Miracle-dz/UniFAR-FTUs huggingface dataset:
Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment

Background Although physical activity can mitigate disease trajectories and improve and sustain mental health, many people have become less physically active during the COVID-19 pandemic. Personal information technology, such as activity trackers and chatbots, can technically converse with people and possibly enhance their autonomous motivation to engage in physical activity. The literature on behavior change techniques (BCTs) and self-determination theory (SDT) contains promising insights that can be leveraged in the design of these technologies; however, it remains unclear how this can be achieved. Objective This study aimed to evaluate the feasibility of a chatbot system that improves the user’s autonomous motivation for walking based on BCTs and SDT. First, we aimed to develop and evaluate various versions of a chatbot system based on promising BCTs. Second, we aimed to evaluate whether the use of the system improves the autonomous motivation for walking and the associated factors of need satisfaction. Third, we explored the support for the theoretical mechanism and effectiveness of various BCT implementations. Methods We developed a chatbot system using the mobile apps Telegram (Telegram Messenger Inc) and Google Fit (Google LLC). We implemented 12 versions of this system, which differed in 3 BCTs: goal setting, experimenting, and action planning. We then conducted a feasibility study with 102 participants who used this system over the course of 3 weeks, by conversing with a chatbot and completing questionnaires, capturing their perceived app support, need satisfaction, physical activity levels, and motivation. Results The use of the chatbot systems was satisfactory, and on average, its users reported increases in autonomous motivation for walking. The dropout rate was low. Although approximately half of the participants indicated that they would have preferred to interact with a human instead of the chatbot, 46.1% (47/102) of the participants stated that the chatbot helped them become more active, and 42.2% (43/102) of the participants decided to continue using the chatbot for an additional week. Furthermore, the majority thought that a more advanced chatbot could be very helpful. The motivation was associated with the satisfaction of the needs of competence and autonomy, and need satisfaction, in turn, was associated with the perceived system support, providing support for SDT underpinnings. However, no substantial differences were found across different BCT implementations. Conclusions The results provide evidence that chatbot systems are a feasible means to increase autonomous motivation for physical activity. We found support for SDT as a basis for the design, laying a foundation for larger studies to confirm the effectiveness of the selected BCTs within chatbot systems, explore a wider range of BCTs, and help the development of guidelines for the design of interactive technology that helps users achieve long-term health benefits.
Pulse compression approach to digitized frequency modulated infrared imaging for non-destructive testing of carbon fibre reinforced polymers

InfraRed Thermal Wave Imaging (IRTWI) is one of the promising non-contact and full field inspection technique for non-destructive characterization. This technique relies on the mapping of surface temperature distribution to visualize the presence of surface and subsurface anomalies in the test material. Due to its fast and quantitative evaluation capabilities, IRTWI has gained significant importance in the characterization of Carbon Fiber Reinforced Polymers (CFRP). A CFRP specimen having flat bottom holes is considered for inspection using non-stationary Digitized Frequency Modulated Thermal Wave Imaging (DFMTWI) technique. Further depth scanning performance by using frequency domain based phase approach has been compared with recently proposed time domain phase approach.
New bright Seyfert galaxies

As part of an ongoing program of measuring galaxy redshifts at Mount Hopkins observatory, we have discovered several previously unknown bright Seyfert galaxies. Most of the objects are of Seyfert type 2, but several are type 1 objects where the broad permitted line region is easily visible only for the H.cap alpha. line. The existence of such bright active galactic nuclei that have been overlooked in previous color or prism searches can have a large effect on the calculated number density of AGN.
Universal and Non-Iterative Design Method for In-Phase Radiation of Microstrip Traveling-Wave Series-Fed Antenna Arrays

