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Abstract

The presence of the spare parts stock is a necessity to ensure the continuity of services. The supply of spare parts is a special case of the global supply chain. The main objective of our research is to propose a global spare parts management approach which allows decision makers to determine the essential points in stock management. Thus, it is important for the stock manager to evaluate the system considered from time to time based on performance indicators. Some of these indicators are presented in the form of a dashboard. The presentation of this chapter chronologically traces the progress of our research work. In the first part, we present the work related to the forecast of spare parts needs through parametric and statistical methods as well as a Bayesian modelling of demand forecasting. To measure the appreciation of the supply of spare parts inventory, the second part focuses on work related to the evaluation of the performance of the spare parts system. Thus, we concretize the link between the management of spare parts and maintenance in the third part, more precisely, in the performance evaluation of the joint -management of spare parts and maintenance, in order to visualize the influence of parameters on the system. In the last section of this chapter, we will present the metaheuristic methods and their use in the management of spare parts and maintenance and make an analysis on work done in the literature.
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Authors and Affiliations

Oumaima Bounou
1
Abdellah El Barkany
1
Ahmed El Biyaali
1

  1. Mechanical Engineering Laboratory, Faculty of Science and Techniques, Morocco
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Abstract

The article presents research results of the strength parameters of HPC achieved in various research conditions. The research was carried out on substantially different samples, both as to the size as the slenderness ratio. Moreover, the assessment of the effect of speed of a load on strength parameters as well as other factors which in a significant way show the difference in the strength values was made. For comparison, the results were also applied to the relations known in ordinary concrete.

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Authors and Affiliations

Daniel Wałach
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Abstract

This paper addresses the tensile and flexural strength of HPC (high performance concrete). The aim of the paper is to analyse the efficiency of models proposed in different codes. In particular, three design procedures from: the ACI 318 [1], Eurocode 2 [2] and the Model Code 2010 [3] are considered. The associations between design tensile strength of concrete obtained from these three codes and compressive strength are compared with experimental results of tensile strength and flexural strength by statistical tools. Experimental results of tensile strength were obtained in the splitting test. Based on this comparison, conclusions are drawn according to the fit between the design methods and the test data. The comparison shows that tensile strength and flexural strength of HPC depend on more influential factors and not only compressive strength.

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Authors and Affiliations

M. Kępniak
P. Woyciechowski
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Abstract

The major aim of the research is to analyse the type and complexity of emotions which adolescent musicians experience before giving a solo music performance. Another aim is to explore the function of these emotions for performance quality. Just before a school concert, students filled out The UWIST Mood Adjective Checklist (UMACL). Right after the performance, both the performing students and competent referees used The Performance Evaluation Scale. The results show that musicians’ pre -performance emotional state is dominated by ambivalent emotions of hope and sadness, as well as joy and anxiety. As a result of a cluster analysis, six clusters were obtained which defined emotional states before the performance: high music performance anxiety, moderate music performance anxiety, calm, mixed emotions, joy with background fatigue, and excitement. The findings show the functional significance of positive emotions and mixed emotions for performance quality.
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Authors and Affiliations

Julia Kaleńska-Rodzaj
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Abstract

Learned helplessness is often studied as a consequence of repetitive failure in a performance domain and is usually associated with the experience of uncontrollability over future outcomes. The premise of this review article is first to establish initial support towards the notion of learned helplessness seen in the context of sports performance. Furthermore, the role of performance anxiety and maladaptive perfectionism will be introduced to strengthen the idea that thinking traits impact motor performance especially when these traits moderate the effects of consecutive failure experience. Finally the paper will focus on a typical profile of an athlete who would be susceptible to choking under pressure as an outcome of perceived uncontrollability and performance anxiety. Burnout and potential interventions will be discussed later.
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Authors and Affiliations

Sindhuja Sankaran
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Abstract

The objectives of this study were to develop a framework of the collaboration network, operational

performance, and reverse logistics determinants on the performance outcomes of the

auto parts industry, and to study the direct, indirect, and overall effects of the factors that

influence the performance outcomes of the auto parts industry. This quantitative research

utilized a questionnaire as the tool for data collection, which was completed by the managers

in the auto parts industry from 320 companies. According to the analysis with the Structural

Equation Modeling (SEM), it was found that the collaboration networks, operational

performance, and reverse logistics positively affect the performance outcomes; whereas, the

collaboration networks mainly affect the development of organizations by causing performance

outcomes to continue growing unceasingly, including the enhancement of sustainable

competitive capacity and the operational results of the auto parts industry.

