bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mediating role of prosocial and antisocial behaviors between team trust and sport commitment in college basketball players
Authors: Tsai Chi‐Lun , Ju Jie , Chen Zuosong 
Published: August 2021

ABSTRACTConsidering the popularity and particularity of basketball, the athletes face a potential “Sport Commitment Crisis” due to immense pressures from academics, training, employment, and college. To date, research in sports has demonstrated the relationship between coach trust and sport commitment; however, the relationship among teammates is yet to be explored. We examined whether teammate trust is related to commitment and if prosocial and antisocial behaviors mediate these relationships. Right before a game, the college basketball players (N = 570) were asked to complete a multi‐section questionnaire measuring the aforementioned variables. Structural equation modeling (SEM) revealed that athletes’ perceptions of their teammates’ trust were positively related to their sport commitment, and these relationships were mediated by teammate prosocial behavior. In contrast, antisocial behavior did not affect their relationship. The findings suggest that teammate trust could facilitate sport commitment in athletes, which could occur via prosocial behavior.HighlightsCurrent college athletes face multiple pressures such as academics, sports training, and future employment, which cause their continuous participation in sports training and competitions to be shaken, resulting in a decline in sport commitment. This study starts from the perspective of team atmosphere and peer behavior, and selects college basketball players on a large scale in China, because basketball is popular among Chinese college students and has brought greater social attention. In the process of playing basketball, the interaction between members is high, and the emotional factor with teammates is even more important. Therefore, the choice of research participants is also one of the advantages of this paper.
Plasmonic gratings from highly doped Ge1−y
Sn
y
films on Si
Authors: Berkmann Fritz , Ayasse Markus , Schlipf Jon , Mörz Florian , Weißhaupt David , Oehme Michael , Prucnal Slawomir , Kawaguchi Yuma , Schwarz Daniel , Fischer Inga Anita , Schulze Jörg 
Published: August 2021

Abstract
Plasmonic modes in metal structures are of great interest for optical applications. While metals such as Au and Ag are highly suitable for such applications at visible wavelengths, their high Drude losses limit their usefulness at mid-infrared wavelengths. Highly n-doped Ge1−y
Sn
y
alloys are interesting possible alternative materials for plasmonic applications in this wavelength range. Here, we investigate the use of highly n-doped Ge1−y
Sn
y
films grown directly on Si by molecular beam epitaxy with varying Sn-content from 0% up to 7.6% for plasmonic grating structures. We compare plasma wavelengths and relaxation times obtained from electrical and optical characterization. While theoretical considerations indicate that the decreasing effective mass with increasing Sn content in Ge1−y
Sn
y
films could improve performance for plasmonic applications, our optical characterization results show that the utilization of Ge1−y
Sn
y
films grown directly on Si is only beneficial if material quality can be improved.
A stiffness compensated piezoelectric energy harvester for low-frequency excitation
Authors: van de Wetering E , Blad T W A , van Ostayen R A J 
Published: August 2021

Abstract
In this work, a stiffness compensated piezoelectric vibration energy harvester is modelled and tested for low-frequency excitations and large input amplitudes. Attracting magnets are used to introduce a negative stiffness that counteracts the stiffness of the piezoelectric beam. This results into a nearly statically balanced condition and makes the harvester a nonresonant device. A distributed parameter model based on modal analysis is used to model the output of the energy harvester. This model is extended by including the negative stiffness, endstop mechanics and force-displacement data to the model. The peak RMS power amounts 1.20 mW at 9 Hz and 3 g input acceleration. These are large inputs and serve to illustrate the case of having inputs larger than the device length. Furthermore, to benchmark the energy harvester in this work, the efficiency is evaluated in terms of generator figure of merit and is compared to prior art. This peak efficiency amounts to 0.567%, which is relatively large for its range of excitation. From the output that has been obtained with this design, it can be concluded that stiffness compensation can make a piezoelectric energy harvester competitive in terms of generator figure of merit at low-frequency excitation with input amplitudes exceeding the device length.
Constraints on the properties of warm dark matter using the satellite galaxies of the Milky Way
Authors: Newton Oliver , Leo Matteo , Cautun Marius , Jenkins Adrian , Frenk Carlos S. , Lovell Mark R. , Helly John C. , Benson Andrew J. , Cole Shaun 
Published: August 2021

