bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cognitive, emotional and inferential paths from price perception to buying intention in an integrated brand price image model
Authors: Zielke Stephan , De Toni Deonir , Mazzon José Afonso 
Published: December 2022

AbstractA brand price image consists of associations related to the price positioning of a brand’s product portfolio and has a filter function for price search and brand consideration. The branding literature usually analyzes brand images in general and a few studies have discussed variables related to dimensions of a brand price image. This paper aims to extend this fragmented literature by proposing an integrated framework that links cognitive, emotional and inferential dimensions of a brand price image with each other and with the buying intention. With this framework, we analyze how brand price-level perception influences the buying intention through different positive and negative paths and whether the strength of these paths differs between price tiers. We test our framework based on data from 581 young middle-class Brazilian respondents using structural equation modeling. Results reveal a negative net effect of a perceived low price level on the buying intention. Regarding intra-tier positioning, a more expensive price-level perception increases the buying intention in low price tiers, while a less expensive price-level perception has a positive effect in high-price tiers. We explain these effects by stronger price–quality inferences in low-price tiers and discuss implications for theory and practice.
How I Manage Transplant Ineligible Patients with Myelodysplastic Neoplasms
Authors: Gurnari Carmelo , Xie Zhuoer , Zeidan Amer M. 
Published: December 2022

AbstractMyelodysplastic neoplasms, formerly known as myelodysplastic syndromes (MDS), represent a group of clonal disorders characterized by a high degree of clinical and molecular heterogeneity, and an invariable tendency to progress to acute myeloid leukemia. MDS typically present in the elderly with cytopenias of different degrees and bone marrow dysplasia, the hallmarks of the disease. Allogeneic hematopoietic stem cell transplant is the sole curative approach to date. Nonetheless, given the disease’s demographics, only a minority of patients can benefit from this procedure. Currently used prognostic schemes such as the Revised International Prognostic Scoring System (R-IPSS), and most recently the molecular IPSS (IPSS-M), guide clinical management by dividing MDS into two big categories: lower- and higher-risk cases, based on a cut-off score of 3.5. The main clinical problem of the lower-risk group is represented by the management of cytopenias, whereas the prevention of secondary leukemia progression is the goal for the latter. Herein, we discuss the non-transplant treatment of MDS, focusing on current practice and available therapeutic options, while also presenting new investigational agents potentially entering the MDS therapeutic arsenal in the near future.
RADIOCARBON DATING OF MORTAR CHARCOALS FROM MEDIEVAL RÝZMBURK CASTLE, NORTHWESTERN BOHEMIA
Authors: Pachnerová Brabcová Kateřina , Kundrát Pavel , Krofta Tomáš , Suchý Václav , Petrová Markéta , Pravdíková Nikola , John David , Kozlovcec Petr , Kotková Kristýna , Fialová Anna , Válek Jan , Svetlik Ivo , Povinec Pavel P 
Published: December 2022

ABSTRACTRýzmburk Castle is one of the largest and most important medieval castles in Bohemia, documented since 1250 AD. Its North tower is assumed to be built in 1260–1300 AD. To test this assumption, the surface layers of mortar were inspected for the presence of charcoals suitable for radiocarbon dating, and 10 charcoals were found. The charcoals probably originated from wood used for lime burning. The results of radiocarbon dating using accelerator mass spectrometry agree with the historical estimation. Single post-1287 sample indicates that the building date might be refined to 1287–1300 AD.
Racial Resentment and the Death Penalty
Authors: Baumgartner Frank R. , Caron Christian , Duxbury Scott 
Published: December 2022

AbstractWe explore the annual number of death sentences imposed on black and white offenders within each US state from 1989 through 2017, with particular attention to the impact of aggregate levels of racial resentment. Controlling for general ideological conservatism, homicides, population size, violent crime, institutional and partisan factors, and the inertial nature of death sentencing behavior, we find that racial hostility translates directly into more death sentences, particularly for black offenders. Racial resentment itself reflects each state’s history of racial strife; we show powerful indirect effects of a history of lynching and of racial population shares. These effects are mediated through contemporaneous levels of racial resentment. Our findings raise serious questions about the appropriateness of the ultimate punishment, as they show its deep historical and contemporary connection to white racial hostility toward blacks.
Association between dietary patterns and subjective and objective measures of physical activity among Japanese adults aged 85 years and older: a cross-sectional study
Authors: Yu Tao , Oguma Yuko , Asakura Keiko , Abe Yukiko , Arai Yasumichi 
Published: December 2022