Microstrip traveling-wave series-fed antenna arrays (MTSAAs) have been popularly developed for radar systems in the millimeter-waveband. Because the antennas are connected and fed in series in MTSAA, in-phase radiation of the antenna elements with properly tapered amplitude for achieving a broadside beam with a low sidelobe level (SLL) is challenging. Although the reported series-fed patch and comb-line arrays accomplished the goal, design equations for the optimum distances between antenna elements in the series-fed array do not guarantee in-phase radiation due to the mutual coupling in array structures. Therefore, optimization of the distances in the array using full-wave simulations is inevitable. In this article, we propose the first universal and non-iterative design equation that compensates for the phase offset generated in patch and comb-line MTSAAs and successfully found optimum distances for broadside beams with low SLLs without optimization. Finally, we fabricated both MTSAAs with ten elements operating at 76.5 GHz and demonstrated almost 13 dB boresight gain and low SLLs near −18 dB without a beam tilt.
A Novel Bipartite Consensus Tracking Control for Multiagent Systems Under Sensor Deception Attacks

This article presents a novel adaptive bipartite consensus tracking strategy for multiagent systems (MASs) under sensor deception attacks. The fundamental design philosophy is to develop a hierarchical algorithm based on shortest route technology that recasts the bipartite consensus tracking problem for MASs into the tracking problem for a single agent and eliminates the need for any global information of the Laplacian matrix. As the sensors suffer from malicious deception attacks, the states cannot be measured accurately, we thus construct a novel dynamic estimator to estimate the actual states, which, together with a new coordinate transformation involving the attacked and estimated state variables, allows a distributed security control scheme to be developed, in which the singularity of the adaptive iterative process involved in existing works is completely avoided. Furthermore, the Nussbaum functions are included in the controller to account for the influence of the unknown control gains caused by sensor deception attacks. It is shown that the distributed consensus tracking errors converge to a small neighborhood of the origin, and all the signals in the closed-loop system remain bounded. Simulation on a forced damped pendulums (FDPs) is conducted to demonstrate and verify the effectiveness of the proposed strategy.
Monitoring infus dan pulse heart rate berbasis IoT

Infus merupakan cairan intravena yang berfungsi mengganti cairan tubuh yang hilang pada pasien. Sehingga, infus harus selalu tersedia agar dapat membantu mempercepat kesembuhan pasien. agar tidak ada keterlambatan dalam penggantian infus maka petugas harus selalu mengontrol secara berkala tentang keadaan infus pasien. saat ini di beberapa rumah sakit masih menggunakan cara manual dalam melakukan pengontrolan infus, dimana petugas harus datang ke ruang pasien untuk memeriksa keadaan infus pasien. dengan alasan itulah saya membuat alat monitoring infus berbasis IoT yang bisa membantu petugas di rumah sakit dalam memantau volume infus dari jarak jauh, dan juga ketika infus tersisa 5% dan 0% secara otomatis akan ada notifikasi yang di kirimkan ke petugas. Dan alat ini juga bisa memantau kondisi detak jantung pasien dari jarak jauh dengan syarat Pulse Sensor harus di tempelkan ke jari pasien. pada tugas akhir ini saya menggunakan NodeMCU V3 sebagai pusat kontrol. Sedangkan input saya menggunakan sensor Load Cell dan Pulse Sensor. Dengan output saya menggunakan telegram. Dengan adanya alat ini saya berharap alat ini dapat dapat di pasarkan dan dapat membantu petugas di rumah sakit dalam memantau kondisi infus dari jarak jauh. Agar tidak terjadi keterlambatan dalam penggantian infus dan rumah sakit dapat memberikan pelayanan yang terbaik kepada pasien.
LTP Modeling and Analysis of Frequency Coupling in PLL-Synchronized Converters for Harmonic Power Flow Studies

