Miracle-dz/UniFAR-FTUs huggingface dataset:
Wi-PT: Wireless Sensing based Low-cost Physical Rehabilitation Tracking

Physical therapy (PT) exercises are critically important for the rehabilitation of patients with motor deficits. While rehabilitation exercises can be most effective when performed properly under the supervision of a physical therapist, it can be costly in terms of several aspects and may not be a viable option for all patients. At-home systems offer more accessible and less costly solutions to patients while also providing flexibility in scheduling prescribed exercises. However, current systems mostly depend on camera based solutions that have limitations (i.e., deployment cost, requiring patients to be in the sight of camera, potential privacy violations) or wearable solutions that are cumbersome and intrusive. To this end, in this paper, our goal is to leverage the WiFi infrastructure available in most indoor locations (i.e., homes, apartments, nursing homes, etc.) for tracking the exercises prescribed to patients during their rehabilitation. Our solution, Wi-PT, is based on the analysis of Channel State Information (CSI) captured from ambient WiFi signals, and uses deep learning models trained to recognize the prescribed physical therapy exercises. Through our experiments, we show that the proposed solution can successfully recognize different types of physical therapy exercises such as hand and finger movements, limb movements and movements performed with exercise equipment. Moreover, we show that our system can recognize the person performing different activities and can identify when they are at rest or actively performing an exercise.
Optimization Approaches for Controller and Schedule Codesign in Networked Control

Abstract We consider the offline optimization of a sequence for communication scheduling in networked control systems. Given a continuous-time Linear Quadratic Regulator (LQR) problem we design a sampled-data periodic controller based on the continuous time LQR controller that takes into account the limited communication medium and inter-sampling behavior. To allow for a Riccati equation approach, singularities in the weighting matrices and time-variance are accounted for using a lifting approach. Optimal scheduling can be obtained by solving a complex combinatorial optimization problem. Two stochastic algorithms will be proposed to find a (sub)optimal sequence and the associated optimal controller which is the result of a discrete algebraic Riccati equation for the given optimal sequence.
Discrete-time optimization of current-sensor-less control for a high-frequency all-SiC CSI converter

This paper proposes the controller design for a current source inverter using only voltage-sensors on the output. The inverter is intended for application with a high-speed electrical machine and is based on the use of wide-band-gap semiconductor technology operating at high switching frequencies. Current source inverters require additional sensors compared to well-known voltage source inverters. Recently, by taking advantage of the high-speed switching performance of wide-band-gap semiconductor, a simple and robust control design method without voltage sensing have been proposed. Based on this recent work, this paper proposes the simplified current-sensor-less controller of the CSI-fed PMSM. The benefits of this approach compared to recent alternative solutions are discussed in detail.
A lossless audio codec based on hierarchical residual prediction

In this study, we propose a novel lossless audio codec that exhibits precise prediction performance leveraging a neural network with fast decoding speed. The proposed network structure is identical to the ResNet; we repeatedly predict on residual. Furthermore, we propose optimal parameter setting tactics for the recursive Golomb-Rice coding. Finally, we implement the codec and experimentally compare its performance with that of state-of-the-art codecs. We confirmed practical decoding speed and higher compression ability than other methods, except for Monkey's Audio.
Antimicrobial prophylaxis in patients undergoing endoscopic mucosal resection for 10- to 20-mm colorectal polyps: A randomized prospective study

