Miracle-dz/UniFAR-FTUs huggingface dataset:
A dynamic learning-based ECG feature extraction method for myocardial infarction detection

Objective. Myocardial infarction (MI) is one of the leading causes of human mortality in all cardiovascular diseases globally. Currently, the 12-lead electrocardiogram (ECG) is widely used as a first-line diagnostic tool for MI. However, visual inspection of pathological ECG variations induced by MI remains a great challenge for cardiologists, since pathological changes are usually complex and slight. Approach. To have an accuracy of the MI detection, the prominent features extracted from in-depth mining of ECG signals need to be explored. In this study, a dynamic learning algorithm is applied to discover prominent features for identifying MI patients via mining the hidden inherent dynamics in ECG signals. Firstly, the distinctive dynamic features extracted from the multi-scale decomposition of dynamic modeling of the ECG signals effectively and comprehensibly represent the pathological ECG changes. Secondly, a few most important dynamic features are filtered through a hybrid feature selection algorithm based on filter and wrapper to form a representative reduced feature set. Finally, different classifiers based on the reduced feature set are trained and tested on the public PTB dataset and an independent clinical data set. Main results. Our proposed method achieves a significant improvement in detecting MI patients under the inter-patient paradigm, with an accuracy of 94.75%, sensitivity of 94.18%, and specificity of 96.33% on the PTB dataset. Furthermore, classifiers trained on PTB are verified on the test data set collected from 200 patients, yielding a maximum accuracy of 84.96%, sensitivity of 85.04%, and specificity of 84.80%. Significance. The experimental results demonstrate that our method performs distinctive dynamic feature extraction and may be used as an effective auxiliary tool to diagnose MI patients.
The Pole-Equator Variation of Solar Chromospheric Height

We measured the height of the solar chromosphere as a function of position angle on seven circumsolar sets of high spatial resolution Hα filtergrams obtained during 1994–1995. Typically 40 CCD frames were needed to cover the solar limb. We also measured the frequency of visible macrospicules along the limb as a function of position angle. Two different height measures based on the gradient of the limb profile are defined in the Paper. They show variation with a pole-equator difference of about 2'', the poles being higher. In centerline Ha the derived height is typically 4300–4400 km at the equator and just below 6000 km at the solar poles with a true local scatter of 500 km (rms). A slight increase in height is also seen above active regions. We see a similar but smaller height variation in the wing of Hα. We also measured the height difference between the chromosphere in centerline and the wing of Ha. The off-band limb is always lower than the centerline limb by an average value of 500 km (0.″7). Because of the self reversal of the chromospheric Hα line, the off-band chromosphere is twice as bright as the centerline. As a result, the gradient of the off-band limb profile is considerably steeper just above the photosphere. Thus, the popular misconception that spicules rise above the chromosphere is incorrect, except insofar as the macrospicules are concerned. We find the latter much more frequent above at the pole than at the equator, confirming the result of Bohlin et al. The number of macrospicules near the pole reaches 20 per 150'', or about three per arcmin2 on the disk, while we only count a few (sometimes none) near the equator. While we defer a serious study of the macrospicules to a later work, we can already state that these features are asymmetric in time, i.e., they are seen to go up but not come down. Comparison with Yohkoh soft X-ray data shows a high correlation between the enhanced chromo-spheric height, the macrospicule frequency, and the location of the polar coronal holes. This agrees with earlier measurements obtained in lower resolution and suggests a magnetic cause of the height difference, namely that the presence of a vertical magnetic field permits the jets to ascend higher.
An Inverse Source Problem in Potential Analysis

This paper discusses some aspects of an inverse source problem for elliptic equations, with observations on the boundary of the domain. The main application aimed at is the problem of identifying electrostatic dipoles in the human head where the boundary data are collected via electrodes placed on a part of the head. An uniqueness result is established for dipolar sources. Through solving a finite number of Cauchy problems, one arrives at an inverse problem in the homogeneous case. Assuming the number of dipoles bounded by a known integer M, we have established an algorithm which allows us to identify the number, the locations and moments of the dipoles by algebraic considerations. Other types of sources are also considered.
Closed‐loop consensus control of partial difference multi‐agent systems via variable gain iterative learning strategy

