bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morphological optimization of female combat sports athletes as seen by the anthropologists
Authors: Burdukiewicz Anna , Pietraszewska Jadwiga , Andrzejewska Justyna , Stachoń Aleksandra 
Published: June 2016

Body build and proportions are key determinants of athletic success. The effects of the athlete selection process and discipline-specific training are differentiated body dimensions. The aim of the study was to examine the physical characteristics of female combat athletes. The results of anthropometric measurements of 154 females aged 21.2±1.79 years competing in judo, jiu-jitsu, karate, taekwondo, and fencing for 7.5±3.43 years.
Significant differences were observed between the judo and karate, taekwondo and fencing practitioners in chest, hip, arm and forearm girths. More variance was observed in body proportions. Fencers had the slimmest body shape, a more massive body size in the judokas. Longer upper extremities relative to lower extremity length were found in the jiu-jitsu group. Relative to body height, a larger torso and greater girths were observed in the judokas compared with the fencing, karate, and taekwondo practitioners. The groups did not differ in the level of endomorphy. Mesomorphy was highest in judokas and the lowest in fencers, although ectomorphy was most dominant in the latter group.
Females practitioners of combat sports exhibit differences in physical characteristics as an effect of optimizing body type and build via the training and athlete selection process of a given discipline. The anthropometric measures could play a role in talent identification programmes for martial arts and help the trainers to optimize the motoric effectiveness of athletes.
Mathematical Models for Egg Production in Broiler Breeder Hens
Authors: Otwinowska-Mindur Agnieszka , Gumułka Małgorzata , Kania-Gierdziewicz Joanna 
Published: June 2016

Abstract
Broiler breeders hens (meat-type hens) have lower reproductive potential than laying-type hens. Statistical models for predicting potential laying pattern are important for economically optimal breeding strategy of egg production in a poultry flock. The aim of the study was to find the most suitable function for describing the egg-laying rate and egg weight during the broiler breeders’ production period and to characterize laying pattern in groups of hens with different egg production. The following four mathematical models were used: gamma, Narushin-Takma, logistic-curvilinear, and compartmental. The daily recorded egg production data from 100 broiler breeder hens were used. Hen-weekly egg production was described using laying rate during successive weeks after reaching sexual maturity (26 weeks of age) and daily recorded egg weight. On the basis of the total number of eggs laid (NEggs), groups of hens with low (21%), intermediate (52%), and high (27%) egg production were created. The differences between the goodness-of-fit criteria values (AIC, R2 MSE) were small, with all the examined models having the same quality of curve fitting for egg-laying rate and egg weight. The logistic-curvilinear model was able to fit well both egg-laying rate and egg weight of the whole broiler breeder hens’ flock, and also when hens were divided into three egg production groups. This model could be considered in a long-term prediction of the reproductive potential in the commercial management. Moreover, the presented model could be useful in the research on different reproduction parameters of individual hens.
Possibilities to develop low-fat products: a review
Authors: Tufeanu Roxana , Tiţa Ovidiu 
Published: June 2016

Abstract
Research has proved a relationship between high fat consumption and rise in obesity, atherosclerosis, coronary heart diseases and high blood pressure. Therefore is recommended the moderate consumption of fat, such that the total fat does not exceed 30% of total energy intake. Our body needs fats because are providers of calories, essential fatty acids, fat-soluble vitamins and also they are necessary ingredients of the foods. The development of products with low-fat content can be considerate a challenge because the lipids offers aroma, texture, appearance, flavour and mouth feel, qualities that customers want in food products. A fat reduction can be achieved by using different fat replacers to ensure the functionality of the replaced fat. Functional components of fat replacers can have a significant role in promotion of wellbeing, in treating and preventing diseases. Thus, fat replacers should be recognized as safe and healthy, which have sensorial and functional properties. This paper reviews the fat replacers used to obtain foods as meat-based or dairy products. Some ways to obtain healthier meat products by reducing saturated fats content consist in the utilization of unsaturated vegetable oils, vegetable products, fibre. The utilization of fibre in products such bolognas, sausages or hamburgers, can improve the texture profile, binding properties and the characteristics regarding the cooking process. A fat reduction in dairy products can be achieved by replacing it with starches, polysaccharides, gums or fibres from cereal, vegetables and fruits. In acidified milk products, fibres have benefits as: low syneresis, sensory characteristics accepted by consumers, improvement of texture and rheological properties. In cheeses production, the fat reduction can be realised by replacing it with carbohydrate or protein-based replacers in order to obtain a final product with proper characteristics.
Application of central composite design to optimize the amount of carbon source and prebiotics for Bifidobacterium bifidum BB01
Authors: Shu Guowei , Lei Ni , Chen He , Hu Man , Yang Hui 
Published: June 2016

