Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer perception of service quality The case of Airbnb and Couchsurfing

Recent economic, social and environmental concerns have drawn attention to the necessity to rethink our consumption patterns (Barnes & Mattsson, 2016) and call for alternative forms of consumption. In parallel, digitalization dramatically changes the way we live, work, consume and travel (OECD, 2020). As a result, new consumption practices have emerged in the last years, privileging access over ownership (Botsman & Rogers, 2010). Those practices, labelled as sharing economy or collaborative consumption (Belk, 2014; Benoit et al., 2017; Botsman & Rogers, 2010), involve most of the time peer-to-peer exchanges (for a fee or for free) that are coordinated through community-based online services (Hamari, Sjoklint & Ukkonen, 2016). Such collaborative services have recently boomed, impacting many sectors, including the hospitality and tourism industry (Sigala, 2017), with well-known initiatives such as Airbnb or Couchsurfing. Peer-to-peer accommodation services are transforming the tourism industry (PWC, 2015) by enabling consumers to share and access goods escaping traditional services like hotels and travel agencies. According to Hotrec (2014), peer-to-peer accommodation is twice bigger than the conventional tourism accommodation industry in Europe. The World Bank Group estimates a 31% annual growth of this new accommodation type between 2013 and 2025, which is six times bigger than the annual growth of the conventional bed and breakfast and hotel industry. In total, peer-topeer accommodation makes up about 7% of accommodation worldwide (Bakker & Twining-Ward, 2018). Two of the most sucessful sharing economy unicorns, AirBnB and Couchsurfing, have very different business models. Airbnb is an online peer-to-peer marketplace that matches hosts wishing to share their home with travelers (i.e. guests) who are looking for accommodation. Valued at 38 billion USD (Forbes, 2018), Airbnb has more than 60 million customers and around two million accommodations in the world (OECD, 2016). At the opposite, Couchsurfing is a free online hospitality exchange network that connects travelers looking for a place to sleep with people offering their ‘couch’ for a couple of nights. The community gathers around ten million members around the world.
Research on Dynamic Evolution of Liquid Organization based on Life Cycle Theory

In order to clarify the evolution process and characteristics of liquid organization, this paper constructs a new dynamic evolution model of liquid organization based on the evolution model of the Logistic equation, and uses a combination of qualitative and quantitative research methods to analyze the dynamic evolution process of liquid organization. The size of the organization determines its position in the life cycle, and divides its dynamic evolution process into five stages: formation, growth, maturity, stable, and decline (evolution), and analyze its evolution characteristics and laws.
Las Tecnologías E-Learning y TIC en el Aprendizaje a Largo Plazo de la Anatomía Humana en Estudiantes del Área de la Salud: Una Revisión de la Literatura

RESUMEN: Los propósitos de esta revisión literaria fueron, identificar estudios que explorarenlas tecnologías e-learning y TIC y su impacto en el aprendizaje a largo plazo, y evaluar la calidad de los estudios en esta aérea. Se realizaron búsquedas en las bases de datos PubMed (Medline), Ovid (cochrane Central), Ovid (Medline), Ovid (Global Health), Scopus, Web of Science (clarivate) y Science Direct, incluyendo las palabras clave: Education Distance, eLearning, Learning, Learning Curve, Long Term Memory, active learning, Repetion Anatomy, Anatomy Cross-Sectional, Anatomy Regional, Students Health Occupations y Medical education. Tres evaluadores de forma independiente evaluaron la calidad de las investigaciones utilizando el instrumento de Calidad del Estudio de Investigación de Educación Médica (MERSQI). El total de resultados inicialmente fueron 557 artículos de investigación, al aplicar los criterios de inclusión y exclusión por los evaluadores se identificaron un total de 25 artículos. Posterior a la revisión de los artículos se incluyeron 2 investigaciones que cumplieron con los criterios de síntesis en esteestudio. En conclusión, la incorporación de las tecnologías e – learning y TIC permitió evaluar el aprendizaje a largo plazo, aporto motivación y aumento en las habilidades del conocimiento, además de ser una herramienta para el proceso de Enseñanza – aprendizaje -evaluación, sin embargo, se necesitan investigaciones que evalúen cuidadosamente el impacto de los factores preponderantes del aprendizaje largo plazo, mientras se utilizan las tecnologías e-learning y TIC.
Optimizing the Software Testing Problem Using Search-Based Software Engineering Techniques