As known, nonlinear loads in power systems originate harmonic distortion and power quality issues. Converter-interfaced loads exhibit a nonlinear behaviour as well and may largely contribute to increase the harmonic pollution. The nonlinearities introduced by the PLL-synchronization and power control originate, indeed, a coupling mechanism between fundamental and harmonic frequencies. These harmonic coupling effects are not captured by traditional Norton/Thevenin equivalent converter models, leading to inaccurate harmonic power flow analyses. This paper proposes a Linear Time Periodic model of a PLL-synchronized converter to be used in Harmonic Power Flow analyses. A realistic 18-bus distribution grid hosting substantial amount of power-electronic interfaced resources is used as a case study. It is revealed that, in high grid loadability condition and with distorted grid supply voltage, the harmonics are significantly amplified by the converters and the fundamental components of the buses voltages are reduced, representing a risk for the voltage stability. This phenomenon is also influenced by the tuning of the current control loop and the PLL. The accuracy of the presented analyses is validated by comparing the harmonic power flow results with time-domain simulations.
Aerodynamic Force and Aeroelastic Response Characteristics Analyses for the Galloping of Ice-Covered Four-Split Transmission Lines in Oblique Flows

In order to study the galloping mechanism of ice-covered four-split transmission lines in oblique flows, the aerodynamic forces and aero-elastic response characteristics of the crescent-shaped four-split ice-covered transmission lines are investigated through wind tunnel tests on rigid and aero-elastic models. According to Den Hartog and Nigel’s galloping theories, the damping coefficients are calculated based on the experimental data. The results show that the crescent-shaped ice-covered four-split transmission lines usually suffer from torsional galloping. Furthermore, based on the aero-elastic wind tunnel data, the galloping is characterized by an elliptical trajectory, negative damping ratio, and a negative strain at hanging position. In addition, the galloping appears to be more prone to occur under oblique flows, with a larger galloping amplitude and a lower critical wind speed. This might be because an out-of-plane vibration of the third-order mode is excited at a lower wind speed, leading to a coupled resonance between in-plane and out-of-plane vibrations at the third-order mode with a frequency ratio of 1:1. The experimental results in this paper can also be used to verify the fluid-structure interaction simulation method of ice-covered transmission lines.
Anterior-First Approach for Latissimus Dorsi Myocutaneous Flap Breast Reconstruction: A Refined Elevation Method with Detailed Video Instructions

Background: The latissimus dorsi myocutaneous (LDMC) flap is a preferred flap in breast reconstruction for its wide surface area and volume. Since the flap is situated in the midback area, a lateral decubitus approach is a conventional method. However, proper visualization and access to the thoracodorsal vascular pedicle or muscle insertion is difficult from the lateral approach, causing inefficiency and surgeon fatigue. We propose the ‘anterior-first’ approach in LDMC flap reconstruction, where the landmark structures are first approached from the supine-anterior position through the mastectomy incision. Methods: From January 2014 to December 2020, 48 patients who received immediate breast reconstruction with LDMC flap were included in the study. Patients received reconstruction with the conventional approach (n = 20), or anterior-first approach (n = 28). Demographic factors and the operative outcomes were retrospectively analyzed and compared between the two groups. Results: Compared to the conventional approach group, the anterior-first approach group showed improved efficiency in the duration of total reconstruction (228 versus 330 min, p < 0.001), and flap elevation (139 versus 200 min, p < 0.001). No difference in complication rate and time to drain removal was observed (p = 0.14 and >0.9, respectively). Conclusion: The anterior-first approach for breast reconstruction with LDMC flap provides surgeons with an enhanced surgical exposure and superior ergonomics, leading to a safer and more efficient flap elevation.
Defective Interfering Particles of Influenza Virus and Their Characteristics, Impacts, and Use in Vaccines and Antiviral Strategies: A Systematic Review

Defective interfering particles (DIPs) are particles containing defective viral genomes (DVGs) generated during viral replication. DIPs have been found in various RNA viruses, especially in influenza viruses. Evidence indicates that DIPs interfere with the replication and encapsulation of wild-type viruses, namely standard viruses (STVs) that contain full-length viral genomes. DIPs may also activate the innate immune response by stimulating interferon synthesis. In this review, the underlying generation mechanisms and characteristics of influenza virus DIPs are summarized. We also discuss the potential impact of DIPs on the immunogenicity of live attenuated influenza vaccines (LAIVs) and development of influenza vaccines based on NS1 gene-defective DIPs. Finally, we review the antiviral strategies based on influenza virus DIPs that have been used against both influenza virus and SARS-CoV-2. This review provides systematic insights into the theory and application of influenza virus DIPs.
A Unifying Probabilistic Framework for Partially Labeled Data Learning

