Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault diagnosis of transformer winding short circuit based on WKPCA-WM and IPOA-CNN

When the winding of the power transformer is short-circuited, the winding will experience constant vibration, which will cause axial instability of the winding, and then lead to winding looseness, deformation, bulge, etc., therefore, a diagnosis method based on the Improved Pelican Optimization Algorithm and Convolutional Neural Network (IPOA-CNN) for short-circuit voiceprint signal of transformer windings is proposed. At the same time, considering the input parameter dimension of deep learning cannot be too high, a new feature parameter selection method is constructed for this model. Firstly, the frequency characteristics of winding acoustic vibration signals are analyzed, and then the characteristic parameters of transformer acoustic signals are extracted by Wavelet Packet Energy Spectrum (WPES) and Mel Frequency Cepstrum Coefficient (MFCC), respectively. Then, the two methods are combined to construct the WM feature extraction algorithm, and the Weighted Kernel Principal Component Analysis (WKPCA) is used to reduce the dimension of the feature to obtain the feature parameters with accurate feature information and low redundancy; Finally, combined with Sobol sequence to optimize the initial population of Pelican Optimization Algorithm (POA), the convolution kernel of Convolutional neural network (CNN) was optimized by IPOA, and the optimal convolution kernel was obtained. The transformer winding short-circuits voiceprint diagnosis models of WKPCA-WM and IPOA-CNN were constructed, which realized the accurate diagnosis of winding short-circuit voiceprint. The validity and feasibility of the method are verified by the acoustic signal data collected in the laboratory.
Completion process and quasi-convex subgroups

We show how to effectively compute a graphical representation for a finitely generated quasi-convex subgroup H of an automatic group G (e.g. a hyperbolic group, a right-angled Artin group etc.). Such representations, which are well-known for subgroups of free groups but also in a number of other situations (e.g. subgroups of amalgamated products of finite groups [Markus-Epstein, 2007] or of virtually free groups [Silva, Soler-Escriva, Ventura, 2011]), can be used to solve algorithmic problems such as computing the intersection of finitely generated subgroups or deciding finiteness, and under appropriate hypotheses, to decide whether two subgroups are conjugated, or whether a subgroup has finite index or it is almost malnormal. We also discuss the complexity of computation of this graphical representation: there is no computable bound on the time required to compute it, given the automatic structure of G and a set of words generating H; on the other hand, if we are given the quasi-convexity index k of H, then the computation can be performed in time at most exponential in k and the lengths of the generators. Finally we also describe how to construct similar automata for finitely generated relatively quasi-convex subgroups of toral relatively hyperbolic groups and how to solve different algorithmic problems for them. 1 Finitely presented groups: automatic, hyper-
The effects of a PROSPER-based intervention on well-being among pre-service preschool teachers during the COVID-19 pandemic: a randomized control trial

Abstract This study aims to examine the effectiveness of an intervention program based on the PROSPER, a comprehensive framework which emphasises the importance of positivity, relationships, outcome, strength, purpose, engagement, and resilience in pre-service teachers’ well-being in Hong Kong. Participants were pre-service pre-school teachers (N = 77) who participated in a 1-month randomised control trial with four intervention workshops. They were randomly assigned to either intervention (n = 40) or wait-list control conditions (n = 37). A survey with measures that assessed PROSPER well-being components was administered to participants before and after the intervention. Findings of repeated measures MANCOVA revealed no significant time x group interaction effect, Wilks’ Lambda F(7, 50) = 1.66, p = . 14, η 2 = . 19. Results of univariate analyses showed that a significant time x group interaction effect existed in relationship component (η 2 = .08), indicating that the intervention was effective in facilitating pre-service pre-school teachers’ positive relationships with their peers. Findings underscore the potential benefits of designing positive psychological interventions for teachers amid the COVID-19 pandemic.
A New Mass Spectroscopy-Based Method for Assessing the Periodontal–Endodontic Interface after Intracanal Placement of Biomaterials In Vitro