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Authors and Affiliations

Phasit Phoosawad
Wanno Fongsuwan
Wawmayura Chamsuk
Josu Takala
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Abstract

Performance measurement system in supply chain management (SCM) has been receiving increasing

attention by business organizations as a way to evaluate efficiency in supply chain

activities. Assessing the performance of supply chain uncovers the gap between planning

and actual performance as to trace the potential problems thus ascertain necessary areas

for improvement. This research aims to investigate the application of performance measurement

system in SCM as well as exploring its relationship with organization’s performance

among Malaysian manufacturing firms. By utilizing the questionnaire method, respondents

involved were requested to indicate the extent to which they use a number of 24 selected

performance measures that are related to SCM. The results show that the majority of the

observed manufacturing firms utilize specific performance measurement tools in evaluating

the supply chain performance. The current performance measurement techniques, the Balanced

Score Card is adopted by around a quarter of the total responding firms followed

by Supply Chain Operations References Model – SCOR, which attracts total users of only

a fifth of the total respondents. In particular, performance measures under customer service

category recorded the highest number of usage followed by cost-based performance measures

and operations management. The results of this investigation also unveil few major points

that are important to be highlighted. Firstly, the obtained outcomes of this study bring to

light the significant relationships between the utilization of supply chain performance measures

under customer service, operations management and organizational performance. In

addition, this study discovered a significant correlation between the size of the organization

and the extent of use of supply chain performance measures and how these two variables

positively correlated. Lastly, the findings also suggested that the performance measures for

SCM has been playing a crucial role in enhancing the performance of the organizations and

is increasingly operated as the firms grow in size. Based on the brief highlighted points listed

above, it is not an exaggeration to say that this research contributes new information to the

body of knowledge in performance measurement system in SCM and its associations with

organizational performance.

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Authors and Affiliations

Kamilah Ahmad
Shafie Mohamed Zabri
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Abstract

This article reports the effects of CuO/water based coolant on specific fuel consumption and exhaust emissions of four stroke single cylinder diesel engine. The CuO nanoparticles of 27 nm were used to prepare the nanofluid-based engine coolant. Three different volume concentrations (i.e 0.05%, 0.1%, and 0.2%) of CuO/water nanofluids were prepared by using two-step method. The purpose of this study is to investigate the exhaust emissions (NOx), exhaust gas temperature and specific fuel consumption under different load conditions with CuO/water nanofluid. After a series of experiments, it was observed that the CuO/water nanofluids, even at low volume concentrations, have a significant influence on exhaust emissions. The experimental results revealed that, at full load condition, the specific fuel consumption was reduced by 8.6%, 15.1% and 21.1% for the addition of 0.05%, 0.1% and 0.2% CuO nanoparticles with water, respectively. Also, the emission tests were concluded that 881 ppm, 853 ppm and 833 ppm of NOx emissions were observed at high load with 0.05%, 0.1% and 0.2% volume concentrations of CuO/water nanofluids, respectively.

