bluuebunny/crossref_metadata_2025_split huggingface dataset:
The orexigenic force of olfactory palatable food cues in sated rats
Authors: Peris-Sampedro Fiona , Stoltenborg Iris , Le May Marie V. , Solé-Navais Pol , Adan Roger A. H. , Dickson Suzanne L. 
Published: July 2021

AbstractBackgroundEnvironmental cues recalling palatable foods are ubiquitous and motivate eating beyond metabolic need, yet the timing of this response and whether it can develop towards a non-palatable readily available food remain elusive. Although there is increasing evidence indicating that external stimuli in the olfactory modality can communicate with the major hub in the feeding neurocircuitry, the hypothalamic arcuate nucleus (Arc), the identity of hypothalamic substrates has been only partially uncovered.MethodsUsing a palatable home-cage hidden-food paradigm, we investigate the ability of olfactory food cues to promote chow overconsumption in sated male rats, together with their impact on meal pattern. We likewise explore, by means of an immediate early gene marker, the neural mechanisms involved, including the possible engagement of the orexigenic ghrelin system.ResultsOlfactory detection of a familiar palatable food shifts diurnal patterns towards an increase in meal frequency to cause persistent overconsumption of chow in sated conditions. In line with the orexigenic response observed, sensing the palatable food in the environment stimulates food-seeking and risk-taking behavior, and also triggers release of active ghrelin. Olfactory food cues recruit intermingled populations of cells embedded within the feeding circuitry within the Arc, including, notably, those containing the ghrelin receptor, even when food is not available for consumption.ConclusionsThese data demonstrate leverage of ubiquitous food cues, not only for palatable food-searching, but also to powerfully drive food consumption in ways that resonate with heightened hunger, for which the orexigenic ghrelin system is implicated.
Development of Kaptive databases for Vibrio parahaemolyticus O- and K-antigen serotyping
Authors: van der Graaf – van Bloois Linda , Chen Hongyou , Wagenaar Jaap A. , Zomer Aldert L. 
Published: July 2021

AbstractVibrio parahaemolyticus is an important food-borne human pathogen and is divided in 16 O- serotypes and 71 K-serotypes. Agglutination tests are still the gold standard for serotyping, but many V. parahaemolyticus isolates are not typable by agglutination. An alternative for agglutination tests is serotyping using whole genome sequencing data. In this study, V. parahaemolyticus isolates are serotyped and sequenced, and all known and several novel O- and K-loci are identified. We developed Kaptive databases for all O- and K-loci after manual curation of the loci. These Kaptive databases with the identified V. parahaemolyticus O- and K -loci can be used to identify the O- and K-serotypes of V. parahaemolyticus isolates from genome sequences.
Breast invasive ductal carcinoma classification on whole slide images with weakly-supervised and transfer learning
Authors: Kanavati Fahdi , Tsuneki Masayuki 
Published: July 2021

AbstractInvasive ductal carcinoma (IDC) is the most common form of breast cancer. For the non-operative diagnosis of breast carcinoma, core needle biopsy has been widely used in recent years which allows evaluation of both cytologic and tissue architectural features; so that it can provide a definitive diagnosis between IDC and benign lesion (e.g., fibroadenoma). Histopathological diagnosis based on core needle biopsy specimens is currently the cost effective method; therefore, it is an area that could benefit from AI-based tools to aid pathologists in their pathological diagnosis workflows. In this paper, we trained an Invasive Ductal Carcinoma (IDC) Whole Slide Image (WSI) classification model using transfer learning and weakly-supervised learning. We evaluated the model on a core needle biopsy (n=522) test set as well as three surgical test sets (n=1129) obtaining ROC AUCs in the range of 0.95-0.98.
LI-Seq: A Cost-Effective, Low Input DNA method for Whole Genome Library Preparation
Authors: Schweizer Teia M. , DeSaix Matthew G. , Ruegg Kristen C. 
Published: July 2021

