bluuebunny/crossref_metadata_2025 huggingface dataset:
Ultrasound-Assisted Extraction of Antioxidants from Baccharis dracunculifolia and Green Propolis
Authors: Cavalaro Renata Iara , Fabricio Luis Felipe de Freitas , Vieira Thais Maria Ferreira de Souza
Published: November 2020

Baccharis dracunculifolia or rosemary-of-field is the principal botanical source used by Africanized bees Apis mellifera L. to produce green propolis in Southeastern Brazil. The phenolic compounds present in the plant and green propolis have been reported to be responsible for biological activities such as antioxidant capacity. This study aimed to optimize the ultrasound-assisted extraction of antioxidants compounds from rosemary-of-field using a central composite rotatable design (CCRD), and compare results to green propolis extract. An experimental design was performed to obtain responses of total phenolic content and antioxidant capacity. The results allowed observing that the optimum condition for both Baccharis dracunculifolia floral bud and raw green propolis antioxidant extraction was obtained with 99% ethanol solution. In this condition, Total Phenolic Content (TPC), Ferric Reducing Antioxidant Power (FRAP), and 2,2-diphenyl-1-picryl-hydrazyl (DPPH) values were 612.14 mg GAE. g−1 sample, 534.39 µM ferrous sulfate g−1 sample, and 72.37 µmol TEAC. g−1 sample, respectively, for floral buds. These results have confirmed that optimization is a key step for effective and sustainable extraction processes to be feasible on an industrial scale. The proposed process can be easily adopted on a larger scale, as it uses very few inputs and presents straightforward steps, with the advantage of high efficiency in the extraction of phenolic compounds from the studied matrices compared to the results from the literature. The high concentration of antioxidants indicates that the products obtained can be considered as a sustainable bioactive source for food and cosmetic purposes.
Adsorption of CO2 on Amine-Modified Silica Particles in a Confined-Fluidized Bed
Authors: Girimonte Rossella , Testa Flaviano , Gallo Marta , Buscieti Rocco , Leone Giuseppe , Formisani Brunello
Published: November 2020

To reduce the anthropogenic CO2 emissions produced from fossil fuel burning plants, the application of carbon capture and storage (CCS) is necessary and development of a more efficient and economically feasible CO2 capture process is essential as an alternative to the conventional amine scrubbing process which uses aqueous amine solutions. CO2 capture can be enhanced by improving both the gas–solid contact efficiency and by tuning a specific high-performance sorbent. The aim of this research is to investigate the adsorption of CO2 using impregnated mesoporous silica in a “confined-fluidized bed”. This non-conventional fluidized bed (sometimes also termed the “packed-fluidized bed”) seems suitable for improving the efficiency of gas–solid processes for which the bypass effect of the gas–solid contact caused by bubbling represents a major drawback. Results, expressed as grams of CO2 adsorbed per kilogram of material, are discussed in terms of amine load in the sorbent, breakthrough time and fraction of bed utilized. The stability of the materials after regeneration cycles is also discussed. The results obtained confirm that the confinement of the bed allows exploiting fluidization technology in adsorption operations. The operating velocity can be fixed at a value at which the thermal effects also connected to the operation are kept under control.
Effect of Hydrogen Bond Donors and Acceptors on CO2 Absorption by Deep Eutectic Solvents
Authors: Altamash Tausif , Amhamed Abdulkarem , Aparicio Santiago , Atilhan Mert
Published: November 2020

The effects of a hydrogen bond acceptor and hydrogen bond donor on carbon dioxide absorption via natural deep eutectic solvents were studied in this work. Naturally occurring non-toxic deep eutectic solvent constituents were considered; choline chloride, b-alanine, and betaine were selected as hydrogen bond acceptors; lactic acid, malic acid, and fructose were selected as hydrogen bond donors. Experimental gas absorption data were collected via experimental methods that uses gravimetric principles. Carbon dioxide capture data for an isolated hydrogen bond donor and hydrogen bond acceptor, as well as natural deep eutectic solvents, were collected. In addition to experimental data, a theoretical study using Density Functional Theory was carried out to analyze the properties of these fluids from the nanoscopic viewpoint and their relationship with the macroscopic behavior of the system, and its ability for carbon dioxide absorption. The combined experimental and theoretical reported approach work leads to valuable discussions on what is the effect of each hydrogen bond donor or acceptor, as well as how they influence the strength and stability of the carbon dioxide absorption in deep eutectic solvents. Theoretical calculations explained the experimental findings, and combined results showed the superiority of the hydrogen bond acceptor role in the gas absorption process, with deep eutectic solvents. Specifically, the cases in which choline chloride was used as hydrogen bond acceptor showed the highest absorption performance. Furthermore, it was observed that when malic acid was used as a hydrogen bond donor, it led to low carbon dioxide solubility performance in comparison to other studied deep eutectic solvents. The cases in which lactic acid was used as a hydrogen bond donor showed great absorption performance. In light of this work, more targeted, specific, deep eutectic solvents can be designed for effective and alternative carbon dioxide capture and management.
Optimization of Oxidative Leaching for Vanadium Extraction from Low-Grade Stone Coal Using Response Surface Methodology
Authors: Huang Zulv , Chen Tao , Zhou Yang , Xu Wenbin , Lin Hanzhi , Yan Bo
Published: November 2020

