bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wearable IoT based diagnosis of prostate cancer using GLCM-multiclass SVM and SIFT-multiclass SVM feature extraction strategies
Authors: Chandrasekhara Swetha Parvatha Reddy , Kabadi Mohan G. , Srivinay Srivinay 
Published: September 2021

Purpose
This study has mainly aimed to compare and contrast two completely different image processing algorithms that are very adaptive for detecting prostate cancer using wearable Internet of Things (IoT) devices. Cancer in these modern times is still considered as one of the most dreaded disease, which is continuously pestering the mankind over a past few decades. According to Indian Council of Medical Research, India alone registers about 11.5 lakh cancer related cases every year and closely up to 8 lakh people die with cancer related issues each year. Earlier the incidence of prostate cancer was commonly seen in men aged above 60 years, but a recent study has revealed that this type of cancer has been on rise even in men between the age groups of 35 and 60 years as well. These findings make it even more necessary to prioritize the research on diagnosing the prostate cancer at an early stage, so that the patients can be cured and can lead a normal life.

Design/methodology/approach
The research focuses on two types of feature extraction algorithms, namely, scale invariant feature transform (SIFT) and gray level co-occurrence matrix (GLCM) that are commonly used in medical image processing, in an attempt to discover and improve the gap present in the potential detection of prostate cancer in medical IoT. Later the results obtained by these two strategies are classified separately using a machine learning based classification model called multi-class support vector machine (SVM). Owing to the advantage of better tissue discrimination and contrast resolution, magnetic resonance imaging images have been considered for this study. The classification results obtained for both the SIFT as well as GLCM methods are then compared to check, which feature extraction strategy provides the most accurate results for diagnosing the prostate cancer.

Findings
The potential of both the models has been evaluated in terms of three aspects, namely, accuracy, sensitivity and specificity. Each model’s result was checked against diversified ranges of training and test data set. It was found that the SIFT-multiclass SVM model achieved a highest performance rate of 99.9451% accuracy, 100% sensitivity and 99% specificity at 40:60 ratio of the training and testing data set.

Originality/value
The SIFT-multi SVM versus GLCM-multi SVM based comparison has been introduced for the first time to perceive the best model to be used for the accurate diagnosis of prostate cancer. The performance of the classification for each of the feature extraction strategies is enumerated in terms of accuracy, sensitivity and specificity.
Retail quality, market environment and business survival in the retail Apocalypse: an investigation of the sporting goods retail industry
Authors: Mao Luke L. 
Published: September 2021

PurposeIn the era of the retail Apocalypse, the surge of e-commerce has transmuted the competitive landscape for many traditional retailers that heavily rely on brick-and-mortar stores. This study examines the relationship among retail quality, market environment and businesses' survival in the context of the sporting goods retail industry.Design/methodology/approachBased on a data set from yelp.com, the authors examine the survival of 1,360 stores within 306 zip codes in the United States using mixed effects logistic modeling.Findings(1) Retail quality is positively related to survival, but the relationship is nonlinear; (2) the author find a null relationship between market competition and survival, which is subject to several competing interpretations; (3) 10% of the individual variation in survival is due to systematic differences between zip codes and (4) chain stores and stores with more heterogenous reviews have a higher closure rate.Originality/valueThis study contributes to the literature by offering an empirical testing of the relationship between retail quality and business survival and examining the impact of trading area in the modern marketing milieu. The findings have practical implications for site selection and designing a service quality program.
Social media information and student performance: the mediating role of hedonic value (entertainment)
Authors: Dzogbenuku Robert Kwame , Doe Joshua Kofi , Amoako George Kofi 
Published: September 2021

PurposeThis study evaluates the mediating role of social media entertainment on social information (content) and social media performance, during the COVID-19 era.Design/methodology/approachPrimary data were randomly gathered from 373 students from two top universities (public and private) in Ghana, a sub-Saharan African economy. Data analysis was achieved utilizing the partial least square–structural equation model (PLS-SEM).FindingsSocial media (SM) entertainment partly mediates the link between social media content and social media performance of students, suggesting that social media entertainment is almost indispensable in creating social media content to achieve optimum performance among tertiary students.Research limitations/implicationsThe use of cross-sectional data alone for this study does not give us the opportunity to observe the social media activities of respondents over a longer period. Future studies could, therefore, include longitudinal data.Practical implicationsThe findings in this study suggest that faculties can modify their pedagogical activities to include social media and reflect some entertainment content, since it has an influence on student performance within the social media space.Social implicationsSM has a great influence on students' performance socially and academically; therefore, educational stakeholders like university authorities, faculties, parents and guardians, and the government should consider social media as a tool for attaining educational goals.Originality/valueThe study extends the use of UTAUT2, in understanding students' learning and behavior processes, by linking antecedents of adoption to the post-adoption effect.
Perceived benefits and post-adoption usage of education management information system
Authors: Stamenkov Gjoko , Zhaku-Hani Rezarta 
Published: September 2021