Optimizing the interface between biomaterials and dental hard tissues can prevent leakage of bacteria or inflammatory mediators into periapical tissues and thus avoid alveolar bone inflammation. In this study, an analysis system for testing the periodontal–endodontic interface using gas leakage and subsequent mass spectrometry was developed and validated using the roots of 15 single-rooted teeth in four groups: (I) roots without root canal filling, (II) roots with an inserted gutta-percha post without sealer, (III) roots with gutta-percha post and sealer, (IV) roots filled with sealer only, and (V) adhesively covered roots. Helium was used as the test gas, and its leakage rate was found by measuring the rising ion current using mass spectrometry. This system made it possible to differentiate between the leakage rates of tooth specimens with different fillings. Roots without filling showed the highest leakage values (p < 0.05). Specimens with a gutta-percha post without sealer showed statistically significantly higher leakage values than groups with a filling of gutta-percha and sealer or sealer alone (p < 0.05). This study shows that a standardized analysis system can be developed for periodontal–endodontic interfaces to prevent biomaterials and tissue degradation products from affecting the surrounding alveolar bone tissue.
Experimental analysis on the effect of milk fat concentration on light scattering intensity

As the improvement of people's living standard, more and more is required of the superior quality dairy products. An important indicator that gets more and more attention to measure the quality of dairy products is ingredient content of nutrients in dairy products. One of main component of milk, the concentration of milk fat is of great significance for light scattering measurements. The photomicrograph of the different homogeneous state of milk fat solution with is different concentrations obtained by using high magnification optical microscope. And the particle size distribution of different homogeneous state and different concentrations of milk fat solution are analyzed. Based on the principle of light scattering technique for the detection of milk composition, as well as analysis of the physical and chemical properties of milk fat solution, the energy spectrum, absorption spectrum, the transmittance spectrum of the different homogeneous state and the different concentrations of milk fat solution are determined by the dual-beam spectrophotometer (TJ270-60). Then the effects of fat solution concentration, particle size distribution and homogeneous state on the light scattering intensity are analyzed. Furthermore, it is derived the relationships among milk fat solution concentration with energy, absorption and transmittance based on experimental results. This study will bring a progress in processing quality control of product, and contribute to promote the development of China's dairy industry for bringing practical significance and great economic benefits.
An X-Ray and Optical Investigation of the Infrared-luminous Galaxy Merger Markarian 266

We discuss X-ray and optical spectra and images of the infrared-bright double-nucleus system Mrk 266 = NGC 5256, with an emphasis on its spectacular gaseous nebula. In soft X-rays, the nebula has a diameter of ≈ 100 kpc, a temperature of a few × 106 K, and a luminosity of about 1042 ergs s-1. The optical emission-line nebula is smaller (35 kpc) but much more luminous (1044 ergs s-1 ≈ 10% Lbol for Mrk 266). The kinematics of the emission-line nebula suggest that a radial outflow of gas is occurring at several hundred km s-1. We also measure high gas pressures in the nebula that decline systematically with increasing radius. We argue that a full understanding of the properties of this system probably requires the presence of both an active galactic nucleus (AGN) and a powerful starburst occuring in a pair of colliding/merging disk galaxies. The presence of an AGN in the southwestern nucleus is demonstrated by the high-ionization type 2 Seyfert emission-line spectrum there. The most direct evidence for a young stellar component in Mrk 266 comes from our analysis of the stellar absorption lines, which show that the signature of an old stellar population is weak and the signature of a young or intermediate-age population is strong throughout the inner part of the system. We suggest that the ongoing galaxy collision has tidally redistributed a swarm of gas clouds. The Seyfert-like spectrum of the nebula implies that these gas clouds are photoionized by the AGN (though the starburst also contributes significantly). The kinematics and physical properties of the gas suggest that a “superwind” driven by the collective effect of the starburst's supernovae and stellar winds stirs up this gas, drives it outward, heats it to X-ray-emitting temperatures, and compresses it to high densities and pressures. We show empirically that only those galaxy mergers that are bright in Hα (i.e., those that contain luminous starbursts) have bright X-ray nebulae. This suggests that the luminous X-ray nebula in Mrk 266 is powered by the starburst outflow rather than by the collisions of gas clouds during the merger. This in turn would imply that powerful starbursts are able to heat (and possibly eject) a significant fraction of the interstellar medium in galaxies that are the products of mergers.
Systematic Review on Protocols of Coenzyme Q10 Supplementation in Non-Surgical Periodontitis Therapy

