bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensory processing sensitivity and axonal microarchitecture: Identifying brain structural characteristics for behavior
Authors: David Szabolcs , Brown Lucy L. , Heemskerk Anneriet M. , Aron Elaine , Leemans Alexander , Aron Arthur 
Published: November 2021

AbstractPreviously, researchers used functional MRI to identify regional brain activations associated with sensory processing sensitivity (SPS), a proposed normal phenotype trait. To further validate SPS as a behavioral entity, to characterize it anatomically, and to test the usefulness in psychology of methodologies that assess axonal properties, the present study correlated SPS proxy questionnaire scores (adjusted for neuroticism) with diffusion tensor imaging measures. Participants (n=408) from the Young Adult Human Connectome Project that are free of neurologic and psychiatric disorders were investigated. We computed mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD) and fractional anisotropy (FA). A voxelwise, exploratory analysis showed that MD and RD correlated positively with SPS proxy scores in the right and left subcallosal and anterior ventral cingulum bundle, and the right forceps minor of the corpus callosum (peak Cohen’s D effect size = 0.269). Further analyses showed correlations throughout the entire right and left ventromedial prefrontal cortex, including the superior longitudinal fasciculus, inferior fronto-occipital fasciculus, uncinate and arcuate fasciculus. These prefrontal regions are generally involved in emotion, reward and social processing. FA was negatively correlated with SPS proxy scores in white matter of the right premotor/motor/somatosensory/supramarginal gyrus regions, which are associated with empathy, theory of mind, primary and secondary somatosensory processing. Region of interest (ROI) analysis, based-on previous fMRI results and Freesurfer atlas-defined areas, showed small effect sizes, (+0.151 to -0.165) in white matter of the precuneus and inferior frontal gyrus. Other ROI effects were found in regions of the dorsal and ventral visual pathways and primary auditory cortex. The results reveal that in a large, diverse group of participants axonal microarchitectural differences can be identified with SPS traits that are subtle and in the range of typical behavior. The results suggest that the heightened sensory processing in people who show SPS may be influenced by the microstructure of white matter in specific neocortical regions. Although previous fMRI studies had identified most of these general neocortical regions, the DTI results put a new focus on brain areas related to attention and cognitive flexibility, empathy, emotion and low-level sensory processing, as in the primary sensory cortex. Psychological trait characterization may benefit from diffusion tensor imaging methodology by identifying influential brain systems for traits.
Sustained effects of Short-term Adalimumab biosimilar (ZRC-3197) therapy on outcome measures in Ankylosing Spondylitis
Authors: Arvind Chopra , Khadke N , Saluja M , Kianifard T , Gharia Mihir , Venugopalan A 
Published: November 2021

IntroductionCost and drug toxicity often deter prolonged therapeutic use of anti-TNF agents in ankylosing spondylitis (AS). A planned study was completed to endorse our clinic-based observation of long-term relief following short-term administration of an anti-TNF agent.Methods50 consenting patients with symptomatic active chronic AS under rheumatology care in a community clinic were enrolled; naïve for anti-TNF. 40 mg standard biosimilar Adalimumab (Bs-ADA, Exemptia™) was injected subcutaneously every fortnight for six injections (10 weeks). Patients were monitored at several predetermined time points. Improvement was assessed with standard indices (Assessment Spondyloarthritis International Society/ASAS and Bath). An intention to treat analysis was performed: significant p <0·05ResultsPatients showed early and substantial significant improvement in pain, NSAID requirement, function, and in several indices (ASAS 20 & 40, ASAS partial remission, BASDAI, BASFI, ASDAS) which persisted after stopping injections. 84% and 52 % of patients respectively showed ASAS 20 improvement at weeks 12 and 48: corresponding to ASAS partial remission at 34% and 24%. Over 50% of patients maintained prolonged improvement and provided proof of concept (defined apriori). Serum Interleukin-6 assay showed a sharp reduction at 24 weeks. None developed TB or serious drug toxicity. 11 patients withdrew (mostly inadequate response). The absence of control was a limitation.ConclusionA ten-week administration of biosimilar adalimumab in difficult-to-treat AS showed early substantial improvement which often persisted for 24 weeks. This unconventional strategy was socioeconomically appealing. It merits further validation and acceptance, especially in resource strained settings.
Exploring the kinetic selectivity of antipsychotics for dopamine D2 and 5-HT2A receptors: implications for the prevalence of EPS and receptor occupancy
Authors: Sykes David A. , Lochray Jack , Comfort Hannah M.F. , Jain Palash , Charlton Steven J. 
Published: November 2021

