Miracle-dz/UniFAR-FTUs huggingface dataset:
3D Model Inpainting Based on 3D Deep Convolutional Generative Adversarial Network

In recent years, the problem of hole repairing in the 3D model has been widely concerned in related fields. As the Generative Adversarial Network (GAN) has achieved great success in generating realistic images, a 3D mesh model repair method based on the 3D Deep Convolutional Generative Adversarial Network (3D-DCGAN) is proposed in this paper. The algorithm contains two GANs: a local GAN and a global GAN. Four steps have been used to implement this concept. First, the 3D model is voxelized, and a mask is used to identify the repairing area; Second, the repairing area is generated by training local GAN; Third, the repaired region is combined with the 3D model to be repaired, thereafter, the global GAN is trained with the combined model. Finally, a decent repaired model is obtained with the perfect transition. The experimental results show that this algorithm can effectively generate the repairing area while retaining the details of the area and blend it with the model to be repaired.
Circuits and Systems Issues in Power Electronics Penetrated Power Grid

The penetration of power electronics into power generation and distribution systems has deepened in recent years, as prompted by the increasing use of renewable sources, the quest for higher performance in the control of power conversion, as well as the increasing influence of economic plans that necessitate power trading among different regions or clusters of power distribution. As a result of the increased use of power electronics for controlling power flows in power systems, interactions of power electronics systems and conventional synchronous machines’ dynamics would inevitably cause stability and robustness concerns, which can be readily understood by the coupling effects among interacting dynamical systems of varying stability margins (or transient performances). In this article, we present the various problems of power electronics penetration into power grids and the implications on the stability and robustness of power networks. We specifically attempt to bring together two distinct perspectives, namely, bottom-up (local) and top-down (global) perspectives, and examine the current progress and future direction of research in power systems amidst the extensive deployment of power electronics.
Traffic Prediction in Optical Networks Using Graph Convolutional Generative Adversarial Networks

In this paper, we use a non-linear GCN-GAN model to predict burst events in the optical network. We model three distinct burst events as Plateau, Single-Burst and Double-Burst. Plateau represents the network under steady traffic, Single-Burst represents the network experiencing a rapid traffic spike followed by a steady decrease, and Double-Burst represents the network experiencing a rapid traffic spike followed by an unexpected greater traffic spike. We verify the model's effectiveness to predict these burst events in the real optical networks by comparing it to a basic LSTM, which has been shown to outperform other state-of-the-art models.
Complications and mortality of cardiovascular emergency admissions during COVID-19 associated restrictive measures

While hospital admissions for myocardial infarction (MI) and pulmonary embolism (PE) are decreased during the COVID-19 pandemic, controversy remains about respective complication and mortality rates. This study evaluated admission rates, complications, and intrahospital mortality for selected life-threatening cardiovascular emergencies (MI, PE, and acute aortic dissection (AAD)) during COVID-19-associated restrictive social measures (RM) in Styria, Austria. By screening a patient information system for International Statistical Classification of Diseases and Related Health Problems (ICD) diagnosis codes covering more than 85% of acute hospital admissions in the state of Styria (~1.24 million inhabitants), we retrospectively identified patients with admission diagnoses for MI (I21, I22), PE (I26), and AAD (I71). Rates of complications such as cardiogenic shock and cardiopulmonary resuscitation, treatment escalations (thrombolysis for PE), and mortality were analyzed by patient chart review during 6 weeks following onset of COVID-19 associated RM, and during respective time frames in the years 2016 to 2019. 1,668 patients were included. Cumulative admissions for MI, PE and AAD decreased (RR 0.77; p<0.001) during RM compared to previous years. In contrast, intrahospital mortality increased by 65% (RR 1.65; p = 0.041), mainly driven by mortality following MI (RR 1.80; p = 0.042). PE patients received more frequently thrombolysis treatment (RR 3.63; p = 0.006), while rates of cardiogenic shock and cardiopulmonary resuscitation remained unchanged. Of 226 patients hospitalized during RM, 81 patients with suspected COVID-19 disease were screened for SARS-CoV-2 infection with only 5 testing positive. Thus, cumulative hospital admissions for cardiovascular emergencies decreased during COVID-19 associated RM while intrahospital mortality increased.
Nonlinear Quantum Processes in Superconducting Resonators Terminated by Neon-Focused-Ion-Beam-Fabricated Superconducting Nanowires

