bluuebunny/crossref_metadata_2025 huggingface dataset:
Nano-Microbial Remediation of Polluted Soil: A Brief Insight
Authors: Aliyari Rad Shiva , Nobaharan Khatereh , Pashapoor Neda , Pandey Janhvi , Dehghanian Zahra , Senapathi Venkatramanan , Minkina Tatiana , Ren Wenjie , Rajput Vishnu D. , Asgari Lajayer Behnam
Published: January 2023

The pollution of soil by heavy metals and organic pollutants has become a significant issue in recent decades. For the last few years, nanobiotechnology has been used to bio-remediate or reclaim soil contaminated with organic and inorganic pollutants. The removal of pollutants from industrial wastes is a major challenge. The utilization of nanomaterials is gaining popularity, which might be accredited to their enhanced physical, chemical, and mechanical qualities. The development of advanced nanobiotechnological techniques involving the use of nanomaterials for the reclamation of polluted soils has indicated promising results and future hope for sustainable agriculture. By manufacturing environment-friendly nanomaterials, the industrial expenditure on decreasing the load of pollution might be reduced. A potential emerging domain of nanotechnology for eco-friendly production and cost reduction is “green biotechnology”, alongside the utilization of microorganisms in nanoparticle synthesis.
Evaluation of the Sustainable Development of Macau, Based on the BP Neural Network
Authors: Huang Yue , Teng Youping , Yang Shuai
Published: January 2023

(1) Background: the rapid development of cities and the process of industrialization has improved the level of economic development for all humanity, accompanied by a series of problems, such as the waste of ecological resources and the environmental destruction. Macau has long been one of the regions with the most active economic activities. However, the phenomenon of economic recession, unreasonable land use, and frequent flood disasters have appeared in the past few decades, which violate the concept of sustainable development; (2) Methods: this paper uses the BP neural network model to evaluate the sustainable development of Macau; (3) Results: the weight ranking of sustainable development is: economic > social > ecological environment. A correlation analysis shows that ecology and economy have a significant negative correlation; (4) Conclusions: In Macau, economic growth is given priority while social and ecological environment development lags behind. Macau has problems, such as a unitary economic structure and a high population density. This paper advocates that investment in ecological protection should be increased, environmental resources should be optimized and saved, and the concept of sustainable development should be strengthened in the application of Macau’s urban development.
Exploring the Common Ground of Sustainability and Resilience in the Building Sector: A Systematic Literature Review and Analysis of Building Rating Systems
Authors: Felicioni Licia , Lupíšek Antonín , Gaspari Jacopo
Published: January 2023

Over the last ten years, due to the increase in frequency and severity of climate change effects, resilience in buildings has become a growing topic in the current global discussion on climate change adaptation. Designing both sustainable and resilient constructions would help to face such effects; however, sustainability and resilience in design have been mostly treated separately so far. Since sustainability has been considered more than resilience, paying deeper attention to the latter is indispensable to reducing building vulnerability. The purpose of this article is to examine the commonalities between the sustainability and resilience of buildings using two different approaches: (i) a systematic literature review, taking into consideration a 10-year period for selecting records, and (ii) an analysis of five green building rating systems and five resilience rating systems and guidelines selected according to their popularity and number of certified buildings. There is an overlap in some indicators between the two domains at the building level, as shown by the results from both paths. These aspects could assist in considering sustainability and resilience from the very beginning of the design process. This will ensure that buildings may be designed more effectively by considering and enhancing the synergies between the two domains. This paper targets potential stakeholders who may be interested in including such an integrated implementation in their designs.
Towards Innovation Performance of the Hospitality and Tourism Industry: Interplay among Business Ethics Diffusion, Service Innovation, and Knowledge-Sharing
Authors: Yuan Hongzhou , Su Ming , Zywiolek Justyna , Rosak-Szyrocka Joanna , Javed Asad , Yousaf Zahid
Published: January 2023

This paper examines the direct relationship between business ethics diffusion and innovation performance. This study also investigates the mediating role of service innovation and the moderating role of knowledge-sharing between business ethics diffusion and innovation performance. This is quantitative research, and cross-sectional data were collected from hotels and tourism firms through adapted scales. The results show that business ethics diffusion and innovation performance are directly linked. Service innovation acts as a mediator between business ethics diffusion and innovation performance. Findings also demonstrate that knowledge-sharing moderates significantly between business ethics diffusion and innovation performance. Service innovation performs a crucial role in enhancing the innovation abilities of the hospitality and tourism industry. The current study shows that knowledge-sharing enhances the effects of business ethics diffusion on innovation performance. The theoretical model enlightens the critical role of business ethics diffusion in promoting a high level of service innovation among individuals to boost innovation performance for the hospitality and tourism industry.
The Mediating Effect of Herd Behavior and Brand Attitude towards the Impact of Spokesman Credibility, Source Fit, and Online Word-of-Mouth on Purchase Intention
Authors: Su Bo-Chiuan , Wu Li-Wei , Lin Hongxi , Lin Chieh-An
Published: January 2023

