bluuebunny/crossref_metadata_2025 huggingface dataset:
Carbon Emission Regulation, Green Boards, and Corporate Environmental Responsibility
Authors: Jung Hail , Song Seyeong , Song Chang-Keun
Published: April 2021

In this study, we examine various effects of carbon emission regulation enacted in South Korea. We provide empirical evidence of regulated firms strategically hedging against potential risks by increasing the number of directors with environment-related backgrounds. We also find that this relationship is clearly evidenced when the firm is owned by a lower proportion of foreign investors. Further analysis shows that these directors successfully change their firms to become environmentally friendly. Overall, we conclude that the role of governments in promoting green finance is crucial. The findings of this study may be used as a guideline for decision makers and environmental policymakers to create systems and policies to increase the firm’s awareness about the environment in relation to corporate environmental responsibility (CER) ratings of firms.
Talent Management in Healthcare: A Systematic Qualitative Review
Authors: Mitosis Konstantinos D. , Lamnisos Demetris , Talias Michael A.
Published: April 2021

Talent Management (T.M.) constitutes a modern and emerging research area in Human Resources Management (HRM). Using a systematic literature approach, we searched in Talent Management literature in the healthcare sector context. We conclude that the number of related studies is minimal. The benefits of implementing Talent Management strategies in healthcare organizations are essential for the organization’s sustainable development and the talented staff and healthcare services patients. Our goal is to undertake a systematic literature review to identify these factors related to talent management practices suitable for healthcare organizations and professionals. We have conducted, according to PRISMA guidelines, a systematic literature review (2010–2020) in the electronic databases PubMed, CINAHL, Cochrane Database of Systematic Reviews, Health Source/Nursing Academic Edition. Search terms related to T.M. were (“Talent Management” AND “Talent Healthcare”). Strict inclusion and exclusion criteria were set for observational studies, while grey and unpublished literature, uncontrolled studies, protocols, commentaries, and conference proceedings were excluded. All included items were assessed for their quality according to set criteria. Six hundred and eighty-four studies were identified, of which 24 met the requirements. The resulting Talent Management Factors were grouped into nine categories: Programming, Attraction, Development, Preservation, Performance Assessment, Work Climate, Culture, Succession Planning, and Leadership. Based on these factors, we provide a holistic picture of the referred domain’s leading developments. The paper determines the Talent Management factors and explains what happens in practice. In this way, we contribute to building a theoretical framework for T.M. in terms of the organizational context.
Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)
Authors: Amiri Maghsoud , Hashemi-Tabatabaei Mohammad , Ghahremanloo Mohammad , Keshavarz-Ghorabaee Mehdi , Zavadskas Edmundas Kazimieras , Kaklauskas Arturas
Published: April 2021

Evaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative method (QQM) and a simplified best-worst method (SBWM). The SBWM method was used because it simplifies BWM calculations and does not require solving complex mathematical models. Reducing the time required to perform calculations and eliminating the need for complicated computer software are among the advantages of the proposed method. The QQM method has also been used due to its ability to evaluate quantitative and qualitative criteria simultaneously. The feasibility and applicability of the SBWM were examined using three numerical examples and a case study, and the results were evaluated. The results of the case study showed that the criteria of the estimated cost, comfort level, and basic floor area were, in order, the most important criteria among the others. The results of the numerical examples and the case study showed that the proposed method had a lower total deviation (TD) compared to the basic BWM. Sensitivity analysis results also confirmed that the proposed approach has a high degree of robustness for ranking and weighting criteria.
Example of Warehouse System Design Based on the Principle of Logistics
Authors: Saderova Janka , Rosova Andrea , Sofranko Marian , Kacmary Peter
Published: April 2021

The warehouse process, as one of many logistics processes, currently holds an irreplaceable position in logistics systems in companies and in the supply chain. The proper function of warehouse operations depends on, among other things, the type of the used technology and their utilization. The research in this article is focused on the design of a warehouse system. The selection of a suitable warehouse system is a current research topic as the warehouse system has an impact on warehouse capacity and utilization and on the speed of storage activities. The paper presents warehouse system design methodology that was designed applying the logistics principle-systematic (system) approach. The starting point for designing a warehouse system represents of the process of design logistics systems. The design process consists of several phases: project identification, design process paradigm selection, system analysis, synthesis, and project evaluation. This article’s contribution is the proposed methodology and design of the warehouse system for the specified conditions. The methodology was implemented for the design of a warehouse system in a cold box, which is a part of a distribution warehouse. The technology of pallet racking was chosen in the warehouse to store pallets. Pallets will be stored and removed by forklifts. For the specified conditions, the warehouse system was designed for two alternatives of racking assemblies, which are served by forklifts. Alternative 1—Standard pallet rack with wide aisles and Alternative 2—Pallet dynamic flow rack. The proposed systems were compared on the basis of selected indicators: Capacity—the number of pallet places in the system, Percentage ratio of storage area from the box area, Percentage ratio of handling aisles from the box area, Access to individual pallets by forklift, Investment costs for 1 pallet space in EUR. Based on the multicriteria evaluation, the Alternative 2 was chosen as the acceptable design of the warehouse system with storage capacity 720 pallet units. The system needs only two handling aisles. Loading and unloading processes are separate from each other, which means that there are no collisions with forklifts. The pallets with the goods are operated on the principle of FIFO (first in, first out), which will facilitate the control of the shelf life of batches or series of products. The methodology is a suitable tool for decision-making in selecting and designing a warehouse system.
Improved Control Method for Voltage Regulation and Harmonic Mitigation Using Electric Spring
Authors: Shademan Mahdi , Jalilian Alireza , Savaghebi Mehdi
Published: April 2021

