Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Model for the Friction Coefficient of Resin-Based Friction Material and Its Experimental Verification

Resin-based friction materials have been widely used in the friction braking of automobiles and power machinery. Based on experiments for the variation law of friction and wear morphology, a new model for the friction coefficient of resin-based friction materials was proposed, which includes the effects of both the micro convex body on the surface of the friction material and the frictional film generated during the friction process. This quantitative model of friction coefficient materials was established for the modelling of shear strength, compressive strength, shear strength of the frictional film, contact load and wear morphology. The shear strength, compressive strength and wear morphology of the friction material were adjusted by changing the content of basalt fibers and flaky potassium magnesium titanate. Finally, the accuracy of this quantitative model of friction coefficient was verified through experiments on friction samples with different formulations and by changing the frictional contact load. The results show that the predicted friction coefficient of the model is in good agreement with the experimental friction coefficient, the difference between the upper and lower limits of the forecast is only 5.03% and 2.30%, respectively. Meanwhile, the influence of the ratio of shear strength to compressive strength on the friction coefficient is greater than the proportion of wear morphology. The proposed friction model provides a reference value for the study of new resin-based friction materials.
Electron Magnetic Moment in Highly Charged Ions: The ARTEMIS Experiment

The magnetic moment (g‐factor) of the electron is a fundamental quantity in physics that can be measured with high accuracy by spectroscopy in Penning traps. Its value has been predicted by theory, both for the case of the free (unbound) electron and for the electron bound in a highly charged ion. Precision measurements of the electron magnetic moment yield a stringent test of these predictions and can in turn be used for a determination of fundamental constants such as the fine structure constant or the atomic mass of the electron. For the bound‐electron magnetic‐moment measurement, two complementary approaches exist, one via the so‐called “continuous Stern–Gerlach effect”, applied to ions with zero‐spin nuclei, and one a spectroscopic approach, applied to ions with nonzero nuclear spin. Here, the latter approach is detailed, and an overview of the experiment and its status is given.
The Power of Trust: Exploring Its Contribution to E-commerce Purchase Decisions

This study aims to evaluate the effects of service quality, security, and price perception on consumer trust and purchasing decisions on Tokopedia. Additionally, this study also aims to examine the mediating role of consumer trust in the relationship between the variables of service quality, security, price perception, and purchase decisions. The research was conducted in Yogyakarta using the snowball sampling method to select a sample of Tokopedia customers. A total of 250 respondents participated in the study. Data collection was carried out through questionnaires using a Likert scale of 1-5. Data analysis was performed using the Partial Least Squares (PLS) method with Smart PLS 3.3. 3 software. The results showed that the security variable and price perception significantly influenced consumer trust, while service quality had a significant negative relationship with purchasing decisions. However, the variables of service quality, security, and price perception did not have a significant influence on purchasing decisions. Consumer trust was found to mediate the effects of security and price perception on purchasing decisions, but it was unable to mediate the effect of service quality. Overall, Tokopedia needs to improve communication regarding service quality, ensure a high level of security, consider other factors that influence purchasing decisions, and continue to build consumer trust.
Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications

Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR produces highly accurate 3D point clouds, which are vital for the detection, classification, and tracking of multiple targets. A systematic review and classification of various clustering and Multi-Target Tracking (MTT) techniques are necessary due to the inherent challenges posed by LiDAR data, such as density, noise, and varying sampling rates. As part of this study, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was employed to examine the challenges and advancements in MTT techniques and clustering for LiDAR point clouds within the context of autonomous driving. Searches were conducted in major databases such as IEEE Xplore, ScienceDirect, SpringerLink, ACM Digital Library, and Google Scholar, utilizing customized search strategies. We identified and critically reviewed 76 relevant studies based on rigorous screening and evaluation processes, assessing their methodological quality, data handling adequacy, and reporting compliance. As a result of this comprehensive review and classification, we were able to provide a detailed overview of current challenges, research gaps, and advancements in clustering and MTT techniques for LiDAR point clouds, thus contributing to the field of autonomous driving. Researchers and practitioners working in the field of autonomous driving will benefit from this study, which was characterized by transparency and reproducibility on a systematic basis.
Embedded Real-Time Video Surveillance System based on Multi-Sensor and Visual Tracking

