bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating Sample Augmentation in Microarray Datasets with Generative Models: A Comparative Pipeline and Insights in Tuberculosis
Authors: Gupta Ayushi , Ahmad Saad , Sune Atharva , Gupta Chandan , Kaur Harleen , Kutum Rintu , Sethi Tavpritesh 
Published: May 2021

AbstractHigh throughput screening technologies have created a fundamental challenge for statistical and machine learning analyses, i.e., the curse of dimensionality. Gene expression data are a quintessential example, high dimensional in variables (Large P) and comparatively much smaller in samples (Small N). However, the large number of variables are not independent. This understanding is reflected in Systems Biology approaches to the transcriptome as a network of coordinated biological functioning or through principal Axes of variation underlying the gene expression. Recent advances in generative deep learning offers a new paradigm to tackle the curse of dimensionality by generating new data from the underlying latent space captured as a deep representation of the observed data. These have led to widespread applications of approaches such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), especially in domains where millions of data points exist, such as in computer vision and single cell data. Very few studies have focused on generative modeling of bulk transcriptomic data and microarrays, despite being one of the largest types of publicly available biomedical data. Here we review the potential of Generative models in recapitulating and extending biomedical knowledge from microarray data, which may thus limit the potential to yield hundreds of novel biomarkers. Here we review the potential of generative models and conduct a comparative analysis of VAE, GAN and gaussian mixture model (GMM) in a dataset focused on Tuberculosis. We further review whether previously known axes genes can be used as an effective strategy to employ domain knowledge while designing generative models as a means to further reduce biological noise and enhance signals that can be validated by standard enrichment approaches or functional experiments.
Collaborative processing and data optimization of environmental perception technologies for autonomous vehicles
Authors: Song Haina , Zhou Shengpei , Chang Zhenting , Su Yuejiang , Liu Xiaosong , Yang Jingfeng 
Published: May 2021

Purpose
Autonomous driving depends on the collection, processing and analysis of environmental information and vehicle information. Environmental perception and processing are important prerequisite for the safety of self-driving of vehicles; it involves road boundary detection, vehicle detection, pedestrian detection using sensors such as laser rangefinder, video camera, vehicle borne radar, etc.

Design/methodology/approach
Subjected to various environmental factors, the data clock information is often out of sync because of different data acquisition frequency, which leads to the difficulty in data fusion. In this study, according to practical requirements, a multi-sensor environmental perception collaborative method was first proposed; then, based on the principle of target priority, large-scale priority, moving target priority and difference priority, a multi-sensor data fusion optimization algorithm based on convolutional neural network was proposed.

Findings
The average unload scheduling delay of the algorithm for test data before and after optimization under different network transmission rates. It can be seen that with the improvement of network transmission rate and processing capacity, the unload scheduling delay decreased after optimization and the performance of the test results is the closest to the optimal solution indicating the excellent performance of the optimization algorithm and its adaptivity to different environments.

Originality/value
In this paper, the results showed that the proposed method significantly improved the redundancy and fault tolerance of the system thus ensuring fast and correct decision-making during driving.
Evolved auxiliary controller with applications to aerospace
Authors: Chen Tim , Kapronand N. , Hsieh C.Y. , Cy Chen J. 
Published: May 2021

Purpose
To guarantee the asymptotic stability of discrete-time nonlinear systems, this paper aims to propose an evolved bat algorithm fuzzy neural network (NN) controller algorithm.

Design/methodology/approach
In evolved fuzzy NN modeling, the NN model and linear differential inclusion representation are established for the arbitrary nonlinear dynamics. The control problems of the Fisher equation and a temperature cooling fin for high-speed aerospace vehicles will be described and demonstrated. The signal auxiliary controlled system is represented for the nonlinear parabolic partial differential equation (PDE) systems and the criterion of stability is derived via the Lyapunov function in terms of linear matrix inequalities.

Findings
This representation is constructed by sector nonlinearity, which converts the nonlinear model to a multiple rule base for the linear model and a new sufficient condition to guarantee the asymptotic stability.

