bluuebunny/crossref_metadata_2025_split huggingface dataset:
The chameleon in consumers: Development and validation of a scale to measure Consumers' Cognitive Flexibility
Authors: Benninger Nadine , Roosen Jutta 
Published: June 2024

AbstractThis paper introduces a new scale, the Consumers' Cognitive Flexibility Scale (CCF‐Scale). Consumers' Cognitive Flexibility (CCF) is conceptualized as the adaptation to changes in the environment and to product options by exhibiting flexible thoughts, feelings, and actions. This scale is a new measure of consumers' mental capabilities to understand and evaluate unknown products. Especially, really new products (RNPs) are highly innovative and different from well‐known products in the market. A flexible mindset can help integrate RNPs into existing knowledge structures. The CCF‐Scale was developed and tested with four prestudies and four representative studies with 1057, 696, 494 German, and 506 US consumers. The prestudies were used to ensure face and content validity and to select products for criterion validity. The findings demonstrate a reliable and valid scale in both countries consisting of 14 items with three CCF‐facets: Coping (with consumption problems), Perspective (change for product/information evaluation), and Alignment (to changes in the environment). Results show that the CCF‐facets help explain RNP‐acceptance across different categories (e.g., food, furniture, and digital services). One limitation is the article's focus on RNPs. Still, marketers can use these findings to adjust instructions on how to use RNPs and to communicate more effectively, for example by using analogies.
Understanding the application of evolutionary psychology in consumer behavior: A review and future research agenda
Authors: Taheran Faegheh , Thomas Veronica L. , Fowler Kendra , Mortazavi Abdolali 
Published: June 2024

AbstractThis paper is the first to offer a comprehensive literature review of the role of evolutionary psychology (EP) in marketing and consumer behavior. This study takes a holistic approach, combining techniques of a systematic review with bibliometric analysis, to provide a performance analysis and identify theories and methodologies used in the literature. Most importantly, by studying the current state of EP, we elucidate six major themes: the role of gender in families, the role of affect in consumer behavior, food preferences and shopping behavior, motivations for and consequences of status signaling, the impact of ovulation on consumer motives and behaviors, and contributions to the greater good. The findings enable researchers to understand the current state of the literature. Further, to advance the application of EP in consumer behavior, we identify gaps related to each theme and offer research questions that can serve as catalysts for future research. Thus, we offer two primary contributions: a comprehensive overview of the literature as it relates to methods, theories, and themes and detailed guidance that can be used to invigorate research on EP.
Improved Cell Adhesion on Self‐Assembled Chiral Nematic Cellulose Nanocrystal Films
Authors: Wang Xiaoxiao , Xu Haifeng , Ning Fanghui , Duan Shun , Hu Yang , Ding Xiaokang , Xu Fu‐Jian 
Published: June 2024

AbstractChirality is ubiquitous in nature, and closely related to biological phenomena. Nature‐originated nanomaterials such as cellulose nanocrystals (CNCs) are able to self‐assemble into hierarchical chiral nematic CNC films and impart handedness to nano and micro scale. However, the effects of the chiral nematic surfaces on cell adhesion are still unknown. Herein, this work presents evidence that the left‐handed self‐assembled chiral nematic CNC films (L‐CNC) significantly improve the adhesion of L929 fibroblasts compared to randomly arranged isotropic CNC films (I‐CNC). The fluidic force microscopy‐based single‐cell force spectroscopy is introduced to assess the cell adhesion forces on the substrates of L‐CNC and I‐CNC, respectively. With this method, a maximum adhesion force of 133.2 nN is quantified for mature L929 fibroblasts after culturing for 24 h on L‐CNC, whereas the L929 fibroblasts exert a maximum adhesion force of 78.4 nN on I‐CNC under the same condition. Moreover, the instant SCFS reveals that the integrin pathways are involved in sensing the chirality of substrate surfaces. Overall, this work offers a starting point for the regulation of cell adhesion via the self‐assembled nano and micro architecture of chiral nematic CNC films, with potential practical applications in tissue engineering and regenerative medicine.
AKAP95 regulates ubiquitination and degradation of cyclin Ds/Es, influencing the G1/S transition of lung cancer cells
Authors: Deng Zifeng , Dou Liangding , Luo Zhen , Liu Rong , Zhang Jinwen , Wang Jing , Wang Dai , Guo DongBei , An Ran , Yao Youliang , Qiu Guihua , Zhang Yongxing 
Published: June 2024