PurposeThe purpose of this research is to explore and explain education management information system (EMIS) post-adoption in the context of mandatory settings, focusing on perceived benefits and individual and institutional post-adoption usage.Design/methodology/approachTo fulfill the research objectives, the study proposes a conceptual model grounded in the technology acceptance model (TAM) and the technology-organization-environment (TOE) framework. Data for model validation were obtained via a questionnaire and were collected from 144 teachers in public primary schools in the Republic of North Macedonia. For statistical analysis, PLS-SEM was used.FindingsBased on the conducted statistical analysis, it is found that in mandatory environments, perceived ease of use, perceived usefulness, compatibility, complexity and governmental support are the factors that have indirect effects on the post-adoption usage, and only the factors, technological knowledge and external information and communication technology (ICT) support, have direct effects on the post-adoption usage. The individual post-adoption usage in mandatory settings depends on whether benefits are perceived in the course of EMIS usage; they become a central factor due to the accumulated knowledge and experience.Originality/valueThe main contribution of this study is to theoretically and empirically discover the most important factors that influence EMIS post-adoption usage. Perceived benefits are considered as external factors to the TOE framework and mediate the effect of TAM-TOE factors on individual post-adoption usage.
Proposing total quality management as a buffer between global software development challenges and project success
Authors: Hashmi Syed Danial , Shahzad Khurram , Izhar Muhammad 
Published: September 2021

PurposeThis study aims to empirically investigate the relationship between different global software development (GSD) challenges (management, process, social, technical and environmental challenges) and software project success. Further, the study examines the moderating role of total quality management (TQM) between the relationship of GSD challenges and success of software projects.Design/methodology/approachUsing two field studies, the authors collected data form software developers working in globally distributed teams. In study 1 (n = 194), relationship of different dimensions of GSD challenges (management, process, social, technical and environmental challenges) and project success was examined. In study 2 (n = 138), moderating role of TQM was examined on the relationship of GSD challenges and project success.FindingsThe results of study 1 indicate that there is a negative relationship between all dimensions of GSD challenges and project success. Findings of study 2 confirmed that TQM practices moderate the negative relationship between GSD challenges and project success.Practical implicationsThe findings of the study provide guidelines to the project managers of software industry to mitigate GSD challenges using TQM practices.Originality/valueStudy adds in the literature of TQM, GSD challenges and project success by (1) empirically investigating the relationship between different GSD challenges and software project success and (2) by examining the moderating role of TQM practices on relationship of GSD challenges and project success in global software development industry.
Multiscale linearized inversion of surface‐wave dispersion curves
Authors: Wang Zhinong , Sun Chengyu , Wu Dunshi 
Published: September 2021

ABSTRACTIn recent years, surface‐wave analysis method has been developed rapidly in many fields. Multichannel analysis of surface waves can provide near‐surface one‐dimensional shear‐wave velocity profiles. Because linearized inversion of surface‐wave dispersion curves relies heavily on the choice of the initial model, setting an inappropriate initial model can lead to poor inversion results, or even failure of inversion. However, it is difficult to establish a reasonable initial model without a priori information, which is unavailable in most cases. To cope with this problem, a multiscale linearized inversion method is proposed for surface‐wave dispersion curves inversion. In contrast with the traditional single‐scale linearized inversion, the key idea of the proposed multiscale surface‐wave inversion method is the introduction of a merging and splitting process of layers. After every scale inversion, the merging and splitting operations automatically optimize the inversion model, making it gradually approach to a reasonable subsurface stratification. Multiscale surface‐wave inversion method reduces the difficulty of establishing the initial model and has high computational efficiency. In addition, it has strong ability to identify high‐velocity or low‐velocity interlayers and thin layers, especially suited for the geological conditions with obvious stratification. In synthetic tests, the proposed method was compared with the single‐scale surface‐wave inversion and particle swarm optimization algorithm to demonstrate the effectiveness and practicability of multiscale surface‐wave inversion method. We also applied the multiscale surface‐wave inversion method to field seismic data acquired in Guizhou, China and Texas, USA. Borehole and crosshole test data were compared with the inversion results of field data to prove the reliability of the proposed method.
Propofol suppresses cell proliferation in gastric cancer cells through NRF2‐mediated polyol pathway
Authors: Cao Yajun , Fan Long , Li Linkai , Zhou Jiexian 
Published: September 2021

