bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consumer engagement, stress, and conservation of resources theory: A review, conceptual development, and future research agenda
Authors: Hollebeek Linda D. , Hammedi Wafa , Sprott David E. 
Published: March 2023

AbstractWhile scholarly acumen of consumer engagement, defined as a consumer's resource investment in his/her brand interactions, is burgeoning, its theoretical interface with consumer stress remains tenuous, exposing an important literature‐based gap. Specifically, consumers' engagement with brands, or brand‐related elements (e.g., online brand communities, frontline staff, service robots, social media pages, etc.), may either induce, or ensue from, individuals' consumption‐related stress (e.g., through perceived resource depletion, brand‐related performance anxiety, choice overload, pandemics, climate change, supply shortages, etc.). Addressing this gap, we develop a conservation of resources theory‐informed framework of the consumer engagement/stress interface that identifies consumer engagement as either (i) a consumer stressor (e.g., by placing demands on consumers, including in self‐service or coproduction tasks), or (ii) a stress‐reducing coping mechanism (e.g., by facilitating the development of brand‐related learning, skills, or resilience). We, then, introduce the articles contained in this section, which are also linked to the proposed framework. We conclude by outlining avenues for further research in the integrative area of consumer engagement/stress.
Disembedded consumption increases perceived justice
Authors: Li Lulu , Qian Yue , Sun Yixia 
Published: March 2023

AbstractThe traditional theorizing of social justice analyzed people's perceived justice in a bounded society or institution. This conceptualization, however, has limitations in interpreting justice in a boundaryless society with high mobility of people and commodities, which is the reality of contemporary lives. We, therefore, introduce a new concept, “disembedded consumption” (i.e., one's consumption is not constrained by its grounding in the local context of a restricted time and space), to reinterpret social justice. Across five studies, we demonstrate that either human mobility or product mobility can predict disembedded consumption which increases people's perceived justice through heightened resource accessibility. Moreover, we provide further evidence that human mobility and product mobility can be compensated with each other to have a positive effect on disembedded consumption and consequently on perceived justice. The current research for the first time introduces “disembedded consumption” as a consequence of human mobility and product mobility and contributes to the literature on social justice.
Vertebral Chemistry Distinguishes Nursery Habitats of Juvenile Shortfin Mako in the Eastern North Pacific Ocean
Authors: LaFreniere Benjamin R. , Sosa-Nishizaki Oscar , Herzka Sharon Z. , Snodgrass Owyn , Dewar Heidi , Miller Nathan , Wells R.J. David , Mohan John A. 
Published: March 2023

Abstract
Shortfin Mako Isurus oxyrinchus are ecologically and economically important apex predators throughout the global oceans. The eastern North Pacific Ocean contains several coastal nurseries for this species, where juveniles can forage and grow until venturing into offshore pelagic habitats, where seasonal migration and reproduction occurs. Opportunistically sampled vertebrae from both male and female juvenile Shortfin Mako (65.5–134.4 cm total length, neonate to age 2) were sourced from two distinct nurseries in the eastern North Pacific: the Southern California Bight (n = 12), USA, and Bahía Sebastián Vizcaíno (n = 11), Mexico. Mineralized vertebral cartilage was analyzed to determine concentrations of selected elements (Li, Mg, Mn, Zn, Sr, Ba, standardized to Ca) using laser ablation inductively coupled plasma mass spectrometry, targeting growth bands at specific life stages, including postparturition at the birth band and the recent life history of the individual at the vertebral edge. The elemental variation exhibited by these individuals over ~1 month of life before capture was explored by comparing recent vertebral concentrations, with Zn:Ca, Sr:Ca, and Ba:Ca concentrations significantly different between nurseries (Southern California Bight versus Bahía Sebastián Vizcaíno). Element variability through ontogeny was detected, as Li:Ca, Mg:Ca, and Zn:Ca concentrations were significantly different between individual past and recent vertebral bands. These findings suggest that vertebral chemistry approaches may enhance understanding of nursery habitat sources of migratory sharks.
Variant curation and interpretation in hereditary cancer genes: An institutional experience in Latin America
Authors: Manotas María Carolina , Rivera Ana Lucia , Sanabria‐Salas María Carolina 
Published: March 2023

