bluuebunny/crossref_metadata_2025_split huggingface dataset:
Channel integration affects usage intention in food delivery platform services: the mediating effect of perceived value
Authors: Yen Yung-Shen 
Published: January 2022

PurposeStructural equation modeling was conducted, and a sample with 577 consumers was investigated.Design/methodology/approachBased on the stimulus–organism–response (SOR) model, this study aims to explore how channel integration affects usage intention through perceived value in food delivery platform (FDP) services. Moreover, the author also examines the moderating effects of personal innovativeness and experience on the relationships in the model.FindingsThe study found that channel integration affects usage intention through perceived usefulness, perceived enjoyment and perceived price. Moreover, the moderating effects of personal innovativeness and experience are both significant in the model.Research limitations/implicationsThis study found that perceived usefulness, perceived enjoyment and perceived price are three major values influencing the relationship between channel integration and usage intention in FDP services. Moreover, for consumers with high personal innovativeness, perceived usefulness, perceived enjoyment, social image and perceived risk affecting usage intention will be weaker than for consumers with low personal innovativeness. However, for highly experienced consumers, perceived usefulness, perceived enjoyment and perceived price affecting usage intention will be stronger than for less experienced consumers.Practical implicationsThis study suggests that practitioners should develop value-driven innovative services and activities by integrating various channels for customers. Moreover, they should segment consumers on the basis of different levels of personal innovativeness and experience to provide different strategies for increasing the intention to use the service.Originality/valueThis study advances the extant knowledge of the SOR model in the context of online-to-offline commerce.
Understanding electricity nightmare and health implications among slum dwellers in Ghana
Authors: Nkrumah Agyabeng Anthony , Ahwireng Patience Obeng , Bawole Justice Nyigmah , Mickson Michael Kwame , Ahenkan Albert 
Published: January 2022

PurposeThe purpose of the study was to examine the electricity challenges confronting slums in order to understand the health implications thereof.Design/methodology/approachThe study utilized purposive sampling techniques supported by the convenience sampling method within the context of qualitative research to select 30 interviewees of varying demographics for in-depth interviews.FindingsThe findings revealed that slums faced various forms of challenges that are attributable to lack of government support, stringent procedures and financial hardship, among others. The study also found that a lack of health education in the slums has resulted in health problems, such as skin diseases, stomach aches, cholera, typhoid and childbirth complications.Research limitations/implicationsThe outcome of this study cannot be generalized to represent the whole population of slums within context due to the qualitative approach.Practical implicationsThe study advanced the frontiers of slum literature to understand contextual issues that are important to policymakers and practitioners.Originality/valueThis study revealed a country-specific understanding of the challenges confronting slum dwellers in accessing electricity through the perspective of the two-factor theory of motivation.
Using AI and ML to predict shipment times of therapeutics, diagnostics and vaccines in e-pharmacy supply chains during COVID-19 pandemic
Authors: Mariappan Mahesh Babu , Devi Kanniga , Venkataraman Yegnanarayanan , Lim Ming K. , Theivendren Panneerselvam 
Published: January 2022

PurposeThis paper aims to address the pressing problem of prediction concerning shipment times of therapeutics, diagnostics and vaccines during the ongoing COVID-19 pandemic using a novel artificial intelligence (AI) and machine learning (ML) approach.Design/methodology/approachThe present study used organic real-world therapeutic supplies data of over 3 million shipments collected during the COVID-19 pandemic through a large real-world e-pharmacy. The researchers built various ML multiclass classification models, namely, random forest (RF), extra trees (XRT), decision tree (DT), multilayer perceptron (MLP), XGBoost (XGB), CatBoost (CB), linear stochastic gradient descent (SGD) and the linear Naïve Bayes (NB) and trained them on striped datasets of (source, destination, shipper) triplets. The study stacked the base models and built stacked meta-models. Subsequently, the researchers built a model zoo with a combination of the base models and stacked meta-models trained on these striped datasets. The study used 10-fold cross-validation (CV) for performance evaluation.FindingsThe findings reveal that the turn-around-time provided by therapeutic supply logistics providers is only 62.91% accurate when compared to reality. In contrast, the solution provided in this study is up to 93.5% accurate compared to reality, resulting in up to 48.62% improvement, with a clear trend of more historic data and better performance growing each week.Research limitations/implicationsThe implication of the study has shown the efficacy of ML model zoo with a combination of base models and stacked meta-models trained on striped datasets of (source, destination and shipper) triplets for predicting the shipment times of therapeutics, diagnostics and vaccines in the e-pharmacy supply chain.Originality/valueThe novelty of the study is on the real-world e-pharmacy supply chain under post-COVID-19 lockdown conditions and has come up with a novel ML ensemble stacking based model zoo to make predictions on the shipment times of therapeutics. Through this work, it is assumed that there will be greater adoption of AI and ML techniques in shipment time prediction of therapeutics in the logistics industry in the pandemic situations.
Assessing the impact of supply chain agility on operational performances-a PLS-SEM approach
Authors: Panigrahi Rashmi Ranjan , Jena Duryodhan , Meher Jamini Ranjan , Shrivastava Avinash K. 
Published: January 2022