An electric spring (ES) with series connection to non-critical loads (NCLs) is mainly known as a smart load (SL) technology that can compensate undervoltages and overvoltages. In this paper, an improved control method is presented for the electric spring to regulate the effective value of the critical load (CL) voltage to the nominal value and to compensate the harmonics of the critical load voltage caused by the grid side. The electric spring’s performance for simultaneous voltage magnitude regulation and harmonic distortion compensation is investigated through simulation studies. The results are compared with those of a conventional control scheme. It has been demonstrated that the electric spring, using the improved control system, reduces the amplitude deviation and distortion of critical load voltage.
Agricultural Tractor Roll-Over Related Fatalities in Italy: Results from a 12 Years Analysis
Authors: Facchinetti Davide , Santoro Stefano , Galli Lavinia Eleonora , Pessina Domenico
Published: April 2021

In Italy, about 160 fatal accidents per year have occurred recently in agriculture, most of them involving agricultural machinery. The most frequent cause of fatal events is the tractor overturning. One of the opportunities to monitor the trend of agricultural tractors fatal overturning is a meticulous search for information on the numerous web portals, at national and local level. In fact, in their information purposes are also included the recording, practically in real time, of significant details about each fatal event, such as the place of the accident, the year, the month and the day of the week of occurring, the victim’s age, gender and nationality, etc. This article is describing the results of the monitoring of fatal tractor overturning accidents in the period of 2008–2019 in Italy. In the 12 years of the survey, 1414 fatal accidents were recorded, most of them occurring in the spring and summer months. The region with the highest cumulative number of fatal events was Tuscany (143). The majority (58.8%) of the victims were over 60, while 71.4% of accidents occurred during field work. Most (57.6%) of the tractors involved in the fatal events did not have rollover protective structures (ROPS), while 19.4% were equipped with a two-post foldable front roll-bar, which, however, was in the lowered position at the time of the accident. In most cases, the tractors involved were obsolete and in poor maintenance conditions, and did not comply with general and specific laws on work safety. To improve the situation, the introduction of the tractor training certificate for the drivers and the periodical inspection for tractors, as well as the issuing of significant financial supports to encourage the replacement of the old models with modern more safe models, are the most effective actions to be put into practice.
Consumer’s Surplus: An Equity Measure of High Speed Rail Investments
Authors: Pagliara Francesca
Published: April 2021

An economic analysis identifies, measures, and compares the costs and benefits of alternative interventions, with the objective of supporting decisions concerning the best use of limited resources. The cost benefit analysis (CBA) has played a significant role within the entire decision-making process, and is the principal assessment methodology. In recent years, equity issues in relation to transportation planning have become a hot topic at an international level. In this paper, the objective was to integrate equity within the evaluation of transport projects, specifically high speed rail projects. Here, consumer surplus is conceived as a monetized measure of both direct and indirect benefits for all zones, and for all socioeconomic categories served and not served by HSR, respectively. The added value of this paper is in rethinking these two shares in the computation of the total net present value as equity measures of the project itself. Specifically, the distribution of the HSR benefits among the different groups or zones in a given study area can be computed, and a comparison of the values for each zone of the study area and for each category makes it possible to assess the effects of equity between zones/categories.
The Influence of Green Human Resource Management on Employee Green Behavior—A Study on the Mediating Effect of Environmental Belief and Green Organizational Identity
Authors: Zhu Jian , Tang Weihang , Wang Hui , Chen Yuye
Published: April 2021

Ecological environment issues put forward higher requirements for enterprises to assume environmental responsibilities, and stimulating employee green behavior (EGB) to practice the concept of green development is of great significance. EGB has become the focus of academic attention. EGB is divided into voluntary green behavior (VGB) and task-related green behavior (TGB). However, existing studies have not distinguished the impact mechanism of green human resource management (GHRM) on employee VGB and TGB. Based on self-determination theory and social identity theory, this study discusses how GHRM affects VGB and TGB. This study used a questionnaire survey and collected valid data of 228 employees from manufacturing enterprises in China for empirical analysis. Results show that GHRM positively affects VGB and TGB, environmental belief (EB) mediates the positive relationship between GHRM and VGB, and green organizational identity (GOI) mediates the positive relationship between GHRM and TGB. Theoretical contributions, practical implications, and future research are also discussed.
Oil and Flower Production in Rosa damascena trigintipetala Dieck under Salinity Stress in Taif Region, Saudi Arabia
Authors: El-Sharnouby Mohamed E. , Montaser Metwally M. , Abdallah Sliai M.
Published: April 2021