Originality/value
This study also injects high frequency as an auxiliary and the control performance to stabilize the nonlinear high-speed aerospace vehicle system.
An ecocentric approach to defining a public park system
Authors: Aly Dalia , Dimitrijevic Branka 
Published: May 2021

PurposeThis research aims at examining public parks as a complex, interrelated system in which a public park’s natural system and its man-made system can work together within an ecocentric approach. It will create a framework that can support the design and management of public parks.Design/methodology/approachThe article first introduces previous research and justifies the need for a new approach. It then uses conceptual analysis to examine the concepts that construct a park’s system through previous theoretical research. Finally, the public park system is constructed by synthesising its components and showing the interrelations between them. These components are defined based on previous theoretical and empirical research.FindingsA public park system is defined as consisting of a natural system and a man-made system with multiple components that interact to offer the overall experience in a park. The defined system can be a useful tool for decision-makers, managers and designers in the analysis and evaluation of existing and potential projects to achieve multifunctional parks that are better utilised and have a wider influence.Originality/valueThe research offers an alternative approach for framing public parks that do not deal with their components in isolation from each other. This view of public parks brings together perspectives from different literature into one coherent framework that emphasises mutual dependencies and interactions in one integrated whole.
Understanding the evolution of the slack–performance relationship from a bibliometric perspective
Authors: Agustí María A. , Galán José L. , Acedo Francisco J. 
Published: May 2021

PurposeThe purpose of this paper is to analyse and classify the literature that links slack resources with performance, determining the diversity and coherence within the field, as well as possible future research trends.Design/methodology/approachUsing Web of Science information, a dynamic co-citation and co-word analysis was developed, enabling identification of the theoretical foundations that have accompanied the study of the slack–performance relationship and the research trends associated with these types of resources and their temporal evolution.FindingsDocument co-citation and co-word analysis and its evaluation present a growing diversity of literature but which maintains links to the core works, giving coherence to this research field. The key theoretical approaches remain stable over time but with fragmentation of the topics analysed. Results allowed identification of a number of emerging research trends, achieving a level of consolidation within the field, with research fronts linked to those trends.Originality/valueSlack resources have a large trajectory within the management field. However, it is believed only basic bibliometric analyses of the literature have been made and none has developed an analysis of the evolution. This work is useful not only for incipient researchers to better understand the theoretical bases upon which the current work is based but also for the identification of possible gaps and unanswered research questions. The results complement previous research, with qualitative or meta-analytic perspectives, fundamental in understanding the structure and evolution of this research field.
A Markov logic network method for reconstructing association rule-mining tasks in library book recommendation
Authors: Wang Shanshan , Xu Jiahui , Feng Youli , Peng Meiling , Ma Kaijie 
Published: May 2021

PurposeThis study aims to overcome the problem of traditional association rules relying almost entirely on expert experience to set relevant interest indexes in mining. Second, this project can effectively solve the problem of four types of rules being present in the database at the same time. The traditional association algorithm can only mine one or two types of rules and cannot fully explore the database knowledge in the decision-making process for library recommendation.Design/methodology/approachThe authors proposed a Markov logic network method to reconstruct association rule-mining tasks for library recommendation and compared the method proposed in this paper to traditional Apriori, FP-Growth, Inverse, Sporadic and UserBasedCF algorithms on two history library data sets and the Chess and Accident data sets.FindingsThe method used in this project had two major advantages. First, the authors were able to mine four types of rules in an integrated manner without having to set interest measures. In addition, because it represents the relevance of mining in the network, decision-makers can use network visualization tools to fully understand the results of mining in library recommendation and data sets from other fields.Research limitations/implicationsThe time cost of the project is still high for large data sets. The authors will solve this problem by mapping books, items, or attributes to higher granularity to reduce the computational complexity in the future.Originality/valueThe authors believed that knowledge of complex real-world problems can be well captured from a network perspective. This study can help researchers to avoid setting interest metrics and to comprehensively extract frequent, rare, positive, and negative rules in an integrated manner.
The voice of patients in Israel's general hospitals
Authors: Semyonov-Tal Keren 
Published: May 2021

