Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple Open-Circuit Faults Diagnosis in Six-Phase Induction Motor Drives Using Stator Current Analysis

In recent years, multiphase machines have been presented as a good alternative to the classical three-phase machines due to their ability to operate under fault-tolerant conditions. However, the transition from pre- to post-fault control needs a reliable fault diagnostics algorithm. Accordingly, this article presents a reliable diagnostics approach that allows the detection and identification of multiple open-switches and open-phase faults in power converters fed six-phase induction motors, including adjacent and nonadjacent phases. The proposed method provides normalized numerical signatures from the measured output currents without requiring either tuning effort or detection thresholds. The reliability and robustness of the proposed algorithm are proven through experimental tests.
Enhancement of E-commerce Service by Designing Last Mile Delivery Platform

The revolution of technology and the rapid evolution of the digital world had a significant effect on the development and expansion of e-commerce. Last mile delivery, for which different app-based delivery services have recently emerged, is a new area of research that is not thoroughly addressed. Delivery service is one of the supporting platforms of e-commerce. One of the delivery issues is that many customers experience difficulties in communicating and coordinating with the logistics companies responsible for the delivery service. This challenge is emphasized in this study which introduces a new system to facilitate communication and coordination between customers and logistics companies by using one identity and one interface. This paper is a programming-based study, as the proposed system evaluates a website to serve logistics companies as well as designs an application (app) to serve the customers of logistics companies. Swift, a powerful open-source and object-oriented programming language, and the mark-up language (HTML) were used to build the last mile delivery system. In addition, Firebase, a cloud-hosted real-time database built on Google infrastructure, were used to develop the system. By increasing the level of customer satisfaction and reducing delivery failure rates, this system will eventually increase the prosperity of e-commerce.
An Observational Tool to Assess Work Organizational Factors

In a large 5-year prospective study of work-related upper extremity musculoskeletal disorders (UEMSDs), conducted by the SHARP Program in Washington State, an observational tool was used to assess the organization of work in twelve worksites in the health care and manufacturing industries. The tool, a two-page checklist, assessed the physical, social and temporal aspects of the work, and the global and task level job content. A comparison between industry sectors found variability. Significant associations between industry sector and both structural restraints of the task activities (p<0.0001) and pacing determinant (p<0.0001) were found. Several work organizational factors were negatively correlated including labor skill level and pacing determinant (-0.51, p<0.0001). Other work organization factors were positively correlated such as social content and pacing determinant (0.62, p<0.0001). These data will be used to investigate the relationships between physical, psychosocial, work organizational and individual factors and the risk of UEMSDs.
Eastern Yellow Wagtail Motacilla tschutschensis and Western Yellow Wagtail M. flava in Sri Lanka with comments on their status in South Asia

Summary. Yellow wagtails Motacilla sp. observed in Sri Lanka in November 2019 had the ‘rasping’ voice characteristic of Eastern Yellow Wagtail M. tschutschensis. DNA confirmed two individuals as M. t. tschutschensis / plexa, whilst plumage characters suggested one was M. t. plexa and the other M. t. tschutschensis, the first records of the species in Sri Lanka. Field observations in Colombo, during November 2019–January 2020 yielded 106 yellow wagtail records. Vocalisations of 57 were recorded; all had ‘rasping’ calls, and none had vocal or plumage features diagnostic of Western Yellow Wagtail M. flava. A review of material in Colombo and Tring museums yielded no specimens of Eastern Yellow Wagtail from Sri Lanka, and the species’ status in South Asia is unclear. Seventy-one photographic records of yellow wagtails in Sri Lanka from varied sources revealed seven records of M. f. lutea based on plumage characters. The rest could not be assigned to either Eastern Yellow or Western Yellow Wagtails. Eastern Yellow Wagtail is probably a common winter visitor to Sri Lanka and presumably also numerous on passage further north in South Asia. Birds in this region not identified to species using at least voice should be recorded as the species pair. Further research is required to clarify any previous specimen records of Eastern Yellow Wagtail in Sri Lanka, the status of the subspecies, the migratory routes involved, and the status of both species across South Asia.
Photonic integrated circuits for multiwavelength networks

In this paper we present a scheme for integration of a number of key devices for WDM-networks based on three components. The elementary components, such as phased array demultiplexers, multi mode interference (MMI)-couplers and Mach-Zehnder Interferometer optical switches, are explained and experimental results are presented on integrated Multiwavelength (MW) add-drop multiplexers, MW-optical crossconnects. The integration of optical amplifiers and detectors to MW-sources and MW-receivers is briefly discussed.
Reducing Power Consumption in Core Wavelength Division Multiplexing Optical Networks