The flower industry depends on oil and fragrance, which is addressed in the current work. Different concentrations of NaCl (0, 250, 500, 1000, and 1500 ppm) were applied to Taif rose plants (Rosa damascena var. trigintipetala Dieck) to evaluate their effects on growth and essential oil content. Results clearly indicated the highest survival percentage (98.3%) was seen in untreated plants compared to plants under salinity stress. Moreover, increasing the NaCl levels induced an adverse effect on the growth parameters of Taif rose plants, while some essential oil contents were increased to the maximum degree of their tolerance to salinity stress. The extracted essential oils were analyzed using GC/MS. The essential oils of Taif rose plants treated with 500 ppm NaCl recorded the highest values of citronellol, geraniol and phenylethyl alcohol contents (16.56, 8.67 and 9.87%), respectively. NaCl at 250 ppm produced the highest values of heneicosane (13.12%), and then decreased to the lowest value (7.79%) with the increase of NaCl to 1500 NaCl, compared to the control and other NaCl levels. The current results could highlight the impact of salinity stress on Rosa damascena Miller var. trigintipetala Dieck for better economic and industrial applications.
Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA
Authors: Hu Meijuan , Sarwar Suleman , Li Zaijun
Published: April 2021

Improving ecological well-being performance (EWP) is the essential requirement of green transformation development and ecological civilization construction. With the help of a network DEA model and threshold panel regression model, this study evaluated urban ecological well-being performance to explore the evolution process, impact, and optimization path of urban ecological well-being performance in the Yangtze River Delta from 2001 to 2017. The findings are as follows: (1) The ecological well-being performance of all cities in the region had been steadily improving since 2001, most cities had realized the transformation from a low performance level to a higher performance level, and there was an obvious spatial mismatch between urban economic development level and ecological well-being performance. (2) A regional urban ecological well-being performance development mode was constantly optimized, sustainable urban development ability was improved, and the number of high-high (HH) mode cities was gradually increasing while the number of low-low (LL) mode cities was gradually decreasing. (3) Under the influence of threshold variables of population density, industrialization level, and environmental regulation, the impact of urbanization on ecological well-being performance had different threshold characteristics. Economic growth, industrialization, and government macro-control had significantly negative restraining effects, while consumption level, industrial structure upgrading, energy efficiency, and technological innovation had significantly positive driving effects.
Nutrient Use Efficiency as a Strong Indicator of Nutritional Security and Builders of Soil Nutrient Status through Integrated Nutrient Management Technology in a Rice-Wheat System in Northwestern India
Authors: Randhawa Mehakpreet Kaur , Dhaliwal Salwinder Singh , Sharma Vivek , Toor Amardeep Singh , Sharma Sandeep , Kaur Manpreet , Verma Gayatri
Published: April 2021

Nutrient use efficiency is reported as a strong indicator of the buildup soil nutrient status for nutritional security of crops through an integrated nutrient management approach under a rice-wheat system. The data revealed that integrated application of manures and fertilizers reported maximum organic carbon (0.39%) in the treatment receiving 100% of the recommended dose of fertilizers (RDF) + farmyard manure and lowering the pH to 6.39. The maximum available N (360.8 kg ha−1) was found in 100% RDF + press mud treatment; available P (66.30 kg ha−1) was found in 75% RDF + poultry manure; and available K, Zn, Cu, and Fe (226.3 kg ha−1 and 2.220, 0.732, and 36.87 mg kg−1, respectively) in 100% RDF + farmyard manure treatments. Similarly, total macro- and micronutrient content in soil increased with the addition of organic manures alone or in combination with chemical fertilizers. The highest agronomic efficiency and utilization efficiency of nitrogen (41.83 and 102.55 kg kg−1, respectively) and phosphorous (83.57 and 204.9 kg kg−1, respectively) were recorded in the treatment receiving 75% RDF + poultry manure. This study concluded that the integrated application of manures and chemical fertilizers is a must for improving soil nutrient status and nutrient use efficiency and ultimately enhances nutritional security under a rice-wheat system.
A Comparative Study of Models for the Construction Duration Prediction in Highway Road Projects of India
Authors: Velumani P. , Nampoothiri N. V. N. , Urbański M.
Published: April 2021

