bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication of size-coded amphiphilic particles with a configurable 3D-printed microfluidic device for the formation of particle-templated droplets
Authors: Akhtar Muhammad Usman , Sahin Mehmet Akif , Werner Helen , Destgeer Ghulam 
Published: September 2023

AbstractCompartmentalizing an aqueous media into numerous nanoliter-scale droplets has substantially improved the performance of amplification assays. Particle-templated droplets ordropiclesoffer a user-friendly workflow for creating uniform volume compartments upon simple mixing of reagents and particles by using common laboratory apparatus. Amphiphilic shape-coded particles have been demonstrated to spontaneously hold aqueous droplets within hydrophilic cavities for multiplexed diagnostic assays. Here, we have proposed a configurable 3D-printed microfluidic device for the tunable fabrication of amphiphilic size-coded particles. The device was configured with multiple outlet tubings of different diameters and photomasks of variable slit lengths to fabricate a wide range of size-coded particles. We have fabricated >10 unique particle codes using a single reconfigurable device. The cross-sectional profile of the particles was further engineered by tuning the flow rate ratios of precursor streams to vary the inner and outer diameters of the particles and the thicknesses of the inner hydrophilic and outer hydrophobic layers. A range of cavity diameters and particle lengths enableddropiclevolumes of ∼1nL to ∼30nL. The fabricated particles were characterized by their ability to hold uniform droplet volumes and to orient themselves facing upwards or sideways in a well plate based on their aspect ratios.
The vaccinia virus E3L dsRNA binding protein detects distinct production patterns of exogenous and endogenous dsRNA
Authors: Zhang Wenjing , Tanneti Nikhila S. , Fausto Alejandra , Nouel Joangela , Reyes Hanako , Weiss Susan R. , Li Yize 
Published: September 2023

AbstractDouble-stranded RNA (dsRNA) is a pathogen associated molecular pattern recognized by multiple pattern recognition receptors and induces innate immune responses. Viral infections can generate dsRNA during virus replication. Genetic mutations can also lead to endogenous dsRNA accumulation. DsRNA is present in multiple conformations such as the A form (A-dsRNA) or Z form (Z-dsRNA). A-dsRNA has been detected from multiple viruses with positive-stranded RNA genomes (+ssRNA) but rarely from viruses with negative RNA genomes (-RNA); Z-dsRNA can be detected from influenza virus and poxvirus infections. Viruses have evolved mechanisms to antagonize cellular antiviral responses triggered by dsRNAs. For example, the vaccinia-virus E3L protein can bind and sequester dsRNA to evade host immune responses. The E3L protein encodes a Z-DNA and a dsRNA binding domains that bind to Z-form nucleic acids or dsRNA, respectively. Here we developed recombinant E3L proteins to detect dsRNA and Z-dsRNA generated from viral infections or endogenous cellular mutations. We demonstrate that the E3L recombinant protein specifically detects A-dsRNA generated from +ssRNA viruses but not-RNA viruses. We observe that among various virus infections assayed, only the influenza A virus generates Z-RNA that can be detected by anti-Z-NA antibody but not by the E3L recombinant protein containing the Z-DNA domain. The E3L recombinant protein can also detect endogenous dsRNA in PNPT1 or SUV3L1 knockout cells. Together we concluded that A-dsRNA can be produced and detected from viruses with +ssRNA genomes but not-RNA genomes, and Z-dsRNA can be produced and detected from influenza A virus.ImportanceThe detection of dsRNAs, which exist in the A-dsRNA or Z-RNA conformation, is important for the induction of innate immune responses. dsRNA are generated during a virus infection due to virus replication, or can accumulate to genetic mutations. We engineered recombinant vaccinia virus E3L protein that can detect A-dsRNA generated during infection with a positive-sense RNA genome virus but not a negative-sense RNA genome virus. Infection with influenza A virus generates Z-RNA that can be detected with an anti-z-antibody but not the E3L recombinant protein. The E3L recombinant protein also detects endogenous dsRNA in PNPT1 or SUV3L knockout cells. These findings highlight important characteristics of dsRNA structure and detection.
Systematic Profiling of Ale Yeast Protein Dynamics across Fermentation and Repitching
Authors: Garge Riddhiman K. , Geck Renee C. , Armstrong Joseph O. , Dunn Barbara , Boutz Daniel R. , Battenhouse Anna , Leutert Mario , Dang Vy , Jiang Pengyao , Kwiatkowski Dusan , Peiser Thorin , McElroy Hoyt , Marcotte Edward M. , Dunham Maitreya J. 
Published: September 2023