Abstract This work proposes some heuristic criteria aiming at saving energy by efficiently switching off optical fibers in generalized multi-protocol label switching-controlled optical networks during low traffic load periods and by taking into account network equipment power consumption. Simulations show that up to 80% of energy can be saved when the traffic is reduced by 20% with respect to its maximum. The impact of network design parameters is also investigated.
Recurrent spiking neural network with dynamic presynaptic currents based on backpropagation

In recent years, spiking neural networks (SNNs), which originated from the theoretical basis of neuroscience, have attracted neuromorphic computing and brain‐like computing due to their advantages, such as neural dynamics and coding mechanism, which are similar to biological neurons. SNNs have become one of the mainstream frameworks in the field of brain‐like computing. However, most of the Leaky Integrate‐and‐Fire (LIF) neuron models currently used by SNNs based on direct training of backpropagation (BP) do not consider the changes in the recurrent connections and the dynamic strength of neuron connections over time. This study presented the LIF neuron model with recurrent connections and a method for dynamically changing the presynaptic currents. Recurrent LIF neurons have an additional cyclic connection compared with classic LIF neurons. Their postsynaptic current stimulates a change in membrane potential at the next time point. Their dynamics were more similar to the activities of biological neurons. We also proposed an efficient and flexible BP training method for recurrent LIF neurons. On the basis of the above methods, we proposed the recurrent SNN with dynamic presynaptic currents based on backpropagation (RDS‐BP). We test the proposed RDS‐BP on three image data sets (MNIST, Fashion‐MNIST and CIFAR‐10) and two text data sets (IMDB and TREC). The results showed that the performance of RDS‐BP not only exceeded the naive SNN models based on BP but also exceeded the SNN methods proposed in previous studies in recent years, which had excellent performance in previous experiments. Our work provides a new LIF neuron model with a recurrent connection and dynamic presynaptic current and a BP training arrangement for the proposed neuron, which could merit developments with neuromorphic and brain‐like computing.
Maximising penetration of wind generation in existing distribution networks

Connections of embedded wind generation (EWG) in the rural distribution system are susceptible to voltage rise. Current operating policy, based on the passive operation of the distribution network, limits the capacity of connected generation based on extreme conditions of minimum load and maximum generation. It is demonstrated that an active distribution network will allow considerably greater penetration of EWG. Three alternative control strategies are evaluated to increase the penetration level of EWG: EWG generation curtailment during low demand; reactive power management using a reactive compensator; and area-based OLTC co-ordinated voltage control. The application of these schemes is illustrated on a rurally connected 11 kV wind farm in a realistic 265-node generic distribution system model. Advanced optimal power flow is used to quantify the benefits of alternative control schemes for various EWG penetration levels. The impact of these schemes on network losses is also assessed.
Common Eider Wintering Trends in Nova Scotia, 1970–2019

Common eiders Somateria mollissima have been a focus of conservation and management efforts in eastern North American for over a century; however, the complex population structure and multiple subspecies make assessing the status of populations challenging. The coastlines of Nova Scotia, Canada, are an important wintering area for common eiders, and significant harvests of common eiders occur in the province. We analyzed trends in the number of wintering common eiders using the coasts of Nova Scotia from dedicated waterfowl surveys flown since 1970, and every year since 1992. We used Generalized Additive Models to assess the apparent non-linear trends in the counts of common eiders over the past 50 y. We found that numbers of common eiders wintering in Nova Scotia increased from 1970 to the early 2010s, with strong growth in the 2000s (peaking at 7% growth/y). Since the early 2010s, the growth has stopped, and the numbers are now declining. Recent declines in the population wintering in Nova Scotia corroborate other evidence that common eiders are declining in the region, and may also indicate distributional shifts of common eiders in eastern North America.
Social Virtual Reality (VR) Involvement Affects Depression When Social Connectedness and Self-Esteem Are Low: A Moderated Mediation on Well-Being

While social interaction and play in a VR environment are becoming ever more popular, little is known about how social VR games affect users. The purpose of this study was to elucidate the role of several contingent factors in social VR games by modeling the relationships between involvement, well-being, depression, self-esteem, and social connectedness. A conditional process-moderated mediation model of the measured variables was analyzed with 220 pieces of collected data. The result showed that: (1) the direct effect of involvement on well-being was significant, and (2) the index of moderated mediation involving depression, self-esteem, and social connectedness was significant. We conclude that high levels of involvement in social VR games by socially isolated users with low self-esteem can negatively affect their well-being. The findings of this study contribute in several ways to our understanding of the effect of social VR games upon users and provide important practical implications.
ORBIT CORRECTION STUDIES USING NEURAL NETWORKS

