bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nudging eyewitnesses: the effect of social influence on recalling witnessed events
Authors: Luther Kirk , Keeping Zak , Snook Brent , de Almeida Hannah , Fahmy Weyam , Smith Alexia , Han Tianshuang 
Published: August 2023

Purpose
The purpose of this study is to contribute to the literature on information elicitation. The authors investigated the impact of social influence strategies on eyewitness recall performance. Specifically, the authors examined the effect of social influence techniques (Cialdini, 2007) on recall performance (Experiment 1) and conducted a follow-up experiment to examine the incremental effect of social proof on the report everything cognitive interview mnemonic (Experiment 2).

Design/methodology/approach
Participants watched a video depicting vandalism (Experiment 1: N = 174) or a verbal altercation (Experiment 2: N = 128) and were asked to recall the witnessed event. Experiment 1: Participants were assigned randomly to one of six conditions: control (open-ended prompt), engage and explain (interview ground rules), consistency (signing an agreement to work diligently), reciprocity (given water and food), authority (told of interviewer’s training) and social proof (shown transcript from an exemplar participant). Experiment 2: The authors used a 2 (social proof: present, absent) × 2 (report everything: present, absent) between-participants design.

Findings
Across both experiments, participants exposed to the social proof tactic (i.e. compared to a model exemplar) spoke longer and recalled more correct details than participants not exposed to the social proof tactic. In Experiment 2, participants interviewed with the report everything mnemonic also spoke longer, recalled more correct details, more incorrect details and provided slightly more confabulations than those not interviewed with the report everything mnemonic.

Originality/value
The findings have practical value for police investigators and other professionals who conduct interviews (e.g. military personnel, doctors obtaining information from patients). Interviewers can incorporate social proof in their interviewing practices to help increase the amount and accuracy of information obtained.
Lean manufacturing implementation in iron and steel industries: effect of wastes management on the production costs
Authors: Zaky Nasser , Ahmed Mohamed Zaky , Alarjani Ali , Attia El-Awady 
Published: August 2023

Purpose
This study aims to improve the market competitiveness of iron and steel manufacturers in developing countries by reducing their production costs.

Design/methodology/approach
The research methodology relies on a case study-based approach. The study relies on six steps. The first is the preparation, then the five steps of the six-sigma – define, measure, analyze, improve, control. The qualitative and quantitative data were considered. The qualitative analysis relies on the experts’ judgment of internal status. The quantitative analysis uses the job floor data from three iron and steel manufacturers. After collecting, screening and analyzing the data, the root causes of the different wastes were identified that increase production costs. Consequently, lean manufacturing principles and tools are identified and prioritized using the decision-making trial and evaluation laboratory method, and then implemented to reduce the different types of waste.

Findings
The main wastes are related to inventory, time, quality and workforce. The lean tools were proposed with the implementation plan for the discovered root causes. The performance was monitored during and after the implementation of the lean initiatives in one of the three companies. The obtained results showed an increase in some performance indicators such as throughput (70.6%), revenue from by-products (459%), inventory turnover (54%), operation availability (45%), and plant availability (41%). On the other hand, results showed a decrease of time delay (78%), man-hour/ton (52.4%) and downgraded products (63.3%).

Practical implications
The current case study findings can be utilized by Iron and Steel factories at the developing countries. In addition, the proposed lean implementation methodology can be adopted for any other industries.

Social implications
The current work introduces an original and practical road map to implement the lean six-sigma body of knowledge in the iron and steel manufacturers.

Originality/value
This work introduces an effective and practical case study-based approach to implementing the lean six-sigma body of knowledge in the iron and steel manufacturers in one of the underdevelopment countries. The consideration of the opinion of the different engineers from different sectors shows significant identification of the major problems in the manufacturing and utility sectors that lead to significant performance improvement after solving them.
The Double Jeopardy in high street footfall
Authors: Graham Charles , O'Rourke Grace , Khan Kamran Muhammad 
Published: August 2023

Purpose
Calls for empirical and theory-based outcome measures in the place marketing literature are made more pressing as policymakers manage post-COVID high street recovery. This study aims to evaluate how knowledge of repeat buying established in the consumer marketing domain might be adapted to benchmark place marketing effectiveness, applying the Law of Double Jeopardy to capture the predictable relationship between footfall and visit frequency on competing high streets.

