Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time wheel–rail friction coefficient estimation and its application

The friction coefficient at the wheel–rail interface is crucial for the traction, braking and guidance of the railway vehicle. Real-time knowledge of the friction coefficient could reduce wheel–rail damages as well as improve the vehicle running performance. The friction coefficient is very difficult to be directly measured; hence an indirect measurement method using an unscented Kalman filter was proposed in this paper. A re-adhesion controller was also developed. The method was assessed in a Simpack-Simulink co-simulation environment. The friction coefficient estimation method was found to be accurate, and the re-adhesion controller improved the vehicle braking performance as well as reduced the wheel–rail damage.
Decision making with imprecise probabilities: Dempster‐Shafer Theory and application

The information and data used to support decision making under uncertainty in water resources situations can often be characterized as being very limited or weak. The representation of knowledge in conventional Bayesian decision analysis is in the form of precisely specified distributions and is the same no matter how weak the information source for this knowledge. A Bayesian analysis therefore may inadvertently impart too much precision to the input information and to the results. The concept of imprecise probability addresses this problem of excessive precision and a number of methods incorporating this concept have emerged. One such method, developed by Dempster and Shafer, accommodates greater imprecision by allowing the specification of probabilities on intervals. Theoretical aspects of the Dempster-Shafer methodology and its application to inference and decision analysis are described. A water resources example of an application of the Dempster-Shafer approach is presented, and the results contrasted with those obtained from the closest equivalent Bayesian scheme.
Predicting Online Shopping Intention: the Theory of Planned Behavior and Live E-Commerce

With the development of new media technology, some new changes have been brought to traditional shopping. In this environment, live streaming e-commerce has been loved by online consumers. We adopted the theory of planned behavior (TPB), perceived interactivity and perceived utilitarian value as the theoretical basis for research. In the part of data collection, we surveyed 600 Chinese online consumers, the results showed that attitude, subjective norms, perceived behavior control, perceived interactivity and perceived utilitarian value significantly affected consumer behavior intention. The article also discussed the practice and theoretical contributions for live streaming e-commerce.
Current concepts for cryogenic optical testing of the JWST secondary mirror

The James Webb Space Telescope (JWST) Secondary Mirror (SM) is a 738 mm edge-diameter convex hyperbola that will be operating at 30K. Due to JWST’s science and technical requirements, the requirements on the SM are relatively tight. Therefore highly accurate, rigorous cryogenic testing of the surface figure as well as the prescription is required. The optical testing of a convex mirror of this size has not been performed before at cryogenic temperatures. This paper discusses the testing approaches and configurations that are under consideration at Ball Aerospace & Technologies Corp. (BATC) for testing the JWST SM at cryogenic temperatures.
Field-Controlled Microrobots Fabricated by Photopolymerization

Field-controlled microrobots have attracted extensive research in the biological and medical fields due to the prominent characteristics including high flexibility, small size, strong controllability, remote manipulation, and minimal damage to living organisms. However, the fabrication of these field-controlled microrobots with complex and high-precision 2- or 3-dimensional structures remains challenging. The photopolymerization technology is often chosen to fabricate field-controlled microrobots due to its fast-printing velocity, high accuracy, and high surface quality. This review categorizes the photopolymerization technologies utilized in the fabrication of field-controlled microrobots into stereolithography, digital light processing, and 2-photon polymerization. Furthermore, the photopolymerized microrobots actuated by different field forces and their functions are introduced. Finally, we conclude the future development and potential applications of photopolymerization for the fabrication of field-controlled microrobots.
Pemanfaatan Animasi Digital sebagai Media Edukasi Gizi Seimbang sebagai Upaya Peningkatan Pengetahuan Gizi Anak Usia Dini di TK Islam Qolbus Salim