This paper reports the use of neural networks for orbit correction at the Australian Synchrotron Storage Ring. The proposed system uses two neural networks in an actor-critic scheme to model a long term cost function and compute appropriate corrections. The system is entirely based on the history of the beam position and the actuators, i.e. the corrector magnets, in the storage ring. This makes the system auto-tuneable, which has the advantage of avoiding the measure of a response matrix. The controller will automatically maintain an updated BPM corrector response matrix. In future if coupled with some form of orbit response analysis, the system will have the potential to track drifts or changes to the lattice functions in ”real time”. As a generic and robust orbit correction program it can be used during commissioning and in slow orbit feedback. In this study, we present positive initial results of the simulations of the storage ring in Matlab.
Birds of a feather don’t fact-check each other: Partisanship and the evaluation of news in Twitter’s Birdwatch crowdsourced fact-checking program

There is a great deal of interest in the role that partisanship, and cross-party animosity in particular, plays in interactions on social media. Most prior research, however, must infer users’ judgments of others’ posts from engagement data. Here, we leverage data from Birdwatch, Twitter’s crowdsourced fact-checking pilot program, to directly measure judgments of whether other users’ tweets are misleading, and whether other users’ free-text evaluations of third-party tweets are helpful. For both sets of judgments, we find that contextual features – in particular, the partisanship of the users – are far more predictive of judgments than the content of the tweets and evaluations themselves. Specifically, users are more likely to write negative evaluations of tweets from counter-partisans; and are more likely to rate evaluations from counter-partisans as unhelpful. Our findings provide clear evidence that Birdwatch users preferentially challenge content from those with whom they disagree politically. While not necessarily indicating that Birdwatch is ineffective for identifying misleading content, these results demonstrate the important role that partisanship can play in content evaluation. Platform designers must consider the ramifications of partisanship when implementing crowdsourcing programs.
Technical Needs for Prototypic Prognostic Technique Demonstration for Advanced Small Modular Reactor Passive Components

This report identifies a number of requirements for prognostics health management of passive systems in AdvSMRs, documents technical gaps in establishing a prototypical prognostic methodology for this purpose, and describes a preliminary research plan for addressing these technical gaps. AdvSMRs span multiple concepts; therefore a technology- and design-neutral approach is taken, with the focus being on characteristics that are likely to be common to all or several AdvSMR concepts. An evaluation of available literature is used to identify proposed concepts for AdvSMRs along with likely operational characteristics. Available operating experience of advanced reactors is used in identifying passive components that may be subject to degradation, materials likely to be used for these components, and potential modes of degradation of these components. This information helps in assessing measurement needs for PHM systems, as well as defining functional requirements of PHM systems. An assessment of current state-of-the-art approaches to measurements, sensors and instrumentation, diagnostics and prognostics is also documented. This state-of-the-art evaluation, combined with the requirements, may be used to identify technical gaps and research needs in the development, evaluation, and deployment of PHM systems for AdvSMRs. A preliminary research plan to address high-priority research needs for the deployment of PHM systemsmore » to AdvSMRs is described, with the objective being the demonstration of prototypic prognostics technology for passive components in AdvSMRs. Greater efficiency in achieving this objective can be gained through judicious selection of materials and degradation modes that are relevant to proposed AdvSMR concepts, and for which significant knowledge already exists. These selections were made based on multiple constraints including the analysis performed in this document, ready access to laboratory-scale facilities for materials testing and measurement, and potential synergies with other national laboratory and university partners. « less
Analysis of the potential and mechanism of Ginkgo biloba in the treatment of Alzheimer's disease based on network pharmacology.

Objective Study the principle and possible mechanism of Ginkgo biloba in the treatment of Alzheimer's disease (AD) which is based on network pharmacology. Methods The potential targets of active ingredients of Ginkgo biloba were collected by Traditional Chinese Medicine Integrated Database platform (TCMSP). TCMSP is a pharmacological system for drug discovery from Chinese herbal medicine. The disease targets of AD were searched and collected by the database of gene-disease associations (DisGeNET) and literature. The obtained targets were standardized by the UniProt database. STING network platform and Cytoscape were used to construct protein-protein interaction network (PPI) of the key targets. According to Materscape, we clarify the possible mechanism of action including Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analysis. Results The compound-target network contains 27 active ingredients, 191 related targets, 18 key targets, including PLAU, HMOX1, TNF, INSR, MPO, MAOB, IGF2, IL1B, ESR1, BCL2, ACHE, BAX, GSK3B, PPARG, SLC2A4, NOS3, CASP3, VEGFA. GO enrichment analysis has got a total of 640 GO items, including 609 biological process (BP) items (95.1%), 16 molecular function (MF) items (2.5%) and 15 cellular component (CC) items (2.4%). After KEGG enrichment, 44 pathways were obtained. Conclusion Through the construction of "component-target-pathway", GO biological function and KEGG pathway enrichment analysis were performed on core targets, and the possibility of Ginkgo biloba for the treatment of AD was explored from multiple targets and pathways, which provided a new approach for multi-target treatment.
Radio Frequency Signature based Implicit Object Movement Detection in an Indoor Environment