AbstractBackgroundVariant curation refers to the application of evidence‐based methods for the interpretation of genetic variants. Significant variability in this process among laboratories affects clinical practice. For admixed Hispanic/Latino populations, underrepresented in genomic databases, the interpretation of genetic variants for cancer risk is challenging.MethodsWe retrospectively evaluated 601 sequence variants detected in patients participating in the largest Institutional Hereditary Cancer Program in Colombia. VarSome and PathoMAN were used for automated curation, and ACMG/AMP and Sherloc criteria were applied for manual curation.ResultsRegarding the automated curation, 11% of the variants (64/601) were reclassified, 59% (354/601) had no changes in its interpretation, and the other 30% (183/601) presented conflicting interpretations. With respect to manual curation, of the 183 variants with conflicting interpretations, 17% (N = 31) were reclassified, 66% (N = 120) had no changes in their initial interpretation, and 17% (N = 32) remained with conflicting interpretation status. Overall, 91% of the VUS were downgraded and 9% were upgraded.ConclusionsMost VUS were reclassified as benign/likely benign. Since false‐positive and ‐negative results can be obtained with automated tools, manual curation should also be used as a complement. Our results contribute to improving cancer risk assessment and management for a broad range of hereditary cancer syndromes in Hispanic/Latino populations.
Fatty acids in cancer: Metabolic functions and potential treatment
Authors: Du Ao , Wang Zhen , Huang Tengda , Xue Shuai , Jiang Chuang , Qiu Guoteng , Yuan Kefei 
Published: March 2023

AbstractLipid metabolic reprogramming is one of the important metabolic characteristics of cancer cells. As major components of lipids, fatty acids provide energy and material basis for cancer cell survival. Abnormal fatty acid metabolism has been found in many cancers. Fatty acid uptake, transport, and synthesis are closely related to the pathogenesis of cancer. Meanwhile, fatty acid changes in the membrane structure of cancer cells and signal transduction mediated by signaling lipids are also helping cancer cells survive in the changing microenvironment. Some of these enzymes and metabolites involved in fatty acid metabolism are emerging as unique cancer biomarkers. Multiple studies have shown that disordered fatty acids can regulate tumor cell proliferation, metastasis, and drug resistance. Therefore, targeting fatty acid metabolism has become a promising treatment strategy. Here, we mainly present metabolic alterations of fatty acids, the basic components of lipids, in cancer. We discuss the cancer treatment based on fatty acid and fatty acid metabolism. These may provide a basis for a better understanding of lipid metabolic reprogramming in cancer, and also provide new ideas for cancer biomarker search, drug development, and combination therapy.
Mutually communicated model based on multi‐parametric MRI for automated segmentation and classification of prostate cancer
Authors: Liu Kewen , Li Piqiang , Otikovs Martins , Ning Xinzhou , Xia Liyang , Wang Xiangyu , Yang Lian , Pan Feng , Zhang Zhi , Wu Guangyao , Xie Han , Bao Qingjia , Zhou Xin , Liu Chaoyang 
Published: March 2023