AbstractStudying the genetic and molecular characteristics of brewing yeast strains is crucial for understanding their domestication history and adaptations accumulated over time in fermentation environments, and for guiding optimizations to the brewing process itself.Saccharomyces cerevisiae(brewing yeast) is amongst the most profiled organisms on the planet, yet the temporal molecular changes that underlie industrial fermentation and beer brewing remain understudied. Here, we characterized the genomic makeup of aSaccharomyces cerevisiaeale yeast widely used in the production of Hefeweizen beers, and applied shotgun mass spectrometry to systematically measure the proteomic changes throughout two fermentation cycles which were separated by 14 rounds of serial repitching. The resulting brewing yeast proteomics resource includes 64,740 protein abundance measurements. We found that this strain possesses typical genetic characteristics ofSaccharomyces cerevisiaeale strains and displayed progressive shifts in molecular processes during fermentation based on protein abundance changes. We observed protein abundance differences between early fermentation batches compared to those separated by 14 rounds of serial repitching. The observed abundance differences occurred mainly in proteins involved in the metabolism of ergosterol and isobutyraldehyde. Our systematic profiling serves as a starting point for deeper characterization of how the yeast proteome changes during commercial fermentations and additionally serves as a resource to guide fermentation protocols, strain handling, and engineering practices in commercial brewing and fermentation environments. Finally, we created a web interface (https://brewing-yeast-proteomics.ccbb.utexas.edu/) to serve as a valuable resource for yeast geneticists, brewers, and biochemists to provide insights into the global trends underlying commercial beer production.
Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images - Evaluation of bone mechanics
Authors: Soar Peter , Tozzi Gianluca 
Published: September 2023

AbstractExperimental measurement of displacement and strain fields using techniques such as digital volume correlation (DVC) from in situ X-ray computed tomography (XCT) has notably advanced the understanding of bone mechanics from organ to tissue level. Being experimental in nature, DVC output has been often employed to validate finite element (FE) models of bone improving their predictive ability. Despite the excellent results achieved, these techniques are complex, time consuming, potentially affecting tissue mechanical properties, and their predictive ability requiring prior knowledge of material properties. The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt and retained. Here we propose a novel data-driven image mechanics (D2IM) approach based on feed forward convolutional neural network (CNN) that learns from DVC displacement fields of vertebrae, predicting displacement and strain fields for undeformed XCT images. D2IM successfully predicted all displacement fields, particularly the one for the z loading axis (w), where high correlation (R2=0.93) and minimal error (as low as less than 1μm) were found when comparing measured against predicted displacements. The predicted axial strain field in z (εzz) was also consistent in distribution with the measured one, displaying generally reduced errors (as low as few tens of με) in the regions within the vertebral body where the effect of border outliers was minimal. This is the first study using experimental full-field measurements on bone structures from DVC to inform DL-based model such as D2IM, which represents a major contribution in the prediction of displacement and strain fields only based on the greyscale content of undeformed XCT images. The future development of D2IM will incorporate a wider range of structures and loading scenarios for accurate prediction of physical fields in both hard and soft tissues, aiming at clinical translation for improved diagnostics.
Exploring logistics service providers for small and medium-sized enterprises and large corporations: benefits and challenges
Authors: Alkaabi Khaula 
Published: September 2023

Purpose
The purpose of this study is to examine the benefits and challenges of using logistics service providers (LSPs) for small and medium-sized enterprises (SMEs) and large corporations.

Design/methodology/approach
This study uses the focus group interview method with eight LSP companies of varying sizes in the UAE. The aim is to obtain detailed insights into the advantages and obstacles associated with using LSPs.

Findings
The interview results reveal differences in the services and payment options offered by large and small-medium-sized LSPs, leading to varying impacts on SMEs. Additionally, both large and small-medium-sized LSPs encounter challenges in delivering services to SMEs, including sustaining logistic excellence in a competitive market, meeting the high customer expectations from SMEs and large enterprises, difficulty in recruiting skilled and competent employees and high costs of business technology.

Research limitations/implications
This study is limited to the UAE context and the perspectives of eight LSP companies. The findings may not be generalizable to other regions or industries.

Practical implications
The findings of this research provide valuable insights for SMEs and large corporations considering the use of LSPs. Understanding the benefits and challenges associated with outsourcing logistics services can assist in making informed decisions and developing effective collaborations with LSPs.

