Effective Factors Research Articles

학교스포츠클럽 참여학생이 지각하는 케어링분위기가 운동흥미 및 스포츠인성에 미치는 영향요인 분석

학교스포츠클럽 참여학생이 지각하는 케어링분위기가 운동흥미 및 스포츠인성에 미치는 영향요인 분석

Sustainable And Bioengineered Concrete For Armor Units Of Low-Crested Structures

In the last two decades, Eco-engineering has emerged to mitigate and compensate the environmental impacts of man-made structures while integrates benefits to society, being concrete the most widely alternative material used to natural rocks for construction of artificial coastal structures. Over the past three decades, an extensive literature has documented different supplementary cementitious materials (SCMs) to reduce CO2 emissions from Portland cement, with common SCMs used in marine and coastal structures such as fly ashes, ground granulated blast furnace slags, pozzolanas and limestones. However, there is a need to further investigate the suitability of SCMs for the construction of Low-Crested Structures (LCS) to decrease carbon footprint from concrete production and improve the bioreceptivity of concrete armor units during the breakwater lifetime. A literature review conducted in this study shows several advantages of slag cements compared to other SCMs to reduce carbon emissions and enhance biological colonization and durability of concrete submerged in seawater, identifying surface roughness as the most effective factor in design of bioreceptive concrete. This study also highlights the importance of the type and quantity of cement used in concrete mixes to reduce carbon footprint of the manufacture of concrete armor units of LCS and the implementation of long-term monitoring plans to fully understand the functioning of local communities that develop on concrete surfaces of artificial structures, and thus, to improve the integration of environmental parameters in the field of coastal engineering.

On the Link between Plastic Wake Induced Crack Closure and the Fatigue Threshold

This purpose of this paper is to examine the relationship between crack growth equations based on Elber’s original plastic wake induced crack closure concept and the fatigue threshold as defined by the American Society for Testing and Materials (ASTM) fatigue test standard ASTM E647-15el. It is shown that, for a number of conventionally manufactured metals, the function U(R), where R is the ratio of the minimum to maximum applied remote stress, that is used to relate the stress intensity factor ΔK to the effective stress intensity factor ΔKeff is inversely proportional to the fatigue threshold ΔKth(R). This finding also results in a simple closed form equation that relates the crack opening stress intensity factor Ko(R) to ΔK, Kmax, and the fatigue threshold terms ΔKth(R) and ΔKeff,th. It is also shown that plotting da/dN as function of ΔK/ΔKth(R) would appear to have the potential to help to identify the key fracture mechanics parameters that characterise the effect of test temperature on crack growth. As such, for conventionally manufactured metals, plotting da/dN as function of ΔK/ΔKth(R) would appear to be a useful addition to the tools available to assess the fracture mechanics parameters affecting crack growth.

Generalized Linear Driving Force Formulas for Diffusion and Reaction in Porous Catalysts

Approximate models are a fast and most often precise tool for determining the effectiveness factor for heterogeneous catalysis processes that are realized in the real world. They are also frequently applied as robust transient models describing the work of a single catalyst pellet or as a part of a more complex model, for example, a reactor model, where mass balances for the gas phase and solid phase are necessary. So far, approximate models for diffusion and reaction processes have been presented for processes described by a single balance equation. In the present work, approximate models without the mentioned limitation are presented and discussed. In addition, simple rules are shown for the development of other complex approximate models without tedious derivation in the complex domain. The formulas considered in this work are typical long-time approximations of the transient process. The accuracy is good, especially in the range of small and intermediate Thiele modulus values.

The Use of Artificial Intelligence in Employee Recruitment in the Furniture Industry of Iran According to the Role of Contextual Factors

Abstract The present research aims to analyze the effect of contextual factors affecting the application of artificial intelligence technology in employee recruitment in the furniture industry of Iran, which is a practical purpose and has been carried out in a descriptive-surveillance manner, to find out the reasons, facilitators and limitations of its use with the presented conceptual model. Make this technology understandable to organizations during employee recruitment. To measure and analyze the effect of these factors, a questionnaire was used as an information-gathering tool, which was given to 250 senior managers and middle managers of companies active in the furniture industry of Iran. The results of the analysis of the information obtained in two descriptive and inferential parts, according to the data analysis algorithm in the method of structural equations and Smart PLS software, confirmed the hypotheses of the research and showed that the effective background factors include: technological factors, organizational and environmental have a positive and significant effect on the use of Artificial intelligence in the furniture industry in Iran, and the use of artificial intelligence as a competitive advantage improves the organizational capabilities of recruitment and recruitment (based on data, process, staff) in the furniture industry. Forgives. Also, it makes it easier to carry out “blind” Recruitment of employees processes and review frequent applications, and by simplifying the application analysis process through applicant tracking systems, it can save time and money in human resources processes and reduce discrimination in choices.

