable for on‐body application specifically for continuous health monitoring.
Ultrathin Nitrogen‐Enriched Carbon Cover‐Enhanced Stability and Wettability of Au Nanocrystals on Core‐Shell Fe3O4@N‐Carbon Particles for Heterogeneous Catalysis
Authors: Wang Junyan , Tian Kesong , Cao Ling , Guo Wanchun , Li Ruifei , Wang Hongchao , Xu Zhaopeng , Zhou Yunchun , Wang Haiyan 
Published: July 2020

AbstractWe report a core‐shell Fe3O4@nitrogen‐doped carbon@Au@nitrogen‐doped carbon (Fe3O4@N‐Carbon@Au@N‐Carbon) nanocatalyst based on a combined strategy, layer‐by‐layer deposition of aminophenol‐formaldehyde (APF) resin and subsequent pyrolysis. Isolated Au nanocrystals were sandwiched between ultrathin nitrogen‐enriched carbon cover and core‐shell Fe3O4@N‐Carbon. Transmission electron microscopy, X‐ray diffractor, X‐ray photoelectron spectroscopy, and other analysis methods were used to characterize the catalyst. Ultrathin nitrogen‐enriched carbon cover could stabilize Au nanocrystals, enhance their wettability with liquid polar organic substrates, and offer a relatively short transfer route of substrates towards active Au sites during catalytic transformations. For the reduction of 4‐nitrophenol, 2‐nitrophenol, 4‐nitroaniline and 2‐nitroaniline, the catalyst exhibits corresponding high turnover frequency of 378, 522, 834 and 846 h−1, respectively. The catalyst also shows high stability over 20 cycles almost without obvious structural damage and activity loss for reduction of 4‐nitrophenol.
Ultrasonic‐Assisted Preparation Of Perovskite‐Type Lanthanum Nickelate Nanostructures and Its Photocatalytic Properties
Authors: Maridevaru Madappa C , Wu Jerry J , Viswanathan Mangalaraja Ramalinga , Anandan Sambandam 
Published: July 2020

AbstractIn the present investigation, the perovskite‐type Lanthanum Nickelate (LaNiO3, LNO) nanostructure samples with the incompatible surface morphology were successfully synthesized by a single step ultrasonication processes followed by annealing at various temperatures in the range of 500–800 °C. The phase identification and chemical composition of the perovskite‐type LaNiO3 nanostructure was inspected by powder X‐ray diffraction (XRD) and X‐ray photoelectron spectroscopy (XPS). Besides, the physical and chemical techniques such as Fourier transform infrared spectroscopy (FT‐IR), UV‐Vis diffuse reflectance (UV‐vis DRS) studies, and microscopic studies (SEM and TEM) revealed the nature of the LNO samples. Moreover, as a result of calcination and phase transformation, a significant comparative bandgap around 1.78‐2.12 eV observed, which was fascinating to examine their visible photons induced photocatalytic degradation of Orange‐G azo dye (OG). The impact of various experimental circumstances inclusive of initial dye concentration, catalyst amount, pH of the reaction medium, and the effect of different oxidants was optimized. Under the optimum context, the photodegradation efficiency of the OG dye with LNO‐800 was 96 % whereas LNO‐800 with oxidant peoxodisulphate (PDS) shows 98 % activity within the 240 min and 150 min, respectively. After each photocatalytic experiment, photocatalyst samples can be effortlessly separated from the reaction mixture and shows almost equivalent photocatalytic effectiveness after multiple cycles intimated the superior photostability of LNO samples.
Multi‐walled Carbon Nanotubes Grafted by Polyvinyl Alcohol and Its Demulsification Performance in Oily Wastewater
Authors: Jiang Xia , Ye Fan , Zheng Lihua , Mi Yuanzhu , Zhang Zejun , Yuan Huaikui , Liu Wangfu , Kuang Jiazhe , Luo Yue 
Published: July 2020