We have used a neon focused-ion-beam to fabricate both nanoscale Nb Dayem bridges and NbN phase-slip nanowires located at the short-circuited end of quarter-wavelength coplanar waveguide resonators. The Dayem bridge devices show flux-tunability and intrinsic quality factor exceeding 10 000 at 300 mK up to local fields of at least 60 mT. The NbN nanowires show signatures of incoherent quantum tunneling of flux at 300 mK.
Applying a Gamification Approach to Knowledge Management in Higher Education Institutions

Many universities still struggle with the issue of how to facilitate the sharing of knowledge gained by instructors and maximize the value gained from all available such knowledge assets. Poor Knowledge Sharing (KS) can deter the successful implementation of teaching expertise, and this can affect instructors' teaching performance and may result in lower levels of learner achievement than could otherwise be achieved. Therefore, there is a need to implement a knowledge management (KM) initiative that facilitates the sharing of teaching practices among university instructors. In order to address this issue, this paper proposes a comprehensive and practical Computer-based Teaching Practices Management System (TPMS) which aims to foster instructors' participation in KS practices by employing a gamification approach. A design science research methodology is adopted in order to understand what would drive instructors to share their knowledge; this information is used in order to map their behavior to system features. A qualitative evaluation of users' experiences of utilizing the proposed features shows that the instructors express satisfaction with the motivational affordances and feel that they were motivated to participate in knowledge sharing activities.
Effectiveness of SaBang-DolGi Walking Exercise Program on Physical and Mental Health of Menopausal Women

Objective: We investigated the effectiveness of a 12-week SaBang-DolGi walking exercise program on the physical and mental health of menopausal women and aimed to provide the basic data needed to develop health promotion programs for the active and healthy aging of menopausal women. Materials and methods: The participants comprised 40 women aged 50–65 years who were divided into two randomly selected groups in training sessions (exercising group, n = 21 and control group, n = 19). A physical (grip, muscle and endurance) test and mental health test (simple mental health test II) were conducted using questionnaires with the aim of examining subjects’ physical and mental health before and after exercise. Results: After the intervention, the participants experienced positive changes in the physical dimension, with significant enhancements particularly in mental well-being and menopause-related health and subdomains. Controlled and regular exercise for 12 weeks was significantly correlated with a positive change in vitality and mental health. Conclusions: We found that the SaBang-DolGi walking exercise program helps to promote the physical and mental health of menopausal women who are exposed to the various stresses and depressions that accompany physical deterioration; the program was found to encourage active and healthy aging.
Full-Duplex Relaying for Opportunistic Spectrum Access Under an Overall Power Constraint

To meet the bold requirements of future generation networks, emerging technologies such as opportunistic spectrum access, multi-tier networks, full-duplexing and cooperative networks have to be exploited. In this paper, we propose to blend all the above and globally optimize a relay-aided cognitive radio network composed of a licensed link and an opportunistic link, which is helped by a full-duplex relay node. The opportunistic transmission is allowed provided that a minimum Quality of Service (QoS) constraint is met at the licensed user. First, we derive the achievable rate region under two relaying schemes, namely Decode-and-Forward (DF) and Compress-and-Forward (CF). Then we investigate the optimal power allocation policies for the opportunistic user and the relay under an overall power constraint. The resulting optimization problems are non-convex programs because of the non-trivial operations at the relay (for both CF and DF) and, for DF relaying, the non-convex QoS constraint. Remarkably, the optimal solution is stated in closed-form for CF, whereas it is obtained numerically for DF. Finally, we evaluate numerically the network performance under the two relaying schemes. It turns out that DF outperforms CF only when the relay is close to the opportunistic transmitter and that CF relaying is always useful.
STUDIES ON EVALUATING THE OPTIMAL NITROGEN TO SULFUR RATIO IN THE DIET OF INNER MONGOLIAN WHITE CASHMERE GOATS IN FIBER SLOW-GROWING PERIOD

Effects of sulfur supplementation on N and S metabolism,nutrient digestibility,digesta flows in the digestive tracts were determined using nine castrated male Er-lang-shan white cashmere goats during fiber slowly-growing period(Jan.1999 to Feb.1999). Goats were fed diets containing 0.15%,0.23%,0.27% S(with N/S 11.02,7.40 and 6.03 respectively). The apparent digestibility of CP and digestible N? retained N? retained N/digestible N of the goats fed diet with N/S of 7.40 were higher than those of goats fed diet with N/S of 6.03(P0.05). The apparent digestibility of DM,OM,ADF of the goats fed diet with N/S of 6.03 was lower than other treatments.Supplying S decreased ruminal effective degradabity of feed DM,ADF,CP.Sulfur supplementation increased total S flowing into the duodenum.According the quadratic relationship of retained N,the apparent digestibilitise of OM? DM? ADF with dietary S levels,the optimal dietary S level and optimal ratio N/S were 0.213%,7.80:1,respectively.
The Effects of Premature Tooth Extraction and Damage on Replacement Timing in the Green Iguana.