AbstractCertain atypical antipsychotic drugs (APDs) used in the treatment of schizophrenia have been hypothesized to show reduced extrapyramidal side effects (EPS), due to their ability to promote nigrostriatal dopamine release through 5-HT2A receptor (5-HT2AR) blockade. The strength of this hypothesis is currently limited to a consideration of the relative receptor affinities of APDs for the 5-HT2AR and dopamine D2 receptor (D2R). Here we measure the 5-HT2AR kinetic binding properties of a series of typical and atypical APDs in a novel time-resolved fluorescence resonance energy transfer assay and correlate these properties with their observed EPS at therapeutic doses. For compounds with negligible affinity for 5-HT2AR, EPS is robustly predicted by a D2R specific rebinding model that integrates D2R association and dissociation rates to calculate the net rate of reversal of receptor blockade (kr). However, we show that for compounds with significant affinity for the 5-HT2AR, such as sertindole, higher relative 5-HT2A occupancy over time is an indicator for a reduced propensity to cause EPS.This study suggests that there is room for the development of novel kinetically optimised antipsychotic agents that modulate both serotonergic and dopamine function in a manner beneficial in the treatment of this chronic and debilitating disease.
The inhibition activity of lemongrass extract (LGE) for mild steel acid corrosion: Electrochemical, surface and theoretical investigations
Authors: El-Katori Emad ElDin , Hashem Nady 
Published: November 2021

PurposeThe purpose of this paper is to minimize corrosion-related pollution in the environment. From the lemongrass extract (LGE), the authors selected one of the best green inhibitors.Design/methodology/approachThe corrosion and inhibition of mild steel in traditional acidification solutions were estimated by electrochemical measurements. The corrosion appearance was observed with scanning electron microscopy, atomic force microscopy micrographs and attenuated total reflectance infrared spectroscopy spectrum. The correlation was formed between the gained inhibition efficiency (IE)% from electrochemical measurements and certain quantum chemical parameters.FindingsThe results displayed that the IE was up to 90% when the LGE concentration was 300 ppm. The results confirmed that the theoretical experiments are very similar to the experimental observations.Originality/valueFor the first time, LGE was used as a cheap and safe corrosion inhibitor for mild steel corrosion in the acidification process. The mechanism of mild steel corrosion and anti-corrosion in acid solution has been suggested.
Intelligent classification of lung malignancies using deep learning techniques
Authors: Yadlapalli Priyanka , Bhavana D. , Gunnam Suryanarayana 
Published: November 2021

PurposeComputed tomography (CT) scan can provide valuable information in the diagnosis of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel deep learning methods. The majority of the early investigations used CT, magnetic resonance and mammography imaging. Using appropriate procedures, the professional doctor in this sector analyses these images to discover and diagnose the various degrees of lung cancer. All of the methods used to discover and detect cancer illnesses are time-consuming, expensive and stressful for the patients. To address all of these issues, appropriate deep learning approaches for analyzing these medical images, which included CT scan images, were utilized.Design/methodology/approachRadiologists currently employ chest CT scans to detect lung cancer at an early stage. In certain situations, radiologists' perception plays a critical role in identifying lung melanoma which is incorrectly detected. Deep learning is a new, capable and influential approach for predicting medical images. In this paper, the authors employed deep transfer learning algorithms for intelligent classification of lung nodules. Convolutional neural networks (VGG16, VGG19, MobileNet and DenseNet169) are used to constrain the input and output layers of a chest CT scan image dataset.FindingsThe collection includes normal chest CT scan pictures as well as images from two kinds of lung cancer, squamous and adenocarcinoma impacted chest CT scan images. According to the confusion matrix results, the VGG16 transfer learning technique has the highest accuracy in lung cancer classification with 91.28% accuracy, followed by VGG19 with 89.39%, MobileNet with 85.60% and DenseNet169 with 83.71% accuracy, which is analyzed using Google Collaborator.Originality/valueThe proposed approach using VGG16 maximizes the classification accuracy when compared to VGG19, MobileNet and DenseNet169. The results are validated by computing the confusion matrix for each network type.
Role of educational, regional and religious attributes of CEOs in performance of Indian family firms
Authors: DasGupta Ranjan , Pathak Rajesh 
Published: November 2021