Predicting the duration of construction projects with acceptable accuracy is a problem for contractors and researchers. Numerous researchers and tools are involved in sorting out this problem. The aim of the study is to predict the construction duration using four analytical tools as an approach. The success of construction projects in regard to time depends on various factors such as selection of contractors, consultants, cost of the projects, quality of the projects, the quantity of the projects, environmental factors, etc. Presently available commercial tools in the market are not designed as universally common and concerned. Every tool performs well in a particular situation. The prediction of India’s highway road projects duration is the biggest construction issue in the country due to various reasons. To overcome this problem, the methodology of the paper adopts various strategies to find suitable tools to predict the highway road projects’ duration, in which it classifies and analyzes the collected data. As a part of this work, the details of 363 government infrastructure projects (traditional procurement) were collected from 2000 to 2018. The present study also adopts various tools for duration prediction such as artificial neural networks (ANNs), smoothing techniques, time series analysis, and Bromilow’s time–cost (BTC) model. The results of the study recommend smoothing techniques with a constant value of 0.3, which gave the remarkable very small error of 1.2%, and its outcomes become even better when compared to other techniques.
Resilience Dividends and Resilience Windfalls: Narratives That Tie Disaster Resilience Co-Benefits to Long-Term Sustainability
Authors: Helgeson Jennifer , O’Fallon Cheyney
Published: April 2021

The need for increased disaster resilience planning, especially at the community level, as well as the need to address sustainability are clear; these dual objectives have been deemed national priorities in a number of recent US Executive Orders. Major global climate agreements, (i.e., the Sendai Framework for Disaster Risk Reduction, Paris Climate Agreement, and the Sustainable Development Goals) all emphasize the need to integrate disaster resilience and climate risks with continued sustainable development concerns. Current ways of assessing synergies and trade-offs across planning for disaster resilience and sustainability in investment projects that impact communities are limited. The driving research question in this paper is how researchers and practitioners may better express relative categories of co-benefits to meet this need. We draw upon the categorization of some co-benefits as contributing to the resilience dividend, which has helped communication across fields and created bridges from research to practical on-the-ground planning in recent years. Furthermore, we leverage the growing focus on the need to recognize the role of narratives in driving decisions about how and where to invest, which elucidates the inherent value of archetypes that resonate across stakeholders and disciplines to describe investments that may meet multiple objectives. We introduce the concept of a resilience windfall as an unexpected or sudden gain or advantage of resilience planning to be conceptualized alongside resilience dividends. We then assess the practicality of discerning resilience windfalls across various projects that have aspects of both resilience and sustainability. We recount five narrative vignettes that demonstrate disaster resilience interventions and associated resilience dividends and windfalls. This effort highlights the importance of considering resilience dividends and resilience windfalls during the planning, execution, and evaluation phases of disaster resilience projects. These typologies provide an important contribution to the integration agenda between disaster resilience, climate risks, and sustainable development. There are policy implications of framing incentives for interventions that address both disaster resilience and long-term sustainability objectives as well as encouraging robust tracking of both resilience dividends and windfalls.
Municipal Solid Waste Management Practices and Challenges in the Southeastern Coastal Cities of Sri Lanka
Authors: Saja Abdul Majeed Aslam , Zimar Abdul Majeed Zarafath , Junaideen Sainulabdeen Mohamed
Published: April 2021

Municipal solid waste management (MSWM) has become a major challenge in Sri Lanka for post-conflict development activities. Many urban areas are facing severe problems in managing 10 to 50 metric tons of waste per day. However, limited research has been carried out to identify the key issues and policy gaps in MSWM. This research studies the existing complexities of MSWM processes, practices, and emerging challenges in three highly congested urban areas in the south-eastern coast of Sri Lanka. A mixed method strategy using field observations, semi-structured interviews and secondary data sources was employed for the data collection. The study revealed that, although the MSWM systems in the urban areas include all necessary elements, their effectiveness and efficiency are not satisfactory due to poor or non-segregation of waste at the source of generation; lack of resources; absence of regulation to reduce waste generation and control polluters; absence of regular collection schedule; and lack of technical know-how and initiatives. The recommendations drawn from the study include feasible solutions and immediate measures required to improve the MSWM before the related environmental and public health problems become a social catastrophe. The recommendations will also greatly contribute in the achievement of developing sustainable cities.
Lusophone Entrepreneurship: Analysis of Entrepreneurial Behavioural Characteristics in Brazilian and Portuguese Universities
Authors: Schneider Locatelli Débora Regina , Mourão Paulo Jorge Reis , Silva Rui
Published: April 2021

This study analyzes the entrepreneurial characteristics of students from public universities. The objective was to evaluate the presence of the characteristics of entrepreneurship pointed out by McClelland through a comparative analysis between two countries and through an analysis using structural models. Data collection was performed with the questionnaire prepared by David McClelland that assesses entrepreneurial behavioural characteristics through 55 preliminary questions. Data were collected from 329 respondents at universities in Brazil and Portugal during 2019. A quantitative analysis was performed using AMOS 26 software, and structural equation models were tested for the three groups under analysis. The analysis resulted in the validation of three measurement models (Portuguese (PT) and Brazilian (BR), PT, and BR), and it was observed that all dimensions were relevant and statistically significant in the set of PT and BR simultaneously and in the BR group. For the PT group, only the dimension “taking calculated risks”, corresponding to H2, did not have statistical validity.
Symmetric and Anti-Symmetric Damping Modes of Trivelpiece–Gould Waves in Weakly and Completely Ionized Plasma Waveguides
Authors: Lee Myoung-Jae , Jung Young-Dae
Published: April 2021

