bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differential activity patterns in the upper and lower blade of the dentate gyrus
Authors: Fredes Felipe , Masaracchia Laura , Capogna Marco , Vidaurre Diego 
Published: June 2023

AbstractThe dentate gyrus is considered the first stage in the trisynaptic circuit of the hippocampus. Granule cells of the dentate gyrus fire very sparsely with a low probability of overlapping patterns of active neurons. This characteristic supports the most prevalent view of the dentate gyrus function as that of a pattern separator: to generate dissimilar neuronal representations from overlapping input states that represent similar but not identical environments. However, there are two distinct granule cell blades that have been shown to have different activity patterns: the upper blade and the lower blade. These may support different purposes, but their differential function is not well understood. Here we have recorded calcium imaging data from both the upper and the lower blade of the dentate gyrus from two mice (the upper blade from one, the lower blade from the other), while they perform a simple decision-making task. We found that only the lower blade encodes subjective emotional response while the upper blade preferentially encodes the actual response. Importantly, we found that correlations between cells carried more information about these two behavioural variables than individual firings, suggesting that neuron correlations encode here important information above and beyond individual unit activity.
Implementing circular economy principles in infrastructure procurement to support circular supply chains
Authors: Karlovsek Jurij , Meath Cristyn , Miles-Mwangangi Lawrence , MacDonald Charles , Brockmann Alfredo 
Published: June 2023

PurposeThe aim of this paper is to study the procurement of infrastructure through the lens of circular economy (CE) principles to achieve contractual delivery methods which promote circular supply chains.Design/methodology/approachThis paper provides an analysis of the key concepts related to the research topic based on a review of recent academic literature. Moreover, based on the empirical and academic experience of the authors in the infrastructure industry, there are multiple actionable discussion points which are raised. However, the research for this paper was undertaken with a focus on literature rather than direct observations and empirical research, which may limit discussion to scholarly rather than practical applications.FindingsThe paper finds that CE principles can be leveraged to capture additional economic benefit in the infrastructure industry. In addition, there are specific project delivery methods which may act as workable practices towards more circular supply chains.Originality/valueThe value of this paper is in the CE-related suggestions the paper provides to procurement practitioners. This work also attempts to link contractual procurement with tangible outcomes across the project lifecycle, including operation and end of life (EOL) of the infrastructure asset.
DeLone and McLean’s reformulated information systems success model: a systematic review of available literature in public sector (2011-2022)
Authors: Iqbal Memoona , Rafiq Muhammad 
Published: June 2023

Purpose
DeLone and McLean (D&M) has been amongst the most widely used models to assess the success elements of information systems (IS) since 1992. A decade later in 2003, D&M proposed a revised design that included several components which have been left out of original proposed model. This study aims to rely on the review of a number of papers casing the era 2011–2022 that satisfies a specific set of requirements to identify the research gaps in this area and to prepare a future research agenda.

Design/methodology/approach
This study is a systematic review: a technique that identifies and evaluates pertinent research. This gathers and analyses data from selected studies with objective to catalogue all empirical research studies, which responds to a certain study topic or hypothesis to meets predetermined inclusion criteria. Data collection method was divided into four stages, and selection details are determined through flow chart.

Findings
This research discovered D&M 2003 model use in many contexts, countries and cultures to better comprehend the topic and addresses its gaps, particularly with regard to public sector and its particularities. Publications have frequently emphasized the significance of this idea while studying public sector information systems by using associated variables-related items. Findings also include a summary of key components and dimensions used in reviewed studies in relation to each of the seven variables, and associated particularities in government sector over the world.

Originality/value
To the best of the authors’ knowledge, this is the first ever effort in this developing country in discipline of Information Management to execute such kind of study to review D&M ISS model in detail at this stage to evaluate nonacademic public sector information systems around the world.
The cost-effectiveness of resilient healthcare
Authors: Saurin Tarcisio Abreu , Wiig Siri , Patriarca Riccardo , Grotan Tor Olav 
Published: June 2023

PurposeThe purpose of this conceptual paper is to develop a model of the hypothesized relationships between investments and outcomes of resilient health care (RHC).Design/methodology/approachBased on the extant literature, the aforementioned model is described along with proxy measures of its composing variables and a matrix for assessing the cost-effectiveness of RHC instantiations. Additional possible relationships are set out in two propositions for theory testing.FindingsThe model conveys that RHC gives rise to both desired and undesired outcomes. Investments moderate the relationships between RHC and its outcomes. Both investments and outcomes can be broadly categorized as either human or technical. Moreover, the propositions refer to what type and how much investment is necessary to perform in a resilient manner, what are the intended or desired outcomes of RHC, for how long and who is affected by these outcomes.Originality/valueThe cost-effectiveness perspective of RHC is new and the proposed model opens opportunities for empirical and theoretical research.
Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes
Authors: Rauniar Rupak , Rawski Greg , Cao Qing Ray , Shah Samhita 
Published: June 2023

PurposeDrawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.Design/methodology/approachThe authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.FindingsThe results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.Practical implicationsBased on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.Originality/valueThe empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.
Socially sustainable smart cities: mapping the research trends by co-word analysis
Authors: Ebrahiem Samia , El-Kholei Ahmed O. , Yassein Ghada 
Published: June 2023

PurposeThe article attempts to shed light on the social aspects of research that deal with Sustainable Development Goals (SDGs) and sustainable cities. The aim is to offer a global view of these facets' evolution and to provide information on people-centered smart cities.Design/methodology/approachThe research is qualitative. A systematic bibliometric approach is a framework for the research. The unit of analysis is publications on SDGs and Smart Cities (SCs) indexed in Scopus. The authors used VOSviewer text mining functionality to construct co-occurrence networks of socially related critical terms extracted from textual data. The co-occurrence of keywords presents a valuable method and process for attaining in-depth analysis and fast comprehension of trends and linkages in articles from a holistic approach.FindingsSocial media, social sustainability and social capital are the three multifaceted social keywords that co-occur in SDGs and SCs. The paper provides a brief compendium of resources and frameworks to build a socially sustainable smart city.Research limitations/implicationsThe retrieval date was on 15 August 2019. The authors used the same search query for new papers released in 2019 and afterwards to update their findings. The authors collected 657 documents on SCs, compared to 2,975 documents about SDGs demonstrating that their findings are still trending in the same direction, emphasizing the importance of the research topic. SCs' social aspects are still chartered areas that require the attention to future research.Originality/value The authors’ decision to use two separate data sets for SCs and SDGs data files helps to provide a more comprehensive picture of the research landscape. It may identify areas where research is lacking or needs future research. The authors present an integrative agenda for a smart city to be socially sustainable. Innovative approaches to urban planning are required to empower the place and context and improve the users' satisfaction, where innovative solutions enable smart, sustainable and inclusive societies. Infrastructure governance is a critical keystone. It could guarantee that public investments contribute to sustainable urban development while enhancing city resilience, particularly in facing climate change and inclusive growth challenges.
How do consumers evaluate products in virtual reality? A literature review for a research agenda
Authors: Branca Generoso , Marino Vittoria , Resciniti Riccardo 
Published: June 2023

Purpose
This paper aims to review the existing literature about consumers’ evaluation of products in virtual reality (VR), provide an accurate overview of this field, systematise the knowledge developed so far, identify the research gaps and propose a future research agenda.

Design/methodology/approach
A systematic literature review was performed on Scopus and Web of Science, resulting in a final pool of 31 articles.

Findings
Four main themes were identified, and a detailed research agenda is proposed based on the findings and following the theory, context, characteristics, methodology framework.

Research limitations/implications
The provision of formal inclusion and exclusion criteria may have resulted in additional potentially relevant articles not indexed in the data set under consideration.

Originality/value
The paper highlights how products are perceived in VR, the consumers’ responses, the peculiarities of VR compared to other conditions and VR as a product test environment. To the best of the authors’ knowledge, this paper seems to represent the first systemic review that focusses solely on how consumers assess products in VR. The results lead to a broad proposal of directions for future research that can expand knowledge on VR in marketing. Practical implications concern the use of VR to design product strategies and as a testing and prototyping environment.
Occurrence of extended‐spectrum β‐lactamases‐producing Escherichia coli isolates over gradient pollution in an urban tropical estuary
Authors: Costa Wellington Felipe , Paranhos Rodolfo , Mello Marianne Pataro , Picão Renata Cristina , Laport Marinella Silva 
Published: June 2023

