Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Criterion and Analysis of Hybrid-Excited Vernier Reluctance Linear Machine With Slot Halbach PM Arrays

This article proposes a hybrid-excited vernier reluctance linear machine (HEVRLM) with slot Halbach permanent magnet (PM) arrays. By utilizing Halbach PM arrays, leakage flux that exists in the consequent pole structure can be greatly reduced. Besides, the dc excitation can enhance both the flux regulation capability and the force density. First, the machine topology and working principle are introduced. Then, a magnetomotive force and permeance model is established to analytically calculate the air-gap flux density under hybrid excitation. Moreover, the flux regulation capability, thrust force characteristic, and PM demagnetization risk of the proposed machine are comparatively studied based on the finite-element method. It shows that Halbach PM arrays can effectively reduce the leakage flux and further significantly improve the thrust force density by more than 30%. In addition, hybrid excitation is a feasible approach to further improve the thrust force density by distributing the optimal dc and ac currents. Moreover, the proposed HEVRLM exhibits high thrust force density compared with the other three types of hybrid-excited linear machines. Finally, a prototype of HEVRLM is manufactured and tested for experimental validation.
Linking managerial capital with explorative strategy and growth in China

Purpose This study aims to consider the effect of managerial capital (psychological, intellectual and social) on business strategy and growth. Per upper echelon theory, managerial capital enables high-level managers to drive firm performance in uniquely personal ways. The authors test the effects of managerial capital on a manager’s dominant regulatory focus (promotion and prevention balance) and whether having an explorative strategy mediates the relationship between dominant regulatory focus and the percentage of business unit growth expected from new lines of business. Design/methodology/approach Survey data from a sample of 211 Chinese executives were used to assess measurement and test hypotheses by means of structural equation modeling. Findings Results indicate that the direction of business strategy is influenced by the balance between promotion and prevention focus, which is shaped by managers’ risk propensity, product-market familiarity and bonding tie diversity. Explorative strategy, in turn, mediates the relationship between dominant regulatory focus and expectations of innovative growth. Originality/value Examining the effects of managerial capital on innovative firm strategy reveals the role of psychosocial traits of decision-makers.
The Role of Mesenchymal Stem Cells in Regulating Astrocytes-Related Synapse Dysfunction in Early Alzheimer’s Disease

Alzheimer’s disease (AD), a neurodegenerative disease, is characterized by the presence of extracellular amyloid-β (Aβ) aggregates and intracellular neurofibrillary tangles formed by hyperphosphorylated tau as pathological features and the cognitive decline as main clinical features. An important cellular correlation of cognitive decline in AD is synapse loss. Soluble Aβ oligomer has been proposed to be a crucial early event leading to synapse dysfunction in AD. Astrocytes are crucial for synaptic formation and function, and defects in astrocytic activation and function have been suggested in the pathogenesis of AD. Astrocytes may contribute to synapse dysfunction at an early stage of AD by participating in Aβ metabolism, brain inflammatory response, and synaptic regulation. While mesenchymal stem cells can inhibit astrogliosis, and promote non-reactive astrocytes. They can also induce direct regeneration of neurons and synapses. This review describes the role of mesenchymal stem cells and underlying mechanisms in regulating astrocytes-related Aβ metabolism, neuroinflammation, and synapse dysfunction in early AD, exploring the open questions in this field.
An Efficient Framework for Detection and Classification of IoT Botnet Traffic

The Internet of Things (IoT) has become an integral requirement to equip common life. According to IDC, the number of IoT devices may increase exponentially up to a trillion in near future. Thus, their cyberspace having inherent vulnerabilities leads to various possible serious cyber-attacks. So, the security of IoT systems becomes the prime concern for its consumers and businesses. Therefore, to enhance the reliability of IoT security systems, a better and real-time approach is required. For this purpose, the creation of a real-time dataset is essential for IoT traffic analysis. In this paper, the experimental testbed has been devised for the generation of a real-time dataset using the IoT botnet traffic in which each of the bots consists of several possible attacks. Besides, an extensive comparative study of the proposed dataset and existing datasets are done using popular Machine Learning (ML) techniques to show its relevance in the real-time scenario.
A Study on Parents' Attitudes towards Middle School Students' Online Learning Based on Statistical Analysis

Based on the role separation scenario in which students need parental support, this paper explores the effect of parents' attitude on secondary school students' online learning. Through structural equation model analysis and regression analysis of 745 valid responses to a questionnaire, the data results show that parents' subjective dimension includes perceived gain and perceived loss, and social factor dimension includes teachers' influence and online comments. Perceived value is the key influencing factor of parents' attitude towards secondary school students in online learning platform. Perceived usefulness and platform information influence parents' attitude positively and significantly, while perceived risk influences parents' attitude negatively and significantly. In the dimension of social factors, teachers' influence positively influences parents' attitude, and online comments modulate the influence of perceived value on parents' attitude.
URF: Urban Radiance Fields