Purpose
This study aims to examine the effect of supply chain agility (SCA) on operational performance (OP) measurements of steel manufacturing firms. It also investigates the role of cost efficiencies concerning enhance OPs.

Design/methodology/approach
The study is based on an experimental research design by collecting data from responses 398 responses of key officials of India’s steel manufacturing firms. Analyses are carried to explore this modern concept with the help of Smart-partial least square (PLS) version 3.3.2 with confirmatory factor analysis and PLS structural equational modelling.

Findings
SCA factor (SCAF) directly has influenced the firm’s OP. It also represents cost efficiencies that have partial mediation between the SCAF and OP. The impact of cost efficiencies on OPs is strongly significant as compared to the impact of SCAF on cost efficiencies.

Practical implications
Management teams in the manufacturing industry should stress the role of SCA as a comprehensive concept in responding to market needs in a volatile environment. SCA reflects one of its winning strategies in today’s dynamic and competitive world. Managers must thoroughly know the ramifications of agility to develop a mechanism for determining the procedures and identifying inequality in SC operation.

Originality/value
This study speaks explicitly about the linkage between SCAF, OP, CE. It is an addition to the existing theories of RBV. Enhancements in OP measurements, specifically performance and flexibility, will lead to better firm performance. study conceptualizing the complementing effects of SCA (IS capability) and OPs and second cost efficiencies play positive partial mediating effect in between the link. The achievement of SC agile is especially a critical approach to Boost customer satisfaction and differentiate market position.
Analysis of the color properties of papers subjected to different recycling numbers in electrophotographic (toner) printing
Authors: Yılmaz Ufuk 
Published: January 2022

Purpose
In this present study, electrophotographic printing is made on papers which are subjected to different recycling numbers, and this paper aims to examine the colour changes of this printing type.

Design/methodology/approach
Four-colour electrophotographic printing is carried out on adhering to the INGEDE 11p standard recycled papers four times under the same conditions. Colour measurements are made by means of electrophotographic printed colour scales printed on these recycled papers. Colour measurements are made with the X-Rite eXact spectrophotometer according to the ISO 13655:2017 standard. As a result of colour measurements, colour differences (ΔL′, ΔH′, ΔC′, ΔE00) of recycled papers are determined using some formulas.

Findings
According to the values obtained after four recycling, the highest ΔL′ value is found to be 4.80 yellow and the lowest 1.92 black. Again, according to the measurement results, it is determined that the highest ΔE00 is yellow colour with a value of 5.66, and lowest ΔE00 is black colour with a value of 1.98. In ΔH′, black colour is the highest value of 12.61, the lowest value with −2.05 is obtained in magenta colour. It was observed that the highest ΔC′ value is 2.98 in yellow, and the lowest value is −0.28 in black.

