bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heterogeneous plasticity of amygdala interneurons in associative learning and extinction
Authors: Favila Natalia , Capece Marsico Jessica , Escribano Benjamin , Pacheco Catarina M. , Bitterman Yael , Gründemann Jan , Lüthi Andreas , Krabbe Sabine 
Published: September 2024

SUMMARYNeural circuits undergo experience-dependent plasticity to form long-lasting memories. Excitatory projection neurons are considered to be the primary neuronal substrate for memory acquisition and storage. However, inhibitory interneurons control the activity of projection neurons in a in a spatially and temporally precise manner, yet their contribution to memory acquisition, storage and expression remains poorly understood. Here, we employ a miniature microscope imaging approach to monitor the activity of large amygdala interneuron populations in freely moving mice during fear learning and extinction at the single cell level. We find that amygdala interneurons display mixed-selectivity and show complex plastic responses at both the ensemble and single neuron level across the acquisition, expression and extinction of aversive memories. In contrast to bidirectional single cell plasticity across distinct fear states, learning-induced changes at the population level occur transiently during conditioning and do not consolidate across days. Examining molecular interneuron subpopulations revealed that disinhibitory vasoactive intestinal peptide (VIP) expressing cells are predominantly activated by high fear states. In contrast, somatostatin (SST) interneurons display a preference for safety cues and thereby suppress excitatory neuron responsiveness. However, responses of individual neurons within the SST and VIP populations are non-uniform, indicating the presence of functional subtypes within classical molecularly-defined interneuron populations. Taken together, we identify complex neuronal plasticity within amygdala interneuron ensembles that goes beyond a passive processing function, suggesting a critical role of inhibitory microcircuit elements for memory selectivity and stability.
In vitro study of chemical compositions and antibacterial activity of Lorestan endemic plant,Pistacia atlanticaleaf hydroalcoholic extract against cariogenic bacteria
Authors: Rahimi Mahnaz , Vand Sara Mohammadi Sepah , Sepahvand Azadeh Mohammadi 
Published: September 2024

Background and objectivesThe use of medicinal plants has been considered as an adjunctive treatment to prevent and control dental caries, alongside the mechanical removal of microbial agents. The aim of this study was to evaluate the chemical compositions and antibacterial activity ofPistacia atlanticaleaf hydroalcoholic extract against standard strains ofStreptococcus mutans (SM)andLactobacillus rhamnosus (LR).Materials and MethodsThe hydroalcoholic extract ofPistacia atlanticaleaves was prepared using the maceration method, and the chemical compositions were identified by a GC-MS apparatus. The antibacterial activity was assessed on the standard strains ofSMandLRby measuring the mean diameter of the inhibition zone at different concentrations using the agar well diffusion method, and determining the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) using the broth microdilution method. Chlorhexidine (CHX) mouthwash at a concentration of 0.2% was used as the positive control group. The tests were repeated three times, and the results were analyzed using ANOVA, Tukey’s Honestly Significant Difference (HSD) test, and T-test with SPSS. A significance level of P< 0.05 was considered.ResultsThe MIC of thePistacia atlanticaleaf hydroalcoholic extract forSM, LR, and CHX was 12.5, 25, and 6.25 mg/ml, respectively, and the MBC forSM, LR, and CHX was 25, 25, and 6.25 mg/ml, respectively. In the agar well diffusion method, the mean diameter of the inhibition zone at the concentration of 200 mg/ml forSM, LR, and CHX was 23.33±6.50, 19.0±1.0, and 17.33±0.57 mm, respectively. The major chemical compositions wereα-pinene,α-bisabolene, 3-hexenol, pulegone, andβ-pinene, respectively.ConclusionThe leaf hydroalcoholic extract ofPistacia atlanticademonstrated antibacterial activity againstSMandLR.
Noise-robust modal parameter identification and damage assessment for aero-structures
Authors: Dessena Gabriele , Civera Marco , Pontillo Alessandro , Ignatyev Dmitry I. , Whidborne James F. , Zanotti Fragonara Luca 
Published: September 2024

Purpose
Ground vibration testing is critical for aircraft design and certification. Fast relaxed vector fitting (FRVF) and Loewner framework (LF), recently extended to modal parameter extraction in mechanical systems to address the computational challenges of time and frequency domain techniques, are applied for damage detection on aeronautically relevant structures.

Design/methodology/approach
FRVF and LF are applied to numerical datasets to assess noise robustness and performance for damage detection. Computational efficiency is also evaluated. In addition, they are applied to a novel damage detection benchmark of a high aspect ratio wing, comparing their performance with the state-of-the-art method N4SID.

Findings
FRVF and LF detect structural changes effectively; LF exhibits better noise robustness, while FRVF is more computationally efficient.