AbstractMulti‐walled carbon nanotubes grafted by polyvinyl alcohol (CNTs@PVA) were synthesized via free radical reaction process under ultrasonic condition and used in oily wastewater for the demulsification. FT‐IR, UV‐Vis, SEM and TGA were employed to characterize the as‐prepared CNTs@PVA. The demulsification performance in oily wastewater was estimated by bottle test. When the CNTs@PVA dosage was 80 mg/L, the light transmittance of separated water and the oil removal rate of the emulsions at room temperature for 30 min could reach 84.2% and 97.1%, respectively. In addition, the demulsification mechanism was systemically investigated by dynamic interfacial tension, interfacial activity, wettability, zeta potential and optical microscope. It suggested that PVA could tune the wettability of multi‐walled carbon nanotubes by the surface modification. The change of the wettability is beneficial to the migration of CNTs@PVA to the oil‐water interface, and accelerate the coalescence of oil droplets. The current finding provides a new non‐toxic and high efficiency demulsifier for the oily wastewater.
The Effect of Queuing Technology on Customer Experience in Physical Retail Environments
Authors: Obermeier Gabriele , Zimmermann Robert , Auinger Andreas 
Published: July 2020

Abstract
Queuing systems manage the order of customers waiting for their service encounter fairly and equitably and influence the perception of their experience in a physical retail store. In this field study, we investigate a self-service and a human-operated queuing system, both offering additional features, designed to offer a higher level of personalization and convenience for the customer’s waiting time. Our study shows that advanced queuing technologies in stores, with generally low customer frequency and short waiting times, show no statistically significant effect on a customer’s perception of the overall customer experience, satisfaction or intention to repurchase. However, customers were satisfied with the technologies and evaluated their queuing experience as effortless, easy and quick, which shows general support for those technologies. Beyond the statistical analysis, our mixed-method approach contributes to a broad understanding of advanced queuing technology for practitioners, retailers and developers of such systems.
Phase transition and chaos in charged SYK model
Authors: Sorokhaibam Nilakash 
Published: July 2020

Abstract
We study chaotic-integrable transition and the nature of quantum chaos in SYK model with chemical potential. We use a novel numerical technique to calculate the partition function explicitly. We show the phase transition in the presence of large chemical potential. We also show that a mass-like term consisting of two fermion random interaction (q = 2 SYK term) does not give rise to a sharp transition. We find that turning on the chemical potential suppresses the Lyapunov exponent in the chaotic phase exponentially.
Radiomics in radiation oncology—basics, methods, and limitations
Authors: Lohmann Philipp , Bousabarah Khaled , Hoevels Mauritius , Treuer Harald 
Published: July 2020

AbstractOver the past years, the quantity and complexity of imaging data available for the clinical management of patients with solid tumors has increased substantially. Without the support of methods from the field of artificial intelligence (AI) and machine learning, a complete evaluation of the available image information is hardly feasible in clinical routine. Especially in radiotherapy planning, manual detection and segmentation of lesions is laborious, time consuming, and shows significant variability among observers. Here, AI already offers techniques to support radiation oncologists, whereby ultimately, the productivity and the quality are increased, potentially leading to an improved patient outcome. Besides detection and segmentation of lesions, AI allows the extraction of a vast number of quantitative imaging features from structural or functional imaging data that are typically not accessible by means of human perception. These features can be used alone or in combination with other clinical parameters to generate mathematical models that allow, for example, prediction of the response to radiotherapy. Within the large field of AI, radiomics is the subdiscipline that deals with the extraction of quantitative image features as well as the generation of predictive or prognostic mathematical models. This review gives an overview of the basics, methods, and limitations of radiomics, with a focus on patients with brain tumors treated by radiation therapy.
Nomogram Analysis and Internal Validation to Predict the Risk of Cystobiliary Communication in Patients Undergoing Hydatid Liver Cyst Surgery
Authors: Wang Zhan , Xu Jin , Pang MingQuan , Guo Bin , Xu XiaoLei , Wang HaiJiu , Zhou Ying , Ren Li , Zhang LingQiang , Ma Jie , Fan HaiNing 
Published: July 2020