Reorganization of Effective Geographical Factors on National Power

This research delves into the intricate interplay between geographical factors and national power, elucidating the diverse sources and bases of 'national power' while acknowledging the foundational role of political organizations in state formation. Through a comprehensive examination of literature and scholarly resources, this study identifies and analyzes the elements and sources of national power, particularly emphasizing the influence of geographical factors. Employing a methodology centered on library research, the findings underscore the pivotal role of geography alongside other determinants in shaping national power dynamics. By scrutinizing the impact of geographical features and facilities, the study reveals how countries leverage their natural surroundings to enhance their national and global power status. Ultimately, this research contributes to a deeper understanding of the complex relationship between geography and national power, offering insights pertinent to policymakers, scholars, and practitioners, and informing strategies for harnessing and optimizing national power resources in the context of geopolitical dynamics and international relations.

Sandwich-like voltametric immunosensing of interleukin-8 based on β-cyclodextrin/carbon nanotubes and methylthionine chloride@UIO-66 framework.

The level of interleukin-8 (IL-8) in the body is an effective factor for the early diagnosis of acute tubular necrosis and oral tumor. In this work, a novel sandwich-like voltametric immunosensor (SVS) of IL-8 was constructed by preparing β-cyclodextrin/carbon nanotube (CD/CNT) to immobilize primary antibody (PAb) of IL-8 and UIO-66-NH2 MOFs structure to immobilize second antibody (SAb) and methylene blue (Mb) probe. In this designed SVS, the prepared CD/CNT nanohybrid with large surface area and conductivity can immobilize PAb via simple host-guest recognition, and UIO-66-NH2 provided an ideal platform to accommodate SAb and a large number of Mb molecules as signal-amplifier. In the existence of target IL-8, the current peak of Mb from the SVS assay increases with the increasement of IL-8 level. Through optimizing and adjusting various factors, a wide linearity (0.001-2.5ngmL-1) and low analytical limit (0.2pgmL-1) of IL-8 were realized, so it's expected the developed SVS strategy has significant applications for the detection of IL-8.

Conflict management in entrepreneurship: strategies, communication, and leadership

This paper delves into the critical importance of conflict management in the entrepreneurial landscape, particularly in the face of war and heightened uncertainty. It offers a comprehensive analysis of the distinct stages of a conflict’s lifecycle, categorized based on the intensity of the conflict. A comparative analysis of these stages is presented, considering the essence of the conflict at each stage, its visibility, and potential outcomes. This analysis reveals the context-specific nature of conflict resolution dynamics, emphasizing the significant influence of the context, individuals involved, and available resources. The paper identifies the prerequisites for effective conflict management in entrepreneurial ventures. It outlines the primary barriers that hinder such management, including the perception of mutually exclusive interests, differing interpretations of the conflict’s essence, and institutionalization. The paper defines distinct patterns in how participants behave during conflicts. Recognizing the direction of each party’s actions can develop a more tailored approach to conflict resolution. Conflict resolution strategies guide individuals toward a solution, extending beyond mere actions. These strategies encompass two critical aspects of conflict management: the overall strategy and its effectiveness factors. The paper discusses five core conflict management strategies based on the Thomas-Kilmann Conflict Management Model. It concludes that the most suitable approach depends on the specific situation, the individuals involved, and the issue. Additionally, the paper explores conflict management strategies based on Glasl’s model, assigning specific conflict resolution strategies to the stages in Friedrich Glasl’s conflict escalation model. Apart from various strategies, the paper categorizes tactics as “soft” or “hard” based on their impact on the opponent. The application of tactics ranges from gentle persuasion to heavy coercion. Some tactics are direct, clearly stating the desired outcome, while others are indirect, subtly influencing the other party. In conclusion, the paper underscores the instrumental role of successful conflict management in guiding confrontations toward positive outcomes. This is achieved by addressing immediate behaviors and underlying issues and fostering an environment conducive to constructive dialogue. Keywords: management, entrepreneurship, conflict resolution, Thomas-Kilmann model, Friedrich Glasl model

Mathematical modeling of interactions between colon cancer and immune system with a deep learning algorithm