Practical implications
LF is recommended for noisy measurements.

Originality/value
To the best of the authors’ knowledge, this is the first study in which the LF and FRVF are applied for the extraction of the modal parameters in aeronautically relevant structures. In addition, a novel damage detection benchmark of a high-aspect-ratio wing is introduced.
Public attention and “Environmental Disclosure Greenwashing”: pressure from oversight or incentive from legitimacy
Authors: Zhou Yiqiang , Chen Lianghua 
Published: September 2024

PurposeThis study aims to investigate whether public attention influences corporate decisions on environmental disclosure, thereby revealing how society perceives and understands environmental issues and how corporations respond to these expectations.Design/methodology/approachWe selected publicly listed Chinese firms as our sample. An “Environmental Disclosure Greenwashing” (EDG) Index was developed through textual analysis of their annual reports using natural language processing. Financial data were obtained from the CSMAR database, and multivariate regression was used for analysis.FindingsThe impact of public attention on EDG primarily manifests as an oversight pressure effect rather than a legitimacy incentive effect. As public attention intensifies, firms tend to adopt more substantial environmental actions instead of merely symbolic environmental disclosures. Formal regulatory frameworks might inadvertently trigger corporate EDG, but public attention can correct the adverse effects possibly introduced by formal regulations. Notably, in firms facing lower institutional pressure, the influence of public attention is more pronounced.Practical implicationsThe evidence suggests that public attention reduces corporate EDG. These findings have significant implications for the regulation of environmental disclosures among firms in emerging economies.Originality/valueThe study integrates research in environmental disclosure with the concept of “greenwashing”, unveiling the limitations of the “disclosure as governance” viewpoint. It elucidates the impact of an informal external oversight mechanism (i.e. public attention) on complex corporate environmental disclosure decisions.
The AI president: a country governed by artificial intelligence
Authors: Al Lily Miriam 
Published: September 2024

Purpose
This paper aims to explore the possible forms and characteristics of an artificial intelligence (AI) leader and discuss the potential applications of AI in political leadership and governance.

Design/methodology/approach
A categorization system consisting of three categories – the level of responsibility, the voting system and the bindingness of the AI’s decisions – was developed to better understand the various types of AI leaders. Additionally, to identify the main characteristics of an AI leader, a comprehensive literature review was conducted. The themes from the literature were then categorized and supplemented with additional discussions.

Findings
This paper identifies several potential AI leaders, including the AI President, the AI Dictator, the AI Minister and the AI Consultant. The key characteristics of an AI leader were also discussed. The primary strengths of AI lie in their intelligence and rationality, which could potentially lead our societies toward a peaceful and prosperous future. However, a significant drawback of AI is that it will always be limited by the capabilities and intentions of its programmer, whether human or AI.

Practical implications
Understanding the forms and characteristics of AI leaders may help policymakers and decision-makers explore the possibilities of integrating AI into political leadership and governance.

Originality/value
This paper contributes to the emerging field of AI in governance by exploring the forms and characteristics of AI leaders and discussing their potential applications in political leadership.
Synergizing workplace spirituality: fostering happiness, hardiness and psychological well-being in organizations
Authors: Chenji Kalaa , Sode Raghavendra 
Published: September 2024

Purpose
The purpose of this study is to evaluate the impact of workplace spirituality on psychological well-being (PWB). In addition, this study investigates the mediating role of workplace happiness and explores how psychological hardiness moderates the relationship between spirituality and PWB.

Design/methodology/approach
This study used a two-wave, self-reported quantitative approach focusing on millennials. Data were gathered from 416 participants through structured questionnaires. Regression analysis and bootstrapping techniques were used to investigate the moderated mediation models.

Findings
The bootstrapped 95% confidence interval for the indirect effects did not include zero, indicating that workplace happiness mediates the relationship between workplace spirituality and PWB. Furthermore, the moderated mediation model revealed that happiness also mediates the relationship between spirituality and PWB, particularly when millennials exhibit low levels of psychological hardiness.

Research limitations/implications
As millennials make up a significant portion of today's workforce, tapping into the inner resource of spirituality can enhance PWB. Individuals with happy, resilient, clear and receptive minds are more inclined toward achieving well-being.

Originality/value
This study explores the emerging concepts of workplace spirituality, PWB, workplace happiness and psychological hardiness, focusing specifically on their impact on the well-being of millennials in the workplace, an area that has been relatively under-researched.
A comparative study of the impact of LSSI4.0 implementation on the financial performance of Chinese manufacturing firms: an empirical analysis
Authors: Li Na , Hines Peter , Xin Chunlin 
Published: September 2024

Purpose
This paper aims to investigate how implementing lean six sigma and Industry 4.0 (LSSI4.0) can influence a company’s financial performance and discusses the current trend involving LSSI4.0 in China.