AbstractBackgroundMultiparametric magnetic resonance imaging (mp‐MRI) is introduced and established as a noninvasive alternative for prostate cancer (PCa) detection and characterization.PurposeTo develop and evaluate a mutually communicated deep learning segmentation and classification network (MC‐DSCN) based on mp‐MRI for prostate segmentation and PCa diagnosis.MethodsThe proposed MC‐DSCN can transfer mutual information between segmentation and classification components and facilitate each other in a bootstrapping way. For classification task, the MC‐DSCN can transfer the masks produced by the coarse segmentation component to the classification component to exclude irrelevant regions and facilitate classification. For segmentation task, this model can transfer the high‐quality localization information learned by the classification component to the fine segmentation component to mitigate the impact of inaccurate localization on segmentation results. Consecutive MRI exams of patients were retrospectively collected from two medical centers (referred to as center A and B). Two experienced radiologists segmented the prostate regions, and the ground truth of the classification refers to the prostate biopsy results. MC‐DSCN was designed, trained, and validated using different combinations of distinct MRI sequences as input (e.g., T2‐weighted and apparent diffusion coefficient) and the effect of different architectures on the network's performance was tested and discussed. Data from center A were used for training, validation, and internal testing, while another center's data were used for external testing. The statistical analysis is performed to evaluate the performance of the MC‐DSCN. The DeLong test and paired t‐test were used to assess the performance of classification and segmentation, respectively.ResultsIn total, 134 patients were included. The proposed MC‐DSCN outperforms the networks that were designed solely for segmentation or classification. Regarding the segmentation task, the classification localization information helped to improve the IOU in center A: from 84.5% to 87.8% (p < 0.01) and in center B: from 83.8% to 87.1% (p < 0.01), while the area under curve (AUC) of PCa classification was improved in center A: from 0.946 to 0.991 (p < 0.02) and in center B: from 0.926 to 0.955 (p < 0.01) as a result of the additional information provided by the prostate segmentation.ConclusionThe proposed architecture could effectively transfer mutual information between segmentation and classification components and facilitate each other in a bootstrapping way, thus outperforming the networks designed to perform only one task.
Low Salinity Water–Polymer Flooding in Carbonate Oil Reservoirs: A Critical Review
Authors: Nascimento Fabio Pedro , Pereira Verônica de Jesus , Bastos Ladislane dos Santos , Costa Gloria Meyberg Nunes , Vieira de Melo Silvio Alexandre Beisl 
Published: March 2023

AbstractLow salinity water–polymer flooding (LSWPF) is an emerging hybrid enhanced oil recovery (EOR) method that uses the synergetic effects of low salinity water (LSW) and polymers to enhance both the microscopic and macroscopic sweep efficiencies. Polymer flooding is an EOR method that aims to increase water viscosity and improve the mobility ratio of the injected fluid to the reservoir. It enhances mobility control and reduces water relative permeability, reaching a more favorable condition for sweep efficiency. LSW is an EOR method that aims to change wettability by exploiting crude oil and reservoir rock interactions. It allows for improving oil recovery when the injected water has a very low salinity compared to seawater or formation water. The literature reports LSWPF studies applied to sandstone reservoirs. However, LSWPF applications in carbonate reservoirs still lack. This review critically analyzes LSWPF as an alternative to Polymer flooding using seawater in carbonate reservoirs.
Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies
Authors: Kaandorp Misha P. T. , Zijlstra Frank , Federau Christian , While Peter T. 
Published: March 2023

PurposeThe development of advanced estimators for intravoxel incoherent motion (IVIM) modeling is often motivated by a desire to produce smoother parameter maps than least squares (LSQ). Deep neural networks show promise to this end, yet performance may be conditional on a myriad of choices regarding the learning strategy. In this work, we have explored potential impacts of key training features in unsupervised and supervised learning for IVIM model fitting.MethodsTwo synthetic data sets and one in‐vivo data set from glioma patients were used in training of unsupervised and supervised networks for assessing generalizability. Network stability for different learning rates and network sizes was assessed in terms of loss convergence. Accuracy, precision, and bias were assessed by comparing estimations against ground truth after using different training data (synthetic and in vivo).ResultsA high learning rate, small network size, and early stopping resulted in sub‐optimal solutions and correlations in fitted IVIM parameters. Extending training beyond early stopping resolved these correlations and reduced parameter error. However, extensive training resulted in increased noise sensitivity, where unsupervised estimates displayed variability similar to LSQ. In contrast, supervised estimates demonstrated improved precision but were strongly biased toward the mean of the training distribution, resulting in relatively smooth, yet possibly deceptive parameter maps. Extensive training also reduced the impact of individual hyperparameters.ConclusionVoxel‐wise deep learning for IVIM fitting demands sufficiently extensive training to minimize parameter correlation and bias for unsupervised learning, or demands a close correspondence between the training and test sets for supervised learning.
Neuroregeneration and immune response after neurorrhaphy are improved with the use of heterologous fibrin biopolymer in addition to suture repair alone
Authors: Tibúrcio Felipe Cantore , Muller Kevin Silva , Leite Ana Paula Silveira , de Oliveira Igor Rodrigues Araújo , Barraviera Benedito , Ferreira Rui Seabra , Padovani Carlos Roberto , Pinto Carina Guidi , Matheus Selma Maria Michelin 
Published: March 2023

