bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ontogeny shapes individual specialization
Authors: Hertel Anne G. , Albrecht Jörg , Selva Nuria , Sergiel Agnieszka , Hobson Keith A. , Janz David M. , Mulch Andreas , Kindberg Jonas , Hansen Jennifer E. , Frank Shane C. , Zedrosser Andreas , Mueller Thomas 
Published: April 2023

ABSTRACTIndividual dietary specialization, where individuals occupy a subset of a population’s wider dietary niche, is a key factor determining a species resilience against environmental change. However, the ontogeny of individual specialization, as well as associated underlying social learning, genetic, and environmental drivers, remain poorly understood. Using a multigenerational dataset of female European brown bears (Ursus arctos) followed since birth, we discerned the relative contributions of environmental similarity, genetic heritability, maternal effects, and offspring social learning from the mother to individual specialization. Individual specialization accounted for 43% of phenotypic variation and spanned half a trophic position, with individual diets ranging from omnivorous to carnivorous. The main determinants of dietary specialization were social learning during rearing (13%), environmental similarity (9%), maternal effects (11%), and permanent between-individual effects (8%), whereas the contribution of genetic heritability was negligible. The trophic position of offspring closely resembled the trophic position of their mothers during the first 3-4 years of independence, but this relationship ceased with increasing time since separation. Our study shows that social learning and maternal effects are as important for individual dietary specialization as environmental composition. We propose a tighter integration of social effects into future studies of range expansion and habitat selection under global change that, to date, are mostly explained by environmental drivers.
Investigation of refractive index dynamics during embryo development using digital holographic microscopy
Authors: Dwapanyin George O. , Chow Darren J. X. , Tan Tiffany C. Y. , Dubost Nicolas S. , Morizet Josephine M. , Dunning Kylie R. , Dholakia Kishan 
Published: April 2023

AbstractEmbryo quality is a crucial factor affecting live birth outcomes. However, an accurate diagnostic for embryo quality remains elusive in thein vitrofertilization clinic. Determining physical parameters of the embryo may offer key information for this purpose. Here, we demonstrate that digital holographic microscopy (DHM) can rapidly and non-invasively assess the refractive index of mouse embryos. We showed that DHM can detect spatio-temporal changes in refractive index during embryo development that are reflective of its lipid content. As accumulation of intracellular lipid is known to compromise embryo health, DHM may prove beneficial in developing an accurate, non-invasive, multimodal diagnostic.
Phenotype control techniques for Boolean gene regulatory networks
Authors: Plaugher Daniel , Murrugarra David 
Published: April 2023

AbstractModeling cell signal transduction pathways via Boolean networks (BNs) has become an established method for analyzing intracellular communications over the last few decades. What’s more, BNs provide a course-grained approach, not only to understanding molecular communications, but also for targeting pathway components that alter the long-term outcomes of the system. This has come to be known asphenotype control theory. In this review we study the interplay of various approaches for controlling gene regulatory networks such as: algebraic methods, control kernel, feedback vertex set, and stable motifs. The study will also include comparative discussion between the methods, using an established cancer model of T-Cell Large Granular Lymphocyte (T-LGL) Leukemia. Further, we explore possible options for making the control search more efficient using reduction and modularity. Finally, we will include challenges presented such as the complexity and the availability of software for implementing each of these control techniques.
High-throughput Automated Muropeptide Analysis (HAMA) Reveals Peptidoglycan Composition of Gut Microbial Cell Walls
Authors: Hsu Ya-Chen , Su Pin-Rui , Huang Lin-Jie , Cheng Kum-Yi , Chen Chun-hsien , Hsu Cheng-Chih 
Published: April 2023