Partially labeled data learning (PLDL), including partial label learning (PLL) and partial multi-label learning (PML), has been widely used in nowadays data science. Researchers attempt to construct different specific models to deal with the different classification tasks for PLL and PML scenarios respectively. The main challenge in training classifiers for PLL and PML is how to deal with ambiguities caused by the noisy false-positive labels in the candidate label set. The state-of-the-art strategy for both scenarios is to perform disambiguation by identifying the ground-truth label(s) directly from the candidate label set, which can be summarized into two categories: ‘the identifying method’ and ‘the embedding method’. However, both kinds of methods are constructed by hand-designed heuristic modeling under considerations like feature/label correlations with no theoretical interpretation. Instead of adopting heuristic or specific modeling, we propose a novel unifying framework called A Unifying Probabilistic Framework for Partially Labeled Data Learning (UPF-PLDL), which is derived from a clear probabilistic formulation, and brings existing research on PLL and PML under one theoretical interpretation with respect to information theory. Furthermore, the proposed UPF-PLDL also unifies ‘the identifying method’ and ‘the embedding method’ into one integrated framework, which naturally incorporates the feature and label correlation considerations. Comprehensive experiments on synthetic and real-world datasets for both PLL and PML scenarios clearly demonstrate the superiorities of the derived framework.
Eleven-Year Trend of Drug and Chemical Substance Overdose at a Local Emergency Hospital in Japan

Purpose: The purpose of this study was to investigate long-term trends of overdose in the emergency department of a regional core hospital in Sendai, Miyagi Prefecture, Japan, and to identify patient characteristics as well as drugs and chemicals associated with overdose. Methods: Patients who visited the emergency department from January 1, 2010, to December 31, 2020, and were diagnosed with a drug or chemical overdose were included in the study. We conducted a descriptive analysis based on the data collected. Results: In total, 577 patients (mean 38.4 years old, female 75.0%) were considered, and 16.8% had a history of repeated overdose. The number of patients during the study period showed a downward trend, with slight increases in 2012 and 2020. In addition, the top four drugs suspected of causing overdose were over the counter (OTC) antipyretic analgesics and cold medicines (N=97), followed by flunitrazepam (N=80), etizolam (N=72), and brotizolam (N=70). Conclusion: There was a decreasing trend in overdose, and OTC medicines, sedatives, and anxiolytics were the primary medications causing overdose. OTC antipyretic analgesics and cold medicines were the most common suspected overdose drugs, with an increasing trend in the later years.
Study of Substructures in SDSS Supercluster S[173+014+0082]

We present magnitude, color, redshift and number density distributions of 1302 galaxies in the supercluster S[173+014+0082]. Our aim is to identify substructures and study their redshift maps. The visual magnitude distribution suggests that the supercluster is dynamically unstable. We found 3 substructures in the supercluster region having mean redshift 0.083, 0.085 and 0.090. An empirical relation be-tween the number of galaxies in the substructures and their mean redshift is observed.
Device operation of P‐ion‐implanted n‐BaSi2/p‐Si heterojunction solar cells

We formed phosphorous(P)‐ion‐implanted n‐BaSi2 films on p‐Si(111) substrates and demonstrated solar‐cell functionality of the n‐BaSi2/p‐Si heterojunction under AM1.5 illumination. The BaSi2 films were grown by molecular beam epitaxy, followed by implantation of P ions to the BaSi2 films using PF3 gas at an energy of 10 keV and a dose of 1 × 1014 cm−2. Subsequent postannealing was conducted at 500°C in Ar for different durations (t = 30–480 s) to activate the P atoms. The diffusion coefficient for P atoms in BaSi2 was evaluated from the depth profiles of P atoms by secondary‐ion mass spectrometry. The activation energies of lattice and grain boundary diffusion were found to be 1.1 ± 0.6 and 2.5 ± 0.6 eV, respectively. From the analysis of Raman and photoluminescence spectra, the ion implantation damage was recovered by the postannealing. For one treated sample with t = 120 s, the internal quantum efficiency reached 67% at a wavelength of 870 nm. This is the highest ever achieved for n‐BaSi2/p‐Si heterojunction solar cells. Ion implantation is thus applicable to BaSi2 films grown by any other method. This achievement thereby opens a new route for the formation of BaSi2 solar cells.
Qualitative weather radar mosaic in a multisensor rainfall monitoring approach