PurposeThe purpose of this study is to capture the variety of issues that concern patients and to examine the extent to which personal characteristics of patients, such as education, ethnicity, age, gender and conditions of hospitalisation, influence the tendency to “express (negative) voice” and raise “critical views”.Design/methodology/approachUsing data obtained from the 2014 Survey of Health Satisfaction in Israel, the study focuses on patients' responses to an open-ended question regarding the medical care experience in hospitals.FindingsThe analysis reveals that “the voice of patients” spreads across a wide variety of issues, including the physical condition of the hospital and caregiver behaviour. Multivariate regression models show that subgroups with greater access to social and economic resources (i.e. in Israel, individuals who are Jewish), academics, women and younger patients are more likely to express critical voice regarding the hospitalisation experience. Likewise, inferior hospitalisation conditions are likely to increase expression of negative “voice” and criticism.Originality/valueThe findings underscore the importance and value of open-ended questions in evaluating healthcare satisfaction, suggesting that the likelihood of expressing critical voice is higher among patients of high socio-economic status – perhaps because they are more likely to expect, demand and feel entitled to high-quality care. Likewise, inferior hospitalisation conditions increase the critical voice.
Housing policy research in India: a scoping review and thematic analysis
Authors: Khaire Manav , Muniappa Nagaraj 
Published: May 2021

Purpose
In India – the largest democracy and second most populated country globally – the housing research domain is relatively under-researched and under-theorized. To support and advance research in this domain, this study aims to form and organize the repository of extant academic knowledge in the subject matter of housing research in India.

Design/methodology/approach
This study uses a scoping review methodology and a thematic analysis method. All the articles analyzed in this study were systematically searched by following the scoping review approach proposed by Arksey and O’Malley (2005). An initial search found 365 articles and finally, 108 articles that met the inclusion criteria were analyzed using the thematic analysis method.

Findings
The data extracted from these 108 articles were analyzed using thematic analysis to arrive at four thematic areas, namely, housing policy, slum housing, housing finance and affordable housing. These thematic areas and 11 sub-themes present under them were used to present a thematic map of housing policy research in India.

Practical implications
This paper contributes to presenting an up-to-date literature review of the housing policy research in India.

Originality/value
To the best of our knowledge, this scoping review focused on housing research in India is the first of its kind. We hope that this study provides a repository of extant research on housing research in India to help current and future researchers.
Shariah-compliant equities and Shariah screening: need for convergence of ethical screening of stocks with Shariah screening
Authors: Tanin Tauhidul Islam , Ahmad Abu Umar Faruq , Muneeza Aishath 
Published: May 2021

PurposeThis study explores the practical application of the Shariah screening process and how it could be enhanced by converging the same with the ethical screening of stocks.Design/methodology/approachThis study adopts a qualitative research methodology by combining the qualitative descriptive approach and content analysis.FindingsThe findings of this research suggest that there is scope to converge ethical screening of stocks with Shariah Screening as the lex loci applicable to Shariah screening is derived from Shariah, which considers ethics as part of determining its rules.Practical implicationsThe data from this study reveal several practical applications, the ultimate goal of which is to help the policymakers and stakeholders understand the relevance of the Shariah screening of stocks and get a streamlined screening process, paving the way to enhance the same using ethical screening criteria to develop its function to become much more relevant irrespective of the denomination of faiths.Originality/valueThis is original research, which is expected to contribute to understanding the extent to which Shariah screening can be enhanced by integrating the ethical stock screening dimension to it.
Levels and dimensions of diversity in small businesses: contributions for performance
Authors: Curado Carla , Tai Silvio H.T. , Oliveira Mírian , Sarmento Joaquim Miranda 
Published: May 2021