Originality/value
In the printing industry, sometimes customers want to monitor the colour differences in the printing by taking the L′a′b′ obtained values as a result of printing from the printing houses. If the colour differences exceed the tolerance values, then they can interfere with the printing. As a result of the calculations, colour changes in electrophotographic printing are observed with many parameters. This study can be a pioneer for the studies that can be done on this subject.
Feedforward control to suppress the leading edge bulge in photopolymerization-based additive manufacturing
Authors: Kozhevnikov Andrey , Kunnen Rudie P.J. , van Baars Gregor E. , Clercx Herman J.H. 
Published: January 2022

Purpose
This study aims to examine the feasibility of feedforward actuation of the recoater blade position to alleviate the resin surface non-uniformity while moving over deep-to-shallow transitions of submerged (already cured) geometric features.

Design/methodology/approach
A two-dimensional computational fluid dynamics (CFD) model has been used to determine optimized blade actuation protocols to minimize the resin surface non-uniformity. An experimental setup has been designed to validate the feasibility of the proposed protocol in practice.

Findings
A developed protocol for the blade height actuation is applied to a rectangular stair-like configuration of the underlying part geometry. The evaluation of the actuation protocol revealed the importance of two physical length scales, the capillary length and the size of the flow recirculation cell below in the liquid resin layer below the blade. They determine, together with the length scales defining the topography (horizontal extent and depth), the optimal blade trajectory. This protocol has also shown its efficiency for application to more complicated shapes (and, potentially, for any arbitrary geometry).

Practical implications
This study shows that incorporation of a feedforward control scheme in the recoating system might significantly reduce (by up to 80%) the surface unevenness. Moreover, this improvement of performances does not require major modifications of the existing architecture.

Originality/value
The results presented in this work demonstrate the benefits of the integration of the feedforward control to minimize the leading edge bulges over underlying part geometries in stereolithography.
AQP5 pathogenic variants induce palmoplantar keratoderma Bothnia type in two Chinese families
Authors: Wang Yumeng , Wang Jianbo , Li Yue , Pan Chaolan , Zhou Wange , Cao Qiaoyu , Yao Zhirong , Han Jianwen , Li Ming 
Published: January 2022

AbstractPalmoplantar keratoderma Bothnia type (PPKB) is caused by AQP5 pathogenic variants. The mechanisms of this disease and the genotype–phenotype correlation are still not fully understood. We report two pedigrees with PPKB caused by a recurrent variant c.367A>T and a novel variant c.530T>A in the AQP5 gene, respectively. We also summarize the cases with AQP5 variants identified, and found that there seemed to be no significant genotype–phenotype correlation of this disease. Moreover, we noticed that the epidermis of the patient had strong proliferation and immature differentiation potential as well as recognizing the possible important role of TRPV4 in the pathogenesis of PPKB.
Specificity and genetic polymorphism in the Vfm quorum sensing system of plant pathogenic bacteria of the genus Dickeya
Authors: Hugouvieux‐Cotte‐Pattat Nicole , Royer Monique , Gueguen Erwan , Le Guen Paul , Süssmuth Roderich D. , Reverchon Sylvie , Cociancich Stéphane 
Published: January 2022

SummaryThe Vfm quorum sensing (QS) system is preponderant for the virulence of different species of the bacterial genus Dickeya. The vfm gene cluster encodes 26 genes involved in the production, sensing or transduction of the QS signal. To date, the Vfm QS signal has escaped detection by analytical chemistry methods. However, we report here a strain‐specific polymorphism in the biosynthesis genes vfmO and vfmP, which is predicted to be related to the production of different analogues of the QS signal. Consequently, the Vfm communication could be impossible between strains possessing different variants of the genes vfmO/P. We constructed three Vfm QS biosensor strains possessing different vfmO/P variants and compared these biosensors for their responses to samples prepared from 34 Dickeya strains possessing different vfmO/P variants. A pattern of specificity was demonstrated, providing evidence that the polymorphism in the genes vfmO/P determines the biosynthesis of different analogues of the QS signal. Unexpectedly, this vfmO/P‐dependent pattern of specificity is linked to a polymorphism in the ABC transporter gene vfmG, suggesting an adaptation of the putative permease VfmG to specifically bind different analogues of the QS signal. Accordingly, we discuss the possible involvement of VfmG as co‐sensor of the Vfm two‐component regulatory system.
Improving learning outcomes in francophone Africa: More resources or improved efficiency?
Authors: Miningou Élisé Wendlassida , Pierre‐Louis Medjy , Bernard Jean‐Marc 
Published: January 2022

