bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lymphocyte activation gene 3 (Lag3) supports Foxp3+Treg cell function by restraining c-Myc-dependent aerobic glycolysis
Authors: Kim Dongkyun , Kim Giha , Yu Rongzhen , Lee Juyeun , Kim Sohee , Qiu Kevin , Montauti Elena , Fang Deyu , Chandel Navdeep S. , Choi Jaehyuk , Min Booki 
Published: February 2023

AbstractLymphocyte activation gene 3 (Lag3) has emerged as the next-generation immune checkpoint molecule due to its ability to inhibit effector T cell activity. Foxp3+regulatory T (Treg) cells, a master regulator of immunity and tolerance, also highly express Lag3. While Lag3 is thought to be necessary for Treg cell-mediated regulation of immunity, the precise roles and underlying mechanisms remain largely elusive. In this study, we report that Lag3 is indispensable for Treg cells to control autoimmune inflammation. Utilizing a newly generated Treg cell specific Lag3 mutant mouse model, we found that these animals are highly susceptible to autoimmune diseases, suggesting defective Treg cell function. Genome wide transcriptome analysis further uncovered that Lag3 mutant Treg cells upregulated genes involved in metabolic processes. Mechanistically, we found that Lag3 limits Treg cell expression of Myc, a key regulator of aerobic glycolysis. We further found that Lag3-dependent Myc expression determines Treg cells’ metabolic programming as well as the in vivo function to suppress autoimmune inflammation. Taken together, our results uncovered a novel function of Lag3 in supporting Treg cell suppressive function by regulating Myc-dependent metabolic programming.
Motives, propensities and consistencies among Swedish consumers in relation to the food choice concept of clean eating
Authors: Edenbrandt Anna Kristina , Lagerkvist Carl-Johan 
Published: February 2023

PurposeThe purpose of this study is to explore how consumers apply clean-eating criteria to a range of food characteristics, and the extent to which individuals are consistent in how they apply clean-eating criteria across products. Further, this study investigates how the clean-eating approach relates to underlying food choice motives.Design/methodology/approachData were collected in a consumer survey (n = 666) in Sweden, where participants were prompted about the importance of a set of intrinsic food attributes of the “free-from” and “added” types, for three different food product types (bread, processed meat, ready meals). Data were analyzed using latent class cluster analysis, to explore segments of consumers that place similar importance to the food characteristics and hold similar food choice motives.FindingsClean eating can be described by two distinctly different attainment strategies: avoiding undesirable characteristics or by simultaneously approaching desirable characteristics. Notably, individuals who apply clean-eating criteria in their food choices strive for healthy, natural and environmentally friendly food, but the clean-by-approach strategy implies a stronger focus on personal health in the form of weight control.Originality/valueWhile claims and labels on food packages concerning clean eating are implemented by food manufacturers, it remains unregulated. This study provides information for future regulations on how consumers apply clean-eating criteria, and their motives thereof. Further, the results provide insights food manufacturers regarding motives for clean eating in different consumer segments.
The influence of Slovak consumer lifestyle on purchasing behaviour in the consumption of organic food
Authors: Jánská Michaela , Žambochová Marta , Kita Pavol 
Published: February 2023

PurposeHealth is an essential issue in the motivation to eat organic food. The aim of the study is to investigate the relationship if people who have a positive view of a healthy lifestyle (want to live healthy) have an influence on the tendency to buy organic food.Design/methodology/approachThe analysis of secondary data dealing with the issue was supplemented by primary data. In order to meet the main aim, a preliminary objective was set which was to determine the influence of socio-demographic factors on the recommended lifestyle. Specifically, the largest statistically significant difference in influence on healthy lifestyle was gender, followed by education and age. The survey was conducted in the period of January–May 2019 on a sample of 1,373 respondents from Slovakia.FindingsThe data was evaluated by means of selected specific statistical methods (Kruskal–Wallis test, Man-Whitney test and Decision tree methodology). The results of the research verified that the lifestyle of Slovak consumers has an influence on the consumption of organic products and that people who practise healthy eating buy organic food more often. Our research has shown that lifestyle is increasingly influencing consumer purchasing behaviour.Originality/valueThe results showed that today's healthy lifestyle increases the demand for healthy food among potential consumers. Furthermore, the presented results of our research in Slovakia could establish some basis for conducting similar research in other European countries.
The effect of organic growth and acquisitions on performance of retailing networks in an alternating external operating environment
Authors: Aggelopoulos Eleftherios , Lampropoulos Ioannis 
Published: February 2023