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Bibliography

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[3] M.T.Naik, S.S. Fahad, L.S. Sundar, and M.K. Singh. Comparative study on thermal performance of twisted tape and wire coil inserts in turbulent flow using CuO/water nanofluid. Experimental Thermal and Fluid Science, 57:65–76, 2014.
[4] M.T. Naik, G.R. Janardana, and L.S. Sundar. Experimental investigation of heat transfer and friction factor with water–propylene glycol based CuO nanofluid in a tube with twisted tape inserts. International Communications in Heat and Mass Transfer, 46:13–21, 2013.
[5] J.J. Michael and S. Iniyan. Performance analysis of a copper sheet laminated photovoltaic thermal collector using copper oxide–water nanofluid. Solar Energy, 119:439–451, 2015.
[6] M. Bouhalleb and H. Abbassi. Natural convection in an inclined rectangular enclosure filled by CuO-H2O nanofluid, with sinusoidal temperature distribution. International Journal of Hydrogen Energy, 40(39):13676–13684, 2015.
[7] K. Goudarzi, E. Shojaeizadeh, and F. Nejati. An experimental investigation on the simultaneous effect of CuO-H2O nanofluid and receiver helical pipe on the thermal efficiency of a cylindrical solar collector. Applied Thermal Engineering, 73(1):1236–1243, 2014.
[8] Y. Abbassi, A.S. Shirani, and S. Asgarian. Two-phase mixture simulation of Al2O3/water nanofluid heat transfer in a non-uniform heat addition test section. Progress in Nuclear Energy, 83:356–364, 2015.
[9] H.K. Gupta, G.D. Agrawal, and J. Mathur. An experimental investigation of a low temperature Al2O3-H2O nanofluid based direct absorption solar collector. Solar Energy, 118:390–396, 2015.
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[13] L. S. Sundar, Md.H. Farooky, S.N. Sarada, and M.K. Singh. Experimental thermal conductivity of ethylene glycol and water mixture based low volume concentration of Al2O3 and CuO nanofluids. International Communications in Heat and Mass Transfer, 41:41–46, 2013.
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Authors and Affiliations

S. Senthilraja
1
KCK Vijayakumar
2
R. Gangadevi
3

  1. Faculty of Mechanical Engineering, Anna University, Chennai, India
  2. Department of Mechanical Engineering, Vivekanandha Institute of Engineering & Technology for Women, Tiruchengode, India
  3. Department of Mechatronics Engineering, SRM University, Chennai, India
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Abstract

The author investigated traffic flow quality on a new 2+1 long road bypass with an exceptionally high share of heavy vehicles in order to assess rational limits of heavy vehicle shares in traffic flow, dependent on the length of the 2+1 road and the number of passing segments in each direction. This paper presents the results of traffic flow quality analyses through the use of empirical and simulation methods for a single 2+1 road segment with additional passing lanes, as well as for the study of the entire section of the bypass – 2+1 road. Variables include analysis of travel speed distribution, platoon traffic, and amount of passing maneuvers. Results show that large passing demands lead to very high speeds (over 100 km/h) on segments with additional passing lanes. The conclusions include remarks related to the use and operation of 2+1 cross-sections with high shares of heavy vehicles.

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Authors and Affiliations

M. Kieć
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Abstract

This study investigates (1) the effect of quality information on quality performance through process control and (2) the moderating role of shop floor leadership on the relationship between quality information and quality performance in the context of manufacturing plants on a global basis. The moderated mediation analysis with a bootstrapping approach was employed to analyse data for hypotheses testing. The data is from the fourth-round dataset of the High- Performance Manufacturing Project, collected from manufacturing plants worldwide. The results indicate that (1) quality information is positively associated with quality performance through process control, and (2) shop floor leadership (i.e., supervisory interaction facilitation) positively moderates the indirect effect of quality information on quality performance; that is, the shop floor leadership practice strengthens the effect of quality information on quality performance through process control. This study also has a practical implication for top managers who should consider the vital role of leadership practices adopted by shop floor supervisors in implementing total quality management practices and should raise awareness that leadership practices are not only for the ‘C-suite’ but also for shop floor supervisors.
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Authors and Affiliations

Ngoc Anh Nguyen
Chi Phan Anh
Thi Xuan Thoa Pham
Matsui Yoshiki
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Abstract

The knowledge of performance characteristics of turbine stage groups is still insufficient, particularly in the general case of changes of operating conditions. This situation is caused mainly by the scarcity of experimental data available. In such case, the opportunity to obtain the required data, using mathematical modelling and numerical simulation of the operation of stage groups under off-design conditions instead of physical experiment, seems to be attractive. The application of this idea for impulse type turbine stage groups was presented in [I], [2]. Here we discuss similar results but obtained for reaction type turbine stage groups, that is: - mathematical model for computer simulation of operation of reaction type turbine stage group, under variable regime (based on Ainley's and Mathieson's method with some improvements); - simulation results for a number of stage groups designed according to former BBC and traditional concepts; - more general properties of these groups (in relation to flow capacity and efficiency) obtained from the analysis of simulation data; - comparison of observed properties of impulse and reaction typy turbine stage groups.
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Authors and Affiliations