AbstractPurposeBiliary leakage caused by cystobiliary communication (CBC) is a common clinical concern. This study sought to identify predictors of CBC in hepatic cystic echinococcosis (HCE) patients undergoing hydatid liver cyst surgery and establish nomograms to predict CBC.MethodsA predictive model was established in a training cohort of 310 HCE patients diagnosed between January 2013 and May 2017. Upon revision of the records of clinical parameters and imaging features of these patients, the lasso regression model was used to optimize feature selection for the CBC risk model. Combined with feature selection, a CBC nomogram was developed with multivariable logistic regression. C‐index and calibration plots were used to analyze and evaluate the discrimination and calibration. The net benefit and predictive accuracy of the nomogram were performed via decision curve analysis (DCA) and receiver operating characteristic (ROC) curve. An independent validation cohort of 132 patients recruited from June 2017 to May 2019 was used to evaluate the practicability of the nomogram.ResultsPredictors contained four features, namely alkaline phosphatase (ALP), glutamyl transpeptidase (GGT), cyst size and cyst location. The C‐index of the nomogram is 0.791 (95% CI, 0.736–0.845), while the C‐index verified by bootstrap is 0.746, indicating high prediction accuracy. The area under the curve (AUC) of the CBC in training was 0.766. ROC curve analysis demonstrated high sensitivity and specificity. Decision curve analysis confirmed the CBC nomogram was clinically useful when the intervention was determined at the non‐adherence possibility threshold of 8%.ConclusionThe nomogram developed using the ALP, GGT, cyst size and cyst location could be used to facilitate the CBC risk prediction in HCE patients.
Case study of an autoantibody panel for early detection of lung cancer and ground-glass nodules
Authors: Huo Yunli , Guo Zijian , Gao Xuehui , Liu Zhongjuan , Zhang Ruili , Qin Xuzhen 
Published: July 2020

Abstract
Purpose
Increasing lung cancer incidence in China with a high death rate due to late diagnosis highlights the need for biomarkers, such as panels of autoantibodies (AAbs), for prediction and early lung cancer diagnosis. We conducted a study to further evaluate the clinical performance of an AAb diagnostic kit.

Methods
Using enzyme-linked immunosorbent assay, levels of seven AAbs in serum samples from 121 patients with newly diagnosed lung cancer, 84 controls (34 healthy individuals and 50 patients with benign lung disease), and 100 indeterminate solid nodules, were measured. Participants were followed up until 6 months after a positive test result to confirm lung cancer diagnosis.

Results
The seven AAb concentration was significantly higher in lung cancer patients than in controls (P < 0.05). The seven AAb sensitivity and specificity for newly diagnosed lung cancer were 45.5% and 85.3%, respectively, while the seven AAb combined area under the curve (in lung cancer patients versus controls) was 0.660. Of the 28 patients with solid nodules with positive test results, 8 and 3 were diagnosed with lung cancer and benign lung disease, respectively, during follow-up. The positive predictive value of the experiment was 72.7%.

Conclusion
Positive AAb test results were associated with a high risk of lung cancer. The seven-AAb panel also had a high predictive value for detecting lung cancer in patients with solid nodules. Our seven lung cancer autoantibody types can provide an important early warning sign in the clinical setting.
Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone Characteristics
Authors: Gebre Robel K. , Hirvasniemi Jukka , Lantto Iikka , Saarakkala Simo , Leppilahti Juhana , Jämsä Timo 
Published: July 2020