PurposeThis paper aims to investigate the impact of acquisition and organic growth on the operating efficiency and total factor productivity change of retailing networks.Design/methodology/approachThe assessment uses low-frequency data of newly opened stores and acquired stores of a large supermarket (S/M) network in Athens, for a period (financial year 2014) where the network began to refocus on its organic growth after a two-year period of deep recession (financial years 2012–2013). To evaluate the performance effects of both strategies, the authors employ the innovative benchmarking tool of bootstrap data envelopment analysis (DEA) for measuring operational efficiency and the Malmquist productivity index DEA approach for measuring productivity change over time.FindingsThe short-run evidence indicates that compared to organic growth, acquisitions lead to lower operating efficiency. However, this difference gradually converges over time as acquired stores show a higher rate of productivity compared to newly opened stores. The authors interpret this as a result of the smooth integration of the acquired chain store into the organizational structure of the existing store network given their significant similarities in terms of products and customers.Practical implicationsThe authors inform managers of store chains that during the process of organic growth, a general improvement in efficiency takes place while in the case of acquisitions, the required post-acquisition streamlining actions cause a short delay on the realization of efficiency gains. Therefore, managers should not take it for granted that acquisitions cause a long-term decrease in efficiency.Originality/valueThe study contributes to the literature on growth strategies and retailing performance in general, by offering new evidence regarding the comparative effect of the horizontal growth modes on the efficiency of store chains.
Horizontal logistics collaboration success factors: expectations versus reality
Authors: Badraoui Ismail , van der Lans Ivo A.M.C. , Boulaksil Youssef , van der Vorst Jack G.A.J. 
Published: February 2023

PurposeThis study aims to compare the expectations of non-collaborating professionals and the actual opinions of collaborating professionals regarding success factors of horizontal logistics collaboration (HLC) and investigates the reasons behind the observed differences.Design/methodology/approachThis study employs a mixed-method approach. First, a survey is conducted to collect data from two samples representing collaborating and non-collaborating industry professionals. Second, confirmatory factor analysis (CFA) is used to compare the measurement models from the two samples and identify their similarities and differences. Third, a Delphi study is conducted to identify factors limiting collaborative behavior.FindingsThe results show that collaborating professionals exhibit lower levels of joint relationship efforts and trust than expected. This is primarily due to inadequate information sharing, poor collaboration formalization and the absence of a clear costs and benefits allocation mechanism.Practical implicationsThe findings indicate that, in HLC, managers should give high importance to facilitating timely and complete information exchange, putting in place an acceptable costs/benefits allocation mechanism, formalizing the collaboration and prioritizing integrity over competency when selecting partners.Originality/valueTo the best of the authors’ knowledge, this is the first study that shows the existence of differences between industry professionals' pre-collaboration expectations and the actual experiences in HLC. This is also the first study that points to the exact HLC enablers that fail in practice and the barriers responsible for it.
Improving cybersecurity skill development through visual programming
Authors: Glas Magdalena , Vielberth Manfred , Reittinger Tobias , Böhm Fabian , Pernul Günther 
Published: February 2023

Purpose
Cybersecurity training plays a decisive role in overcoming the global shortage of cybersecurity experts and the risks this shortage poses to organizations' assets. Seeking to make the training of those experts as efficacious and efficient as possible, this study investigates the potential of visual programming languages (VPLs) for training in cyber ranges. For this matter, the VPL Blockly was integrated into an existing cyber range training to facilitate learning a code-based cybersecurity task, namely, creating code-based correlation rules for a security information and event management (SIEM) system.

Design/methodology/approach
To evaluate the VPL’s effect on the cyber range training, the authors conducted a user study as a randomized controlled trial with 30 participants. In this study, the authors compared skill development of participants creating SIEM rules using Blockly (experimental group) with participants using a textual programming approach (control group) to create the rules.

Findings
This study indicates that using a VPL in a cybersecurity training can improve the participants' perceived learning experience compared to the control group while providing equally good learning outcomes.

Originality/value
The originality of this work lies in studying the effect of using a VPL to learn a code-based cybersecurity task. Investigating this effect in comparison with the conventional textual syntax through a randomized controlled trial has not been investigated yet.
Exploring the socio-economic attributes of financial inclusion in India: a decomposition analysis
Authors: Sethy Susanta Kumar , Mir Tariq Ahmad , Gopinathan R. , Joshi D. P. Priyadarshi 
Published: February 2023

PurposeThis paper examines India's socio-economic attributes and different financial dimensions of financial inclusion (FI).Design/methodology/approachThe paper uses a principal component analysis (PCA) to build indexes related to financial dimensions. It applies the logistics regression model and the Fairlie decomposition method to determine India's socio-economic and financial characteristics of FI.FindingsBased on the logistic regression, socio-economic factors like age, gender, marital status, level of education and religion have an impact on FI. The use of financial institutions has positively contributed to the probability of FI, while the low proximity of financial service providers retards the process of FI. Fairlie decomposition concludes regional disparity and gender disparity in FI; however, the rural–urban gap in FI is not captured by the variables included in the study. The main reasons for the discrepancy are lack of education, financial literacy, the proximity of financial service providers and lack of financial institutions.Originality/valueThis paper makes two important contributions: first, it presents a micro-level analysis of FI across the socio-demographic strata of India, and second, it demonstrates the regional, rural–urban and gender disparity in FI in India.
Health information behavior and related factors among Estonians aged ≥ 50 years during the COVID-19 pandemic
Authors: Paimre Marianne , Virkus Sirje , Osula Kairi 
Published: February 2023