Design/methodology/approach
The authors match footfall and survey data collected simultaneously on nine local high streets in one London borough to ask if a predictable Double Jeopardy relationship exists. The authors then test the theoretical assumptions of independence that underpin the Law in patterns of switching; the predictable distribution of regular, infrequent and new visitors; and the absence of user segmentation.

Findings
The authors observe that Double Jeopardy constrains behavioural outcomes, that a simple model fits high street footfall data well and that its theoretical assumptions are supported.

Originality/value
This paper makes several practical and theoretical contributions. The authors demonstrate a method to model expected repeat visit frequency from footfall density and elaborate footfall data into its frequency classes. The authors also locate the effects of loyalty over time within existing knowledge of spatial competition for high street patronage and demonstrate how place marketing insights can be derived from applications of this useful law.
The influence of knowledge-oriented leadership on business model innovation and open innovation: mediating role of absorptive capacity
Authors: Bashir Makhmoor , Pradhan Sudeepta 
Published: August 2023

PurposeThis paper aims to explore the importance of knowledge-oriented leadership in the context of business model innovation (BMI) and open innovation. This study also seeks to explore the existence of a mediating effect of absorptive capacity.Design/methodology/approachData were collected using a survey, from the information technology industry in India. The relationships proposed in the conceptual framework were tested with structural equation modeling (SEM) using Smart partial least squares (PLS) 3.FindingsThe findings highlight a positive influence of knowledge-oriented leadership on BMI and open innovation. Results also revealed that open innovation can facilitate BMI. Additionally, findings highlighted the mediating role of absorptive capacity in these relationships.Practical implicationsThis study suggests that businesses should employ and value leaders who can create, transform, store and use knowledge resources. Companies that employ such leaders encourage the creation and exchange of new knowledge, which consequently would lead to the successful exploration of innovative approaches. A culture of open innovation would help managers break down barriers, overcome inertia and continuously test new business models to generate revenues, increase value, enhance organizational effectiveness and ultimately gain competitive advantage.Originality/valueThis study is one of the first to empirically contribute to the role of knowledge-oriented leadership and BMI from the perspective of open innovation.
How do organizational performances vary between early adopters and late adopters of Quality 4.0? An exploratory qualitative study
Authors: Antony Jiju , Swarnakar Vikas , Sony Michael , McDermott Olivia , Jayaraman Raja 
Published: August 2023

PurposeThis study aims to investigate how early and late adopters of Quality 4.0 (Q4.0) differ in terms of organizational performance.Design/methodology/approachThe authors employed a grounded theory approach for interviewing 15 senior managers from diverse organizational contexts throughout the globe as part of their qualitative research methodology.FindingsThe research's findings were analyzed based on four types of performance: operational, financial, environmental and social. It was clear that early adopters of Q4.0 were sustaining superior performance in quality over time, even though their investment was significantly higher than that of late adopters. From a financial viewpoint, it was evident that early adopters had a competitive edge over their rivals compared to late adopters. Late adopters have utilized the notion of the circular economy (CE) more effectively than many early adopters in the context of environmental performance in order to establish a green economy and sustainable development.Research limitations/implicationsAlthough the results of the interview indicate that Q4.0 is having some positive effects on social performance, in the authors' view, it is still least understood from an empirical standpoint.Originality/valueThe study's findings assist organizations in comprehending the performance differences between Q4.0 early adopters and late adopters.
Recurrent summer drought affects biomass production and community composition independently of snowmelt manipulation in alpine grassland
Authors: Möhl Patrick , Vorkauf Maria , Kahmen Ansgar , Hiltbrunner Erika 
Published: August 2023

Abstract

Earlier snowmelt and more frequent summer drought due to climate warming are considered particularly influential for extratropical alpine plants, which are adapted to a short growing season and high water availability.

