bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Authors: Fazel Farhad , Golmohammadi Abdollah , Shahgholi Gholamhossein , Ahmadi Ebrahim 
Published: August 2020

Abstract
Fruit quality drops significantly due to physical impacts and contact forces. Stress on the fruit surface during harvesting, transportation and storage operations causes bruising in its tissue and eventually result in fruit failure. Therefore, prediction of the bruise volume caused by impacts can be very important. In this research, adaptive neuro fuzzy inference system (ANFIS) was used to predict the bruise volume caused by the impacts on apples. The input parameters were the maximum contact force or impact energy; curvature radius at the contact point; temperature; and fruit mass. Its response was the bruise volume. The results show that the ANFIS models operated better in the bruise volume prediction than regression models. Between different available ANFIS models, the model based on the grid partitioning showed the best results with a mean squared error of MSE = 0.00015941, which was less than value showed by the sub-clustering mode. However, its implementation time to reach a fixed error was longer. Eventually, impact energy-based models, in contrast to maximum contact force-based models, were more capable in terms of the apple bruising prediction.
Numerical Analysis of Large Deflections of a Flat Textile Structure with Variable Bending Rigidity and Verification of Results Using Fem Simulation
Authors: Szablewski Piotr 
Published: August 2020

AbstractThe paper presents the numerical modeling of large deflections of a flat textile structure subjected to a constant force acting on the free end. It was assumed that the examined structure is inextensible. The effect of the structure's own weight was also taken into account. In order to solve the problem, the flat textile structure was modeled using the heavy elastica theory. An important element of the analysis involves taking into account the variable bending rigidity of the examined textile structure along its length, which is often found in this type of products. The function of variable bending rigidity was assumed in advance. Numerical calculations were carried out in the Mathematica environment using the shooting method for the boundary value problem. The obtained results were verified using the finite element method.
Physical, physiological and psychological profiles of elite Turkish taekwondo athletes
Authors: Khayyat Hadi Nabizadeh , Sağır Sibel Güler , Hataş Özkan , Smolarczyk Marcin , Akalan Cengiz 
Published: August 2020

Summary

Study aim: To identify the physical, physiological and psychological profiles of elite Turkish taekwondo athletes.

Material and methods: Twelve players of the Turkish national taekwondo team (age = 22.7 ± 2.8 years, BMI = 22.2 ± 1.4 kg/m2, body fat = 12.8 ± 3.4%) participated in the study. Anthropometric measurements including leg length and foot size were assessed. Maximal oxygen uptake, explosive power of leg extensors, isokinetic peak torque, muscular endurance, anaerobic power, agility, flexibility, maximal speed, reaction time, and postural balance were examined by incremental treadmill running, vertical jump, isokinetic strength, sit-ups and push-ups, Wingate, shuttle run, sit-and-reach, 30-meter sprint, multiple-choice reaction time, and General Postural Stability and Athlete Single Leg stability tests, respectively. Psychological characteristics including mental skills and mood states were evaluated using OMSAT-3 and POMS tests.

Results: VO2max, isokinetic peak torque and Wingate test mean power values were 54.1 ± 4.4 mL ∙ kg−1 ∙ min−1, 191.7 ± 19.2 N ∙ m, and 9 ± 0.7 W/kg, respectively. Postural stability index 0.18 ± 0.06, single leg stability index 0.82 ± 0.11, reaction time 0.344 ± 0.032 s, 10 × 5-m shuttle run 17.09 ± 0.68 s, 30-meter sprint 4.60 ± 0.23 s, and vertical jump 43.5 ± 6.1 cm were the other values reported. The highest scores for the 12 mental skills in OMSAT-3 were for goal setting (6.25 ± 0.45) and self-confidence (6.16 ± 0.45). The lowest score was for Imagery (5.64 ± 0.36). The results of six mood states of POMS showed higher scores on the Vigor-activity, Anger-Hostility and Tension-Anxiety scales and lower scores on Depression-Dejection, Fatigue-Inertia and Confusion-Bewilderment than norms.