Software testing is a fundamental step in the software development lifecycle. Its purpose is to evaluate the quality of software applications. Regression testing is an important testing methodology in software testing. The purpose of regression testing is to validate the software after each change of its code. This involves adding new test cases to the test suite and running the test suite as the software changes, making the test suite larger. The cost and time of the project are affected by the test suite size. The challenge is to run regression testing with a smaller number of test cases and larger amount of software coverage. Minimization of the test suite with maximization of the software coverage is an NP-complete problem. Search-based software engineering is an important topic in software engineering, which addresses software engineering optimization problems to find the optimal/approximate solution of the given problem. This study investigated an approach to reducing the regression testing effort and saving time. It also solved the regression testing optimization problem by achieving the maximum test suite coverage with the minimum test suite size. Several experiments were conducted to obtain the optimal solutions for the regression testing problem. We propose an optimization methodology that combines a genetic algorithm and a greedy algorithm to optimize regression testing by respectively maximizing the software test coverage and minimizing the test suite size. The proposed methodology can conveniently deliver fault-free, fully covered, and powerful programs for mission-critical functions. It can be applied to test a real-time system that has high requirements for reliability, security, and safety.
Analysis of Selected Pesticide Residues and Heavy Metals in Honey Obtained from Plateau State, Nigeria

Honey bees derive their nutrients from nectars and other plant materials. These naturally available materials are affected by the residual presence of pesticides. The concentration of pesticides in honey comb then reflects the leftover after degradation. In this study, samples of honey were collected from five different farms in Plateau State and analyzed for pesticide residues (atrazine, cypermethrin) and heavy metals (Pb, Cd, Cr, Fe and Mn) using GC-MS and AAS techniques. Results of the analysis indicated that atrazine and cypermethrin were found in the range (0.01 - 0.36 and 0.11 - 0.26) mg/kg, respectively in all the samples. Mn and Fe were found across the samples while Cd was detected only in the sample obtained from Maraban Jos (0.0013 mg/kg). Except Bokkos and Maraban Jos, Pb was detected in other samples. This study revealed that all samples contained the selected pesticide residues above the maximum residue limits recommended by European Union, while concentration of heavy metals in all the samples except Mn was below the maximum concentration limits recommended by Food and Agriculture Organization. The high concentration of pesticide residues in the samples indicates contaminated environment in which the bees fed; therefore intermittent monitoring of the quality of honeys produced would be necessary as this calls for urgent attention.
Increase in soil organic carbon in a Mollisol following simulated initial development from parent material

Better understanding of the effects of land use and agricultural management on organic carbon (C) sequestration is needed to optimize the restoration of fertility in degraded soil, maintain agricultural sustainability and mitigate emissions of greenhouse gases with C sequestration. Most current studies of C sequestration focus on mature soil, whereas there has been little research on soil development from C‐poor parent material. The aim of this study was to assess soil organic carbon (SOC) stocks and C sequestration rates during the early stages of development of a Mollisol from parent material under different types of vegetation, fertilizer application regimes and organic matter inputs, and to compare the results with C sequestration of a mature Mollisol under similar management. Carbon stocks were recorded from 2004 to 2012 in the parent material of a Mollisol under natural fallow (NatF), alfalfa (Medicago sativa L.) (Alfa) or soya beans (Glycine max (Merrill.) L. ) and maize (Zea mays L.) (S–M) rotations with and without fertilizer application and crop residues returned or removed at harvest. There was a positive non‐linear relation between C inputs and SOC stocks; increases in SOC stocks decreased with larger additions of C. After 8 years of treatments, the SOC stocks at 0–20‐cm depth had increased in the order S–M + fertilizer + all residues returned (61%) > Alfa (60%) > S–M + fertilizer + part of residues returned (50%) > NatF (30%) > S–M + fertilizer without residue return (17%) > S–M without fertilizer or residue return (7%). These increases in SOC stocks corresponded to annual C sequestration rates of 0.02–0.83 Mg C ha−1 year−1. In contrast, SOC stocks in the 0–20‐cm layer of the mature Mollisol changed little under similar treatments in a wheat (Triticum aestivum L.)–maize–soya bean rotation. Our results have practical implications for how vegetation and agricultural practices could be used to optimize soil restoration and C sequestration in a temperate continental monsoon climate.
Debt in Islam: Survey in Consumer Perception