The feasibility and kinetics of vanadium (V) recovery from oxidative leaching of low-grade stone coal using MnO2 were investigated. Oxidative leaching processes (OLPs) were designed using response surface methodology (RSM) based on the central composite design (CCD) model. The results show that the order of factors that influence OLPs is leaching temperature > H2SO4 concentration > leaching time > MnO2 dosage. The interaction between leaching temperature and H2SO4 concentration on the OLP is the most significant. Vanadium leaching efficiency was 89.3% using 31% H2SO4 and 3% MnO2 at 90 °C for 7.9 h. The kinetics of V leaching from stone coal show that the leaching rate is controlled by chemical reaction through a layer according to the shrinking core model and the activation energy is 55.62 kJ/mol. A comparison of the SEM-EDS results of minerals before and after leaching confirms that the muscovite structure was significantly destroyed and V and aluminum (Al) were effectively dissolved during the OLP.
Ultrasound-Assisted Extraction of Polyphenolic Contents and Acid Hydrolysis of Flavonoid Glycosides from Oil Palm (Elaeis guineensis Jacq.) Leaf: Optimization and Correlation with Free Radical Scavenging Activity
Authors: Che Zain Mohamad Shazeli , Jakariah Nurul Azani , Yeoh Jen Xen , Lee Soo Yee , Shaari Khozirah
Published: November 2020

Malaysia is ranked as the second largest oil palm producer in the world after Indonesia. This leads to the generation of large quantities of oil palm (Elaeis guineensis Jacq.) leaves (OPLs) annually, considered an underutilized oil palm biomass with low economical value. The present study aimed to study the effects of several parameters of ultrasound-assisted extraction (UAE) and the acid hydrolysis of phenolic compounds from OPLs using the single factor experimental approach. The effects of different solvents (hexane, ethyl acetate, 1:1 methanol–ethyl acetate, absolute methanol, and 4:1 methanol–water), solid–liquid ratios (1:20, 1:40, 1:50, 1:60, and 1:70), times (0.5, 1, 2, 3, and 5 h), and temperatures (25, 30, 40, 60, and 70 °C) were investigated for UAE. Moreover, the effects of acid concentration (0.2, 1, 2, 4, 6, and 12 M), incubation time (10, 30, 45, 60, and 90 min), and incubation temperature (65, 75, 85, 90, and 95 °C) on the acid hydrolysis of flavonoid glycosides were also determined. The results revealed that some of the tested parameters had prominent effects on the total phenolic (TPC) and total flavonoid (TFC) contents, as well as the DPPH free radical scavenging activity recovered from the OPLs. The optimal UAE conditions were determined to be 0.5 h at 25 °C using 4:1 methanol–water and 1:50 solid–liquid ratio, producing OPL extracts with TPC and TFC at 335.30 and 60.67 milligrams quercetin equivalents per gram of extract (mg QCE/g extract), respectively, and DPPH free radical scavenging activity at 94.06%. The phenolics present in OPLs were optimally hydrolysed using 6 M hydrochloric acid with an incubation period of 45 min at 95 °C with TPC, TFC, and DPPH free radical scavenging activity at 126.33 milligrams gallic acid equivalents per gram of extract (mg GAE/g extract), 36.08 mg QCE/g, and 54.88%, respectively. Moreover, acid hydrolysis managed to optimally recover the total apigenin content (TAC), total luteolin content (TLC), and total flavonoid C-glycoside content (TFCGC) with values of 79.12 micrograms vitexin equivalents per milligram of extract (µg VE/mg extract), 20.97 micrograms orientin equivalents per milligram of extract (µg OE/mg extract), and 100.09 µg/mg, respectively. Additionally, there were significant correlations between the polyphenolic compounds, flavonoid C-glycosides, and antioxidant activity for all parameters based on the Pearson correlation analysis. This indicates that OPLs have potential as a natural source of phenolic compounds, especially flavonoid C-glycosides, with beneficial free radical scavenging activity that can be incorporated in food and pharmaceutical products.
Anticlerical Motifs in the Illustrations of Martin Luther’s Hauspostille
Authors: Jurkowlaniec Grażyna , Ptaszyński Maciej
Published: November 2020