PurposeThe purpose of the article is to introduce the outcomes of a study analyzing the relationships between willingness to use technology for health purposes, health information behavior (HIB), health behavior (HB) choices, readiness for COVID-19 vaccination, socioeconomic indicators and self-reported health among older adults aged = 50 years living in Estonia.Design/methodology/approachA cross-sectional survey was conducted among 501 people aged = 50 in Estonia in 2020, a month after the end of lockdown.FindingsThe results of the study indicate that the more recurrent the need for HI was (rho = 0.11, p < 0.05) and the more regularly one searched for it (rho = 0.14, p < 0.01), the more willing a person was to get vaccinated. Also, interest in digital applications corresponded to vaccination readiness (rho = 0.25, p < 0.001). However, this relationship did not emerge in the case of other HBs such as healthy eating and exercise. Differences in HIB should be taken into account when developing effective means of health communication designed especially for crisis situations.Originality/valueEstonia is known as one of the digital front runners in the world. However, social welfare and the well-being of disadvantaged groups among the population (e.g. older people) have not yet caught up with the more developed Western countries. Thus, learning more about the health-related information behavior of older adults, e.g. the kind of health information they are seeking and using in Estonia, allows policymakers, health information providers and libraries in Estonia to plan and carry out more effective interventions and help them to improve the existing systems so as to furnish older adults with relevant information.
Which complexity? A review of typologies and a framework proposal for characterizing complexity-based approaches
Authors: Sigahi Tiago F.A.C. , Sznelwar Laerte Idal 
Published: February 2023

PurposeThe purpose of this paper is twofold: (1) to map and analyze existing complexity typologies and (2) to develop a framework for characterizing complexity-based approaches.Design/methodology/approachThis study was conducted in three stages: (1) initial identification of typologies related to complexity following a structured procedure based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol; (2) backward and forward review to identify additional relevant typologies and (3) content analysis of the selected typologies, categorization and framework development.FindingsBased on 17 selected typologies, a comprehensive overview of complexity studies is provided. Each typology is described considering key concepts, contributions and convergences and differences between them. The epistemological, theoretical and methodological diversity of complexity studies was explored, allowing the identification of the main schools of thought and authors. A framework for characterizing complexity-based approaches was proposed including the following perspectives: ontology of complexity, epistemology of complexity, purpose and object of interest, methodology and methods and theoretical pillars.Originality/valueThis study examines the main typologies of complexity from an integrated and multidisciplinary perspective and, based on that, proposes a novel framework to understanding and characterizing complexity-based approaches.
The relationships among workplace role modeling, learning goal orientation and proactive behavior
Authors: Matsuo Makoto 
Published: February 2023

PurposeAlthough learning goal orientation (LGO) has shown to promote learning and performance in employees, only a limited number of studies have explored its situational antecedents. The main purpose of the present research was to examine the effects of role modeling on employee LGO and proactive behavior.Design/methodology/approachA two-wave survey was conducted to collect data from medical employees (n = 478) at an acute hospital in Japan.FindingsThe results of structural equation modeling showed that role model proactive behavior promoted employee LGO, mediated through perceived role model LGO; and that perceived role model LGO enhanced employee proactive behavior, mediated through employee LGO.Research limitations/implicationsAs the sample was limited to employees in a nursing department at a Japanese hospital, the characteristics of the national culture and occupation may have potentially affected the results.Practical implicationsProactive employees can act as role models to enhance the level of employees' LGO and proactive behavior in organizations. It is imperative to develop employee role modeling to enhance LGO and proactive behavior.Originality/valueThis study may be the first to identify the influence of role modeling as an antecedent of LGO. The role model may provide employees with job resources to develop their LGO and proactive behaviors.
Survival rates of systemic interventions for psoriasis in the Western Japan Psoriasis Registry: A multicenter retrospective study
Authors: Yanase Tetsuji , Tsuruta Noriko , Yamaguchi Kazuki , Ohata Chika , Ohyama Bungo , Katayama Eri , Sugita Kazunari , Kuwashiro Maki , Hashimoto Aki , Yonekura Kentaro , Higashi Yuko , Murota Hiroyuki , Koike Yuta , Matsuzaka Yuki , Kikuchi Satoko , Hatano Yutaka , Saito Kanami , Takahashi Kenzo , Miyagi Takuya , Kaneko Sakae , Ota Masataka , Harada Kayo , Morizane Shin , Ikeda Kenta , Furue Masutaka , Nakahara Takeshi , Okazaki Fusako , Sasaki Natsuko , Okada Etsuko , Yoshida Yuichi , Ito Kotaro , Imafuku Shinichi 
Published: February 2023