Abstract
The objective of the present study was to obtain the optimum proportion of the carbon source and prebiotics for Bifidobacterium bifidum BB01 by the central composite design (CCD). The effect of carbon source (lactose) and two prebiotics (inulin and fructooligosaccharides) on the BB01 were observed by measuring the OD600 value, pH value and the viable counts at 18h. The final optimized concentrations of carbon source and prebiotics were: lactose 1.6%, inulin 0.26%, and fructooligosaccharides 0.22%. The result indicates that the growth of B. bifidum BB01 shows an significant increase in the optimized culture medium (p < 0.05), the OD600 value reached 1.434 at 18h, which increased 6.58% compared to the control. And the viable counts of B. bifidum BB01 increased 24.36% and reached (2.17±0.06) ×109cfu/mL. The results show that the optimization of the carbon source and prebiotics using CCD in this study is workable and necessary.
Comparison of ACE inhibitory activity in skimmed goat and cow milk hydrolyzed by alcalase, flavourzyme, neutral protease and proteinase K
Authors: Bao Chunju , Chen He , Chen Li , Cao Jili , Meng Jiangpeng 
Published: June 2016

Abstract
Angiotensin I converting enzyme (ACE) inhibitory peptides derived from milk proteins have obvious effect of lowering blood pressure, safe and non-toxic side effects. This study compared four commercial proteases, namely alcalase, flavourzyme, neutral protease and proteinase K for their ACE inhibitory activity in skimmed goat and cow milk and identified the best one with higher ACE inhibitory activity. The degree of hydrolysis (DH) of alcalase and proteinase K were much higher than flavourzyme, neutral protease for both skimmed goat and cow milk. Alcalase was the best enzyme to produce ACE inhibitory peptides from goat milk, with the ACE inhibitory activity 95.31%, while proteinase K was the optimal protease for hydrolyzing cow milk, with 81.28% ACE inhibitory activity. Furthermore, no correlation was obtained between the ACE inhibitory activity and DH for both goat and cow milk.
The evaluation of nanoparticles ZnO and TiO2 effects on Saccharomyces cerevisiae CNMN-Y-20 yeast strain
Authors: Usatîi Agafia , Chiseliţa Natalia , Efremova Nadejda 
Published: June 2016

Abstract
This paper investigates the action of nanoparticles ZnO (10 nm) and TiO2 (30 nm) on growth of Saccharomyces cerevisiae CNMN-Y-20 yeast. Nanoparticles in concentration of 0,5; 1,0 and 5,0 mg/L in YPD medium did not modify significantly cell proliferation, biomass production, the carbohydrate content and the content of β-glucans at Saccharomyces cerevisiae CNMN-Y-20. Nanoparticles ZnO and TiO2 contributed to the decrease in protein content, which demonstrated the appearance of the alterations of yeast cell membranes.
Distance-constrained grid colouring
Authors: Aszalós László , Bakó Mária 
Published: June 2016

Abstract
Distance-constrained colouring is a mathematical model of the frequency assignment problem. This colouring can be treated as an optimization problem so we can use the toolbar of the optimization to solve concrete problems. In this paper, we show performance of distance-constrained grid colouring for two methods which are good in map colouring.
The Effects of School Closure Threats on Student Performance: Evidence from a Natural Experiment
Authors: Chiu Ming Ming , Joh Sung Wook , Khoo Lawrence 
Published: June 2016