Drawing on the example of the editions of a Protestant bestseller, Martin Luther’s Hauspostille, printed several times in Nuremberg between 1544 and 1548 by Johann vom Berg and Ulrich Neuber, the study examines the sources, location, and function of the anticlerical motifs in the Protestant postils. Prominent in the first editions of the Hauspostille of 1544 and 1545, the anticlerical scenes were eliminated in 1548. The authors argue that both the usage and subsequent removal of these woodcuts was dependent not on the direct religious context in Luther’s sermons, but on pragmatic political considerations as they affected the religious situation in the city of Nuremberg. The deployment of antipapal imagery in the mid-1540s coincided with Nuremberg’s strong engagement in the aggravating conflict between the emperor and the Protestants, whereas its elimination was triggered by the defeat of Protestants and the introduction of the Augsburg Interim.
Spirituality as a Predictor of Psychological Well-Being: An Explanatory Mechanism of Religiosity and Sustainable Consumption
Authors: Iqbal Sana , Khan Muhammad Ishfaq
Published: November 2020

This paper aims to investigate the impact of spirituality on the psychological well-being of the consumers involved in reusing as sustainable consumption behavior (SCB). In addition to this, the study also investigates the mediating effect of reusing as SCB between spirituality and psychological well-being. The moderating effect of religiosity has also been taken into account while studying the relationship between spirituality and reusing. A survey was conducted to collect the data from clothing industry consumers using a structured questionnaire and employing a convenience sampling approach. PLS-SEM was used to analyze the useable data of 286 respondents. Results validate that spirituality has a positive and significant effect on psychological well-being. Further, reusing (SCB) was found to be a significant mediator, also the moderating effect of religiosity on the relationship between spirituality and reusing was significant and high. This study contributes to the existing literature by concentrating on predictors that undermine psychological well-being. To the best of the authors’ knowledge, this is one of the early studies to contribute to the literature by investigating the impact of spirituality on consumer psychological well-being specifically reusing (SCB) as a mediator between the two constructs. Further, it also investigated the moderating impact of religiosity on the relationship between spirituality and reusing. Research findings have implications for researchers, policymakers, marketers, ecologists, social activists, and practitioners. For research students, such contribution will bring a new avenue to consider further research. Managers will find help to control such factors which induce reusing and increase psychological well-being.
The Importance of Sport Event on Hotel Performance for Restarting Tourism After COVID-19
Authors: Borovcanin Dusan , Cuk Ivan , Lesjak Miha , Juvan Emil
Published: November 2020

The aim of this study was to illustrate the importance of major sports events, such as marathons, and their economic impact on hotel performance during these unpredictable times for the events and tourism industry. The analysis was focused on the economic impact of the marathon event on hotel performance in the area hosting the race. For that purpose, we selected the Vienna City Marathon, held yearly in April, as a case. We hypothesized that there will be a higher impact of hotel performance a day prior to the marathon in regard to the hotel performance in multiple nonmarathon occasions. As indicators for hotel performance we have chosen hotel occupancy, revenue per available room, average daily rate and total revenue recorded for: day (always Saturday) prior to the marathon, year average, April average and average Saturday in April. Results from this study revealed significant effects of a marathon on three major hotel performance indicators (i.e., hotel occupancy, revenue per available room and total revenue). Findings from this study could serve the local government or event planners after the current crisis to justify financial investments in hosting a marathon or similar sports events for restarting tourism.
Cultural Heterogeneity and the Diverse Success Frames of Second-Generation Mexicans
Authors: Diaz Estela B. , Lee Jennifer
Published: November 2020

Mexican Americans are the largest immigrant and second-generation group in the country. Their sheer size coupled with their low educational attainment have generated concerns that, unlike Asian groups like Chinese Americans, Mexican Americans do not value education—a claim wielded by opponents of affirmative action. Drawing on analyses of the Immigration and Intergenerational Mobility in Metropolitan Los Angeles study, we challenge two underlying presumptions of this claim: the children of Mexican immigrants are less successful than the children of Chinese immigrants; and they are less committed to success. Centering our analyses on the hypo-selectivity of U.S. Mexican immigration, we maintain that how we measure success determines which group is more successful. Moreover, we show that second-generation Mexicans adopt diverse success frames that stem from cultural heterogeneity. Consequently, they pursue variegated strategies of action that include class-specific ethnic resources in their quest for success. Despite their remarkable intergenerational gains, the racialization of low achievement and the mark of a criminal record can be a death knell for mobility for the children of Mexican immigrants. Our research provides fruitful context to inform the current debate about affirmative action.
Non-Parental Family Members as Brokers of Family Social Capital: Compensatory Time Use in India
Authors: Alcaraz Melissa , Larsen Gibby Ashley , Luke Nancy
Published: November 2020

Non-parental family members are understudied but important brokers of family social capital, especially in contexts without a nuclear-family norm. We used rich time diary data from a sample of 1568 South Indian adolescents to examine the relationships between any time spent with parents, parents’ residency status, and the time spent with non-parental family members. We found that adolescents with at least one non-resident parent spent significantly more time with siblings, on average, when compared to adolescents with resident parents. We further found that adolescents spent more time with siblings in educational activities, such as studying, when they had at least one non-resident parent. These findings point to the importance of considering non-parental family members in studies of family social capital, especially in low- and middle-income contexts. Our findings challenge resource dilution theories by demonstrating that siblings themselves act as resources, rather than simply competitors for parental resources.
Importance of Vehicle Body Elements and Rear Axle Elements for Describing Road Booming Noise
Authors: Herrmann Michael , Jöst Rainer , Kehl Florian , Özkan Ali , Pless Simon , Gauterin Frank
Published: November 2020