AbstractPropofol, a widely used short‐acting intravenous sedative agent, has gradually gained attention due to the tumour‐suppressing role and non‐anaesthetic effect. Dysfunction of metabolic reprogramming has been recognised as a well‐documented factor for tumour progression. The aim of this study is to explore the effect of propofol on the polyol pathway in gastric cancer cells. In this study, we found that propofol treatment led to a significant downregulation of cell proliferation in BGC823 and GES‐1 cells, which was attributed to the decreased AR‐mediated polyol pathway. Both aldo‐keto reductase family 1, member B1 (AKR1B1) and AKR1B10 were significantly reduced in BGC823 and GES‐1 cells in response to propofol stimulation, leading to decreased AR activity and sorbitol level. Addition of sorbitol could reverse the inhibitory effect of propofol on cell proliferation. Mechanically, propofol treatment drastically inhibited phosphorylation and nuclear translocation of nuclear factor (erythroid‐derived 2)‐like 2 (NRF2), subsequently decreased the binding of NRF2 to AR promoter. Overexpression of NRF2 resulted in the recovery of AR expression in gastric cancer cell with propofol treatment. Taken together, these finding showed that propofol suppressed cell proliferation in BGC823 and GES‐1 cell through NRF2‐mediated polyol pathway, which would aid the selection of sedation for patients with gastric cancer.
Why geography matters to the economic history of India
Authors: Roy Tirthankar 
Published: September 2021

AbstractThat geography shapes long‐run economic change is almost an axiom in economic history, but there is neither adequate understanding nor much agreement about how this influence works. This article is an attempt to contextualise Indian economic history against what we now know of this influence. It is also an attempt to define the geographical condition of the South Asia region in a manner compatible with the purpose of economic history, which is to explain the deep roots of economic growth and inequality.
ESG and Stock Price Crash Risk: Role of Financial Constraints*
Authors: Bae JinCheol , Yang Xiaotong , Kim Myung‐In 
Published: September 2021

AbstractThis paper investigates whether corporate performance measured from three aspects—environmental, social responsibility and governance (“ESG”)—are associated with stock price crash risk, and also examines how the relation between ESG ratings and stock price crash risk is affected by the degree of financial constraint. Our empirical results show that ESG ratings reduce the stock price crash risk, and this relation is significantly alleviated for financially constrained firms. The results imply that greater financial constraint suppresses the positive role of corporate social responsibility in mitigating the risk of a stock price crash.
Tragic trade‐offs accompany carnivore coexistence in the modern world
Authors: Bruskotter Jeremy T. , Vucetich John A. , Gilbert Sophie L. , Carter Neil H. , George Kelly A. 
Published: September 2021

AbstractTwo vital policy aims—biodiversity conservation and food production—are increasingly in conflict. Efforts to evaluate trade‐offs between agriculture and conservation have shaped scholarly discourse around two broad strategies to agricultural production that seek to either “share” land with biodiversity or “spare” land from agriculture. However, efforts to negotiate these trade‐offs are challenged by rising concern for the welfare of individual animals, both wild and domestic. We use recent efforts to “coexist” with large carnivores to illustrate how sharing and sparing strategies both create tragic, and often unacknowledged trade‐offs between livestock production and carnivore conservation. We conclude the best means of conserving carnivores while feeding the world's growing population requires explicitly confronting and adjudicating ethical trade‐offs associated with sharing and sparing approaches. To accomplish this, we recommend engaging scholars trained in ethics and social justice and use of deliberative processes to synthesize disparate facts and competing values when evaluating trade‐offs.
Self‐organised pattern formation increases local diversity in metacommunities
Authors: Guill Christian , Hülsemann Janne , Klauschies Toni 
Published: September 2021

AbstractSelf‐organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio‐temporal patterns in the species’ abundances emerge. The resulting biomass‐trait feedback increases local diversity by an order of magnitude compared to scenarios without self‐organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions.
Discursive struggles in “real” families: Korean adoptees, adoptive parents, and birth family reunions
Authors: Docan‐Morgan Sara 
Published: September 2021