Our network architecture is illustrated in Fig. 1 and has three components. The first component is the neural radiance field network, which is designed similarly to the original network in NeRF [10]. It consists of a series of fully connected layers of width 256 that take as input the 3D location of a point x, y, z and the viewing direction dx, dy, dz and output the RGB color and the density at that point. The second component is the sky network, which takes as an input the direction dx, dy, dz of a ray pointing at a sky point, and outputs its color. Finally, the third component is an exposure compensation network that takes as an input an exposure latent code and estimates the affine transformation to be applied to the color values output by the radiance field network. There is a different affine transformation per image. This compensates for the different exposures across input images. All three network are trained jointly so that the final colors output by the model will match the pixel colors in the input images.
Effect of Art Media on the Collective Mood of a Middle School Art Therapy Group: A Development of a Method

The art medium influences emotional expression and is a tool for change within the therapeutic art process. Research reveals physiological changes in participants’ heart rate and brain activity when working with art materials in response to the art medium’s resistive and fluid qualities. Art therapists can assess a person’s emotional presentation and decide which art media are psychologically appropriate for a person by observing changes in mood, emotions, and nonverbal language. A therapeutic game was played over three sessions with an art therapy group of adolescents, ages 11-14 years old, within a therapeutic middle school setting. Changes in the group’s emotional response while using fine tip markers, oil pastels, and tempera paint were explored. Variables affecting individual group members and emotions that transferred to the collective mood of the art therapy group included: the art medium, structure of art materials and creative activity, complexity of the task, and therapeutic environment. It was found that the art medium is a component of a therapeutic art-making experience and cannot be isolated. The art therapist must intentionally select the art medium or creative activity when working within an art therapy group to ensure an effective therapeutic experience.
Combining static analysis error traces with dynamic symbolic execution (experience paper)

This paper reports on our experience implementing a technique for sifting through static analysis reports using dynamic symbolic execution. Our insight is that if a static analysis tool produces a partial trace through the program under analysis, annotated with conditions that the analyser believes are important for the bug to trigger, then a dynamic symbolic execution tool may be able to exploit the trace by (a) guiding the search heuristically so that paths that follow the trace most closely are prioritised for exploration, and (b) pruning the search using the conditions associated with each step of the trace. This may allow the bug to be quickly confirmed using dynamic symbolic execution, if it turns out to be a true positive, yielding an input that triggers the bug. To experiment with this approach, we have implemented the idea in a tool chain that allows the popular open-source static analysis tools Clang Static Analyzer (CSA) and Infer to be combined with the popular open-source dynamic symbolic execution engine KLEE. Our findings highlight two interesting negative results. First, while fault injection experiments show the promise of our technique, they also reveal that the traces provided by static analysis tools are not that useful in guiding search. Second, we have systematically applied CSA and Infer to a large corpus of real-world applications that are suitable for analysis with KLEE, and find that the static analysers are rarely able to find non-trivial true positive bugs for this set of applications. We believe our case study can inform static analysis and dynamic symbolic execution tool developers as to where improvements may be necessary, and serve as a call to arms for researchers interested in combining symbolic execution and static analysis to identify more suitable benchmark suites for evaluation of research ideas.
A POTENTIAL MEDIATOR OF ELECTROPHYSIOLOGICAL DERANGEMENTS

A B S T R A C T We have recently demonstrated enhanced a-adrenergic responsiveness assessed electrophysiologically in ischemic and reperfused myocardium. This study was performed to determine whether ischemia alters a,-adrenergic receptor number (Bmax) or affinity (KD) based on [3H]prazosin binding. Within 30 min after occlusion, Bmax increased in ischemic regions to 207% of control to 27+4 fmol/mg protein, with the increase persisting (+ 141% of control) during early reperfusion (2 min), before returning to control base-line values (13±1.6) after 15 min of reperfusion. KD was not altered at any interval studied. Beta receptor number ([3H]dihydroalprenolol) and Na+K+ ATPase activity were comparable in control compared to ischemic myocardium although (3-receptor Bmax and KD in both regions decreased during early reperfusion. Thus, the enhanced a-adrenergic responsivity previously recognized with ischemia and reperfusion is correlated with an increase in aladrenergic receptors.
BJRD14119 1..9