Usia prasekolah merupakan periode vital dalam perkembangan perilaku seseorang. Kebiasaan dan preferensi makan anak akan terbentuk pada usia prasekolah. Kebiasaan makan pada anak juga dapat dipengaruhi oleh pengetahuan gizi yang mereka miliki. TK Islam Qolbus Salim merupakan salah satu sekolah yang menyelenggarakan pendidikan formal untuk anak-anak usia 3-6 tahun. TK Islam Qolbus Salim selama ini memiliki program Pemberian Makanan Tambahan (PMT) yang dilaksanakan sebulan sekali. Banyak permasalahan dialami selama program ini berjalan, salah satunya anak-anak yang cenderung picky eater pada saat PMT. Kebiasaan makan pada anak, salah satunya picky eater ini dapat dipengaruhi oleh pengetahuan gizi yang mereka miliki. Oleh karena itu, salah satu solusi yang dilakukan untuk mengatasi permasalah tersebut adalah berupa edukasi gizi pada anak dengan media animasi digital untuk meningkatkan pengetahuan gizi anak. Total peserta yang bergabung dalam kegiatan edukasi gizi berjumlah 20 anak. Edukasi gizi dengan media animasi digital yang dilakukan mampu meningkatkan skor rata-rata pengetahuan gizi anak sebesar 13.2%. Berdasarkan hasil uji statistik Wilcoxon, diketahui bahwa terdapat perbedaan yang signifikan pada skor pengetahuan gizi sebelum dan sesudah edukasi gizi (p<0.05). Edukasi gizi yang telah diberikan ini diharapkan tidak hanya sekedar meningkatkan pengetahuan gizi anak, namun juga dapat mengubah perilaku makan anak yang sebelumnya memiliki kebiasaan picky eater menjadi lebih baik dengan adanya dukungan dari berbagai pihak.Kata Kunci: Animasi Digital, Pendidikan Gizi, Pra-Sekolah
Comparison of GPU and FPGA Hardware Acceleration of Lane Detection Algorithm

The two fundamental components of a complete computer vision system are detection and classification. The Lane detection algorithm, which is used in autonomous driving and smart vehicle systems, is within the computer vision detection area. In a sophisticated road environment, lane marking is the responsibility of the lane detection system. The warning system for a car that leaves its lane also heavily relies on lane detection. The two primary stages of the implemented lane detection algorithm are edge detection and line detection. In order to assess the trade-offs for latency, power consumption, and utilisation, we will compare the state-of-the-art implementation performance attained with both FPGA and GPU in this work. Our analysis highlights the benefits and drawbacks of the two systems.
Shortwave Shape Factor Inversion of Earth Radiation Budget Observations

Abstract The shape factor technique is routinely used to invert wide-angle radiometric measurements at satellite altitude to flux at the top of the atmosphere. The derivation of a shortwave shape factor requires assumptions on both the viewed radiation field and the angular distribution of the radiance. This paper describes the effect on the shape factor of assuming a constant flux field, a constant albedo field, and a variable albedo field. In addition, three assumptions on the angular distributions are investigated: Lambertian, an analytic model, and the Earth Radiation Budget Experiment (ERBE) bidirectional models. The accuracies and resolutions of the shape factor flux estimates arising from these assumptions are determined by simulating the shape factor inversion technique with ERBE scanner data. First, the scanner data are summed at satellite altitude to simulate the wide-angle radiometric measurements. Radiant flux at the top of the atmosphere is then estimated from these simulated wide-angle measu.
Thermal expansion behavior of holes in graphene nanomeshes

Newton C. B. Mosterio1 and Alexandre F. Fonseca2,* 1Programa de Pos-graduacao em Engenharia Metalurgica – Escola de Engenharia Industrial e Metalurgica de Volta Redonda (EEIMVR) – UFF, Av. dos Trabalhadores, 420, Volta Redonda, RJ, 27255-125, Brazil 2Applied Physics Department, State University of Campinas, Campinas-SP, Sao Paulo, Brazil (Received 10 February 2014; revised manuscript received 27 March 2014; published 23 May 2014)
Stress and Mood Associations With Smartphone Use in University Students: A 12-Week Longitudinal Study

The current study used device-logged screen-time records to measure week-to-week within-person associations between stress and smartphone use in undergraduate students (N = 187; mean age = 20.1 years). The study was conducted during fall 2020 and focused on differences across types of app used and whether accumulated screen use each week predicted end-of-week mood states. Participants uploaded weekly screenshots from their iPhone “Screen Time” settings display and completed surveys measuring stress, mood, and COVID-19 experiences. Results of multilevel models showed no week-to-week change in smartphone hours of use or device pickups. Higher stress levels were not concurrently associated with heavier smartphone use, either overall or by type of app. Heavier smartphone use in a given week did not predict end-of-week mood states, but students who tended to spend more time on their phones in general reported slightly worse moods—a between-persons effect potentially reflecting deficits in well-being that are present in students’ off-line lives as well. Our findings contribute to a growing scholarly consensus that time spent on smartphones tells us little about young people’s well-being.
Multistability and Phase Synchronization of Rulkov Neurons Coupled with a Locally Active Discrete Memristor

In order to enrich the dynamic behaviors of discrete neuron models and more effectively mimic biological neural networks, this paper proposes a bistable locally active discrete memristor (LADM) model to mimic synapses. We explored the dynamic behaviors of neural networks by introducing the LADM into two identical Rulkov neurons. Based on numerical simulation, the neural network manifested multistability and new firing behaviors under different system parameters and initial values. In addition, the phase synchronization between the neurons was explored. Additionally, it is worth mentioning that the Rulkov neurons showed synchronization transition behavior; that is, anti-phase synchronization changed to in-phase synchronization with the change in the coupling strength. In particular, the anti-phase synchronization of different firing patterns in the neural network was investigated. This can characterize the different firing behaviors of coupled homogeneous neurons in the different functional areas of the brain, which is helpful to understand the formation of functional areas. This paper has a potential research value and lays the foundation for biological neuron experiments and neuron-based engineering applications.
Helios: The new harwell electron linear accelerator, and its scientific programme