Conclusions: The findings of this study revealed the physical, physiological, and psychological characteristics in taekwondo. The results of the tests could be useful for performance assessment of taekwondo players.
The interaction of female age and active male smoking has negative influence on success rates of the in vitro fertilization treatments
Authors: Petanovska Kostova E 
Published: August 2020

Abstract
This study monitors the effect of male smoking and age of the woman on the success of the intracytoplasmic sperm injection (ICSI) fertilization process as part of the assisted reproduction technique (ART). A total of 703 couples in the in vitro fertilization (IVF) program were included. Binary logistic regression analysis was used to study the effect of male smoking on clinical pregnancy rate and live birth rate. The results from the study showed that interaction of male smoking and women’s age (>35 years) have significant negative impact on ongoing pregnancy rate and live birth rate.
Family Business Operations and Sequel of Internationalisation in Nigeria
Authors: Akinbola Amos Olufemi , Alaka Nureni Sanusi , Kowo Solomon Akpoviroro , Adeyemo Adesola Alex 
Published: August 2020

Abstract
The concept of family business in Nigeria has become significantly attractive; its root is in sole proprietorship form of business. Family businesses have the unique strength to separate culture, language and personality. The research analyses the effect of interpersonal relationship on internationalisation and determines the extent to which succession planning affects internationalisation. Research presents that a positive relationship exists between internationalisation and interpersonal relationship. It has also been discovered that no positive relationship exists between succession planning and internationalisation. This study therefore concludes that family businesses which proceed to internationalisation enjoy growth in productivity, adequate brand awareness in the world, diversification of political and financial risks, as well as experience an increase in the share of the market, capital base, asset and open up opportunities in regional markets for workers. The study also recommends that employees in family businesses should communicate with each other effectively for a healthy relationship and managers should not make secret preparations for successors.
Cell proliferation and anti-oxidant effects of oxytocin and oxytocin receptors: role of extracellular signal-regulating kinase in astrocyte-like cells
Authors: Alanazi Mohammed M. , Havranek Tomas , Bakos Jan , Cubeddu Luigi X. , Castejon Ana M. 
Published: August 2020

Abstract

Objectives. Oxytocin (OXT) participates in various physiological functions ranging from reproduction to social and non-social behaviors. Recent studies indicate that OXT affects cell growth and metabolism. Here we characterized the growth stimulating and antioxidant actions of OXT and of OXT receptors (OXTR) in a glial cell-line (U-87MG).

Methods. We developed an OXTR-knockdown cell-line (U-87MG KD) to establish the receptor specificity of OXT’s actions, and the impact of lacking OXTR on growth and survival in glial cells. The role Extracellular-Signal Regulated Kinases (ERK1/2) on glial cell protection against consequences of oxidative stress, and cell proliferation was investigated.

Results. In U-87MG cells, OXT stimulated cell proliferation and increased ERK1/2 phosphorylation. The specific ERK1/2 inhibitor, PD098059, produced marked inhibition of cell proliferation, and antagonized the stimulating effect of OXT on ERK1/2 phosphorylation and on cell proliferation. Slower growth rates and lower levels of phosphorylated ERK1/2 were observed in OXTR-knockdown cells and in U-87MG cells treated with an OXTR antagonist (L-371,257). In addition to increasing cell proliferation, OXT significantly blunted the rise in reactive oxygen species induced by H2O2, and antagonized the reductions in cell viability induced by H2O2 and camptothecin. The cell protective and antioxidant actions of OXT in U-87MG cells were not observed in the OXTR-knockdown cells.

Conclusion. OXT stimulates the growth of astrocyte-like cells acting on OXTR via ERK1/2 phosphorylation. The protection against apoptosis and the antioxidant capacity of OXT may contribute to the observed increase in cell proliferation. Oxytocin and OXTR appear to be fundamental for cell growth and viability of glial cells.
ERN1 knockdown modifies the effect of glucose deprivation on homeobox gene expressions in U87 glioma cells
Authors: Tsymbal Dariia O. , Minchenko Dmytro O. , Khita Olena O. , Rudnytska Olha V. , Viletska Yulia M. , Lahanovska Yulia O. , He Qiuxia , Liu Kechun , Minchenko Oleksandr H. 
Published: August 2020

