Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduced Operation Current of Oxygen-Doped ZrN Based Resistive Switching Memory Devices Fabricated by the Radio Frequency Sputtering Method

In this work, we report the feasibility of resistive switching (RS) properties of oxygen-doped zirconium nitride (O-doped ZrN) films with platinum (Pt) and platinum silicide (PtSi) bottom electrode (BE), produced by a sputtering method. Compared to O-doped ZrN using Pt BE, when Pt/p-Si was used as BE, the foaming voltage slightly increased, but the operation current was reduced by about two orders. In particular, the average reset current of the O-doped ZrN memory cells was reduced to 50 µA, which can delay deterioration of the element, and reduces power consumption. Therefore, the use of PtSi as the BE of the O-doped ZrN films is considered highly effective in improving reliability through reduction of operating current of the memory cells.
Innovation risk management in financial institutions

ARTICLE INFO Svitlana Mishchenko, Svitlana Naumenkova, Volodymyr Mishchenko and Dmytro Dorofeiev (2021). Innovation risk management in financial institutions. Investment Management and Financial Innovations, 18(1), 190-202. doi:10.21511/imfi.18(1). 2021.16 DOI http://dx.doi. org/10.21511/imfi.18(1). 2021.16 RELEASED ON Wednesday, 17 February 2021 RECEIVED ON Sunday, 17 January 2021 ACCEPTED ON Tuesday, 16 February 2021
Ultrawideband, high performance, cavity‐backed Archimedean spiral antenna with Phelan balun for direction finding and radar warning receiver applications

This article presents a 2 to 18 GHz absorber‐loaded cavity‐backed (AL‐CB) two‐arm Archimedean spiral antenna fed by a 186 Ω Phelan balun for direction finding (DF) and radar warning receiver (RWR) applications. The balun's cross‐sectional area diameter at the antenna feeding region is less than the diameter of the active region ring at 18 GHz. This feature provides a lower axial‐ratio (AR) and wobble‐on‐wave (WoW) at higher operating frequencies and far theta angles and distinguishes the proposed AL‐CB spiral antenna from its counterparts and commercial off‐the‐shelf (COTS) products. The proposed antenna is 60 mm in diameter and 50 mm in height. The voltage standing wave ratio is typically less than 2 (max. 2.6), which is within 2 to 18 GHz frequency range, and the AR is less than 1 dB with a peak of 3.1 dB in off‐axis Ɵ < 60°. The WoW is less than 2 dB in off‐axis Ɵ < 60°. This study's simulation and measurements both demonstrate the ultrawideband (UWB) with 1:9 bandwidth, unidirectional, symmetric, and circularly polarized radiation characteristics of the proposed antenna for DF and RWR applications.
Technology and concussion: A scoping review

Background Technology for concussion identification and management is rapidly expanding across the continuum of care. Although many technologies offer a range of services around concussion, there is an absence of a non-commercial online location for medical providers to access regarding the functionality of the various technologies used in concussion identification and management. Objective The purpose of this review is to present research findings on technology for concussion identification and management. Methods Searches for eligible studies were conducted using the PubMed, EMBASE, and Scopus databases with specific search criteria. Through a stepwise process, full-text articles were selected for inclusion if they described clinically useful electronic technologies (i.e. electronics able to be used in standard clinical environments including telehealth) by healthcare providers or end users (i.e. parents or athletes). Results A total of 29 articles were included in this review and described technology used to measure symptoms (3), neurocognitive performance (7), the visual system (4), and balance or dual task performance (18). Within the results, various technologies demonstrated increased utility for concussion identification, often detecting subtle deficits not possible with current low-tech clinical methods, differentiating those with concussion from those without concussion, with strong reliability and validity. Conclusion Innovative technologies included in this review demonstrate enhanced ability to identify and manage symptoms of concussion, neurocognitive deficits, visual deficits, and balance and dual-task deficits.
Lingering Identity as Chronically Ill and the Unanticipated Effects of Life-Changing Precision Medicine in Cystic Fibrosis: A Case Report

Cystic fibrosis (CF) is the leading genetic disease among Caucasians; however, advances in diagnosis and treatment have improved both quality and quantity of life for those affected. A remarkable recent discovery is the triple-drug combination, elexacaftor/tezacaftor/ivacaftor, which has been touted as a “miracle drug” for CF because of its demonstrated efficacy and safety. This case study reports on an adult woman with CF who experienced positive life-changing results from elexacaftor/tezacaftor/ivacaftor, and yet discovered that she lived in fear that its effectiveness would diminish, and her debilitating symptoms would return. Her lingering identity as chronically ill tainted her view of her new life with skepticism and pervasive anxiety. This case highlights a critical need to engage in early, regular and sensitive discussions with patients before initiating treatments that may affect their emotional and mental health and provide referrals or services to meet those emergent needs.
A deep learning approach for predicting critical events using event logs