Andrzej Miller
Janusz Lewandowski
Zofia Trzcińska
Kamal Ahmad Abed
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Abstract

The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by Rusing Mat-lab/Simulink.
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Authors and Affiliations

Maziar Izadbakhsh
Alireza Rezvani
Majid Gandomkar
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Abstract

This paper presents a new test method able to infer - in periods of less than 7 seconds - the refrigeration capacity of a compressor used in thermal machines, which represents a time reduction of approximately 99.95% related to the standardized traditional methods. The method was developed aiming at its application on compressor manufacture lines and on 100% of the units produced. Artificial neural networks (ANNs) were used to establish a model able to infer the refrigeration capacity based on the data collected directly on the production line. The proposed method does not make use of refrigeration systems and also does not require using the compressor oil.
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Authors and Affiliations

Rodrigo Coral
Carlos A. Flesch
Cesar A. Penz
Maikon R. Borges
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Abstract

A suitable use of software packages for optimization problems can give the possibility to formulate design problems of robotic mechanical systems by taking into account the several aspects and behaviours for optimum solutions both in design and operation. However, an important issue that can be even critical to obtain practical solutions can be recognized in a proper identification and formulation of criteria for optimability purposes and numerical convergence feasibility. In this paper, we have reported experiences that have been developed at LARM in Cassino by referring to the abovementioned issues of determining a design procedure for manipulators both of serial and parallel architectures. The optimality criteria are focused on the well-recognized main aspects of workspace, singularity, and stiffness. Computational aspects are discussed to ensure numerical convergence to solutions that can be also of practical applications. In particular, optimality criteria and computational aspects have been elaborated by taking into account the peculiarity and constraint of each other. The general concepts and formulations are illustrated by referring to specific numerical examples with satisfactory results.

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Authors and Affiliations

M. Ceccarelli
G. Carbone
E. Ottaviano
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Abstract

This article describes queueing systems and queueing networks which are successfully used for performance analysis of different systems such as computer, communications, transportation networks and manufacturing. It incorporates classical Markovian systems with exponential service times and a Poisson arrival process, and queueing systems with individual service. Oscillating queueing systems and queueing systems with Cox and Weibull service time distribution as examples of non-Markovian systems are studied. Jackson's, Kelly's and BCMP networks are also briefly characterized. The model of Fork-Join systems applied to parallel processing analysis and the FES approximation making possible of Fork-Join analysis is also presented. Various types of blocking representing the systems with limited resources are briefly described. In addition, examples of queueing theory applications are given. The application of closed BCMP networks in the health care area and performance evaluation of the information system is presented. In recent years the application of queueing systems and queueing networks to modelling of human performance arouses researchers' interest. Hence, in this paper an architecture called the Queueing Network-Model Human Processor is presented.

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Authors and Affiliations

B. Filipowicz
J. Kwiecień
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Abstract

Starting from consideration that urban intersections are sites with promise for safety and operational improvements, the paper describes the steps taken to develop a crash predictive model for estimating the safety performance of urban unsignalized intersections located in Palermo, Italy. The focus is on unsignalized four-legged one-way intersections widespread in Italian downtowns. The sample considered in the study consist of 92 intersections in Palermo, Italy. For the study were collected crashes occurred in the sites during the years 2006‒2012, geometric design and functional characteristics and traffic flow. Results showed that data were overdispersed and NB1 distributed. In order to account for the correlation within responses Generalized Estimating Equations (GEE) were used under different working correlation matrices.

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Authors and Affiliations

O. Giuffrè
A. Granà
T. Giuffrè
R. Marino
S. Marino
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Abstract

The joined wing concept is an unconventional airplane configuration, known since the mid-twenties of the last century. It has several possible advantages, like reduction of the induced drag and weight due to the closed wing concept. The inverted joined wing variant is its rarely considered version, with the front wing being situated above the aft wing. The following paper presents a performance prediction of the recently optimized configuration of this airplane. Flight characteristics obtained numerically were compared with the performance of two classical configuration airplanes of similar category. Their computational fluid dynamics (CFD) models were created basing on available documentation, photographs and some inverse engineering methods. The analysis included simulations performed for a scale of 3-meter wingspan inverted joined wing demonstrator and also for real-scale manned airplanes. Therefore, the results of CFD calculations allowed us to assess the competitiveness of the presented concept, as compared to the most technologically advanced airplanes designed and manufactured to date. At the end of the paper, the areas where the inverted joined wing is better than conventional airplane were predicted and new research possibilities were described.