PurposeThe authors investigate whether community-based CEO's attributes, particularly educational attainment, regional and religious affiliation, are direct antecedents of performance in family-controlled Indian firms. The authors further examine whether CEO's education moderates the linkage of firm performance with regional and religious affiliation.Design/methodology/approachThe authors employ pooled Ordinary Least Square with fixed effects and Fama-Macbeth regression techniques to test their hypotheses.FindingsThe results reveal that firms with post-graduate CEOs in business and firms with doctorate CEOs, significantly outperform peer firms. The authors also find that CEOs from northern India outperform peer CEOs consistently which emanates from the risk-taking differentials of CEO's across regions. Hindu CEOs also deliver superior return on assets. However, CEO's educational attainment moderates the influence of regional and religious affiliations.Originality/valueThis study is unique as it contributes on the role of regional affiliation of top executives in determining performance which almost remains unexplored in existing literature.
Relationships among immigrant consumers' cultural orientation, innovativeness and opinion leadership
Authors: Walsh Gianfranco 
Published: November 2021

PurposeThis research examines the direct and indirect effects of immigrant consumers' (heritage vs host) cultural orientation on their opinion leadership, in relation to heritage versus host culture peers. In addition to examining the potential mediation of different exhibitions of innovativeness, the research tests whether the relative size of the immigrant population in a country might affect the relationship of consumers' cultural orientation and opinion leadership.Design/methodology/approachTests of the theoretical arguments rely on data from three samples of more than 1,000 consumers collected from Russian immigrants to three countries–Israel, Germany and the United States.FindingsThis study offers broad support for the foundational theorizing, in that the findings confirm a mediating role of consumer innovativeness. Cultural orientation relates directly to opinion leadership, though only in two countries with a relatively small (Russian) immigrant population, that is, Germany and the United States. Accordingly, these findings have pertinent theoretical and practical implications.Originality/valueLittle research centers on opinion leaders among immigrant consumer segments or details the antecedents of opinion leadership relative to ethnic and immigrant consumer segments. This study contributes to marketing theory and practice by investigating immigrants from Russia who have migrated to Israel, Germany or the United States and by elucidating whether and to what extent their heritage versus host culture orientations exert indirect (via innovativeness) or direct impacts on their opinion leadership, expressed toward heritage and host culture peers.
Executive decision-making in fashion retail: a phenomenological exploration of resources and strategies
Authors: Testa Danielle Sponder , Karpova Elena E. 
Published: November 2021

PurposeDecision-makers must be well-informed to successfully impact the future of the business. The purpose of this study was to explore experiences of US fashion retail executives when making business decisions to understand what resources and strategies are utilized within the decision-making process. Additionally, the role of academic research within executive decision-making process was explored.Design/methodology/approachThis study utilized a phenomenological approach to understand the experiences of fashion retail executives when engaging in business decision-making. Fifteen US fashion retail executives participated in the study. Data were collected through in-depth individual interviews and thematically coded to gain a holistic perspective of the decision-making process within the fashion retail industry.FindingsAs the result of the data analysis and interpretation, three topical areas emerged:: “Incredible Amounts of Information,” “Industry Specific Academic Research” and “Have a Clear Road Map.” The findings suggested that while the facts gleaned from internal and external data are of great importance to fashion professionals, insights gathered from social media are equally influential within the decision-making process. The authors identified five major strategies utilized consistently by fashion retail executives regardless of the type of business they represented: collaboration, adaptability, speed, gut instinct and creativity.Research limitations/implicationsThe results are important to fashion retail companies for improving internal decision-making processes. The identified resources and strategies of the decision-making process can be incorporated into fashion program curricula and considered as learning outcomes when preparing future industry professionals.Originality/valueLimited studies have explored the decision-making process specific to the fashion retail environment, an uncertain and ever-changing industry. Further, the study shed light on the opportunity for academic research use in fashion retail decision-making and contributes to the literature by developing a fashion retail decision-making model.
Optimal versioning strategy of enterprise software considering the customer cost-acceptance level
Authors: Wang Zhu-Jun , Sun Yang-Yang , Chen Zhen‐Song , Feng Geng‐Zhong , Su Qin 
Published: November 2021