In the research on consensus control of multi‐agent systems (MASs), it is the key to ensure that the state quantities (speed, displacement, etc.) of all agents tend to be consensus. Under this premise, how to accelerate the convergence rate of the consensus error is also an important issue. Aiming at the accelerated consensus problem of MASs composed of partial difference equations, based on the network topology and the output form of each follower, a distributed closed‐loop accelerated iterative learning control (ILC) protocol with variable gain was proposed, which was designed to improve the speed of consensus error. With the help of basic mathematical tools such as discrete Gronwall inequality and contraction mapping method, the sufficient conditions for the convergence of the consensus error are derived and analyzed. Finally, numerical simulations show that the proposed acceleration control protocol is more effective than the traditional open‐loop and closed‐loop ILC protocols.
The Principal Time and Space Scales of the Pacific Trade Wind Fields.

Abstract Five million ship observations have been used to obtain a description of the Pacific trade wind fields in terms of empirical orthogonal functions. The description covers the period 1950–72 in two-month intervals. The major conclusions are as follows: 1) The core regions of the trade winds are quasi-permanent in position. 2) The winds in these regions experience large (20–40%) interannual fluctuations in strength, thus suggesting similarly large changes in the momentum and kinetic energy of the trade wind system. 3) The area of maximum trades expands and contracts at interannual time scales. 4) The ITCZ and the thermal equator in the ocean are congruent on annual and interannual time scales. 5) The northeast and southeast trades are seasonally out of phase. However, the winds immediately poleward of a given trade system fluctuate in phase with the trade system of the opposite hemisphere. The northeast and southeast trades are weakly coupled at interannual time scales. 6) The maximum interannual va.
Eliminating Minimum Implant Area Violations With Design Quality Preservation

Minimum implant area (MIA) violation has emerged in the sub-micrometer technology which requires a certain amount of threshold voltage (<inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}$ </tex-math></inline-formula>) area for the fabrication. Elimination of MIA violations in the sign-off layout thus becomes an inevitable task for a high-performance multiple-<inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}$ </tex-math></inline-formula> design. Conventional approaches as well as the previous efforts to remove MIA violations bring severe defects to the final design in that locally moving cells or reassigning <inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}\text{s}$ </tex-math></inline-formula> make the timing constraints unsatisfied or power consumption to be exploded. In this article, we propose a comprehensive MIA violation removal algorithm that fully and systematically controls the timing budget and power overhead with three sequential steps: 1) removing intra-row MIA violations by <inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}$ </tex-math></inline-formula> reassignment under timing preservation and minimal power increments; 2) removing inter-row MIA violations with a theoretically optimal <inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}$ </tex-math></inline-formula> reassignment while satisfying timing constraints; and 3) refining <inline-formula> <tex-math notation="LaTeX">$V_{\text {t}}$ </tex-math></inline-formula> reassignment to recover the power loss without violating both MIA constraints and timing closure. Moreover, we introduce a preprocessing algorithm at the preroute stage to remove a huge amount of MIA violations in advance for an additional runtime reduction without design quality degradation. Experiments through benchmark circuits show that our proposed approach completely resolve MIA violations while ensuring no timing violation and using 34.6% less power overhead on average than the conventional approaches and previous works. In addition, our preprocessing step reduces 45%–88% of MIA violations before the routing stage, which incurs 41% faster MIA removal on average in the final stage with similar design quality.
Denk Olmayan Gruplarda Ortak Madde Deseni Kullanılarak Madde Tepki Kuramına Dayalı Eşitleme Yöntemlerinin Karşılaştırılması