AbstractBacterial resistance to antimicrobials is a global public health problem that surpasses the human context and can be increased by pollution. However, the lack of systematic monitoring of resistance in some aquatic matrices, such as tropical estuaries, makes it unknown whether its occurrence is associated with anthropogenic pollution in these environments. Therefore, we investigated the occurrence of extended‐spectrum beta‐lactamases (ESBLs) producing Escherichia coli as a resistance indicator for 12 consecutive months at three representative points of a pollution gradient in Guanabara Bay (GB), Brazil. Sixty‐six E. coli strains were selected from 72 samples of GB waters in the presence of ceftriaxone (8 μg mL−1) and identified by MALDI‐TOF MS. Of the 66, 55 (83.3%) strains were ESBL producers. They carried beta‐lactamase/ESBL genes, with the predominance of blaCTX‐M (54, 98.2%), especially the blaCTX‐M‐1,2 allele (49.1%). These strains were detected frequently (81.8%) from the point with the highest pollution levels. Furthermore, the marker for Class 1 integron, intI1 gene, was detected in 54.5% of ESBL producers. These data suggest an association between antimicrobial‐resistant E. coli and sewage pollution in aquatic environments raising concerns about the possible risks of human exposure to these waters and fish consumption.
GC–MS analysis of eight aminoindanes using three derivatization reagents
Authors: Rose Amber R. , Joshi Monica , Staretz Marianne E. , Wood Matthew , Brettell Thomas A. 
Published: June 2023

AbstractAminoindanes are a class of novel psychoactive substances (NPSs) that have become more prevalent over the past decade. GC–MS is often utilized for identifying seized drugs and is well regarded for its ability to separate mixtures. However, certain aminoindanes have similar mass spectral data and require specific gas chromatographic stationary phases for separation. Derivatization is an alternative method that can be applied to GC–MS to enhance chromatographic results, providing more selective analysis in seized‐drug identification. This study investigates derivatization techniques to provide options for forensic science laboratories in accurately identifying aminoindanes. Three derivatization reagents, N‐methyl‐bis(trifluoroacetamide) (MBTFA), heptafluorobutyric anhydride (HFBA), and ethyl chloroformate (ECF) were evaluated for the analysis of eight aminoindanes by GC–MS using two common gas chromatographic stationary phases, Rxi®‐5Sil MS and Rxi®‐1Sil MS. All three derivatization methods successfully isolated eight aminoindanes, including the isomers 4,5‐methylenedioxy‐2‐aminoindane (4,5‐MDAI), and 5,6‐methylenedioxy‐2‐aminoindane (5,6‐MDAI) that could not be differentiated prior to derivatization. Reduced peak tailing and increased abundance were observed after derivatization for all the compounds, and mass spectra of the derivatives contained individualizing fragment ions that allowed for further characterization of the aminoindanes. This excluded 4,5‐MDAI and 5,6‐MDAI as they shared the same characteristic ions and were only distinguishable by their retention times. All three derivatization techniques used in this study allow for successful characterization of the aminoindanes and give forensic science laboratories flexibility in their analysis approach when they encounter these compounds.
Nutritional, biological, and structural properties of bioactive peptides from bellflower, Persian‐willow, and bitter‐orange pollens
Authors: Sarabandi Khashayar , Dashipour Alireaza , Izadi Zahra , Akbarbaglu Zahra , Katouzian Iman , Jafari Seid Mahdi 
Published: June 2023

AbstractIn this study, the composition of amino acids, nutritional characteristics, degree of hydrolysis (DH), antioxidant properties, and antibacterial activity of proteins and hydrolysates of bellflower (Campanula latifolia), Persian willow (Salix aegyptiaca), and bitter orange (Citrus aurantium L.) were investigated under the influence of different proteases (Alcalase: Al, trypsin: Tr, pancreatin: Pa, and pepsin: Pe). Evaluation of the structural features of the proteins showed amide regions (amide A, B, I‐III) and secondary structures. Hydrophobic amino acids (∼38%), antioxidants (∼21%), and essential types (∼46%) form a significant part of the structure of flower pollen. The digestibility and nutritional quality (PER) of the hydrolyzed samples (CP: 1.67; CA: 1.89, and PW: 1.93) were more than the original protein. Among proteins and peptides, the highest degree of hydrolysis (34.6%: Al‐PWH), inhibition of free radicals DPPH (84.2%: Al‐CPH), ABTS (95.2%: Pa‐CPH), OH (86.7%: Tr‐CAH), NO (57.8%: Al‐CPH), reducing power (1.31: Pa‐CPH), total antioxidant activity (1.46: Pa‐CPH), and chelation of iron ions (80%: Al‐CPH and Al‐CAH) and copper (50.3%: Pa‐CAH) were affected by protein type, enzyme type, and amino acid composition. Also, the highest inhibition of the growth of Escherichia coli (25 mm) and Bacillus cereus (24 mm) were related to CP and PW hydrolysates, respectively. The results of this research showed that hydrolyzed flower pollens can be used as a rich source of essential amino acids as well as natural antioxidants and antibacterial in food and dietary products.Practical ApplicationEnzymatic hydrolysis of Campanula latifolia, Persian willow, and Citrus aurantium pollen proteins was performed. The hydrolyzed ones had high nutritional quality and digestibility (essential amino acids and PER index). Antioxidant properties and chelation of metal ions of peptides were affected by the type of protein and enzyme. The hydrolysates showed inhibitory activity against the growth of Esherichia coli and Bacillus cereus.
Numerical Simulation of Thermo‐Hydro‐Mechanical‐Chemical Response Caused by CO2Injection into Saline Geological Formations: A Case Study from the Ordos Project, China
Authors: FAN Zejin , XU Tianfu , YANG Bo , ZHANG Hui , ZHU Huixing 
Published: June 2023