Product endorsement has become a common marketing method. Many companies hire a famous person to act as the spokesman for the product and brand. They want to use the celebrity’s fame and attractiveness to promote their products and brands. However, is every celebrity suitable to be the spokesman for a product? In addition, in the era of advanced technology, whether the comments on the Internet and the credibility of the spokesman affect consumers’ purchase intention through herd behavior. And whether the credibility of the spokesman and the degree of source fit (the degree of fit between the spokesman and the product and brand) affect consumers’ purchase intention through brand attitude and heard behavior. To our best knowledge, no studies in the research literature have explored the relationships between spokesman credibility, source fit, herd behavior, brand attitude, online word-of-mouth, and purchase intention, where herd behavior and brand attitude are mediating variables. The research questionnaire was designed and distributed using an online questionnaire format, and the distribution period was from 6 April 2022, to 12 April 2022. In this study, a total of 203 valid questionnaires were obtained. According to the results, both online word-of-mouth and spokesman credibility had a significantly positive impact on consumers’ herd behavior, which will significantly increase consumers’ purchase intention. The credibility of the spokesman also had a significantly positive impact on consumers’ brand attitudes and, therefore, will significantly increase consumers’ purchase intention. Theoretical and managerial implications are provided.
Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method
Authors: Zhu Yu , Tian Bangsen , Xie Chou , Guo Yihong , Fang Haoran , Yang Ying , Wang Qianqian , Zhang Ming , Shen Chaoyong , Wei Ronghao
Published: January 2023

Due to the influence of atmospheric phase delays and terrain fluctuation in complex mountainous areas, traditional PS-InSAR technology often fails to select enough measurement points (MPs) and loses effective MPs during phase unwrapping. To solve this problem, this paper proposes an adaptive network construction algorithm, which combines the permanent scatterer (PS) points with the distributed scatterer (DS) points. Firstly, to ensure the extraction quality of the DS points, the covariance matrix of DS points is estimated robustly. Secondly, based on the traditional Delaunay triangulation network, an adaptive network construction method is proposed, which can adaptively increase edge redundancy and network connectivity by considering the edge length, edge coherence, edge number, and spatial distribution. Finally, a total of 31 RADARSAT-2 SAR images that cover the Zongling landslide group in Guizhou Province were used to prove the effectiveness of proposed method. The results show that the quantity of available DS points can be increased by 23.6%, through the robust estimation of the covariance matrix. In addition, it is demonstrated that the proposed network construction algorithm can balance the number, distribution, and quality of edges in the dense and sparse areas of MPs adaptively. This adaptive network construction approach can maintain good connectivity and avoid losing effective MPs to the greatest extent, especially when the scattering points are far away from the reference points. In short, the proposed algorithm improves the number of effective MPs and accuracy of phase unwrapping.
Sustainable e-Learning by Data Mining—Successful Results in a Chilean University
Authors: Sánchez Aurora , Vidal-Silva Cristian , Mancilla Gabriela , Tupac-Yupanqui Miguel , Rubio José M.
Published: January 2023

People are increasingly open to using online education mainly to break the distance and time barriers of presential education. This type of education is sustainable at all levels, and its relevance has increased even more during the pandemic. Consequently, educational institutions are saving large volumes of data containing relevant information about their operations, but they do not know why students succeed or fail. The Knowledge Discovery in Databases (KDD) process could support this challenge by extracting innovative models to identify the main patterns and factors that could affect the success of their students in online education programs. This work uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology to analyze data from the Distance Education Center of the Universidad Católica del Norte (DEC-UCN) from 2000 to 2018. CRISP-DM was chosen because it represents a proven process that integrates multiple methodologies to provide an effective meta-process for data knowledge projects. DEC-UCN is one of the first centers to implement online learning in Chile, and this study analyses 18,610 records in this period. The study applies data mining, the most critical KDD phase, to find hidden data patterns to identify the variables associated with students’ success in online learning (e-learning) programs. This study found that the main variables explaining student success in e-learning programs are age, gender, degree study, educational level, and locality.
Evaluating Traceability Technology Adoption in Food Supply Chain: A Game Theoretic Approach
Authors: Gupta Nainsi , Soni Gunjan , Mittal Sameer , Mukherjee Indrajit , Ramtiyal Bharti , Kumar Devesh
Published: January 2023