The collision effects on the low-frequency ion-acoustic Trivelpiece–Gould wave are investigated in weakly and completely ionized plasma waveguides by using the normal mode analysis. In weakly ionized plasma waveguides, it is found that the dependence of the harmonic mode on the absolute value of the scaled damping rate shows the opposite tendency for large and small radii of the cylindrical waveguide. It is also is found that the scaled damping rates for both weakly and completely ionized plasma waveguides decrease with an increase of the electron temperature. It is interesting to note that the scaled damping rate for weakly ionized plasma waveguides shows anti-symmetric behavior when the Trivelpiece–Gould wave propagates in the negative-z direction. However, it is found that the scaled damping rate for completely ionized plasma waveguides shows the symmetric behavior when the Trivelpiece–Gould wave propagates in the negative-z direction.
X-SDD: A New Benchmark for Hot Rolled Steel Strip Surface Defects Detection
Authors: Feng Xinglong , Gao Xianwen , Luo Ling
Published: April 2021

It is important to accurately classify the defects in hot rolled steel strip since the detection of defects in hot rolled steel strip is closely related to the quality of the final product. The lack of actual hot-rolled strip defect data sets currently limits further research on the classification of hot-rolled strip defects to some extent. In real production, the convolutional neural network (CNN)-based algorithm has some difficulties, for example, the algorithm is not particularly accurate in classifying some uncommon defects. Therefore, further research is needed on how to apply deep learning to the actual detection of defects on the surface of hot rolled steel strip. In this paper, we proposed a hot rolled steel strip defect dataset called Xsteel surface defect dataset (X-SDD) which contains seven typical types of hot rolled strip defects with a total of 1360 defect images. Compared with the six defect types of the commonly used NEU surface defect database (NEU-CLS), our proposed X-SDD contains more types. Then, we adopt the newly proposed RepVGG algorithm and combine it with the spatial attention (SA) mechanism to verify the effect on the X-SDD. Finally, we apply multiple algorithms to test on our proposed X-SDD to provide the corresponding benchmarks. The test results show that our algorithm achieves an accuracy of 95.10% on the testset, which exceeds other comparable algorithms by a large margin. Meanwhile, our algorithm achieves the best results in Macro-Precision, Macro-Recall and Macro-F1-score metrics.
Research on the Design of a Hexagonal Shaft Straightening Machine Based on Quality Function Development and Evidence Theory
Authors: Zhou Juan , Huang Yuhang , Yu Zhonghua
Published: April 2021

In response to the problem that weights in product planning and design are difficult to accurately reflect the real needs of users, a design method for hexagonal shaft straightening machines based on quality function configuration and evidence theory is proposed. First, based on the method of quality function deployment and evidence theory, the demand indicator and its importance are determined by market research and the Kano model. Second, to solve the conflict problem in the process of expert opinion aggregation, combined with evidence theory, taking expert knowledge as evidence, the possible value space of causal strength among nodes constitutes the recognition framework, which is used to synthesize the knowledge of multiple experts. The indicator correlation degree is reflected by using a correlation weight matrix, and effective solutions to the relevant theoretical problems and algorithms, such as those for competitive indicator evaluation, weight calculation and planning target value cases, are proposed. Finally, according to the analysis results for the various structural elements of the house of quality, a hexagonal shaft straightening machine function for master planning house of quality was constructed, and propose a design and build the main experimental platform. The relevant test results show that the technical specifications of the hexagonal shaft straightening machine basically meet the requirements of the overall planning target values, verifying the effectiveness and feasibility of the proposed method.
Self-Adaptive Genetic Programming for Manufacturing Big Data Analysis
Authors: Oh Sanghoun , Suh Woong-Hyun , Ahn Chang-Wook
Published: April 2021

While black-box-based machine learning algorithms have high analytical consistency in manufacturing big data analysis, those algorithms experience difficulties in interpreting the results based on the manufacturing process principle. To overcome this limitation, we present a Self-Adaptive Genetic Programming (SAGP) for manufacturing big data analysis. In Genetic Programming (GP), the solution is expressed as a relationship between variables using mathematical symbols, and the solution with the highest explanatory power is finally selected. These advantages enable intuitive interpretation on manufacturing mechanisms and derive manufacturing principles based on the variables represented by formulas. However, GP occasionally has trouble adjusting the balance between high accuracy and detailed interpretation due to an incommensurable symmetry of the solutions. In order to effectively handle this drawback, we apply the self-adaptive mechanism into GP for managing crossover and mutation probabilities regarding the complexity of tree structure solutions in each generation. Our proposed algorithm showed equal or superior performance compared to other machine learning algorithms. We believe our proposed method can be applied in diverse manufacturing big data analytics in the future.
A Family of Fifth and Sixth Convergence Order Methods for Nonlinear Models
Authors: Argyros Ioannis K. , Sharma Debasis , Argyros Christopher I. , Parhi Sanjaya Kumar , Sunanda Shanta Kumari
Published: April 2021