Abstract

Objective. The aim of the present investigation was to study the expression of genes encoding homeobox proteins ZEB2 (zinc finger E-box binding homeobox 2), TGIF1 (TGFB induced factor homeobox 1), SPAG4 (sperm associated antigen 4), LHX1 (LIM homeobox 1), LHX2, LHX6, NKX3-1 (NK3 homeobox 1), and PRRX1 (paired related homeobox 1) in U87 glioma cells in response to glucose deprivation in control glioma cells and cells with knockdown of ERN1 (endoplasmic reticulum to nucleus signaling 1), the major pathway of the endoplasmic reticulum stress signaling, for evaluation of it possible significance in the control of glioma growth through ERN1 signaling and chemoresistance.

Methods. The expression level of homeobox family genes was studied in control (transfected by vector) and ERN1 knockdown U87 glioma cells under glucose deprivation condition by real-time quantitative polymerase chain reaction.

Results. It was shown that the expression level of ZEB2, TGIF1, PRRX1, and LHX6 genes was up-regulated in control glioma cells treated by glucose deprivation. At the same time, the expression level of three other genes (NKX3-1, LHX1, and LHX2) was down-regulated. Furthermore, ERN1 knockdown of glioma cells significantly modified the effect glucose deprivation condition on the expression almost all studied genes. Thus, treatment of glioma cells without ERN1 enzymatic activity by glucose deprivation condition lead to down-regulation of the expression level of ZEB2 and SPAG4 as well as to more significant up-regulation of PRRX1 and TGIF1 genes. Moreover, the expression of LHX6 and NKX3-1 genes lost their sensitivity to glucose deprivation but LHX1 and LHX2 genes did not change it significantly.

Conclusions. The results of this investigation demonstrate that ERN1 knockdown significantly modifies the sensitivity of most studied homeobox gene expressions to glucose deprivation condition and that these changes are a result of complex interaction of variable endoplasmic reticulum stress related and unrelated regulatory factors and contributed to glioma cell growth and possibly to their chemoresistance.
Determinants of wound healing in patients hospitalized for diabetic foot ulcer: results from the MEDFUN study
Authors: Ezeani Ignatius U. , Ugwu Ejiofor T. , Adeleye Funmi O. , Gezawa Ibrahim D. , Okpe Innocent O. , Enamino Marcelina I. 
Published: August 2020

Abstract

Objective. The high amputation rates from diabetic foot ulcer (DFU) in Nigeria and prolonged hospitalization due to poor wound healing is a source of concern. Furthermore, factors that affect wound healing of DFUs have not yet been well studied in Nigeria, whereas knowing these factors could improve DFU outcomes. Therefore, the objective of this study was to determine the factors that are associated with the wound healing in patients hospitalized for DFU.

Methods. The Multi-Center Evaluation of Diabetic Foot Ulcer in Nigeria (MEDFUN) was an observational study involving 336 diabetic patients hospitalized for DFU and managed by a multi-disciplinary team until discharge or death. Demographic, clinical, and biochemical characteristics were documented. Test statistics used were chi square, t-test, univariate, and multivariate logistic regression. The study endpoints were ulcer healing, LEA, duration of hospitalization, and mortality. Here we present data on wound healing.

Results. The mean ± SD age was 55.9±12.5 years. Univariate predictors of wound healing were ulcer duration more than 1 month prior to hospitalization (p<0.001), peripheral arterial disease (PAD) (p<0.001), foot gangrene (p<0.001), Ulcer grade ≥3 (p=0.002), proteinuria (p=0.005), anemia (p=0.009), renal impairment (p=0.021), glycated hemoglobin ≥7% (0.012), and osteomyelitis (p<0.001). On multivariate regression, osteomyelitis was the strongest independent predictor of wound healing after adjusting for all other variables (OR 0.035; 95% CI 0.004–0.332). This was followed by PAD (OR 0.093; 95% CI 0.028–0.311), ulcer duration >1 month (OR 0.109; 95% CI 0.030–0.395), anemia (OR 0.179; 95% CI 0.056–0.571).