Food traceability in the supply chain is becoming increasingly important because of concerns such as fraud, adulteration, consumer requirements, and food loss. This study highlights the importance of food traceability in reducing food loss through the proper monitoring of food at every stage of the supply chain. The actions of individual players in a food supply chain affect its traceability. Moreover, the decisions made by one player influence the decisions of the other players. Thus, traceability becomes more complex as the number of players increases. Owing to the complex nature of a food chain, it is important to analyze all the possible strategies that stakeholders consider and understand the influence of those possible strategies on the traceability of a food supply chain. In this study, we deploy a game theory model to analyze the strategic combinations of all possible actions of different stakeholders to understand the complexities present in a food supply chain, as well as how these strategic combinations help in decision-making for the adoption of traceability in a food supply chain. Furthermore, we analyze the factors that may increase or decrease the probability of adopting traceability in a food supply chain.
Green Airline-Fleet Assignment with Uncertain Passenger Demand and Fuel Price
Authors: Liu Ming , Ding Yueyu , Sun Lihua , Zhang Runchun , Dong Yue , Zhao Zihan , Wang Yiting , Liu Chaoran
Published: January 2023

Although air transport contributes to globalization, airline emissions have attracted focus in green logistics. In this work, we investigate the airline-fleet assignment problem from a risk-averse perspective in which uncertain demand and fuel price are considered simultaneously. The objective is to maximise the total profit in a risk-averse fashion, i.e., the weighted sum of the expected profit and the conditional value at risk of profit. An appropriate assignment can reduce fuel use and carbon dioxide emissions. For the problem, a two-stage stochastic programming model is constructed. The first stage consists of assigning aircraft families to flight legs, while the second stage determines specific aircraft deployment with the realized information. To solve the problem, a sample average approximation (SAA) approach is firstly applied. An efficient string-based heuristic is, further, developed. Numerical experiments are conducted and sensitivity analysis is performed. The results show the efficiency of the proposed heuristic and managerial insights are drawn.
Enhancing Image Annotation Technique of Fruit Classification Using a Deep Learning Approach
Authors: Mamat Normaisharah , Othman Mohd Fauzi , Abdulghafor Rawad , Alwan Ali A. , Gulzar Yonis
Published: January 2023

An accurate image retrieval technique is required due to the rapidly increasing number of images. It is important to implement image annotation techniques that are fast, simple, and, most importantly, automatically annotate. Image annotation has recently received much attention due to the massive rise in image data volume. Focusing on the agriculture field, this study implements automatic image annotation, namely, a repetitive annotation task technique, to classify the ripeness of oil palm fruit and recognize a variety of fruits. This approach assists farmers to enhance the classification of fruit methods and increase their production. This study proposes simple and effective models using a deep learning approach with You Only Look Once (YOLO) versions. The models were developed through transfer learning where the dataset was trained with 100 images of oil fruit palm and 400 images of a variety of fruit in RGB images. Model performance and accuracy of automatically annotating the images with 3500 fruits were examined. The results show that the annotation technique successfully annotated a large number of images accurately. The mAP result achieved for oil palm fruit was 98.7% and the variety of fruit was 99.5%.
The Entrepreneurship Ecosystem of Food Festivals—A Vendors’ Approach
Authors: Ossowska Luiza , Janiszewska Dorota , Kwiatkowski Grzegorz
Published: January 2023

A food festival is a type of an environment in which various stakeholders function. The main aim of the research is to indicate the elements and relations of the entrepreneurship ecosystem of food festivals. Empirical data were collected at three food festivals in Poland in the summer of 2020 using the pen-and-paper interview method and semi-structured interviews. During the research, a total of 58 interviews were conducted with vendors. A coding technique was used to process the data. The themes included in the interviews concerned parts of the food festival entrepreneurship model: capital, micro-environment, and macro-environment. The conducted research shows that the core of the entrepreneurship ecosystem model of food festivals is dominated by the family capital. For the vendor, the food festival acts as a platform connecting with the micro-environment and other stakeholders. In the macro-environment of the food festival ecosystem, apart from the conditions of support, there are also factors that limited the activity. The research is an attempt to fill the gaps in the identification of specific features and elements of the entrepreneurial ecosystem of food festivals. The research is an attempt to show how the entrepreneurship ecosystem model of food festivals works. The observations require further in-depth research, e.g., in terms of the evolution of this ecosystem or the dynamics of relationships.
Modular Product Architecture for Sustainable Flexible Manufacturing in Industry 4.0: The Case of 3D Printer and Electric Toothbrush
Authors: Habib Tufail , Omair Muhammad , Habib Muhammad Salman , Zahir Muhammad Zeeshan , Khattak Sikandar Bilal , Yook Se-Jin , Aamir Muhammad , Akhtar Rehman
Published: January 2023

