Miracle-dz/UniFAR-FTUs huggingface dataset:
An empirical study on customers’ behavior of passive and active resistance to innovation

Previous studies reveal that the failure rate of innovation in enterprises is higher than expected. The reason for innovation failures is due to not only the customers ’ resistance towards innovation, subsequent changes and ignored factors that promote customer acceptance, but also the other disregarded factors that motivates the resistance towards innovation adaptation. The literature proved the customers ’ innovation resistance (CIR) consists of two categories. Passive innovation resistance (PIR) described as initial resistance behavior before evaluating the new product; and active innovation resistance (AIR) introduced as the resistant behavior after evaluating innovative products. However, few studies have investigated the simultaneous influence of both PIR and AIR, especially using the empirical methods. The main purposes of this study are (1) to construct a model that reflects on both PIR and AIR as two categories of CIR; (2) to provide empirical evidences to high-light the influences and correlation of PIR and AIR. The method used in this paper is partial least squares path modeling (PLS-PM) method to test our model and the hypotheses. The results from this research mainly indicate that (1) PIR is negatively influenced AIR; (2) PIR (including both cognitive and situational PIR) has negative effect on customers ’ innovation adoption intention (IAI) while (3) the correlation between AIR and IAI is opposite; (4) the degree of customers ’ IAI with high-perceived stimulation group and low-per-ceived stimulation group will reverse according to the changes of PIR and AIR. This paper is helpful for enterprises to improve their innovation success rate by analyzing users ’ resistance to innovation.
Inequality and Entrepreneurial Agency: How Social Class Origins Affect Entrepreneurial Self-Efficacy

Entrepreneurial agency—the individual power to change environments—is central to entrepreneurship research. Yet, from a social inequality perspective, beliefs in an entrepreneurial agency might differ based on the social class environments individuals are born into. Drawing on social cognitive theories, our findings across three data sets among students from Germany and entrepreneurs from the United States indicate that social class origins are associated with entrepreneurial self-efficacy (ESE) beliefs in adulthood. Exploring the underlying mechanisms, we find that students’ early entrepreneurial experiences in education and practice are indicative of reproducing the class gap in ESE. When individuals collect mastery experiences such as social mobility or entrepreneurial success, their lower social class origins turn out to be associated with enhanced entrepreneurial agency beliefs. We discuss the implications for further research on social class, inequality, and entrepreneurship.
Social Media and the Influence of Fake News on Global Health Interventions: Implications for a Study on Dengue in Brazil

Social media usage is growing globally, with an exponential increase in low- and middle-income countries. Social media changes the ways in which information-sharing occurs, intensifying the population’s exposure to misinformation, including fake news. This has important repercussions for global health. The spread of fake news can undermine the implementation of evidence-based interventions and weaken the credibility of scientific expertise. This is particularly worrisome in countries, such as Brazil, in a sociopolitical context characterized by a lack of popular trust in public institutions. In this project report, we describe our experience with the spread of fake news through the social media platform WhatsApp during the implementation of a cluster randomized controlled trial aimed at reducing dengue incidence in children in Fortaleza (Brazil). During initial visits to selected clusters, the research team was met with resistance. Then, soon after data collection started, fake news began circulating about the study. As a result, the research team developed strategies to dispel suspicion and further promote the study. However, the climate of violence and mistrust, coupled with the COVID-19 pandemic, forced the interruption of the study in 2019. The lessons learned from our experience in Fortaleza can be useful to other researchers and practitioners implementing large-scale interventions in this era of health-related misinformation.
Mathematical Morphology in Digital Generalization of Raster Map Data

This paper discusses the potential application of mathematical morphology techniques in digital generalization of raster map data. A review of existing generalization operators and morphological operators is conducted so that an insight into their relationships can then be made. The potential applications of morphological tools in digital map generalization of raster map data is discussed and problems associated with such an application are also identified. In particular, four application areas—elimination, combination, line simplification and displacement—are successfully demonstrated and the results show that morphological operators could be very important tools for generalisation purposes.
Cell State Recognition of Cytopathic Effect with YOLO Detector

Cell state recognition and evaluation of its life cycle are the fundamental and critical procedure to identify the pathological mechanism of viruses and analyze pharmacodynamic effectiveness. Modern life science research is based on large-scale biological experiments so that it is inefficiency to estimate and decide the physicochemical results on petri dishes. With the development of target recognition in computer science, especially YOLO (You Only Look Once) approach, we are able to incorporate unified, real-time object detection into cell state recognition in this paper, which realizes automotive process of detection and classification of CPE (cytopathic effect) states. In our work, we build up photomicrograph datasets of Vero cell in CPE state and train our YOLO model with it. Finally, our model learns characteristic pixel structure of cell rounding, syncytium and inclusion bodies, acting as end-to-end detector in cell infected experiments.
Applications of free entropy to finite von Neumann algebras