Reptiles with continuous tooth replacement, or polyphyodonty, replace their teeth in predictable, well-timed waves in alternating tooth positions around the mouth. This process is thought to occur irrespective of tooth wear or breakage. In this study, we aimed to determine if damage to teeth and premature tooth extraction affects tooth replacement timing long-term in juvenile green iguanas (Iguana iguana). First, we examined normal tooth development histologically using a BrdU pulse-chase analysis to detect label-retaining cells in replacement teeth and dental tissues. Next, we performed tooth extraction experiments for characterization of dental tissues after functional tooth (FT) extraction, including proliferation and β-Catenin expression, for up to 12 weeks. We then compared these results to a newly analyzed historical dataset of X-rays collected up to 7 months after FT damage and extraction in the green iguana. Results show that proliferation in the dental and successional lamina (SL) does not change after extraction of the FT, and proliferation occurs in the SL only when a tooth differentiates. Damage to an FT crown does not affect the timing of the tooth replacement cycle, however, complete extraction shifts the replacement cycle ahead by 4 weeks by removing the need for resorption of the FT. These results suggest that traumatic FT loss affects the timing of the replacement cycle at that one position, which may have implications for tooth replacement patterning around the entire mouth.
Design Optimization Techniques in Nanosheet Transistor for RF Applications

Nanosheet gate-all-around transistors are analyzed for RF applications using calibrated TCAD simulations. The effects of stack spacing and number of stacks on device performance are studied and a substack design for improved RF performance is proposed. The novel substack design can improve cut-off frequency (<inline-formula> <tex-math notation="LaTeX">${F}_{{t}}$ </tex-math></inline-formula>) by ~10% and minimum number of substacks and minimum substack spacing should be used.
A Complete Cross Section Data Set for Electron Scattering by Pyridine: Modelling Electron Transport in the Energy Range 0–100 eV

Electron scattering cross sections for pyridine in the energy range 0–100 eV, which we previously measured or calculated, have been critically compiled and complemented here with new measurements of electron energy loss spectra and double differential ionization cross sections. Experimental techniques employed in this study include a linear transmission apparatus and a reaction microscope system. To fulfill the transport model requirements, theoretical data have been recalculated within our independent atom model with screening corrected additivity rule and interference effects (IAM-SCAR) method for energies above 10 eV. In addition, results from the R-matrix and Schwinger multichannel with pseudopotential methods, for energies below 15 eV and 20 eV, respectively, are presented here. The reliability of this complete data set has been evaluated by comparing the simulated energy distribution of electrons transmitted through pyridine, with that observed in an electron-gas transmission experiment under magnetic confinement conditions. In addition, our representation of the angular distribution of the inelastically scattered electrons is discussed on the basis of the present double differential cross section experimental results.
Predicting Multivariate Responses of Sexual Dimorphism to Direct and Indirect Selection

Sexual dimorphism is often assumed to result from balancing the strength of antagonistic selection in favor of dimorphism against the degree of constraint imposed by the shared genome of the sexes, reflected in the B matrix of genetic intersexual covariances. To investigate the totality of forces shaping dimorphism, we reparameterized the Lande equation to predict changes in trait averages and trait differences between the sexes. As genetic constraints on the evolution of dimorphism in response to antagonistic selection become larger, dimorphism will tend to respond more rapidly to concordant selection (which favors the same direction of change in male and female traits) than to antagonistic selection. When we apply this theory to four empirical estimates of B in Drosophila melanogaster, the indirect responses of dimorphism to concordant selection are of comparable or larger magnitude than the direct responses of dimorphism to antagonistic selection in two suites of traits with typical levels of intersex correlation. Antagonistic selection is more important in two suites of traits where the intersex correlations are unusually low. This suggests that the evolution of sexual dimorphism may sometimes be dominated by concordant selection rather than antagonistic selection.
Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study