Consumption is closely related to planning household expenses to purchase goods and services to meet the demands of living needs. The economic climate has now shown the tendency of society to over spending which is difficult to control leading to high debt. The household debt issue is seen as a crisis with great impact in influencing the macroeconomic stability level of a country. The negative effects of consumption activities in this modern economy cannot be healed unless the Muslim community return to the true understanding of Islamic consumption concept. This study aimed to examine the concept of debt in Islamic consumerism as household debt also serves as an injection to consumption. This study used descriptive analysis on the consumerism concept according to Islam and its relation to debt by referring to the Quran, hadith and literature review. Secondary data were taken from websites and research papers. The findings of the study showed that the consumption theory in the Islamic economy is able to provide a good and practical way of spending without causing inflation and dissipate that will inevitably lead to debt problems.
The use of A. mellifera drone's olfactory sensitivity towards pathological odours as a selection trait in the breeding against V. destructor

The most effective strategy against brood diseases, such as infestation by the mite Varroa destructor, is the early detection and removal of sick brood. Recent findings suggest that genes associated with worker bees' olfactory perception play a central role in Varroa-sensitive hygiene (VSH). In the following approach, Apis mellifera drones' odour sensitivity was examined through a standardised Proboscis extension response (PER) test. Individuals with a positive/negative conditioning outcome to two parasitised-pupae extracts (extract-low and extract-high) were used for breeding. Twenty-one queens from a VSH selection line (SelQ) and nineteen queens from an unselected line (ConQ) were single-drone-inseminated with drones that showed either a positive (SenD+) or a negative (SenD-) PER test. Individual VSH behaviour of a total of 5072 offspring of these combinations (SelQ x SenD+, SelQ + x SenD-, ConQ x SenD+, ConQ x SenD-) was subsequently observed in a specially designed unit with infrared light. The results from the observation were also separately examined, considering the hygienic status of the participating queens and drones. The results of the PER test of the drones were not significantly reflected in the VSH results of the respective offspring. On the other hand, the participating queens/drones' hygienic status was crucial for the manifestation of VSH.
A brief insight on knowledge about Viral Hepatitis in Pregnancy among clinicians

Introduction Methodology Results Conclusion References Citation Tables / Figures Corresponding Author Ms Akanksha Bansal, Senior Manager (Projects), Project ECHO, PRAKASH and LEAD, Institute of Liver and Biliary Sciences, Vasant Kunj, Delhi 110070. E Mail ID: abansal@ilbs.in
Equation of State, Nonlinear Elastic Response, and Anharmonic Properties of Diamond-Cubic Silicon and Germanium: First-Principles Investigation

Abstract Nonlinear elastic properties of diamond-cubic silicon and germanium have not been investigated sufficiently to date. Knowledge of these properties not only can help us to understand nonlinear mechanical effects but also can assist us to have an insight into the related anharmonic properties, so we investigate the nonlinear elastic behaviour of single silicon and germanium by calculating their second- and third-order elastic constants. All the results of the elastic constants show good agreement with the available experimental data and other theoretical calculations. Such a phenomenon indicates that the present values of the elastic constants are accurate and can be used to further study the related anharmonic properties. Subsequently, the anharmonic properties such as the pressure derivatives of the second-order elastic constants, Grüneisen constants of long-wavelength acoustic modes, and ultrasonic nonlinear parameters are explored. All the anharmonic properties of silicon calculated in the present work also show good agreement with the existing experimental results; this consistency not only reveals that the calculation method of the anharmonic properties is feasible but also illuminates that the anharmonic properties obtained in the present work are reliable. For the anharmonic properties of germanium, since there are no experimental result and other theoretical data till now, we hope that the anharmonic properties of germanium first offered in this work would serve as a reference for future studies.
Learning Microeconomics during the Pandemic: Does Digital Platform Management Matter?