Event logs, comprising data on the occurrence of different types of events and associated times, are commonly collected during the operation of modern industrial machines and systems. It is widely believed that the rich information embedded in event logs can be used to predict the occurrence of critical events. In this paper, we propose a recurrent neural network model using time‐to‐event data from event logs not only to predict the time of the occurrence of a target event of interest, but also to interpret, from the trained model, significant events leading to the target event. To improve the performance of our model, sampling techniques and methods dealing with the censored data are utilized. The proposed model is tested on both simulated data and real‐world datasets. Through these comparison studies, we show that the deep learning approach can often achieve better prediction performance than the traditional statistical model, such as, the Cox proportional hazard model. The real‐world case study also shows that the model interpretation algorithm proposed in this work can reveal the underlying physical relationship among events.
Different Sclerostin Response to Cycling and Running at the Same Exercise Intensity

Recreational cycling is a popular activity which stimulates and improves cardiovascular fitness. The corresponding benefits for bone are unclear. This study examined the effect of running (high-impact) vs. cycling (low-impact), at the same moderate-to-vigorous exercise intensity, on markers of bone formation (N-terminal propeptide of type I collagen, PINP) and bone resorption (C-telopeptide of type I collagen, CTX-1), a non-collagenous bone remodeling marker (osteocalcin), as well as bone-modulating factors, including parathyroid hormone (PTH), irisin (myokine) and sclerostin (osteokine). Thirteen healthy men (23.7±1.0 y) performed two progressive exercise tests to exhaustion (peak VO2) on a cycle ergometer (CE) and on a treadmill (TM). On subsequent separate days, in randomized order, participants performed 30-min continuous running or cycling at 70% heart rate reserve (HRR). Blood was drawn before, immediately post- and 1h into recovery. PTH transiently increased (CE, 51.7%; TM, 50.6%) immediately after exercise in both exercise modes. Sclerostin levels increased following running only (27.7%). Irisin increased following both running and cycling. In both exercise-modes, CTX-1 decreased immediately after exercise, with no significant change in PINP and osteocalcin. At the same moderate-to-vigorous exercise intensity, running appears to result in a greater transient sclerostin response compared with cycling, while the responses of bone markers, PTH and irisin are similar. The longer-term implications of this differential bone response need to be further examined.
Optimal allocation of protection and control devices in smart distribution systems: Models, methods, and future research

The fundamental goal of the distribution system operator (DSO) is to serve its customers with reliable and low ‐ cost electricity. Failures in power distribution systems are respon-sible for 80% of customer service interruptions. The emergence of smart distribution system (SDS) with advanced distribution automation (DA) and communication infrastructure offers a great opportunity to improve reliability, through the automation of fault location, isolation, and service restoration (FLISR) process. DA includes the installation of protection and control devices (PCD). The use of PCD makes fault management more efficient, reduces average outage duration per customer in case of faults, reduces costs due to unsupplied energy, and improves distribution system reliability. Although the use of PCD remarkably enhances distribution system reliability, it is neither economical nor affordable to install them in all potential locations. To obtain the optimal allocation of PCD (OAPCD), an optimisation problem has to be formulated and solved. Several models and methods have been suggested for the OAPCD in SDSs. Herein, an overview of the state ‐ of ‐ the ‐ art models and methods applied to the OAPCD in SDSs are introduced, identifying
Routing and Scheduling of Electric Buses for Resilient Restoration of Distribution System

Electric buses (EBs) have been widely adopted in public transit. EBs can feed power back to the distribution system (DS) at a charging station and serve as temporary mobile power sources (MPSs), such as hurricanes. Thus, they have great potential to enhance grid resilience against meteorological disasters. This article proposes a DS restoration method for enhancing resilience considering the routing and scheduling of a group of EBs. To maintain the function of EBs in public transit, we establish an EB scheduling problem (EBSP) with predetermined optional service trips. The schedule must meet a certain public transit demand, and the not-in-service EBs can transfer power among charging stations, unleashing their abilities as MPSs. The proposed model considers the en-route energy consumption of EBs, and the restoration process aims to minimize the losses of loads over time and the energy usage of EBs for supporting the grid. The problem is finally cast as a mixed-integer linear program (MILP), which can be processed by off-the-shelf solvers. The proposed model is tested on two systems with dozens of EBs. The results validate our work’s effectiveness and demonstrate the potential of EBs in enhancing the resilience of DSs.
What Makes Content Engaging? How Emotional Dynamics Shape Success