PurposeThe purpose of this study is to propose and test a model on the impact of diversity over performance using a Portuguese national wide comprehensively matched employee–employer dataset of small businesses.Design/methodology/approachThe study uses structural equation modeling to analyze the relationships between variables. The study addresses the impact of top managers and employees' diversity on firm performance considering two dimensions of diversity: knowledge diversity and social diversity.FindingsThe study provides a clear understanding of how workforce diversity affects performance differently at the two hierarchical levels. Both employees' diversities have stronger relations to performance than the diversity of top managers. Results point out to idiosyncratic aspects of services firms' dynamics that should be further explored.Research limitations/implicationsThe study presents some limitations, since it uses data from a single country and the dataset provides limited variables.Practical implicationsThe study offers evidence on the effects of diversity in small businesses alerting managers to acknowledge such influence when recruiting, selecting and training. With regard to services firms, managers should pay close attention to negative impacts of diversity over performance.Originality/valueNever before to the authors' knowledge the managers' level diversity and employees' level diversity (considering two dimensions each) effect on performance have been addressed in a single national wide study.
Is smart the new green? The impact of consumer environmental awareness and data network effect
Authors: Yu Yugang , Zhang Xin , Zhang Xiong , Yue Wei T. 
Published: May 2021

PurposeNew information technologies such as IoT and big data analytics have reshaped the development of smart green products. These products exhibit two important features that are not seen in traditional products: environmental friendliness and data network effect. Based on these unique features, the authors investigate a firm's optimal selling strategy of smart green products from both the profitability and environmental perspectives.Design/methodology/approachThe authors establish stylized models to consider the optimality of three selling strategies: (1) traditional strategy – only offering traditional products, (2) green strategy – only offering smart green products, and (3) hybrid strategy – offering both traditional and smart green products.FindingsThe authors’ analysis shows that in the absence of data network effect, there will always be a conflict between profit maximization and environmental protection. However, a strategy that benefits both the firm and the environment exists when data network effect is present. Interestingly, hybrid and traditional strategies can be win-win strategies, but the green strategy cannot. Also surprisingly, the green strategy may harm the environment more as smart products become greener.Originality/valueThis study examines the economic and environmental implications of selling smart green products, and contributes to existing literature on sustainable operations and green product design by incorporating the impact of both consumer environmental awareness and data network effect. The authors’ findings shed light on how to coordinate the profitability and environmental impact of selling smart green products in the era of big data and IoT.
Beyond the first nudge: behavioral science in corporate practice
Authors: Hirsch Peter Buell 
Published: May 2021

Purpose
This study aims to review the expanding use of different aspects of behavioral science in the corporate environment.

Design/methodology/approach
This study presents an examination of the academic literature and media reporting on behavioral science in the corporate environment, including risk management, recruiting, employee rewards and group decision-making.

Findings
While there are some ethical risks in the application of behavioral science in the corporate environment, many aspects of corporate decision-making and corporate culture would benefit from behavioral science insights.

Originality/value
While there have been numerous pieces written about individual aspects of behavioral science in the corporate environment, to the best of the author’s knowledge, this is one of the first to look at the application of the discipline from a comprehensive perspective.
Effects of self-brand congruity and ad duration on online in-stream video advertising
Authors: Holmes Todd A. 
Published: May 2021

Purpose
The purpose of this study is to examine the impact of self-brand congruity and ad duration on the effectiveness of in-stream online video advertisements.

Design/methodology/approach
Two online experiments were administered based on a 2 (self-brand congruity) * 2 (ad duration) between-subjects design. Three brand personality dimensions (excitement, sophistication and ruggedness) were included in the model as replicates, and effectiveness was measured using six dependent measures.

Findings
High self-brand congruity resulted in significantly greater attention, attitude toward the ad, attitude toward the brand and purchase intention when compared to low self-brand congruity. Higher recall of ad information was found for subjects who viewed ads low in congruity with their self-concepts. Attention, recall and recognition were significantly higher for participants who viewed 30-s ads. An interaction effect of self-brand congruity and ad duration was found on purchase intention.

Research limitations/implications
This study considered the impact of self-brand congruity and ad duration on the effectiveness of ads for only well-known brands inserted into short-form content. Future research should consider using ads without celebrities present or ads for fictitious brands inserted into long-form video content.

Practical implications
When producing video advertisements, an adequate selection of brand cues should be included that are deemed self-congruent with target audiences. Ad managers aiming to drive favorable consumer attitudes and purchase intention should select 15-s over 30-s ads.

Originality/value
This study examines the impact of self-brand congruity and ad duration on each stage of the hierarchy of effects model, including attention as a precursor to recall and recognition. The interaction effect between self-brand congruity and ad duration is also assessed.