bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shedding Light on Bacterial Physiology with Click Chemistry
Authors: Zheng Qiuyu , Chang Pamela V. 
Published: October 2022

AbstractBacteria constitute a major lifeform on this planet and play numerous roles in ecology, physiology, and human disease. However, conventional methods to probe their activities are limited in their ability to visualize and identify their functions in these diverse settings. In the last two decades, the application of click chemistry to label these microbes has deepened our understanding of bacterial physiology. With the development of a plethora of chemical tools that target many biological molecules, it is possible to track these microorganisms in real‐time and at unprecedented resolution. Here, we review click chemistry, including bioorthogonal reactions, and their applications in imaging bacterial glycans, lipids, proteins, and nucleic acids using chemical reporters. We also highlight significant advances that have enabled biological discoveries that have heretofore remained elusive.
Multimodal Raman spectroscopy and optical coherence tomography for biomedical analysis
Authors: Fitzgerald Sean , Akhtar Jobaida , Schartner Erik , Ebendorff‐Heidepriem Heike , Mahadevan‐Jansen Anita , Li Jiawen 
Published: October 2022

AbstractOptical techniques hold great potential to detect and monitor disease states as they are a fast, non‐invasive toolkit. Raman spectroscopy (RS) in particular is a powerful label‐free method capable of quantifying the biomolecular content of tissues. Still, spontaneous Raman scattering lacks information about tissue morphology due to its inability to rapidly assess a large field of view. Optical Coherence Tomography (OCT) is an interferometric optical method capable of fast, depth‐resolved imaging of tissue morphology, but lacks detailed molecular contrast. In many cases, pairing label‐free techniques into multimodal systems allows for a more diverse field of applications. Integrating RS and OCT into a single instrument allows for both structural imaging and biochemical interrogation of tissues and therefore offers a more comprehensive means for clinical diagnosis. This review summarizes the efforts made to date toward combining spontaneous RS‐OCT instrumentation for biomedical analysis, including insights into primary design considerations and data interpretation.
Ultra‐high‐performance supercritical fluid chromatography‐mass spectrometry for the analysis of organic contaminants in sediments
Authors: Lübeck Josephine S. , Christensen Jan H. , Tomasi Giorgio 
Published: October 2022

A nontarget screening method was developed based on D‐optimal designs for ultra‐high performance supercritical fluid chromatography with positive and negative electrospray ionization mode mass spectrometry. A mixture of organic contaminants such as pesticides, steroids, surfactants, phenolic and fatty acids, and polycyclic aromatic hydrocarbon derivatives, was used for the optimization. An aprotic mixture of dichloromethane and acetone [3:1] performed overall best as the injection solvent. The highest peak capacities (n) were accomplished at the shallowest gradient (1%B/min), ammonium formate (n = 378 in negative ionization mode), or ammonium acetate (n = 327 in positive ionization mode) in methanol as the modifier. Capillary voltage, make‐up solvent flow rate, water, and additive concentration were the most significant factors for improving peak intensity: higher peak intensities were obtained at lower additive concentrations (5mM ammonium formate), and with 5% water in positive ionization mode. Conversely, water had detrimental effects in negative ionization mode. The optimized method was used to quantify organic contaminants in 17 freshwater sediment samples from Copenhagen, Denmark. Out of 50 monitored contaminants, 35 were detected in at least one sample. Further, the method has a potential for target and nontarget screening analysis of organic contaminants in solid matrices.
Integrating tradition and innovation within a wine tourism and hospitality experience
Authors: Alonso Abel Duarte , Bressan Alessandro , Kim Oanh Vu Thi , Kok Seng Kiat , Atay Erhan 
Published: October 2022