Abstract
We exploit a natural experiment to test whether school closure threats can increase staff effort and improve performance. The Hong Kong government overestimated post-1997-Handover mainland Chinese immigration and local births, creating excess capacity in many school districts. In 2003, with student enrollment falling to new lows (increasing cost per student), the government announced that it would close schools that were unable to recruit enough students. Since schools compete for students within their own district, the accidental excess capacity created closure threats that varied by district. Difference-in-differences analyses show that after initiation of this policy, student scores in heavily overbuilt districts were lower than scores in other districts and lowest in districts with the fewest students per class. Although closure threats were counterproductive for improving performance, the school closures eventually improved overall school quality, as typically, the lowest performing schools in each district closed.
Micropropagation of the Narrow Endemic Hladnikia pastinacifolia (Apiaceae)
Authors: Ambrožič-Dolinšek Jana , Ciringer Terezija , Kaligarič Mitja 
Published: June 2016

Abstract
The monotypic Hladnikia pastinacifolia Rchb. is a narrow endemic species, with an extremely small distribution area in Slovenia, prone to any kind of threat that could lead to species extinction. Tissue culture techniques are proposed as a conservation measure for rapid propagation and ex-situ conservation. Tissue culture was initiated from seeds and juvenile plants obtained from natural sites on a solid Murashige and Skoog (MS) medium, with and without growth regulators. We tested various combinations and concentrations of growth regulators, and the best proliferation of axillary shoots, on average 14, was obtained on MS medium with 5 μM BAP and 3 μM IBA and 3% sucrose. Rooting was achieved after transferral of the shoots to an MS medium with 2 μM IBA and 3% sucrose. The rooted plants were acclimatized on a mixture of limestone sand, potting soil and vermiculite in a ratio of 10:2:2, with pH in the range of 7.5–8.0. In vitro propagation methods provide an important opportunity for the propagation and preservation of H. pastinacifolia by rapidly increasing the number of plants, without disturbing the wild population.
Identification and analysis of optimal method parameters of the V-block waviness measurements
Authors: Adamczak S. , Zmarzły P. , Stępień K. 
Published: June 2016

Abstract
At the Kielce University of Technology, a new method of waviness measurement of cylindrical surfaces has been developed. The article deals with the research conducted to find the optimal V-block method parameters that can be used in a measuring device applied to waviness measurement of cylindrical surfaces. In order to keep high measuring accuracy of V-block method, all detectability coefficients which are function of V-block method parameters should not be negative. For this purpose computations were carried out in order to find such angular parameters that can be easily applied in measuring device and allow for obtaining positive detectability coefficients. Results of the study presented in this paper make it possible to modify the design of the measuring device. According to the authors, it will result in increasing the accuracy of V-block waviness measurement of cylindrical parts.
Prototype of the domestic CHP ORC energy system
Authors: Kicinski J. , Zywica G. 
Published: June 2016

Abstract
The Institute of Fluid-Flow Machinery (IMP PAN) in Gdansk pursues its own research in fields such as technologies that use renewable energy sources efficiently, including in particular the small-scale combined heat and power (CHP) systems. This article discusses the design concepts for the prototype of small CHP ORC (organic Rankine cycle) energy system, developed under the research project. The source of heat is a boiler designed for biomass combustion. Electricity was generated using specially designed oil-free vapour micro-turbine. The turbo-generator has compact structure and hermetical casing thanks to the use of gas bearings lubricated by working medium. All energy system components are controlled and continuously monitored by a coherent automation and control system. The article also discusses selected experimental results conducted under laboratory conditions. Thermal-flow tests were presented that allow for an assessment of the operation of energy system components. Additionally, energy performance results of the turbo-generator were given including power obtained at various cycle parameters. The achieved results have shown that the developed energy system operated in accordance with design solutions. Electricity derived from the energy system prototype was around 2 kW, with boiler’s thermal power of 25 kW. The research has also confirmed that this system can be used in a domestic environment.
Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature
Authors: Tanikić D. , Marinković V. , Manić M. , Devedžić G. , Ranđelović S. 
Published: June 2016