Conclusion. Presence of osteomyelitis, duration of ulcer greater than 1 month, PAD, Wagner grade 3 or higher, proteinuria, presence of gangrene, anemia, renal impairment, and HbA1c ≥7% were the significant predictors of wound healing in patients hospitalized for DFU. Early identification and prompt attention to these factors in a diabetic foot wound might significantly improve healing and reduce adverse outcomes such as amputation and death.
The Use of Multidimensional Statistical Analysis Methods in the Burnout Study of Teachers and Lecturers at Universities
Authors: Bąk Iwona , Wawrzyniak Katarzyna 
Published: August 2020

Abstract

Research background: The study was conducted and based on the project The assessment of mental condition, financed by the Ministry of Health as part of the National Health Program for 2016–2020 (operational objective 3: Prevention of mental health problems and improvement of mental well-being of society). The article focuses on a group of teachers and university lecturers from eight voivodeships selected for the study, whereas burnout was selected from the areas of mental disorders.

Purpose: The main objective of the study was to identify the regularities in the relationship between the level of professional burnout and selected demographic characteristics in the group of teachers and university lecturers. Additionally, the spatial diversity of the percentage of respondents diagnosed with occupational burnout was examined.

Research methodology: Two methods from the multi-dimensional statistical analysis were used: a classification tree analysis, and a correspondence analysis.

Results: The methods used allowed to classify the studied professional group in terms of the degree of occupational burnout. The results obtained using both the classification trees and multidimensional correspondence analysis allowed the identification of similar regularities regarding the impact of demographic variables on the level of occupational burnout.

Novelty: The application of multidimensional statistical analysis methods to study mental health based on individual, unique data from eight Polish voivodeships.
The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers
Authors: Kubus Mariusz 
Published: August 2020

Abstract

Research background: The successful learning of classifiers depends on the quality of data. Modeling is especially difficult when the data are unbalanced or contain many irrelevant variables. This is the case in many applications. The classification of rare events is the overarching goal, e.g. in bankruptcy prediction, churn analysis or fraud detection. The problem of irrelevant variables accompanies situations where the specification of the model is not known a priori, thus in typical conditions for data mining analysts.

Purpose: The purpose of this paper is to compare the combinations of the most popular strategies of handling unbalanced data with feature selection methods that represent filters, wrappers and embedded methods.

Research methodology: In the empirical study, we use real datasets with additionally introduced irrelevant variables. In this way, we are able to recognize which method correctly eliminates irrelevant variables.

Results: Having carried out the experiment we conclude that over-sampling does not work in connection with feature selection. Some recommendations of the most promising methods also are given.

Novelty: There are many solutions proposed in the literature concerning unbalanced data as well as feature selection. The innovative field of our interests is to examine their interactions.
Housing Poverty in Polish Households and its Diversity
Authors: Ulman Paweł , Ćwiek Małgorzata 
Published: August 2020

AbstractResearch background:The European Housing Charter defines housing as a basic necessity, but also a fundamental social right underpinning the European social model as well as an element of human dignity. Housing conditions constitute a major element of the broader quality of life for individuals and society.Purpose:The aim of this paper is to assess the level of housing poverty in general and in selected areas of an assessment of Polish households due to the selected socio-demographic characteristics of the respondent or household.Research methodology:The study was conducted on the basis of micro-data from the Household Budget Survey of 2017. To determine the housing poverty risk for each household the Integrated Fuzzy and Relative approach was used, which allows for the aggregation of symptoms measured on different measuring scales into the one risk assessment of poor housing conditions. This assessment, overall and in specific areas of housing poverty, became the basis for the study of the factors differentiating this kind of poverty. For this purpose, regression trees were used.Results:The greatest risk of housing poverty was observed in households living in rural areas, in families with many children, in the households of single mothers or fathers, as well as in households living on unearned sources of income.Novelty:The use of the Integrated Fuzzy and Relative approach for housing poverty research is an innovative approach and is applied in the paper.
The Use of the Incomplete Tetrad Method for Measuring the Similarities in Nonmetric Multidimensional Scaling
Authors: Zaborski Artur 
Published: August 2020

Abstract

Research background: So far, many methods of direct measurement of similarity in multidimensional scaling have been developed (e.g. ranking, sorting, pairwise comparison and others). The method selection affects the subjective feelings of the respondents, i.e. fatigue, weariness resulting from making numerous assessments, or difficulties in expressing similarity assessments.