AbstractThis study explores the strategic choices among wineries involved in wine tourism experiences, including whether they rely on tradition, fully embrace innovation, or combine both. The study, conducted between December of 2018 and January of 2019, draws on face‐to‐face interviews with 32 owners/managers of New World wineries that, on average, have operated for nearly three decades. The findings illustrate the predominance of the ‘traditional‐innovative school’, where production and winemaking processes amalgamate existing and emerging principles, methods, and technologies. The chosen inductive approach resulted in the development of several theoretical frameworks; based upon these, empirical and theoretical implications are drawn.
Knowledge management maturity assessment frameworks: A proposed holistic approach
Authors: Bougoulia Eirini , Glykas Michail 
Published: October 2022

AbstractThe paper aims to provide a systematic overview of the maturity models used in knowledge management (KM) with the purpose of identifying different perspectives, contributions, shortcomings, and implementation gaps. This study can be characterized as a theoretical research based on a systematic literature review. As a result of this analysis, KM key points and knowledge management maturity models (KMMMs) critical success factors (CSFs) are pointed out and recorded. The concept of standardization and its relation to KM, presenting known KM Standards and their core principles is explored. Even though there is a large number of publications on KM, a literature gap is identified in publications regarding the field of KM Standards and corresponding case studies. Based on the most widely spread critical success factors used in the knowledge management maturity assessment presented in the literature survey, the objective of this paper is to propose a holistic and integrated knowledge management maturity assessment framework encompassing the core guidelines of ISO 30401 in order to be used by researchers and practitioners for future reference in the form of a generic maturity assessment web matrix.
Resolving the complexity in Gen Z's envy occurrence: A cross‐cultural perspective
Authors: Colmekcioglu Nazan , Dedeoglu Bekir Bora , Okumus Fevzi 
Published: October 2022

AbstractEnvy is an impactful emotion on consumer behaviors, yet envy is quite complex to be comprehended due to its two different forms (malicious and benign). Therefore, it is significant to find out the factors occurring envy to consume to understand the impact and consequences of envy. This empirical study improves our understanding of envy occurrence (malicious or benign) in Generation Z (Gen Z) consumers by comparing two countries (the United States and Mexico) as representing individualistic and collectivistic cultures. We apply complexity theory as a basis for the configurational model, which we test using fuzzy‐set qualitative comparative analysis. We use three configurations—personality, attitudes, and attached importance to participants on social networking sites—to explore causal recipes leading to malicious and benign envy. The findings of this study highlight the differences in Gen Z consumers' envy occurrence regarding configurational factors. In addition to said factors, this research indicates that culture plays a significant role in Gen Z's envy occurrence, thus contributing to the current knowledge set.
The impact of childhood environments on the sunk‐cost fallacy
Authors: Jhang Jihoon , Lee Daniel Chaein , Park Jooyoung , Lee Jaehoon , Kim Jungkeun 
Published: October 2022

AbstractThe sunk‐cost fallacy is a well‐documented cognitive bias in the decision‐making literature. Although the emerging literature on childhood socioeconomic status suggests that early‐life environments shape individuals' decision strategies and have a long‐lasting impact on their decisions, little is known about the impact of childhood socioeconomic status on the sunk‐cost fallacy. Using two different scenarios and an actual choice task, we provide converging evidence that individuals who grew up in resource‐scarce environments (those with lower childhood socioeconomic status) are reluctant to abandon inferior choices merely because they have already invested substantial resources in them, resulting in the sunk‐cost fallacy. This fallacy occurs because individuals with lower childhood socioeconomic status tend to perceive the loss of their prior investments as more wasteful than those with higher childhood socioeconomic status.
Anti‐Hyperuricemic, Nephroprotective, and Gut Microbiota Regulative Effects of Separated Hydrolysate of α‐Lactalbumin on Potassium Oxonate‐ and Hypoxanthine‐Induced Hyperuricemic Mice
Authors: Xie Dewei , Shen Yaling , Su Erzheng , Du Lei , Xie Jingli , Wei Dongzhi 
Published: October 2022