Colon cancer is a complex disease with genetically unstable cell lines. In order to better understand the complexity of colon cancer cells and their metastatic mechanisms, we develop a mathematical model in this study. The model is based on a system of fractional-order differential equations and Fractional-Cancer-Informed Neural Networks (FCINN). The model captures a dynamic network of interactions between dendritic cells (DCs), cytotoxic T-cells (CD8+\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$8^+$$\\end{document}), helper T-cells (CD4+\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$4^+$$\\end{document}), and colon cancer cells through fractional differential equations. By varying the fractional order between 0 and 1, we can classify patients into different groups based on their immune patterns. The goal of this paper is to identify different immune patterns and cancer cell behaviors, as well as the parameters that play an important role in metastasis, control, or elimination of cancer cells in the model. However, several parameters in the model are difficult to estimate in a patient-specific manner. To address this challenge, we use FCINN as an effective deep-learning tool for parameter estimation and numerical simulation of the model. Our findings suggest that the most effective factors in controlling the progression and preventing metastasis of colon cancer are the initial number of cancer cells, the inhibiting rates of tumor cells by DCs, the source of DCs, and the activation of helper T-cells by DCs. These findings suggest that DCs can be used as an immunotherapy tool for the control and treatment of colon cancer.

Simultaneous determination of methanol, ethanol, and formic acid in human serum by HSGC-MS: Method development, validation, and application

The concurrent assessment of methanol, ethanol, and formic acid is imperative for accurate clinical toxicology diagnosis in cases of methanol poisoning. Here, we reported a very simple and reliable headspace gas chromatography coupled with mass spectrometry (HSGC-MS) method for simultaneous quantitative determination of methanol, ethanol and formic acid in blood samples. The derivatization variables for formic acid were optimized. The method exhibits high sensitivity, good selectivity and effective separation factor for methanol (6.51 min), ethanol (8.29 min), and formic acid (11.41 min). The method demonstrates excellent reproducibility and accuracy. The limit of detection (LOD) and the limit of quantification (LOQ) were determined to be 3.14–5.83 μg/mL and 10.47–19.34 μg/mL, respectively. Finally, this method was successfully used for measuring the levels of methanol, ethanol, and formic acid in the serum of patients involved in actual methanol poisoning incidents.

Enhancing wastewater remediation in microalga Euglena gracilis: The role of trivalent cerium (Ce³⁺) as a hormonal effect factor and its metabolic implications

This study explored the effects of trivalent cerium (Ce³⁺) as a hormonal effect factor on microalga Euglena gracilis in domestic wastewater treatment. It was discovered that 12.50 mg/L Ce³⁺ markedly enhance E. gracilis dry weight (by 63.44%, P < 0.05) and boost its efficiency in extracting key water quality indicators such as total nitrogen (TN) by 66.08% (p < 0.05), total phosphorus (TP) by 37.17% (p < 0.05), ammonia nitrogen (NH4+-N) by 39.90% (p < 0.05), and chemical oxygen demand (COD) by 97.17% (p < 0.05) from wastewater. Metabolomic analysis revealed that Ce³⁺ treatment significantly alters E. gracilis's metabolic profile, notably in lipid metabolite synthesis. This treatment increased the production of essential membrane lipid metabolites like phosphatidylglycerol and phosphatidic acid, vital for cellular membrane integrity. Additionally, Ce³⁺ stimulated the synthesis of certain antioxidant dipeptides, reducing wastewater-induced reactive oxygen species (ROS) levels. This treatment improved not only nutrient removal efficiency from wastewater by E. gracilis but also its conversion to high-value metabolic products, such as paramylon and lipids. These findings highlight Ce³⁺'s pivotal roles in augmenting E. gracilis's wastewater treatment efficacy and environmental resilience, offering significant insights for microalgae's use in environmental management and bioenergy.

Effect of particle size versus surface charge on the brain targeting behavior of elastic nanovesicles: In-vitro characterization, comparison between I-optimal and D-optimal statistical optimization and in-vivo pharmacokinetic evaluation