Abstract
The satellite galaxies of the Milky Way (MW) are effective probes of the underlying dark matter (DM) substructure, which is sensitive to the nature of the DM particle. In particular, a class of DM models have a power spectrum cut-off on the mass scale of dwarf galaxies and thus predict only small numbers of substructures below the cut-off mass. This makes the MW satellite system appealing to constrain the DM properties: feasible models must produce enough substructure to host the number of observed Galactic satellites. Here, we compare theoretical predictions of the abundance of DM substructure in thermal relic warm DM (WDM) models with estimates of the total satellite population of the MW. This produces conservative robust lower limits on the allowed mass, m
th, of the thermal relic WDM particle. As the abundance of satellite galaxies depends on the MW halo mass, we marginalize over the corresponding uncertainties and rule out m
th ≤ 2.02 keV at 95 percent confidence independently of assumptions about galaxy formation processes. Modelling some of these — in particular, the effect of reionization, which suppresses the formation of dwarf galaxies — strengthens our constraints on the DM properties and excludes models with m
th ≤ 2.02 keV in our fiducial model. We also find that thermal relic models cannot produce enough satellites if the MW halo mass is M
200 ≤ 0.6 × 1012
M
☉, which imposes a lower limit on the MW halo mass in CDM. We address several observational and theoretical uncertainties and discuss how improvements in these will strengthen the DM mass constraints.
Performance Analysis and Comparison of narrowband noise passing through filter types (Elliptic) and (Butterworth)
Authors: Mahdi Khafaga Ali. S. 
Published: August 2021

Abstract
This paper introduces the properties of an elliptical filter and Butterworth filter characteristics when narrowband noise passes through them, which has the same behavior in both, traffic and stop range. The amount of ripple in each band can be adjusted independently as it has a faster gain transition between the pass and stop band, so a compression has been made between elliptical and Butterworth filters response to narrowband noise in order to find a new ways to increase their immunity to noise. MATLAB Simulink Software has been used as a simulations environment.
Laser Transmission Welding is a promising joining technology technique – A Recent Review
Authors: Khayoon Marwa A. , Hubeatir Kadhim A. , Al-Khafaji Mohanned M. 
Published: August 2021

AbstractLaser transmission welding (LTW) is one of the latest evolutions in joining technology. Simply, it involves joining two similar or dissimilar materials by melting and fusing two parts at their interface using laser radiation. The upper material is transparent in order to allow the laser radiation to pass and heat the second material which is in this case an absorbent material. This technique is also known with other names such as Laser Plastic Welding, Through-Transmission Welding and Laser Assisted Metal to Polymer Joining. The developments occurred in this field have also enabled LTW to approach different Lasers like Diode Laser, CO2Laser, Nd: YAG Laser and Fiber Laser. This review aims to explain LTW process, working procedures, effect of Laser types and process parameters on this approach. It especially clarifies using LTW to weld thermoplastics materials together or with metals. It also attempts to help scholars to have an overview on LTW technique and achieve their answers related to this topic.
Remove Skin Deformities by Using CO2 and Nd:Yag Laser
Authors: Lefta Sadiq Hassan , Jaraa Ihsan , Hadi Ghufran 
Published: August 2021

Abstract
The treatment of some skin damage have been studied influence the laser beam CO2 and the Nd:Yag with wavelengths (10600nm and 1064 nm) respectively as foundation of radiation. The current research aims to verify effect of altered laser dosages of the skin in an attempt to recognize how the laser achieves medicinal effects to treat skin lesions. And the aims to establish the correlation between laser dose and biological influence and so after that calculate its low dose with higher medical influence and minimal harm to. The number of cases included four different diseases, ranging between 18-50 years. Areas of the body were exposed to laser beams and different wavelengths by type laser user. The first case, represent the image of a girl suffering from autoimmune disease, Nd:YAG laser was used with Q-swtich Nd: YAG to treat this condition and the wavelength is 1064 nm, second case, image of a person suffering from the impact. Fractional Co2 Laser and wavelength 10600 nm where used and third case: An image of a person suffering from costs, treatment by using Q-switch Nd-YAG laser short pulse has a wavelength of 1064nm.
Fresh Water Generator: A Review
Authors: Muhammed Haneen Q. , Khalifa Muhannad Z. , Owaid Abdul J. 
Published: August 2021