ScopeThis study aims to investigate the anti‐hyperuricemic and nephroprotective effects and the potential mechanisms of the separated gastrointestinal hydrolysates of α‐lactalbumin on hyperuricemic mice.Methods and resultsThe gastrointestinal hydrolysate of α‐lactalbumin, the hydrolysate fraction with molecular weight (MW) < 3 kDa (LH‐3k), and the fragments with smallest MW among LH‐3K harvested through dextran gel chromatography (F5) are used. Hyperuricemia mice are induced via daily oral gavage of potassium oxonate and hypoxanthine. F5 displays the highest in vitro xanthine oxidase (XO) inhibition among all the fractions separated from LH‐3k. Oral administration of F5 significantly reduces the levels of serum uric acid (UA), creatinine, and urea nitrogen. F5 treatment could ameliorate kidney injury through alleviating oxidative stress and inflammation. F5 alleviates hyperuricemia in mice by inhibiting hepatic XO activity and regulating the expression of renal urate transporters. Gut microbiota analysis illustrates that F5 administration increases the abundance of some SCFAs producers, and inhibits the growth of hyperuricemia and inflammation associated genera. LH‐3k exhibits similar effects but does not show significance as those of the F5 fraction.ConclusionThe anti‐hyperuricemia and nephroprotective functions of F5 are mediated by inhibiting hepatic XO activity, ameliorating oxidative stress and inflammation, regulating renal urate transporters, and modulating the gut microbiota in hyperuricemic mice.
The life experiences of living liver donors: A qualitative meta‐synthesis
Authors: Jang Hye‐Young , Im  Hyei Yeon , Nam Hye Jin 
Published: October 2022

AbstractAs living liver transplantation has become a standard treatment method with a high success rate, many studies have investigated the experiences of living liver donors; however, their results have not been integrated. This qualitative meta‐synthesis aimed to explore the life experiences of living liver donors to provide an in‐depth understanding of meaningful common experiences. A comprehensive search on qualitative studies published in English or Korean was conducted in October 2021. The PRISMA statement was used for reporting each phase of the literature search, and MAXQDA2020 software was used for data analysis. Data synthesis was conducted using the three‐step thematic synthesis method suggested by Thomas and Harden. Ten articles met the inclusion criteria. The analysis revealed five main themes: “Becoming an earnest donor,” “Transitioning from a potential donor to an actual donor,” “Difficulties in returning to normal life,” “Re‐examining the meaning of donation,” and “Wishes for prospective donors.” The study emphasizes that living liver donors need medical attention and intervention from multilateral perspectives as well as the need for systematic change in the society to enhance support for donors. This review provides comprehensive insights on how individuals became the living liver donor and the important aspects of living donation and other considerations in an integrated manner. Transplant teams, including nurses and coordinators, should have a comprehensive understanding of physical, psychological, and social experiences of donors ranging from decision‐making to post donation health management.
Communication about diagnosis and prognosis—A population‐based survey among bereaved parents in pediatric oncology
Authors: Bartholdson Cecilia , Kreicbergs Ulrika , Sveen Josefin , Lövgren Malin , Pohlkamp Lilian 
Published: October 2022

AbstractIntroductionWhen a child is diagnosed with cancer, the whole family is affected, and parents struggle to grasp challenging information regarding diagnosis and prognosis. Most parents and children want honest communication and openness, yet this remains a complex and challenging task for healthcare professionals.ObjectivesTo describe bereaved mothers' and fathers' reports of communication of their child's cancer diagnosis and when the illness became incurable.MethodsData from a Swedish population‐based survey conducted in 2016, including 135 mothers and 97 fathers who had lost a child to cancer 1–5 years earlier, were studied regarding the parents' reports of communication about their child's illness.ResultsA vast majority of parents wants information when their child's illness becomes incurable, and this need is generally met. However, fathers to a lesser extent than mothers, reported that they were informed about it. According to parents' reports 87% of children received diagnostic information and 44% of the children received prognostic information.ConclusionA vast majority of both mothers and fathers would like to know when their child's illness becomes incurable, yet it remains unknown to what extent they want their child to be informed.
Cosmic Inflation and Genetic Algorithms
Authors: Abel Steve A. , Constantin Andrei , Harvey Thomas R. , Lukas Andre 
Published: October 2022