We apply Voiculescu's free entropy to show that free group factors do not possess a simple maximal abelian self-adjoint subalgebra, hence answering a longstanding question of Ambrose and Singer. Introduction. Our goal in this article is to answer a longstanding question concerning the existence of "simple" maximal abelian self-adjoint subalgebras (masa) of factors of type II i. We prove that the factors arising from the free groups on two or more generators possess no such subalgebras. Our techniques for proving this involve, to a very large extent, the brilliant, new free probability theory developed by D. Voiculescu (VDN). More particularly, we make heavy use of Voiculescu's recently introduced "free entropy" (VI, 2, 3), an analogue of classical entropy and Fisher's information measure, which Voiculescu uses to answer another question about factors of type II i. At the beginning of the 1950s, W. Ambrose and I. M. Singer undertook a study of factors of type II i with the aim of modeling them as algebras of "con tinuous matrices" (that is, as algebras of measurable functions, on a unit square, equipped with a matrix-like multiplication). They made considerable progress, but encountered major problems in the form of intricate and seemingly unap proachable questions of a noncommutative, measure-theoretic nature. As a result, nothing of that investigation appears in print (with the exception of a one-sentence abstract from an American Mathematical Society meeting). The very few people who knew of this study carried forward to some of us, in later generations, its highlights and its problems. Possibly the most vexing of these problems is the one that appears as Prob
Non-Abelian hierarchies of compatible maps, associated integrable difference systems and Yang-Baxter maps

We present two non-equivalent families of hierarchies of non-Abelian compatible maps and we provide their Lax pair formulation. These maps are associated with families of hierarchies of non-Abelian Yang-Baxter maps, which we provide explicitly. In addition, these hierarchies correspond to integrable difference systems with variables defined on edges of an elementary cell of the Z2 graph, that in turn lead to hierarchies of difference systems with variables defined on vertices of the same cell. In that respect we obtain the non-Abelian lattice-modified Gel’fand-Dikii hierarchy, together with the explicit form of a non-Abelian hierarchy that we refer to as the lattice-NQC (or lattice- (Q3)0 ) Gel’fand-Dikii hierarchy.
Thin-film encapsulation of the air-sensitive organic-based ferrimagnet vanadium tetracyanoethylene

The organic-based ferrimagnet vanadium tetracyanoethylene (V[TCNE]x∼2) has demonstrated potential for use in both microwave electronics and spintronics due to the combination of high temperature magnetic ordering (TC > 600 K), extremely sharp ferromagnetic resonance (peak to peak linewidth of 1 G), and low-temperature conformal deposition via chemical vapor deposition (deposition temperature of 50 °C). However, air-sensitivity leads to the complete degradation of the films within 2 h under ambient conditions, with noticeable degradation occurring within 30 min. Here, we demonstrate encapsulation of V[TCNE]x∼2 thin films using a UV-cured epoxy that increases film lifetime to over 710 h (30 days) as measured by the remanent magnetization. The saturation magnetization and Curie temperature decay more slowly than the remanence, and the coercivity is unchanged after 340 h (14 days) of air exposure. Fourier transform infrared spectroscopy indicates that the epoxy does not react with the film, and magnetometry m.
Subgrouping multimorbid patients with ischemic heart disease by means of unsupervised clustering: A cohort study of 72,249 patients defined by 3,046 diagnoses

Background: There are no methods for classifying multimorbid patients with ischemic heart disease (IHD), although such methods might be clinically useful due to the marked differences in presentation and disease-course. Methods: A population-based cohort study from a Danish secondary care setting of patients with IHD (2004-2016) and subjected to a coronary angiography (CAG) or coronary computed tomography angiography (CCTA). Data sources were The Danish National Patient Registry, in-hospital laboratory data, and genetic data from Copenhagen Hospital Biobank. Comorbidities included diagnoses assigned prior to presentation of IHD. Patients were clustered my means of the Markov Clustering Algorithm based on the entire spectrum of registered multimorbidity. The two prespecified outcomes were: New ischemic events (including death from IHD causes) and death from non-IHD causes. Patients were followed from date of CAG/CCTA until one of the two outcomes occurred or end of follow-up, whichever came first. Biological and clinical appropriateness of clusters was assessed by comparing risks (estimated from Cox proportional hazard models) in clusters and by phenotypic and genotypic enrichment analyses, respectively. Findings: In a cohort of 72,249 patients with IHD (mean age 63.9 years, 63.1% males), 31 distinct clusters (C1-31, 67,136 patients) were identified. Comparing each cluster to the 30 others, eight clusters (9,590 patients) had statistically significantly higher (five clusters) or lower (three clusters) risk of new ischemic events; 18 clusters (35,982 patients) had a higher (11 clusters) or lower (seven clusters) risk of death from non-IHD causes. All clusters at increased risk of new ischemic events, associated with risk of death from non-IHD causes as well. Cardiovascular or inflammatory diseases were the commonly enriched in clusters (13), and distributions for 24 laboratory test results differed significantly across clusters. Polygenic risk scores for atrial fibrillation and diabetes were increased in x and y clusters respectively. Conclusions: Clustering of patients with IHD based on comorbidities identified subgroups of patients with significantly different clinical outcomes. This novel approach may support differentiation of treatment intensity dependent on expected outcomes.
Delineating disorder-general and disorder-specific dimensions of psychopathology from functional brain networks in a clinical sample of children and adolescents