Integrating sustainability, a flexible manufacturing system, and Industry 4.0 resolves the issues of fluctuating market demand arising from customization requirements. Modular products allow flexibility to adapt to changing requirements and optimize resource utilization. In this study, a method was proposed and applied to two products, i.e., a 3D printer and an electric toothbrush featuring modular architecture, multiple product versions, and customization, to contribute to the development of sustainable flexible manufacturing systems. From the results of the two case studies nine modules were identified that contain specific functions and related interface information. From these modules, one platform was developed that comprises common entities used in all variants of the products. This platform was further extended to product families. From the modules, product architecture was developed that supports the product and process relationships. These relationships can be developed concurrently, enabling product features to be linked to the manufacturing setup. Thus, when a modular architecture is developed, the factory has to be reorganized accordingly, or reconfiguration is possible. Hence, the main aim of the research was to develop modular product architecture to identify product and process relationships for a sustainable flexible manufacturing system.
Investigation on Effect of Reflective Coating on Temperature Field of CRTS Ⅱ Slab Ballastless Track under Sunlight
Authors: Quan Xiankai , Guo Wenhua , Tian Jun , Zhang Weiguo
Published: January 2023

The internal temperature variation of ballastless track is very complicated under the effect of a sunlit environment, and there are serious transverse and vertical temperature gradients, which will cause cracking and deformation of the structure. In this paper, an ANSYS temperature effect analysis model for ballastless track, considering box girder structure, is established based on the environmental information of the bridge and the characteristics of the structural system. The model considers the influence of solar radiation intensity, wind speed, air temperature, geographical location, bridge orientation, material parameters, and other factors on the boundary conditions, and can meet the needs of the daylight temperature response analysis and calculation of any complex bridge structure. On this basis, the effect and applicability of a solar reflective coating on ballastless track cooling are studied. The results showed that the calculated results of the finite element model agree well with the measured results. Under the high-temperature conditions in summer, sunlight and ambient temperature mainly have significant effects on the temperature and temperature gradient of the track slab, and the maximum vertical temperature gradient reaches 74.48 °C/m. The reflective coating can significantly reduce the track slab’s temperature and vertical temperature gradient, with a maximum temperature gradient reduction of 34%. The transverse temperature gradient of the track slab can be reduced by up to 54% by further application of the side reflective coating. This study can promote the application of reflective coatings on high-speed railway track structures.
Enhancing Food Supply Chain in Green Logistics with Multi-Level Processing Strategy under Disruptions
Authors: Liu Ming , Tang Hao , Wang Yunfeng , Li Ruixi , Liu Yi , Liu Xin , Wang Yaqian , Wu Yiyang , Wu Yu , Sun Zhijun
Published: January 2023

Food supply chains (FSCs) have long been exposed to environmental variability and shock events caused by various economic, political, and infrastructural factors. The outbreak of the COVID-19 pandemic has further exposed and identified the vulnerability of FSCs, and promoted integrated optimization approaches for building resilience. However, existing works focusing on general supply chains (SCs) and FSCs have not been fully aware of the distinct characteristics of FSCs in green logistics, i.e., the expiration of fresh products. In reality, perishable food materials can be processed into products of different processing levels (i.e., multi-level processing) for longer shelf lives, which can serve as a timely and economic strategy to increase safety stocks for mitigating disruption risks. Motivated by this fact, we study the problem of enhancing FSC with a multi-level processing strategy. An integrated location, inventory, and distribution planning model for a multi-echelon FSC under COVID-19-related disruptions is formulated to maximize the total profit over a finite planning horizon. Specifically, a two-stage stochastic programming model is presented to hedge against disruption risks, where scenarios are generated to characterize geographical impact induced by source-region disruptions. For small-scale problems, the model can be solved with commercial solvers. To exactly and efficiently solve the large-scale instances, we design an integer L-shaped method. Numerical experiments are conducted on a case study and randomly generated instances to show the efficiency of our model and solution method. Based on the case study, managerial insights are drawn.
Challenge of Agriculture Development in Indonesia: Rural Youth Mobility and Aging Workers in Agriculture Sector
Authors: Ngadi Ngadi , Zaelany Andy Ahmad , Latifa Ade , Harfina Dewi , Asiati Devi , Setiawan Bayu , Ibnu Fitranita , Triyono Triyono , Rajagukguk Zanterman
Published: January 2023

The agricultural sector in Indonesia plays a strategic role in both economic development and employment. However, this sector has problems, especially concerning its declining workforce and aging workers. This is largely associated with the low attractiveness of the agricultural sector in absorbing labor. The younger age group prefers to seek non-agricultural employment by migrating to urban areas. This paper aims to analyze the youth mobility, job choice and the implications for agricultural workers. The data for analysis are data from the Indonesian National Labor Force Survey, 2019, by the Central Bureau of Statistics. The result of the descriptive and inferential analysis shows that the probability of youth migrating is higher than for older age groups. On the other hand, the probability of youth finding work in manufacturing and services is greater than in the agriculture sector. This carries implications for an increase in the workforce aged 60 and over, which has escalated from 7.6% in 1971 to 21.2% in 2020. Therefore, it is necessary to develop the agricultural sector so that it is attractive to the younger generation in Indonesia, especially to increase productivity and the use of digital technology for agriculture.
In Search of Double Materiality in Non-Financial Reports: First Empirical Evidence
Authors: De Cristofaro Tiziana , Gulluscio Carmela
Published: January 2023