AbstractIntroduction/AimsPeripheral nerve injuries result in impaired neuromuscular interactions, leading to morphological and functional alterations. Adjuvant suture repair methods have been used to improve nerve regeneration and modulate the immune response. Heterologous fibrin biopolymer (HFB), a scaffold with adhesive properties, plays a critical role in tissue repair. The aim of this study is to evaluate neuroregeneration and immune response focusing on neuromuscular recovery, using suture‐associated HFB for sciatic nerve repair.MethodsForty adult male Wistar rats were distributed into four groups (n = 10): C (control), only sciatic nerve location; D (denervated), neurotmesis and 6‐mm gap removal and fixation stumps in subcutaneous tissue; S (suture), neurotmesis followed by suture; and SB (suture + HFB), neurotmesis followed by suture and HFB. Analysis of M2 macrophages (CD206+), as well as the morphology and morphometry of nerves, soleus muscle, and neuromuscular junctions (NMJs), were performed at 7 and 30 days after surgery.ResultsThe SB group had the highest M2 macrophage area in both periods. After 7 days, SB was the only group similar to the C group regarding the number of axons; furthermore, after 30 days, the SB group was closer to the C group concerning blood vessel and central myonuclear numbers, NMJ angle, and connective tissue volume. After 7 days, increases in nerve area, as well as the number and area of blood vessels, were also observed in SB.DiscussionHFB potentiates the immune response, increases axonal regeneration, induces angiogenesis, prevents severe muscle degeneration, and assists in NMJ recovery. In conclusion, suture‐associated HFB has major implications for improved peripheral nerve repair.
Output tracking control for 2‐D discrete systems with actuator failures
Authors: Badie Khalid , Chalh Zakaria , Alfidi Mohammed 
Published: March 2023

AbstractThis article is concerned with the reliable output tracking control problem for a class of two‐dimensional (2‐D) discrete systems with actuator faults. The systems are described by the well‐known Roesser model. The aim of the problem addressed is to design a reliable controller such that the output of the 2‐D discrete systems tracks the output of a given reference model well in the sense. By resorting to a Lyapunov function and some zero equations, a new criterion on tracking performance analysis is presented. This criterion is then applied to design the tracking controller, for both cases known and unknown actuator failures. Finally, two examples are given to illustrate the effectiveness of the proposed method.
Healable carbon fiber reinforced epoxy composites: Synchronous healing of matrix and interface damage
Authors: Xu Xirong , Yuan Weihao , Liu Pengxiang , Liu Li , Huang Yudong , Hu Zhen 
Published: March 2023

AbstractThermosetting composites are a range of high‐performance materials with important applications in multiple fields. However, inaccessible damage such as microcracks ingress from the environment may appear with long term use. Over time, the micro‐damage further expands and leads to material failure. The damage includes the interface damage and the matrix damage. Therefore, the healing technology of composites needs to respond and heal the micro‐damage of the interface and resin in the composites synchronously. In this work, siloxane dynamic bond was introduced into matrix and interface respectively. Specifically, a new type of crosslinker containing polysiloxane was synthesized and used to cure epoxy resin. Polyhedral oligomeric silsesquioxane was modified on the surface of carbon fibers (CFs) by sizing method. The prepared resin showed great mechanical properties and thermal stability, while the mechanical strength and surface activity of the CFs were also improved. Due to siloxane chain exchange reaction, matrix and interface could healing synchronously with good healing efficiency. Furthermore, the composites could retain about 65% of their original mechanical properties after healing multiple times. Composites realized synchronous healing of the resin matrix and the interface and laid foundation for extending the service life and performance of advanced resin‐based composites.
Dynamic mechanical properties in natural rubber/styrene‐butadiene rubber blends: The local strain behavior in the glass transition region
Authors: Marzocca A. J. , Mansilla M. A. 
Published: March 2023