Background and purpose: Endoscopic mucosal resection (EMR) is frequently used for the removal of colorectal neoplasms. However, the use of prophylactic antibiotics in patients undergoing EMR is debatable. The aim of this randomized controlled trial was to assess whether antimicrobial prophylaxis is crucial in the perioperative period of EMR, especially for 10- to 20-mm lesions in this setting. Methods: Two hundred and sixty-four patients were randomized equally into 2 groups, the antibiotic (cefixime) group and the control group. The occurrence of adverse events was examined at 1 to 3 days after EMR. Plasma levels of inflammatory markers were analyzed at pre-operation, 1 day post-operation and 3 days post-operation. Blood samples collected at 1 day post-operation were used for culture. Results: A total of 264 and 268 polyps were removed by EMR in the antibiotic group and the control group, respectively. There were 5 cases of fever, with 2 in the antibiotic group and 3 in the control group. In the antibiotic group, 12 patients had abdominal pain and 10 suffered bleeding, whereas in the control group, abdominal pain and bleeding were observed in 10 and 11 patients, respectively. There were no significant differences in the proportion of patients with fever or the incidences of postoperative complications between the groups. No significant differences between the groups were reported in plasma levels of white blood cell count, erythrocyte sedimentation rate, C-reactive protein or procalcitonin at pre-operation or post-operation. No patients provided positive blood cultures. Conclusions: The use the prophylactic antibiotics for EMR procedures in the perioperative period is no longer required when the lesions are 10 to 20 mm in size.
Clinical characteristics and risk factors of 267 patients having severe fever with thrombocytopenia syndrome–new epidemiological characteristics of fever with thrombocytopenia syndrome: Epidemiological characteristics of SFTS

Objective: To analyze the epidemiological distribution, clinical characteristics, and prognostic risk factors of patients having severe fever with thrombocytopenia syndrome (SFTS). Methods: We enrolled 790 patients with SFTS divided into the ordinary group and the severe group, analyzed the clinical characteristics, and screened the risk factors of severious patients by univariate logistic regression analysis. Results: Most of the 790 patients (SFTS) are farmers (84.56%). The proportion of patients with fieldwork history was 72.41%, of which 21.27% had a clear history of a tick bite and 98.61% were sporadic cases. The annual peak season is from April to November. 16.33% patients were not accompanied by fever. The incidence of severe thrombocytopenia was 47.59%. They were statistically significant between the 2 groups in indicators such as age, hypertension, coronary heart disease, diabetes mellitus, bunyavirus nucleic acid load and mean platelet count (P < .05). Multivariate non conditional Logistic regression analysis showed that the risk factors of the mild patients deteriorating severe disease were age (OR = 1.985, P ≤ .003), diabetes mellitus (OR = 1.702, P ≤ .001), coronary heart disease (OR = 1.381, P ≤ .003), platelet count (OR = 2.592, P ≤ .001), viral nucleic acid loading (OR = 3.908, P ≤ .001). Conclusion: The incidence population and seasonal distribution characteristics of patients with SFTS are obvious. The risk factors for poor prognosis of severe patients are old age, multiple basic medical histories, high viral load, a serious decrease of mean platelet count, and delay of treatment time.
Performance of CFRP-strengthened RC beams subjected to repeated loads

In this paper, the effects of fatigue leading to crack formation and potential durability-bonding problems in reinforced concrete (RC) beams strengthened by carbon fiber reinforced polymer (CFRP) are studied. These effects are shown to cause CFRP de-bonding and loss of load carrying capabilities under static or low cyclic loading. Two series of RC beams with CFRP strengthening system are constructed and designed to fail in shear and flexural failures, respectively, under static loading. Repeated loading tests are conducted according to various loading ranges and loading cycles, and the experimentally determined fatigue properties are discussed. The test results show that it is possible to eliminate the debonding modes for longitudinally bonded CFRP using a U-wrap CFRP combination. The fatigue loads tested showed a significant effect on concrete rather than the CFRP system especially for the strengthened beams bearing a higher shear level. Moreover, the proposed equation to fit the testing S–N curve and the discussion of the stress in the component materials could be used for fatigue life predictions of beams with CFRP strengthening systems.
Antioxidant effect of spirulina in chronic periodontitis