Materiality is the key principle that drives the selection of issues that companies must report on. The European Union regulation on companies’ non-financial disclosure coined a special meaning of materiality that holistically combines the two perspectives of financial and impact materiality into an overall “double materiality” (DM). The contrast detected between the early debate and the low level of empirical knowledge on DM provided by the literature on materiality disclosure gave rise to our research aim, which was to map the pioneering experiences of DM. In order to achieve this aim, we carried out an exploratory analysis on the non-financial reports of 58 companies, both European and non-European, operating in various industries (period 2019–2021). The results reveal “traces” of DM in the reports of few companies, mainly European ones. The aspects we examined, both with atomistic and summative perspectives of inquiry, highlight variety in both double materiality assessments and adoption disclosures, as well as related criticalities. This foreshadows a fragmented landscape of materiality analysis disclosure over the next few years that presently requires great attention and increased operational guidance by the international standard setters involved. The article closes by proposing implications, limitations and research perspectives.
Evolution Characteristics and Influencing Factors of Global Dairy Trade
Authors: Bai Ziming , Liu Chenyang , Wang Hongye , Li Cuixia
Published: January 2023

There are imbalances and uncertainties in the global supply and demand of dairy products, owing to the adverse influence of overall economic changes, dairy prices, agricultural politics, the COVID-19 pandemic, and severe climate. This paper aims to explore the evolving characteristics and influencing factors of the global dairy trade pattern and make recommendations for the sustainable development of the global dairy trade. This paper studies the evolutionary characteristics of the global dairy trade pattern from the perspective of the overall structure, individual characteristics, and core–periphery structure through complex network analysis (CNA), using the countries involved in dairy trade from 2000 to 2020. Furthermore, this study explores the influencing factors of the dairy trade network using a quadratic allocation procedure (QAP). The results indicate that the global dairy trade network has been expanding, with prominent scale-free features and small-world characteristics. Individual countries display obvious heterogeneity, whereas the core import regions of the dairy shift from Europe, East Asia, and America to North America, the Middle East, and East Asia. Contrary to this, there is no significant change in the core export regions. Consequently, the entire dairy trade network represents a clear core–periphery structure. Moreover, the income per capita gaps, geographic distance gaps, and common language always affect the trade value and dairy trade relations across the countries. Meanwhile, economic level gaps and regional trade agreements have become increasingly significant. Thus, the dairy trade may not follow the “border effect”. Lastly, this paper also extends recommendations for the sustainable development of the dairy trade.
Characterizations of Chemical Networks Entropies by K-Banhatii Topological Indices
Authors: Ghani Muhammad Usman , Campena Francis Joseph H. , Ali Shahbaz , Dehraj Sanaullah , Cancan Murat , Alharbi Fahad M. , Galal Ahmed M.
Published: January 2023

Entropy is a thermodynamic function in physics that measures the randomness and disorder of molecules in a particular system or process based on the diversity of configurations that molecules might take. Distance-based entropy is used to address a wide range of problems in the domains of mathematics, biology, chemical graph theory, organic and inorganic chemistry, and other disciplines. We explain the basic applications of distance-based entropy to chemical phenomena. These applications include signal processing, structural studies on crystals, molecular ensembles, and quantifying the chemical and electrical structures of molecules. In this study, we examine the characterisation of polyphenylenes and boron (B12) using a line of symmetry. Our ability to quickly ascertain the valences of each atom, and the total number of atom bonds is made possible by the symmetrical chemical structures of polyphenylenes and boron B12. By constructing these structures with degree-based indices, namely the K Banhatti indices, ReZG1-index, ReZG2-index, and ReZG3-index, we are able to determine their respective entropies.
An Efficient Approach for Solving Differential Equations in the Frame of a New Fractional Derivative Operator
Authors: Attia Nourhane , Akgül Ali , Seba Djamila , Nour Abdelkader , la Sen Manuel De , Bayram Mustafa
Published: January 2023

Recently, a new fractional derivative operator has been introduced so that it presents the combination of the Riemann–Liouville integral and Caputo derivative. This paper aims to enhance the reproducing kernel Hilbert space method (RKHSM, for short) for solving certain fractional differential equations involving this new derivative. This is the first time that the application of the RKHSM is employed for solving some differential equations with the new operator. We illustrate the convergence analysis of the applicability and reliability of the suggested approaches. The results confirm that the RKHSM finds the true solution. Additionally, these numerical results indicate the effectiveness of the proposed method.
Weak Deflection Angle, Hawking Radiation and Greybody Bound of Reissner–Nordström Black Hole Corrected by Bounce Parameter
Authors: Javed Wajiha , Atique Mehak , Pantig Reggie C. , Övgün Ali
Published: January 2023