AbstractThe incidence of low-energy acetabular fractures has increased. However, the structural factors for these fractures remain unclear. The objective of this study was to extract trabecular bone architecture and proximal femur geometry (PFG) measures from clinical computed tomography (CT) images to (1) identify possible structural risk factors of acetabular fractures, and (2) to discriminate fracture cases from controls using machine learning methods. CT images of 107 acetabular fracture subjects (25 females, 82 males) and 107 age-gender matched controls were examined. Three volumes of interest, one at the acetabulum and two at the femoral head, were extracted to calculate bone volume fraction (BV/TV), gray-level co-occurrence matrix and histogram of the gray values (GV). The PFG was defined by neck shaft angle and femoral neck axis length. Relationships between the variables were assessed by statistical mean comparisons and correlation analyses. Bayesian logistic regression and Elastic net machine learning models were implemented for classification. We found lower BV/TV at the femoral head (0.51 vs. 0.55, p = 0.012) and lower mean GV at both the acetabulum (98.81 vs. 115.33, p < 0.001) and femoral head (150.63 vs. 163.47, p = 0.005) of fracture subjects when compared to their matched controls. The trabeculae within the femoral heads of the acetabular fracture sides differed in structure, density and texture from the corresponding control sides of the fracture subjects. Moreover, the PFG and trabecular architectural variables, alone and in combination, were able to discriminate fracture cases from controls (area under the receiver operating characteristics curve 0.70 to 0.79). In conclusion, lower density in the acetabulum and femoral head with abnormal trabecular structure and texture at the femoral head, appear to be risk factors for low-energy acetabular fractures.
A formula for hidden regular variation behavior for symmetric stable distributions
Authors: Forsström Malin Palö , Steif Jeffrey E. 
Published: July 2020

AbstractWe develop a formula for the power-law decay of various sets for symmetric stable random vectors in terms of how many vectors from the support of the corresponding spectral measure are needed to enter the set. One sees different decay rates in “different directions”, illustrating the phenomenon of hidden regular variation. We give several examples and obtain quite varied behavior, including sets which do not have exact power-law decay.
Phenomenology of imagining and the pragmatics of fictional language
Authors: Summa Michela 
Published: July 2020

AbstractThis paper focuses on the performative character of fictional language. While assuming that all speaking is a form of acting, it aims to shed light on the nature of fictional, and particularly literary, speech acts. To this aim, relevant input can be found in (a) the discussion of the ontological status of fictional entities and of their constitution and in (b) the inquiry into the interaction between author and receiver of a fictional work. Based on the critical assessment of different approaches in the debate on speech-act theory and literary fiction, the article first clarifies why the study of the performative character of fictional language cannot be reduced to either the discussion of the status of singular speech acts in the fiction or the inquiry into the pretend or unserious nature of fictional speech acts formulated by an author. While referring to Roman Ingarden’s, Jean-Paul Sartre’s, and Wolfgang Iser’s work, it subsequently argues that such a performative character should be understood as a specific serious affordance—or appeal—to imagine and thus to participate in the constitution of the fictional world.
Alleviation of salinity stress in plants by endophytic plant-fungal symbiosis: Current knowledge, perspectives and future directions
Authors: Gupta Sneha , Schillaci Martino , Walker Robert , Smith Penelope M. C. , Watt Michelle , Roessner Ute 
Published: July 2020

AbstractSalinization of soil with sodium chloride ions inhibits plant functions, causing reduction of yield of crops. Salt tolerant microorganisms have been studied to enhance crop growth under salinity. This review describes the performance of endophytic fungi applied to crops as a supplement to plant genetics or soil management to alleviate salt stress in crops. This is achieved via inducing systemic resistance, increasing the levels of beneficial metabolites, activating antioxidant systems to scavenge ROS, and modulating plant growth phytohormones. Colonization by endophytic fungi improves nutrient uptake and maintains ionic homeostasis by modulating ion accumulation, thereby restricting the transport of Na+ to leaves and ensuring a low cytosolic Na+:K+ ratio in plants. Participating endophytic fungi enhance transcripts of genes encoding the high Affinity Potassium Transporter 1 (HKT1) and the inward-rectifying K+ channels KAT1 and KAT2, which play key roles in regulating Na+ and K+ homeostasis. Endophytic-induced interplay of strigolactones play regulatory roles in salt tolerance by interacting with phytohormones. Future research requires further attention on the biochemical, molecular and genetic mechanisms crucial for salt stress resistance requires further attention for future research. Furthermore, to design strategies for sustained plant health with endophytic fungi, a new wave of exploration of plant-endophyte responses to combinations of stresses is mandatory.
Seropositivity for pathogens associated with chronic infections is a risk factor for all-cause mortality in the elderly: findings from the Memory and Morbidity in Augsburg Elderly (MEMO) Study
Authors: Zeeb Marius , Kerrinnes Tobias , Cicin-Sain Luka , Guzman Carlos A. , Puppe Wolfram , Schulz Thomas F. , Peters Annette , Berger Klaus , Castell Stefanie , Karch André 
Published: July 2020