Abstract HELIOS, the new 136 MeV electron linear accelerator (LINAC) opened in July 1979, will enable the area of nuclear physics that is of main relevance to the development of nuclear power to be studied at new levels of understanding. This article traces the history and describes the purpose of the accelerator.
Friction Factor In Sine-Pipe Flow

Measurements of pressure losses in a sine-waved hydraulically smooth pipe, having a centerline described by the formula y = h sin (2 πx/λ), are presented. The effect of the dimensionless wave-length (λ/d) and amplitude (h/d) on the Darcy friction factor was investigated in the range of the Reynolds number from about 100 to 10 000, and in the ranges of wavelength from λ/d = 17.7 to 150 and amplitude from h/d = 1.5 to 32. The Dean number, based on the minimum radius of the sine-waved centerline curvature, below which the influence of the sine-pipe shape in comparison to the straight tube was not seen is De ≤ ∼ 20. A smooth transition from laminar to turbulent region in the friction factor versus Reynolds number plot was observed. In turbulent region the effect of the sine-pipe shape can be neglected for λ/d ≥ 1.36 *h/ d + 36.2.
Enhanced reflection tolerance of upstream signal in a RSOA-based WDM PON by using Manchester coding

We have experimentally investigated the reflection tolerance of upstream signals by comparing Manchester-encoded downstream signals with NRZ ones in a RSOA-based fiber loop back system for a WDM PON. The results showed that the reflection tolerance of the upstream signals strongly dependeds on the downstream signal modulation formats, and that the Manchester format was more tolerant than the NRZ one against the reflection of the upstream signal.
Analysis of Deep Learning-Based Decision-Making in an Emotional Spontaneous Speech Task

In this work, we present an approach to understand the computational methods and decision-making involved in the identification of emotions in spontaneous speech. The selected task consists of Spanish TV debates, which entail a high level of complexity as well as additional subjectivity in the human perception-based annotation procedure. A simple convolutional neural model is proposed, and its behaviour is analysed to explain its decision-making. The proposed model slightly outperforms commonly used CNN architectures such as VGG16, while being much lighter. Internal layer-by-layer transformations of the input spectrogram are visualised and analysed. Finally, a class model visualisation is proposed as a simple interpretation approach whose usefulness is assessed in the work.
2D Metal-Organic Frameworks: Properties, Synthesis, and Applications in Electrochemical and Optical Biosensors

Two-dimensional (2D) nanomaterials like graphene, layered double hydroxides, etc., have received increasing attention owing to their unique properties imparted by their 2D structure. The newest member in this family is based on metal-organic frameworks (MOFs), which have been long known for their exceptional physicochemical properties—high surface area, tunable pore size, catalytic properties, etc., to list a few. 2D MOFs are promising materials for various applications as they combine the exciting properties of 2D materials and MOFs. Recently, they have been extensively used in biosensors by virtue of their enormous surface area and abundant, accessible active sites. In this review, we provide a synopsis of the recent progress in the field of 2D MOFs for sensor applications. Initially, the properties and synthesis techniques of 2D MOFs are briefly outlined with examples. Further, electrochemical and optical biosensors based on 2D MOFs are summarized, and the associated challenges are outlined.
The Rayleigh–Taylor and Kelvin–Helmholtz stability of a viscous liquid–vapor interface with heat and mass transfer

Linear stability analysis of a liquid–vapor interface under adverse gravitational field and velocity streaming is considered. The liquid is assumed viscous, incompressible, and motionless over a vapor layer with a uniform horizontal velocity. It is shown that while the coupled viscosity‐phase change mechanism of former studies adds considerably to the stability of the Rayleigh–Taylor problem, it has a deleterious effect on the Kelvin–Helmholtz mode of stability.
Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review