Design/methodology/approach
For statistical analysis, financial data was sourced from the China Stock Market and Accounting Research database. Keywords used to assess the implementation status of LSSI4.0 were extracted from the 2007 to 2020 annual reports of A-share manufacturing companies. Regression analysis was applied to the quantitative analyses of 5,041 observational data points from 945A-share manufacturing companies in China.

Findings
LSSI4.0 implementation in the manufacturing industry boosts the firms’ financial performance. However, the former outperforms the latter in terms of long-term advantages. Meanwhile, incorporating lean six sigma (LSS) into Industry 4.0 (I4.0) can lead to long-term improved financial performance compared to solely implementing the I4.0.

Research limitations/implications
The findings possess limited international representativeness because all empirical data were derived from Chinese large manufacturing companies. In addition to return on assets and return on equity, financial performance can also be measured using other financial metrics, such as return on investment. In this study, only listed manufacturing companies were considered as research samples.

Practical implications
Top management must acknowledge the positive impact of LSSI4.0 on financial performance and prioritize implementing I4.0 based on LSS implementation.

Originality/value
Empirical results concerning the effectiveness of LSS implementation in enhancing financial performance are inconclusive, particularly in China. In addition, most studies collected data through surveys and interviews, so the representativeness of their outcomes is limited. Overall, this study evaluated the impact of LSSI4.0 implementation with large sample size.
The impact of bank liquidity, monetary policy and global crises on bank risk-taking: evidence from Vietnam
Authors: Nguyen Phan Dinh 
Published: September 2024

Purpose
This paper aims to examine the impact of bank liquidity, monetary policy and global crises on bank risk-taking behavior of Vietnamese banks. It provides evidence for a risk-taking channel of monetary policy through bank liquidity and global crises.

Design/methodology/approach
The study uses the data set of 572 observations from 35 banks operating in Vietnam between 2005 and 2022, using the GMM regression technique.

Findings
The findings indicate that banks with higher liquidity tend to take more risks in the long run. Additionally, expansionary monetary policies encourage banks to take on more risk. Bank liquidity and global crises, such as the global financial crisis and the COVID-19 pandemic, not only directly affect bank risk-taking but also indirectly through monetary policy.

Originality/value
This paper expands the existing literature by examining the effect of bank liquidity, monetary policy and global crises on bank risk-taking by using the GMM and two models of which the authors regress the impact with and without bank liquidity and global crises. New factors affecting risk-taking, including operating cost, financial crisis and the COVID-19 pandemic are added into the model.
Green human resource management and organizational efficiency among local assemblies: role of process innovation and knowledge sharing
Authors: Duah Evans , Pakmoni Lariba , Appiah-Kubi Elias 
Published: September 2024

PurposeThe purpose of this study was to assess the mediating role of process innovation in the relationship between green human resource management (GHRM) and organizational efficiency among local governments. Further, the study assessed the moderating role of knowledge sharing in the relationship between process innovation and organizational efficiency.Design/methodology/approachThe study focused on metropolitan, municipal, and district assemblies (MMDAs) within the Ashanti region of Ghana. The sample size was 227 employees within the selected MMDAs. Structural equation modeling in Amos (v.23) was run to test the stated hypotheses.FindingsIt was concluded that GHRM had no direct effect on organizational efficiency within the MMDAs. The relationship was rather fully mediated by process innovation. Knowledge sharing further moderated the relationship between process innovation and organizational efficiency among the MMDAs.Practical implicationsLocal governments and other public institutions should adopt GHRM, as it could enhance process innovation, leading to organizational efficiency.Social implicationsThis paper contributes to the understanding of GHRM in the public sector, particularly in the context of local government organizations, and provides valuable insights for policymakers and practitioners seeking to enhance their organizational performance and sustainability.Originality/valueAlthough there is substantial evidence of GHRM within the private sector, less attention has been paid to the public sector, more specifically the local government. Furthermore, the interplay of process innovation and knowledge sharing adds to the knowledge of the relationship between GHRM and organizational efficiency.
Origin of the Fourth Industrial Revolution: manufacturing predictions preceding Industrie 4.0
Authors: Ledford Allison Brown , Hyre Anna , Harris Gregory , Purdy Gregory , Hedberg Jr Thomas 
Published: September 2024

Purpose
The Fourth Industrial Revolution is a prominent area of interest in the field of manufacturing that is bringing about revolutionary changes. In this study, the authors sought to determine whether professionals in academia or industry could have predicted the composition of advanced technologies associated with Industry 4.0 before Germany's Industrie 4.0 policy announcement. The purpose of this paper is to use the process for identifying technologies that can be included in industrial policy to improve national competitiveness in manufacturing.