Abstract. A method is presented for integrating the information available in a limited area (corresponding to Tuscany in Italy) coming from satellite sensors, point measurement stations and ground-based radars. The objective is the exploitation of the complementary information provided by the variety of methods and instruments nowadays existing for measuring precipitation or precipitation-related parameters, in order to upgrade the capability of reconstructing weather phenomena of main interest. Ground- and satellite-based measurements, working locally or remotely, are jointly analyzed to evaluate how heterogeneous data can amplify the effectiveness of the measurements, when synergically analyzed, and this holds also when some of the available instruments essentially give just qualitative information. A way to synthesize the different information provided by various instruments is presented, assessing the quality of all the available observations. Namely, steps are described for the achievement of a mosaic of qualitative weather radars, and it is shown how the joint analysis of satellite, rain gauge and lightning observations can support a correct interpretation of precipitation phenomena. Finally, a logical scheme for data integration is presented and discussed.
Incidence and prognosis of late readmission after percutaneous coronary intervention

Background Early readmission (< 30 days) after percutaneous coronary intervention (PCI) is associated with a worse prognosis, but little is known regarding the causes and consequences of late readmission. The aim of the present study was to determine the incidence, causes, and prognosis of patients readmitted > 1 < 12-months after PCI (late readmission). Methods Single-center retrospective cohort study of 743 consecutive post-PCI patients. Patient characteristics and follow-up data were collected by reviewing their electronic medical records and from standardized telephone interviews performed at 1 year and at the end of follow-up. Results Of the 743 patients, 224 (30.14%) were readmitted 1–12 months after PCI, 109 due to chest pain (48.66%), and 115 for other reasons (51.34%). Hospital readmission was associated with lower survival rates of 77.6% vs. 98.3% at 24 months and 73.5% vs. 97.6% at 36 months (p < 0.001). Univariate predictors for late readmission were hypertension, older age, chronic kidney disease, lower left ventricular ejection fraction, and lower baseline hemoglobin concentration. Only baseline hemoglobin concentration was an independent predictor of late readmission (odds ratio: 0.867, 95% confidence interval: 0.778–0.966, p = 0.01). Readmission for chest pain portrayed a lower mortality rate compared to other causes, with survival rates of 90.2% vs. 50% at 36 months (p < 0.001). Conclusions Late hospital readmission after PCI is associated with a worse prognosis and is related to patient comorbidities. Readmission for chest pain is common and portrayed a more favorable prognosis, similar to patients not readmitted. A readily available parameter, baseline anemia, was the main predictor of late readmission.
Numerical simulation of thermo‐solutal‐capillary migration of a dissolving drop in a cavity

In the present paper the thermo‐solutal‐capillary migration of a dissolving liquid drop, composed by a binary mixture having a miscibility gap, injected in a closed cavity with differentially heated end walls, is studied. The main goal of the analysis is to clarify if and how the drop migration is affected by the dissolution process. The numerical code is based on a finite volume formulation. A level‐set technique is used for describing the dynamics of the interface separating the different phases. A thermodynamic constraint fixes the concentration jump between the interface sides. This jump, together with that of the concentration normal derivatives, in turn defines the entity of the dissolution cross‐flow through the interface and the interface velocity relative to the fluid. Since the jump singularity of normal derivatives cannot be easily mollified, while retaining the necessary accuracy, a scheme for the species equation is elaborated that allows sharp jumps and has subcell resolution. Steady migration speeds are determined after the start‐up phase for different radii and temperature differences. The results will be used for the preparation of a sounding rocket space experiment. Copyright © 2003 John Wiley & Sons, Ltd.