Statistical Relationship Research Articles

Earthquake Source database for Chinese strong motion flatfile in 2007-2020

The National Strong-Motion Observation Network System of China has collected over 12000 strong-motion recordings from 2007 to December 2020. This study compiled the source-related metadata of totally 1920 earthquakes associated with assembled well-processed recordings of China. The earthquake basic information, focal mechanisms, and the fault geometry were collected from various institutes and literature. We recommended the MW values for 900 earthquakes, the fault types for 1064 earthquakes, and the fault geometries for 18 large earthquakes. We also performed the statistics analysis for establishing the empirical conversions of MW-MS, and ML, and providing the empirical relationships between MW and ruptured area, aspect ratio, respectively. Moreover, the ruptured fault geometries of large earthquakes were used to preliminarily divide all earthquakes considered into 1141 mainshocks, and 779 aftershocks. The finite-fault distances (RJB and Rrup) of strong-motion recordings from the 18 large earthquakes were calculated, and then used to yield the statistic relationships between the point-source distances (Repi and Rhyp) and finite-fault distances. We finally provided the earthquake source database freely accessible at website. The source-related metadata can be directly applied to develop the ground motion prediction equations of China.

Modelling and optimization of electrodeposited amorphous Fe-P alloys using central composite design and response surface method

Central composite circumscribed (CCC) design and response surface methodology (RSM) were used to model and optimize the electrodeposition of amorphous Fe-P alloys. Based on our previous single-factor experimental results, the significance of influencing factors was ranked using analysis of variance (ANOVA) method. Three factors, significantly impacting the P content in deposits, hardness and corrosion current density, were identified, including bath temperature, pH values and H2PO2− concentration. The statistic relationships between process parameters and individual responses were established based on the CCC experimental data and RSM. The optimal parameters for each response were derived and the influences of interaction terms were investigated. The predicted maximum P content of 26.35 wt% was achieved at a bath temperature of 60℃, a pH of 1.2 and H2PO2− concentration of 60 g/L. The predicted highest microhardness was 534 HV0.1 under the optimal conditions of temperature of 60 ℃, pH value of 1.6 and H2PO2− concentration of 49 g/L. The lowest corrosion current density was predicted to be 1.34 μA·cm−2 under the conditions of a bath temperature of 60℃，a pH value of 1.2, and a H2PO2− concentration of 53 g/L. A desirability function was applied to explore the optimal comprehensive performance of both high hardness and low corrosion current density. The optimal parameter combination for comprehensive performance was bath temperature of 60℃, pH of 1.4, and H2PO2− concentration of 49 g/L, and the resulting hardness and corrosion current density were 527 HV0.1 and 2.40 μA·cm−2, respectively. Due to the complex electrodeposition mechanism of amorphous Fe-P alloys, the predicted P content in deposits largely deviated from the experimental result, but the hardness, corrosion current density and comprehensive performances show high prediction accuracy.

Study of the Relationship Between Insulin Resistance, Iron Status Markers, and Body Weight in a Sample of Egyptian Population.

Iron plays a key role in the regulation of body iron homeostasis and is used as a clinical marker for iron deficiency (ID) and hemochromatosis. The idea that iron dysregulation may contribute to various metabolic diseases, such as obesity, insulin resistance, MetS, and T2DM, is a hot topic of discussion. The aim of this study is to investigate the relationship insulin resistance, iron status markers, and body weight in a sample of Egyptian population. A case control study was conducted on 90 subjects with age ranging from 18 to 70 years old from a diabetes outpatient clinic, and they were divided to three groups: Group I, non-obese- non-diabetic as the control group; Group II, obese-non-diabetic; and Group III, obese-diabetic. In our study, there was no statistically significant difference between the three studied groups regarding the different iron parameters. Similarly, we found that neither HOMA-IR nor body weight had a significant correlation with iron status markers. On the contrary, we detected significant positive correlations between the TIBC and the fasting blood glucose, between the serum iron and the LDL, between the TSAT and the systolic blood pressure, and between the HOMA-IR and hematocrit. Our study demonstrated no direct statistical significant relationship between the different iron parameters, obesity, and insulin resistance, either in the diabetic or non-diabetic subjects. This may be due to the complex metabolic dysregulation and the small number of the sample for future investigations.