AbstractA‐kinase anchoring protein 95 (AKAP95) functions as a scaffold for protein kinase A. Prior work by our group has shown that AKAP95, in coordination with Connexin 43 (Cx43), modulates the expression of cyclin D and E proteins, thus affecting the cell cycle progression in lung cancer cells. In the current study, we confirmed that AKAP95 forms a complex with Cx43. Moreover, it associates with cyclins D1 and E1 during the G1 phase, leading to the formation of protein complexes that subsequently translocate to the nucleus. These findings indicate that AKAP95 might facilitate the nuclear transport of cyclins D1 and E1. Throughout this process, AKAP95 and Cx43 collectively regulate the expression of cyclin D, phosphorylate cyclin E1 proteins, and target their specific ubiquitin ligases, ultimately impacting cell cycle progression.
Investigation of Changes in the Polyphenol Profile Verified by LC‐MS/MS and the Pro‐Health Activities of Fruit Smoothie
Authors: Borowiec Kamila , Szwajgier Dominik , Stachniuk Anna , Mielniczuk Jacek , Trzpil Alicja 
Published: June 2024

ScopeBilberry, bananas, and apples are used for smoothie production because the health‐promoting activities and to prevent human diseases including neurodegenerative disorders. The smoothie is prepared to promote a promising practice for increasing the intake of fruit in the diet.Methods and resultsThe smoothie is packed into dark glass jars, pasteurized, and stored for up to 4 months at 4 or 22 °C. Then, it is analyzed for the polyphenols profile using liquid chromatography‐high resolution mass spectometry (LC‐HRMS) Polyphenols content and the antiinflammatory, anticholinesterase, and antioxidant activities, and the impact on catalase activity are controlled using biochemical analyses. A significant decrease in the flavanol content (p < 0.05) is investigated, while there are lower decreases or no changes in the other polyphenols content in the smoothies stored at 4 °C. The changes in the anticholinesterase and antioxidant activities of the smoothie are correlated with the total polyphenols, anthocyanins, flavonols, and tannins content.ConclusionThe proposed preservation of the smoothie and its storage at refrigeration temperature is adequate to maintain the smoothie's nutritional and functional effect for a 4‐month shelf life. Even significant changes in the content of individual subgroups of polyphenols are not drastically reflected in the decrease of the smoothie biological activities.
Identifying radiogenomic associations of breast cancer based on DCE‐MRI by using Siamese Neural Network with manufacturer bias normalization
Authors: Chen Junhua , Zeng Haiyan , Cheng Yanyan , Yang Banghua 
Published: June 2024

AbstractBackground and PurposeThe immunohistochemical test (IHC) for Human Epidermal Growth Factor Receptor 2 (HER2) and hormone receptors (HR) provides prognostic information and guides treatment for patients with invasive breast cancer. The objective of this paper is to establish a non‐invasive system for identifying HER2 and HR in breast cancer using dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI).MethodsIn light of the absence of high‐performance algorithms and external validation in previously published methods, this study utilizes 3D deep features and radiomics features to represent the information of the Region of Interest (ROI). A Siamese Neural Network was employed as the classifier, with 3D deep features and radiomics features serving as the network input. To neutralize manufacturer bias, a batch effect normalization method, ComBat, was introduced. To enhance the reliability of the study, two datasets, Predict Your Therapeutic Response with Imaging and moLecular Analysis (I‐SPY 1) and I‐SPY 2, were incorporated. I‐SPY 2 was utilized for model training and validation, while I‐SPY 1 was exclusively employed for external validation. Additionally, a breast tumor segmentation network was trained to improve radiomic feature extraction.ResultsThe results indicate that our approach achieved an average Area Under the Curve (AUC) of 0.632, with a Standard Error of the Mean (SEM) of 0.042 for HER2 prediction in the I‐SPY 2 dataset. For HR prediction, our method attained an AUC of 0.635 (SEM 0.041), surpassing other published methods in the AUC metric. Moreover, the proposed method yielded competitive results in other metrics. In external validation using the I‐SPY 1 dataset, our approach achieved an AUC of 0.567 (SEM 0.032) for HR prediction and 0.563 (SEM 0.033) for HER2 prediction.ConclusionThis study proposes a non‐invasive system for identifying HER2 and HR in breast cancer. Although the results do not conclusively demonstrate superiority in both tasks, they indicate that the proposed method achieved good performance and is a competitive classifier compared to other reference methods. Ablation studies demonstrate that both radiomics features and deep features for the Siamese Neural Network are beneficial for the model. The introduced manufacturer bias normalization method has been shown to enhance the method's performance. Furthermore, the external validation of the method enhances the reliability of this research. Source code, pre‐trained segmentation network, Radiomics and deep features, data for statistical analysis, and Supporting Information of this article are online at: https://github.com/FORRESTHUACHEN/Siamese_Neural_Network_based_Brest_cancer_Radiogenomic.
Reducing blood flow pulsation artifacts in 3D time‐of‐flight angiography by locally scrambling the order of the acquisition at 3 T and 7 T
Authors: Seginer Amir , Niry Dana , Furman‐Haran Edna , Kolb Hadar , Schmidt Rita 
Published: June 2024