PurposeThe emergence of the Software-as-a-service (SaaS) licensing model dramatically changes how enterprise software is released. Especially, it is favored by small and medium enterprises (SMEs) because of the cost-friendly feature. In contrast, many large enterprises (LEs) own relatively abundant budgets and prefer the on-premise software to fulfill demands through customization. Considering the differentiated cost-acceptance level among customers, this study aims to address the versioning problem of the enterprise software faced by software firms.Design/methodology/approachA two-point distribution model is formulated to calculate the maximal profits software firm earned from both LEs and SMEs under three strategies (On-premise, SaaS and Hybrid). Then through profit comparison, this paper obtains the optimal versioning strategy and corresponding feasible conditions. Finally, the optimal solutions are derived concerning social welfare.FindingsA significant finding is that moving to SaaS becomes necessary for the software firms in product releases since the on-premise strategy will not be optimal. Based on this, this paper discovers that when LEs own a cost-acceptance level close to that of SMEs, the hybrid strategy is the only optimal choice. When LEs become less sensitive to costs, the hybrid strategy is suggested if the customization cost falls below the threshold. Otherwise, the SaaS strategy becomes the optimal option. The conclusions explain why some software vendors transit to “cloud companies” thoroughly and provide practical insights for software firms’ future decisions.Originality/valueTo the best of the authors’ knowledge, this paper is the first information economics study to consider consumer cost sensitivity in discussing enterprise software versioning. The differentiated cost-acceptance level is introduced to describe the customer utilities, and the results uncover the necessity of moving to SaaS under diversified customer composition. This work provides significant theoretical value and practical insights.
Subsidiaries’ behavioural responses to volatile local contexts in emerging African markets: evidence from Nigeria
Authors: Ahworegba Akiebe Humphrey , Garri Myropi , Estay Christophe 
Published: November 2021

PurposeThis paper aims to explore subsidiaries’ behavioural responses to volatile institutional pressures in the local context of the emerging Nigerian market.Design/methodology/approachThe authors built on institutional and contingency theory to analyse previous literature on developed markets and apply it to African contexts. The authors used a context-specific volatile local context model to show how porous formal and strong informal institutions constitute international business (IB) as a contested terrain in the host country. The authors also used a qualitative methodology, involving multiple actors, to investigate this phenomenon in practice.FindingsThe findings indicated different types of institutional pressures shaping volatile local contexts, which together or separately impact subsidiaries, depending on their degree of exposure. Subsidiaries behaviourally respond to cope with these pressures through inclusive negotiations involving their home and host countries’ networks.Originality/valuePrevious research has imposed developed markets’ norms on emerging African markets, regardless of their volatility. As subsidiaries’ responses to local contexts in emerging African markets are poorly understood, the authors developed a volatile local context model, showing how IB becomes a contested terrain in host countries and the authors proposed a model that differentiates between informal institutions. The authors highlighted the impact of contextual pressures on subsidiaries, according to their levels of exposure to the local context. The authors concluded that committed alignment with a local context is necessary for presenting an effective contingent response to its volatilities.
Influence of selected factors on parameters of a cooling system with a Peltier module and forced air flow
Authors: Posobkiewicz Krzysztof , Górecki Krzysztof 
Published: November 2021

Purpose
The purpose of this study is to investigate the validation of the usefulness of cooling systems containing Peltier modules for cooling power devices based on measurements of the influence of selected factors on the value of thermal resistance of such a cooling system.

Design/methodology/approach
A cooling system containing a heat-sink, a Peltier module and a fan was built by the authors and the measurements of temperatures and thermal resistance in various supply conditions of the Peltier module and the fan were carried out and discussed.

Findings
Conclusions from the research carried out answer the question if the use of Peltier modules in active cooling systems provides any benefits comparing with cooling systems containing just passive heat-sinks or conventional active heat-sinks constructed of a heat-sink and a fan.

Research limitations/implications
The research carried out is the preliminary stage to asses if a compact thermal model of the investigated cooling system can be formulated.

Originality/value
In the paper, the original results of measurements and calculations of parameters of a cooling system containing a Peltier module and an active heat-sink are presented and discussed. An influence of power dissipated in the components of the cooling system on its efficiency is investigated.
Low‐rank seismic data reconstruction and denoising by CUR matrix decompositions
Authors: Cavalcante Quézia , Porsani Milton J. 
Published: November 2021

ABSTRACTLow‐rank reconstruction methods assume that noiseless and complete seismic data can be represented as low‐rank matrices or tensors. Therefore, denoising and recovery of missing traces require a reduced‐rank approximation of the data matrix/tensor. To calculate such approximation, we explore the CUR matrix decompositions, which use actual columns and rows of the data matrix, instead of the costly singular vectors derived from singular value decomposition. By allowing oversampling columns and rows, CUR decompositions obviate the need for the exact rank. We evaluate three different procedures for randomly selecting columns and rows to obtain the CUR. Once the low‐rank approximation is estimated, data reconstruction is achieved by an iterative optimization scheme. To demonstrate the effectiveness of CUR matrix decompositions for multidimensional seismic data recovery, we present examples of 3D and 4D synthetic and field data. Results derived by CUR compare well to conventional eigenimage‐family methods.