The purpose of this research was to equate the test for which were constructed in different conditions through scaling methods based on item response theory and to compare the results obtained from these methods. The research was conducted with using dichotomous simulated data which was consistent with two and three parameter logistic model. In order to equate two test forms “the commonitem nonequivalent groups” was used in this research. WINGEN3 program was utilized for data generation and 50 replication were done for 36 different condition used in this research. PARSCALE 4.1 was utilized for the prediction of item parameters and IRTEQ was utilized for test equating and scaling in separate calibration. The results obtained from this simulation study were evaluated based on equating error (RMSE) criterions. The results revealed that, when the conditions evaluated generally, the best equating occurred in 3000-subjects samples, 80-item tests, groups have similar ability distribution, using and mean-mean methods. Moreover, the results indicated that methods had less equating errors when large sample sizes together with long tests were used in groups which had similar ability distributions under the conditions considered in this research
Identification and properties of the M giant/X-ray system HD 154791 = 2A 1704+241

The Aerial V X-ray source 2A 1704+241 (= 4U 1700+24 = 3A 1703+241) is identified with the M3 II star HD 154791. The identification is based on a precise X-ray position determined by the HEAO 1 scanning modulation collimator and the Einstein Observatory imaging proportional counter, together with a spectrum measured by the International Ultraviolet Explorer. The ultraviolet spectrum shows strong emission of C IV 1550 A, N v 1238 A, and Mg II 2800 A, which is very unusual among M giants. This is the first X-ray detection of an M giant which has a completely normal optical spectrum. The X-ray luminosity reaches three orders of magnitude above the mean upper limit for the coronal X-ray flux from M giants. Although there is no direct evidence for a binary system, since radial velocity variations have not been observed, it is shown that a plausible neutron star binary model can be constructed.
Heliospheric Effects on Cosmic-Ray Electrons

Motivated by the success of current modulation models in interpreting the solar modulation of Galactic cosmic-ray nuclei, we consider several effects on cosmic-ray electrons which are new or which have not yet been fully explored. Among these are the contribution of Galactic positrons to the total electron flux, the production of secondary electrons from solar system objects, and the possibility of electrons being accelerated at the solar wind termination shock ("anomalous" cosmic-ray electrons). We find that the first of these provides a natural interpretation of the time variations of Galactic cosmic-ray electrons. Jovian electrons and thermal solar wind electrons may be accelerated to cosmic-ray energies at the termination shock. Such acceleration effects may alter the time-intensity profiles of electrons at Earth, further modifying the interpretation of the electron modulation.
Analysis of the High-Frequency Impedance of Micromachined Film ( Instrument・ Magnetics)

This paper reports an analysis of the high-frequency impedance of micromachined soft-magnetic thin films. The impedance changes according to the directions of the easy axis orientation and the dc magnetic field to be sensed. Investigation of CoZrNb films clarified that the change in permeability with the applied dc magnetic field can be explained by the bias susceptibility theory. Moreover, the change in the impedance of micromachined films can be estimated quantitatively on the basis of the dc field dependence of the permeability.
Risks and outcomes of critical limb ischemia in hemodialysis patients: a prospective cohort study

ABSTRACT Background Peripheral arterial disease (PAD) is more common in patients receiving maintenance hemodialysis than in the general population. Critical limb ischemia (CLI), the most severe form of PAD, is associated with high amputation and mortality risk. However, few prospective studies are available evaluating this disease's presentation, risk factors and outcomes for patients receiving hemodialysis. Methods The Hsinchu VA study, a prospective multicentre study, investigated the impact of clinical factors on cardiovascular outcomes of patients receiving maintenance hemodialysis from January 2008 until December 2021. We evaluated the presentations and outcomes of patients with newly diagnosed PAD and the correlations of clinical variables with newly diagnosed CLI. Results Of 1136 study participants, 1038 had no PAD on enrolment. After a median follow-up period of 3.3 years, 128 had newly diagnosed PAD. Of these, 65 presented with CLI, and 25 underwent amputation or died from PAD. Patients presenting with CLI had more below-the-knee (52%) and multi-level (41%) disease, and completely occluded segments (41%), and higher risk for amputation or PAD-related death compared with patients without CLI (27.7% vs 9.5%, P = .01). After multivariate adjustment, disability, diabetes mellitus, current smoking and atrial fibrillation were significantly associated with newly diagnosed CLI. Conclusions Patients undergoing hemodialysis had higher rates of newly diagnosed CLI than the general population. Those with disabilities, diabetes mellitus, smoking and atrial fibrillation may require careful examination for PAD. Trial registration: Hsinchu VA study, ClinicalTrials.gov identifier: NCT04692636.
Utilization Of Social Media As A Dissemination Media By Agricultural Extension Agents During The Covid-19 Pandemic