SummarySamples from species of high conservation concern are often low in total genomic DNA. Whole Genome Sequencing (WGS) can provide many insights that can be used to aid in species conservation, but current methods for working with low quality and low input samples can be cost prohibitive for population level genomic analyses. Thus, there is an urgent need for a cost-effective method of preparing WGS libraries from low input DNA samples.To bridge the gap between sampling techniques commonly used in conservation genetics that yield low quality and low input DNA and the powerful tool of WGS, we developed LI-Seq, a more efficient method that successfully produces libraries from low quality DNA with as low input as 0.48 ng of DNA, with an average final library size of 300-500 base pairs.Sequencing results suggest no difference in sequencing quality or coverage between low quality, low input and high quality, high input starting material using our protocol. We conclude that our new method will facilitate high-throughput WGS on low quality, low input samples, thus expanding the power of genomic tools beyond traditional high quality samples.
Predictability and parallelism in the contemporary evolution of hybrid genomes
Authors: Langdon Quinn K. , Powell Daniel L. , Kim Bernard , Banerjee Shreya M. , Payne Cheyenne , Dodge Tristram O. , Moran Ben , Fascinetto-Zago Paola , Schumer Molly 
Published: July 2021

AbstractHybridization between species is widespread across the tree of life. As a result, many species, including our own, harbor regions of their genome derived from hybridization. Despite the recognition that this process is widespread, we understand little about how the genome stabilizes following hybridization, and whether the mechanisms driving this stabilization tend to be shared across species. Here, we dissect the drivers of variation in local ancestry across the genome in replicated hybridization events between two species pairs of swordtail fish: Xiphophorus birchmanni × X. cortezi and X. birchmanni × X. malinche. We find unexpectedly high levels of repeatability in local ancestry across the two types of hybrid populations. This repeatability is attributable in part to the fact that the recombination landscape and locations of functionally important elements play a major role in driving variation in local ancestry in both types of hybrid populations. Beyond these broad scale patterns, we identify dozens of regions of the genome where minor parent ancestry is unusually low or high across species pairs. Analysis of these regions points to shared sites under selection across species pairs, and in some cases, shared mechanisms of selection. We show that one such region is a previously unknown hybrid incompatibility that is shared across X. birchmanni × X. cortezi and X. birchmanni × X. malinche hybrid populations.
Mapping circuit dynamics during function and dysfunction
Authors: Gorur-Shandilya Srinivas , Cronin Elizabeth M. , Schneider Anna C. , Haddad Sara Ann , Rosenbaum Philipp , Bucher Dirk , Nadim Farzan , Marder Eve 
Published: July 2021

AbstractNeural circuits can generate many spike patterns, but only some are functional. The study of how circuits generate and maintain functional dynamics is hindered by a poverty of description of circuit dynamics across functional and dysfunctional states. For example, although the regular oscillation of a central pattern generator is well characterized by its frequency and the phase relationships between its neurons, these metrics are ineffective descriptors of the irregular and aperiodic dynamics that circuits can generate under perturbation or in disease states. By recording the circuit dynamics of the well-studied pyloric circuit inC. borealis, we used statistical features of spike times from neurons in the circuit to visualize the spike patterns generated by this circuit under a variety of conditions. This unsupervised approach captures both the variability of functional rhythms and the diversity of atypical dynamics in a single map. Clusters in the map identify qualitatively different spike patterns hinting at different dynamical states in the circuit. State probability and the statistics of the transitions between states varied with environmental perturbations, removal of descending neuromodulation, and the addition of exogenous neuromodulators. This analysis reveals strong mechanistically interpretable links between complex changes in the collective behavior of a neural circuit and specific experimental manipulations, and can constrain hypotheses of how circuits generate functional dynamics despite variability in circuit architecture and environmental perturbations.
Feeling guilty and willingness to buy organic food: the moderating role of motherhood
Authors: Konuk Faruk Anıl 
Published: July 2021

