bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Benchmark Dataset for Machine Learning in Ecotoxicology
Authors: Schür Christoph , Gasser Lilian , Perez-Cruz Fernando , Schirmer Kristin , Baity-Jesi Marco 
Published: May 2023

ABSTRACTThe use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, which we consider a barrier of entry for this kind of research. Additionally, model performances can only be compared across studies when the same dataset, cleaning, and splittings were used. Therefore, we provideADORE, an extensive and well-described dataset on acute aquatic toxicity in three relevant taxonomic groups (fish, crustaceans, and algae). The core dataset describes ecotoxicological experiments and is expanded with phylogenetic and species-specific data on the species as well as chemical properties and molecular representations. Apart from challenging other researchers to try and achieve the best model performances across the whole dataset, we propose specific relevant challenges on subsets of the data and include datasets and splittings corresponding to each of these challenge as well as in-depth characterization and discussion of train-test splitting approaches.
Nitrogen source and Nod factor signaling map out the assemblies ofLotus japonicusroot bacterial communities
Authors: Tao Ke , Jensen Ib T. , Zhang Sha , Villa-Rodríguez Eber , Blahovska Zuzana , Salomonsen Camilla Lind , Martyn Anna , Björgvinsdóttir Þuríður Nótt , Kelly Simon , Janss Luc , Glasius Marianne , Waagepetersen Rasmus , Radutoiu Simona 
Published: May 2023

AbstractSymbiosis with soil-dwelling bacteria that fix atmospheric nitrogen allows legume plants to grow in nitrogen-depleted soil. Symbiosis impacts the assembly of root microbiota, but it is not known how this process takes place and whether it is independent of nitrogen nutrition. We use plant and bacterial mutants to address the role of Nod factor signaling onLotus japonicusroot microbiota assembly. We found that Nod factors are produced by symbionts to activate Nod factor signaling in the host, and this modulates the assembly of a symbiotic root microbiota.Lotusplants grown in symbiosis-permissive or suppressive soils delineated three nitrogen-dependent nutritional states: starved, symbiotic, or inorganic. We found that root and rhizosphere microbiomes associated with these states differ in composition and connectivity, demonstrating that symbiosis and inorganic nitrogen impact the legume root microbiota differently. Finally, we demonstrated that selected bacterial genera delineating state-dependent microbiomes have a high level of accurate prediction.
A configural context signal simultaneously but separably drives positioning and orientation of hippocampal place fields
Authors: Cheng Han Yin , Overington Dorothy W , Jeffery Kate J. 
Published: May 2023

AbstractEffective self-localization requires that the brain can resolve ambiguities in incoming sensory information arising from self-similarities (symmetries) in the environment structure. We investigated how place cells use environmental cues to resolve the ambiguity of a rotationally symmetric environment, by recording from hippocampal CA1 in rats exploring a ‘2-box’. This apparatus comprises two adjacent rectangular compartments, identical but with directionally opposed layouts (cue card at one end and central connecting doorway) and distinguished by their odor contexts (lemon vs. vanilla). Despite the structural and visual rotational symmetry of the boxes, no place cells rotated their place fields. The majority remapped their fields between boxes but some repeated them, maintaining a translational symmetry and thus adopting a relationship to the layout that was conditional on the odor. In general, the place field ensemble maintained a stable relationship to environment orientation as defined by the odors, but sometimes the whole ensemble rotated its firingen bloc, decoupling from the odor context cues. While the individual elements of these observations – odor remapping, place field repetition, ensemble rotation and decoupling from context – have been reported in isolation, the combination in the one experiment is incompletely explained within current models. We redress this by proposing a model in which odor cues enter into a three-way association with layout cues and head direction, creating a configural context signal that facilitates two separate processes: place field orientation, and place field positioning. This configuration can subsequently still function in the absence of one of its components, explaining the ensemble decoupling from odor. We speculate that these interactions occur in retrosplenial cortex, because it has previously been implicated in context processing, and all the relevant signals converge here.
Measuring the interdisciplinary characteristics of Chinese research in library and information science based on knowledge elements
Authors: Zeng Jinxiang , Cao Shujin , Chen Yijin , Pan Pei , Cai Yafang 
Published: May 2023