Organisational ethics context factors in a public energy utility company: A millennial view

Orientation: Millennials have become the largest age cohort in the modern world of work. Understanding the phenomenological experiences of millennials may be the key to facilitating more ethical organisational cultures.Research purpose: The aim of this article is to explore the lived, working experiences of millennials’ organisational ethics contexts factors as predisposed by ethical leadership in an organisation in the energy sector.Motivation for the study: An extensive body of research exists concerning the statistical relationship between ethical leadership, ethical culture, and workplace ethics climates. However, less explored is qualitative studies regarding millennials’ work experiences of organisational ethics context factors.Research design, approach and method: A qualitative research design was selected. Purposive and convenience sampling were utilised. The sample included eight millennials, and face-to-face interviews were used for data collection. Data were analysed by means of content analysis.Main findings: The findings suggest an ambivalent and paradoxical split in how millennials experience the ethical context factors in the participating organisation.Practical and managerial implications: The study has implications for the type of leadership styles that should be considered when engaging with millennials. Top human resource management could use the results to create a working environment that actively fosters psychological attachment, satisfaction, and boosts employee commitment.Contribution or value added: Expanding and enhancing the comprehension of how ethical leadership contributes to the theory of ethical leadership in the work context.

Practices and pain points in personal records

Introduction. This paper reports the findings of a survey on personal electronic records management practices focussing on records that people deal with in their everyday lives at home. The aim of this research was to determine which personal electronic records practices were most effective in averting oversights and generating satisfaction in participant’s records management practices. This paper presents one stage of a broader design science research program. Method. The research for this paper was conducted by means of an online questionnaire using Qualtrics software and participants were recruited through social media. Analysis. Analysis was conducted using tabular analysis in SPSS, and Principal Component Analysis in R. Results. The research found that there is a statistical relationship between the practices that respondents adopted with their personal electronic records management and their level of satisfaction with that process. For example, respondents who saved records on a computer or in the cloud reported higher levels of satisfaction with how they managed their personal records and experienced fewer adverse incidents such as losing documents or failing to pay bills on time. Conclusion. The paper concludes by identifying some specific personal records management practices that are likely to improve satisfaction with that task, such as saving and sorting records that need to be retained outside of email in a structured filing system.

Serum Prostat-Spesifik Antijen Düzeyi 2,5-10 Ng/Ml Arasındaki Erkeklerde İki Kadeh Testinin Prostat Biyopsisi ve Asemptomatik Prostat İnflamasyonu Varlığı ve Derecesiyle İlişkisinin Araştırılması

Objective: Prostate-specific antigen (PSA) is a marker used to detect prostate cancer. When high PSA values are detected, a prostate biopsy is performed considering the possibility of prostate cancer. PSA elevation is not specific to prostate cancer, but may also be caused by conditions such as benign prostatic hyperplasia (BPH), urinary tract infection, and chronic prostatitis. Prostate cancer is not detected in approximately 66% of patients undergoing a biopsy, and patients are exposed to unnecessary biopsy and biopsy complications. Chronic prostatitis is detected in approximately 40% of these biopsies. The two-glass test is based on examining urine before and after rectal examination, which is used in diagnosing chronic prostatitis. In this study, we aimed to reveal the two-glass test’s effectiveness in predicting the incidence of prostatitis and inflammation in patients with a PSA value of 2.5-10 ng/ml and who underwent prostate needle biopsy.
 
 Methods: Fifty-two male patients, aged between 50 and 78 years, with PSA values between 2.5 and 10 ng/ml, who applied to our clinic were included in the study. EPS-two-glass test and prostate biopsy were applied to all patients. EPS; is a sample obtained by removing the fluid from the urethra after a prostate massage; VB-3; shows the urine produced by taking about 10 ml of urine voided after massage. EPS and VB3 detect prostate infection. Under the microscope, ≥10 leukocytes were considered significant for prostate inflammation. According to the pathology results, the patients were divided into 3 groups; prostate cancer, BPH, and chronic prostatitis. The chronic prostatitis group was classified according to the histopathological calcification described by Nickel.
 