: This Paper describes the design and implementation of an embedded remote video surveillance system for general purposes security application. The proposed system is able to detect and report vandalism, tampering, and theft activities before they take place via SMS, Email or by a phone call. The system has been enriched with a vast range of sensors to increase its sensing capability of different types of attacks. Moreover, the proposed system has been enhanced by adding a visual veriﬁcation technique to overcome false alarms generated by sensors, where a video camera is integrated within the system software to capture video footage, verify, and track the abnormal events taking into consideration bandwidth consumption and real-time processing. Finally, the system was implemented using SBC (Raspberry Pi) as a working platform supported by OpenCV and Python as a programming language. The results proved that the proposed system can achieve monitoring and reporting in real-time. Where the average processing time speciﬁed to complete all the required tasks for each frame (starting from video source to broadcasting stage) does not exceed 64%. Moreover, the proposed system achieved a reduction in the utilized data size as a result of using image processing algorithms, reaching an average of 91%, which decreased the amount of transferred data to an average of 13.4 Mbit/sec and increased the bandwidth efﬁciency to an average of 92%. Finally, this system is characterized by being ﬂexible, portable, easy to install, expandable and cost-effective. Therefore, it can be considered as an efﬁcient technology for different monitoring purposes.
Evolution of the Boson gas at zero temperature: Mean-field limit and second-order correction

A large system of N integer-spin atoms, called Bosons, manifests one of the most coherent macroscopic quantum states known to date, the “Bose-Einstein condensate”, at extremely low temperatures. As N → ∞, this system is usually described by a mean-field limit: a single-particle wave function, the condensate wave function, that satisfies a nonlinear Schrödinger-type equation. In this expository paper, we review kinetic aspects of the mean-field Boson evolution. Furthermore, we discuss recent advances in the rigorous study of second-order corrections to this mean-field limit. These corrections originate from the quantum-kinetic mechanism of pair excitation, which lies at the core of pioneering works in theoretical physics including ideas of Bogoliubov, Lee, Huang, Yang and Wu. In the course of our exposition, we revisit the formalism of Fock space, which is indispensable for the analysis of pair excitation.
Opérateurs d'évolution, comparaison de solutions, perturbations et approximations

We compare the solvability (and solutions) of the linear time-dependent evolution problems in the generalized space-time context, with the solvability and solutions (in the weak sense, or strong sense) in the usual context (Kato theory). We study the evolution operators, weak, strong, strong W 1. ∞ , and related perturbations and approximations, mainly in connection with the existence of weak evolution operators associated to a family {A(t)} t∈[S,T] On compare la resolubilite (et les solutions) des problemes d'evolution lineaires dependants du temps en contexte generalise espace-temps, avec la resolubilite et les solutions (au sens faible, ou fort) dans le contexte usuel (theorie de Kato). On etudie les operateurs d'evolution faibles, forts et forts W 1,∞ , et leurs perturbations et approximations, surtout en relation avec l'existence d'operateurs d'evolution faibles associes a une famille {A(t)} t∈[S,T]
Effects of Variable Resistance Training on Kinetic and Kinematic Outcomes during a Heavy Conventional Deadlift

Variable Resistance Training (VRT), loading elastic band tension on a barbell, has shown improvements in force, power, and velocity. Studied extensively in the squat and bench press, VRT is less researched in the context of the deadlift. Additionally, while no acute VRT deadlift studies exist where intensity was ≥ 90% 1- RM, some heavy VRT studies suggest that at approximately 90% 1-RM, less band tension (BT) is required to enhance force and power than seen at lower intensities in existing research. Therefore, the purpose of this study was to determine the effects of VRT on peak relative vertical ground reaction force (VGRF), average and peak velocity, and time of peak force (VGRF time), in heavy, traditional deadlifts. METHODS: Seven resistance trained, college-aged males were recruited for this study. Over the course of approximately eight weeks, subjects completed five training sessions including familiarization, and testing the deadlift at 90% 1-RM with no bands (NB), 10%BT, 20%BT, or 30%BT. All training sessions were performed on dual force plates and with a linear position transducer to determine kinetic and kinematic outcomes. RESULTS: There were significant differences between conditions for both peak [F (3,18) = 13.607, p VGRF time [F (3, 12) = 1.843, p= 0.193]. PRACTICAL APPLICATIONS: The results of this study suggest velocity is improved with 20% to 30%BT when deadlifting approximately 90% 1-RM. For maximum force, traditional, NB deadlifts might be optimal considering the lack of improvement with the addition of bands. Despite the lack of significance between conditions, the large relative percent decrease in VGRF time from NB to 10%BT suggests that this small amount of BT may be advantageous for rapid force development with heavy loads
A Method to Handle Zero Counts in the Multinomial Model