Abstract
The heat produced in metal cutting process has negative influence on the cutting tool and the machined part in many aspects. This paper deals with measurement of cutting temperature during single-point dry machining of the AISI 4140 steel, using an infrared camera. Various combinations of cutting parameters, i.e. cutting speed, feed rate and depth of cut lead to different values of the measured cutting temperature. Analysis of the measured data should explain the trends in temperature changes depending on changes in the cutting regimes. Furthermore, the temperature data is modelled using response surface methodology and fuzzy logic. The models obtained should determine the influence of cutting regimes on cutting temperature. The main objective is the reduction of cutting temperature, i.e. enabling metal cutting process in optimum conditions.
Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance
Authors: Kishor D. Raja , Venkateswarlu N. B. 
Published: June 2016

Abstract
The present work proposes hybridization of Expectation-Maximization (EM) and K-means techniques as an attempt to speed-up the clustering process. Even though both the K-means and EM techniques look into different areas, K-means can be viewed as an approximate way to obtain maximum likelihood estimates for the means. Along with the proposed algorithm for hybridization, the present work also experiments with the Standard EM algorithm. Six different datasets, three of which synthetic datasets, are used for the experiments. Clustering fitness and Sum of Squared Errors (SSE) are computed for measuring the clustering performance. In all the experiments it is observed that the proposed algorithm for hybridization of EM and K-means techniques is consistently taking less execution time with acceptable Clustering Fitness value and less SSE than the standard EM algorithm. It is also observed that the proposed algorithm is producing better clustering results than the Cluster package of Purdue University.
Mathematical Modeling and Examination of the Effects of Structural Redundancy in а Class of Computer-Based Fault Tolerant Systems
Authors: Hristova Mariya 
Published: June 2016

Abstract
The present article models and examines k˅n systems, in particular Triple modular redundancy (2˅3) and 3˅5. The aim of the study is to derive mathematical models, which are used for determining the impact of structural redundancy (the number of channels n and the threshold of the quorum function k) on the reliability of the system. The probability of failure-free operation p and the Mean Time Between Failures (MTBF) are used as reliability indicators.
A Fault-Tolerant Routing Algorithm for Wireless Sensor Networks Based on the Structured Directional de Bruijn Graph
Authors: Lu Chuiwei , Hu Defa 
Published: June 2016

Abstract
Wireless Sensor Network (WSNs) nodes with low energy, run out of energy easily and stop working, which results then in routing failures and communication blocking. The paper puts forward a FTRSDDB algorithm based on the structured directional de Bruijn graph to enhance the performance of faulttolerant routing for WSNs. The algorithm randomly deploys some super nodes with abundant energy and powerful performance in WSNs. These nodes are responsible for the collection of topology information from the WSNs to build redundant routing table, and provide data forwarding and routing update service for popular nodes. The FTRSDDB algorithm optimizes network topology structure using de Bruijn graph, and can quickly find neighbor nodes failure and invalid routing path, and then calculate new routing information with low cost, which greatly improves the performance of fault-tolerant routing of WSNs. Experiments show that the FTRSDDB algorithm takes on better performance compared with other faulttolerant routing algorithms, even that exist malicious nodes attack in the WSNs.
TOPSIS Modification with Interval Type-2 Fuzzy Numbers
Authors: Ilieva Galina 
Published: June 2016

Abstract
This paper proposes a new TOPSIS with interval type-2 fuzzy numbers. The extension applies graded mean integration to compare normal fuzzy trapezoidal sets. It is demonstrated by a numerical example for ranking business intelligence software that the TOPSIS modification can operate with qualitative and quantitative criteria, reduces evaluation uncertainty and provides a feasible solution.
An Efficient Fault-Tolerant Multi-Bus Data Scheduling Algorithm Based on Replication and Deallocation
Authors: Arar Chafik , Khireddine Mohamed Salah 
Published: June 2016

Abstract
The paper proposes a new reliable fault-tolerant scheduling algorithm for real-time embedded systems. The proposed scheduling algorithm takes into consideration only one bus fault in multi-bus heterogeneous architectures, caused by hardware faults and compensated by software redundancy solutions. The proposed algorithm is based on both active and passive backup copies, to minimize the scheduling length of data on buses. In the experiments, this paper evaluates the proposed methods in terms of data scheduling length for a set of DAG benchmarks. The experimental results show the effectiveness of our technique.
A New Zero-Watermarking Algorithm Resisting Attacks Based on Differences Hashing
Authors: Han Baoru , Li Jingbing 
Published: June 2016