 Results: In this study, the ratio of chronic prostatitis was found to be 38%. VB3 positivity was found to be statistically significant in the chronic prostatitis group compared to the other groups (p = 0.028). Although there was no statistically significant difference between the prevalence of inflammation and PSA elevation, PSA was found to be higher in the multifocal inflammation subgroup than in the focal inflammation patient group.
 
 Conclusion: The relationship between chronic prostatitis and PSA elevation remains a mystery. Although no statistical relationship was found between inflammation and PSA elevation in this study, the significant correlation between chronic prostatitis and VB3 positivity reinforces the possibility of this relationship. We believe that our results will form the basis for further studies to avoid unnecessary biopsies.

Proactive safety assessment of urban through-roads based on GPS data

Road safety is a worldwide issue, while urban roads account for a high share of serious road injuries, especially involving vulnerable road users, such as pedestrians or cyclists. Specifically, the safety of major roads through built-up areas (through-roads) is insufficient due to mixed traffic conditions including vulnerable road users, varying driving behaviour, and many disruptions, which are combined with excessive speed.. In this context, various traffic calming measures have been implemented to improve road safety, such as gateways or pedestrian refuge islands. However, the specific safety impacts of traffic calming combined with specific characteristics of through-roads are often unknown, since most traditional evaluations have been limited by small sample sizes of crash data, as well as wide variations in physical and road characteristics. To overcome the limitations of crash-based evaluations, we used the GPS-based data from a sample of 21 Czech and 12 Polish through-roads to develop the Speed-Safety Index, which combines speed, speed variance, and traffic volume. Our study has three novelty features: (1) To assess safety, we used speed and speed variance simultaneously. (2) To complete the missing link between specific traffic calming measures and safety, we validated the statistical relationship between the developed Speed-Safety Index and crash history. (3) To prove the usefulness of the developed index, we also showed its practical interpretation by proving the effect of spacing between traffic calming measures on safety. The index proved to be well correlated to crash frequency and it also proved the effect of spacing between traffic calming measures: the longer spacing, the smaller speed-reducing effect. The paper concludes with a discussion on the limitations, which we plan to address in further research, by moving from the current macro-perspective (Speed-Safety Index on the level of through-roads) to the micro-perspective (focusing on individual directions, locations, and traffic calming measures). We also plan to investigate the method’s applicability in different contexts. If the approach proves feasible, with reliable and valid results, it may become an alternative for a proactive network-wide road assessment, as called for by the European Road Infrastructure Safety Management Directive.

Assessing physicians’ knowledge, attitude, and practice on anticoagulant therapy in non-valvular atrial fibrillation: Syrian insights

BackgroundAtrial fibrillation (AF) is the most prevalent cardiac condition linked to increased mortality due to complications such as stroke. Oral anticoagulant (OAC) is the mainstay in preventing cerebrovascular accidents in patients with AF. Recent evidence identified gaps in physician’s knowledge in diagnosing and managing patients with AF. This study aims to assess Syrian physicians’ knowledge, attitude, and practices regarding the use of anticoagulant therapy in non-valvular AF (NVAF) patients. A cross-sectional study was conducted using a validated web-based questionnaire, which included 56 items separated into four sections that collected information about demographics, knowledge, attitude, and practices. Chi-square and Kruskal Wallis were performed to analyze the statistical relationships between the knowledge, attitude, practice, and demographic variables.ResultsA total of 497 participants completed the survey, of which 62.6% were between the ages of 25 and 35. The average participant scores for knowledge, attitude, and practices were (48.18 ± 21.57), (81.54 ± 9.26), and (62.83 ± 12.42), respectively. Participants who demonstrated good understanding, a positive attitude, and good practices were 22.3%, 87.3%, and 25.4%, respectively. The fear of bleeding was identified as the most significant barrier to initiating anticoagulant medication in AF patients (55.5%). Doctors who attended training had a better knowledge score than those who did not (mean ± S.D. = 57.24 ± 20.7). Participants who stated that over 70% of their AF patients use aspirin received the highest attitude score (mean ± S.D = 86.98 ± 21.17). PhD participants reported higher practice scores than those with other educational backgrounds (mean ± S.D = 73.96 ± 11.3).ConclusionThis research showed that primary care physicians in Syria had optimistic views regarding OAC therapy, suggesting that training interventions targeting physicians may lead to improvement in the treatment of patients with NVAF in Syria.

