Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of High Intensity Interval Training During Eight Weeks on Speed, Agility, and Acceleration in U19 Soccer Players

Aim: The aim in this study was to examine the impact of eight-week high-Intensity interval training on speed, agility, and acceleration under 19 (U19) soccer players. Materials and methods: Healthy 22 soccer players from Anadolu Selçukspor U19 football team, one of the 2nd League teams of Turkish Football Federation (TFF), participated voluntarily in this study. The soccer players taking part in the study were separated randomly into two as the experimental and control groups. It was determined that the age average of the players constituting the experimental group was 18.36±0.51 years, their height average was 1.77±0.06 m, and their body weight average was 71.76±6.52 kg while the control group’s age average was 17.55±0.69 years, height average was 1.76±0.04 m, and body weight average was 70.85±5.40 kg. In the study, the soccer players forming the experimental group attended a high-intensity interval training program three days a week for eight weeks, in addition to their regular training. The players of the control group continued their normal training schedule. The soccer players taking part in the study are the players who practice five days a week and play one official match. Results: In this study, through the comparison of the values of the pre-test and post-test regarding the speed and acceleration property of the soccer players of the experimental group, it was found that their post-test values were better (p<0.05). In terms of their agility property, an improvement of pro-rata 0.008 was seen in the experimental group, while the improvement of the control group took place at the proportion of 0.004 (p<0.05). Conclusion: It has been observed that 8-week high-intensity interval training is statistically significant in the speed and acceleration of soccer players. We contemplate that the inclusion of the high-intensity interval training within the annual training schedule in the field of soccer will affect the performance of the soccer players during the season more positively. Keywords: Agility, Soccer; Interval Training, Acceleration, Speed
Parameter analysis and optimization of paper feeding devices to minimize jamming and simultaneous feeding of multiple pages

This article investigates an optimal design for a paper-feeding system that minimizes both jamming and simultaneous feeding of multiple papers, hereafter referred to as the multi-feeding rate. A total of 11 design parameters for the paper transfer device, the paper separation device, and the paper guide path are selected and analysed in this study. A test jig for feeding and transferring papers is manufactured to obtain experimental data for use in parameter analysis and design optimization. Back-propagation neural network-based causality analysis is employed to extract five dominant variables among 11 design parameters, and the results of causality analysis are compared with sensitivity results obtained from the analysis of means in the context of experimental design. Five-variable, second-order polynomial based approximate meta-models for jam rate and multi-feeding rate are then constructed, and numerical optimization is performed using NSGA-II, a non-dominated sorting genetic algorithm. Finally, two numerical Pareto optimal solutions are verified via experimental testing.
Machine Learning on Beam Lifetime and Top-Up Efficiency

Both unsupervised and supervised machine learning techniques are employed for automatic clustering, modeling and prediction of Advanced Photon Source (APS) storage ring beam lifetime and top-up efficiency archived in operations. The naive Bayes classifier algorithm is developed and combined with k-means clustering to improve accuracy, where the unsupervised clustering of APS beam lifetime and top-up efficiency is consistent with either true label from data archive or Gaussian kernel density estimation. Artificial neural network algorithms have been developed, and employed for training and modelling the arbitrary relations of beam lifetime and top-up efficiency on many observable parameters. The predictions from artificial neural network reasonably agree with the APS operation data.
Riboflavin mediated photo-illumination for bonding zirconia to tooth structure

ABSTRACT To formulate and characterize RF-loaded mesoporous silica nanoparticles (RF@MSN) in adhesive for bonding zirconia ceramic to tooth for potential application in crowns and bridge restorations. RF was loaded inside MSN to produce RF@MSN and doped with adhesive resin. Morphological and spectral characterization of the nanoparticles were studied. RF@MSN in adhesive with two varying concentrations (0.25wt.% and 0.5 wt.%) were studied for the degree of conversion (DC), antimicrobial activity, cytotoxicity, and shear bond strength (SBS) after luting zirconia to tooth dentin samples. After activation with a diode laser, 0.5 wt. % RF@MSN samples showed the least DC scores (39.56 ± 5.54), while the highest SBS scores (1018 ± 78 MPa) were reported by control group. 0.5 wt. % RF@MSN samples showed the highest antimicrobial capacity for adhesive against Streptococcus mutans. Incorporation of RF@MSN in dentin adhesive showed improved mechanical and antibacterial efficacy after photo illumination after bonding zirconia to the tooth structure.
Utilization of the Tiktok Video Application as a Means of Showing Existence And Self-Disclosure of Teenagers on Social Media