For investigating influences of vehicle components on the acoustic comfort at low frequencies, e.g., the booming noise behavior of a vehicle, building a whole car simulation model is useful. To reduce the model’s complexity and to save resources in the validation process, we first identify relevant components before building the model. Based on previous studies, we focus on the vehicle’s body and the rear axle. In this paper, we analyze which axle and body elements are crucial for describing road booming noise. For this purpose, we use impact measurements to examine noise transfer functions of the body and a vibro-acoustical modal analysis to identify coupled modes between the body’s structure and the interior cavity. For investigating relevant force paths from the rear axle to the body, we used a chassis test bench. We identify the main transmission paths of road booming noise and highlight which axle and body components have an influence on them. Mainly the rear axle in its upright direction in combination with a rigid body movement of the rear tailgate coupled with the first longitudinal mode of the airborne cavity causes road booming noise. Furthermore, the rear axle steering, the active roll stabilization and the trim elements of the vehicle’s body are essential to describe road booming noise. The results can be used to set priorities in the validation of individual axle and body components for future simulation models. We found that the ventilation openings, the front seats, the headliner, and the cockpit of a vehicle have little influence on its noise transfer functions from the rear axle connection points to the driver’s ear between 20 and 60 Hz.
Monitoring the Hydrological Balance of a Landslide-Prone Slope Covered by Pyroclastic Deposits over Limestone Fractured Bedrock
Authors: Marino Pasquale , Comegna Luca , Damiano Emilia , Olivares Lucio , Greco Roberto
Published: November 2020

Many mountainous areas in Campania, Southern Italy, are characterized by steep slopes covered by loose unsaturated pyroclastic deposits laying upon fractured limestone bedrock. The soil covers are mainly constituted by layers of ashes and pumices. Large and intense rainfall events trigger shallow landslides, often turning into debris flows that cause huge damage and casualties. The slope of Cervinara, around 40 km Northeast of Naples, was involved in a catastrophic flowslide on 16 December 1999, triggered by a rainstorm of 325 mm in 48 h. To capture the main effects of precipitation on the slope stability, hydro-meteorological monitoring activities have been carried out at the slope to assess the water balance for three years (2017–2020). The field monitoring data allowed the identification of the complex hydrological processes involving the unsaturated pyroclastic soil and the shallow groundwater system developing in the limestone bedrock, which control the conditions that potentially predispose the slope to landslide triggering. Specifically, late autumn has been identified as the potentially most critical period, when slope drainage processes are not yet effective, and soil covers already receive large amounts of precipitation.
Human rights and the impacts of climate change
Authors: Savaresi Annalisa
Published: November 2020

The Paris Agreement acknowledges the need to tackle the permanent and irreversible impacts of climate change. It does not, however, provide means to hold state and non-state actors accountable for the harm to persons, property and the environment associated with climate change. In 2009, the Office of the High Commissioner on Human Rights (OHCHR) noted that qualifying the effects of climate change as human rights violations posed a series of technical obstacles. More than a decade later, applicants around the world increasingly rely on human rights law and institutions to complain about harms associated with the impacts of climate change. National, regional and international human rights bodies stand on the frontline to bridge the accountability gap left by the Paris Agreement. This article therefore revisits the OHCHR’s assumptions, suggesting that we use human rights as an interim “gap-filler”, while we seek better tools to tackle the impacts of climate change.
Affective constructions of justice
Authors: Mustasaari Sanna
Published: November 2020

This article examines the political process and public debate in Finland concerning the Finnish women and children held captive in the refugee camp of Al-Hol in north-east Syria. The article studies the role of affect in the process of constructing justice in these debates. It argues that the debate demonstrates an affective process of bordering, in which a non-belonging and essentially non-Finnish identity was affectively constructed to the mothers, who were depicted as “converts” and “jihadists”. Emotions such as compassion were mobilised in the process with ambiguous outcomes. On the one hand, reference to compassion served the conservative agenda of attaching rights to worthiness, on the other hand reference to compassion towards the figure of the innocent child served to isolate the children from their mothers. In the legal context, the affectively constructed identities of the mothers as non-belonging were relevant to how the issue of rights and legal obligations of the state became perceived as something belonging to the realm of national law or international law.
DESIGN OF MOBILE HEART DISEASE APPLICATION BASED ON USERS PERSPECTIVE USING DESIGN SCIENCE RESEARCH APPROACH
Authors: Sobri Muhammad , Ijab Mohamad Taha , Mat Nayan Norshita , Tondas Alexander Edo , Paisal Paisal
Published: November 2020