ABSTRACT In the context of an objective Bayesian approach to the multinomial model, Dirichlet(a, …, a) priors with a < 1 have previously been shown to be inadequate in the presence of zero counts, suggesting that the uniform prior (a = 1) is the preferred candidate. In the presence of many zero counts, however, this prior may not be satisfactory either. A model selection approach is proposed, allowing for the possibility of zero parameters corresponding to zero count categories. This approach results in a posterior mixture of Dirichlet distributions and marginal mixtures of beta distributions, which seem to avoid the problems that potentially result from the various proposed Dirichlet priors, in particular in the context of extreme data with zero counts.
Analysis of Rigid-Flexible Coupling Characteristics of Pneumatic Modular Soft Joints with Variable Stiffness

This paper proposes a new pneumatic modular joint to address the problem of balancing compliance and load-bearing capacity for soft robots. The joint possesses characteristics that allow for omnidirectional deformation and dynamically adjustable stiffness. In this study, mathematical models were established to describe the deformation and stiffness variability of the joint. Corresponding relationships between gas pressure and deformation and magnetic field strength and module stiffness were derived through numerical analysis. Finite element simulations were conducted to investigate the changes in pressure and deformation under different stiffness conditions and the changes in magnetic field strength and joint stiffness under various deformation states. Finally, experimental validation was performed to verify the theoretical calculations and simulation results, demonstrating excellent coupling characteristics between stiffness and compliance for the proposed joint.
Cognitively-Active Speaker Normalization Based on Formant-Frequency Scaling Estimation

The acoustic characteristics associated with a vowel category may vary greatly when produced by different speakers. Despite this variation, human listeners are typically able to identify vowel sounds with a good degree of accuracy. One approach to this issue is that listeners interpret vowel sounds relative to what might be expected for a given speaker, a theory known as speaker normalization. This thesis comprises three experiments meant to test specific aspects of a theory of speaker normalization that is under active cognitive-control on the part of the listener, where the information used by the process is organized around the detection of speaker changes. The first experiment investigates the role of f0 in vowel perception, with results indicating that f0 primarily affects vowel quality by influencing the listener’s expectations regarding the speaker. In the second experiment, the interaction between the detection of speaker changes and the perception of vowel quality is investigated. Findings support the notion that the detection of speaker changes is a central component of speaker normalization, and that speaker normalization is a cognitively-active process. In the third experiment, listeners were trained to report the acoustic correlate associated with increases or decreases to the average formant frequencies produced by a voice (i.e., formantfrequency scaling). Results indicate that listeners are able to identify voices that differ on the basis of this parameter with good accuracy, and that the perceptual correlate of formant-frequency scaling is influenced by the fundamental frequency of vowel sounds. Finally, a model of cognitively-active speaker normalization, the Active Sliding Template Model (ASTM), is introduced. The ASTM predicts vowel quality on the basis of a speaker-specific representation that is refined in the absence of a detected speaker change, and re-estimated when a speaker change is detected. An implementation of this model was used to simulate the results of Experiments 1 and 2. The results of these simulations indicate that this relatively simple model of cognitively-active speaker normalization is able to generate a range of patterns of results similar to those observed for human listeners.
Guided Cash Payout Policy and Firm Value: Evidence from China

This study considers the “Guidelines for Cash Dividend Distribution of SSE-Listed Companies” (the “Guidelines”) issued by the Shanghai Stock Exchange (SSE) in January 2013 as an exogenous shock to corporate payout policy and assesses the effect of cash dividends on stock performance. The authorities believe that urging firms to pay out no less than 30% of their annual earnings is attractive to outside investors; however, the study results show that, whereas firms raising dividends to meet the level of payouts in the SSE’s “Guidelines” may gain superior valuation relative to the counterparts in the short term, this effect does not exist in the middle term. In addition, young, growing companies and startups that follow the policy suffer from downsized financial slack and future corporate investment levels. The results contribute to the literature on corporate payout policy and financial liberalization and indicate policy implications for the government of China and SSE-listed firms.
Mattress Sensor-Based Respiration Rate Estimation Using Unsupervised Clustering

This paper presents a novel approach for measuring the human respiration rate utilizing a mattress sensor. The proposed method employs an unsupervised clustering technique in conjunction with a cluster selection algorithm to accurately measure the respiration rate. The pressure exerted on the mattress sensor reflects the volume changes in the upper body during the breathing process, enabling the estimation of the respiration waveform based on the measured pressure variations. Through the clustering method, the measured pressure changes are effectively separated into respiratory-related clusters and noise. Subsequently, the cluster selection algorithm identifies the optimal combination of clusters that best represents the respiration pattern. To evaluate the performance of the proposed method, it was compared against two alternative methods, namely RWD and RAC. The results demonstrate that the proposed method, referred to as RCS, achieved the highest mean Pearson correlation coefficient of 0.88, indicating superior performance compared to the other methods. In contrast, the mean Pearson correlation coefficients for RWD and RAC were determined as 0.61 and 0.76, respectively. Statistical analysis confirmed the significance of the differences among these methods (p < 0.001). Furthermore, a regression analysis was conducted to assess the accuracy of the respiration rate measurements. The findings revealed that the proposed method yielded the most precise estimation of the respiratory rate.
Tensors of Rank Two in Tensor Flight Dynamics