Design/methodology/approach
Relevant documented research from 2000 to 2012 was identified and captured using a systematic literature review. The significant technological advancements during this period were analyzed to determine how technological innovations may have affected predictions about the future of manufacturing. The identified predictions were analyzed using an open-source natural language processing code that clustered relevant topics in the predictions that indicated common themes. The results were then compared to the ideas within “Industry 5.0”.

Findings
The results of this study showed that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution and could have been used to inform industrial policy that could accelerate technology adoption. Also, contrary to popular belief, the popular Industry 5.0 is a sematic exemplification of a concept already embedded within the origins of the Fourth Industrial Revolution.

Practical implications
By examining the provenance of the Fourth Industrial Revolution, lessons are learned that bring light to Industry 4.0 and the measures that can be taken to enable the advancements that it brings. The results of this study show that is would be wise for government policymakers to enact programs that monitor the manufacturing predictions coming out of academia and to analyze them aggregately using natural language processing as a means to identify the next evolutions and revolutions and to mobilize policymakers to enhance outcomes of enacting policy.

Originality/value
Despite high hopes for the realization of Industry 4.0, there has been little discussion about the technological innovations and events that occurred to enable it. To the best of the authors’ knowledge, this is the first study that has determined that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution. The success of the methodology used in this study has theoretical implications in support of natural language processing (NLP) being used to inform national policy.
Investigating the adoption of smart local government services: the impact of service quality, trust, and social influence
Authors: Hakeem M. J. , Sulphey M. M. 
Published: September 2024

Purpose
This study aims to examine the factors that influence the adoption of public services through the latest smart apps designed to provide maximum services within urban local government.

Design/methodology/approach
The research is based on a thorough literature review, expert advice on public service delivery and four complementary theories. An empirical survey used a structured questionnaire to collect primary data from citizens in Indian local governments. The data was analysed using structural equation modelling (SEM) and SmartPLS version 4 to assess the measurement and structural models.

Findings
The study confirmed that service quality, trust, effort expectancy and social influence are key factors for adopting smart app services. Trust and intention are mediators, while performance expectations do not impact the decision to use smart app services.

Research limitations/implications
The study includes a moderate sample size and a focus on a single developing country, which restricts its cross-cultural applicability. This research investigated the factors influencing individual adoption and use of local government services delivered through smart apps.

Practical implications
The study has significant implications for policymakers, researchers and implementers. It provides insights for developing strategies to increase the use of smart services, thereby enhancing local governance's efficiency, transparency and accountability.

Originality/value
This study enhances existing knowledge by adding service quality, trust and adoption to the model, which helps examine the factors affecting adoption. With limited research on local smart service app adoption, this study provides valuable insights.
Women as Participants and Promoters of Saints' Cults in Fifteenth‐Century Krakow
Authors: Pluta‐Saladra Edyta 
Published: September 2024

AbstractThis article examines issues relating to women's participation in religious cults at the local level in the fifteenth century. The research is based on the collections of Krakow's miracles. This analysis aims to show the social and cultural background to women's participation in local worship, their religious practices, and also their place in social and family structure. Research shows that women were engaged and active, which translated into the development of local cults. Local worship allowed women to fulfil their religious needs without major disturbances in their daily lives.
Channel restoration in urbanized systems: Guiding design using ecological flow targets and future management scenarios
Authors: Sytsma Anneliese , Philippus Daniel , Wolfand Jordyn M. , Irving Katie , Taniguchi‐Quan Kristine T. , Stein Eric D. , Hogue Terri S. 
Published: September 2024

AbstractRestoration of urban rivers must simultaneously design for ecological habitat while accounting for altered flow regimes associated with urban runoff, flood protection, and industrial/wastewater discharge. The goal of this study was to use ecological flow targets to guide channel restoration of the Los Angeles (LA) River across potential future flow regimes. Using a one‐dimensional hydraulic model, we simulated a range of channel cross section configurations subject to different flow management decisions (wastewater reuse, low‐flow [LF] treatment, and baseflow augmentation). Hydraulic results were assessed relative to ecohydraulic targets for desirable aquatic species in the LA River (willow, steelhead trout, and Santa Ana sucker). Results suggest that, along the mainstem of the LA River, restoration designs that include narrow LF channels may support Santa Ana sucker habitat and steelhead migration if management decisions decrease instream flows (e.g., by reusing treated wastewater). However, the same channel design and management decisions may not provide conditions needed to propagate floodplain vegetation such as willows. In tributary reaches, flows are too low to support habitat conditions for Santa Ana sucker or steelhead but may be able to support riparian habitat if a soft‐bottom LF channel and active floodplain are present. In general, results illustrate the trade‐offs between water management goals and habitat requirements for target species.