The relationship between the level of postural stress, Musculoskeletal Disorders, and chronic fatigue: A case study in the dairy industry.

Dairy industry workers face numerous ergonomic risk factors in their workplace, including improper posture, manual material handling, and musculoskeletal disorders (MSDs). Fewstudies have been conducted on the correlation of postural stress, MSDs, and chronic fatigue among workers in the dairy industry. This study aimed to investigate the relationship between the level of postural stress, MSDs, and chronic fatigue in a dairy company. In this cross-sectional study, 260 male workers were included in the research based on specific inclusion criteria. The Cornell Musculoskeletal Discomfort Questionnaire, Chalder Fatigue Scale, and a researcher-made demographic questionnaire were used to collect data. The posture of workers was evaluated using RULA and REBA software, and the evaluation of the manual lifting of loads was assessed using the WISHA lifting calculator. Finally, the collected data were entered into the SPSS software version 26.0 and analyzed. The findings revealed a significant statistical relationship between the level of postural stress and chronic fatigue and a significant positive correlation between MSDs and chronic fatigue. Furthermore, a statistically significant relationship was observed between MSDs, chronic fatigue, and ergonomics training experience. The results obtained in this study support the notion that high levels of postural stress and MSDs can produce an increase in chronic fatigue among workers, and lack of ergonomics training for workers can increase both MSDs and chronic fatigue. Therefore, it is necessary to carry out intervention measures in the field of ergonomics management in similar industries through the implementation of ergonomic intervention programs with a focus on proactive and preventive measures and the use of participatory ergonomic programs and educational demands assessment.

Navigating Sustainability in Malaysian Logistics: An Exploration of Operational Factors and Sustainable Logistics Performance

As the global logistics industry undergoes a paradigm shift towards sustainability, this research investigates the intricate relationships between key operational dimensions and sustainable logistics performance within the context of the Malaysian logistics sector, with a focus on Selangor. The study adopts a cross-sectional research design and employs a stratified random sampling method to select 150 members from a list of 4,000 logistics service association members. A structured questionnaire, encompassing green customer relationships, sustainable transportation, eco-friendly warehouse operations, digital transformation initiatives, and sustainable logistics performance, is utilized to collect both quantitative and qualitative data. The study aims to analyze the data using multiple regression analysis to discern the statistical relationships between independent and dependent variables. This research not only contributes to the body of knowledge in sustainable logistics but also provides actionable insights for logistics professionals and policymakers in Selangor, guiding the industry towards a more sustainable and environmentally conscious future. The findings from this study is that Green Customer Relationship, Green Transportation and Green Operations positively impact the Sustainable Logistics Performance.

Effects of Meteorological Factors on Asthma Hospital Visits in Haikou City, China

The effects of meteorological conditions on asthma in Haikou, a tropical city in China, are still unclear. This study aimed to determine the relationships between meteorological factors and the number of asthma hospital visits in Haikou. A Poisson generalized additive model combined with a distributed lag nonlinear model is used to model the nonlinear exposure–response relationship between the daily mean temperature and asthma hospital visits. The daily mean pressure and air quality are used as covariates and simultaneously control the mixed effects of holiday effects, weekend effects, and long-term trends. The results indicate that there is a significant statistical relationship between the daily mean temperature and asthma hospital visits, which shows an inverted J-shaped relationship. When the daily mean temperature is below the reference value (29.3 °C), the number of asthma patients increases considerably, and there is a marked lag in the prevalence of asthma. The longest lag is 9 days, and the most pronounced impact of the daily mean temperature on the number of asthma hospital visits can be found when the lag time is 1–4 days. When the daily mean temperature is 10 °C, the cumulative effect of the relative risk of asthma is 2.204, an increase of 120.4% (95% CI 1.294–3.755). If the daily mean temperature is below the 2.5th percentile value (14.8 °C), the relative risk significantly increases by more than 5.3% (95% CI 1.000–1.110), and the longest lasting impact time is 5 days. This indicates that increases in asthma hospital visits in Haikou, China, are significantly correlated with low-temperature weather. We suggest that preventive measures for asthma should take low-temperature weather into account. Additionally, we also found that extremely high temperatures have a certain impact on the increase in asthma hospital visits, but that the correlation is not significant.