In the era of the Fourth Industrial Revolution (4IR), many mobile heart disease applications are available on Apple App Store and Google Play and these applications enable heart patients to carry out self-monitoring of their heart conditions practically easily. However, when the user feels dissatisfied with the usability and affordances of the mobile heart disease application, it impacts the user satisfaction level to the extent that the users do not use it anymore. The user satisfaction level is a very important factor in the usability of any mobile application including mobile heart disease application which is comfortable and pleasant for continuous use. This paper uses the User-Centered Design (UCD) method towards understanding users’ perspective as the problem of lack of user satisfaction affects the usability and affordances of mobile heart disease applications. This study recruits twenty heart patients and four cardiologists in a hospital in Palembang, Indonesia for designing a mobile heart disease prototype called HeartM. The prototype has several features including measuring the patient’s heart rate, recording heart rate, chatting, sending reminders, and configuring system settings. The focus of this paper is on the design of the mobile heart disease application on its usability, affordances, and user satisfaction aspects based on the user's perspective. The overall study adopts the Design Science Research (DSR) approach. DSR approach involves several iterations to ensure the final prototype produces a better design compared to its previous iterations. This paper contributes to design knowledge and offers recommendations particularly for the design of mobile heart disease applications.
The Effect of Application Anemia Management Module On Improving Maternal Behaviors and Hemoglobin Level among Pregnant Women with Anemia
Authors: Nadziroh Irma , Anwar M. Choiroel , Sudirman Sudirman
Published: November 2020

Lack of knowledge of mothers on the importance of iron tablet consumption impact on compliance. So that the iron requirement is not fulfilled and the effect of anemia. Countermeasures to raise awareness and behavior to increase hemoglobin levels. Educational modules consisted of information regarding pregnancy and the importance of anemia Fe tablet consumption. The study aimed to examine the effect of the anemia management module to change mothers' behavior in improving hemoglobin levels. A quasi-experimental study pretest-posttest with a non-equivalent control group was applied in this study, with a purposive sampling technique, where the intervention and control groups, respectively, 14 people. The data were analyzed using an independent t-test. Furthermore, to determine the effect of continued modules using linear regression. The intervention effect on knowledge, attitudes, actions by the p-value of 0.00, but it does not directly influence HB's p-value 0.231 (> 0.05). With its application for 30 days with biweekly visits, the anemia management module effectively changes the mother's behavior to improve knowledge, attitudes, actions, and modules that do not directly influence Hb's increase. Use of the anemia management module as companion media education of health workers, especially in the range of PHC
Formation and Development of Innovation Clusters as a Prerequisite for the Transition Towards Intensive Economic Growth
Authors: Kharlamov A. V. , Sibgatullin A. E.
Published: November 2020

The presented study examines innovative economic growth and its stimulating processes based on the development of innovative clusters. This involves determining the regulatory role of the government and choosing a regulatory model that would reflect the specific features of the examined country’s economic system.Aim.The study aims to consider foreign and Russian experience to formulate proposals for improving the conceptual mechanism that would ensure Russia’s transition towards predominantly intensive economic growth using the opportunities provided by innovative clusters.Tasks.The authors analyze the strategic direction of development of the global and national economies; determine the potential of clusters and cluster development as a tool that facilitates and guides economic growth; identify problem areas in the cluster development of the Russian economy and substantiate a set of measures aimed at eliminating them; determine the methods of government involvement in facilitating cluster development and substantiate the choice of the most appropriate method for a particular national economy; consider the foreign experience of transforming industrial clusters into innovative clusters and adapt it to the Russian economy.Methods.This study critically analyzes different scientific approaches to determining the essence of a cluster and the nature of its impact on the development of economic entities and the national economy as a whole. It also uses analytical tools to propose an adjustment of existing approaches to cluster regulation in Russia and to facilitate the creation of innovative clusters.Results.The role of innovation clusters in Russia and globally is determined in the context of the transition to predominantly intensive economic growth. The major problems that make it impossible to receive maximum benefits from clustering are highlighted. The relationship between innovation and cluster development is determined with allowance for the competitiveness index. The changes necessary for ensuring high-quality economic growth and improving the efficiency of clusters, particularly innovative clusters, are proposed. Factors that ensure successful innovative development in accordance with the main directions of cluster policy are identified.Conclusions.Examination of the role of clusters in the formation of predominantly intensive economic growth, the current state of the Russian economy, and existing cluster policy models makes it possible to evaluate the prospects for the development of the Russian economy using the potential of innovative clusters.
IT Services Architecture for Oil Refinery Information Systems
Authors: Koronatov N. N. , Il’in I. V. , Levina A. I.
Published: November 2020

An oil refinery is a complex process manufacturing system that needs to be efficiently supported at all levels by information systems and technologies.

Aim.The presented study aims to formulate requirements for the IT services of oil refinery information systems in accordance with the architectural approach to enterprise management.

Tasks.The authors analyze existing approaches to the formation of requirements for oil refinery information systems, outline functional requirements for oil refinery information systems, and develop a high-level architecture for the IT services of oil refinery information systems.

Methods.The methodological basis of the study includes a service-oriented approach to analyzing the requirements of the enterprise management system for IT support.