We study the local convergence of a family of fifth and sixth convergence order derivative free methods for solving Banach space valued nonlinear models. Earlier results used hypotheses up to the seventh derivative to show convergence. However, we only use the first divided difference of order one as well as the first derivative in our analysis. We also provide computable radius of convergence, error estimates, and uniqueness of the solution results not given in earlier studies. Hence, we expand the applicability of these methods. The dynamical analysis of the discussed family is also presented. Numerical experiments complete this article.
Second-Order Impulsive Delay Differential Systems: Necessary and Sufficient Conditions for Oscillatory or Asymptotic Behavior
Authors: Santra Shyam Sundar , Khedher Khaled Mohamed , Moaaz Osama , Muhib Ali , Yao Shao-Wen
Published: April 2021

In this work, we aimed to obtain sufficient and necessary conditions for the oscillatory or asymptotic behavior of an impulsive differential system. It is easy to notice that most works that study the oscillation are concerned only with sufficient conditions and without impulses, so our results extend and complement previous results in the literature. Further, we provide two examples to illustrate the main results.
A Modified SIRD Model to Study the Evolution of the COVID-19 Pandemic in Spain
Authors: Martínez Vicente
Published: April 2021

In this paper, we use an SIRD model to analyze the evolution of the COVID-19 pandemic in Spain, caused by a new virus called SARS-CoV-2 from the coronavirus family. This model is governed by a nonlinear system of differential equations that allows us to detect trends in the pandemic and make reliable predictions of the evolution of the infection in the short term. This work shows this evolution of the infection in various changing stages throughout the period of maximum alert in Spain. It also shows a quick adaptation of the parameters that define the disease in several stages. In addition, the model confirms the effectiveness of quarantine to avoid the exponential expansion of the pandemic and reduce the number of deaths. The analysis shows good short-term predictions using the SIRD model, which are useful to influence the evolution of the epidemic and thus carry out actions that help reduce its harmful effects.
Infill Designs for 3D-Printed Shape-Memory Objects
Authors: Koske Daniel , Ehrmann Andrea
Published: April 2021

Shape-memory polymers (SMPs) can be deformed, cooled down, keeping their new shape for a long time, and recovered into their original shape after being heated above the glass or melting temperature again. Some SMPs, such as poly(lactic acid) (PLA), can be 3D printed, enabling a combination of 3D-printed shapes and 2D-printed, 3D-deformed ones. While deformation at high temperatures can be used, e.g., to fit orthoses to patients, SMPs used in protective equipment, bumpers, etc., are deformed at low temperatures, possibly causing irreversible breaks. Here, we compare different typical infill patterns, offered by common slicing software, with self-designed infill structures. Three-point bending tests were performed until maximum deflection as well as until the maximum force was reached, and then the samples were recovered in a warm water bath and tested again. The results show a severe influence of the infill pattern as well as the printing orientation on the amount of broken bonds and thus the mechanical properties after up to ten test/recovery cycles.
The Importance of Cardiac T2* Magnetic Resonance Imaging for Monitoring Cardiac Siderosis in Thalassemia Major Patients
Authors: Chaosuwannakit Narumol , Makarawate Pattarapong , Wanitpongpun Chinnadol
Published: April 2021

Objective: Cardiac T2* magnetic resonance imaging (MRI) has recently attracted considerable attention as a non-invasive method for detecting iron overload in various organs in thalassemia major patients. This study aimed to identify the prevalence of cardiac siderosis in thalassemia major patients and evaluate cardiac T2* MRI for monitoring cardiac siderosis before and after patients receive iron chelation therapy and its relation to serum ferritin, left ventricular ejection fraction, and liver iron concentration. The information gathered would be used for the direct monitoring, detection, and treatment of complications early on. Methods: A total of 119 thalassemia major patients were recruited in the present study. The cardiac T2* MRI was compared to serum ferritin levels, liver iron concentration (LIC), and left ventricular ejection fraction. All patients were classified into four groups based on their cardiac siderosis as having normal, marginal, mild to moderate, or severe cardiac iron overload. At the follow-up at years one, three, and five, the cardiac T2* MRI, LIC, serum ferritin, and left ventricular ejection fraction (LVEF) were determined. Results: The prevalence of cardiac siderosis with cardiac T2* MRI ≤ 25 ms was 17.6% (n = 21). There was no correlation between cardiac T2* MRI and serum ferritin, liver iron concentration, and LVEF (p = 0.39, 0.54, and 0.09, respectively). During one year to five years’ follow-up periods, cardiac T2* MRI (ms) in patients with severe cardiac siderosis had significantly improved from 8.5 ± 1.49 at baseline to 33.9 ± 1.9 at five years (p < 0.0001). Patients with severe, mild-moderate, marginal, and no cardiac siderosis had median LIC (mg/g dw) of 23.9 ± 6.5, 21.6 ± 13.3, 25.3 ± 7.7, and 19.9 ± 5.5 at baseline, respectively. Conclusions: This study supports the use of cardiac T2* MRI to monitor cardiac iron overload in patients who have had multiple blood transfusions. Early diagnosis and treatment of patients at risk of cardiac siderosis is a reasonable method of reducing the substantial cardiac mortality burden associated with myocardial siderosis. Cardiac T2* MRI is the best test that can identify at-risk patients who can be managed with optimization of their chelation therapy.
An Employee Sharing Model for the Tourism and Hospitality Industry
Authors: De la Mora Velasco Efrén , Huang Arthur , Haney Adam
Published: April 2021