AbstractA study of the local strains developed in vulcanized blends of natural rubber (NR) and styrene butadiene rubber (SBR), prepared by solution mixing, is presented. A semi‐EV system based on sulfur and accelerator was used for curing unfilled compounds at 160°C and 170°C. Samples were characterized by dynamic mechanical properties between −80°C and 20°C. Special interest was placed on the glass transition region of the vulcanized immiscible blends, where the NR and SBR phases are rubbery and glassy respectively. From the study of loss modulus, this research demonstrates how the local strain in the NR phase changes as a function of the amount of SBR in the blend. Assuming a coalescence behavior of the SBR glassy phase above a certain concentration, differences in the local stiffness of each phase in the glass transition regime were found. While in the glassy SBR phase the stiffness slightly varies with the NR/SBR content, a notorious increase was obtained in the rubbery NR phase at higher SBR content. The local strain on the NR phase of the blends shows a slight decrease for the samples vulcanized at 170°C compared with those vulcanized at 160°C.
Students' satisfaction with their academic majors and study commitment: The mediating role of academic psychological capital
Authors: Elom Chinyere O. , Okolie Ugochukwu C. , Abonyi Sunday O. , Ekeh David O. , Umoke Chukwudum C. 
Published: March 2023

AbstractThis study examines the effect of students' satisfaction with their academic majors (major satisfaction henceforth with) on their study commitment. Also, it examines the mediating role of academic psychological capital dimensions in the major satisfaction and study commitment nexus. Data were collected from 726 fourth‐year business undergraduate students, and a path analysis was employed to test the proposed hypotheses. The findings showed that students' major satisfaction had a positive significant association with the four components of academic psychological capital namely; self‐efficacy, optimism, resilience and hope, and study commitment. Also, each component of the academic psychological capital positively mediated the effect of students' major satisfaction on study commitment. The findings present important contributions to students' major satisfaction in the higher education context and promote the need to manage students' academic psychological capital to enhance their study commitment.
Traditional Chinese medicine targets on hepatic stellate cells for the treatment of hepatic fibrosis: A mechanistic review
Authors: Hui Dengcheng , Liu Lu , Bian Yanqin , Azami Nisma L. B. , Song Jingru , Huang Yanping , Sun Mingyu 
Published: March 2023

AbstractLiver cirrhosis is a leading cause of death from liver‐related diseases accompanied by a variety of complications; however, hepatic fibrosis, an inevitable stage of cirrhosis, is possible to be reversed and cured. Hepatic stellate cells (HSCs) are the primary cells that secrete extracellular matrix in the liver and play a dominant role in the pathogenesis of hepatic fibrosis. Effective therapeutic approaches for reversing hepatic fibrosis aim at inhibiting the activation of HSCs and inducing their inactivation or death. This review highlights the mechanism by which traditional Chinese medicine (TCM) regulates the activity of HSCs and exerts antifibrotic effects, providing insights and prospects for the treatment of hepatic fibrosis with TCM.
Regulating the platform giants: Building and governing China's online economy
Authors: McKnight Scott , Kenney Martin , Breznitz Dan 
Published: March 2023

AbstractThe online platform economy in China has grown to become one of the largest in the world. Its growth has contributed to China's economic development and played an important role in its innovation path. We present a three‐stage structured explanation of China's governance approaches toward its homegrown platform firms. Using Chinese government documents and secondary sources to conduct a historical process tracing analysis, we argue that the growth of China's main platform firms and the government's governance of them was co‐evolutionary, guided by the party‐state's goals of maintaining social‐political stability, economic growth and strengthening technological self‐sufficiency. By so doing this paper addresses the fundamental question of how a “strong” and “capable” state such as China's has responded as platform firms went from providing various online services to becoming core infrastructure in the economy and society to the point of threatening core government objectives.