Tensor flight dynamics solves flight dynamics problems using Cartesian tensors, which are invariant under coordinate transformations, rather than Gibbs’ vectors, which change under time-varying transformations. Three tensors of rank two play a prominent role and are the subject of this paper: moment of inertia, rotation, and angular velocity tensor. A new theorem is proven governing the shift of reference frames, which is used to derive the angular velocity tensor from the rotation tensor. As applications, the general strap-down INS equations are derived, and the effect of the time-rate-of-change of the moment of inertia tensor on missile dynamics is investigated.
Recognition of multiple partial discharge patterns by multi‐class support vector machine using fractal image processing technique

Partial discharge (PD) measurement is an efficient method for condition monitoring of insulation in high-voltage (HV) power apparatus. Generally, phase-resolved PD (PRPD) patterns are commonly used to identify the PD sources. It is clearly recognised that there is a correlation between the PD patterns and the insulation quality. However, in the case of multiple PDs, the PRPD patterns partially overlapped in nature, which results in difficult to identify the types of partial discharges. In this proposed methodology, a combined algorithm of different edge detection methods with box-counting fractal image compression technique is used for fractal feature extraction. The extracted features used as the input vector for the classifiers for PD recognition. To evaluate the performance of the proposed methodology, artificially multiple PD sources are simulated in HV laboratory. The result of this proposed work shows better recognition for canny edge detected fractal features implemented with user define kernel multi-class nonlinear support vector machine which can be further used to assess the insulation properties for practical implementation in power industry.
Strategic Formulation Analysis of Business Development of PT Mega Power Surya (A Subsidiary of PT Mega Power Teknindo)

PT Mega Power Surya (MPS) is a subsidiary of PT Mega Power Teknindo (MPT) which is engaged in Renewable Energy, especially the Procurement of Goods and Services for Surya Power Generation as a business diversification of the Company PT Mega Power Teknindo. The main purpose of establishing PT MPS is to take advantage of promising business opportunities in expanding PT MPT's business in the field of Renewable energy on the basis of the encouragement of the Presidential Regulation RUEN, Minister of Energy and Mineral Resources and Local Government (RUED) and RUPTL, sustainable energy factors, Go Green and responding to the increase in electricity rates from PLN so that consumers who use electricity will be interested in using surya power plants, namely using natural resources that never run out even though they are used continuously and it is hoped that the price of electricity for consumers will be cheaper using Surya energy compared to fully using electrical energy from PLN. Companies need to plan strategies and conduct business model analysis. The strategy method uses the Value Proposition Canvas, IFE, EFE, VRIO, CPM, SWOT, IE Matrix, QSPM, Porter's Generic Strategy, and Lean Model Business Canvas. The results of this analysis can help in identifying the appropriate business model. With the right strategy and business model, it will enable the newly created company to become a competitive and sustainable company. Using Value Proposition Canvas, EFE, IFE, VRIO, CPM, SWOT, IE, QSPM, Porter's Generic Strategy, and Lean Business Model Canvas. This analytical method helps in determining the right business strategy for PT. Mega Power Surya.
A Novel Active Device for Shoulder Rotation Based on Force Control

This article describes a one-degree-of-freedom haptic device that can be applied to perform three different exercises for shoulder rehabilitation. The device is based on a force control architecture and an adaptive speed PI controller. It is a portable equipment that is easy to use for any patient, and was optimized for rehabilitating external rotation movements of the shoulder in patients in whom this was limited by muscle–skeletal injuries. The sample consisted of 12 shoulder rehabilitation sessions with different shoulder pathologies that limited their range of shoulder mobility. The mean and standard deviations of the external rotation of shoulder were 42.91 ± 4.53° for the pre-intervention measurements and 53.88 ± 4.26° for the post-intervention measurement. In addition, patients reported high levels of acceptance of the device. Scores on the SUS questionnaire ranged from 65 to 97.5, with an average score of 82.70 ± 9.21, indicating a high degree of acceptance. The preliminary results suggest that the use of this device and the incorporation of such equipment into rehabilitation services could be of great help for patients in their rehabilitation process and for physiotherapists in applying their therapies.