In this study, we probe the weak lensing by a Reissner–Nordström black hole corrected by bounce parameter in plasma and dark matter mediums. For this, the optical geometry and the Gibbons–Werner approach are utilized to obtain the bending angle in the weak field limitations. We examine that the impact of these mediums increases the black hole’s bending angle. In addition, we graphically study the deflection angle of light with respect to the impact parameter and examine that the bounce parameter directly affects the angle. Further, we compute the Hawking radiation via a topological method involving two invariants and verify our obtained result with the standard method of calculating the Hawking temperature. In addition, we compute the greybody factor’s bound of the black hole. Moreover, we analyze the bound graphically and observe that the bound shows convergent behavior. We also study that our attained results reduce the results of the Reissner–Nordström and Schwarzschild black holes by reducing the parameters. Finally, we probe how the bounce parameter affected the shadow radius and compared it to the shadow produced if the black hole is immersed in plasma. It is revealed that the rate at which the shadow radius changes with respect to r easily tends to zero under the effect of the bounce parameter, while the plasma merely increases the shadow radius.
Research on Outsourcing by Hotel Firms: Current State and Future Directions
Authors: Espino-Rodríguez Tomás F.
Published: January 2023

This article aims to analyse the current state of hotel outsourcing research and where it should go in the future. Research on outsourcing is increasingly present in the hospitality literature. This paper reviews published works on hotel outsourcing. However, the research still seems to be limited to traditional topics and aspects, and it is necessary to define a new concept of outsourcing that reflects the new trends in tourism company management. Outsourcing has to be more sustainable and, therefore, contribute to the sustainable performance of the hotel, and it has to be related to other current topics in the hospitality literature. This reflection builds on the research conducted to date and proposes topics for current and future research. The paper proposes where outsourcing research should be heading, based on current research. The outsourcing of the future should be sustainable, consider its impact on the quality of service for end customers, facilitate the development of Industry 4.0, support innovation, and contribute to making the hotel more resilient. This paper on the direction hotel outsourcing research should take is the first critical examination of outsourcing, and it incorporates novel factors related to the new environmental management
Asymptotic Forms of Solutions to System of Nonlinear Partial Differential Equations
Authors: Bruno Alexander D. , Batkhin Alexander B.
Published: January 2023

Here, we considerably develop the methods of power geometry for a system of partial differential equations and apply them to two different fluid dynamics problems: computing the boundary layer on a needle in the first approximation and computing the asymptotic forms of solutions to the problem of evolution of the turbulent flow. For each equation of the system, its Newton polyhedron and its hyperfaces with their normals and truncated equations are calculated. To simplify the truncated systems, power-logarithmic transformations are used and the truncated systems are further extracted. Here, we propose algorithms for computing unimodular matrices of power transformations for differential equations. Results: (1) the boundary layer on the needle is absent in liquid, while in gas it is described in the first approximation; (2) the solutions to the problem of evolution of turbulent flow have eight asymptotic forms, presented explicitly.
Antennas in the Internet of Vehicles: Application for X Band and Ku Band in Low-Earth-Orbiting Satellites
Authors: Chung Ming-An , Tseng Kuo-Chun , Meiy Ing-Peng
Published: January 2023

This paper proposes a simple and small-dimensioned antenna that can provide X band and Ku band for the low-earth-orbiting (LEO) satellite system in an Internet of vehicles system. The antenna is designed on the substrate Arlon DiClad 880. The antenna structure consists of an inverted triangle geometry and an inverted U-shaped slot. The dimensions of the antenna are 12.5 × 5 mm2, and the area of the substrate is 30 × 13 × 0.254 mm3. The antenna is easy to make, and the manufacturing cost is low. The measurement results of the reflection coefficient (lower than −10 dB) of the antenna show that the working frequency band can cover the X-band (10.87–12.76 GHz) and the Ku band (15.19–16.02 GHz). The measured and simulated results are fairly similar. The efficiency of the antenna in the X-band is about 50–80.8%. The efficiency of the antenna in the Ku-band is about 50–74%. The gains of the antennas are about 3.34–6.08 dBi and 3.50–4.65 dBi in the X-band and Ku band, respectively, and the highest gain is 6.08 dBi. The antenna design can realize the features of low cost and small dimensions in autonomous vehicles and vehicle networking communication system equipment and achieve good wireless transmission capabilities from vehicles to the base station in the IOV.
Confocal and Electron Microscopic Structure of the Cornea from Three Species of Penguin
Authors: Hadden Peter W. , Gokul Akilesh , Amirapu Satya , Kurian Ratish , McGhee Charles N. J. , Zhang Jie
Published: January 2023