Some cultural products (e.g., books and movies) catch on and become popular, while others fail. Why? While some have argued that success is unpredictable, we suggest that period-to-period shifts in sentiment—what we term sentiment volatility—enhance engagement. Automated sentiment analysis of over 4,000 movies demonstrates that more volatile movies are evaluated more positively. Consistent with the notion that sentiment volatility makes experiences more stimulating, the effect is stronger in genres where evaluations are more likely to be driven stimulation (i.e., thrillers rather than romance). Further, analysis of over 30,000 online articles demonstrate that people are more likely to continue reading more volatile articles. By manipulating sentiment volatility in follow-up experiments, we underscore its causal impact on evaluations, and provide evidence for the role of stimulation in these effects. Taken together, the results shed light on what drives engagement, the time dynamics of sentiment, and cultural analytics or why some cultural items are more successful.
Improved Computational Approaches and Heuristics for Zero Forcing

Zero forcing is a graph coloring process based on the following color change rule: all vertices of a graph [Formula: see text] are initially colored either blue or white; in each timestep, a white vertex turns blue if it is the only white neighbor of some blue vertex. A zero forcing set of [Formula: see text] is a set of blue vertices such that all vertices eventually become blue after iteratively applying the color change rule. The zero forcing number [Formula: see text] is the cardinality of a minimum zero forcing set. In this paper, we propose novel exact algorithms for computing [Formula: see text] based on formulating the zero forcing problem as a two-stage Boolean satisfiability problem. We also propose several heuristics for zero forcing based on iteratively adding blue vertices which color a large part of the remaining white vertices. These heuristics are used to speed up the exact algorithms and can also be of independent interest in approximating [Formula: see text]. Computational results on various types of graphs show that, in many cases, our algorithms offer a significant improvement on the state-of-the-art algorithms for zero forcing. Summary of Contribution: This paper proposes novel algorithms and heuristics for an NP-hard graph coloring problem that has numerous applications. Our exact methods combine Boolean satisfiability modeling with a constraint generation framework commonly used in operations research. The paper also includes an analysis of the facets of the polytope associated with this problem and decomposition techniques which can reduce the size of the problem. Our computational approaches are implemented and tested on a wide variety of graphs and are compared with the state-of-the-art algorithms from the literature. We show that our proposed algorithms based on Boolean satisfiability, in conjunction with the heuristics and order-reduction techniques, yield a significant speedup in some cases.
Life Cycle Assessment and Economic Energy Efficiency of a Solar Thermal Installation in a Family House

Designing solar strategies is a powerful step forward to set up an adequate residential house in terms of energy. Many types of research have simulated the energy needs for residential buildings. Designing an improper installation can contribute to a growth in the overall energy expenditure in ensuring thermal comfort. The use of solar thermal processes in Slovakia is on a rise as compared to recent years. This study models twelve solar water heating systems created on the roof of the household. Solar energy techniques are carried out to comply with the demands of heating and domestic hot water. The analysis deals with the most efficient alternative for the arranged solar systems of the building. Considering these installations and the corresponding overall prices of machinery, the best workable alternative is selected. The potential energy performance of auxiliary heating and the energy output of the solar thermal installation are examined. The required amounts of the different energy contributions are modelled and simulated in specific software for a family house in Kosice, Slovakia. We determine the limits of the design for an apartment and analyse which procedure is used to provide the typical average water expenditure and heating need, covering a multi-criteria analysis considering costs, energy, and life cycle analysis of every installation. This approach can support professionals to decide the best scheme considering these criteria, and this method can be satisfactorily applied. In these conditions, converting a conventional gas boiler into a solar thermal system involves monthly economic savings of around EUR 140–250, with payback periods of 2.5–7 years. The energy requirements are fully covered by the solar thermal schemes and the life cycle assessment resulted in reasonable impacts on the environment.
From CVs to X-ray Binaries

In the talk presented in GOLDEN2019, I wanted to show the similarities between binary systems containing white dwarf and those containing neutron stars or black holes. There are obvious differences due to e.g. the different strengths in the gravitational or magnetic ﬁeld but this result is clearly biassed to show the properties that are more similar.
Investigation of fault-tolerant capabilities of some recent multilevel inverter topologies

ABSTRACT In this paper, some recently proposed multilevel power converters are investigated for their fault-tolerant capabilities and improved reliability. These reported topologies are generally reduced device multilevel inverter (RD-MLIs) configurations that cannot tolerate switch failures due to absence of redundant states. Present work therefore aims to incorporate open-circuit fault-tolerant capability by adding few redundant states in switching sequences of existing topologies. The work in this paper objectively presents two existing topologies of five-level and seven-level Multi-Level Inverters (MLIs) modified for fault-tolerant (FT) capability against single switch open-circuit (OC) faults. The modification for fault-tolerant feature (FT-MLI) has intrinsic self-voltage balancing capability, low cost and control simplicity. The modified FT-MLI uses multi-carrier sinusoidal pulse-width modulation (SPWM) technique to generate control switching pulses as per desired switching sequences. Simulation and experimental results of these modified FT-MLI topologies under healthy, faulty and post-fault mode are presented and discussed. Experimental results verify the feasibility and effectiveness of these modified FT-MLI topologies which are suitable for safety-critical applications.
Electromagnetic Field Tests of a 1-MW Wireless Power Transfer System for Light Rail Transit