PurposeThis study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.Design/methodology/approachEight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.FindingsThe empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.Originality/valueThe extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.
Configural paths for IoTs and big data analytics acceptance for healthcare improvement: a fuzzy-set qualitative comparative analysis
Authors: Edu Abeeku Sam 
Published: May 2023

PurposeThis study investigates the pathways for adopting IoTs and BDA technologies to improve healthcare management.Design/methodology/approachThe study relied on 445 healthcare professionals' perspectives to explore different causal pathways to IoTs and BDA adoption and usage for daily healthcare management. The Fussy-set Qualitative Comparative Analysis was adopted to explore the underlying pathways for healthcare management.FindingsThe empirical analysis revealed six different configural paths influencing the acceptance and use of IoTs and BDA for healthcare improvement. Two key user topologies from the six configural paths, digital literacy and ease of use and social influence and behavioural intentions, mostly affect the paths for using digital health technologies by healthcare physicians.Research limitations/implicationsDespite this study's novel contributions, limitations include the fsQCA methodology, perceptual data and the context of the study. The fsQCA methodology is still evolving with different interpretations, although it reveals new insights and as such further studies are required to explain the configural paths of social phenomena. Additionally, future research should consider other constructs beyond the UTAUT and digital literacy to illustrate configural paths to healthcare technology acceptance and usage. Again, the views of healthcare professionals are perceptual data. Hence future research on operational data will support significant contributions towards pathways to accept and use emerging technologies for healthcare improvement. Lastly, this study is from a developing country perspective where emerging digital healthcare technology is still emerging to support healthcare management. Hence, more investigation from other cross-country analyses of configural paths for digital technology deployment in healthcare will enhance the conversation with IoTs and BDA for healthcare management.Practical implicationsHolistically, the acceptance and use of healthcare technologies and platforms is not solely on their capabilities, but a combination of distinct factors driven by users' perspectives. This offers healthcare administrators and institutions to essentially reflect on the distinct combinations of conditions favourable to health professionals who can use IoTs and BDA for healthcare improvement.Originality/valueThis study is among the few scholarly works to empirically investigate the configural paths to support healthcare improvement with emerging technologies. Using fsQCA is a unique contribution to existing information system literature for configural paths for healthcare improvement with emerging digital technologies.
Exploring the application of BIM in Tanzanian public sector projects using social network analysis
Authors: Abdallah Abdullatif , Doloi Hemanta , Holzer Dominik 
Published: May 2023

PurposeThe present study employs social network analysis (SNA) to demonstrate the extent to which various building information modeling (BIM) functions can be used to address significant issues faced by the Tanzanian public sector construction projects.Design/methodology/approachThis study adopted secondary data obtained from a comprehensive literature review on core BIM functions and the underlying issues faced by the Tanzanian public sector construction projects. This study then adopted SNA for associating the BIM functions with relevant construction issues.FindingsFor Objective 1, the findings revealed that BIM can address 68% of significant issues faced by the Tanzanian public sector construction projects. For Objective 2, the findings revealed that the identified functions mainly addressed issues in the early phases of the project. Finally, for Objective 3, the most effective function was “spatial coordination.”Research limitations/implicationsThis literature-based study does not fully capture both the current contextual issues faced by the industry and the BIM capability of stakeholders involved. In addition, this research does not distinguish between public project size and type which can influence the types of issues faced and consequently the use of BIM function. Accordingly, the research presented in this study needs to be complemented by on-the-ground feedback of industry stakeholders and needs to investigate how project size and type impacts the types of issues that emerge and the use of BIM.Practical implicationsWith respect to practice, the findings of the present study highlight key BIM functions practitioners can begin to target.Social implicationsIn Tanzania, public sector construction projects contribute greatly to social development of Tanzania's population. Owing to the current state of public sector projects underperforming and the negative impact the projects have on the country's development, an intervention measure such as BIM has the potential to enhance the effective and efficient delivery of these projects and thereby promote the social development of the country's population.Originality/valueWith respect to theory, this study demonstrates how core functions of BIM can be mapped with various construction-related issues in order to evaluate the efficacies of the BIM-based investments for improving overall performance in the public sector projects. With respect to practice, the method illustrated in the present study can be applied by policymakers and practitioners to identify core BIM functions to target to address pressing contextual issues faced by public sector projects in the respective contexts.
Managing interorganizational renqing practices in high-performance organizations in Taiwan: the when, where and how of renqing giving
Authors: Hui Wei-Shen , Chen Houn-Gee , Chiu Yi-Te , Raskovic Matevz (Matt) 
Published: May 2023