Corneal confocal microscopy has not previously been performed in penguins, despite recognition of its unusually flat shape. To identify features that the penguin shares with other birds and or mammals and those specific to penguins, we undertook confocal microscopic examination of two little (Eudyptula minor), four gentoo (Pygoscelis papua) and five king (Aptenodytes patagonicus) penguin corneas. Transmission electron microscopy was performed on one gentoo and one king penguin, for finer details. Features shared with other higher vertebrates included a five-layered cornea and a similar limbus. Typically avian were a lower density of stromal cells, a more regular arrangement of collagen bands and an absent basal nerve plexus. Features unique to penguins included a flattened superficial epithelium (king penguin), stromal myofibroblasts (all) and an irregular endothelium (little penguin). Other features uniquely identified by confocal microscopy in birds include epithelial and stromal nerves, guttata and stromal imprints on Descemet’s membrane. Transmission electron microscopy identified a lack of wing cells (king penguin), greater posterior collagen lamellae thickness (gentoo penguin) and significantly less interlacing of collagen lamellae in the central cornea (king and gentoo). Most of these unique features are yet to be explained, but some could be adaptations to diving.
Stochastic Evaluation of the Investment Risk by the Scale of Water Infrastructures—Case Study: The Municipality of West Mani (Greece)
Authors: Markantonis David , Sargentis G.-Fivos , Dimitriadis Panayiotis , Iliopoulou Theano , Siganou Aimilia , Moraiti Konstantina , Nikolinakou Maria , Meletopoulos Ilias Taygetos , Mamassis Nikos , Koutsoyiannis Demetris
Published: January 2023

Social structure is based on the availability of the Water-Energy-Food Nexus. To cover these needs of society, several solutions of different scales of infrastructures coexist. The construction of infrastructure is capital-intensive; therefore, investment risk is always a consideration. In this paper, we try to evaluate the investment risk by interest rates (IR). We show that IR is a key indicator, which includes multiple parameters of prosperity expressing the political and economic status quo of the society. The selection of a particular scale influences the required capital and is thus one of the most critical decisions. Water supply infrastructure is one of the foundations of society, and the selection of the optimal scale of such infrastructure is often a great challenge in civil engineering. As a case study, we analyse three different scales of water supply infrastructures for the area of West Mani (Greece), i.e., dam, water ponds, and seawater desalination. We evaluate each case by the capital intensity by performing stochastic simulations of interest rates and identify the optimal solution as the one with the smallest median unit cost, in this case, the water ponds. In order to assess the impact of the development level of a country on the resulting unit cost stochastic properties we apply the optimal solution to various countries with different development levels and IR. We show that IR in the least developed countries, being generally higher and more variable, increases the unit cost, including its variability, which ultimately indicates higher investment risk.
EXPERIMENTAL STUDIES OF ELASTIC-DISSIPATIVE PROPERTIES OF STRUCTURAL AND SEALING MATERIALS OF TRANSLUCENT STRUCTURES
Authors:   Tomsk State University of Architecture and Building, OVSYANNIKOV S.N. ,   Research Institute of building physics of the Russian аcademy of аrchitecture and building sciences, LELYUGA O.V. ,   Tomsk State University of Architecture and Building; Research Institute of building physics of the Russian аcademy of аrchitecture and building sciences, SAMOKHVALOV A.S. ,   Tomsk State University of Architecture and Building; Research Institute of building physics of the Russian аcademy of аrchitecture and building sciences, LYMAREVA E.A. ,   Tomsk State University of Architecture and Building; Research Institute of building physics of the Russian аcademy of аrchitecture and building sciences, BOLSHANINA T.S. ,   Tomsk State University of Architecture and Building; Research Institute of building physics of the Russian аcademy of аrchitecture and building sciences
Published: January 2023

The analytical solution of the problem of sound and vibration passage through structures and joints requires determining the elastic-dissipative properties of structural and sealing materials of translucent structures: the dynamic modulus of elasticity and loss factor. In this paper, the parameters of the dynamic modulus of elasticity and loss coefficient of some well-known building materials are investigated and experimentally established in comparison with previously obtained data from other authors. To automate and accurately measure the coefficient of dynamic characteristics of materials, a measurement technique was used, using Zetlab software and measuring equipment. When measuring the dynamic modulus of elasticity of sealing materials, LDS measuring equipment was used. The refined values obtained for the dynamic modulus of elasticity and the loss factor of materials allow them to be used in vibroacoustic calculations of translucent structures.
EXPLORING EFL STUDENTS’ AWARENESS OF THE DIFFERENCES BETWEEN AMERICAN AND BRITISH VARIETIES
Authors: Obos Achmad Ivansyah , Susilo Susilo , Ping Maria Teodora
Published: January 2023