AbstractThermo‐hydro‐mechanical‐chemical (THMC) interactions are prevalent during CO2geological sequestration (CGS). In this study, a sequential coupling THMC numerical simulation program was constructed, which can be used to explore the following issues of CGS: fluid and heat flow, solute transport; stresses, displacements and rock failures related to geo‐mechanical effects; equilibrium and kinetic chemical reactions; chemical damage to mechanical properties of the rock. Then, the coupling program was applied to the Ordos CGS Project to study the formation response under the multi‐field interaction caused by CO2injection. The simulation results show that the mechanical process dominates the short CO2injection period. Specifically, the formation's permeability near the injection well increases by 43%, due to the reduction of effective stress, which significantly promotes the lateral migration of CO2. When the injection rate exceeds 0.15 million tons per year, the cohesion of the reservoir rock is not enough to resist the shear force inside the rock and rock failure may occur. During the subsequent long‐term sequestration period (200 years), the influence of mineral reactions gradually increases. Due to calcite dissolution, the shear modulus of caprock is predicted to decrease by 7.6%, which will to some extent increase the risk of rock failure.
orchaRd 2.0: An R package for visualising meta‐analyses with orchard plots
Authors: Nakagawa Shinichi , Lagisz Malgorzata , O'Dea Rose E. , Pottier Patrice , Rutkowska Joanna , Senior Alistair M. , Yang Yefeng , Noble Daniel W. A. 
Published: June 2023

AbstractAlthough meta‐analysis has become an essential tool in ecology and evolution, reporting of meta‐analytic results can still be much improved. To aid this, we have introduced the orchard plot, which presents not only overall estimates and their confidence intervals, but also shows corresponding heterogeneity (as prediction intervals) and individual effect sizes.Here, we have added significant enhancements by integrating many new functionalities intoorchaRd 2.0. This updated version allows the visualisation of heteroscedasticity (different variances across levels of a categorical moderator), marginal estimates (e.g. marginalising out effects other than the one visualised), conditional estimates (i.e. estimates of different groups conditioned upon specific values of a continuous variable) and visualisations of all types of interactions between two categorical/continuous moderators.orchaRd 2.0has additional functions which calculate key statistics from multilevel meta‐analytic models such asI2andR2. Importantly,orchaRd 2.0contributes to better reporting by complying with PRISMA‐EcoEvo (preferred reporting items for systematic reviews and meta‐analyses in ecology and evolution). Taken together,orchaRd 2.0can improve the presentation of meta‐analytic results and facilitate the exploration of previously neglected patterns.In addition, as a part of a literature survey, we found that graphical packages are rarely cited (~3%). We plea that researchers credit developers and maintainers of graphical packages, for example, by citations in a figure legend, acknowledging the use of relevant packages.
France: Political Developments and Data for 2022
Authors: BENDJABALLAH SELMA , SAUGER NICOLAS 
Published: June 2023

AbstractAs an election year for President Macron and his majority, 2022 proved itself a challenge. President Macron did win his run‐off against Le Pen, once again, but the key result of the legislative elections was the formation of a minority government. LREM (La République En Marche!), relabeled since as Revival, did not secure a majority in the National Assembly and was unable to form a stable coalition with any significant partner in the context of continuing polarization of the party system. The year 2022 brought unexpected developments on the left, with a new coalition called Nupes (New Popular Green and Social Union, Nouvelle Union Populaire Ecologique et Sociale) and bringing together all major left‐wing parties under the leadership of Mélenchon and LFI (La France Insoumise). Meanwhile, the two formerly dominant parties since the 1980s, the Socialist Party and the Republicans, have almost vanished from the scene.