Fast technological developments have transformed the tourism and hospitality services and the labor market. The outbreak of the COVID-19 pandemic exposed the vulnerability of the tourism and hospitality workforce. There is insufficient prior work about creating better work conditions and greater career opportunities for hospitality and tourism professionals in the swiftly changing labor market. To this end, this article analyzes the historical employee–employer relationships in the tourism and hospitality industry. It presents a new employee-sharing model framework for enhancing resilience and flexibility for hospitality and tourism enterprises and workers.
Effect of Indoor Air Pollution on Chronic Obstructive Pulmonary Disease (COPD) Deaths in Southern Asia—A Systematic Review and Meta-Analysis
Authors: Shetty Bellipady Shyam Prasad , D’Souza George , Padukudru Anand Mahesh
Published: April 2021

Background: About half of the population in developing countries are exposed to indoor pollution such as combustion fuels at present. Chronic obstructive pulmonary disease (COPD) is one of the leading causes of mortality globally and the primary cause of COPD in women is indoor air pollution exposure, while tobacco smoking is the leading cause in men. The aim of this systematic review and meta-analysis is to evaluate the correlation between the indoor air pollution and deaths related to COPD and COPD prevalence in South Asia. Methods: A systematic search on studies with sufficient statistical power has been conducted from 1985 until 30 June 2020, in English electronic databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines in MEDLINE and PubMed databases with the terms Chronic Obstructive Pulmonary disease COPD or Chronic Bronchitis or Emphysema or COPD Deaths or Chronic Obstructive Lung Disease or Airflow Obstruction or Chronic Airflow Obstruction or Airflow Obstruction, Chronic or Bronchitis, Chronic and Mortality or Death or Deceased was conducted. Studies were eligible if they were Prospective controlled or non-controlled trials conducted in Southern Asia/ Asia and Retrospective studies conducted in Southern Asia/ Asia. Results: The results have concluded that long term exposure to indoor pollution had a significant effect on COPD deaths as well as its symptoms. Odd’s ratio was in a range of 1.05 (Randomized controlled trials) to 7.87 (Cross sectional studies) for all the studies mentioned. Meta-analysis observed a significantly higher Odds Ratio of 2.13 for COPD mortality and 2.08 for COPD prevalence on exposure to indoor air pollution. Conclusion: Exposure to solid fuel smoke is consistently and significantly correlated with COPD mortality and COPD prevalence in South Asian countries, in spite of heterogeneity observed in the studies included. For performing domestic tasks, initiatives are to be taken to reduce dependency on solid fuel by using cleaner alternatives or comparatively cleaner technology.
Muscle Tone Physiology and Abnormalities
Authors: Ganguly Jacky , Kulshreshtha Dinkar , Almotiri Mohammed , Jog Mandar
Published: April 2021

The simple definition of tone as the resistance to passive stretch is physiologically a complex interlaced network encompassing neural circuits in the brain, spinal cord, and muscle spindle. Disorders of muscle tone can arise from dysfunction in these pathways and manifest as hypertonia or hypotonia. The loss of supraspinal control mechanisms gives rise to hypertonia, resulting in spasticity or rigidity. On the other hand, dystonia and paratonia also manifest as abnormalities of muscle tone, but arise more due to the network dysfunction between the basal ganglia and the thalamo-cerebello-cortical connections. In this review, we have discussed the normal homeostatic mechanisms maintaining tone and the pathophysiology of spasticity and rigidity with its anatomical correlates. Thereafter, we have also highlighted the phenomenon of network dysfunction, cortical disinhibition, and neuroplastic alterations giving rise to dystonia and paratonia.
Aflatoxin in Dairy Cows: Toxicity, Occurrence in Feedstuffs and Milk and Dietary Mitigation Strategies
Authors: Jiang Yun , Ogunade Ibukun M. , Vyas Diwakar , Adesogan Adegbola T.
Published: April 2021