This paper considers implicit detection problem of object movement in an indoor environment. Specifically, based on radio frequency (RF) attributes in multicarrier transmissions, channel state information (CSI) is exploited to recognize the dynamics of monitoring area. Two wireless communication nodes in the room share the CSI as a byproduct, which fluctuates sensitively according to the movements of objects in the channel space. Thus, by tracking the changes of the CSI, movements of objects can be implicitly detected with simple statistical measures. To this end, we conduct experiments with universal software radio peripheral (USRP) settled onto linear stage in conditions where the object has different sizes and speeds. In numerical evaluation, we analyze the detection performance of the RF signature based implicit object movement detection under various experimental conditions. The results show that the proposed scheme effectively detects the movement of objects, even for small ones less than half of the RF wavelength.
Deontology vs. utilitarianism: Understanding the basis for the moral theories in medicine

We live in a society that functions with a system of morals that seeks to determine what is right or wrong. Each society is ruled by moral codes that guide people’s action to minimize the risk of sliding into structural dysfunction. To understand the importance of human values within which the society can live and operate in a harmonious state, many great philosophers such as Immanuel Kant and Bentham Jeremy have presented moral theories based on the principles of deontology and utilitarianism, respectively. These two ethical major streams of thought influence ethical decision-making. In utilitarian principles, outcomes justify the means or ways to achieve it and as such the focus is on the consequences of an action, whereas in deontological ethics, obligation to duty is what matters irrespective of the outcome. In medicine, deontology is patient centered, whereas utilitarianism is society centered. Practically, these two moral thoughts seem contradictory but each has its own advantages and disadvantages, which may occasionally intertwine to reach a midpoint level in a critical situation. In a well-resourced setting, the deontology approach to healthcare issues seems more practicable than the utilitarian approach because the duty of care is more focused on the individual and not necessarily on the society. As every rational being thinks of him- or herself as an end, doctors must act in such a way that they treat humanity and their patients always as an end and never simply as a means. The moral worth of a clinician’s action in patients’ management therefore depends exclusively on the moral acceptability of the rule of obligation to duty, that is, “cause no harm” irrespective of the consequences. This article highlights the fundamentals of deontology and utilitarian principles as moral theories in medicine with basic examples.
Comparative Anatomical Assessment of Full vs Limited Transcavernous Exposure of the Carotid-Oculomotor Window

BACKGROUND: Although the full transcavernous approach affords extensive mobilization of the oculomotor nerve (OMN) for exposure of the basilar apex and interpeduncular cistern region, this time-consuming procedure requires substantial dural dissection along the anterior middle cranial fossa. OBJECTIVE: To quantify the extent to which limited middle fossa dural elevation affects the carotid-oculomotor window (C-OMW) surgical area during transcavernous exposure after OMN mobilization. METHODS: Four cadaveric specimens were dissected bilaterally to study the C-OMW area afforded by the transcavernous exposure. Each specimen underwent full and limited transcavernous exposure and anterior clinoidectomy (1 procedure per side; 8 procedures). Limited exposure was defined as a dural elevation confined to the cavernous sinus. Full exposure included dural elevation over the gasserian ganglion, extending to the middle meningeal artery and lateral middle cranial fossa. RESULTS: The C-OMW area achieved with the limited transcavernous exposure, compared with full transcavernous exposure, provided significantly less total area with OMN mobilization (22 ± 6 mm2 vs 52 ± 26 mm2, P = .03) and a smaller relative increase in area after OMN mobilization (11 ± 5 mm2 vs 36 ± 13 mm2, P = .03). The increase after OMN mobilization in the C-OMW area after OMN mobilization was 136% ± 119% with a limited exposure vs 334% ± 216% with a full exposure. CONCLUSION: In this anatomical study, the full transcavernous exposure significantly improved OMN mobilization and C-OMW area compared with a limited transcavernous exposure. If a transcavernous exposure is pursued, the difference in the carotid-oculomotor operative corridor area achieved with a limited vs full exposure should be considered.