Increasing Farmers' Income in the Agricultural Sector in Central Java

In the agricultural sector of Central Java, this study examines the relationship between supply chain effectiveness, government policies, infrastructure development, and farmers' income. This study investigates the current status of infrastructure accessibility, government regulations, supply chain dynamics, and income sources through quantitative analyses involving 250 farmers. To verify and examine the correlation between the variables, structural equation modelling with partial least squares, or SEM-PLS, was used. Variations in the level of supply chain efficiency, farmers' attitudes towards government policies, infrastructure quality, and income distribution are shown by descriptive statistics. All proposed hypotheses were supported by the structural model, and the measurement model showed excellent levels of validity and reliability. The results of this study highlight the importance of infrastructure, sensible public policies, and efficient supply chains in increasing farmers' income. There is a discussion of practical consequences and suggestions for stakeholders and policymakers, with a focus on the need for focused action to improve the socio-economic conditions of farmers in Central Java. Although the statistical relationship between these variables is strong, farmers and the government are highly interdependent, so the real implications for the government to improve farmers in Central Java include regulation and distribution similar to other big cities.

Perceived Product Quality and Economic Value on Badminton Players’ Purchase Intentions: An Empirical Study on Synthetic Feather Shuttlecocks

This study explores the interrelationships among customer perceived value (CPV), technology acceptance model (TAM), and purchase intention in the context of Taiwan’s badminton market for synthetic feather shuttlecocks. The appropriate theoretical and practical statistical relationships among these constructs are developed and verified. Using survey data from 206 out of 500 randomly selected badminton players, this study employs structure equation modeling (SEM) to scrutinize the research hypotheses. The findings reveal that (1) perceived product quality has significant influences on perceived usefulness, perceived ease of use, and behavioral intentions, (2) perceived economic value (price) has noteworthy effects on perceived usefulness and behavioral intentions, (3) both perceived usefulness and perceived ease of use have significant impacts on behavioral intentions, & (4) the indirect impacts of both perceived quality and perceived economic value (price) on behavioral intentions confirm the mediating effects of perceived usefulness and perceived ease of use. This pioneer exploratory research offers practical guidelines for promotion strategies. The findings and the statistical results provide supportive evidence for implementing appropriate sports marketing management on antecedents of purchase intention to reinforce the appreciation of synthetic feather shuttlecocks.

Temporal Scaling Characteristics of Sub‐Daily Precipitation in Qinghai‐Tibet Plateau

AbstractThe Qinghai‐Tibet Plateau (QTP) is highly susceptible to destructive rainstorm hazards and related natural disasters. However, the lack of sub‐daily precipitation observations in this region has hindered our understanding of rainstorm‐related hazards and their societal impacts. To address this data gap, a new approach is devised to estimate sub‐daily precipitation in QTP using daily precipitation data and geographical information. The approach involves establishing a statistical relationship between daily and sub‐daily precipitation based on data from 102 observation sites. This process results in a set of functions with six associated parameters. These parameters are then modeled using local geographical and climatic information through a machine learning algorithm called support vector regression. The results indicated that the temporal scaling characteristics of sub‐daily precipitation can be accurately described using a logarithmic function. The uncertainty of the estimates is quantified using the coefficient of variance and coefficient of skewness, which are estimated using a logarithmic and linear curve, respectively. Additionally, the six parameters are found to be closely linked to geographical conditions, enabling the creation of a 1‐km parameters data set. This data set can be utilized to quantitatively describe the probabilistic distribution and extract key information about maximum precipitation duration (from 1 to 12 hr). Overall, the findings suggest that the generated parameters data set holds significant potential for various applications, including risk analysis, forecasting, and early warning for rainstorm‐related natural disasters in QTP. The innovative method developed in this study proves to be an effective approach for estimating sub‐daily precipitation and assessing its uncertainty in ungauged regions.