AbstractA healthy diet and regular physical activity (PA) are delineated as healthy behaviours. Their implementation is associated with better health outcomes and improved quality of life. There is less evidence of a relationship between dietary patterns (DP) and PA, especially in adults aged ≥ 85. Hence, this cross-sectional study investigates the association between DP and PA in people of this age group, using the data from The Kawasaki Aging and Well-Being Project. Brief-type self-administered diet history questionnaire was used to estimate the intake of fifty-eight types of food. After energy adjustment, principal component analysis was performed to identify DP. PA was measured objectively using an accelerometer and subjectively using a questionnaire validated for this age group. Thousand participants (median age: 86·9 years, men: 49·9 %) were included in the analysis. Three major DP (DP1 ‘various foods’, DP2 ‘red meats and coffee’, DP3 ‘bread and processed meats’) were identified. DP1 ‘various foods’ was similar to DP previously named ‘healthy’ or ‘prudent’ and showed a positive association with PA time (PAT) as measured by accelerometer (B, 6·25; 95 % CI 0·13, 12·37) and relatively shorter sedentary behaviour (SB) time. DP2 ‘red meats and coffee’ and DP3 ‘bread and processed meats’ were negatively associated with PAT and positively associated with SB time. This study observed the relationship between diet and PA behaviours in adults aged ≥ 85, with healthier and more food-diverse DP associated with longer PAT and relatively unhealthy DP with shorter PAT.
Asymptotics of a time bounded cylinder model
Authors: Aschenbruck Nils , Bussmann Stephan , Döring Hanna 
Published: December 2022

AbstractOne way to model telecommunication networks are static Boolean models. However, dynamics such as node mobility have a significant impact on the performance evaluation of such networks. Consider a Boolean model in $\mathbb {R}^d$ and a random direction movement scheme. Given a fixed time horizon $T>0$, we model these movements via cylinders in $\mathbb {R}^d \times [0,T]$. In this work, we derive central limit theorems for functionals of the union of these cylinders. The volume and the number of isolated cylinders and the Euler characteristic of the random set are considered and give an answer to the achievable throughput, the availability of nodes, and the topological structure of the network.
Valuation of vulnerable European options with market liquidity risk
Authors: Pan Yihao , Tang Dan , Wang Xingchun 
Published: December 2022

AbstractIn this paper, we investigate the pricing of vulnerable European options in a market where the underlying stocks are not perfectly liquid. A liquidity discount factor is used to model the effect of liquidity risk in the market, and the default risk of the option issuer is incorporated into the model using a reduced-form model, where the default intensity process is correlated with the liquidity risk. We obtain a semiclosed-form pricing formula of vulnerable options through the inverse Fourier transform. Finally, we illustrate the effects of default risk and liquidity risk on option prices numerically.
BANACH SPACES IN WHICH LARGE SUBSETS OF SPHERES CONCENTRATE
Authors: Koszmider Piotr 
Published: December 2022

AbstractWe construct a nonseparable Banach space
$\mathcal {X}$
(actually, of density continuum) such that any uncountable subset
$\mathcal {Y}$
of the unit sphere of
$\mathcal {X}$
contains uncountably many points distant by less than
$1$
(in fact, by less then
$1-\varepsilon $
for some
$\varepsilon>0$
). This solves in the negative the central problem of the search for a nonseparable version of Kottman’s theorem which so far has produced many deep positive results for special classes of Banach spaces and has related the global properties of the spaces to the distances between points of uncountable subsets of the unit sphere. The property of our space is strong enough to imply that it contains neither an uncountable Auerbach system nor an uncountable equilateral set. The space is a strictly convex renorming of the Johnson–Lindenstrauss space induced by an
$\mathbb {R}$
-embeddable almost disjoint family of subsets of
$\mathbb {N}$
. We also show that this special feature of the almost disjoint family is essential to obtain the above properties.
DeepLandforms: A Deep Learning Computer Vision Toolset Applied to a Prime Use Case for Mapping Planetary Skylights
Authors: Nodjoumi Giacomo , Pozzobon Riccardo , Sauro Francesco , Rossi Angelo Pio 
Published: December 2022