Here, we explored the combined effects of the two drivers with a field experiment in late‐successional alpine grassland in the Swiss Alps (2500 m a.s.l.) over 6–7 years. We advanced and delayed snowmelt by removing and adding snow to experimental plots prior to natural snowmelt for 7 years and combined this treatment with 5 and 10 weeks of summer drought for 6 years. We measured plant biomass formation, community composition and ecosystem respiration, and monitored soil moisture as well as soil temperature.

Natural snowmelt dates varied by 42 days across years. Snow manipulations advanced and delayed snowmelt by 4.6 and 8.0 days on average but did not affect annual growth (peak biomass) above‐ nor below‐ground. Interactions between snowmelt and drought were nonsignificant, implying that drought effects were independent of snowmelt.

Drought reduced total annual above‐ground biomass in the 10‐week treatment by 16 ± 7% across years, while the 5‐week treatment lowered biomass in the last year only. This decline in biomass was accountable to high drought sensitivity of biomass production in a few forb and graminoid species. In contrast, drought did not affect the biomass production of the dominant sedge Carex curvula, whose proportion of total plant cover increased from 36% in controls to 48% in 10‐week drought.

Below‐ground biomass slightly increased under drought (5‐week treatment only), resulting in a higher root mass fraction (both treatments). Despite continued root formation, drought reduced ecosystem respiration by 13%–23% per season, assessed nine times during three growing seasons. Since more than 85% of ecosystem respiration stemmed from below‐ground activities and roots continued growing under drought, we assume that soil microorganisms were heavily constrained by the drought treatments.

Synthesis. We conclude that snowmelt timing is unrelated to productivity, while recurrent drought will shift biomass allocation from shoots to roots in this typical alpine grassland, with potential implications for grazers but also for nutrient and carbon cycling. Species‐specific drought‐sensitivity will considerably alter community composition under more frequent drought.
Phenotypic diversity influenced by a transposable element increases productivity and resistance to competitors in plant populations
Authors: Latzel Vít , Puy Javier , Thieme Michael , Bucher Etienne , Götzenberger Lars , de Bello Francesco 
Published: August 2023

Abstract

An accumulating body of evidence indicates that natural plant populations harbour a large diversity of transposable elements (TEs). TEs, which are especially mobilized under genomic and/or environmental stress, provide genetic and epigenetic variation that can substantially translate into a diversity of plant phenotypes within populations. However, it remains unclear what the potential ecological effects of diversity in TEs within an otherwise genetically uniform population are in terms of phenotypic diversity's effects on coexistence and ecosystem functioning.

Using Arabidopsis thaliana as a proof‐of‐concept model, we assembled populations from individuals differing in the number and positions of ONSEN retrotransposon and tested whether the increasing diversity created by the ONSEN retrotransposon increased the phenotypic diversity of populations and enhanced their functioning under different environmental conditions.

We demonstrate that TE‐generated variation creates differentiation in ecologically important traits connected to different axes of the plant ‘economics’ spectrum. In particular, we show that Arabidopsis populations with increasing diversity of individuals differing in the ONSEN retrotransposon had higher phenotypic and functional diversity in resource use‐related traits. Such increased diversity enhanced population productivity and reduced the performance of interspecific competitors.

Synthesis. We conclude that TE‐generated phenotypic and functional diversity can have similar effects on ecosystems as are usually documented for other biological diversity effects. The results of our experiment open up new fields of investigation, highlighting the ecological relevance of unexplored sources of phenotypic variability and hopefully inspiring functional trait ecologists and evolutionary biologists to begin exploring new questions at the intersection of their fields.
Consequences of affective polarization: Avoidance, intolerance and support for violence in the United Kingdom and Norway
Authors: BERNTZEN LARS ERIK , KELSALL HAYLEE , HARTEVELD EELCO 
Published: August 2023