Abstract— This study aims to analyze the use of social media during the Covid-19 pandemic. The research location was in the West Java Province which was limited to four districts, representing four agricultural ecosystem zones, namely Bogor, Sukabumi, Ciamis, and Indramayu Regencies. The research samples consisted of 216 field agricultural extension agents spread across the four districts. Data analysis used descriptive statistical analysis. The results showed that the highest level of agricultural extension agents' social media account ownership was on WhatsApp, Facebook, and Instagram. In seeking information about agriculture, the extension workers most commonly used YouTube, Facebook, and Instagram. The extension agents mostly used WhatsApp for the dissemination of agricultural informationKeywords— Social media, agricultural extension agent, Covid-19
Development of TOF-PET using Cherenkov Radiation

We proposed a new concept of TOF-PET (Time-of-Flight Positron Emission Tomography) using Cherenkov radiation. Basic experiments revealed a timing resolution of 170ps, but the detection efficiency was less than those of the conventional BaF2 scintillators. Through simulation studies, we confirmed that the spatial resolution and the S/N ratio of the images reconstructed with TOF information were 1.5 and 3 times better, respectively, than they were without TOF information, when we adopted the FP (Forward Projection) method combined with the ML-EM (Maximum Likelihood Expectation Maximization) algorithm as an image reconstruction algorithm. Consequently, we concluded that TOF-PET using Cherenkov radiation is a promising candidate for next-generation PET. We concluded that PWO (PbWO4) is the best Cherenkov radiator from the viewpoint of detection efficiency. Additionally, we found that the Monte Carlo algorithm was able to generate images having error bars and thus to make quantitative diagnoses possible.
The Effect of Customer Relationship Management on Marketing Performance Mediated by Competitive Advantage and Innovation (Study on Area Managers of Pharmaceutical Companies in East Java during the COVID-19 Pandemic)

The pharmaceutical industry is one of the industries that has experienced significant development in Indonesia. The growth of this sector can be seen in the increasing total market share from year to year. However, the pharmaceutical industry faces several challenges such as the high level of competition and a dynamic business situation. One of them is the COVID-19 pandemic which also affects the condition of the pharmaceutical industry in Indonesia. This study aims to examine and analyze the role of CRM on the marketing performance of the pharmaceutical industry through the mediation of competitive advantage and innovation. A total of
MODIFIED NON-OVERLAPPING TEMPLATE MATCHING TEST AND PROPOSAL ON SETTING TEMPLATE

Rukhin et al. (2010) proposed the non-overlapping template matching test as one of methods for statistical testing of randomness in cryptographic applications. This test is the very interesting, but statistical properties of this test and any methods on setting the template have not been shown. Our new contribution in this paper is to propose a modi(cid:12)ed version of this test including the setting of the template and to show how this modi(cid:12)ed test works eﬀectively by some simulation studies.
Metformin Acutely Mitigates Oxidative Stress in Human Atrial Tissue: A Pilot Study in Overweight Non-Diabetic Cardiac Patients

Metformin, the first-line drug in type 2 diabetes mellitus, elicits cardiovascular protection also in obese patients via pleiotropic effects, among which the anti-oxidant is one of the most investigated. The aim of the present study was to assess whether metformin can acutely mitigate oxidative stress in atrial tissue harvested from overweight non-diabetic patients. Right atrial appendage samples were harvested during open-heart surgery and used for the evaluation of reactive oxygen species (ROS) production by means of confocal microscopy (superoxide anion) and spectrophotometry (hydrogen peroxide). Experiments were performed after acute incubation with metformin (10 µM) in the presence vs. absence of angiotensin II (AII, 100 nM), lipopolysaccharide (LPS, 1 μg/mL), and high glucose (Gluc, 400 mg/dL). Stimulation with AII, LPS, and high Gluc increased ROS production. The magnitude of oxidative stress correlated with several echocardiographic parameters. Metformin applied in the lowest therapeutic concentration (10 µM) was able to decrease ROS generation in stimulated but also non-stimulated atrial samples. In conclusion, in a pilot group of overweight non-diabetic cardiac patients, acute incubation with metformin at a clinically relevant dose alleviated oxidative stress both in basal conditions and conditions that mimicked the activation of the renin–angiotensin–aldosterone system, acute inflammation, and uncontrolled hyperglycemia.
An Automated Virtual Reality Training System for Teacher-Student Interaction: A Randomized Controlled Trial