AbstractThematic map creation is a meticulous process that requires several steps to be accomplished regardless of the type of map to be produced, from data collection, through data exploitation and map publication in print, image, and GIS format. Examples are geolithological, and geomorphological maps in which most of the highest time‐consuming tasks are those related to the discretization of single objects. Introducing also interpretative biases because of the different experience of the mappers in identifying a set of unique characteristics that describe those objects. In this setting, Deep Learning Computer Vision techniques could play a key role but lack the availability of a complete set of tools specific for planetary mapping. The aim of this work is to develop a comprehensive set of ready‐to‐use tools for landforms mapping based on validated Deep Learning methodologies and open‐source libraries. We present DeepLandforms, the first pre‐release of a toolset for landform mapping using Deep Learning that includes all the components for data set preparation, model training, monitoring, and inference. In DeepLandforms, users have full access to the workflow and control over all the processes involved, granting complete control and customization capabilities. In order to validate the applicability of our tool, in this work we present the results achieved using DeepLandforms in the science case of mapping sinkhole‐like landforms on Mars, as a first example that can lead us into multiple and diverse future applications.
A critical role of brain network architecture in a continuum model of autism spectrum disorders spanning from healthy individuals with genetic liability to individuals with ASD
Authors: Khundrakpam Budhachandra , Bhutani Neha , Vainik Uku , Gong Jinnan , Al-Sharif Noor , Dagher Alain , White Tonya , Evans Alan C. 
Published: December 2022

AbstractStudies have shown cortical alterations in individuals with autism spectrum disorders (ASD) as well as in individuals with high polygenic risk for ASD. An important addition to the study of altered cortical anatomy is the investigation of the underlying brain network architecture that may reveal brain-wide mechanisms in ASD and in polygenic risk for ASD. Such an approach has been proven useful in other psychiatric disorders by revealing that brain network architecture shapes (to an extent) the disorder-related cortical alterations. This study uses data from a clinical dataset—560 male subjects (266 individuals with ASD and 294 healthy individuals, CTL, mean age at 17.2 years) from the Autism Brain Imaging Data Exchange database, and data of 391 healthy individuals (207 males, mean age at 12.1 years) from the Pediatric Imaging, Neurocognition and Genetics database. ASD-related cortical alterations (group difference, ASD-CTL, in cortical thickness) and cortical correlates of polygenic risk for ASD were assessed, and then statistically compared with structural connectome-based network measures (such as hubs) using spin permutation tests. Next, we investigated whether polygenic risk for ASD could be predicted by network architecture by building machine-learning based prediction models, and whether the top predictors of the model were identified as disease epicenters of ASD. We observed that ASD-related cortical alterations as well as cortical correlates of polygenic risk for ASD implicated cortical hubs more strongly than non-hub regions. We also observed that age progression of ASD-related cortical alterations and cortical correlates of polygenic risk for ASD implicated cortical hubs more strongly than non-hub regions. Further investigation revealed that structural connectomes predicted polygenic risk for ASD (r = 0.30,p < 0.0001), and two brain regions (the left inferior parietal and left suparmarginal) with top predictive connections were identified as disease epicenters of ASD. Our study highlights a critical role of network architecture in a continuum model of ASD spanning from healthy individuals with genetic risk to individuals with ASD. Our study also highlights the strength of investigating polygenic risk scores in addition to multi-modal neuroimaging measures to better understand the interplay between genetic risk and brain alterations associated with ASD.
Integrated approach for studying bioactive compounds from Cladosporium spp. against estrogen receptor alpha as breast cancer drug target
Authors: Anandan Satish , Gowtham Hittanahallikoppal Gajendramurthy , Shivakumara C. S. , Thampy Anjana , Singh Sudarshana Brijesh , Murali Mahadevamurthy , Shivamallu Chandan , Pradeep Sushma , Shilpa Natarajamurthy , Shati Ali A. , Alfaifi Mohammad Y. , Elbehairi Serag Eldin I. , Ortega-Castro Joaquín , Frau Juan , Flores-Holguín Norma , Kollur Shiva Prasad , Glossman-Mitnik Daniel 
Published: December 2022