PurposeThe main purpose of the study is to examine the moderating influence of motherhood on the linkage between feeling guilty and willingness to buy organic food.Design/methodology/approachThe data were collected using a questionnaire from female consumers and analyzed with structural equation modeling.FindingsThe structural equation model results revealed that food safety concern and environmental concern influence feeling guilty about buying conventional food products. The empirical findings also supported the positive effect of feeling guilty on willingness to buy organic food. Additionally, for mother consumers, the impact of food safety concern and environmental concern on feeling guilty was greater than non-mother consumers. Similarly, moderator analyses revealed that the influence of feeling guilty on willingness to buy organic food is significantly higher for mothers.Originality/valueReferring to the attitude-behavior-context (ABC) theory, the current research aimed at filling the knowledge void by examining how motherhood moderates the relationship between feeling guilty and willingness to buy organic food. Hence, understanding the moderation role of motherhood provides newer insights into consumer behavior and marketing literature. The results of the research can help both organic food producers and retailers to develop successful marketing strategies.
A comprehensive overview on BIM-integrated cyber physical system architectures and practices in the architecture, engineering and construction industry
Authors: Banerjee Anish , Nayaka R. Ramesh 
Published: July 2021

Purpose
The purpose of this paper is to investigate building information modelling (BIM) integrated Internet of Things (IoT) architectures extensively and provide comparative evaluation of those against deciding parameters pertaining to their characteristics and subsequent applications in construction industry.

Design/methodology/approach
This paper identifies BIM-integrated cyber physical system frameworks, specific to project objectives, comprising of sensors working as physical assets and BIM-based virtual models acting as the cyber component , connected via wired or wireless protocols (e.g. WiFi, Zigbee, near-field communication, mobile-to-mobile, Zwave, 3 G, 4 G, long-term evolution, 5 G and low-power wide-area networks) and their potential applications in decision-making, visual management, logistics and supply chain management, smart building system management and structural performance assessment, etc. Such proposed architectures are evaluated against deciding parameters such as availability, reliability, mobility, performance, management, scalability, interoperability and security and privacy to evaluate their respective efficiencies.

Findings
This study finds that the underlying aim of planned IoT frameworks is to integrate systems and processes for a better information flow and to initiate shift from silo solutions to a smart ecosystem. The efficiencies of such frameworks are completely subjective to their respective project natures, objectives and requirements.

Originality/value
This study is unique in its nature to identify requirements of an efficient BIM-integrated IoT architecture and provide comprehensive insights about potential applications in construction industry.
A hybrid simulation approach for site layout planning in construction projects
Authors: Taghaddos Hosein , Heydari Mohammad Hosein , Asgari AmirHosein 
Published: July 2021

Purpose
This study aims to propose a hybrid simulation approach for site layout and material laydown planning in construction projects considering both the project’s continuous and discrete state.

Design/methodology/approach
Efficient site layout planning (SLP) is a critical task at the early stages of the project to enhance constructability and reduce safety risks, construction duration and cost. In this paper, external and internal conditions affecting SLP gets identified. Then dynamic features of project conditions and project operations are analyzed by using a hybrid simulation approach combining continuous simulation (CS) and discrete event simulation (DES).

Findings
An efficient site layout plan regarding the project conditions results in cost efficiency. Instead of using DES or CS alone, this paper uses a hybrid simulation approach. Such a hybrid method leads to more accurate results that enable construction managers to make better decisions, such as material management variables. The proposed approach is implemented in a real construction project (i.e. earthmoving operation) to evaluate the hybrid simulation approach’s performance.

Practical implications
The proposed approach is implemented in a real construction project (i.e. earthmoving operation) to evaluate the performance of the hybrid simulation approach.