Rasagiline mesylate (RM) is a potent monoamine oxidase-B inhibitor that suffers from extensive hepatic metabolism, low bioavailability, and low brain distribution. Thus, this study aimed to formulate an intranasal nanovesicular system with high RM encapsulation (EE%) and enhanced delivery to the brain tissues. In this perspective, negatively and positively charged RM-transfersomal vesicles were prepared, characterized and the formulation parameters were statistically optimized as per two different response surface methodologies namely, I-optimal and D-optimal design. Although both statistical designs acted almost similarly in terms of experimental response analysis; the I-optimal design might be functioning better in terms of formulations’ optimization and response prediction with higher desirability factors. Consequently, the optimized negative transfersomes (particle size: 213 nm, EE%:62.55 %) and positive transfersomes (particle size: 515 nm, EE%:70.9 %) suggested by the I-optimal design were furtherly formulated, characterized for their in-vitro release, elasticity, transmission electron microscope and pH. Finally, both systems were administered intranasally and compared to an intravenous RM solution where the optimized positive transfersomes has shown significantly higher brain targeting efficiency, positive direct transfer percentage values and longer brain mean residence time. These results suggested that the surface charge of the formulated vesicles could be more effective factor -than the particle size-in enhancing the brain bioavailability of the administered drugs.

Features of organizing the provision of emergency medical care on-site in the city of Saint Petersburg

Special attention is paid to the development of primary health care and emergency medical care in our country, since timely prevention of the development of diseases and early provision of medical care to citizens is a priority task facing the domestic healthcare system. National projects and programs in healthcare are aimed at improving the provision of medical care, preventing diseases and promoting a healthy lifestyle. Providing emergency medical care is undoubtedly associated with all types of medical care and is an effective factor. Timely provision of emergency medical care contributes to a favorable outcome for each patient. That is why the need to analyze the experience of organizing the provision of emergency medical care on-site in a medical organization providing primary health care is of utmost importance. The purpose of the study is to analyze the organization of emergency medical care on-site in the city of St. Petersburg and identify its features. The research materials included analyzed orders of the Russian Ministry of Health, orders of the Health Committee of the city of St. Petersburg, open literary sources, medical documentation of the emergency department of a medical organization providing primary health care. As a result of the analysis and based on the data obtained, proposals were developed to improve the organization of emergency medical care on-site in the city of St. Petersburg, taking into account the existing shortcomings.

Effectiveness of Psychosocial Skills Training and Community Mental Health Services: A Qualitative Research.

This study employs a phenomenological approach to investigate the experiences of individuals who access services at a community mental health center (CHMC) in Türkiye The aim of this study is to comprehend the experiences of individuals who participate in psychosocial skills training at the CHMC. Thematic analysis of data from sixteen in-depth interviews revealed three main themes and eight sub-themes. Functionality theme emphasizes the positive impact of CHMC services and training on daily life and social functioning. Effective Factors theme encompasses the elements that improve the effectiveness of CHMC services. Participants have provided suggestions for the content of the training under the theme of Recommendations. Study results show that CHMC services and psychosocial skills training benefit individuals' daily lives and functioning, but that opportunities for improvement exist. It is crucial to incorporate participant feedback, and further research should be conducted to investigate the effectiveness of these services in this area.

Investigation Of The Relationship Between Body Appreciation And Sleep Quality

Sleep causes many psychological effects in individuals. A person's body image, which is their subjective evaluation of their physical appearance, can have a significant impact on their emotions, behaviors, and overall well-being. In order to investigate the effect of sleep on body image, 395 female participants aged between 18-27 years, who were evaluated subjectively and objectively using the sleep assessment and body image scale, were included. The primary outcome of the study are the determination of the relationship between objective and subjective results of sleep quality and body appreciation. Secondary outcome are the determination of the relationship between exercise and body appreciation, which is an effective factor in determining body appreciation. After missing data scanning, 34 participants were excluded from the study and analysis were performed on 361 people (Age 20,76+1,62; Height 163,65+5,81; Weight 57,78+ 10,42; Cronbach's Alpha ,92). Body Appreciation Scale-2 and Sleep Quality Scale were applied to the participants. While there was no statistical significance in the sleep hygiene values according to the subjective sleep evaluations of the participants, a significant difference was found between very poor sleep and very good sleep in the subjective sleep evaluations. In addition, a statistical significance was found between women's body image and subjective sleep evaluations (p