Results.The authors propose a model service-oriented architectural solution for the IT support of oil refining processes and formulate industry-specific requirements for IT services in BI, ERP, MES, and APC systems.

Conclusions.By designing a service-based IT architecture for an enterprise, it is possible to implement an information flow management system that would meet current business needs, including an automated system. When designing the IT architecture of an oil refinery, it is important to pay special attention to manufacturing execution systems (MES) and automated process control systems (APCS). Implementations of such systems use IT solutions designed by developers specializing in the automation of oil refining enterprises.
Development of Strategic Entrepreneurship in Small and Medium-Sized Tourism Enterprises: The Role of Coopetition
Authors: Hasan Agha M.
Published: November 2020

Aim. The presented study aims to assess the potential of coopetition as an additional strategy to creating an integrated model for managing strategic entrepreneurship in the tourism sector.

Tasks. The authors define the concept of strategic entrepreneurship; determine and analyze the concept of coopetition; formulate the concept of strategic entrepreneurship in tourism; present the results of a qualitative study aimed at determining the most important forms of cooperation between tourism companies.

Methods. This conceptual study relies heavily on the examined literature, on theoretical reasons for using strategic entrepreneurship and coopetition in tourism enterprises, and on a qualitative study aimed at identifying meaningful areas of cooperation with competitors. Results. Strategic entrepreneurship is a new field based on the integration of entrepreneurship and strategic management. If used by the management, it can significantly boost the company’s performance. However, in small and medium-sized tourism enterprises, critical resources are usually limited. As a result, they have to cooperate with competitors to gain access to additional assets and opportunities. Coopetition is used as part of the strategic activities of tourism enterprises to provide the missing resources and promote innovations that could help satisfy the needs of tourists. Conclusions. Ccoopetition as an additional strategy will improve the strategic model of entrepreneurship, helping tourism enterprises achieve better performance.
Identification and Modelling of a Stock Level by Parametric Models
Authors:   physics department, faculty of sciencesAin-Chock University Hassan II, Casablanca, Morocco., FOURAIJI Hicham , NSIRI Benayad ,   physics department, faculty of sciencesAin-Chock University Hassan II, Casablanca, Morocco., Bensassi Bahloul ,   physics department, faculty of sciencesAin-Chock University Hassan II, Casablanca, Morocco.
Published: November 2020

In this paper, we present a modelling of a warehouse inventory management system. Themodelling method used in this paper is an application of parametric identification with models(ARX, ARMAX, OE and Box Jenkins). The approach followed during this modelling is togenerate a mathematical model that faithfully represents the level of stocks in a warehouse from receptions and shipments.
Role of Skeletonization Techniques for Recognition of Odia Off-Line Characters
Authors:   Department of Computer Science, SUIIT, Sambalpur University Odisha., Mishra Sagarika , Panda Dr Chandra Sekhar ,   Associate Professor and Department of Computer Science & Applicationm Sambalpur University Odisha.
Published: November 2020

Many character recognition methods use a thinning stage which facilitates shape analysis and stroke identification. There are several thinning algorithms reported in the literature of OCR. Odia, one of the Indian languages, has structurally different scripts than other Indian languages. Unlike in other Indian scripts, there has not been any special effort by OCR researchers to develop recognition techniques of this unique structural character set. In this paper, some major thinning algorithms are examined with Odia character set and show that these algorithms exhibit some sort of deficiencies when applied to Odia characters and the vital features of the character is not retained in the process. We propose a new parallel thinning technique that preserves all important features of the script.
Singer Identification using Autocorrelation Method
Authors:   PhD student in the Electronics and Communication Engineering Department, Birla Institute of Technology, Deemed University., Biswas Sharmila , Solanki Dr. Sandeep Singh ,   Professor Electronics and Communication Engineering Department, Birla Institute of Technology, Deemed University
Published: November 2020

songs are the compositions embedding voice and different instrument’s sound. Different human emotions can be created by playing the appropriate song .autocorrelation algorithm is used here to find out singer identification. In the first experiment three singers with three hindi songs (vocal) are taken as data set. Tempo is used as musical features. Then autocorrelation is proposed on concerning a total of three singers. Using bartlett test we have found the most significant autocorrelation values of those songs of three singers. In second experiment three singers with one hindi song (vocal) are taken as data set. Here rms is used as musical features. Then autocorrelation is proposed on concerning those three singers. Using bartlett test we have found the insignificant autocorrelation values of the song of three singers. The first experiment is used to identify the singers for each song. Here three singers identify their own identification test giving most significant values of their songs .the second experiment gives the insignificant value. The insignificance values of musical features of three singers does not give the singer’s identification test.
New Lindley Half Cauchy Distribution Theory and Applications
Authors:   Associate Professor, Department of Management Science, Nepal Commerce Campus, Tribhuwan University, Nepal., Chaudhary Arun Kumar , Kumar Vijay ,   Department of Mathematics and Statistics, DDU Gorakhpur University, Gorakhpur, India.
Published: November 2020