Abstract
Medical volume data containing patient information is often faced with various attacks in the transmission process. In order to enhance the medical information system security, and effectively solve the problem of medical volume data protection, a new zero-watermarking algorithm is proposed in the paper. The new zero-watermarking algorithm takes advantage of three-dimensional discrete wavelet transform multi-resolution analysis characteristics of space and time, threedimensional discrete cosine transform properties, and differences hashing robust characteristic. In order to enhance watermarking algorithm security, Legendre chaotic neural network is used for scrambling original watermark image. The medical volume data is made by three-dimensional discrete wavelet transform, threedimensional discrete cosine transform and three-dimensional discrete inverse cosine transform r to obtain the medical volume data feature matrix (4×5×4), which is converted to 64-bit binary feature sequence through difference hashing algorithm. The 64-bit binary feature sequence is used to construct the zero-watermarking. The experimental results prove that the new zero-watermarking has favorable security and robustness resisting various attacks. Therefore, the new zero-watermarking algorithm is more applicable to protect medical volume data.
Robot Simultaneous Localization and Mapping Based on Self-Detected Waypoint
Authors: Yi Yingmin , Hu Xiangru 
Published: June 2016

Abstract
The point of interest in this paper is the main content of autonomous navigation of robots. An algorithm for robot Simultaneous Localization And Mapping (SLAM) based on self-detected waypoint is introduced to realize robot’s mapping in its area of interest. Robot’s next step waypoint is performed using characteristics of large information in the area of interest and dense landmark, clustering the landmark in the area of interest, and guiding robot’s movement with clustered central point. Robot clusters the observed area in its observation every time. It takes the clustered center based on the largest number of landmarks as the waypoint of the next step. Simulation experiment shows, that due to robot’s movement toward the area of dense landmarks, the proposed method increases the number of landmarks observed by the robot and frequency of observation is increased. The proposed method enhances accuracy of robot’s positioning and the robot realizes to detect its waypoint autonomously.
Association of monocyte to HDL cholesterol level with contrast induced nephropathy in STEMI patients treated with primary PCI
Authors: Sağ Saim , Yıldız Abdülmecit , Aydin Kaderli Aysel , Gül Bülent Cuma , Bedir Ömer , Ceğilli Ercan , Özdemir Bülent , Can Fatma Ezgi , Aydınlar Ali 
Published: June 2016

Abstract

Background:
Contrast induced nephropathy (CIN) has been proven to be a clinical condition related to adverse cardiovascular outcomes. In recent studies, the monocyte to high density lipoprotein ratio (MHR) has been postulated as a novel parameter associated with adverse renal and cardiovascular outcomes. In this study we investigated the association of MHR with CIN in ST-segment elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (PCI).

Methods:
Consecutive STEMI patients treated with primary PCI were prospectively recruited. Subjects were categorized into two groups; as patients who developed CIN (CIN+) and patients who did not develop CIN (CIN–) during hospitalization. CIN was defined as either a 25% increase in serum creatinine from baseline or 44.20 µmol/L increase in absolute value, within 72 h of intravenous contrast administration.

Results:
A total number of 209 patients were included in the study. Thirty-two patients developed CIN (15.3%). In the CIN (+) patients, monocytes were higher [1.02 (0.83–1.39) vs. 0.69 (0.53–0.90) 109/L, p<0.01] and HDL cholesterol levels were lower [0.88 (0.78–1.01) vs. 0.98 (0.88–1.14) mmol/L, p<0.01]. In addition, MHR was significantly higher in the CIN (+) group [1.16 (0.89–2.16) vs. 0.72 (0.53–0.95) 109/mmol, p<0.01]. In multivariate logistic regression analysis, MHR, Mehran score, AGEF score and CV/eGFR were independently correlated with CIN.

Conclusions:
Higher MHR levels may predict CIN development after primary PCI in STEMI patients.