AbstractThe lack of resources is often highlighted as the most important correlate of poor learning outcomes in developing countries. However, increasing school resources may not necessarily drive better learning if resources are not properly translated into learning outcomes. This paper investigates the efficient utilization of school resources to promote learning. It tries to better understand the extent to which efficiency plays a role in the relationship between school resources and learning outcomes. Applying the Data Envelopment Analysis methodology, an efficiency analysis is performed using the PASEC 2014 learning assessment that covers 10 francophone West and Central African countries. The results show that the efficiency of school resource utilization varies across countries and across schools within the same countries. The relationship between some of the key elements of school resources and learning is weak in the least efficient schools. This suggests that resources allocated to the least efficient schools should consider first addressing inefficiency issues. While efficiency drivers may vary depending on the country's specific contexts, findings show that student absenteeism, community engagement in school management, teaching time and school environment seem to play a role in school efficiency.
Perfect versus possible: Kingdon's multiple streams analysis, politics and the National Disability Insurance Scheme
Authors: Perks Ben , Gilchrist David J. 
Published: January 2022

AbstractAs the National Disability Insurance Scheme (NDIS) moves towards full rollout, it is timely to describe the nature of the policy framework and environment driving outcomes in order to better respond to commentary and learnings. To do this, this paper assesses Kingdon's Multiple Streams Approach as an explanatory model which will allow us to untangle the spaghetti of competing interests, issues and drivers of policy. Notwithstanding observed limitations, the paper finds that the potential for a policy window provides a powerful guide for actors to organise, as well as a mechanism for compromise. Further, the model suggests that key political drivers dominated the emergence and development of the NDIS and have thus shaped its current state.
A multimodal approach to reducing post‐caesarean opioid use: a quality improvement initiative
Authors: Llarena Natalia C. , Krivanek Kevin , Yao Meng , Kim Daniel D. , Devarajan Jagan , Ayad Sabry , Chiang Eric 
Published: January 2022

AbstractObjectiveTo evaluate the impact of a QI initiative to reduce post‐caesarean opioid use.DesignRetrospective cohort study.SettingAcademic hospital in the USA.PopulationWomen over 18 years undergoing caesarean section.MethodsA quality improvement (QI) initiative titled Reduced Option for Opioid Therapy (ROOT) was implemented in women undergoing caesarean section. The intervention included implementation of a postpartum order set maximising the use of scheduled NSAIDs and acetaminophen. Additionally, nursing education promoted non‐opioid therapy as first‐line, with opioids reserved for breakthrough pain. Performance feedback was provided to nursing staff on a bimonthly basis. Post‐caesarean opioid use was reviewed in the 6 months before and after implementation of ROOT.Main outcome measuresThe primary outcome was the total morphine milligram equivalents (MME) consumed during the postpartum admission. Secondary outcomes included opioid use per postoperative day, the proportion of opioid‐free admissions, the percentage of patients discharged with a prescription for opioids, prescription size, and pain scores.ResultsFollowing implementation of ROOT, median inpatient opioid use decreased by more than 60%, from 75 to 30 MME per admission (P < 0.001). The proportion of opioid‐free admissions increased from 12.6% pre‐intervention to 30.7% post‐intervention (P < 0.001). Additionally, the median opioid dose prescribed at discharge decreased in the post‐intervention cohort, and the proportion of patients discharged without an opioid prescription increased. The reduction in opioids was associated with a slight decrease in patient‐reported pain scores.ConclusionsImplementation of ROOT significantly reduced opioid use while achieving comparable pain control.Tweetable abstractNursing education, and use of an order set prioritising non‐opioid analgesics reduces post‐caesarean opioid use.
Serum PlGF compared with PAPP‐A in first trimester screening for preterm pre‐eclampsia: Adjusting for the effect of aspirin treatment
Authors: Wright David , Tan Min Yi , O'Gorman Neil , Syngelaki Argyro , Nicolaides Kypros H. 
Published: January 2022