In this paper, we have defined a new two-parameter new Lindley half Cauchy (NLHC) distribution using Lindley-G family of distribution which accommodates increasing, decreasing and a variety of monotone failure rates. The statistical properties of the proposed distribution such as probability density function, cumulative distribution function, quantile, the measure of skewness and kurtosis are presented. We have briefly described the three well-known estimation methods namely maximum likelihood estimators (MLE), least-square (LSE) and Cramer-Von-Mises (CVM) methods. All the computations are performed in R software. By using the maximum likelihood method, we have constructed the asymptotic confidence interval for the model parameters. We verify empirically the potentiality of the new distribution in modeling a real data set.
Information Technology Spillover and Organizational Performance
Authors:   Ph.D. Associate Professor Central Department of Management, Tribhuvan University, Nepal., Pandey DhrubaLal , Risal Nischal ,   Ph.D. Scholar Lecturer Nepal Commerce Campus, Tribhuvan University, Nepal.
Published: November 2020

IT is considered as a prominent cause for an organization’s success. IT assists in collecting, processing and disseminating data and information that helps in decision-making and ultimately in increasing performance. Presenting and justifying the effectiveness of technology in generating performance is a critical task. In the 21st century competitiveness is considered as the outcome of effective use of information technology. As in other countries, Information Technology is substantially used by the organizations in Nepal but assessment of effectiveness of IT and its impact on organizational performance is very few. Thus, this study is conducted to determine the level of use of information technology and its relationship with organizational performance. To achieve the objectives of the study, a descriptive and correlational design was used. Primary data was collected through a questionnaire administered electronically. The population for this study comprised of employees working on different business sectors and 120 employees were selected as sample.Mean and percentage were used to assess level of use of IT in the different sectors of business in Nepal. Correlation matrix was developed using Pearson correlation for the assessment of relationship between IT and organizational performance. The study findings revealed that there was a positive relationship between the IT use and organizational performance. Similarly the use of IT helps to achieve the target, make more accountable to the authorities and improve service quality. Government of Nepal promulgated and implemented IT policy. IT policy prioritized to the use of IT in the rural and urban areas and small to large organizations as well. But the use of IT is not as expected and business sector is also reluctant to use it because of its cost. Government of Nepal formed committees to make effective use of IT but use of IT and its effectiveness seems low. Thus, this study helps revive the IT policy to the government and develop programs for the effective use of IT in business sector.
Blockchain-based Secure Big Data Storage on Cloud
Authors:   Computer Technology, MIT Campus- Anna University, Chennai, Tamil Nadu, India., D Manikandan , C Valliyammai ,   Computer Technology, MIT Campus- Anna University, Chennai, Tamil Nadu, India., RN Karthika ,   Computer Technology, MIT Campus- Anna University, Chennai, Tamil Nadu, India.
Published: November 2020

In the cryptocurrency era, Blockchain is one of the expeditiously growing information technologies that help in providing security to the data. Data tampering and authentication problems generally occur in centralized servers while sharing and storing the data. Blockchain provides the platform for big data and cloud storage in enhancing the security by evading from pernicious users. In this paper, we have discussed the exhaustive description of blockchain and its need, features and applications. Analysis of blockchain is done for different domains such as big data, cloud, internet of things and mobile cloud where the differences V’s are compared with big data and blockchain. SWOT (Strength Weakness Opportunities Threats) analysis is performed to address the merits and limitations in blockchain technology. The survey in aspects of data security, data storage, data sharing and data authentication through blockchain technology is done and the challenges are discussed to overcome the problem that leads in big data and cloud storage. The detailed comparative analysis proves that the blockchain technology overcomes the problems in big data storage and data security in cloud.
Multiobjective Discrete Spectral and Spatial Optimized Representation for Land-Cover Classification using Landsat Hyperspectral Images
Authors:   Computer Science, Pioneer College of Arts and Science, Coimbatore, India., Ragul K. , Balakumar Dr. N. ,   Computer Science, Pioneer College of Arts and Science, Coimbatore, India.
Published: November 2020