Objective: The partial-volume effect (PVE) is a consequence of limited (i.e. finite) spatial resolution. PVE can lead to quantitative underestimation of activity concentrations in reconstructed images, which may result in misinterpretation of positron emission tomography (PET) scan images, especially in the brain. The PVE becomes significant when the dimensions of a source region are less than two to three times the full width at half maximum spatial resolution of the imaging system. In the present study, the ability of super-resolution (SR) image reconstruction to compensate for PVE in PET was characterized. Methods: The ability of SR image reconstruction technique to recover activity concentrations in small structures was evaluated by comparing images before and after image reconstruction in the NEMA/IEC phantom (Washington, DC), in the Hoffman brain phantom and in four human brain subjects (three normal subjects and one atrophic brain subject) in terms of apparent recovery coefficient (ARC) and percentage yield. Results: Both the ARC and percentage yield are improved after SR implementation in NEMA/IEC phantom and Hoffman brain phantom. When tested in normal subjects, SR implementation can improve the intensity and justify SR efficiency to correct PVE. Conclusion: SR algorithm can be used to effectively correct PVE in PET images. Advances in knowledge: The current research focused on brain PET scanning exclusively; future work will extend to whole-body imaging.
Insulating Properties

A novel model lpid bilayer is prepared by the addifion of phospholipid vesides to akanethiol monolayers on gold. This stppted hybrid biayer ebraneis rugged, easily and reproducyp ared in the absence of organic solvet and is stabl for very long peris of tme. We have characterized the inulatn characterisic offtis by examining the rate of elecr trainfer and by mpedance spectoscopy. Supported hybrid biayers formed frophC and akaretiols are pinol-ree and demostrate measured values of conductvity and which are witn an order of magnide of that reported for black Ipid values a delctric constant of 2.7 for phospholipid membranes in the absence of organic solvent The protein toxin, mtin, destroys the insulating yof the pospholipid layer without alt the blayer structure. This model m brdane wiN albow the n of the effect of lpid membrane perturbants on the insdulaing properfies of natural lipid r .
Promoting Public Library Sustainability through Data Mining: R and Excel

Information professionals have a vested interest in leveraging data to advocate for, justify, and support libraries’ political and financial activities. This research explores New York State public library data by analyzing the economic and employment disparities among New York State public libraries, affording steps toward a greater balance in terms of data accessibility and transparency. Acquiring and warehousing data is neither meaningful nor useful unless a workflow around data mining and analysis is established to ground assessment, recruiting, budgeting, decision-making, benchmarking, and community empowerment. The potential impacts of a dearth in best practices for quickly summarizing and interpreting public and enterprise data culminate not only in lost opportunities but also neglected resources. This report documents the workflow and insights from an analysis of the Institute of Museum and Library Services’ (IMLS) voluntary annual survey of public libraries in the United States from 2008-2011 using the statistical analysis tools R and MS Excel. The authors explored trends in New York State public libraries and found statistical correlations between library location, resources, and employee education with analysis steps that could be reproducible for libraries globally and nation-wide. Libraries may ostensibly seem behind the curve in understanding how to quickly assess the community. Yet librarians can leverage local data and international trends to better serve their respective communities, taking business insights and transforming them into public library ethos.
CRITICAL CARE PERSPECTIVE The POOR Get POORer: A Hypothesis for the Pathogenesis of Ventilator-induced Lung Injury

Protective ventilation strategies for the injured lung currently revolve around the use of low VT, ostensibly to avoid volutrauma, together with positive end-expiratory pressure to increase the fraction of open lung and reduce atelectrauma. Protective ventilation is currently applied in a one-size-fits-all manner, and although this practical approach has reduced acute respiratory distress syndrome deaths, mortality is still high and improvements are at a standstill. Furthermore, how tominimize ventilator-induced lung injury (VILI) for any given lung remains controversial and poorly understood. Here we present a hypothesis of VILI pathogenesis that potentially serves as a basis upon which minimally injurious ventilation strategies might be developed. This hypothesis is based on evidence demonstrating thatVILI begins in isolated lung regionsmanifesting a Permeability-Originated Obstruction Response (POOR) in which alveolar leak leads to surfactant dysfunction and increases local tissue stresses. VILI progresses topographically outward from these regions in a POOR-get-POORer fashion unless steps are taken to interrupt it. We propose that interrupting the POOR-get-POORer progression of lung injury relies on two principles: 1) open the lung to minimize the presence of heterogeneity-induced stress concentrators that are focused around the regions of atelectasis, and 2) ventilate in a patientdependent manner that minimizes the number of lung units that close during each expiration so that they are not forced to rerecruit during the subsequent inspiration. These principles appear to be borne out in both patient and animal studies in which expiration is terminated before derecruitment of lung units has enough time to occur.
Liver mitochondrial cytochrome P450 CYP27 and recombinant-