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Authors and Affiliations

Adam Sieradzki
Adam Dziubiński
Cezary Galiński
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Abstract

The main objective of this study was to analyse the psychometric properties of the Polish adaptation of the Kenny Music Performance Anxiety Inventory – Revised (K -MPAI -R, Kenny, 2009) modified as the Kenny Performance Anxiety Inventory (K -PAI) for a general population of individuals with experience in public performance in fields other than music. Another aim was to test the factor structure of K -PAI on a Polish sample. We analysed the relationship between the scores on K -PAI and general anxiety, depression, attentional control, the scores on the Behavioural Inhibition Scale (BIS) and the Behavioural Activation Scale (BAS) and reward susceptibility. Participants (N = 586) completed the questionnaires in a wider online study. The scores on K -PAI revealed a moderate to strong positive association with different measures of anxiety, trait -anxiety in particular, and negative associations with attentional control and susceptibility to reward. K -PAI scores were strongly associated with depression, but displayed no relationship with the BAS or any of its sub -dimensions. These results generally replicated those obtained on the K -MPAI -R with Australian and Peruvian musicians, indicating the cross -cultural validity of the K -MPAI -R and K -PAI. It is suggested that performance anxiety develops on the basis of the biological predispositions and early negative experiences in performance contexts.
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Authors and Affiliations

Joanna Kantor-Martynuska
Dianna T. Kenny
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Abstract

This study analyses the performances of various path controlling strategies for a 3-degrees of freedom wrist exoskeleton, by comparing key indicators, such as rise time, steady-state error, and implementation difficulty. A model was built to describe both system’s kinematics and dynamics, as well as 3 different controllers (PID, PD¸, and a hybrid force/position controller) that were designed to allow each joint to perform smooth motions within anatomic ranges. The corresponding simulation was run and assessed via Matlab (version 2020a). In addition to the performance comparison, remarkable characteristics could be identified among controllers. PD¸ showed higher response speed than the other controllers (about 4 times), and PID was reinforced as the technique with the easiest implementation due to the smallest matrices. The study also allowed to greater potential of the hybrid controller to interact with its environment, i.e., the robotic device.
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Authors and Affiliations

Valeria Avilés
1
Oscar F. Avilés
1
Jorge Aponte
1
Oscar I. Caldas
1
Mauricio F. Mauledoux
1

  1. Davinci Research Group, Mechatronics Engineering, Militar Nueva Granada University, Cr 11 No 101-80, Bogotá, Colombia
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Abstract

This study aimed to evaluate the impact of betaine (Bet) and protected calcium butyrate (PCB) supplementation individually and together on the performance, carcass traits, blood biochemistry, and meat quality of growing Japanese quails ( Coturnix coturnix Japonica) from 1 to 42 days old. 144 one-day-old unsexed Japanese quails were randomly assigned to four dietary treatments with six replicates each. All birds were fed a maize-soybean meal diet for 42 days. The control group received no feed additives, while the treatment groups received 1.2 g/kg Bet, 1.0 g/kg PCB, or a combination of both in their diets. The results indicated that Bet and PCB supplementation individually and together did not differ performance, relative weights of heart, gizzard, proventriculus, bursa of Fabricius and pancreas, water holding capacity (WHC), cooking loss (CL), blood biochemical values except for glucose and triglyceride. Bet supplementation significantly increased relative liver weights, while PCB supplementation decreased glucose levels in serum. Moreover, carcass yield was increased and triglyceride value in blood serum, malondialdehyde (MDA), and the pH levels of breast meats both on the 1st and 30st day of post-mortem were decreased in all treatment groups. Therefore, based on these results, the combination of betaine and butyrate improves both carcass yield and meat quality in growing Japanese quails. More research is needed to determine the impact of betaine and butyrate on the structure of amino acids in meat, antioxidant enzyme activity, and the immune system in poultry.
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Bibliography