Abstract
This search presents a study for some types of fresh water generators FWGs, giving an overview of each type and comparing them with other types, and knowing the design criteria for different designs, as well as studying their advantages and disadvantages, including thermal desalting which types are vapor compression (VC), multi stage flash distillation (MSF), multiple effect distillation (MED), and multiple effecte evaporator, adsorption desalination, membrane distillation (MD), freezing desalination, and hydrate desalination. Then we studied the non-thermal desalination process, which includes electro-dialysis (ED), ion exchange desalination (IX), extraction desalination process, and additional types of fresh water generators FWGs.
Evaluation of the hospital’s wastewater treatment plant in basrah province
Authors: Al-Khafaji Samar A. , Al-Rekabi Wisam S. 
Published: August 2021

Abstract
This paper concentrates on evaluating the wastewater properties and performance of the hospital wastewater treatment plant (WWTP) for two hospitals in Basrah province Al-Taaleme hospital, and Al-Fayhaa hospital. Samples were collected from the WWTS influent and effluent then evaluated pollutants containing by using American Public Health Association (APHA) methods and in comparison to standard guidelines. Laboratory tests of wastewater were conducted to investigate ten parameters: chemical oxygen demand (COD), biochemical oxygen demand (BOD), PH, temperature, electric conductivity (E.C), total suspended solids (T.S.S), total dissolved solids (T.D.S), dissolved oxygen (DO) sulfate (SO4), phosphate (PO4), ammonia (NH3) and nitrate (NO3) which have been chosen to assess the quality of wastewater. The results showed that all pollutants were in compliance with the standard limit in Iraqi standard specification B1 for the year 1998, except for the NH3 results for Al-Fayhaa hospital (B), which were 12 mg/L while the standard was 10 mg/L, and COD effluent was exceeded the Iraqi standards for both hospitals Al-Taalemee hospital (A) and Al-Fayhaa hospital (B), which were 155 mg/L and 150 mg/L respectively while the standard was specified effluent by 100 mg/L, and for SO4 effluent was exceeded the Iraqi standards for both hospitals Al-Taalemee hospital (A) and Al-Fayhaa hospital (B) was 760 mg/L and 650 mg/L respectively while the standards were specified by 400 mg/L.
Comparative Analysis of Two Alloys (GTD-111 and IN-738) used in Blade of Gas Turbine Model MS9001E at South Baghdad Station
Authors: Abdulah Alaa Jasim , Khalifa Muhannad Z. , Owaid Abdul Jabbar 
Published: August 2021

AbstractBlades are one of the basic components of a gas turbine and its main function is to rotate the shaft associated with the generator motor. Gas turbine model MS9001E used power plants at south Baghdad station, the blades are subjected to harsh working conditions such as high vibration, temperatures and pressures, thus highlighting the importance of studying the materials used in Manufacture of blades that work under harsh operating conditions. In this research, stress, strain and deformation produced by the centrifugal force that the blade is subjected to be studied, as well as studying the natural frequencies of the blades. Three-dimensional was created through the program solidwork 2018 and then exported to the program ansys 2019 for analyzing. Two alloys of materials (GTD-111) and (IN-738) were analyzed and compared between them, and the results showed that alloy (GTD-11) is the best and is suitable for use in the manufacture of blades.
Study the effect of changing voltages values on MRR in the cutting process of electrical discharge machining
Authors: Aghdeab Shukry H , Abdulnabi Anwer Q 
Published: August 2021