Background: Production of reactive oxygen species (ROS) by polymorpho nuclear neutrophils occurs in chronic periodontitis. These ROS are mainly involved in bacterial destruction. However, extracellular release of same results in destruction of surrounding tissue. Spirulina, a potent antioxidant when administered sub gingivally in pockets can offer improved results in chronic periodontitis patients. This study was conducted to evaluate the effect of Spirulina when delivered sub gingivally in patients with chronic periodontitis. Methods: Sixty chronic periodontitis patients were divided into 2 groups. Group I (n = 30) were treated with Scaling and Root planning (SRP) followed by placement of placebo (SRP-P) and in Group II (n = 30) Spirulina microspheres were placed sub gingivally (SRP-S) following SRP. Clinical parameters like bleeding on probing (BOP), clinical attachment level (CAL), gingival index (GI) and probing pocket depth (PPD) were evaluated. Levels of salivary and serum Malondialdehyde (MDA) were estimated using ultra violet spectrophotometer. Results: At baseline, in both groups there was no statistically significant difference in clinical and biochemical parameters. Intra group comparisons of parameters from baseline to 90 days were statistically significant in both groups. After 90 days difference in clinical parameters and salivary MDA levels were statistically significant in SRP-S compared to SRP-P group. Though serum MDA levels were reduced in both groups, they were not significant statistically. Conclusions: Our study concluded that, local drug delivery of Spirulina adjunctive to SRP has potent antioxidant effect in treatment of chronic periodontitis.
Association between arsenic exposure and inflammatory cytokines and C-reaction protein: A systematic review and meta-analysis

Background: Previous studies have reported controversial results on levels of inflammatory cytokines in patients with arsenic exposure. This study aims to evaluate the associations between arsenic exposure and inflammatory cytokines and C-reaction protein (CRP). Methods: We searched the databases including PubMed, Embase, Web of Science, and China national knowledge infrastructure (CNKI) for studies reporting levels of cytokines and CRP in patients with arsenic exposure compared to the controls. The retrieval time was from January 2000 to September 2022. Results: 13 observational studies involving 1665 arsenic exposed and 1091 unexposed individuals were included. Among these studies, 6 from China, 4 from India, 2 from Bangladesh and 1 from Turkey. Our result showed that interleukin (IL)-6, IL-8, and IL-12 levels were significantly higher in arsenic-exposed individuals compared to the control group, IL-2 level was significantly lower, and Tumor necrosis factor-α, Interferon-γ, CRP, and IL-10 levels were not changed. After sensitivity analyses, tumor necrosis factor-α and Interferon-γ levels were significantly higher in arsenic-exposed individuals compared to the control group. High heterogeneity was detected in most studies. Conclusion: Many cytokines (such as IL-6, IL-8, and IL-12) have altered in individuals with arsenic exposure, this indicates arsenic exposure could trigger the cell-mediated inflammatory response. Regular examining immune function (such as inflammatory cytokines) in individuals with the risk of arsenic exposure is important to human health.
A five ferroptosis-related genes risk score for prognostic prediction of osteosarcoma

Background: Osteosarcoma (OS) is the most common bone cancer in adolescents, and has a high propensity to metastasize. Ferroptosis is a unique modality of cell death, driving the metastasis of cancer cells. Identifying ferroptosis-related genes (FRGs) as prognostic factors will be critical to predict the outcomes of OS. This study aimed to explore the prognostic value of FRGs in OS and build a prognostic model to indirectly improve OS patients’ outcomes. Methods: OS data were downloaded from the TARGET database and 2 Gene Expression Omnibus datasets. Univariate Cox regression was conducted to assess FRGs. A risk score model basing on 5 FRGs was constructed via LASSO-Cox regression. Multivariate Cox regression analysis was used to determine the independent prognostic factors. The Nomogram model was built using independent prognostic factors. The relationship between the risk score and the immune cell infiltration was estimated by CIBERSORT, and the correlation between the risk score and immune checkpoints was also analyzed. Results: Based on the prognosis-related FRGs, we built a regression model: Risk score = (−0.01382853 × ACSL4) − (0.05371778 × HMOX1) − (0.02434655 × GPX4) − (0.16432810 × PRNP) − (0.15567120 × ATG7). OS patients with high risk score tended to suffer from poor prognosis, validated in 2 Gene Expression Omnibus datasets. The Nomogram model showed the combination of the risk score and the tumour-node-metastasis stage improved predictive effectiveness. The risk score was also related to immune cell infiltration and immune checkpoint expression. Conclusion: The risk score model based on 5 FRGs was a reliable prognostic predictive indicator for OS patients.
Bias in the Cepheid Period-Luminosity Relation