AbstractPurposeNon‐contrast‐enhanced time of flight (TOF) is a standard method for magnetic resonance angiography used to depict vessel morphology. TOF is commonly performed with a 3D steady‐state acquisition, employing a short repetition time to support high resolution imaging. At 7 T, TOF exhibits substantial increase in SNR and contrast, improving its clinical value. However, one of the remaining challenges, exacerbated at 7 T, is the presence of artifacts due to pulsatile blood flow, especially near major blood vessels. In this study we examine a method to significantly reduce these artifacts.MethodsWe recently introduced a new “local‐scrambling” approach that semi‐randomizes the acquisition order of the phase encodes, to achieve a controllable cutoff frequency above which the artifacts are drastically reduced. With this approach, artifacts resulting from fast local fluctuations such as cardiac pulsation are significantly reduced. In this study, we explore the ability of this local‐scrambling approach to reduce pulsatile blood flow artifacts in a 3D TOF acquisition. Cartesian line‐by‐line and center‐out ordering, with and without local‐scrambling, were compared in simulations and in human brain imaging at 3 and 7 T scanners.ResultsIn the simulations the artifact intensity showed a 10‐fold reduction using local‐scrambling compared to line‐by‐line and 4‐fold compared to center‐out ordering. In vivo results show that artifacts are much more pronounced at 7 T compared to 3 T, and in both cases they are effectively reduced by local‐scrambling.ConclusionLocal‐scrambling improves image quality for both line‐by‐line and center‐out ordering. This approach can easily be implemented in the scanner without any changes to the reconstruction.
Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE
Authors: Zhao Yibo , Li Yudu , Guo Rong , Jin Wen , Sutton Brad , Ma Chao , El Fakhri Georges , Li Yao , Luo Jie , Liang Zhi‐Pei 
Published: June 2024

AbstractPurposeTo develop a practical method to enable 3D T1 mapping of brain metabolites.Theory and MethodsDue to the high dimensionality of the imaging problem underlying metabolite T1 mapping, measurement of metabolite T1 values has been currently limited to a single voxel or slice. This work achieved 3D metabolite T1 mapping by leveraging a recent ultrafast MRSI technique called SPICE (spectroscopic imaging by exploiting spatiospectral correlation). The Ernst‐angle FID MRSI data acquisition used in SPICE was extended to variable flip angles, with variable‐density sparse sampling for efficient encoding of metabolite T1 information. In data processing, a novel generalized series model was used to remove water and subcutaneous lipid signals; a low‐rank tensor model with prelearned subspaces was used to reconstruct the variable‐flip‐angle metabolite signals jointly from the noisy data.ResultsThe proposed method was evaluated using both phantom and healthy subject data. Phantom experimental results demonstrated that high‐quality 3D metabolite T1 maps could be obtained and used for correction of T1 saturation effects. In vivo experimental results showed metabolite T1 maps with a large spatial coverage of 240 × 240 × 72 mm3 and good reproducibility coefficients (< 11%) in a 14.5‐min scan. The metabolite T1 times obtained ranged from 0.99 to 1.44 s in gray matter and from 1.00 to 1.35 s in white matter.ConclusionWe successfully demonstrated the feasibility of 3D metabolite T1 mapping within a clinically acceptable scan time. The proposed method may prove useful for both T1 mapping of brain metabolites and correcting the T1‐weighting effects in quantitative metabolic imaging.
Effects of financial toxicity and socioeconomic status on MRI follow‐up time in multiple sclerosis
Authors: Agarwal Rishab , Risk Benjamin B. , Sandlin David S. , Mulamalla Anurag R. , Sadigh Gelareh , Allen Jason W. , Fleischer Candace C. 
Published: June 2024