Abstract
Electric discharge machining (EDM) is one of thermo-electric, non-conventional machining process. By EDM process can be machining of hard conductive materials which is complicated to machine by traditional machining, complicated shapes, with micro or macro removal rate. Each cutting process was controlled by several parameters, from that’s a voltages values. The aim of this work was study the effect of changing these values on material removal rate (MRR) of AISI 444 stainless steel. The EDM parameters were used in this study are voltage (140, 240) V, current Ip (12, 24, 50) A, pulse on time Ton (100, 200, 400) μs, and pulse off time Toff (3, 6.5, 12) μs. For the design of experiments, the full factorial was used to analysis the result on Minilab 19 software. The results show the (MRR) was increasing with increasing in voltage. Maximum (MRR) that be achieved is (144.2308) mm3/min at higher value of voltage, current and pulse on time.
Estimation the Performance of Gas Turbine Power Station with Air Cooling Fog System
Authors: Sh.Alnasur Fawzi , Al-Furaiji Mushtaq A. 
Published: August 2021

Abstract
The purpose of this study is to shed light on the fog system to cool the inside air to the compressor in the gas station to generate electricity. Where it mainly focused on the suitability of the fog system to the hot Iraqi climate throughout the summer period, a simulation analysis of the operation of the gas turbine unit using a fog system at an ambient temperature in the range of 25-55 °C was conducted in the southern Baghdad second station. The fog system proved to be highly effective in raising the effective power, the thermal efficiency and the effective efficiency coefficient of the gas turbine unit as well as a apparent decrease in the specific air flow rate, the specific fuel consumption and the specific heat consumption in the gas turbine unit compared to not using fog system for cooling and for the same operating conditions.
The effect of first generation biofuel on emission characteristics under variable conditions of engine speeds and loads in diesel engine
Authors: Fayad Mohammed A. , Chaichan Miqdam T. , Dhahad Hayder A. 
Published: August 2021

Abstract
Iraqi sunflower was used in the current study and blended with diesel fuel into different ratios. The results indicated that lowest level of gaseous emissions (CO, HC, and CO2) and PM produced from B100 compared with other fuels tests. Furthermore, the CO and unburnt HC decreased with high conditions of engine loads and speeds. The high concentration of NOX emissions was found from the combustion of B100, B50, and B20 compared with diesel fuel. The emissions of NOX and exhaust gas temperature improved from increasing the operating conditions of engine loads and speeds. The effect of biodiesel blends on the gaseous emissions and particulate matter (PM) was investigated under variable engine operating conditions of loads and speeds. The best reduction was achieved with medium conditions of engine loads and speeds compared with low and high loads and speeds for all fuels tests. The higher oxidation rate of soot particles inside combustion cycle from the burning of B100, B50, and B20 decreased the total concentration of PM.
Building and validation of a low-cost driving simulator
Authors: Khadeir A M , Saehood Z A , Mutar H S , Abduljabbar A S , Al-Dahwi A M , Abdulameer R H , Mohammed A A 
Published: August 2021

Abstract
This study presents the design and manufacture of a low-cost driving simulator device that achieves results comparable to advanced simulation devices with a high cost. The aim is to use it in a variety of laboratory studies to understand the behaviour and performance of the driver and vehicle and in designing the elements of the road infrastructure and using it as a driving training device. (51) participants of both genders and of different ages participated in the performance of driving experiences in the city environment scenario, where the experiment lasted (30) minutes for the purpose of evaluating the validity of the manufactured simulator by filling out a questionnaire consisting of (9) questions. The results indicate that all participants (100%) were impressed with the design of the device, the ease of use of the device’s controls (steering wheel, gearbox and pedals) and the realism of the approved driving simulation program, and by (52.9%) the simulated experience was very good. With a percentage of (96.1%), they evaluated the device between the device being (realistic - very realistic) (100%), and the participants evaluated the device on a scale of (0-100). The summary of the results is that the device has a high acceptance.
Influence of Alumina and Zinc OxideNanoparticles on The Tensile, Impact and Hardness Properties of Epoxy Nanocomposites
Authors: Al-Mansoori Raad Obaid. , Diwan Abbas Ali , Taher Ahmed A. 
Published: August 2021