AbstractAffective polarization – that is, antipathy towards political opponents – sits high on the academic and political agenda. This is because it is thought to have a multitude of damaging consequences, both for how citizens view and approach each other and for how they relate to the political system. This study investigates some of the most mentioned and worrying potential consequences of affective polarization at the individual level. Zooming in on Europe, it sheds light on the substantive relationship between partisan antipathy and three kinds of norm‐breaking escalation in the form of avoidance, intolerance and support for violence against party supporters. Methodologically, it unpacks the affective component of polarization, testing to what extent the traditional feeling thermometer performs as a predictor of these three potential outcomes. It then tests alternative expectations of the antecedents of such escalation derived from the intergroup emotions’ literature and the study of political radicalization. This is done using a broad range of both established and new survey items fielded in nationally representative panels between May and November 2020 in two contexts that score relatively low (Norway) and high (the United Kingdom) on affective polarization. They reveal that avoidance, intolerance and support for political violence can be validly measured, and are manifest, in these two European countries, but that they are only weakly correlated to mere dislike of the outgroup. Instead, more severe forms of norm‐breaking escalation depend on the specific nature of the discrete emotions induced beyond dislike (anger, fear or disgust) and are rooted in factors such as relative deprivation, Manicheanism, and dark personality traits (psychopathy, Machiavellianism and narcissism). We discuss the implications for the way polarization is theorized and measured.
A multivariate approach to understanding the genetic overlap between externalizing phenotypes and substance use disorders
Authors: Poore Holly E. , Hatoum Alexander , Mallard Travis T. , Sanchez‐Roige Sandra , Waldman Irwin D. , Palmer Abraham A. , Harden K. Paige , Barr Peter B. , Dick Danielle M. 
Published: August 2023

AbstractSubstance use disorders (SUDs) are phenotypically and genetically correlated with each other and with other psychological traits characterized by behavioural under‐control, termed externalizing phenotypes. In this study, we used genomic structural equation modelling to explore the shared genetic architecture among six externalizing phenotypes and four SUDs used in two previous multivariate genome‐wide association studies of an externalizing and an addiction risk factor, respectively. We first evaluated five confirmatory factor analytic models, including a common factor model, alternative parameterizations of two‐factor structures and a bifactor model. We next explored the genetic correlations between factors identified in these models and other relevant psychological traits. Finally, we quantified the degree of polygenic overlap between externalizing and addiction risk using MiXeR. We found that the common and two‐factor structures provided the best fit to the data, evidenced by high factor loadings, good factor reliability and no evidence of concerning model characteristics. The two‐factor models yielded high genetic correlations between factors (rgs ≥ 0.87), and between the effect sizes of genetic correlations with external traits (rg ≥ 0.95). Nevertheless, 21 of the 84 correlations with external criteria showed small, significant differences between externalizing and addiction risk factors. MiXer results showed that approximately 81% of influential externalizing variants were shared with addiction risk, whereas addiction risk shared 56% of its influential variants with externalizing. These results suggest that externalizing and addiction genetic risk are largely shared, though both constructs also retain meaningful unshared genetic variance. These results can inform future efforts to identify specific genetic influences on externalizing and SUDs.
Prelimbic cortex dynorphin/κ opioid receptor system modulates methamphetamine‐induced cognitive impairment
Authors: Cheng Ying‐jie , Deng Ying‐zhi , Deng Di , Wu Man‐qing , Chai Jing‐rui , Wang Yu‐jun , Liu Jing‐gen , Zhao Min 
Published: August 2023

AbstractChronic exposure to methamphetamine (METH) causes severe and persistent cognitive impairment. The present study aimed to investigate the role of dynorphin/κ opioid receptor (KOR) system in the development of METH‐induced cognitive impairment. We found that mice showed significant cognitive impairment in the novel object recognition test (NOR) following daily injections of METH (10 mg/kg) for seven consecutive days. Systemic blockade of KOR prevented METH‐induced cognitive impairment by pretreatment of the selective KOR antagonist norBNI (10 mg/kg, i.p.) or KOR deletion. Then, significant increased dynorphin and KOR mRNA were observed exclusively in prelimbic cortex (PL) other than infralimbic cortex. Finally, microinjection with norBNI into PL also improved cognitive memory in METH‐treated mice using NOR and spontaneous alternation behaviour test. Our results demonstrated that dynorphin/KOR system activation in PL may be a possible mechanism for METH‐induced cognitive impairment and shed light on KOR antagonists as a potential neuroprotective agent against the cognitive deficits induced by drug abuse.
Transient increase in platelet counts associated with COVID‐19 infection during TPO‐RA as the second‐line treatment in children with ITP
Authors: Wang Zhifa , Cheng Xiaoling , Wang Nan , Meng Jinxi , Ma Jingyao , Chen Zhenping , Wu Runhui 
Published: August 2023