Originality/value
Although DES is used widely in construction simulation, it involves some limitations or inefficiencies. On the other hand, modeling resource interactions and capturing the construction project’s holistic nature with CS or system dynamics face some challenges. This study uses a hybrid DES and CS approach to enhance commercial construction projects’ SLP.
Employee socio-economic dependency as an antecedent of abusive supervision in Russian business organisations
Authors: Balabanova Evgeniya 
Published: July 2021

PurposeThe purpose of this paper is to identify previously unexamined predictors of abusive supervision (AS) that stem from socio-economic dependency of employees upon their direct supervisors.Design/methodology/approachUsing social exchange theory (SET) as framework, the author conducted empirical analysis that was based on survey data collected among 1,100 Russian white-collar private sector employees.FindingsThe results reveal the importance of organisation-level managerial practices which create employees' socio-economic dependency in predicting abusive supervision (AS). Significant positive predictions of AS in Russian business organisations are “accidental” and “zero-option” employment; getting a job through informal social contacts (“blat”); and dependence of wage upon personal relations with a supervisor. In turn, performance-based payment is the strongest factor that hinders AS. Taken together, these factors support one of the key assumptions of SET that control over valued resources creates imbalanced power relations, thus providing the fertile ground to the abuse of power.Practical implicationsFindings show that a transparent, performance-based system of payments, contributes to preventing AS by immediate supervisors. The author also provides arguments for reducing the economic and administrative power of line managers.Originality/valueThis study adds to the understanding of the role of managerial practices, which create socio-economic dependency of employees from managers, in predicting AS in organisations.
There is no good war for talent: a critical review of the literature on talent management
Authors: Kwon Kibum , Jang Soebin 
Published: July 2021

PurposeThe purpose of this paper is to provide a critical review of the literature on talent management (TM) and highlight the potential downsides of exclusive TM approaches and workforce differentiation.Design/methodology/approachA literature review of 32 theoretical and empirical studies published in peer-reviewed scholarly journals in the field of TM was conducted.FindingsThe review resulted in four overarching themes that highlight the dysfunctional aspects of exclusive TM approaches and workforce differentiation: (a) organizational justice, (b) ethics, (c) internal competition and (d) workplace diversity. Based on the four themes, the authors present a conceptual model that includes a feedback loop for reevaluating and improving on existing TM processes. Several research questions and propositions are also presented for consideration in future TM research.Research limitations/implicationsThis paper highlights the need for more empirical studies and statistically rigorous evidence to demonstrate and justify the effectiveness of TM.Practical implicationsThe authors suggest that the locus of TM practices should be shifted from managing individual job competencies to managing organizational capabilities.Originality/valueThis review illuminates the need to reevaluate existing TM approaches and minimize TM's potential downsides for long-term organizational health and competitiveness.
Evaluation of societal trust on multi-hazard early warning (MHEW) mechanism: Sri Lankan context
Authors: Pitigala Liyana Arachchi Ishani Shehara , Siriwardana Chandana , Amaratunga Dilanthi , Haigh Richard 
Published: July 2021

Purpose
It is significant to assess the societal trust toward the new advancements in multi-hazard early warnings (MHEW) with the focus on disaster risk reduction (DRR). Based on this, the purpose of this paper is to examine the extent of societal trust behavior along with the parameters such as mode of communication and institutions of issuing early warnings (EWs).

Design/methodology/approach
A field questionnaire survey was conducted to identify the extent of societal trust. This was conducted in ten selected Grama Niladari divisions in Sri Lanka based on a developed hazard matrix. The fuzzy logic approach was applied to examine the trust level of collected 323 responses obtained through this. The analysis was done based on the responses on mobile-based platforms in EW and the credibility level of the warnings received through different institutions.

Findings
The analyzed survey responses indicated that society has a higher extent of trust toward the EWs disseminated through mobile-based platforms. Moreover, these represent a strong positive correlation among the societal trust level and the level of importance of EW dissemination through mobile-based platforms. Further, in terms of trusted stakeholders in issuing EW alerts, Disaster Management Center, Sri Lanka Police and Media ranked the highest in the Sri Lankan context. Overall, findings were visually mapped through the causal loop diagrams (CLDs).