AbstractImmunostimulation by chronic infection has been linked to an increased risk for different non-communicable diseases, which in turn are leading causes of death in high- and middle-income countries. Thus, we investigated if a positive serostatus for pathogens responsible for common chronic infections is individually or synergistically related to reduced overall survival in community dwelling elderly. We used data of 365 individuals from the German MEMO (Memory and Morbidity in Augsburg Elderly) cohort study with a median age of 73 years at baseline and a median follow-up of 14 years. We examined the effect of a positive serostatus at baseline for selected pathogens associated with chronic infections (Helicobacter pylori, Borrelia burgdorferi sensu lato, Toxoplasma gondii, cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1/2, and human herpesvirus 6) on all-cause mortality with multivariable parametric survival models. We found a reduced survival time in individuals with a positive serostatus for Helicobacter pylori (accelerated failure time (AFT) − 15.92, 95% CI − 29.96; − 1.88), cytomegalovirus (AFT − 22.81, 95% CI − 36.41; − 9.22) and Borrelia burgdorferi sensu lato (AFT − 25.25, 95% CI − 43.40; − 7.10), after adjusting for potential confounders. The number of infectious agents an individual was seropositive for had a linear effect on all-cause mortality (AFT per additional infection − 12.42 95% CI − 18.55; − 6.30). Our results suggest an effect of seropositivity for Helicobacter pylori, cytomegalovirus, and Borrelia burgdorferi sensu lato on all-cause mortality in older community dwelling individuals. Further research with larger cohorts and additional biomarkers is required, to assess mediators and molecular pathways of this effect.
Wie authentisch führe ich? Prüfung der Selbsteinschätzungsform des Deutschen Inventars Authentischer Führung
Authors: Reineboth Magdalena , Le Thu Ha Nensy , Franke-Bartholdt Luise , Frömmer Dirk , Wegge Jürgen , Strobel Anja 
Published: July 2020

ZusammenfassungDieser Beitrag der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ beschäftigt sich mit der Prüfung und Validierung der Selbsteinschätzungsform des Deutschen Inventars Authentischer Führung.Authentische Führung hat sich in den letzten Jahren als ein zentrales positives Führungskonzept herausgebildet. Allerdings liegt im deutschsprachigen Raum bisher nur ein Instrument zur Fremdeinschätzung vor: Das Deutsche Inventar authentischer Führung (DIAF-F). In diesem Beitrag wird ein Instrument zur Selbsteinschätzung authentischer Führung (DIAF-S) mit den Komponenten Selbstbewusstheit, Transparenz in Beziehungen, ausgewogene Informationsverarbeitung und verinnerlichte moralische Perspektive vorgestellt und erprobt. Zur ersten Validierung des neuen Verfahrens wurden Daten vonN = 91 Führungskräften undN = 259 Mitarbeitenden erfasst. Für die Gesamtskala und drei der vier Komponenten ergaben sich interne Konsistenzen im befriedigenden bis guten Bereich. Das DIAF‑S wies bedeutsame Zusammenhänge mit organisationalen Außenkriterien (durch Führungskraft eingeschätzte Arbeitsleistung der Mitarbeitenden, Voice-Verhalten und Moral Courage) auf. Zudem zeigte sich für einen Großteil der Komponenten die erwartete moderate Übereinstimmung zwischen selbst- und fremdeingeschätzter authentischer Führung. Mittels konfirmatorischer Faktorenanalysen ließ sich eine Verwendung der vierfaktoriellen Struktur analog zur Fremdbeurteilung rechtfertigen. Eine explorative Faktorenanalyse legte eher eine dreifaktorielle Struktur der selbsteingeschätzten authentischen Führung nahe. Vor diesem Hintergrund werden alternative Modelle authentischer Führung diskutiert. Insgesamt betrachtet stellt das DIAF‑S ein weitgehend reliables und valides Instrument für die Selbsteinschätzung authentischer Führung und damit eine wichtige Ergänzung zum DIAF‑F dar.