SummaryThe thrombopoietin receptor agonists (TPO‐RA) were recommended for primary immune thrombocytopenia (ITP) during the pandemic of COVID‐19. However, the incidence of thrombocytosis and thrombosis was sporadically reported in the chronic immune thrombocytopenia (CITP) patients receiving TPO‐RA during the COVID‐19 infection. With the local prevalence of COVID‐19 in December 2022 in the Beijing area, we got more powerful evidence about the change in platelet (Plt) counts associated with COVID‐19 infection. A single‐centre observational cohort study was performed from the beginning of December 2022 to the end of February 2023 to enrol CITP children treated with TPO‐RA alone as the second‐line treatment and suffering from the COVID‐19 infection in December 2022. The Plt counts before, during and after COVID‐19 infection were collected. In total, 67 (34 males and 33 females) patients with 8.10 (2.15, 15.70) years of age were enrolled. Sixty‐three patients who had responded to the TPO‐RA showed a transient increase in Plt counts after the infection of COVID‐19. The time of starting to increase was on Day 3 (2, 7), and to the peak level on Day 14 (7, 19) of infection with the peak Plt count was 289 (88, 1974) × 109/L. With at least 2 months observation period from COVID‐19 infection, the Plt counts of 100% (63/63) patients declined to the baseline on Day 25 (14, 41). The phenomenon of transient increase in Plt counts has been shown in the CITP children who responded to TPO‐RA when suffering from COVID‐19 infection.
Phenotypic subtypes of leukaemic transformation in chronic myelomonocytic leukaemia
Authors: Montalban‐Bravo Guillermo , Kanagal‐Shamanna Rashmi , Li Ziyi , Hammond Danielle , Chien Kelly , Rodriguez‐Sevilla Juan Jose , Sasaki Koji , Jabbour Elias , DiNardo Courtney , Takahashi Koichi , Short Nicholas , Issa Ghayas C. , Pemmaraju Naveen , Kadia Tapan , Ravandi Farhad , Daver Naval , Borthakur Gautam , Loghavi Sanam , Pierce Sherry , Bueso‐Ramos Carlos , Kantarjian Hagop , Garcia‐Manero Guillermo 
Published: August 2023

SummaryChronic myelomonocytic leukaemia (CMML) is a haematological disorder with high risk of transformation to acute myeloid leukaemia (AML). To characterize the phenotypic and genomic patterns of CMML progression, we evaluated a cohort of 189 patients with AML evolving from CMML. We found that transformation occurs through distinct trajectories characterized by genomic profiles and clonal evolution: monocytic (Mo‐AML, 53%), immature myeloid (My‐AML, 43%) or erythroid (Ery‐AML, 2%). Mo‐AML, characterized by expansion of monoblasts and promonocytes (low CD34, CD117 expression; high CD14, CD33, CD56 and CD64 expression), were defined by SRSF2, TET2 and RAS pathway mutation co‐dominance and were more likely to evolve from SRSF2‐TET2 co‐mutant CMML through emergence/expansion of RAS pathway mutant clones. Conversely, My‐AML, characterized by expansion of immature myeloid blasts (high frequency of CD34, CD38, CD117; low frequency of CD14, CD64 and CD56 expression) were less likely to exhibit SRSF2‐TET2 co‐mutations or RAS pathway mutations and had higher frequency of CEBPA mutations. Ery‐AML was defined by complex karyotypes and TP53 mutations. A trend towards improved OS and EFS with hypomethylating agent‐venetoclax combination was observed in My‐AML, but not Mo‐AML. These findings define distinct progression of CMML and set the basis for future studies evaluating the role of phenotype‐specific therapeutics.