Generalised estimating equations with the sandwich standard-error estimator provide a promising method of analysis for stepped wedge cluster randomised trials. However, they have inflated type-one error when used with a small number of clusters, which is common for stepped wedge cluster randomised trials. We present a large simulation study of binary outcomes comparing bias-corrected standard errors from Fay and Graubard; Mancl and DeRouen; Kauermann and Carroll; Morel, Bokossa, and Neerchal; and Mackinnon and White with an independent and exchangeable working correlation matrix. We constructed 95% confidence intervals using a t-distribution with degrees of freedom including clusters minus parameters (DFC-P), cluster periods minus parameters, and estimators from Fay and Graubard (DFFG), and Pan and Wall. Fay and Graubard and an approximation to Kauermann and Carroll (with simpler matrix inversion) were unbiased in a wide range of scenarios with an independent working correlation matrix and more than 12 clusters. They gave confidence intervals with close to 95% coverage with DFFG with 12 or more clusters, and DFC-P with 18 or more clusters. Both standard errors were conservative with fewer clusters. With an exchangeable working correlation matrix, approximated Kauermann and Carroll and Fay and Graubard had a small degree of under-coverage.
Limbus misrepresentation in parametric eye models

Purpose To assess the axial, radial and tangential limbus position misrepresentation when parametric models are used to represent the cornea and the sclera. Methods This retrospective study included 135 subjects aged 22 to 65 years (36.5 mean ±9.8 STD), 71 females and 64 males. Topography measurements were taken using an Eye Surface Profiler topographer and processed by a custom-built MATLAB code. Eye surfaces were freed from edge-effect artefacts and fitted to spherical, conic and biconic models. Results When comparing the radial position of the limbus, average errors of -0.83±0.19mm, -0.76±0.20mm and -0.69±0.20mm were observed within the right eye population for the spherical, conic and biconic models fitted up to 5mm. For the same fitting radius, the average fitting errors were -0.86±0.23mm, -0.78±0.23mm and -0.73±0.23mm for the spherical, conic and biconic models respectively within the left eye population. For the whole cornea fit, the average errors were -0.27±0.12mm and -0.28±0.13mm for the spherical models, -0.02±0.29mm and -0.05±0.27mm for the conic models, and -0.22±0.16mm and 0.24±0.17mm for the biconic models in the right and left eye populations respectively. Conclusions Through the use of spherical, conic and biconic parametric modelling methods, the eye’s limbus is being mislocated. Additionally, it is evident that the magnitude of fitting error associated with the sclera may be propagating through the other components of the eye. This suggests that a corneal nonparametric model may be necessary to improve the representation of the limbus.
Efficient Algorithms for Calculating Epistatic Genomic Relationship Matrices

The genomic relationship matrix plays a key role in the analysis of genetic diversity, genomic prediction, and genome-wide association studies. The epistatic genomic relationship matrix is a natural generalization of the classic genomic relationship matrix in the sense that it implicitly models the epistatic effects among all markers. Calculating the exact form of the epistatic relationship matrix requires high computational load, and is hence not feasible when the number of markers is large, or when high-degree of epistasis is in consideration. Currently, many studies use the Hadamard product of the classic genomic relationship matrix as an approximation. However, the quality of the approximation is difficult to investigate in the strict mathematical sense. In this study, we derived iterative formulas for the precise form of the epistatic genomic relationship matrix for arbitrary degree of epistasis including both additive and dominance interactions. The key to our theoretical results is the observation of an interesting link between the elements in the genomic relationship matrix and symmetric polynomials, which motivated the application of the corresponding mathematical theory. Based on the iterative formulas, efficient recursive algorithms were implemented. Compared with the approximation by the Hadamard product, our algorithms provided a complete solution to the problem of calculating the exact epistatic genomic relationship matrix. As an application, we showed that our new algorithms easily relieved the computational burden in a previous study on the approximation behavior of two limit models.
Quantitative Proteomic Analysis of the Expression of SARS-CoV-2 Receptors in the Gut of Patients with Chronic Enterocolitis

The cellular entry of severe respiratory syndrome coronavirus-2 (SARS-CoV-2) is mediated by interaction with the human angiotensin-converting enzyme 2 (ACE2), a receptor that is expressed on both lung and intestinal epithelial cells. We performed a quantitative proteomic analysis to investigate the expression of possible receptors for SARS-CoV-2 in the intestinal mucosa of 23 patients with chronic colitis. ACE2 expression was low and remained unaltered in the gut of patients with ulcerative colitis (UC), Crohn's disease (CD), intestinal Behćet's disease (BD), and intestinal tuberculosis (TB), when compared with that of healthy individuals. Additionally, the expression levels of some probable co-receptors, including dipeptidyl peptidase 4 (DPP4), aminopeptidase N (AMPN), and glutamyl aminopeptidase (AMPE), were unchanged in the affected UC, CD, intestinal BD, and intestinal TB colon mucosa samples. In conclusion, gut inflammation associated with chronic colitis does not mediate a further increase in the cellular entry of SARS-CoV-2.