A cytochrome P450 catalyzing la-hydroxylation of 25-hydroxyvitamin D3 was purified from pig liver mitochondria. It also catalyzed 27-hydroxylation of 25hydroxyvitamin D3 and 25-hydroxylation of vitamin D3. The ratio between the la-, 27-, and 25-hydroxylase activities remained essentially constant during the purification. Substrates for sterol 27-hydroxylase CYP27 inhibited and a monoclonal antibody raised against CYP27 immunoprecipitated the la-, 27-, and 25-hydroxylase activities. Apparently homogeneous preparations of CYP27 from pig and rabbit liver mitochondria catalyzed la-hydroxylation. Human liver mitochondrial CYP27 was expressed from its cDNA in Escherichia coli. The nucleotide sequence encoding the N terminus of CYP27 was modified in the first eight codons to achieve expression in E. coli. The purified recombinant-expressed CYP27 reconstituted with the electron-transferring system of adrenal mitochondria catalyzed la-hydroxylation of 25-hydroxyvitamin D3. Expression ofunmodified CYP27cDNA in simian COS cells confirmed the la-hydroxylase activity toward 25-hydroxyvi-
In a world of data signals, resilience is subsumed into a design paradigm

Copyright and reuse: The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.
Age-related Macular Degeneration: Nutrition, Genes and Deep Learning—The LXXVI Edward Jackson Memorial Lecture

PURPOSE: To evaluate the importance of nutritional supplements, dietary pattern, and genetic associations in age-related macular degeneration (AMD); and to discuss the technique of artificial intelligence/deep learning to potentially enhance research in detecting and classifying AMD. DESIGN: Retrospective literature review. METHODS: To review the studies of both prospective and retrospective (post hoc) analyses of nutrition, genetic variants, and deep learning in AMD in both the Age-Related Eye Disease Study (AREDS) and AREDS2. RESULTS: In addition to demonstrating the beneficial effects of the AREDS and AREDS2 supplements of antioxidant vitamins and zinc (plus copper) for reducing the risk of progression to late AMD, these 2 studies also confirmed the importance of high adherence to Mediterranean diet in reducing progression of AMD in persons with varying severity of disease. In persons with the protective genetic alleles of complement factor H (CFH), the Mediterranean diet had further beneficial effect. However, despite the genetic association with AMD progression, prediction models found genetic information added little to the high predictive value of baseline severity of AMD for disease progression. The technique of deep learning, an arm of artificial intelligence, using color fundus photographs from AREDS/AREDS2 was superior in some cases and noninferior in others to clinical human grading (retinal specialists) and to the gold standard of the certified reading center graders. CONCLUSIONS: Counseling individuals affected with AMD regarding the use of the AREDS2 supplements and the beneficial association of the Mediterranean diet is an important public health message. Although genetic testing is important in research, it is not recommended for prediction of disease or to guide therapies and/or dietary interventions in AMD. Techniques in deep learning hold great promise, but further prospective research is required to validate the use of this technique to provide improvement in accuracy and sensitivity/specificity in clinical research and medical management of patients with AMD. IT IS AN EXTRAORDINARY PRIVILEGE AND HONOR TO deliver the 76th Jackson Memorial Lecture. 1 am humbled to join a stellar group of mentors and colleagues, who have made major contributions to our field. This special honor, which truly recognizes the importance of Inquiries to Emily Y. Chew, Division of Epidemiology and Clinical Applications, National Eye Institute/National Institutes of Health, Building 10, CRC, Room 3-2531, 10 Center Dr, MSC 1204, Bethesda, MD 20892-1204, USA; echew@nei.nih. gov. HHS Public Access Author manuscript Am J Ophthalmol. Author manuscript; available in PMC 2021 July 30. Published in final edited form as: Am J Ophthalmol. 2020 September ; 217: 335–347. doi:10.1016/j.ajo. 2020.05. 042. A uhor M anscript
Discordance in the Epithelial Cell-Dendritic Cell Major Histocompatibility Complex Class II Immunoproteome: Implications for Chlamydia Vaccine Development

Received 18 July 2019; editorial decision 1 October 2019; accepted 5 October 2019; published online October 10, 2019. K. P. K. and H. Y. contributed equally to this study. Correspondence: R. C. Brunham, MD, 655 West 12th Avenue, Vancouver, BC V5Z 4R4, Canada (robert.brunham@bccdc.ca). The Journal of Infectious Diseases 2020;221:841–50 © The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. DOI: 10.1093/infdis/jiz522 Discordance in the Epithelial Cell-Dendritic Cell Major Histocompatibility Complex Class II Immunoproteome: Implications for Chlamydia Vaccine Development