PurposeRelationships are a critical success factor for business operations across markets with dominant Chinese culture, like Taiwan. The intersection of a high-quality institutional environment and a traditional Chinese cultural background in Taiwan provides a unique setting for exploring different types of relational mechanisms and ensuing renqing practices (i.e. reciprocal exchange of favors with empathy). The purpose of this paper is to examine when, where and how Taiwanese high-performance organizations manage and deploy interorganizational renqing across their business relationship portfolios. Answering these questions can help build a theory of interorganizational renqing and advance interorganizational reciprocity theorization more generally.Design/methodology/approachThis research is motivated by two key research questions. First is related to how renqing givers understand renqing in the context of their organizations and their interorganizational business relationship portfolios. Second, whether organizations prefer a neutral renqing balance, a renqing debt or a renqing surplus is another point of interest. The study is based on interviews with upper echelon elite informants at six high-performing Taiwanese organizations with business relationship portfolios worldwide.FindingsIt is found that interorganizational renqing is deployed as a hybrid resource, taking on the functions of both an investment and a type of insurance against risk. Two notable differences between interorganizational and interpersonal renqing are also noted. First, the social exchange norm aspect of renqing points to salient social exchange norms also in interorganizational exchanges. This confirms the importance of understanding not only the regulative and normative dimensions of business relationships, as a type of institution, but also the cognitive dimensions and underlying institutional logics. Second, this study shows that unlike at the interpersonal level, the notion of renqing debt is not common at the interorganizational level – at least not within high-performance organizations with market leader positions.Originality/valueThis study explores interorganizational renqing practices and their strategic deployment through the use of “accessing” and “embedding” relational mechanisms. The study also adds to the poorly understood nature of interorganizational reciprocity and provides support for developing a theory of interorganizational renqing, as a form of interorganizational reciprocity within a Chinese cultural context.
The source of MNE superiority from within or from outside? – A response to “the importance of being transnational”
Authors: Forsgren Mats , Yamin Mo 
Published: May 2023

Purpose
The purpose of this paper is to respond to the comments by professor Ietto-Gillies on the paper on “The MNE as the Crown of Creation?”

Design/methodology/approach
The authors argue that the key points made in the commentary are broadly complementary to the arguments set out in the “Crown of Creation?”

Findings
The authors agree with the commentary that sources of advantages of multinationality lie “outside the MNE” – through its interactions with national governments and organised labour. However, the authors would caution that the achievement of such advantages may encounter constraints.

Research limitations/implications
The original paper (“The MNE as the Crown of Creation?”) was a critique of mainstream theories of the MNE regarding the assumed superiority of the MNE. The response to the paper makes the argument that any superiority associated with MNE must be sought in its interactions with other actors.

Practical implications
The argument suggests that MNE managers seeking to exploit the advantage of multinationality through production shifting must be aware of the system-wide consequences of such actions.

Social implications
Given the conceptual nature of the argument and the level of abstraction, solid social implications can only be drawn tentatively.

Originality/value
The key novelty in the response paper is the possible negative effect – for MNEs – of unconstrained exercise of production shifting.
Performance reporting in the healthcare sector: evidence from Italian healthcare organisations
Authors: Aversano Natalia , Ferullo Diana , Nicolò Giuseppe , Ardito Nadia 
Published: May 2023

PurposeThe present research aims to understand the performance disclosure levels provided by Italian healthcare organisations (HCOs). The authors conducted this study to assess the transparency of HCOs' performance reporting processes by examining the amount and the type of information disclosed in Annual Performance Reports (APRs).Design/methodology/approachThe present study uses a qualitative research methodology based on manual content analysis. The APRs of a sample of 171 Italian public HCOs were analysed.FindingsResults evidence that the APRs provide a sufficient level of disclosure of performance information, putting high attention on the epidemiological conditions; however, the APRs do not present a strong information function for stakeholders' decision-making purposes. The Italian HCOs APRs are not easily understandable because the APRs are not very concise and present information mainly in discursive terms with limited graphic support.Originality/valueTo the best of the authors' knowledge, this is the first research investigating both the extent and type of performance information reported by Italian HCOs in the APRs, considering the particular contextual conditions caused by the most significant challenge the healthcare (HC) sector has faced in recent years: the epidemiological crisis of the coronavirus disease 2019 (COVID-19). The study also explores whether APRs are currently used by HCOs as a merely regulatory requirement or as an information tool for accountability and decision-making purposes.
Advanced weighted hybridized approach for recommendation system
Authors: Banik Debajyoty , Satapathy Suresh Chandra , Agarwal Mansheel 
Published: May 2023