ABSTRACTPeptidoglycan (PGN), a net-like polymer constituted by muropeptides, provides protection for microorganisms and has been one of the major targets for antibiotics for decades. Researchers have explored host-microbiome interactions through PGN recognition systems and discovered key muropeptides modulating host responses. However, most common characterization techniques for muropeptides are labor-intensive and require manual analysis of mass spectra due to the complex cross-linked PGN structures. Each species has unique moiety modifications and inter-/intra-bridges, which further complicates the structural analysis of PGN. Here, we developed a high-throughput automated muropeptide analysis (HAMA) platform leveraging tandem mass spectrometry andin silicomuropeptide MS/MS fragmentation matching to comprehensively identify muropeptide structures, quantify their abundance, and infer PGN cross-linking types. We demonstrated the effectiveness of the HAMA platform using well-characterized PGNs fromE. coliandS. aureusand further applied it to common gut bacteria including species ofBifidobacterium, Bacteroides, Lactobacillus, Enterococcus,andAkkermansia.We thoroughly explored their PGN structures accurately identified muropeptide mono-/multi-mers, and even unambiguously discriminated the structural isomers via the HAMA platform. Furthermore, we found that the cell stiffness may be correlated to the compactness of the PGN structures through the length of interpeptide bridges or the site of transpeptidation withinBifidobacteriumspecies. In summary, the HAMA framework exhibits an automated, intuitive, and accurate analysis of PGN compositions, which may serve as a potential tool to investigate the post-synthetic modifications of saccharides, the variation in interpeptide bridges, and the types of cross-linking within bacterial PGNs.
Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language
Authors: Oever Sanne Ten , Titone Lorenzo , Rietmolen Noémie te , Martin Andrea E. 
Published: April 2023

AbstractNeural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable. Perception of ambiguous input presented during less-excitable phases should therefore be biased towards frequent or predictable stimuli that have lower activation thresholds. Here, we show with computational modelling, psychophysics, and magnetoencephalography such a frequency bias in spoken word recognition; a computational model matched the double dissociation found with MEG, where the phase of oscillations in the superior temporal gyrus (STG) and medial temporal gyrus (MTG) biased word-identification behavior based on phoneme and lexical frequencies, respectively. These results demonstrate that oscillations provide a temporal ordering of neural activity based on the sensitivity of separable neural populations.
Discovery of broadly-neutralizing antibodies against brown recluse spider and Gadim scorpion sphingomyelinases using consensus toxins as antigens
Authors: Rivera-de-Torre Esperanza , Lamparidou Stefanos , Bohn Markus F. , Kazemi Seyed Mahdi , Laustsen Andreas H. 
Published: April 2023

AbstractBroadly-neutralizing monoclonal antibodies are becoming increasingly important tools for treating infectious diseases and animal envenomings. However, designing and developing broadly-neutralizing antibodies can be cumbersome using traditional low-throughput iterative protein engineering methods. Here, we present a new high-throughput approach for the standardized discovery of broadly-neutralizing monoclonal antibodies relying on phage display technology and consensus antigens representing an average sequence of related proteins. We showcase the utility of this approach by applying it to toxic sphingomyelinases from the venoms of very distant orders of the animal kingdom, the recluse spider and Gadim scorpion. First, we designed a consensus sphingomyelinase and performed three rounds of phage display selection, followed by DELFIA-based screening and ranking, and benchmarked this to a similar campaign involving cross-panning against recombinant versions of the native toxins. Second, we identified two scFvs that not only bind the consensus toxins, but which can also neutralize sphingomyelinase activityin vitro. Finally, we conclude that the phage display campaign involving the use of the consensus toxin was more successful in yielding cross-neutralizing scFvs than the phage display campaign involving cross-panning.
A single inactivating amino acid change in the SARS-CoV-2 NSP3 Mac1 domain attenuates viral replication and pathogenesisin vivo
Authors: Taha Taha Y. , Suryawanshi Rahul K. , Chen Irene P. , Correy Galen J. , O’Leary Patrick C. , Jogalekar Manasi P. , McCavitt-Malvido Maria , Diolaiti Morgan E. , Kimmerly Gabriella R. , Tsou Chia-Lin , Martinez-Sobrido Luis , Krogan Nevan J. , Ashworth Alan , Fraser James S. , Ott Melanie 
Published: April 2023

AbstractDespite unprecedented efforts, our therapeutic arsenal against SARS-CoV-2 remains limited. The conserved macrodomain 1 (Mac1) in NSP3 is an enzyme exhibiting ADP-ribosylhydrolase activity and a possible drug target. To determine the therapeutic potential of Mac1 inhibition, we generated recombinant viruses and replicons encoding a catalytically inactive NSP3 Mac1 domain by mutating a critical asparagine in the active site. While substitution to alanine (N40A) reduced catalytic activity by ∼10-fold, mutations to aspartic acid (N40D) reduced activity by ∼100-fold relative to wildtype. Importantly, the N40A mutation rendered Mac1 unstablein vitroand lowered expression levels in bacterial and mammalian cells. When incorporated into SARS-CoV-2 molecular clones, the N40D mutant only modestly affected viral fitness in immortalized cell lines, but reduced viral replication in human airway organoids by 10-fold. In mice, N40D replicated at >1000-fold lower levels compared to the wildtype virus while inducing a robust interferon response; all animals infected with the mutant virus survived infection and showed no signs of lung pathology. Our data validate the SARS-CoV-2 NSP3 Mac1 domain as a critical viral pathogenesis factor and a promising target to develop antivirals.
Experimental and numerical investigation of flow and thermal characteristics of aluminum block exchanger using surface-modified and recycled nanofluids
Authors: Gülmüş Berrak , Muratçobanoğlu Burak , Mandev Emre , Afshari Faraz 
Published: April 2023

Purpose
The purpose of this study is to numerically and experimentally survey the thermal efficiency of a block-type heat exchanger operated in different working conditions by using pure water and two nanofluids as heat transfer fluids.