Originality/value
This research contributes to the existing literature by specifically examining the benefits and challenges of using LSPs for SMEs and large corporations. This study provides a comprehensive analysis of the factors that influence logistics outsourcing decisions and highlights the unique challenges faced by LSPs and SMEs in the context of the UAE.
Privacy in hospitality: managing biometric and biographic data with immersive technology
Authors: Liyanaarachchi Gajendra , Viglia Giampaolo , Kurtaliqi Fidan 
Published: September 2023

Purpose
This study aims to investigate the implications, risks and challenges of data privacy due to the use of immersive technology in the hospitality industry.

Design/methodology/approach
The authors adopt a mixed-method approach. Study 1 is a focus group. The authors then provide external and ecological validity with a field experiment conducted with 139 hotel clients at a three-star continental European hotel.

Findings
Collecting biometric data results in unbalanced privacy compared to biographic data, as it diminishes individuals’ control over their data and grants organizations absolute power. This unbalanced privacy directly influences consumers’ willingness to disclose information, affecting their choice of hotels and access to services.

Practical implications
Hotels should redesign their strategies to accommodate heightened privacy risks with biometric data. This can be obtained by introducing systems that foster customer confidence in data usage and facilitate customers’ willingness to disclose biometrics through immersive technology or biographic data.

Originality/value
This study introduces unbalanced privacy as a unique state due to sharing biometric data. The authors propose a novel doctrine, the uncontrollable privacy paradox, which is a shift from the privacy paradox. The uncontrollable privacy paradox addresses the unbalanced privacy envisaged through consumer powerlessness in data management. This research addresses the literature gap on the privacy paradox by offering a broader perspective, including business, industry and mixed reality considerations.
A study to forecast healthcare capacity dynamics in the wake of the COVID-19 pandemic
Authors: Patil Anchal , Shardeo Vipulesh , Madaan Jitender , Dwivedi Ashish , Paul Sanjoy Kumar 
Published: September 2023

PurposeThis study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.Design/methodology/approachThis study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.FindingsThe results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.Practical implicationsThe models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.Originality/valueThe study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.
Conflict management strategies and their relationships with exchange performance in supply chains
Authors: Huo Baofeng , He Huan , Tian Min 
Published: September 2023

PurposeDeveloping appropriate conflict management strategies (CMSs) is important for a firm to achieve better relationships with its supply chain partners. However, the literature has rarely considered how firms may simultaneously adopt various CMSs to address interfirm conflicts. Accordingly, this study aims to identify manufacturers' CMS archetypes with their main suppliers based on interfirm interdependence structure, further examining the relationship between various CMS archetypes and exchange performance.Design/methodology/approachFirst, the authors theoretically propose a manufacturer's CMS archetypes configured with Rahim's five CMSs based on interfirm interdependence structure. Second, cluster analysis with data from 200 Chinese manufacturers is used to generate a manufacturer's actual CMS archetypes. Third, the authors analyze the relationship between interfirm interdependence structure and Rahim's five CMSs as well as that with the new configured CMS archetypes. Finally, the authors use Analysis of Variance (ANOVA) to compare exchange performance disparities among manufacturers using different CMS archetypes.FindingsFirst, cluster analysis results show that three archetypes – cooperative, competitive and cooperative-competitive CMS – emerge during interfirm conflict management. Second, regression analysis shows how interfirm interdependence structure can affect manufacturers' choice of different CMSs and CMS archetypes. Third, ANOVA results indicate that when addressing interfirm conflicts, the strong cooperative, strong competitive and strong cooperative-competitive CMS archetypes can help manufacturers get good relationship satisfaction with main suppliers. Regarding supplier opportunism, while both strong cooperative and strong competitive CMS archetypes are effective at restraining opportunism, the cooperative-competitive CMS archetype may trigger higher levels of supplier opportunism.Originality/valueThis study enriches the interfirm relationship management literature and provides insights for manufacturers to better address interfirm conflicts.
Assessment of critical success factors, barriers and initiatives of total productive maintenance (TPM) in selected Ethiopian manufacturing industries
Authors: Gelaw Mulatu Tilahun , Azene Daniel Kitaw , Berhan Eshetie 
Published: September 2023