The high-power wireless power transfer (WPT) system in railways does not require physical contact to transfer electrical power, is electrically safe, and reduces maintenance costs from wear and tear. However, a high-power system generates a strong magnetic field that can result in problems of electromagnetic field (EMF) exposure and electromagnetic interference (EMI). In this study, EMF and EMI were measured at various positions under in-motion environment conditions for a 1-MW WPT light rail transit system. The measured maximum EMF was 2.41 μT, which is lower than the international guideline of 6.25 μT for the various locations with a potential presence of passengers. The measured EMI also satisfied international standards in the frequency range of 150 kHz–1 GHz.
Intersections and collaborative potentials between global citizenship education and education for sustainable development

ABSTRACT This article examines intersecting agendas and concerns in global citizenship education (GCE) and education for sustainable development (ESD) in the face of current global crises and pressures. While it cannot be assumed that the two educational projects automatically converge, generative and promising overlaps emerge from the shared interest in the SDG 4.7 education target. The article elaborates on a conversation emerging from the Bridge47 Knowledge Exchange Partnership focused on critical global citizenship education, and discusses the tensions, ambiguities, limitations and implications for critical, transgressive and potentially transformative GCE + ESD. While GCE and ESD can be ambivalent and constrained in formal educational settings, especially in comparison to informal projects where there are direct partnerships with people living on the margins of society, we argue that the potential generativity and transgressive possibilities of engaged and collaborative research have been under-emphasised. Participatory and praxis methodologies where education and research overlap offer significant transgressive and transformative potential. We point to important collaborative potentials in research practice that can help to bridge GCE-ESD gaps, given their substantial theoretical and practical experience in situated contexts, engagement with transgressive politics and creative and inclusive ethics of practice.
An online, comparative effectiveness trial of mental contrasting with implementation intentions (MCII) versus solution-focused coaching (SFC) questions

ABSTRACT Mental contrasting with implementation intentions (MCII) and solution-focused coaching (SFC) questions are self-coaching interventions that share similar theoretical constructs and stimulate constructive thinking in terms of idealised future outcomes and realistic appraisal of one’s current situation. However, no research has compared the efficacy of these two self-coaching methodologies. This experiment aimed to compare the effect of MCII and SFC questions on goal-directed outcomes. We conducted an online experiment where 113 undergraduates described an important personal problem, completed pre-intervention assessment, performed a brief computer-guided intervention of MCII or SFC questions, and then completed post-intervention assessment. We found that MCII and SFC questions increased perceived goal progression, self-efficacy, and positive affect, and decreased negative affect, to a similar extent. Levels of problem clarity and solution-focused thinking were comparable at post-intervention between MCII and SFC questions. We observed two main differences between the interventions: (a) self-insight was higher following MCII than SFC questions and (b) expectations of success increased from SFC questions but remained unchanged from MCII. Our results suggest that coaches seeking to integrate evidence-based self-coaching methodologies into their coaching practice have scope to recommend either MCII or SFC questions as take-home exercises to help their clients maximise goal attainment.
Semantic 3D Mapping from Deep Image Segmentation

The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents a novel algorithm to segment the object’s space from a deep segmentation of an image taken by a 3D camera. The proposed approach solves the boundary pixel problem that appears when a direct mapping from segmented pixels to their correspondence in the point cloud is used. We validate our approach by comparing baseline approaches using real images taken by a 3D camera, showing that our method outperforms their results in terms of accuracy and reliability. As an application of the proposed algorithm, we present a semantic mapping approach for a mobile robot’s indoor environments.
The Making of Muslim Millennial Moderate Identities through Sufistic Multicultural Da'wah

Multicultural Sufistic Da'wah is interesting to discuss, considering that multicultural and Sufistic preaching has long been a feature of Islamic preaching in Indonesia. However, in its development, the pattern of people's lives has undergone significant changes. One of them is the rapid growth of information and communication technology that has created a spiritually fragile millennial generation. The role of multicultural and Sufistic preaching is considered very important in guarding millennial Moslem's life. This article concludes that Sufistic da'wah's need is significant for the millennial generation to guide spirituality and modern religious identity through a qualitative approach with this type of literature study research. At the same time, growing diversity requires a complementary approach, namely the preaching of multiculturalism to guard the plurality of diversity in the millennial era. The two of them have a significant relationship to reach the Ulul Albab generation.