We show that the Cepheid period-luminosity (PL) relation is affected by a Malmquist-type bias, the so-called population incompleteness bias. Its calculated slope appears shallower than the true one because of the cutoff in apparent magnitude resulting from the instrumental limiting magnitude. Furthermore, the use of the PL relation, even with the correct slope, leads to an underestimation of distances that is not negligible. We confirm this finding by studying simulated PL relations, and we show that this bias may be as large as 0.2 or 0.3 mag on distance modulus. We also test the efficiency of a cutoff in log P and show that it is a good way to minimize this bias. However, a correction of this is difficult as long as the completeness of the sample is not perfectly well established.
International Inﬂation and Trade Linkages in Brazil under Inﬂation Targeting

We assess the connection between global and domestic inﬂation in Brazil during the period from 1999 to 2020 . Input-output linkages have been shown to be an important cause of inﬂation synchronization of inﬂation for advanced and emerging economies. International cost shocks are less studied in the case of Brazil. We therefore estimate a Structural VAR model with an index for producer prices (PPI) of Brazilian trade partners, in addition to the other relevant determinants of inﬂation. Estimates shows a positive effect of the Foreign PPI on Brazilian Consumer Price Index, constituting a relevant explanation for domestic inﬂation in Brazil during the period 1999 - 2020 . Impulse Response functions show that the Exchange Rate is the main determinant of domestic CPI in Brazil. The results are in line with the literature’s empirical ﬁndings showing the overall relevance of international variables in the explanation of inﬂation. Overall, our results reveal the dominance of shocks related to the external sector (Exchange Rate, Foreign PPI, and Commodity Prices) over domestic shocks (GDP and Interest Rate) to explain inﬂation in Brazil. The importance of international shocks and of Foreign PPI in particular has important implications for monetary policy. International shocks are not affected by the policy rate pegged by the Central Bank of Brazil. However, the impact of these shocks on Brazilian prices also depend on the exchange rate. Therefore, our results seem to conﬁrm that the inﬂation targeting regime relied mainly on the exchange rate effect of interest rate increases. Finally, this paper provides an additional variable explaining the effect of external shocks on domestic inﬂation in Brazil.
Fraction-dense algebras and spaces

A fraction-dense (semi-prime) commutative ring A with 1 is one for which the classical quotient ring is rigid in its maximal quotient ring. The fraction-dense f-rings are characterized as those for which the space of minimal prime ideals is compact and extremally disconnected. For Archimedean lattice-ordered groups with this property it is shown that the Dedekind and order completion coincide. Fraction-dense spaces are defined as those for which C (X) is fraction-dense. If X is compact, then this notion is equivalent to the coincidence of the absolute of X and its quasi-F cover.
The structure and ionization of the extended emission-line filaments surrounding the QSO MR 2251-178

This paper presents new VLA radio maps, at 6 cm and 20 cm, of the QSO MR 2251-178, together with deep high-spatial-resolution images in the O II forbidden 3727-A line in the O III forbidden 5007-A line, and H-alpha emission lines, showing the presence of extended emission-line filaments surrounding the MR 2251-178. The morphology of the circumnuclear emission-line regions and an extended system of filaments in different ionization states are shown. The physical characteristics, such as luminosities, densities, mass, and ionization parameters of different filaments are derived. 48 refs.
Integral Kernels with Reflection Group Invariance

Root systems and Coxeter groups are important tools in multivariable analysis. This paper is concerned with differential-difference and integral operators, and orthogonality structures for polynomials associated to Coxeter groups. For each such group, the structures allow as many parameters as the number of conjugacy classes of reflections. The classical orthogonal polynomials of Gegenbauer and Jacobi type appear in this theory as two-dimensional cases. For each Coxeter group and admissible choice of parameters there is a structure analogous to spherical harmonics which relies on the connection between a Laplacian operator and orthogonality on the unit sphere with respect to a group-invariant measure. The theory has been developed in several papers of the author [4,5,6,7]. In this paper, the emphasis is on the study of an intertwining operator which allows the transfer of certain results about ordinary harmonic polynomials to those associated to Coxeter groups. In particular, a formula and a bound are obtained for the Poisson kernel.
MEG and EEG evoked by verbal cognitive tasks