AbstractLarge classes of standard single‐field slow‐roll inflationary models consistent with the required number of e‐folds, the current bounds on the spectral index of scalar perturbations, the tensor‐to‐scalar ratio, and the scale of inflation can be efficiently constructed using genetic algorithms. The setup is modular and can be easily adapted to include further phenomenological constraints. A semi‐comprehensive search for sextic polynomial potentials results in viable models for inflation. The analysis of this dataset reveals a preference for models with a tensor‐to‐scalar ratio in the range . We also consider potentials that involve cosine and exponential terms. In the last part we explore more complex methods of search relying on reinforcement learning and genetic programming. While reinforcement learning proves more difficult to use in this context, the genetic programming approach has the potential to uncover a multitude of viable inflationary models with new functional forms.
Can the quasi‐molecule concept help in deciphering planarity? The case of polycyclic aromatic hydrocarbons
Authors: Varandas António J. C. 
Published: October 2022

AbstractUsing our recent concept of quasi‐molecule, we comment on the physical basis of the Periodic Table for the enumeration of Polyatomic Aromatic Hydrocarbons (PAH6), and Dias aufbau units on which it was based. The method here presented uses a mathematical Lemma and employs quantum chemistry calculations for the quasi‐molecules (tiles) that are embedded on the parent molecule: if planar, all tiles must be planar and share the same plane. Case studies include prototypical PAHs that originate from by adding or aufbau units, some radicals like , members of the family, and [n]triangulenes. Although a demonstration by examples is impracticable due to number and time limitations, a simplified approach based on generalized quasi‐molecules is suggested. Apparently unreported thus far, the structures of a few novel planar molecules are presented, and so are difficulties often uncontested in assessing planarity via common quantum chemistry calculations.
Neural network‐based event‐triggered finite‐time control of uncertain nonlinear systems with full‐state constraints and actuator failures
Authors: Wang Jianhui , Yan Yancheng , Liu Zhi , Chen C. L. Philip , Zhang Chunliang , Chen Kairui 
Published: October 2022

AbstractThis work investigates a Neural Network‐ (NN) based event‐triggered finite‐time control for a class of uncertain nonlinear systems with full‐state constraints and actuator failures. Firstly, practical engineering systems are widely affected by state constraints, actuator failures, etc. Violation of constraints would considerably affect the system's performance. Especially, it is challenging to guarantee system stability when the system is subject to these constraints, which are uncertain in time, form, and value. To address these issues, an intelligent control method is constructed based on logarithm‐type Barrier Lyapunov Functions and Backstepping technology. Furthermore, consider that bandwidth resources are limited in practical engineering systems, and the excellent convergence performance of the system is the actual industrial requirement. Thus, a NN‐based event‐triggered finite‐time control strategy is established to save bandwidth and achieve finite‐time convergence of the system. Finally, theoretical analysis and simulation examples are presented to demonstrate the effectiveness of the proposed control scheme.
Multi‐Material Additively Manufactured Magnetoelectric Architectures with a Structure‐Dependent Mechanical‐to‐Electrical Conversion Capability
Authors: Wu Hongzhi , Wang Qi , Wu Zhenhua , Wang Mingzhe , Yang Lei , Liu Zhufeng , Wu Siqi , Su Bin , Yan Chunze , Shi Yusheng 
Published: October 2022

AbstractMulti‐material additive manufacturing has become a promising trend in fabricating advanced functional architectures due to its controllable design of diverse material species and novel structures. It remains challenging to endow the multi‐material components with a mechanical‐to‐electrical conversion capability. This study reports on multi‐material selectively laser sintered magnetoelectric architectures that can convert mechanical energy to electricity in a structure‐dependent manner. The principal aim is to establish a relationship between the electrical output and the printed structures by fabricating a series of porous architectures with diverse structural parameters. The findings show that the output voltage increases with the decrease of the elastic modulus and the increase of the magnetic height, which has been analyzed by numerical simulation. Owing to the mechanical‐to‐electrical conversion capability, a pair of multi‐material printed sneakers with the functionalities of power generation and gait analysis has been prepared. The voltage output reaches as high as ≈2 V, which can lighten a light‐emitting diode lamp when a user is running. The described solution in this work has offered an exploration framework for the design, fabrication, and application prospects of multi‐material additively manufactured architectures.
Habit persistence in assets demand
Authors: Fleissig Adrian R. , Swofford James L. 
Published: October 2022