PurposeThis research aims to investigate critical success factors, barriers and initiatives of total productive maintenance (TPM) implementation in selected manufacturing industries in Addis Ababa, Ethiopia.Design/methodology/approachThis study built and looked into a conceptual research framework. The potential barriers and success factors to TPM implementation have been highlighted. The primary study techniques used to collect relevant data were a closed-ended questionnaire and semi-structured interview questions. With the use of SPSS version 23 and SmartPLS 3.0 software, the data were examined using descriptive statistics and the inferential Partial Least Square Structural Equation Modeling (PLS-SEM) techniques.FindingsAccording to the results of descriptive statistics and multivariate analysis using PLS-SEM, the case manufacturing industries' TPM implementation initiative is in its infancy; break down maintenance is the most widely used maintenance policy; top managers are not dedicated to the implementation of TPM; and there are TPM pillars that have been weakly and strongly addressed by the case manufacturing companies.Research limitations/implicationsThe small sample size is a limitation to this study. It is therefore challenging to extrapolate the research findings to other industries. The only manufacturing KPI utilized in this study is overall equipment effectiveness (OEE). It is possible to add more parameters to the manufacturing performance measurement KPI. The relationships between TPM and other lean production methods may differ from those observed in this cross-sectional study. Longitudinal experimental studies and in-depth analyses of TPM implementations may shed further light on this.Practical implicationsDefining crucial success factors and barriers to TPM adoption, as well as identifying the weak and strong TPM pillars, will help companies in allocating their scarce resources exclusively to the most important areas. TPM is not a quick solution. It necessitates a change in both the company's and employees' attitude and their values, which takes time to bring about. Hence, it entails a long-term planning. The commitment of top managers is very important in the initiatives of TPM implementation.Originality/valueThis study is unique in that, it uses a new conceptual research model and the PLS-SEM technique to analyze relationships between TPM pillars and OEE in depth.
The impact of inclusive leadership on innovative work behavior: a mediated moderation model
Authors: AlMulhim Abdullah Fahad , Mohammed Sanaa Mostafa 
Published: September 2023

PurposeApplicable to telecom companies operating in Saudi Arabia, this study aims to investigate the mediating role of workplace dignity (WD) in the relationship between inclusive leadership and innovative work behavior (IWB) as well as the moderate role of workplace inclusion (WI) in said relationship.Design/methodology/approachA total of 364 telecom companies in Saudi Arabia participated in the survey study. SmartPLS was employed to evaluate the data and test the research variables.FindingsAccording to this study, inclusive leadership has a favorable impact on IWB. Additionally, the study concluded that inclusive leadership enhances WD. Furthermore, the authors discovered that WD has a favorable impact on IWB. The findings showed that the association between inclusive leadership and IWB is mediated by WD. Finally, WI has a statistically positive moderating effect between WD and IWB on the moderation side of the analysis.Originality/valueThis study is the first to consider WD as a mediator in the relationship between inclusive leadership and IWB. Examining WI's role as a moderator also deepens the authors' comprehension of the connection between WD and IWB.
The Politics of England: National Identities and Political Englishness
Authors: Denham John , Mckay Lawrence 
Published: September 2023

AbstractOver two decades, voters who emphasised their English identity played an influential role in the rise of UKIP and the Brexit Party, the Brexit referendum and the election of Conservative governments—a trend overlooked in most electoral analyses. Using twenty years of data from the British Election Study and British Social Attitudes Survey, as well as recent original surveys, the article explores the evolving political behaviour of national identity groups. It finds that ‘more English’ and ‘more British’ identifiers increasingly voted for different parties. The analysis also identifies growing differences in the demographics, social values and immigration attitudes of these groups, which descriptive and regression analysis suggests may underpin these divergent political behaviours. However, a fuller understanding of electoral behaviour must take account of ideas of national democracy and sovereignty. The electoral impact of both the characteristics of English identifying voters and ideas associated with English identity constitute ‘political Englishness’.
Rare primary angiitis of the central nervous system affecting the clivus: A case report
Authors: Sun Shujuan , Wan Yuzhu , Ji Hongzhi , Shi Li 
Published: September 2023

AbstractDiseases involving the clivus are highly variable, and the incidence of each disease is rare. Primary central nervous system vasculitis (PACNS) is a rare disease with very heterogeneous clinical manifestations, its diagnosis is often challenging, and histopathology is the gold standard. We report a patient with PACNS of the clivus, with a 1‐month history of headache and diplopia, who was misdiagnosed as having a tumor of the clivus during prior treatment, due to computed tomography findings of clivus occupation and bone destruction. Endoscopic resection of the nasal clivus lesions was performed. Pathological examination revealed a small abscess with hemorrhage, necrosis, extensive infiltration of lymphocytes and plasma cells, and granulation tissue scar formation. After histopathological examination, the diagnosis was confirmed, and oral glucocorticoid and cyclophosphamide were commenced. This study is the first to report a tumor‐like PACNS, that occurs in the clivus, thereby enriching our understanding of PACNS.