We observed the brain electrical activities associated with verbal cognitive processes by measuring both EEGs and MEGs evoked by visually cognitive tasks. English words, nonsense words and random dots were presented. We discussed the source estimation at latencies of 150 msec and 360 msec using MEG data. At 150 msec, two equivalent current dipoles are localized in or near the primary visual cortex. The dipole sources for recognition of English words at 360 msec were estimated in both hemispheres, and the dipole moment in the left hemisphere was larger than the dipole moment of the right hemisphere. However, we could not find sources common to all subjects.
The electric field dependence of Cu migration induced dielectric failure in interlayer dielectric for integrated circuits

The Cu migration-induced failure of the interlayer dielectric in integrated circuits was studied using the time-dependent dielectric breakdown (TDDB) test and one dimensional (1D) finite difference method (FDM) simulation. A metal-insulator-semiconductor structure with a Cu electrode was used for the TDDB tests. A 1D FDM simulation was performed while considering the space charge effect due to the Cu ions that migrated into the dielectric. Both the TDDB and FDM simulation showed the linear dependence of the times to failure (TTFs) on the applied electric field in accelerating conditions. However, the extrapolation of the lifetime under low field service conditions using the 1D FDM showed a deviation from the E model in the case of the TTFs.
Molecular Abundance Enhancements in the Highly Collimated Bipolar Outflow BHR 71

We report observations of the J = 3 → 2 and J = 2 → 1 transitions of SiO and CS, the Jk = 3k → 2k and Jk = 2k → 1k transitions of CH3OH, and the J = 1 → 0 transition of HCO+, made with Swedish-ESO Submillimetre Telescope (SEST), toward the highly collimated bipolar outflow BHR 71. Broad wing emission was detected toward the outflow lobes in all the observed molecular lines. The shapes of the profiles are strikingly different from molecule to molecule. For CS and HCO+ the emission from the outflowing gas appears as a weak broad feature superposed upon a strong narrow emission from the quiescent ambient gas. For CH3OH the intensity of the broad emission feature is considerably stronger than that of the narrow component, whereas for SiO the broad feature completely dominates the emission spectra. The spatial distribution of the integrated wing emission is considerably extended and broadly similar in all the observed molecular transitions, showing well-separated blueshifted and redshifted lobes with FWHM angular sizes of 2. ′4 × 1. ′3 and 2. ′4 × 1. ′4, respectively. We find that the abundance of methanol and silicon monoxide in the outflow lobes is enhanced with respect to that of the ambient cloud by factors of up to ~40 and 350, respectively. The large enhancements of methanol and silicon monoxide in the outflow lobes are most likely due to the release from grains of ice mantles and Si-bearing species via shocks produced by the interaction between the outflow and dense ambient gas. On the other hand, we find that the abundance of HCO+ in the outflowing gas is smaller than that in the ambient gas by about a factor of 20, a decrease consistent with theoretical predictions of shock models.
Spatial model of lifting scheme in wavelet transforms and image compression

Wavelet transforms via lifting scheme are called the second-generation wavelet transforms. However, in some lifting schemes the coefficients are transformed using mathematical method from the first-generation wavelets, so the filters with better performance using in lifting are limited. The spatial structures of lifting scheme are also simple. For example, the classical lifting scheme, predicting-updating, is two-stage, and most researchers simply adopt this structure. In addition, in most design results the lifting filters are not only hard to get and also fixed. In our former work, we had presented a new three-stage lifting scheme, predicting-updating-adapting, and the results of filter design are no more fixed. In this paper, we continue to research the spatial model of lifting scheme. A group of general multi-stage lifting schemes are achieved and designed. All lifting filters are designed in spatial domain and proper mathematical methods are selected. Our designed coefficients are flexible and can be adjusted according to different data. We give the mathematical design details in this paper. Finally, all designed model of lifting are used in image compression and satisfactory results are achieved.