AbstractHabit persistence is examined for six asset demand categories using U.S. data and a dynamic forward‐looking model. We find habit persistence is greater for more liquid assets compared to riskier assets and may in part explain low holdings of riskier assets. Cash assets are found to be substitutes with other liquid assets under habit formation. Consistent with portfolio analysis, the riskier asset categories of money market mutual funds and bonds are found to be complements in use. The three more risky asset categories have budget elasticities greater than unity indicating that in the long run consumers are more likely to turn to these assets as their wealth increases.
Process Mining for Detailed Process Analysis
Authors: Jans Mieke , Laghmouch Manal 
Published: October 2022

AbstractBusiness processes are at the core of a well-functioning organization. They reflect how information should flow and what actions should be taken to achieve business goals. The discipline of Business Process Management (BPM) focuses on managing and improving business processes within an organization and is often partially adopted during an audit. This chapter discusses how various process analyses can support both internal and external auditors. To ensure that process analysis leads to correct insights, process mining can be applied. Process mining is a collective name for all data-driven process analysis techniques. The insights generated from a process mining analysis provide a good basis for improving business processes in terms of efficiency and risk. This broad view of processes ensures that the generated insights are relevant to both the internal and external auditor.
Artificiality and Sustainability in Entrepreneurship. Exploring the Unforeseen and Paving the Way to a Sustainable Future
Authors: Pundziene Asta , Adams Richard , Grichnik Dietmar , Volkmann Christine 
Published: October 2022

AbstractThis edited collection explores the past, present, and future of artificiality and sustainability in entrepreneurship, the unforeseen consequences, and how to head forward to a sustainable future. First, we integrate the concepts of entrepreneurship and artificiality. We propose that entrepreneurs produce artefacts of entrepreneurship—new ventures, entrepreneurial firms, etc.—that have functions and goals set to respond to the conditions of the diverse environments in which they operate. Second, we contend that the prevailing technological environment can be perceived as an artefact that significantly impacts entrepreneurs, new ventures, and entrepreneurial firms. Digital technologies effectuated new forms of ventures such as born-digital and transformed incumbents to adopt them. Digital technologies come with virtualising our everyday environments and induce behavioral and cognitive changes, which call for new capabilities, e.g., dynamic capabilities. Finally, we conclude with further research questions to be addressed by the entrepreneurship, technology management and sustainability scholars.
Entrepreneurial University and Social Innovation Ecosystems: Do They Support HEIs’ Knowledge-Based Economic Development?
Authors: Saha Nibedita , Sáha Tomáš , Sáha Petr 
Published: October 2022

AbstractThis chapter intends to analyze and develop the concept of the entrepreneurial university and social innovation ecosystem from multiple viewpoints, including HEI regional knowledge spillover and social innovation ecosystem theoretical approaches, as well as policy and research views. The emerging perspectives of the entrepreneurial universities in the knowledge economy are considered as an instrument for “innovation and development” that acts as an elixir for the social innovation paradigm. Due to its vital position in the horizon EU strategy, respectively entrepreneurial universities and the social innovation ecosystem are gaining increasing importance in the EU’s regional knowledge-based economic growth policy discourse. Since then, they’ve been used by policymakers around the world as building blocks for executing various innovation policies, including research and innovation, smart inclusive regional knowledge growth, social innovation, industrial development, and regional development policies. The responsiveness of entrepreneurial universities and the social innovation ecosystem is envisioned in this chapter as a “facilitator” for increasing knowledge-based economic development and innovation-driven regional growth.