Design/methodology/approach
An aluminum block-type heat exchanger integrated with Peltier thermoelectric element was designed and installed to operate in a cycle, and the thermal performance of the heat exchanger, heat transfer rate, Nusselt and heat transfer coefficient variations were examined at different bath water temperatures by using recycled nanofluids. New generation surface-modified Fe3O4@SiO2-mix-(CH2)3Cl@Imidazol/water nanofluid was used as heat transfer fluid in the cycle. In addition, CFD simulation was performed using ANSYS/Fluent to investigate the temperature distribution and fluid flow structure in the used heat exchanger.

Findings
Experiments were carried out by using numerical and experimental methods. In the experiments, the operating conditions such as flow rate, volume fraction of the nanofluid and water bath temperature were changed to find the effect of each parameter on the thermal efficiency. The Reynolds number varied depending on the test conditions, which was calculated in the range of approximately 100 < Re < 350. In addition, Nusselt number and heat transfer coefficient of test fluids were very close to each other. For 0.4% nanofluid, the maximum h value was obtained as 3837.1, when the Reynolds number was measured as 314.4.

Originality/value
In the scientific articles published in the field of heat exchangers operated by nanofluids, little attention has been paid to the stability of the nanofluids and sedimentation of particles in the base fluids. In addition, in most cases, experiments were implemented using an electrical resistance as a heat source. In this research, stable surface-modified nanofluids were used as heat transfer fluids, and it was found that the Peltier thermoelectric can be used as heat sources with acceptable efficiency in flat-type heat exchangers and even non-circular channels.
Exploring open innovation engagement process of hotel brand community members: motivation, empowerment and consequences
Authors: Shin Hakseung 
Published: April 2023

Purpose
This paper aims to examine the open innovation engagement process in terms of how online community members create and share knowledge for open innovation and the consequences of engagement.

Design/methodology/approach
A mixed methods approach based on netnography (Study 1), qualitative interviews (Study 2) and surveys (Study 3) was adopted in three studies.

Findings
The results of Study 1 show that hotel brand community members actively create and share their knowledge by evaluating hotel policies, providing service suggestions and creating new service ideas. The results of Study 2 identified enjoyment and empowerment as major antecedents of the engagement and brand loyalty and a sense of brand community as major consequences. In Study 3, the relationships among them were quantitatively examined.

Research limitations/implications
This research provides empirical knowledge on online engagement and identifies the innovation value of online platforms. The research also provides knowledge on the engagement process for open innovation by online community members in terms of its antecedents and consequences. As a main limitation of the study, this research only focuses on a single online brand community.

Originality/value
While most existing tourism research analyzes the role of user-generated content in customer decision-making, this research provides a fresh insight into the innovation value of customer knowledge.
Transformative service research approaches for visitor experiences in major sporting events
Authors: Steriopoulos Effie , Ooi Can-Seng 
Published: April 2023