Purpose
This paper aims to describe the usage of a hybrid weightage-based recommender system focused on books and implementing it at an industrial level, using various recommendation approaches. Additionally, it focuses on integrating the model into the most widely used platform application.

Design/methodology/approach
It is an industrial level implementation of a recommendation system by applying different recommendation approaches. This study describes the usage of a hybrid weightage-based recommender system focused on books and putting a model into the most used platform application.

Findings
This paper deals with the phases of software engineering from the analysis of the requirements, the actual making of the recommender model to deployment and testing of the application at the user end. Finally, the hybridized system outperforms over other existing recommender system.

Originality/value
The proposed recommendation system is an industrial level implementation of a recommendation system by applying different recommendation approaches. The recommendation system is centralized to books and its recommendation. In this paper, the authors also describe the usage of a hybrid weightage-based recommender system focused on books and putting a model into the most used platform application. This paper deals with the phases of software engineering from the analysis of the requirements, the actual making of the recommender model to deployment and testing of the application at the user end. Finally, the newly created hybridized system outperforms the Netflix recommendation model as well as the Hybrid book recommendation system model as has been clearly shown in the Results Analysis section of the book. The source-code can be available at https://github.com/debajyoty/recomender-system.git.
Psychological and demographic predictors of investment in cryptocurrencies during a crisis in the MENA region: the case of Lebanon
Authors: El-Chaarani Hani , Mawad Jeanne Laure , Mawad Nouhad , Khalife Danielle 
Published: May 2023

PurposeThe purpose of this study is to discover the motivating factors for cryptocurrency investment during an economic crisis in the MENA region, with reference to the economic crisis of 2019–2022, in Lebanon.Design/methodology/approachThe authors used t-test, and logistic regressions on a sample of 254 Lebanese investors to differentiate between cryptocurrency investors, and non-investors. Linear regressions of a subsample of cryptocurrency investors determined the factors that explained increasing cash investment in cryptocurrencies. Data were collected from investors in Lebanon, which could limit the generalization of the research results across the MENA region.FindingsInvestors differed from non-investors in that they were male, owned investments in the stock, bond and commodity markets, had prior investment experience in cryptocurrencies, were risk-takers and had expectations of high returns. Investors increased the dollar investment in cryptocurrencies, if they were male, as they invested more funds in securities, had previously invested in cryptocurrencies and had stronger risk-taking propensity. Expectations of high returns drove investors to cryptocurrencies, but such expectations do not stimulate further cryptocurrency investment.Originality/valueThis study is an initial attempt to comprehend the reactions of investors in the MENA region to a currency crisis that triggered investment in cryptocurrencies following the collapse of fiat currencies, central bank default and restrictions on bank withdrawals.
Corruption, crime and investments by firms in emerging economies
Authors: Boamah Nicholas Addai , Ofori-Yeboah Francis , Owusu-Ansah Martin 
Published: May 2023

PurposeThe study aims to investigate the effect of corruption and crime on the investments by firms in emerging economies (EEs).Design/methodology/approachThe study adopts the generalised methods of moments (GMM) estimator and data across 57 EEs.FindingsThe study shows that crime management, corruption and external quality assurance drive-up investments. Additionally, investments decline with firm age and crime incidence. Corruption and crime managements increase investments by exporting firms more than non-exporting firms investments. Also, external auditor services benefit investments by large firms more than small-medium firms.Originality/valueThere is a need for EEs to implement policies that will curtail corruption and create a level playing field and sustainable firm growth. EEs firms must be innovative to expand their productive investments and grow over time. Also, EEs firms should seek external quality certification, invest in internal security and monitor goods in transit.