Retardation factor scaling for contaminant transport in fractured media

This paper delves into the key factors governing contaminant retardation and the scaling of retardation factor for contaminant transport in naturally fractured media. It employs a geostatistical approach, utilizing hierarchical transition probability and covariance models, to characterize multimodal reactive mineral facies. Subsequently, scale-dependent models are developed to illustrate the transport behaviors of reactive contaminants under equilibrium sorption conditions and quantify the spatial and temporal variations of the effective retardation factor. These models incorporate various factors, including the structural characteristics of reactive minerals (the volume proportions and lengths of different facies types), fracture characteristics (the means and variances of fracture apertures), and the adsorption capacity of contaminants on minerals (sorption coefficients (ln Kd)). The results from these Lagrangian-based models are compared and validated against experimental data of solute transport in a single natural fracture. These findings underscore the remarkable agreement between the derived scale-dependent analytical expressions and the experimental results. Additionally, a global sensitivity analysis was performed using the Monte Carlo-based Sobol’ indices method to understand the influential factors governing contaminant retardation. The study reveals that the primary influential factor is the sorption capacity of contaminants on minerals, while fracture and reactive mineral structural characteristics play a secondary role. These insights provide significant information for understanding the reactive transport processes and the environmental impact of transport parameters in fractured media.

Transforming Public Libraries into Community Centers: Case of Iran

ABSTRACT The purpose of this research was to identify and rank social factors effective in transforming Iran’s public libraries into social centers and develop a conceptual model. This is a mixed research conducted with a systematic grounded theory approach. Four effective community factors in transforming public libraries into community centers were identified: 1. promotion of social activities, 2. participation of public groups, 3. awareness of the community situation, and 4. promotion of community skills. By applying the theory of the public sphere, public libraries can inform people about government decisions and facilitate public debate between the government and citizens.

Climate-Change-Driven Shifts in Aegilops tauschii Species Distribution: Implications for Food Security and Ecological Conservation

Climate change has diverse effects on the planet’s environment, including changes and shifts in the distribution and abundance of species. In this paper, we present a robust prediction ensemble algorithm for the current and future species distribution of Aegilops tauschii. Four modeling approaches were trained using various environmental variables (bioclimatic and soil variables) to accurately predict the species distribution for future scenarios. The results showed that GBM and RF demonstrated the most accurate predictions with an Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of 0.80 and 0.83, respectively. The results of variable importance depicted that the temperature seasonality (bio4) was the most important and effective factor in determining the habitat suitability of Ae. tauschii, followed closely by the precipitation seasonality (bioclimate 15) and the mean temperature of the warmest quarter (bio10). Then, the distribution maps of Ae. tauschii were produced under climate change scenarios for 2050 and 2070. The results showed that Ae. tauschii will lose some of its suitable habitats under climate change and that this loss will be more severe in the east part of the study area. The results of the present study have important implications for ecological conservation as they can assist in identifying critical habitats and inform conservation planning efforts. Our model provides a valuable tool for understanding the potential future distribution of Ae. tauschii and highlights the need for continuous monitoring and protection of this species.

Catalytic decomposition of sulphuric acid in Iodine-Sulphur and Hybrid-Sulphur processes for Hydrogen production: Estimation of effectiveness factor of catalyst

High endothermic heat of SO3 decomposition reaction (ΔHR∼+98 kJ mol−1) can lead to significant thermal gradients (lower temperatures) inside the catalyst particle, depending up on mass diffusion, heat conduction and intrinsic reaction kinetics in the particle. The lower catalyst effectiveness (due to thermal gradients) leads to lower decomposition conversions in Packed Bed Reactors (PBR), which has to be maximized. In this study, a multi-scale model (Double Porosity Model, DPM) is used for the estimation of non-isothermal effectiveness factor (η) of Cr-Fe2O3 catalyst types; less porous pellet and porous foam types. η obtained using DPM (foam∼0.249 and pellet∼0.147) are found to be in good agreement with experimental data and also with the results of derived model (Weisz model). Further, effect of porosity and size/diameter on η are studied and obtained the optimum porosity required for maximum η. The present study is useful for estimation and optimization of non-isothermal η of catalysts.

Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM.

Additive manufacturing offers greater flexibility in the design and fabrication of structural components with complex shapes. However, the use of additively manufactured parts for load-bearing structural applications, specifically involving cyclic loading, requires a thorough investigation of material fatigue properties. These properties can be affected by many factors, including residual stresses and crack tip shielding mechanisms, which can be very different from those of conventionally manufactured materials. This research focuses on super duplex stainless steels (SDSSs) fabricated with wire arc additive manufacturing (WAAM) and investigates their fatigue crack growth rates and the net effect of crack tip shielding mechanisms. Using the compliance-based method, we measured crack tip opening loads in compact tension (CT) specimens with cracks propagating longitudinally and transversely to the WAAM deposition direction. It was found that fatigue crack growth rates were very similar in both directions when correlated by the effective stress intensity factor range. However, the differences in crack tip opening loads explain a quite significant influence of the deposition direction on the fatigue life.