Exploring hydrological controls on dissolved organic carbon export dynamics in a typical flash flood catchment using a process-based model

The dynamics of dissolved organic carbon (DOC) export from headwater catchments are of critical importance for the global carbon balance and are driven by complex runoff processes. Most previous studies have used statistical relationships between runoff and DOC concentration to estimate DOC export dynamics. Thus, the coupling mechanisms between runoff generation and DOC export dynamics at the process level were obscured in the fitting parameters and have rarely been addressed. In this study, high-frequency (hourly) discharge and DOC export from a typical flash flood experimental headwater catchment with an area of 1.8 km2 were simulated using a process-based model (INCA-C). The results showed that the INCA-C model successfully captured the hourly dynamics of both discharge and DOC concentrations with a Nash–Sutcliffe efficiency (NSE) of 0.47–0.81 and 0.28–0.70 among moderate events and 0.81–0.85 and 0.19–0.90 among extreme events, respectively. The DOC was exported with distinct concentration dynamics, fluxes, and contributions from the four flow pathways under different storm intensities. At higher intensities, the DOC fluxes were exported by subsurface flows, particularly from shallow organic soil, with greater peaks and shorter time-to-peaks. Exported DOC is primarily sourced from subsurface runoff from the mineral layer (73 %–77 %) during moderate events, whereas it is primarily sourced from subsurface runoff from the organic layer (61 %–79 %) during extreme events. The two contrasting contributions suggest that hydrological pathway controls and DOC dynamic patterns can shift owing to runoff generation influenced by storm intensity. The distinct and variable controls of different flow pathways on DOC export highlight the need to explain the role of hydrology in regulating DOC storm exports through process-based modelling.

Continental lowlands face rising crop vulnerability: structural change in regional climate sensitivity of crop yields, Hungary (Central and Eastern Europe), 1921–2010

Central and Eastern Europe (CEE) is a pillar of global wheat and maize production. However, certain areas within the CEE region have become climate change hotspots, experiencing intensifying water deficits and drought pressure, rising mean and maximum temperatures. This study focuses on the long-term statistical relationships between climatic factors and rain-fed wheat and maize yields for different landscape types in Hungary over 30-year time windows between 1921 and 2010. The relationship between the variances of the detrended climatic parameters and crop yields was tested employing both simple and multifactorial linear models according to landscape types and periods. The sensitivity of wheat yields to spring–summer mean temperature shifted dynamically from the western part of the country to east (from cooler and wetter hilly landscapes to plains) between the periods 1921–1950 and 1981–2010. The cooling observed in summer temperature between the periods 1921–1950 and 1951–1980 supported an increase in wheat yields by an estimated 0.11–0.43 t ha−1 year−1, while the 0.9–1.2 °C warming of May–July temperature may have cut wheat yields by an estimated 0.44–0.56 t ha−1 year−1 in various regions over 1981–2010. That being said, the regional sensitivity of wheat yields to May–July mean temperature did not display substantial differences between the periods 1921–1950 and 1981–2010. Besides negative effects, climate change had a positive impact on wheat yields, since increasing January–March mean temperatures mitigated the negative impact of warming summer temperatures on wheat yields by an estimated 16–34% over 1981–2010. In this 30-year period, increasing mean temperature together with decreasing precipitation explained 46–75% of the variances in maize yields reducing annual maize harvests by an estimated 11.1–12.4% year−1.

The association between urbanization and adolescent depression in China.

With the rapid urbanization in many countries, more attention is being paid to the relationship between urbanization and mental health, especially depression. However, in countries with rapid urbanization, few empirical studies exist on the relationship between urbanization and adolescent depression. Nationally representative survey data from the China Family Panel Studies in 2012, 2016 and 2018 were used. Data of 1,588 adolescents were obtained from 25 provinces. Depression was measured using the Center for Epidemiology Studies of Depression 20-item score. The urbanization rate was obtained from the National Bureau of Statistics of China. The generalized estimating equation was used to estimate the statistical relationship. The participants' mean age at baseline was 15 years, and 51.2% (813/1,588) of participants were male. After adjusting for all covariates (gender, age, ethnicity, level of education, marital status, urban/rural areas, body mass index, self-rated health, academic pressure, smoking, drinking and exercise), the rate of urbanization was monotonically and negatively associated with adolescent depression (odds ratio 0.34, 95% CI [0.14-0.79]). Compared with female adolescents, male adolescents had a lower risk of depression (odds ratio 0.80, 95% CI [0.67-0.97]). In the context of China, urbanization has a positive effect on the mental health of adolescents. Female adolescents are more likely to experience depression than male adolescents.