Background Shortages in qualified supervision and other resources prevent education personnel from rehearsing effective practices. Interactive simulations, although increasingly used in education, frequently require instructor management. Automated simulations rarely engage trainees in skills related to practice (eg, speech). Objective We evaluated the capability of delivering behavioral skills training through an automated virtual reality (VR) simulation using artificial intelligence to improve the implementation of a nondirective mathematical questioning strategy. Methods We recruited and randomly assigned 30 college-aged participants to equivalent treatment (ie, lecture, modeling, and VR; 15/30, 50%) and control groups (ie, lecture and modeling only; 15/30, 50%). The participants were blind to treatment conditions. Sessions and assessments were conducted face to face and involved the use of VR for assessment regardless of the condition. Lessons concerned the use of a nondirective mathematical questioning strategy in instances where a simulated student provided correct or incorrect answers to word problems. The measures included observed and automated assessments of participant performance and subjective assessments of participant confidence. The participants completed the pretest, posttest, and maintenance probes each week over the course of 3 weeks. Results A mixed ANOVA revealed significant main effects of time (F2,27=124.154; P<.001; ηp2=0.816) and treatment (F1,28=19.281; P<.001; ηp2=0.408) as well as an interaction effect (F2,28=8.429; P<.001; ηp2=0.231) for the average percentage of steps in the questioning procedure. Posttest scores for the intervention group (mean 88%, SD 22.62%) exceeded those of the control group (mean 63.33%, SD 22.64%), with t28=3.653, P<. 001, and Cohen d=1.334. Maintenance scores indicated a positive effect of the intervention (mean 83.33%, SD 24.40%) relative to the control (mean 54.67%, SD 15.98%), t28=3.807, P<. 001, Cohen d=1.39. A Mann-Whitney U test indicated that the treatment groups’ self-ratings of confidence (mean 2.41, SD 0.51) were higher than those of the control group (mean 2.04, SD 0.52), U=64, P=. 04, r=0.137. Conclusions The results demonstrate the potential of artificial intelligence-augmented VR to deliver effective, evidence-based training with limited instructor management. Additional work is needed to demonstrate the cascading effect of training on authentic practice and to encompass a wider range of skills.
Russian Double Object Construction

Russian Double Object Constructions Marina Dyakonova 3-30 Parts-of-speech systems and morphological types Kees Hengeveld 31-48 Dynamic perspectives on lexical categorisation Niels Smit 49-75 Emphatic Multiple Negative Expressions in Dutch A by-product of the loss of Negative Concord Hedde Zeijlstra 77-103
On the Stability of Nonautonomous Differential Equations $\dot x = [A + B(t)]x$, with Skew Symmetric Matrix $B(t)$

In this paper we characterize (in Theorem 1) the uniform asymptotic stability of equations of the form \[\left[ {\begin{array}{*{20}c} {\dot x} \\ {\dot y} \\ \end{array} } \right] = \left[ {\begin{array}{*{20}c} {A(t)} &\vline & { - B(t)} \\\hline {B(t)} &\vline & 0 \\ \end{array} } \right]\left[ {\begin{array}{*{20}c} x \\ y \\ \end{array} } \right]\] (where $A(t) + A(t)^T $ is negative definite) in terms of the “richness” of $B(t)$. The equation is uniformly asymptotically stable if and only if $B(t)$ is sufficiently rich. We actually obtain stability results for a much broader class of systems (Theorems 2 and 3) whose behavior is similar to the one above. Such systems have come up recently in some adaptive control problems.