AbstractObjectiveThis study explores transnational Korean adoptees' interactions with their adoptive families surrounding birth family reunion.BackgroundUsing relational dialectics theory as a guide, this study takes an adoptee‐centered approach to understanding the broader cultural and relational discourses that interplay with adoptee and adoptive parent messages surrounding birth family reunions.MethodIn‐depth interviews with 19 Korean adult adoptees from the United States and Denmark were conducted to explore adoptive family interactions surrounding reunion.ResultsMost participants reported that their adoptive parents responded supportively to reunion. Still, participants' responses revealed two main discourses surrounding their own communication with their adoptive family surrounding reunion: reassuring their adoptive family and holding back affection or questions toward the birth family in the presence of an adoptive parent. Cultural discourses about having only one set of “real” parents and other adoptees' experiences interplayed with the discourses of reassurance and holding back. Adoptees whose parents were open about their birth family from a young age tended recall reassuring their parents.ConclusionEven with adoptive parent support, adoptees may still feel the need to reassure their adoptive parents and hold back affection and curiosity toward the birth family.ImplicationsHolding back may prevent adoptees from engaging with their birth families fully. Reassuring turns the focus toward the adoptive parents. Practitioners should encourage ongoing communication about the birth family, and adoptive parents should show active support for the reunion and interest in the birth family afterward.
A review of probabilistic structural integrity assessment in the nuclear sector and possible future directions
Authors: Chavoshi Saeed Zare , Booker Julian , Bradford Rick , Martin Michael 
Published: September 2021

AbstractThere always exists uncertainty and variability in structural integrity assessments arising from lack of knowledge, modeling approximations, or differences between as‐manufactured components and as‐operated components. This may ultimately impact on reactor lives. Such uncertainties and variabilities can be understood and quantified using probabilistic techniques together with reliability‐based acceptance criteria, facilitating the quantification and management of risk. This review article provides a systematic appraisal of the latest worldwide literature and also unpublished reports from EDF UK nuclear plants, giving an overview of the existing knowledge of probabilistic/reliability structural integrity methodologies and tools from a multifaceted stance, including failure modes, problem types, material types, employed codes, correlations, and probability distributions. Structural reliability analysis at different levels is discussed, and pertinent issues on convergence testing, required number of trails, sensitivity analysis, verification of individual analyses, extremely small probabilities, reactor‐wide failure probabilities, and digital twin structural integrity monitoring are elaborated.
A minimally managed switchgrass ecosystem in a humid subtropical climate is a source of carbon to the atmosphere
Authors: Ahlswede Benjamin J. , O'Halloran Thomas L. , Forsythe Jeremy D. , Thomas R. Quinn 
Published: September 2021

AbstractBioenergy has been identified as a key component of climate change mitigation. Therefore, quantifying the net carbon balance of bioenergy feedstocks is crucial for accurate projections of climate mitigation benefits. Switchgrass (Panicum virgatum) has many characteristics of an ideal bioenergy crop with high yields, low maintenance, and deep roots with potential for belowground carbon sequestration. However, the assessments of net annual carbon exchange between switchgrass fields and the atmosphere are rare. Here we present observations of net carbon fluxes in a minimally managed switchgrass field in Virginia (Ameriflux site US‐SB2) over 5 years (3–7 years since establishment). Average annual net ecosystem exchange (NEE) of carbon was near zero (60 g C m−2 year−1) but the net ecosystem carbon balance that includes harvested carbon (HC) was a net source of carbon to the atmosphere (313 g C m−2 year−1). The field alternated between a large and small source of carbon annually, with the interannual variability most strongly correlated with the day of the last frost and the interaction of temperature and precipitation. Overall, the consistent source of carbon to the atmosphere at US‐SB2 differs substantially from other eddy covariance studies that report switchgrass fields to be either neutral or a sink of carbon when accounting for both NEE and HC. This study illustrates that predictions of net carbon climate benefits from bioenergy crops cannot assume that the ecosystem will be a net sink of carbon from the atmosphere. Background climate, management, and land‐use history may determine whether widespread deployment of switchgrass as a bioenergy feedstock results in realized climate change mitigation.
Mapping the discursive in labour geographies
Authors: Anant Rohini , Coe Neil M. 
Published: September 2021

AbstractGeographical debates surrounding labour have hitherto tended to sideline its discursivity – that is its ongoing construction as a category of the economy – and the politics of the discourses of labour involved in this process. To address this lacuna, this paper engages with three bodies of scholarship in the social sciences which explicitly foreground the discursive construction of labour: work on subjectivity and power in the labour process; feminist investigations into gendered globalization processes; and studies on the discursive power of labour. These reveal labour discourses as multiscalar phenomena that operate at workplaces, as mechanisms of work organization and control within transnational capital circuits, as knowledge networks that underpin how labour is valued, and as resources for labour agency. The paper closes by proposing a distinctively geographical research agenda which involves mapping the discursive geographies of labour, examining how labour discourses are ‘placed’ and encountered, and exploring their role in building geographies of labour agency.