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Authors and Affiliations

E. Gümüş
1
B. Sevim
2
O. Olgun
3
S. Küçükersan
4

  1. Department of Veterinary, Eskil Vocational School, Aksaray University, Şehit Recep Bozdağ Cad., 68800 Eskil, Aksaray, Turkey
  2. Department of Food Processing, Technical Sciences Vocational School, Aksaray University, Hacılar Harmanı Mah, 12. Bulvar No:2, Merkez, 68100 Aksaray, Turkey
  3. Department of Animal Science, Faculty of Agriculture, Selçuk University, Alaeaddin Keykubat Yerleşkesi, 42130, Selcuklu, Konya, Turkey
  4. Department of Animal Nutrition and Nutritional Diseases, Faculty of Veterinary Medicine, Ankara University, Zübeyde Hanım Mahallesi Şehit Ömer Halisdemir Bulvarı No: 9/C, 06070, Altındağ, Ankara, Turkey
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Abstract

The aim of this study was to evaluate the possibility to predict outcomes of artificial insemi- nation (AI) in dairy cows based on in-line milk progesterone (P4) concentration. The research was carried out on the herd of loose housing 245 dairy cows of 2-4 lactations, with average milk yielding 11.000 kg per cow. Milk sampling, measuring, and recording of milk P4 concentration was carried out using the Herd Navigator (HN). The grouping was performed according to the following three indices: the first by reproductive condition – pregnant or not pregnant after AI, the second by P4 concentration from day 20 before AI to day 20 after AI, and the third by P4 concentration at AI time. There was a significant difference in P4 concentration in the group of pregnant cows from day 15 to day 9 before AI, and it was by 18.3% higher com- pared to that in the group of non-pregnant cows in the said period (p<0.01). The milk P4 concen- trations began to differ mostly from day 10 after AI. At that time, the average P4 concentration in the group of pregnant dairy cows was by 36.8% higher compared to that in the group of non-pregnant cows (p<0.01). A statistically significant difference between the ratio of the cows with high, medium, and low P4 concentration on days 20-16 before AI (p<0.01) was determined. The highest number of cows with up to 2-3 ng/ml P4 concentration became pregnant at the AI time.
In-line milk P4 records captured on day 10-15 before AI can be used to predict the proper for reproduction period. By P4 concentrations on day10 after AI, the ratio of pregnant cows in herd can be assessed.
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Authors and Affiliations

A. Gavelis
1
A. Juozaitis
2
R. Japertienė
1
G. Palubinskas
1
V. Juozaitienė
1
V. Žilaitis
3

  1. Department of Animal Breeding, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
  2. Department of Animal Nutrition, Veterinary Academy,Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
  3. Large Animal Clinic, Veterinary Academy, Lithuanian University of Health Sciences, Tilžės St. 18, Kaunas, Lithuania
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Abstract

The paper is focused on the forthcoming IEEE 802.11ax standard and its influence on Wi-Fi networks performance. The most important features dedicated to improve transmission effectiveness are presented. Furthermore, the simulation results of a new transmission modes are described. The comparison with the legacy IEEE 802.11n/ac standards shows that even partial implementation of a new standard should bring significant throughput improvements.

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Authors and Affiliations

Marek Natkaniec
Łukasz Prasnal
Michał Szymakowski
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Abstract

The performance-based analysis of the large-space steel sports hall is presented. Load-bearing structure of the hall consists of spatial long-span truss girders that are made of modern square hollow sections. Both fire development analysis and mechanical response analysis are discussed in detail. Fire Dynamics Simulator and Safir programs are used. Main focus is put on the factors that could affect the final fire resistance of the structure. Uniform and non-uniform heating, different boundary conditions and local imperfections are taken into account. Structures with and without fireproof insulation are considered. Values of the critical temperature, failure modes and fire resistance estimated for various cases are presented. Computer simulations were carried out both for fire growth and decay phase. As a result it is clearly shown that some reductions of the required fireproof insulation are possible. Moreover, the structure without complete traditional fireproof insulation is able to survive not only the direct fire exposure but also the cooling phase.

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Authors and Affiliations

Piotr Woźniczka
ORCID: ORCID

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