The objectives of this research are to explore how the EFL students aware toward American and British English and to know EFL students’ perception towards both varieties that influence their learning experiences. This qualitative descriptive research conducted the ethnonarrative approach, which were analyzed descriptively through collecting the data, reducing inappropriate data, displaying and concluding data. The results revealed that the way how the EFL students aware toward American and British English were the participants watch television programs to do self-understanding, they learned both varieties in school and took the TOEFL and IELTS exam, they also frequently use American English to make a conversation as their process of socialization. The EFL students’ perception towards both varieties that influence their learning experiences were different. The first participant thought that British English is way much professional, had unique grammatical and vocabularies. While the second participant thought that American English used for daily conversation.
THE USE OF GRAMMARLY TOOLS TO ENRICH STUDENT'S WRITING ABILITY
Authors: Maulidina Putri , Wibowo Hanafi
Published: January 2023

This research was carried out to know how the students’ activities in learning using Grammarly in improving students writing skills. Thirty-three students from class X DKV-E of SMK Bakti Mandiri participated in this study. This research is being conducted in two cycles using a Classroom Action research Approach. Using the Arikunto model, this study was carried out using the action research strategies of planning, acting, observing, and reflecting. In this study, information was acquired through interviews, observations, questionnaires, and tests. The writer then analyzed the data, both quantitative and qualitative. The conclusion of the study demonstrated that there was an improvement in students’ writing abilities. The majority of students gradually improved their results at the conclusion of each cycle. The English lesson's Minimum Mastery Criterion (KKM) score was 78. The preliminary study's mean score for the students was 76.10, and the percentage was 45%. In the first cycle, the students' mean score was 77.10 while the percentage was 57%. In the second cycle, the mean score was 80.68, and the percentage was 84%. Moreover, there was a positive response from the English teacher about implementing the action. In summary, Grammarly can improve students’ writing ability.
Analisis Time Series Untuk Deep Learning Dan Prediksi Data Spasial Seismik: Studi Literatur
Authors: Nur Cahyo Eko , Susanti* Erma
Published: January 2023

Time series analysis is a deep learning method to process data stored in a dense time. This method works for forecast data in particular cases,  such as to analyze and provide the output of a trend from the data. Time series analysis can be used to analyze trends in natural disasters such as earthquakes in Indonesia. As technology advances today, in addition to using seismographs or tools to predict seismic phenomena on the earth's surface, time series analysis can be used to make forecasts and predictions. This paper will summarize various literature reviews about time series analysis and previous research to predict seismic spatial data over the last ten years. The goal is to afford the several approaches or algorithms to be able to forecast seismic spatial data to increase awareness. The results of this literature study were used to find trends, state of the arts, and research challenges and develop new models or methods to predict seismic spatial data. The study shows that deep learning methods can achieve better accurate performance in processing seismic spatial data and other complex data than conventional methods. The deep learning methods can use Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gate Recurrent Unit (GRU), linear regression, and Artificial Neural Network (ANN).
Pengaruh Green Innovation dan Green Intellectual Capital terhadap Nilai Perusahaan dengan Ukuran Perusahaan sebagai Moderasi
Authors: Tonay Clarissa , Murwaningsari Etty
Published: January 2023

This study examines the effect of green innovation and green intellectual capital on firm value, as well as the effect of firm size on the memorization of green innovation and green intellectual capital on firm value. This study used non-financial sector data listed on the Indonesia Stock Exchange (IDX) for the 2020-2021 period. Furthermore, this study used a purposive sampling for data sampling and multiple regression models for data analysis method. The green intellectual capital simultaneously has a positive effect on firm value. Meanwhile, green innovation has a positive effect on firm value. Then, firm size weakens the moderating effect of green intellectual capital on firm value.
Peran Regulasi Keuangan Berkelanjutan terhadap Tingkat Kesiapan Wajib Pajak dalam Penerapan Pajak Karbon di Indonesia
Authors: Sudjono Andrew Christian , Setiawan Amelia
Published: January 2023

The carbon tax regulation that will be implemented in Indonesia has been postponed considering the macroeconomic situation that is happening nowadays. This research studies the readiness for its implementation in Indonesia by assessing the implementation of POJK No. 51 in 2021 which regulates the carbon emission disclosure in the sustainability report. In addition, this research discusses an effective scheme for carbon tax implementation in Indonesia based on POJK No. 51. The data that is used in this research mainly is secondary data obtained from coal sector companies’ sustainability reports in Indonesia which are listed in Bursa Efek Indonesia for 2021, government’s regulation, and previous studies about the carbon tax. It is found that 34,62% of the coal companies haven’t disclosed their carbon emission. However, POJK No. 51 is proven to improve the readiness of the coal sector companies for the tax carbon implementation. Carbon tax implementation can use sustainability report that published by each company, which already contains the carbon emission. Even though, a more detailed regulation is still needed to support the carbon tax implementation based on the carbon emission disclosure by coal companies in 2021.