Modelling of potential vegetation identifies diverging expectable outcomes of river floodplain widening

River re-naturalisations are at the forefront of conservation efforts. The hope is that these interventions will benefit both local ecosystems and facilitate flood mitigation. While hydrological modelling has been a standard procedure in assessing the outcomes of river re-naturalisations, vegetation modelling has not always been performed as part of these assessments. We hypothesised that the use of potential vegetation modelling, i.e. the modelling of self-sustainable vegetation that can survive after the intervention, can provide insight into vegetation outcome of river re-naturalisation and can thus support vegetation restoration and conservation planning. We investigated the utility of potential vegetation modelling under a specific, widespread element of river re-naturalisation: river floodplain widening at three study sites along the Tisza River in Hungary. We applied potential vegetation modelling, in addition to hydrological and groundwater modelling, to assess the expected vegetation outcome of the river floodplain widening. Flood frequency and duration were assessed by the HEC-RAS hydrological model. Based on the output this hydrological model provided, expected values of the water-related explanatory variables (including groundwater level) were calculated. Statistical relationships encompassed by the existing mulitple potential vegetation (MPV) models of Hungary were applied to the environmental variable sets corresponding to conditions before and after floodplain widening (pre- and post-treatment, respectively), including water-related and other explanatory variables. This resulted in predicted potential vegetation distribution for pre-treatment and post-treatment conditions, which were then compared via ordinations and PERMANOVA. At two of the study sites, post-treatment potential vegetation prediction typically showed vegetation types requiring wetter and less saline conditions when compared to the pre-treatment potential vegetation distribution. This pattern corresponds to general expectations given river floodplain widening. However, at one of the sites, the potentiality of saline and non-saline steppe vegetation was actually more pronounced under the expected post-treatment conditions than those before widening. The strengthening of the potentiality of dry vegetation types can be explained by the minor environmental differences related to the microrelief. As the studied sites were all located in the lowlands where geomorphological variation is small, the effect of these minor geomorphological differences on post-treatment potential vegetation would have remained hidden without applying MPV models. In conclusion, scenarios that employ MPV models help predict river restoration outcomes more accurately and can help identify factors that might otherwise be overlooked. Thus, when combined with physical modelling of river flow, their use can aid in the restoration and landscape planning decisions in river re-naturalisation projects.

The Role of Sports Training in Developing the Player’s Goal Scoring Skills and Knowing Future Results

This study aimed to know the direct effect of sports training on players according to scoring goal and the predictive value of scoring goals for the age group ranging from 13 to 18 years were divided to two groups, 40 samples and 40 comparison group. It focused on the programming process or practical principles of sports training and the relationship of the physical aspect and its connection to the physical and skill aspects, and the use of the content of traditional training with and without the ball. The coaching profession is considered to be the organization and management of the sports educational experience to become an applied experience for the sports coach. It is a profession that depends first and foremost on individual competence and the ability to impose discipline, which must be present in the coach before working in this profession, so that he must have a high ability to understand training and how to use methods, techniques and technical procedures related to organizing and directing the players’ experiences. The data for this study was collected and analysed using the statistical analysis program SPSS IBM Soft 22.0 where several measures were addressed to determine the type and strength of the statistical relationship between the two groups. After presenting and submitting the results, we concluded the following: there is a weak direct relationship between the first group, which included samples, and increased goal scoring skill, there is a strong direct relationship between basic skills and physical abilities, which is linked to the sports performance of players with the amount of goals scored, there is a strong direct relationship between Assessment outcomes of study according to Expected Goals (xG) With scoring goals in the future.

Classification of fragmented pottery with the use of Kohonen self‐organising maps (case study from the Hlyboke Ozero‐2 settlement in Eastern Ukraine)

AbstractThe paper is devoted to testing Kohonen self‐organising maps, with elliptic Fourier coefficients as quantitative variables, for the task of morphological classification of fragmented and non‐standardised ceramics. The advantage of the methodology used is its ability to account for the systematic statistical relationships inherent in the dataset, build models of varying degrees of generalisation and visualise multivariate data. The approbation of the method was carried out on materials from the Hlyboke Ozero‐2 settlement in Eastern Ukraine. The results are compared with the results obtained using principal component analysis + k‐means clustering.