AbstractBackground and PurposeMultiple sclerosis (MS) is associated with high risk for financial toxicity. Repeated magnetic resonance imaging (MRI) is standard of care but can present a financial burden for patients with MS. The purpose of this study was to identify relationships between financial factors and socioeconomic status (SES) on brain MRI follow‐up time for individuals with MS.MethodsBrain MRI scans performed during an 18‐month period were reviewed. Inclusion criteria were individuals ≥18 years old with confirmed MS diagnosis and repeated brain MRI. MRI follow‐up time (days) was calculated as the difference between subsequent scans. Demographic and clinical factors were obtained from electronic medical records. Financial factors were determined from hospital records. The area deprivation index (ADI) was used as a metric for SES. Group‐wise comparisons of MRI follow‐up time were performed as a function of demographic, clinical, and financial factors. Linear regression analyses were used to identify associations between MRI follow‐up time, financial liability, and ADI.ResultsThe final cohort included 92 individuals with MS and repeated brain MRI. MRI follow‐up times were significantly lower for individuals on Tysabri (p = .003), but no other group‐wise differences were observed. For individuals with non‐zero financial liability (n = 38), a significant positive association was observed between MRI follow‐up time and amount of financial liability for the initial scan (R = 0.486, p = .002), controlling for demographic and clinical factors.ConclusionsFinancial liability related to the cost of MRI was significantly associated with longer MRI follow‐up times in MS.
Disentangling gender and social difference for just and transformative biocultural approaches
Authors: Díaz‐Reviriego Isabel , Torralba Mario , Vizuete Beatriz , Ortiz‐Przychodzka Stefan , Pearson Jasmine , Heindorf Claudia , LLanque Zonta Aymara , Oteros‐Rozas Elisa 
Published: June 2024

Abstract

Advancing research and practice that recognize diverse worldviews, knowledge systems, and value orientations is essential to enable transformative change towards sustainability. Biocultural approaches recognize the diverse ways in which people relate to nature, offering a potential pathway for sustainability transformations. However, recent scholarship on biocultural approaches to sustainability has highlighted that social aspects such as equity and justice have not been substantively addressed, whereby gender issues have been overlooked to a great extent.

Through qualitative content analysis, this review synthesizes the conceptualizations of gender and social difference within the literature on biocultural approaches to sustainability published in English and Spanish.

The biocultural literature predominantly focuses on describing knowledge and management practices, neglecting power and gender relations that affect access and control over resources, and how different axes of social difference matter across different social‐ecological contexts. Overall, we found that gender considerations within the literature reviewed do not build upon feminist and gender theories.

Based on these findings, we provide insights into how more nuanced engagements, especially in relation to feminist theories and tools as intersectionality and decolonial perspectives, can allow for more just scholarly efforts to address biocultural relations.

Finally, we draw attention to responsible and engaged praxis towards promoting biocultural approaches that include the diverse perspectives of those who can contribute to transformative change, and which prevent the reinforcement of gender‐based power relations.

Read the free Plain Language Summary for this article on the Journal blog.
Effect of improved electric field distribution on jet motion, fiber morphology, and properties of electrospun thermoplastic polyurethane fibrous membrane
Authors: Li Xiang , Lou Liqin 
Published: June 2024