Practical implications
In enhancing the effectiveness of the existing MHEW mechanism, the policy implications could be done, based on the results obtained from this research study. These could be altered with the implementation of DRR strategies with a community focus.

Originality/value
The fuzzy logic approach was used in the determination of the societal decision-making on the extent of trust level. Fuzzy triangulation is mainly applied in the interpretation of the results. Further, overall parameters that determine the community trust on MHEW are represented through CLDs through system dynamics application.
Predicting patterns of persistence at a South African university: a decision tree approach
Authors: Paideya Vino , Bengesai Annah V. 
Published: July 2021

PurposeThe emerging field of educational data mining provides an opportunity to process large-scale data emerging from higher education institutions (HEIs) into reliable knowledge. The purpose of this paper is to examine factors influencing persistence amongst students enrolled in a Chemistry major at a South African university using enrolment data.Design/methodology/approachThe sample consisted of 511 students registered for a Chemistry major beginning in 2012, 2013 and 2014. Descriptive statistics in counts and percentages and classification (decision) tree methods were used in the analysis.FindingsGraduation from the Chemistry major is likely to occur after 4 years, which is regulation time plus 1 year, whilst departure mainly occurs in the first year of study. Classification tree modelling demonstrated that first year accumulated credits (FYAC), gender, financial aid status and school quintile were the factors associated with persistence. FYAC was the most critical factor.Research limitations/implicationsAlthough this study has many strengths, significantly the use of data mining methods to classify students, some limitations might affect how the results are interpreted. First, the analysis focused on a one-degree major in one institution, which leads to the suspicion that the observed results are discipline or institution-specific. Thus, the findings cannot be generalised to other contexts or disciplines. Second, with so many potential factors influencing student persistence, the analysis presented in this paper, which was limited to the covariates obtained in the institutional dataset the authors used, is by no means exhaustive. There is the possibility that some factors, which are not included in the present analysis, might have more predictive power.Originality/valueGlobally, university administrators are interested in predicting student outcomes and understanding the intricate balance between enrolment and throughput. Thus, whilst the findings from this study have an institutional focus, they resonate with other HEIs and present an alternative and highly visual way of identifying specific combinations of factors associated with persistence. The results from a classification tree model can also classify students at risk and inform the development of interventions that will support them.
Exploring vulnerability and resilience of shipping for coastal communities during disruptions: findings from a case study of Vancouver Island in Canada
Authors: Islam Samsul , Goerlandt Floris , Uddin Mohammad Jasim , Shi Yangyan , Abdul Rahman Noorul Shaiful Fitri 
Published: July 2021

PurposeThis study aims to improve understanding of how coastal maritime transport system of Vancouver Island would be disrupted in disaster events, and the strategies could be used to address such risks. Any transport disruption at the maritime leg of the supply chain can affect the needs of vulnerable residents and thus, the supply of many goods to coastal communities.Design/methodology/approachThis case study focuses on the disruption that can be expected to occur for ferries that serves coastal communities of Vancouver Island in Canada. A landslide scenario in the Fraser River (which connects coastal communities) is developed, and interviews and focus groups are used to gain understanding of the vulnerability and resilience of shipping.FindingsThe findings show that the maritime leg of the supply chain for the coastal communities of Vancouver Island is resilient to a landslide disruption of ferries. Besides, there would be no impact on the operability of tugs and barges. This study also offers suggestions for creating the conditions for increasing resilience of maritime supply chains to any such disruption.Research limitations/implicationsA research gap exists with respect to minimizing disruption in maritime supply chains, mainly in regard to lessening the impact on the vulnerable residents of coastal communities. This study contributes to filling this gap in the literature.Practical implicationsThe findings have significant implications for maritime service providers and for people working on disaster preparedness, emergency response and recovery.Originality/valueStudies which focus on alleviating the impact of disruptions in the maritime supply chains and the mitigation strategies for coastal communities are scarce in the literature.