Along with the rapid development of technology, the current use of social media by the community is also increasing. One of the social media that is currently on the rise is the TikTok application. TikTok application users come from various backgrounds and ages, including teenagers. Video-based TikTok features accompanied by music, writing, and pictures are considered attractive so that they are liked by teenagers as a means of showing their existence and self-disclosure. TikTok is also currently developing as a way to share information. The theory applied by the researcher was Alman and Taylor's Social Penetration Theory. In addition to such theory, this paper are supported and strengthened by the concepts of Self-Disclosure, Social Media, Teenagers, TikTok, and also Self-Existence. This paper was a qualitative descritpive study which applied a qualitative study method. This paper involved several informants namely teenagers who were also the users of the TikTok application. The inclusion criteria here were teenagers who had a TikTok account, were active on TikTok, and used TikTok as part of their existence and self-disclosure. The results of this study explored the process of self-disclosure and also the existence carried out by the informants in accordance with the stages proposed in the social penetration theory. Informants passed through the stages of self-disclosure sequentially from the orientation stage to the stable stage so that the existence of teenagers in presenting themselves on social media could be observed.
Near-Infrared Laser System for Dielectric Laser Acceleration Experiments at SINBAD

The technique of dielectric laser acceleration (DLA) utilizes the strong field gradients generated by intense laser light near the surfaces of microscopic photonic structures, possibly allowing compact accelerator devices. We report on the 2 μm laser system at the SINBAD facility at DESY, where first experiments of Dielectric Laser Acceleration (DLA) with relativistic electrons pre-accelerated by the ARES linear accelerator started in late 2020. We constructed a low-noise Holmium fiber oscillator producing pulses at a wavelength of 2050 nm, seeding a Ho:YLF regenerative amplifier. Pulses of 2 mJ and 2 ps duration from the amplifier are transported over a distance of about 30 m to the DLA interaction point. To ensure timing overlap between the electrons and the laser pulses, the laser system is synchronized to the accelerator RF.
B6HF: A 0.8 micron 25GHz/25ps bipolar technology for "Mobile radio" and "Ultra fast data link" IC-products

A 0.8 micron bipolar technology is presented featuring >25 GHz cutoff-frequency at VBC = 0 and 25 ps at 1.2 mA and 70 ps at 100 /spl mu/A CML gate-delay times. Numerous additional devices are offered to allow for a broad variety of competitive applications ranging from telecom to consumer IC products realized by either fullcustom or semicustom design style.
A nonlinear model for ionic polymer metal composites as actuators

This paper introduces a comprehensive nonlinear dynamic model of motion actuators based on ionic polymer metal composites (IPMCs) working in air. Significant quantities ruling the acting properties of IPMC-based actuators are taken into account. The model is organized as follows. As a first step, the dependence of the IPMC absorbed current on the voltage applied across its thickness is taken into account; a nonlinear circuit model is proposed to describe this relationship. In a second step the transduction of the absorbed current into the IPMC mechanical reaction is modelled. The model resulting from the cascade of both the electrical and the electromechanical stages represents a novel contribution in the field of IPMCs, capable of describing the electromechanical behaviour of these materials and predicting relevant quantities in a large range of applied signals. The effect of actuator scaling is also investigated, giving interesting support to the activities involved in the design of actuating devices based on these novel materials. Evidence of the excellent agreement between the estimations obtained by using the proposed model and experimental signals is given.
Novel Magnetron Operation and Control Methods for Superconducting RF Accelerators

High power magnetrons designed and optimized for industrial heating, were suggested to power (in injection-locked mode) superconducting RF cavities for accelerators due to lower cost and higher efficiency. However, standard operation methods do not provide high efficiency with wideband control suppressing microphonics. We have developed and experimentally verified novel meth-ods of operating and controlling the magnetron that provide stable RF generation with higher efficiency and lower noise than other RF sources. By our method the magnetrons operate with the anode voltage notably lower than the self-excitation threshold improving its performance. A magnetron operating with the anode voltage below the self-excitation threshold, in so-called stimulated coherent generation mode has special advantage for pulse regime without a modulation of the cathode voltage. This eliminates the need for expensive pulsed HV modulators and additionally increases the magnetron RF source efficiency due to absence of losses in HV modulators.
Comprehensive Study of Side-Channel Attack on Emerging Non-Volatile Memories

Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. However, these memories bring new threats to data security. In this paper, we investigate their vulnerability against Side Channel Attack (SCA). We assume that the adversary can monitor the supply current of the memory array consumed during read/write operations and recover the secret key of Advanced Encryption Standard (AES) execution. First, we show our analysis of simulation results. Then, we use commercial NVM chips to validate the analysis. We also investigate the effectiveness of encoding against SCA on emerging NVMs. Finally, we summarize two new flavors of NVMs that can be resilient against SCA. To the best of our knowledge, this is the first attempt to do a comprehensive study of SCA vulnerability of the majority of emerging NVM-based cache.
Increasing Risk of Ecological Change to Major Rivers of the World With Global Warming

The hydrological characteristics of a river, including the magnitude and timing of high and low flows, are important determinants of its ecological functioning. Climate change will alter these characteristics, triggering ecological changes in river ecosystems. This study assesses risks of ecological change in 321 major river basins across the globe due to global warming relative to pre‐industrial conditions of 1.0, 1.5, 2.0 and 3.0°C. Risks associated with climate‐driven changes to high and low flows, relative to baseline (1980–2010; 0.6°C warming), are investigated using simulations from nine global hydrological models forced with climate projections from five global climate models, resulting in an ensemble of 14,445 baseline‐scenario members for each warming scenario (9 × 5 × 321). At the global‐scale, the likelihood of high risks of significant ecological change in both high and low flows increase with global warming: across all basins there is a medium‐high risk of change in high (low) flows in 21.4% (22.4%) of ensemble members for 1.0°C warming, increasing to 61.5% (63.2%) for 3.0°C. Risks are particularly pronounced for low flows at 3.0°C for many rivers in South America, southern Africa, Australia, southern Europe and central and eastern USA. Results suggest that boreal regions are least likely to see significant ecological change due to modified river flows but this may be partly the result of the exclusion of processes such as permafrost dynamics from most global hydrological models. The study highlights the ecological fragility and spatial heterogeneity of the risks that unmitigated climate change poses to global river ecosystems.
Magnetically suspended balance beam with disturbances: a test rig for non-linear output regulation

This paper presents an experimental test rig for non-linear output regulation. This experimental setup consists of a beam free to rotate on a pivot at its centre of mass, and stabilised by two active electromagnets located at each end of the beam. The rotation of the beam is measured by a non-contacting displacement sensor. A motor with unbalance weight is mounted on a track on top of the beam. This mounted motor serves as an exosystem in the problem of output regulation. By moving the motor position along the track and adjusting the motor rotational speed, constant and sinusoidal disturbances of different frequencies and magnitudes can be imposed on the system to test controllers. The input output characteristics of the active electromagnets are non-linear and are difficult to be determined precisely. The air gaps between the beam and the electromagnets are narrow. These properties of the setup make it a good platform for testing non-linear output regulation controllers, including robust output regulatio.
LEAN AND VIRGINIA’S WOOD INDUSTRY – PART II: RESULTS AND NEED FOR SUPPORT

This two-part publication about Lean practices by Viriginia’s wood products and furniture manufacturing industries reports results from researching the awareness, the implementation status, the business results, and the need for external implementation support of Virginian companies. This second manuscript focuses on business results and the need for external implementation support. Except for “sales per employee,” where less than half of respondents reported an improvement due to the implementation of Lean in their operation, a majority of respondents indicated improved business results for “lead time,” “on-time delivery,” “inventory turnover,” and “cost per unit. ” With respect to the need for external Lean implementation support, only 23 percent of respondents answered in the affirmative. “Training management," “training shop floor employees,” and “implementing [Lean] with extensive employee involvement” were, with 67, 58, and 48 percent frequencies, the most often named forms of Lean implementation support requested. Results from this study seem to indicate an opportunity to support the well-being of Virginia’s wood products and furniture manufacturing industries through improved communication of the benefits of Lean and offering specific types of training to companies.
Characterization of Process Variability in Construction

AbstractVariability is a major problem in construction projects. It can negatively affect performance and disrupt production. In the past two decades, a considerable amount of research has been undertaken to select a suitable statistical model that can accurately model this variability. Although the beta distribution has achieved extensive acceptance to model process durations in construction, certain production situations can constrain its modeling capabilities. The limitations are apparent when a coefficient of variation associated with the process variability is higher than 100%. The aim of this research is to explore a reliable probability distribution function that can model the situations in which the beta distribution is not suitable. Data from 73 construction samples corresponding to 25 projects from three different countries were analyzed as a case study by using statistical inference techniques and stochastic simulation. The main finding from this research shows that the Burr distribution was a .
Active Separation Control over a NACA0024 by DBD Plasma Actuator and FBG Sensor