The availability of hyperspectral images with improved spectral and spatial resolutions provides the opportunity to obtain accurate land-cover classification. . The changes in land cover largely affect the terrestrial ecosystem, thus information on land cover is important for understanding the ecological environment. Quantification of land cover in urban area is challenging due to their diversified activities and large spatial and temporal variations. In order to improve urban land cover classification and mapping, a novel framework named as Multiobjective Discrete Spectral and Spatial optimized representation for end member extraction has been proposed in this paper. It is considered as hyperspectral (HS) data exploitation model on identification of pure spectral signatures (endmembers) and their corresponding fractional abundances in each pixel of the HS data cube. High dimensionality of the data leads to computational complexity as it represents the Hughes phenomenon. Feature reduction strategy based on principle component analysis has been employed to generate reduced dimensionality of the features on retaining the most useful information. The reduced features have been taken for the spectral analysis and spatial analysis using Multiobjective Discrete Spectral and Spatial optimized representation model through encompassing the sparse and low-rank structure on the spectral signature of pixels. Identification and mapping of the land cover classification categorized as agriculture area and bare land has been identified using spectral indices (end members). The spectral indices calculation provides the type of land cover on the pixel purity index and it classifies based on the spectral and spatial value using N finder algorithm. N finder Algorithm is a change vector analysis. Experimental analysis has been carried out using Landsat-8 dataset to evaluating the performance of the proposed representative framework using available spectral indices against the state of art approaches. Proposed framework achieves accuracy of 99% on reflectance value against the different wavelength which superior with other existing classification approaches.
Design of Piezoelectric Based Power Generation System for Electric Vehicle
Authors:   Department of Electrical Communication Engineering, RUAS, Bangalore, India., Hegde Hariprasad , Roy Dr. Ugra Mohan ,   Assistant Professor, Department of Electrical Communication Engineering, RUAS, Bangalore, India., Kumar Mrinal ,   Department of Mechanical Engineer, Bangalore, India.
Published: November 2020

Increase in demand for vehicles are most threatening for global warming. It cannot be stopped as it is one of the basic needs of the world. Few automobile companies started thinking about alternatives and developed hybrid vehicles, electric vehicles, solar powered vehicles, etc. As industry is directing towards new era, it opens up new problems as well. Many companies, institutions are researching on future electric vehicles and its specific problems. One of the needs in current scenario is dynamic charging of electric vehicle battery as it increases the number of running hours of vehicle, thus efficiency. This project would throw some light on dynamic recharging of electric vehicle battery by using piezoelectric devices installed on its tyres. Study has been conducted majorly on magnitude and signature of the output voltage and current from piezoelectric device and battery charging circuit. Supercapacitor is the primary component used in charging circuit to store the charge and feed back to battery of electric vehicle in running condition. Circuit has been simulated with 6 quantity of piezoelectric devices to understand the functionality of concept. It is concluded that 1.65 mW of power can be generated from 4 tyres of car at applied force of 50 N. But, actual force on tyre would vary from 900 N to 1500 N and it is fair to expect more power generation from each tyre.
Artificial Intelligence– Electronic Medical Records Framework to predict COVID-19 by using Wearable IoT Devices
Authors:   Department of Computer Science and Information Systems AlMaarefa University, PO Box 71666, Riyadh, Kingdom of Saudi Arabia., Atoum Ibrahim A.
Published: November 2020

orona virus is an infectious disease that causes respiratory infections, producing fever, difficulty breathing, and dry cough, which may be more dangerous for people who suffer from chronic diseases. Wearable Devices (WD) have been recently adopted in a wide range of areas to show distinct potentials in the healthcare field. The different types of WDs can be one of the important steps towards improving patient care while reducing the cost based on artificial intelligence (AI) applications. These applications work on big data that arise from WDs despite the existence of various challenges such as user acceptance, security, ethics issues, big data, AI and interoperability. The purpose of this study is to drawthe possibility of utilizing the big data arising from integrating WDs with the electronic Medical records (EMR) through applying AI technologies which in turn will lead to the possibility of employing all of these technologies in predicting COVID-19 infection.
Defects and Problems of the Asphalt Paved Roads in Al-Salt City Reasons and treatment Methods
Authors:   Civil Engineer, Salt, Jordan., Al-Qummaz Surat Mahmoud Awwad
Published: November 2020

This research aims to identify the reality of paved asphalt roads in the city of Salt in the Hashemite Kingdom of Jordan, and to address defects and problems related to asphalt roads, their causes and possible treatment methods to provide safe and smooth driving, and reduce the number. Of accidents and road rehabilitation costs, the research used field survey to construct roads, and the research concluded that recommendations were made to construct asphalt roads to maximize economic growth, create jobs, and prosperity – the quality of roads is one of the main considerations for developers using selected to do business in the society.
Assessment of Persuasive Design Principles in E-Commerce Applications Based on Users’ Reviews
Authors:   Dept. of Information Systems, King Faisal University, Kingdom of Saudi Arabia., Almutairi Amjad , Alshamari Majed ,   Dept. of Information Systems, King Faisal University, Kingdom of Saudi Arabia.
Published: November 2020

Different e-commerce applications aim to utilize different techniques and methods to enhance their usability and persuasive design experience. Persuasive design persuades users to use an application. Users also review the applications they use and provide comments based on their experiences. Therefore, this study aims to examine that to what extent the principles of the persuasive systems design (PSD) model have been implemented in a number of e-commerce applications in Saudi Arabia based on user reviews. Users’ reviews have been extracted using Appbot tool. Filtering and categorizing the collected users’ reviews took place before analyzing the data. The filtering and categorization were based on PSD model. The results demonstrate which principles of the PSD model are highly used in the selected applications based on users’ reviews. Tailoring, tunneling, and reductions principles have been reported to be positively utilized and implemented by the selected applications. Moreover, the findings report different users’ reviews on rewards and social supports principles.