Background: mHealth applications provide health practitioners with platforms that enable disease management, facilitate drug adherence, facilitate drug adherence, speed up diagnosis, monitor outbreaks, take and transfer medical images, and provide advice. Many developing economies are investing more in mobile telecommunication infrastructure than in road transport and electric power generation. Despite this, mHealth has not seen widespread adoption by healthcare workers in the developing world. This study reports a scoping review of factors that impact the adoption of mHealth by healthcare workers in the developing world, and based on these findings, a framework is developed for enhancing mHealth adoption by healthcare workers in the developing world. Methods: A structured literature search was performed using PubMed and Scopus, supplemented by hand searching. The searches were restricted to articles in English during the period January 2009 to December 2019 and relevant to the developing world that addressed: mobile phone use by healthcare workers and identified factors impacting the adoption of mHealth implementations. All authors reviewed selected papers, with final inclusion by consensus. Data abstraction was performed by all authors. The results were used to develop the conceptual framework using inductive iterative content analysis. Results and Discussion: Of 919 articles, 181 met the inclusion criteria and, following a review of full papers, 85 reported factors that impact (promote or impede) healthcare worker adoption of mHealth applications. These factors were categorised into 18 themes and, after continued iterative review and discussion were reduced to 7 primary categories (engagement/funding, infrastructure, training/technical support, healthcare workers’ mobile—cost/ownership, system utility, motivation/staffing, patients’ mobile—cost/ownership), with 17 sub-categories. These were used to design the proposed framework. Conclusions: Successful adoption of mHealth by healthcare workers in the developing world will depend on addressing the factors identified in the proposed framework. They must be assessed in each specific setting prior to mHealth implementation. Application of the proposed framework will help shape future policy and practice of mHealth implementation in the developing world and increase adoption by health workers.
Role of Marketing Strategies to Generation Z in Emerging Markets

The aim of this research is to examine the marketing strategies to Generation Z, social media cognitive engagement, social media influencer, perceived corporate social responsibility and user-generated media communication and hedonic brand image as moderator on generation Gen Z purchase intention, and examining these effects in Covid’19 pandemic recession phase in Pakistan. Research was completed on Generation Z respondents, using an online survey questionnaire were evaluated using through factor analysis, model fit, SEM via Smart PLS 4. Empirical results via structural equation modeling demonstrate that the impact of the four constructs played a partially significant role on Gen Z purchase intention. Gen Z has strong bonding with social media engagement and aware of CSR activities of an organization and confirmed their behavior toward e-shopping. Brand equity and Citizen Behavior are could be examined as a dependent variable but we didn’t due to lack of literature. Social media cognitive engagement and perceived corporate social responsibility has strong relation with generation Z purchase intention which indicates generation Z is engage with social media and CSR activities. Online business operators and trend setter can identify and promote their business on social media sites. Through this study marketers and professionals can also formulate strategies to increase promote their business. The empirical results provide academic contributions to the current group of knowledge in the marketing to capture Gen Z. Using advanced quantitative data analysis will eventually enable future researchers to explain the contribution of the current study to understanding the importance of Generation Z psychology.
Gaplike behavior of the c -axis dynamic conductivity in pure and Ti-doped Sr 2 RuO 4

We report on infrared spectroscopy of the interplane reflectivity of pure and Ti-doped ${\mathrm{Sr}}_{2}{\mathrm{RuO}}_{4}$ single crystals. The electronic part of the dynamic conductivity can be well described by a two component model, which consists of a coherent part, using the standard Drude model, and a mid-infrared peak. The scattering rate in ${\mathrm{Sr}}_{2}{\mathrm{RuO}}_{4}$ exhibits a gaplike behavior with a gap energy of 6.3 meV. On Ti doping we observe a reduction of the gap, which is fully closed for $x=0.05. $ We discuss the origin of the gap and the suppression by Ti doping on the basis of magnetic origin as well as of a dimensional crossover in the charge transport.
The structure and topological meaning of almost-torsion free groups

n this paper we present a new algebraic characterization of (almost-)crys-tallographic groups. In fact we prove that a virtually abelian (resp. nilpotent) group E is crystallographic (resp. almost-crystallographic) if and only if E has no finite normal subgroups. Thereafter, we investigate more general groups sharing this property and refer to them as the almost-torsion free groups. We show that a virtually polycyclic group Y is almost-torsion free if and only if T is (almost-crystallographic)-by-crystallographic. Thereafter, we take a closer look at the topological properties of almost-torsion free groups.
Gravitational waves and neutrino oscillations in Chern-Simons axion gravity

We investigate the modifications in the neutrino flavor oscillations under the influence of a stochastic gravitational wave background (SGWB), in a scenario in which General Relativity is modified by an additional Chern-Simons (CS) term. Assuming that the dark matter halo is in the form of axions, the CS coupling modifies the pattern of the neutrino flavor oscillations at Earth up to a total suppression in some frequency range. At the same time, the SGWB in the halo could stimulate the axion decay into gravitons over a narrow frequency range, leading to a potentially detectable resonance peak in the enhanced SGWB strain. A consistent picture would require these features to potentially show up in neutrino detection from supernovae, gravitational wave detectors, and experiments aimed at the search for axions in the Milky Way halo.