Dielectric barrier discharge plasma actuators (DBD-PA) and fiber Bragg grating (FBG) sensors have been investigated for active control of flow separation around a NACA0024 airfoil. Tangential jets were produced in the vicinity of the DBD-PA slightly aft of the leading edge of the airfoil. The flow separation control ability was evaluated at low Reynolds number in an open-circuit wind tunnel. Phase- and time-averaged velocity distributions around the airfoil were measured using Particle Image Velocimetry, and the flow separation control ability of the DBD-PA was assessed at 8°, 12° and 16° angle of attack. An FBG sensor was attached to a chord-wise cantilever near the trailing edge of the airfoil on the pressure surface. This was used to measure strain fluctuations in the cantilever root due to flow-induced oscillations. The feasibility of this system to detect flow separation was studied, where the standard deviations of strain fluctuations significantly increased when the flow was separated. This was utilized in an open-loop control system to detect flow separation by FBG then apply active control with the DBD-PA to reattach the flow.
Exploration of the Role of Digital Literacy in Refugee Migration and Resettlement

Objective: To explore the role of digital literacy on refugees as they resettle in Edmonton, Canada, and identify supports to help them in overcoming gaps in education, employment and strong community support systems. Methods: This study used a qualitative research method in a case study approach. Thirty two participants enrolled in digital literacy training programs at the Multicultural Health Broker Society (MCHB) and the United Cultures of Canada Association (UCCA) participated in a focus group discussion between June 18 and July 11, 2021. The focus group discussion focused on experiences with digital literacy, exposure to technology prior to migrating to Canada, experience with technology after migration, exposure of technology within the household, and journey in digital literacy with respective educational training (UCCA or MCHB). Using the data obtained from the participants’ responses, a content analysis was completed to examine patterns, similar struggles, and resolutions. Results: The results gathered from the qualitative focus group were compartmentalized in the following categories: Overview of Participants, Experience and Exposure to Technology Prior To Migration (to Canada), Experience and Exposure to Technology After Migration (to Canada), Experience with Digital Literacy Training Program, Building Blocks For Successful Integration. These responses gathered from the focus groups brought to light many of the struggles and strengths of refugees and immigrants that can sometimes go unnoticed. Conclusion: The findings of this study suggest that digital literacy has the ability to affect refugees resettling in Canada in positive and negative ways, depending on the following factors: exposure to digital technology and access to digital tools, level of language literacy, and strength Exploration of the Role of Digital Literacy in Refugee Migration and Resettlement 4 of support systems. Data also revealed that digital technologies can be leveraged to support refugees in learning, finding employment in their new country, and creating connections with new support systems.
Using Machine Learning to Improve Dynamic Aperture Estimates

The dynamic aperture (DA) is an important concept in the study of nonlinear beam dynamics. Several analytical models used to describe the evolution of DA as a function of time, and to extrapolate to realistic time scales that would not be reachable otherwise due to computational limitations, have been successfully developed. Even though these models have been quite successful in the past, the fitting procedure is rather sensitive to several details. Machine Learning (ML) techniques, which have been around for decades and have matured into powerful tools ever since, carry the potential to address some of these challenges. In this paper, two applications of ML approaches are presented and discussed in detail. Firstly, ML has been used to efficiently detect outliers in the DA computations. Secondly, ML techniques have been applied to improve the fitting procedures of the DA models, thus improving their predictive power.
A Novel Inductor for Stabilizing the DC Link of Adjustable Speed Drive

The DC-link filter which includes a magnetic inductor and a storage capacitor is one of the key parts of adjustable speed drives in the market. It significantly affects the stability, reliability, and power density of the motor-drive system. This paper proposes a novel, variable active inductor to improve the performance of DC links in terms of stability, reliability, size, and cost. In contrast to conventional DC-link magnetic inductors, the variable active inductor is made of power electronic circuits, including active switches, passive filters, and smart controllers, which no longer rely on magnetic material. The demonstration shows that the inductor can emulate the electrical characteristics of the magnetic inductor for filtering harmonics and stabilizing the DC link, meanwhile representing a smaller size, lighter weight, and lower cost compared with a conventional one. Furthermore, this paper proposes a variable inductance control method which is able to adaptively tune the inductance value with the operating conditions of the drive system. The DC link can be stabilized, and high performance can be maintained in both balanced and unbalanced grid voltage conditions. A case study of the proposed variable inductor in a motor drive with a three-phase diode-bridge rectifier as the front end is discussed. Experimental results are given to verify the functionality and effectiveness of the proposed variable inductor.