This systematic review focuses on the different study protocols on CoQ10 as an adjunct in non-surgical periodontitis therapy. The study protocol was developed following PRISMA guidelines and was registered in PROSPERO (CRD42021156887). A sensitive search up to January 2022 considered MEDLINE via PubMed and Web of Science, Embase, Web of Science Core Collection via Web of Science, Google Scholar, Cochrane CENTRAL, WHO (ICTRP), ClinicalTrials.gov, and grey literature. Randomized controlled (SRP with/without placebo) clinical trials (RCTs) on all types of CoQ10 administration were included. The primary outcome was probing pocket depth (PPD). Secondary outcomes were bleeding on probing, clinical attachment loss, and gingival and plaque indices. Twelve RCTs with local and five with systemic CoQ10 administration were included. The study protocols were heterogeneous. Local CoQ10 administration was performed once or several times in a period up to 15 days. Systemic CoQ10 was applied twice or three times daily for six weeks up to four months. The reporting quality was low, including missing information about CoQ10 doses. Risk of bias was high or unclear. About half of the studies reported significant group differences for PPD. Until now, no statement on the effectiveness of CoQ10 in non-surgical periodontitis therapy is possible. Further high-quality RCTs are necessary and should consider the protocol recommendations of this review.
Fault Diagnosis of High Speed Train Bogie Based on Ensemble Empirical Mode Decomposition

Mechanical fault of bogie seriously affects the security and comfort of the high speed train.Vibration signal of bogie and car body change with the fault occurrence,therefore,this paper proposes a fault diagnosis method of high speed train bogie based on Ensemble Empirical Mode Decomposition(EEMD). There are four typical working conditions in simulation experiment,such as air spring fault,yaw damper fault,lateral damper fault and normal condition.Vibration signal becomes several intrinsic mode functions after ensemble empirical mode decomposition.Energy moment feature is extracted to reflect the time distribution rule of energy.The 2nd to 6th energy moment are chosen to constitute 5-dimension eigenvector.In speed of 200 km/h,the Support Vector Machine(SVM) gets recognition rate.Simulation experimental result shows that the correct recognition rate of this method can achieve more than 95%.
Evolution and decay of a rotating flow over random topography

The evolution and decay of a homogeneous flow over random topography in a rotating system is studied by means of numerical simulations and theoretical considerations. The analysis is based on a quasi-two-dimensional shallow-water approximation, in which the horizontal divergence is explicitly different from zero, and topographic variations are not restricted to be much smaller than the mean depth, as in quasi-geostrophic dynamics. The results are examined by comparing the evolution of a turbulent flow over different random bottom topographies characterized by a specific horizontal scale, or equivalently, a given mean slope. As in two-dimensional turbulence, the energy of the flow is transferred towards larger scales of motion; after some rotation periods, however, the process is halted as the flow pattern becomes aligned along the topographic contours with shallow water to the right. The quasi-steady state reached by the flow is characterized by a nearly linear relationship between potential vorticity and transport function in most parts of the domain, which is justified in terms of minimum-enstrophy arguments. It is found that global energy decays faster for topographies with shorter horizontal length scales due to more effective viscous dissipation. In addition, some comparisons between simulations based on the shallow-water and quasi-geostrophic formulations are carried out. The role of solid boundaries is also examined: it is shown that vorticity production at no-slip walls contributes for a slight disorganization of the flow.
Identifying which factors impact bowling and batting performances during the “death” phase of an innings in international men’s 50-over cricket