AbstractPsoriasis affects approximately 0.3% of the Japanese population. Recently, various effective systemic drugs have become available, and the continuation of a given treatment has become critical because of the chronic nature of psoriasis. Factors affecting drug survival (the time until treatment discontinuation) in psoriasis treatment include efficacy, safety, ease of use, and patient preference. In the present study, the authors retrospectively surveyed a multifacility patient registry to determine the real‐world evidence of the survival rate of systemic interventions for psoriasis treatment. Patients with psoriasis who visited 20 facilities in the Western Japan area between January 2019 and May 2020 and gave written consent were registered as study participants, and their medical history of systemic interventions for psoriasis (starting from 2010) was retrospectively collected and analyzed. The drugs investigated were adalimumab, infliximab, ustekinumab, secukinumab, ixekizumab, brodalumab, guselkumab, risankizumab, cyclosporine, and apremilast. When drugs were discontinued, the reasons were also recorded. A total of 1003 patients with psoriasis including 268 with psoriatic arthritis (PsA) were enrolled. In biologics, more recently released drugs such as interleukin 17 inhibitors showed a numerically higher survival rate in the overall (post‐2010) analysis. However, in the subset of patients who began treatment after 2017, the difference in the survival rate among the drugs was smaller. The reasons for discontinuing drugs varied, but a loss of efficacy against dermatological or joint symptoms were relatively frequently seen with some biologics and cyclosporine. The stratification of drug survival rates based on patient characteristics such as bio‐naive or experienced, normal weight or obese, and with or without PsA, revealed that bio‐experienced, obese, and PsA groups had poorer survival rates for most drugs. No notable safety issues were identified in this study. Overall, the present study revealed that the biologics show differences in their tendency to develop a loss of efficacy, and the factors that negatively impact the survival rate of biologics include the previous use of biologics, obesity, and PsA.
Promising whole‐cell vaccines against cryptococcosis
Authors: Ueno Keigo , Tsuge Soichiro , Shimizu Kiminori , Miyazaki Yoshitsugu 
Published: February 2023

AbstractCryptococcosis is a mycosis caused by Cryptococcus neoformans and C. gattii species complexes. Although this infection is potentially lethal, no prophylactic vaccine is yet commercially available, and the immune memory that enables prevention is still under investigation. These pathogens have a capsule layer for immune evasion and a sophisticated mechanism to advance the infection, and it is expected that these characteristics will make it difficult to develop prophylactic vaccines and to decipher the protective immunity. The current vaccine studies are focused on subunit, mRNA, DNA, and viral vector vaccines, with whole‐cell vaccines also proving successful against cryptococcal infections. Cryptococcal whole‐cell vaccines have been composed of highly immunostimulating strains with low‐pathogenicity that are modified by genetic recombination technology. Examples include the whole‐cell vaccines H99γ, sgl1∆, fbp1∆, znf2oe, cda1/2/3∆, cap59∆, and cap60∆. Some of these whole‐cell vaccines were found to be highly effective in prolonging life and suppressing the fungal burden after an infection challenge in mice, and to be cross‐reactive to C. neoformans, C. gattii, and other fungal pathogens. Furthermore, for some vaccines, the protective effect can be retained even in an immunocompromised host depleted of CD4+ T cells. These findings have provided new insights into protective immunity that should aid in vaccine development. In this review, we highlight the upsides and downsides of whole‐cell vaccines against cryptococcosis.
An ecologist’s introduction to continuous‐time multi‐state models for capture–recapture data
Authors: Rushing Clark S. 
Published: February 2023

Abstract

Recent technological advances have led to a rapid increase in the collection of capture–recapture data in continuous time. Unlike traditional capture–recapture data, the detection times from these technologies are themselves random variables and analysis of these data, therefore, requires models that properly account for stochasticity in both state transitions and detection times.

Despite the ubiquity of continuously collected capture–recapture data, the mathematical concepts needed to fit continuous‐time models remain unfamiliar to many ecologists. In this paper, I provide an introduction to continuous‐time models, with a focus on multi‐state capture–recapture data.

After reviewing the basic structure of these models, I describe several variations, including constant parameters, temporal variation in state transition rates and autocorrelation in detections. To aid comprehension, each model is accompanied by code to simulate data and fit the model in Stan.

Although the models presented in this guide are only a small subset of the variations that are possible to suit the needs of specific datasets or questions, the concepts and code will hopefully serve as a foundation for future analyses, allowing ecologists to develop new and creative approaches to continuous‐time modelling.