Aflatoxins are poisonous carcinogens produced by fungi, mainly Aspergillus flavus and Aspergillus parasiticus. Aflatoxins can contaminate a variety of livestock feeds and cause enormous economic losses, estimated at between US$52.1 and US$1.68 billion annually for the U.S. corn industry alone. In addition, aflatoxin can be transferred from the diet to the milk of cows as aflatoxin M1 (AFM1), posing a significant human health hazard. In dairy cows, sheep and goats, chronic exposure to dietary aflatoxin can reduce milk production, impair reproduction and liver function, compromise immune function, and increase susceptibility to diseases; hence, strategies to lower aflatoxin contamination of feeds and to prevent or reduce the transfer of the toxin to milk are required for safeguarding animal and human health and improving the safety of dairy products and profitability of the dairy industry. This article provides an overview of the toxicity of aflatoxin to ruminant livestock, its occurrence in livestock feeds, and the effectiveness of different strategies for preventing and mitigating aflatoxin contamination of feeds.
In Vitro Mechanism Assessment of Zearalenone Removal by Plant-Derived Lactobacillus plantarum BCC 47723
Authors: Adunphatcharaphon Saowalak , Petchkongkaew Awanwee , Visessanguan Wonnop
Published: April 2021

Zearalenone (ZEA) is a harmful secondary fungal metabolite, produced primarily by plant pathogenic fungi mostly belonging to the genus Fusarium. It is involved in reproductive disorders in animals since its structure is similar to the estrogen hormone. This induces precocious pubertal changes, fertility problems, and hyper estrogenic disorders. The main objectives of this study were to evaluate the ZEA removal capacity of plant-derived lactic acid bacteria (LAB) and to investigate the possible components and mechanisms involved in the removal of ZEA by physically and chemically treated plant-derived LAB. The bacterial cells were characterized using scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDS), Fourier transform infrared spectroscopy (FTIR), and the analysis of zeta potential, and hydrophobic index. Results revealed that 17 out of 33 plant-derived LAB exhibited ZEA removal from liquid medium. The percentage of removal ranged from 0.5–23% and Lactobacillus plantarum BCC 47723, isolated from wild spider flower pickle (Pag-sian-dorng), exhibited the highest removal. The alteration of proteins on L. plantarum BCC 47723 structure by Sodium dodecyl sulphate (SDS) treatment was positively affected on ZEA removal, whereas that of lipids on ZEA removal was negatively observed. Heat treatment influenced the higher ZEA adsorption. SEM images showed that the morphologies of modified bacterial cells were distinctly deformed and damaged when compared with untreated control. FTIR analysis indicated that the original functional groups, which included amide (C=O, C-N), carboxyl (C=O, C-O, O-H), methylene (C=C), and alcohol (O-H) groups, were not changed after ZEA adsorption. The zeta potential indicated that electrostatic interaction was not involved in the ZEA removal, while hydrophobicity was the main force to interact with ZEA. These findings can conclude that adsorption by hydrophobicity is the main mechanism for ZEA removal of plant-derived L. plantarum BCC 47723. The alteration of bacterial cell structure by heat treatment enhanced the efficiency of L. plantarum BCC 47723 for ZEA reduction. Its activity can be protected by the freeze-drying technique. Hence, plant-derived L. plantarum BCC 47723 can be considered as an organic adsorbent for ZEA reduction in food and feedstuff.
Staphylococcus aureus Toxins: Promoter or Handicap during Infection?
Authors: Löffler Bettina , Tuchscherr Lorena
Published: April 2021

Staphylococcus aureus is an opportunistic and versatile pathogen that can cause several diseases, which range from acute and destructive, to chronic and difficult-to-treat infections [...]
Cytotoxic Effects and Intracellular Localization of Bin Toxin from Lysinibacillus sphaericus in Human Liver Cancer Cell Line
Authors: Kanwal Simab , Abeysinghe Shalini , Srisaisup Monrudee , Boonserm Panadda
Published: April 2021

Binary toxin (Bin toxin), BinA and BinB, produced by Lysinibacillus sphaericus has been used as a mosquito-control agent due to its high toxicity against the mosquito larvae. The crystal structures of Bin toxin and non-insecticidal but cytotoxic parasporin-2 toxin share some common structural features with those of the aerolysin-like toxin family, thus suggesting a common mechanism of pore formation of these toxins. Here we explored the possible cytotoxicity of Bin proteins (BinA, BinB and BinA + BinB) against Hs68 and HepG2 cell lines. The cytotoxicity of Bin proteins was evaluated using the trypan blue exclusion assay, MTT assay, morphological analysis and LDH efflux assay. The intracellular localization of Bin toxin in HepG2 cells was assessed by confocal laser scanning microscope. HepG2 cells treated with BinA and BinB (50 µg/mL) showed modified cell morphological features and reduced cell viability. Bin toxin showed no toxicity against Hs68 cells. The EC50 values against HepG2 at 24 h were 24 ng/mL for PS2 and 46.56 and 39.72 µg/mL for BinA and BinB, respectively. The induction of apoptosis in treated HepG2 cells was confirmed by upregulation of caspase levels. The results indicated that BinB mediates the translocation of BinA in HepG2 cells and subsequently associates with mitochondria. The study supports the possible development of Bin toxin as either an anticancer agent or a selective delivery vehicle of anticancer agents to target mitochondria of human cancer cells in the future.