Abstract
The present work investigates the effect of addition different concentration of nano Alumina (Al2O3) and nano zinc oxide (Zno) by (1%, 3%, 5%) weight fraction with epoxy as the matrix on the tensile, impact and hardness properties. Preparing the samples by using hand lay-up technique, magnatic sterrier, vacuum chamber and ultra-sonication method. The results show that there are increases in tensile strength and impact toughness at 3% Al2O3 nanoparticles (21%) and (189%) respectively compare to pure epoxy. Due to adding 3% Zno nanoparticles there are increase in tensile strength by (21%) and increase impact strength (28%) compare to pure epoxy. In addition, the hardness improved slightly when increase nanoparticles materials of both components.
Investigation of the Axial Forming Force during Low Frequency Vibration Assisted SPIF.
Authors: Nema Reham Ali , Sadoon Muthanna Hamzah , Tawfik Mauwafak Ali 
Published: August 2021

Abstract
Applied low frequency vibration in a single point incremental forming technique has recently been used. Through process of the Single-Point Incremental Forming (SPIF), the precision was affected by forming force and can cause sheet metal fracture. The magnitude of the forming forces is necessary for designing suitable models for the metal forming of the Incremental Layer. Using vibration with various values of frequency (20, 40, 60, 80, 100) Hz with amplitude (0.1mm) can decrease the forming force. It is established that the reduction rate in axial force is about (11.63%) at the frequency of (100 Hz), it is the lowest for the selection of frequencies introduced. The experimental force result has been compared with analytical solution
Design Pipeline Architecture with Fuzzy Logic
Authors: Hassan A F , Hassan Q F 
Published: August 2021

Abstract
This paper aims to design the pipeline who is considered a set of related data processing elements in a series where the result of one element is the introduction of the next one, and it can be used to increase performance and speed at the same time, and we use it in computer systems or home appliances. Increasing the voltage in the pipeline increases the power. When the clock frequency increases to increase the performance of the pipeline, the power increases but at the same time the possibility of an error increases. System errors will lead to a wasted in energy consumption which in turn reduces system efficiency. The problem is how to reduce the power in the pipeline system without effecting the process speed or frequency so that we mention the same throughput with this power. We will deal with N bit full adder and study the effect of increasing these bits on both the time delay and the power consumption of the pipeline gate, and the results show that there is a direct relationship between the number of bits and the power. The razor circuit is used with the pipeline so that the errors that will occur in the pipeline will be detected and corrected within one clock cycle instead of wasting the time and energy on incorrect data, thus the power consumption will be reduced. By introducing a Fuzzy logic controller to the pipeline, it was possible to minimize the power consumption of the system by monitoring the number of bit errors and the consumed power. Also, we will make a comparison of the pipeline when using the controller and when not in use, and we will notice the effect of the controller in reducing the power consumption of the pipeline.
EEG Motor-Imagery BCI System Based on Maximum Overlap Discrete Wavelet Transform (MODWT) and cubic SVM
Authors: Abdulwahab Samaa S. , Khleaf Hussain K. , Jassim Manal H. 
Published: August 2021

Abstract
Communication of the human brain with the surroundings became reality by using Brain- Computer Interface (BCI) based mechanism. Electroencephalography (EEG) being the non-invasive method has become popular for interaction with the brain. Traditionally, the devices were used for clinical applications to detect various brain diseases but with the advancement in technologies, companies like Emotiv, NeuoSky are coming up with low cost, easily portable EEG based consumer graded devices that can be used in various application domains like gaming, education etc as these devices are comfortable to wear also. This paper reviews the fields where the EEG has shown its impact and the way it has proved useful for individuals with severe motor disorder, rehabilitation and has become a means of communication to the real world. This paper investigates the use of Cubic SVM algorithm In the EEG classification. EEG feature extraction is Implemented by maximum overlap discrete wavelet transform (MODWT) to reduce the dimensionality of data. The Sliding Window Technique is used to calculate the mean within each window samples. The feature vectors are loaded into the support vector machine (SVM) and optimize tree.