AbstractCladosporium spp. have been reported for their great diversity of secondary metabolites which represent as a prominent base material for verifying the biological activities. Several bioactive compounds which have antimicrobial, cytotoxic, quorum sensing inhibitory and phytotoxic activities have been isolated from Cladosporium species. Most of them are still needed to be explored for their anticancer properties. Therefore, the present study is focused on screening and identifying the bioactive compounds of Cladosporium spp. for their anticancer activity via the integrated approaches of Molecular Docking (MD), Molecular Dynamics Simulation (MDS) and Density Functional Theory (DFT) studies. A total of 123 bioactive compounds of Cladosporium spp. were explored for their binding affinity with the selected breast cancer drug target receptor such as estrogen receptor alpha (PDB:6CBZ). The Molecular Docking studies revealed that amongst the bioactive compounds screened, Altertoxin X and Cladosporol H showed a good binding affinity of − 10.5 kcal/mol and − 10.3 kcal/mol, respectively, with the estrogen receptor alpha when compared to the reference compound (17$$\upbeta$$
β
-Estradiol: − 10.2 kcal/mol). The MDS study indicated the stable binding patterns and conformation of the estrogen receptor alpha-Altertoxin X complex in a stimulating environment. In addition, in silico absorption, distribution, metabolism, excretion and toxicity (ADMET) study suggested that Altertoxin X has a good oral bioavailability with a high LD$$_{50}$$

50

value of 2.375 mol/kg and did not cause any hepatotoxicity and skin sensitization. In summary, the integrated approaches revealed that Altertoxin X possesses a promising anticancer activity and could serve as a new therapeutic drug for breast cancer treatment.
Comprehensive analysis of the metabolic and genomic features of tannin-transforming Lactiplantibacillus plantarum strains
Authors: Pulido-Mateos Elena C. , Lessard-Lord Jacob , Guyonnet Denis , Desjardins Yves , Roy Denis 
Published: December 2022

AbstractExtracellular tannase Lactiplantibacillus plantarum-producing strains (TanA+) release bioactive metabolites from dietary tannins. However, there is a paucity of knowledge of TanA+ strains and their hydrolyzing capacities. This study aimed to shed light on the metabolic and genomic features of TanA+ L. plantarum strains and to develop a screening technique. The established spectrophotometric was validated by UPLC-UV-QToF. Eight of 115 screened strains harbored the tanA gene, and six presented TanA activity (PROBI S126, PROBI S204, RKG 1-473, RKG 1-500, RKG 2-219, and RKG 2-690). When cultured with tannic acid (a gallotannin), TanA+ strains released 3.2−11 times more gallic acid than a lacking strain (WCFS1) (p < 0.05). TanA+ strains with gallate decarboxylase (n = 5) transformed this latter metabolite, producing 2.2–4.8 times more pyrogallol than the TanA lacking strain (p < 0.05). However, TanA+ strains could not transform punicalagin (an ellagitannin). Genomic analysis revealed high similarity between TanA+ strains, as only two variable regions of phage and polysaccharide synthesis were distinguished. A phylogenetic analysis of 149 additional genome sequences showed that tanA harboring strains form a cluster and present two bacteriocin coding sequences profile. In conclusion, TanA+ L. plantarum strains are closely related and possess the ability to resist and transform gallotannins. TanA can be screened by the method proposed herein.
FLIP-based autophagy-detecting technique reveals closed autophagic compartments
Authors: Sakurai Hajime Tajima , Arakawa Satoko , Noguchi Saori , Shimizu Shigeomi 
Published: December 2022