ABSTRACT In this study, 3,767 balls bowled by international-level fast bowlers across two One-Day International (ODI) tournaments were analysed to determine how to effectively bowl during the “death” phase of an innings (final 10 overs). The results of chi-squared analyses revealed that bowling length, bowling line, batter quality and having wickets in hand were all associated with the concession of runs during the death phase (all p < 0.001). Specifically, the yorker length is revealed to be very effective at restricting runs conceded, whereas the opposite is true for the half-volley and full-toss lengths. The batting side having five or more wickets in hand results in greater than expected runs being scored during the death phase. Furthermore, the results reveal that middle order batters score more runs than their tail-ender team-mates during this death phase, suggesting that middle-order batters have to assume the role of “finishers”. From a practical perspective, the results of this study clearly identify areas bowlers can target to constrict the scoring of runs as well as areas they should avoid. Batting strategies in the death phase should consist maintaining five or more wickets in hand and thereby not exposing tail-enders to the bowling attack.
Understanding the impact and design of AI teammate etiquette

Technical and practical advancements in Artificial Intelligence (AI) have led to AI teammates working alongside humans in an area known as human-agent teaming. While critical past research has shown the benefit to trust driven by the incorporation of interaction rules and structures (i.e. eti-quette) in both AI tools and robotic teammates, research has yet to explicitly examine etiquette for digital AI teammates. Given the historic importance of trust within human-agent teams, the identification of eti-quette’s impact within said teams should be paramount. Thus, this study empirically evaluates the impact of AI teammate etiquette through a mixed-methods study that compares AI teammates that either adhere to or ignore traditional etiquette standards for machine systems. The quantitative results show that traditional etiquette adherence leads to greater trust, perceived performance of the AI, and perceived performance of the team as a whole. However, qualitative results reveal that not all traditional etiquette behaviors have universal appeal due to the presence of individual differences. This research provides the first empirical and explicit exploration of eti-quette within human-agent teams, and the results of this study should be used further design specific etiquette behaviors for AI teammates.
Periodic Reversals of Magnetic Field Generated by Thermal Convection in a Rotating Spherical Shell

The generation and reversals of the magnetic field are investigated by the use of direct numerical simulation of a thermally driven MHD Boussinesq flow in a rotating spherical shell. Moderately strong magnetic field, the energy of which is 30% of the kinetic, is generated in a thermal convection field composed of five pairs of cyclonic and anti-cyclonic vortex columns. The dipole moment of the magnetic field aligns with the rotation axis of the shell most of the time, and changes the direction almost periodically. The magnetic field itself is also reversed simultaneously. The intensity of the dipole moment becomes weak at the transition times.
The Normal and Pathological: The Concept of a Scientific Medicine

In this paper it is suggested that Canguilhem's examination of the history of the distinction between the normal and the pathological contains material of relevance to current debates about the nature of medicine, in particular concerning the status of quantitative indicators as indicators of the need for medical intervention. His arguments against the equation of health with normality are presented, together with his own suggested definition of health and the implications of this definition for physiology and medicine.
Modelling, Validation and Experimental Analysis of Diverse RF-MEMS Ohmic Switch Designs in View of Beyond-5G, 6G and Future Networks—Part 1

The emerging paradigms of Beyond-5G (B5G), 6G and Future Networks (FN), will capsize the current design strategies, leveraging new technologies and unprecedented solutions. Focusing on the telecom segment and on low-complexity Hardware (HW) components, this contribution identifies RF-MEMS, i.e., Radio Frequency (RF) passives in Microsystem (MEMS) technology, as a key-enabler of 6G/FN. This work introduces four design concepts of RF-MEMS series ohmic switches realized in a surface micromachining process. S-parameters (Scattering parameters) are measured and simulated with a Finite Element Method (FEM) tool, in the frequency range from 100 MHz to 110 GHz. Based on such a set of data, three main aspects are covered. First, validation of the FEM-based modelling methodology is carried out. Then, pros and cons in terms of RF characteristics for each design concept are identified and discussed, in view of B5G, 6G and FN applications. Moreover, ad hoc metrics are introduced to better quantify the S-parameters predictive errors of simulated vs. measured data. In particular, the latter items will be further exploited in the second part of this work (to be submitted later), in which a discussion around compact modelling techniques applied to RF-MEMS switching concepts will also be included.
Inherited Retinal Degeneration: Towards the Development of a Combination Therapy Targeting Histone Deacetylase, Poly (ADP-Ribose) Polymerase, and Calpain