AbstractElectric field plays a pivotal role in electrospinning to produce the desired micro and nanofibers, hence, a tricipital‐needle spinneret was developed to improve electric field distribution and productivity in this work. The effects of electric field distribution induced by spinneret configuration on jet motion, fiber morphology, and properties of electrospun TPU fibrous membrane at different applied voltages were investigated by simulation and experiment. The simulation results show that the designed tricipital‐needle spinneret weakens the electric field near the needle tip and strengthens the electric field in the whipping region in comparison to the single‐needle spinneret, exhibiting a relatively uniform electric field distribution. The experimental results demonstrate that the fiber diameter prepared by the tricipital‐needle spinneret at the corresponding voltage is smaller than that of the single‐needle spinneret due to the improved electric field distribution. Moreover, the fibrous membrane prepared by the tricipital‐needle spinneret shows excellent tensile properties (7 MPa tensile stress and 401% breaking elongation), air permeability (85.32 mm s−1) and water vapor permeability (6.7 kg m−2 d−1). Therefore, the electrospinning system with the tricipital‐needle spinneret not only increases the fiber productivity, but also improves the electric field distribution and endows the fibrous membrane with better properties, which can widen the applications of electrospun TPU fibrous membrane and also provides a new approach for the performance design of other electrospun fibers.
Gnathodiaphyseal dysplasia: Diagnostic clues from two fetal cases and literature review
Authors: Cuvelier Vivien , Trost Detlef , Stichelbout Morgane , Michot Caroline , Cormier‐Daire Valérie , Boutry Nathalie , Machet Elise , Vincent‐Delorme Catherine 
Published: June 2024

AbstractThis article presents two fetal cases of gnathodiaphyseal dysplasia (GDD), a rare autosomal dominant disorder, and reviews the relevant literature. The cases involved two fetuses exhibiting bone bowing, which led to the diagnosis of GDD. Genetic testing revealed two de novo variants of the ANO5 gene, confirming the diagnosis. A literature review was conducted to explore GDD's clinical and paraclinical presentation, diagnosis, and management. GDD is a rare but frequently inherited cause of bone fragility and jaw lesions characterized by a gain‐of‐function variant within the ANO5 gene. Clinical manifestations range from recurrent dental infections with mild jaw lesions to severe bone fragility with several fractures associated with large jaw lesions requiring disfiguring surgeries. Diagnostic techniques depend on the context and include targeted genetic testing of ANO5, untargeted molecular analysis with whole‐exome sequencing, or whole‐genome sequencing. This case report highlights the importance of recognizing GDD as a novel cause of bone bowing and fractures during pregnancy. By summarizing the literature, this article contributes to healthcare professionals' knowledge and improves the recognition, diagnosis, and care of patients with GDD.
Interlaminar tensile properties of raw and carbon fiber‐wrapped additively manufactured polyetherimide
Authors: Sankaran Vigneshwaran , Rajan A. John , Selvaraj Senthil Kumaran , Jose Swaminathan , Wilson Vincent H. , Singh K. Arjun , Sahayaraj A. Felix , Patterson Albert E. 
Published: June 2024

AbstractHigh‐performance engineering thermoplastics are important emerging materials, particularly when processed using additive manufacturing technologies. One of the most important among these is polyetherimide, also known as PEI or ULTEM. Using the fused filament fabrication (FFF) additive manufacturing (AM) process to form this material is a good option, but it is difficult to control the properties in some cases due to the very high processing temperature compared with most engineering thermoplastics. One way to “even‐out” the properties is to wrap the specimens in continuous glass or carbon fibers embedded in a thermosetting matrix, as this allows strategic placement and orientation of reinforcement. This also complements the natural structure of the FFF‐manufactured materials, helping to minimize the amount of additional weight that needs to be added to a part. To further knowledge in this area, the present study explored and compared the interlaminar tensile strength of FFF‐processed PEI/ULTEM 9085 specimens and compared them with ones wrapped in carbon fibers with a 2‐part resin matrix. Experiments were performed in accordance with the guidelines given in the ASTM D6415 standard and replicated five times. Variations were introduced in thickness of the specimen and raster angle during the manufacturing process to identify the significant impact of the failure. The results show a fall in interlaminar tensile strength with increasing specimen thickness and a very large effect from natural printing defects in the samples. The carbon fiber wrap decreased the ILTS but made the results far more consistent between experimental runs. This study provides a good, replicated dataset on the performance of raw and fiber‐wrapped FFF‐processed ULTEM 9085 and gives insights into the structural behavior of the material that will be useful for use in design decisions and material selection.Highlights
Polyetherimide, also known as PEI/ULTEM, is a high‐performance engineering thermoplastic.
Explored the interlaminar tensile properties (ILTS) of this material using ASTM D6415.
Raster angle, thickness, and use of fiber wrap were experimental parameters.
Fiber wrap was found to have little effect on strength but made results more consistent.
Results are useful for material selection and design decisions using PEI.