AbstractObjectiveTo compare the predictive performance for preterm‐pre‐eclampsia (PE) in first‐trimester screening by serum placental growth factor (PlGF) versus pregnancy associated plasma protein‐A (PAPP‐A), in combination with maternal risk factors, mean arterial pressure (MAP) and uterine artery pulsatility index (UtA‐PI), after adjustment for the effect of aspirin in women receiving this treatment.DesignNon‐intervention multicentre screening studies for PE in singleton pregnancies.SettingMaternity hospitals.PopulationTwo independent prospective studies of 8775 and 16 451 women with singleton pregnancies attending for routine assessment at 11+0–13+6 weeks' gestation.MethodsThe competing risks model was used to estimate patient‐specific risks of delivery with PE at <37 weeks' gestation based on maternal risk factors and combinations with MAP, UtA‐PI and either PlGF or PAPP‐A. McNemar's test was used to compare the detection rate (DR) of preterm‐PE of screening utilising PlGF versus PAPP‐A, after adjustments for the effects of aspirin.Main outcome measurePredictive performance for preterm‐PE.ResultsIn the combined data of 25 226 women, including 678 (2.7%) who developed PE, there were 194(0.8%) with preterm‐PE. Addition of PlGF improved the DR of preterm‐PE, at 10% screen positive rate, by 18.4% (95% CI 12.2–24.6) in screening by maternal risk factors, by 19.9% (95% CI 13.6–26.2) in screening by maternal factors and MAP, and by 7.0% (95% CI 2.3–11.6) in screening by maternal factors, MAP and UtA‐PI. PAPP‐A did not significantly improve the DR provided by any combination of biomarkers.ConclusionThe predictive performance of first trimester PlGF for preterm‐PE is superior to that of PAPP‐A.
Do citizens care about government debt? Evidence from survey experiments on budgetary priorities
Authors: BREMER BJÖRN , BÜRGISSER RETO 
Published: January 2022

AbstractEver since the Great Recession, public debt has become politicised. Some research suggests that citizens are fiscally conservative, while other research shows that they punish governments for implementing fiscal consolidation. This begs the question of whether and how much citizens care about debt. We argue that debt is not a priority for citizens because reducing it involves spending and tax trade‐offs. Using a split‐sample experiment and a conjoint experiment in four European countries, we show that fiscal consolidation at the cost of spending cuts or taxes hikes is less popular than commonly assumed. Revenue‐based consolidation is especially unpopular, but expenditure‐based consolidation is also contested. Moreover, the public has clear fiscal policy priorities: People do not favour lower debt and taxes, but they support higher progressive taxes to pay for more government spending. The article furthers our understanding of public opinion on fiscal policies and the likely political consequences of austerity.
The effect of the Seattle Police‐Free CHOP zone on crime: A microsynthetic control evaluation
Authors: Piza Eric L. , Connealy Nathan T. 
Published: January 2022

Research SummaryNightly confrontations occurred between protestors and officers outside of the Seattle Police Department's (SPD's) East precinct in the aftermath of George Floyd's murder. On June 8, 2020, the SPD abandoned the East precinct in an attempt to calm the situation. Following closure of the precinct, the Capitol Hill Occupation Protest (CHOP) took hold in the surrounding 6‐block area. The CHOP occupation lasted until July 1, 2020. Over this time period, CHOP operated as an autonomous zone, with police officers not patrolling and generally not responding to calls for police service within the area. We used the microsynthetic control group method to analyze the effect of CHOP on crime during the 24‐day occupation. Results indicate crime significantly increased in the CHOP zone, the encompassing two‐block area, and the overall East precinct service area.Policy ImplicationsThe current study found comparatively stronger effects than the general literature on depolicing. The significant crime increase is particularly noteworthy given the short time frame of the CHOP occupation and retreat of police from the area theoretically making it more challenging for crimes to be reported by citizens and/or proactively discovered by officers. This suggests that police abolition, the most extreme form of the police defunding movement, may significantly compromise public safety. Moving forward, a prudent policy solution may be to simultaneously support the evidence‐based crime prevention work of police and community‐based institutions. Such an approach may achieve currently desired policing reforms without risking crime spikes that can result from drastic reductions of police presence. Wide‐scale adoption of evidence‐based policing may provide a vehicle for such meaningful, long‐term reform.