PurposeThis research conceptualises the hallmark event, Melbourne Cup in Australia, as a major sporting brand experience. While numerous studies have explored consumer engagement and experiences in major sporting events, few research studies highlight the negative issues, such as alcoholism, gambling and violence, that may affect consumer engagement and experience. This article addresses the challenges and opportunities of providing immersive and transformative experiences through transformative service research (TSR) approaches when such negative issues are swirling around.Design/methodology/approachThe paper is conceptual. It uses the example of Melbourne Cup to illuminate aspects of the conceptual framework.FindingsThe article unpacks a myriad of positive and negative immersive brand experiences and contributes a conceptual framework to understand the sporting brand experience phenomenon and shows how authentically responsible marketing approaches can improve the sport spectator experience.Research limitations/implicationsInsights from the extended TSR framework presents implications for various organisations that are involved with strategic destination marketing approaches. It guides key stakeholders to engage in dialogue and collaborate in order to improve the attendee transformative experience. Inviting collaborators will facilitate the exchange of ideas that will improve event organisation. Consistent approaches among hospitality service providers would improve alcohol service and create a safe environment for attendees. The TSR framework guides players of the experience to engage in meaningful dialogue with a common goal to improve consumer wellbeing. Education and training therefore are key elements in the consumer sporting brand experience.Practical implicationsThe adapted TSR framework offers insights to destination marketers such as sporting agencies, tour operators and sporting organisations/clubs. Marketers may promote bigger sporting events and organise tours via travel agencies and ignore key elements that may influence attendee decision. Destination marketing organisations (DMOs) can use the framework to promote effective planning and the key initiatives that the iconic event is involved with. The framework can be used as a guide to manage similar international events. Events of major or mega size and international reputation need specific frameworks that address crowd behaviours of similar sizes.Originality/valueAn extended transformative service approach is being conceptualised for major sporting brand experiences. Practical implications are also highlighted for DMOs when raising the profile of city brands.
Recovery from plant-level supply chain disruptions: supply chain complexity and business continuity management
Authors: Guntuka Laharish , Corsi Thomas M. , Cantor David E. 
Published: April 2023

PurposeThe purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.Design/methodology/approachTo test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).FindingsSeveral important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.Originality/valueThis research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.
Toyota's production efficiency improvement management: best practice for productivity evaluation and operation improvement
Authors: Minh Nguyen Dat 
Published: April 2023

PurposeThe purpose of this study is to introduce an enterprise's productivity management named “Production efficiency improvement - PEFF”. This study shows the way of developing the management system to keep their shop floor “flexible to change” and “continuously controlling and improving” from the different levels and in various factories.Design/methodology/approachThis study refers to Toyota's PEFF management system in the context of productivity enhancement through detailed management processes including yearly management, monthly management, daily management and its application in a case study from another sector as a model case of PEFF expansion. The methodology of this study is to introduce a method for production efficiency analysis, measure and select standard time through PEFF calculation.FindingsToyota's PEFF management can be extremely effective at developing management's ability to conduct day-to-day shop-floor management, know-how sharing and how Toyota applies PEFF to develop the world-standard on manpower efficiency for their factories. Besides, this study shows the applicable of PEFF improvement has successfully conducted in other manufacturers in a flexible way to achieve the improvement targets.Research limitations/implicationsThe results of this study will aid the managers in production lines to find the method of calculating and evaluating production efficiency through Toyota's management techniques such as PEFF, YIP, WVACT and standard time. However, the approach for this paper was from a synchronized system as Toyota is limited to generalized to small and medium-sized enterprises.Originality/valueThis paper is introducing the original Toyota's management technique to sustainable enhance their manpower performance and efficiency and answer the question of why TPS still exists in the age of digital management. PEFF management serves as an example of a value management process to help manufacturers to set guidelines to improve their productivity.
Testing the “holy grail” of industrial psychology as a non-recursive bow pattern model in higher education using the PLSe2 method
Authors: Ghasemy Majid , Gaskin James Eric , Elwood James A. 
Published: April 2023

PurposeThe direction of causality between job satisfaction and job performance (known as the holy grail of industrial psychologists) is undetermined and related research findings in different organizational contexts are mixed. Based on the ample literature, mainly from Western countries, on the relationship between job satisfaction and job performance, a non-recursive bow pattern model was utilized to investigate the direct relationship between these two variables in an Asia–Pacific higher education system.Design/methodology/approachThis study is quantitative in approach and survey in design. Additionally, to meet the statistical requirements of non-recursive bow pattern analysis, the authors added welfare as a theory-driven instrumental variable to introduce exogenous variability. Using the efficient partial least squares (PLSe2) estimator, the authors fitted the model to the data collected from 2008 academics affiliated with Malaysian public universities and polytechnics.FindingsThe results showed that while job satisfaction is considerably influenced by welfare, it is not a significant predictor of job performance directly. In addition, a meaningful positive correlation between the disturbance terms of job satisfaction and job performance was observed, suggesting the existence of other factors that could increase both job satisfaction and job performance. The findings' theoretical and practical implications are discussed, and a list of theory-driven evidenced-based policies in this regard is provided.Originality/valueThis is the first study to test a non-recursive bow pattern model and examine the holy grail of industrial psychology based on the PLSe2 methodology, as a parametric approach to partial least squares (PLS), in a higher education context. This study also provides higher education researchers with the advantages of the PLSe2 method, especially in causal-predictive modeling, in the context of applied higher education research.