Purpose: In the proposed method, for all four-element sets (tetrads) of objects a respondent is asked to pick out the most similar and the least similar pair. Because the number of tetrads increases very rapidly with the number of objects, the aim of the study is to indicate the possibility of measuring similarities based on the reduced number of tetrads.

Research methodology: In order to make scaling results independent from respondents’ subjective effects the analysis was made on the basis of the given distance matrix. To construct perceptual maps based on tetrads, multidimensional scaling with the use of the MINISSA program was performed. The quality of matching the resulting points configuration to the configuration determined based on the distance matrix was tested by a Procrustes statistic.

Results: It was demonstrated that the choice of the incomplete set of tetrads has no significant effect on the results of multidimensional scaling, even when all pairs of objects in tetrads cannot be presented equally frequently.

Novelty: An original method for calculating similarities in nonmetric multidimensional scaling.
Some Hadamard and Simpson type inequalities via s-convexity and their applications
Authors: Çakmak Musa , Tunç Mevlüt 
Published: August 2020

Abstract
In this study, the authors establish and generalize some inequalities of Hadamard and Simpson type based on s-convexity in the second sense. Some applications are also given and generalized. Examples are given to show the results. The results generalize the integral inequalities in articles of Sarikaya and Xi.
Brexit Damage Limitation: Tariff-Jumping FDI and the Irish Agri-Food Sector
Authors: Barry Frank , Sun Xiaolu , Hogan Benn F. 
Published: August 2020

Abstract
A ‘hard Brexit’ would be particularly damaging to the Irish beef and dairy sectors. The UK also exports substantial amounts of these products to the EU however and the vacuum that restrictions on UK access to the EU market would create affords opportunities for Irish-based producers. The aim of the paper is to assess how these opportunities might be best exploited. The results of a revealed comparative advantage (RCA) analysis conducted using international trade data do not prove encouraging. RCA analysis however implicitly treats the stock of foreign direct investment (FDI) as given. Newspaper reports are drawn upon to detail the extent of precautionary ‘tariff jumping’ FDI already undertaken by Irish agri-businesses. These flows thus far have been almost entirely one-way. Flows in international financial services have been in the opposite direction. These asymmetries suggest that targeted efforts by Ireland's industrial development agencies may be able to offset some of the damaging consequences of a hard Brexit.
Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment
Authors: Djurović Igor , Simeunović Marko , Lukin Vladimir V. 
Published: August 2020

Abstract
Estimation of the direction-of-arrival (DOA) and parameters of polynomial phase signal (PPS) impinging on the uniform linear array (ULA) of sensors in heavy-tailed noise environments is considered in this paper. To estimate signal parameters, a recently proposed quasi maximum-likelihood (QML) estimator is adopted. The proposed algorithm consists of two successive steps: (1) noise influence mitigation by using the proposed normalization strategy and (2) signal parameters estimation using the DOA-QML approach. The algorithm performance is evaluated for both monocomponent and multicomponent signals.
Cogging torque in slotless permanent magnet machines
Authors: Vukotić Mario , Rodić Danijel , Benedičič Boris , Miljavec Damijan 
Published: August 2020

Abstract
Slotless permanent magnet machines theoretically do not produce any cogging torque, provided the stator inner surface reluctance remains unchanged. However, a cogging torque may occur due to a change in the electromagnetic design following material cost reduction in the manufacturing process. When the electromagnetic design is changed to reduce the waste in the manufacturing process (stamping of the laminations) by dividing the stator toroidal ferromagnetic core into two equal parts, gluing them together introduces a very small non magnetic gap between them, which affects the stored magnetic energy along the circumference and consequently gives rise to occurrence of a cogging torque. Using the finite element method its value is analyzed analytically and verified by a laboratory measurement. Results of our work, presented in this paper, will help scientists and engineers to understand and avoid the causes for the occurrence of the cogging torque in designing slotless permanent magnet machines, where the design itself is subjected to the manufacturing process.