AbstractAutophagy results in the degradation of cytosolic components via two major membrane deformations. First, the isolation membrane sequesters components from the cytosol and forms autophagosomes, by which open structures become closed compartments. Second, the outer membrane of the autophagosomes fuses with lysosomes to degrade the inner membrane and its contents. The efficiency of the latter degradation process, namely autophagic flux, can be easily evaluated using lysosomal inhibitors, whereas the dynamics of the former process is difficult to analyze because of the challenges in identifying closed compartments of autophagy (autophagosomes and autolysosomes). To resolve this problem, we here developed a method to detect closed autophagic compartments by applying the FLIP technique, and named it FLIP-based Autophagy Detection (FLAD). This technique visualizes closed autophagic compartments and enables differentiation of open autophagic structures and closed autophagic compartments in live cells. In addition, FLAD analysis detects not only starvation-induced canonical autophagy but also genotoxic stress-induced alternative autophagy. By the combinational use of FLAD and LC3, we were able to distinguish the structures of canonical autophagy from those of alternative autophagy in a single cell.
Similar programmed death ligand 1 (PD-L1) expression profile in patients with mild COPD and lung cancer
Authors: Polverino F. , Mirra D. , Yang C. X. , Esposito R. , Spaziano G. , Rojas-Quintero J. , Sgambato M. , Piegari E. , Cozzolino A. , Cione E. , Gallelli L. , Capuozzo A. , Santoriello C. , Berrino L. , de- Torres J. P. , Hackett T. L. , Polverino M. , D’Agostino B. 
Published: December 2022

AbstractProgrammed Death Ligand 1 (PD-L1) is crucial in regulating the immunological tolerance in non-small cell lung cancer (NSCLC). Alveolar macrophage (AM)-derived PD-L1 binds to its receptor, PD-1, on surveilling lymphocytes, leading to lymphocyte exhaustion. Increased PD-L1 expression is associated with cigarette smoke (CS)-exposure. However, the PD-L1 role in CS-associated lung diseases associated with NSCLC, such as chronic obstructive pulmonary disease (COPD), is still unclear. In two different cohorts of ever smokers with COPD or NSCLC, and ever and never smoker controls, we evaluated PD-L1 expression: (1) via cutting-edge digital spatial proteomic and transcriptomic profiling (Geomx) of formalin-fixed paraffin-embedded (FFPE) lung tissue sections (n = 19); and (2) via triple immunofluorescence staining of bronchoalveolar lavage (BAL) AMs (n = 83). PD-L1 mRNA expression was also quantified in BAL AMs exposed to CS extract. PD-L1 expression was increased in the bronchiolar wall, parenchyma, and vascular wall from mild-moderate (GOLD 1–2) COPD patients compared to severe-very severe (GOLD 3–4) COPD patients and controls. Within all the COPD patients, PD-L1 protein expression was associated with upregulation of genes involved in tumor progression and downregulation of oncosuppressive genes, and strongly directly correlated with the FEV1% predicted, indicating higher PD-L1 expression in the milder vs. more severe COPD stages. In bronchioles, PD-L1 levels were strongly directly correlated with the number of functionally active AMs. In BAL, we confirmed that AMs from patients with both GOLD 1–2 COPD and NSCLC had the highest and similar, PD-L1 expression levels versus all the other groups, independently from active cigarette smoking. Intriguingly, AMs from patients with more severe COPD had reduced AM PD-L1 expression compared to patients with mild COPD. Acute CS extract stimulation increased PD-L1 mRNA expression only in never-and not in ever-smoker AMs. Lungs from patients with mild COPD and NSCLC are characterized by a similar strong PD-L1 expression signature in bronchioles and functionally active AMs compared to patients with severe COPD and controls. Active smoking does not affect PD-L1 levels. These observations represent a new resource in understanding the innate immune mechanisms underlying the link between COPD and lung cancer onset and progression and pave the way to future studies focused on the mechanisms by which CS promotes tumorigenesis and COPD.
Evaluation of product conceptual design based on Pythagorean fuzzy set under big data environment
Authors: Ma Lian-Dan , Wang Wei-Xing , Xie Jing-Wen , Zhang Ning , Hu Ning-Feng , Wang Zi-Ao 
Published: December 2022

AbstractThe concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual design solution decision model based on Pythagorean fuzzy sets in a big data environment is proposed. Firstly, we use the ability of big data to mine and analyze information to construct a new standard for product concept design evaluation in the big data environment. Secondly, the Pythagorean fuzzy set (PFS), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are integrated into a decision model. AHP, extended by the Pythagorean fuzzy set, is used to determine the weights of new conceptual design criteria in a big data environment. The Pythagorean fuzzy TOPSIS is used to prioritize alternative conceptual design solutions. The feasibility of the approach is proven with a practical case, the generalizability of the method is confirmed with two descriptive digital cases, and the reliability, validity, and superiority of the process are demonstrated with sensitivity analysis, comparative analysis, and computational complexity analysis.