Background. The complex interplay between functional brain network maturation and psychopathology during development remains elusive. In pursuit of the structure of psychopathology and its underlying neurobiological mechanisms, mapping of both shared and unique functional connectivity patterns in developmental clinical populations is needed. Methods. We investigated shared associations between resting-state functional brain network patterns and psychopathology in children and adolescents aged 5-21 from the Healthy Brain Network study (n = 1880, 62% male). Specifically, we used partial least squares (PLS) to identify latent variables (LV) between functional connectivity and a) symptom scores, and b) diagnostic information. In addition, we investigated associations between functional connectivity and each diagnosis specifically, controlling for other diagnosis categories. Results. PLS identified several statistically significant LVs between functional brain networks and symptoms, mapping onto the psychopathology hierarchy. The first LV, explaining most covariance in functional connectivity, resembled a general psychopathology factor (r=.69, p=.01). This LV implicated weaker connectivity between the salience network and limbic and visual network. The next four LVs entailed externalisation-internalisation, neurodevelopmental, somatoform, and detachment (r=.69, p=.038; r=.70, p=.012; r=.69, p=.031; r=68, p=.012, r=.65, p=.005, respectively), all associated with distinct patterns of functional connectivity. Another PLS with diagnostic data revealed one significant LV (r=.69, p=.009), resembling a cross-diagnostic case-control pattern. This diagnostic LV entailed stronger connectivity between the limbic and visual network, in addition to weaker connectivity within the somatomotor network. The disorder-specific PLS identified a unique connectivity pattern for autism spectrum disorder (ASD) (r=.67, p=.012), implicating weaker connectivity within the somatomotor network and salience network. Conclusions. Transdiagnostic and symptom-based dimensions of psychopathology map onto to the functional networks of the brain during childhood and adolescence, while ASD was the only diagnostic category to exhibit a specific connectivity pattern. This finding supports dimensional and transdiagnostic classifications of psychopathology.
Disentangling the distal association between Î²-Amyloid and tau pathology at varying stages of tau deposition

Studies on the histopathology of Alzheimer's disease (AD) strongly suggest that extracellular {beta}-amyloid (A{beta}) plaques promote the spread of neurofibrillary tau tangles. Despite well-documented spatial discrepancies between these two proteinopathies, their association remains elusive. In this study, we aimed to investigate the distal (non-local) association between tau and A{beta} deposition by studying the A{beta}, and tau positron emission tomography (PET) scans of 572 elderly subjects with an average age of 67.11 years old (476 healthy controls (HC), 14 with mild cognitive impairment (MCI), 82 mild AD). We also leveraged 47 tau-PET and 97 A{beta}-PET scans of healthy young individuals (aged 20-40) to find regional cut-points for tau- and A{beta}-positivity in 68 cortical regions in the brain. Based on these cut-points, we implemented a pseudo longitudinal technique to categorize the elderly subjects into four pathologic phases of AD progression: a no-tau phase, a pre-acceleration phase, an acceleration phase, and a post-acceleration phase. We then assessed the distal association between tau and A{beta} in each phase using multiple linear regression models. First, we show that the association between tau and A{beta} starts distally in medial temporal lobe (MTL) regions of tau (e.g., left and right entorhinal cortex and right parahippocampal gyrus) in the early stage of tau aggregation (pre-acceleration phase). We then show that tau in several bilateral brain regions (particularly the entorhinal cortex and parahippocampal gyrus) exhibits strong distal associations with A{beta} in several cortical brain regions during the acceleration phase. We found a weak distal association in the post-acceleration phase, comprising 96% of MCI or mild AD and A{beta}+ subjects. Most importantly, we show that the HC A{beta}+ subjects have the highest degree of distal association between tau and A{beta} of all the subjects in the acceleration phase. The results of this study characterize the distal association between the two key proteinopathies of AD. This information has potential use for understanding disease progression in the brain and for the development of anti-tau therapeutic agents.
Covid-19 and post-acute sick leave: a hybrid register and questionnaire study in the adult Danish population