Inherited retinal degeneration (IRD) represents a diverse group of gene mutation-induced blinding diseases. In IRD, the loss of photoreceptors is often connected to excessive activation of histone-deacetylase (HDAC), poly-ADP-ribose-polymerase (PARP), and calpain-type proteases (calpain). Moreover, the inhibition of either HDACs, PARPs, or calpains has previously shown promise in preventing photoreceptor cell death, although the relationship between these enzyme groups remains unclear. To explore this further, organotypic retinal explant cultures derived from wild-type mice and rd1 mice as a model for IRD were treated with different combinations of inhibitors specific for HDAC, PARP, and calpain. The outcomes were assessed using in situ activity assays for HDAC, PARP, and calpain, immunostaining for activated calpain-2, and the TUNEL assay for cell death detection. We confirmed that inhibition of either HDAC, PARP, or calpain reduced rd1 mouse photoreceptor degeneration, with the HDAC inhibitor Vorinostat (SAHA) being most effective. Calpain activity was reduced by inhibition of both HDAC and PARP whereas PARP activity was only reduced by HDAC inhibition. Unexpectedly, combined treatment with either PARP and calpain inhibitors or HDAC and calpain inhibitors did not produce synergistic rescue of photoreceptors. Together, these results indicate that in rd1 photoreceptors, HDAC, PARP, and calpain are part of the same degenerative pathway and are activated in a sequence that begins with HDAC and ends with calpain.
A Novel Stereo Camera Fusion Scheme for Generating and Tracking Real-Time 3-D Patient-Specific Head/Face Kinematics and Facial Muscle Movements

Recovery and rehabilitation of facial mimics need enhanced decision support with multimodal biofeedback from 3-D real-time biomechanical head animation. Kinect V2.0 can detect and track 3-D high-definition (HD) face features (FFs), but the end of production can lead to difficult deployment of the developed solutions. Deep neural network (DNN)-based methods were employed, but the detected features were in 2-D or not accurate in 3-D. Thus, we developed a novel stereo-fusion scheme for enhancing the accuracy of 3-D features and generating biomechanical heads. Four stereo cameras were employed for detecting 2-D FFs based on DNN-based models. Stereo-triangulated 3-D FFs were fused using the Kalman filter. A head, skull, and muscle network were generated from the fused FFs. We validated the method with 1000 virtual subjects and five computed tomography (CT)-based subjects. The in silico trial errors (mean ± SD) were 2.27 ± 0.29, 3.15 ± 0.23, 1.72 ± 0.13, and 3.08 ± 0.39 mm for the facial head, facial skull, muscle insertion point, and muscle attachment point regions, respectively. The experimental errors were 1.8384 ± 0.1451, 2.6937 ± 0.0575, 1.8271 ± 0.1242, and 3.1428 ± 0.2407 mm. The errors were compatible with those using the Kinect V2.0 sensor and smaller than those using monovision-based 3-D feature detectors. This study has four contributions: 1) a stereo-fusion scheme for reconstructing 3-D FFs from 2-D FFs; 2) an enhancement accuracy for 3-D DNN-based FF detection; 3) a biomechanical head generation from stereo-fusion cameras; and 4) a full validation procedure for 3-D FF detection. The method will be validated with facial palsy patients. Soft-tissue deformation will be integrated with mixed reality technology toward the next generation of face decision support system.