Long covid follows 10-20% of first-time SARS-CoV-2 infections, but the societal burden of long covid and risk factors for the condition are not well-understood. Here, we report findings about self-reported sick leave and risk factors thereof from a hybrid survey and register study, which included 37,482 RT-PCR confirmed SARS-CoV-2 cases and 51,336 test-negative controls who were tested during the index and alpha waves. An additional 33 individuals per 1000 took substantial sick leave following acute infection compared to persons with no known history of infection, where substantial sick leave was defined as >1 month of sick leave within the period 1-9 months after the RT-PCR test date. Being female, [≥]50 years, and having certain pre-existing conditions such as fibromyalgia increased risks for taking substantial sick leave. Further research exploring this heterogeneity is urgently needed and may provide important evidence for more targeted preventative strategies.
Techniques of Wind Vector Estimation from Data Measured with a Scanning Coherent Doppler Lidar

Abstract The results of a theoretical study of the feasibility of wind velocity vector estimation from data, measured with a scanning coherent Doppler lidar, are presented. The estimation techniques considered are (a) the direct sine wave fitting (DSWF) and the filtered sine wave fitting (FSWF), where at first the radial wind velocities are estimated and then the wind vector is estimated from the dependence of the radial velocity versus the azimuth angle of the scanning; and (b) the maximum of the function of accumulated spectra (MFAS) and the maximum likelihood for the wind vector estimation (WV ML), where the wind vector is estimated directly from data measured by a scanning lidar without intermediate estimation of the radial wind velocities. It has been shown that due to strong averaging of noise fluctuations in accumulated spectra, the WV ML and MFAS techniques allow one to estimate the wind vector with acceptable accuracy at an essentially lower signal-to-noise ratio (SNR) than the methods of the sin.
Correlation of elevated serum uric acid with coronary artery disease in Xinjiang, China: A retrospective case-control study

Elevated serum uric acid (SUA) levels are associated with coronary artery disease (CAD). However, whether this association is independent of traditional cardiovascular risk factors remains controversial. Our study aimed to determine the concentration of SUA in the presence and severity of CAD in multi-ethnic patients in Xinjiang, China. For this study, 412 consecutive patients with percutaneous coronary intervention (PCI) and 845 individuals with normal coronary angiograms were included in the study. CAD severity was evaluated using the Gensini score index. The SUA concentrations and the levels of various cardiometabolic risk factors were investigated. We assessed the relationship between SUA levels and other cardiometabolic risk factors. Logistic regression was used to evaluate risk factors for PCI patients. SUA levels were significantly elevated in PCI patients compared to those in control subjects (P < .01). With increased UA levels, we found that the risk factors for CAD increased. SUA concentration had a significant positive relationship with total cholesterol (P < .01), triglycerides (P < .01), low-density lipoprotein cholesterol (P < .01), and creatinine (P < .01) in both sexes. In the PCI group, there was no significant correlation between UA levels. SUA levels are not an independent risk factor for CAD. It can be concluded that in Xinjiang, China, SUA is related to multiple risk factors for CAD, but not related to the severity of CAD.
Physician collections are 71% less for early onset scoliosis casting than for growing rod instrumentation: A retrospective cohort study

Growing rod (GR) instrumentation and the elongation, derotation, and flexion (EDF) casting technique are 2 alternatives for the treatment of early-onset scoliosis. Our purpose was to investigate the cost of these treatment options. This was a retrospective cohort study of patients with early-onset scoliosis treated at 2 institutions from 2007 to 2014 with either GR instrumentation or EDF casting. Patients with <2 years of follow-up were excluded. Physician and hospital charges and collections, total procedures, and procedure times until final follow-up or time of fusion were compared. Nineteen patients met the inclusion criteria; 8 in the GR group and 11 in the EDF casting group. There were no significant differences between the groups in age (P = .23), public versus private insurance (P = 1.0), or major curve (P = .21) at the initiation of treatment. Excluding final fusion, the EDF casting patients had an average of 2.1 (range: 0.7–6.6) procedures/year while the GR patients had an average of 1.5 (range: 0.8–2.7) procedures/year. The average procedure time for the EDF group was 104.2 minutes; the average procedure time for the GR group, excluding the index procedure, was 62.40 minutes (P = .001). Physician charges were 85% less for the EDF group (EDF= $1892.75, GR= $12,354.53, P < .001). Physician collections were 71% less for the EDF group (EDF= $731.10, GR= $2554.88, P = .001). Hospital charges and collections were similar between the groups (P = .82, P = .42). Physician charges for casting were approximately 18% of that of GRs. Compared to GRs, physician collections were 71% less for EDF casting patients per year.