This study aimed to analyze how student engagement affected their satisfaction, and to describe the comparison of student engagement and student satisfaction between Microeconomics online classes based on digital platform management. Two compared classes were distinguished in terms of digital platform variance. Using a quantitative approach, this study included 88 students from both classes who answered the online Likert Scale questionnaire after finishing their online Microeconomics classes during the Covid-19 pandemic. The results showed that student satisfaction and student engagement were higher if the class combined different digital platforms. However, some components of student engagement namely peer-to-peer support, student-lecturer communication, and self-learning management were not intervened by digital platform management. Meanwhile, student engagement had a strong effect to student satisfaction during online learning. The findings implicated that digital platform management was important to increase student satisfaction and student engagement in online learning but it had not changed student willingness to communicate or their learning attitude. Therefore, the related factors affecting them need to be explored more to optimize online learning benefits.
RESPONSES OF SOIL RHIZOSPHERE FUNGI TO N APPLICATION LEVELS IN DIFFERENT TYPES OF SOIL

The response of maize soil rhizosphere fungi to different N application levels (0, 168, 240, 270, and 312 kg·ha) in sandy, meadow and alluvial soils were investigated by sequence variations in ITS rDNA determined with Illumina MiSeq sequencing. The result showed that with N application levels increased, soil available nutrients changed significantly, but total nutrients changed little, and the nutrient content site in meadow soil was higher than that in sandy soil and alluvial soil. The rhizosphere fungal community was mainly composed of Ascomycota and Basidiomycota. N application did not change the relative abundance of fungi significantly, but altered the structure of fungal communities. The relative abundance of Basidiomycota was increased with N application. Moreover, N application also increased fungal pathogens: Alternaria, Rhizopus and Waitea significantly. In addition, the soil fungal communities were clustered into two main groups, one for the meadow soil sites and another for the sandy soil and alluvial soil sites. Soil fungal community structure changed when nitrogen application level exceeded 168 kg·ha. Our findings on the responses of fungal community to N application levels in different types of soil is important to determine rational fertilization application measures.
Towards a comprehensive methodology for applying enterprise gamification

Gamification as a new concept uses game elements in a novel way to engage users of a non-gaming system and can be used in many domains within an enterprise, to implement the organizational processes with lower costs, higher quality or in a more efficient way. Although there are many researches on gamification but a few studies can be found in the organizational gamification and there are few research works about framework and methodology for designing and implementing organizational gamification in the literature. The purpose of this article is to provide a comprehensive methodology for the enterprise gamification. This research is an attempt to overcome the mentioned gap via presenting a methodology by applying some important issues including organizational, humanity and gamification aspects together to design and implement customized enterprise gamification solutions through reviewing the related literature and experts’ commentaries. The evaluation of the methodology showed that it is an appropriate and perfect way to design gamification solutions in an organization, besides the enterprise needs to provide the necessary conditions for its implementation. This paper forwards an important debate on a comprehensive methodology for applying enterprise gamification, which explains how to properly use gamification in enterprises to increase productivity and better communication with employees, and thus contributes to literature on internal and enterprise gamification.
Maintenance Cultures of Kupffer Cells Isolated from Rats of Various Ages: infrastructure, Enzyme Cytochemistry, and Endocytosis

Sinusoidal liver cells were isolated from the livers of 3‐, 12‐, 30‐, and 36‐month‐old female BN/ BiRij rats by enzymatic digestion. The Kupffer cells in the sinusoidal eel suspensions were purified by centrifugal elutriation and kept in maintenance culture for periods of up to about 3 weeks. The viability and yield of Kupffer cells per gram of body weight did not change with the age of the donor rat. The ultrastructural, cytochemical, and functional characteristics of Kupffer cells as observed in perfusion‐fixed liver were retained during several days of maintenance culture. The consistent observation of worm‐like structures in cultured Kupffer cells indicated the reformation of the specific fuzzy coat of the cells during culture. Endogenous peroxidatic and acid phosphatase activities were evident in cultured Kupffer cells and showed the same localization as observed in perfusion‐fixed liver. Kupffer cells in culture were able to endocytose colloidal carbon, latex particles (0.8 m̈m), horseradish peroxidase, and endotoxin, indicating the reappearance of different types of specific membrane receptors. The ultrastructural appearance of Kupffer cells was not markedly influenced by the age of the donor rat. However, with increasing age, the lysosomes showed increasing amounts of electron dense lipid‐like material and iron in the form of ferritin. No qualitative age‐related changes in the enzymes tested or in the endocytic capacity of the Kupffer cells were observed. On the basis of these observations, maintenance cultures of purified Kupffer cells can be considered as a valuable model for studying Kupffer cell functions, also in relation to aging phenomena.
The Concept of AI-Based Algorithm: Analysis of CEUS Images and HSPs for Identification of Early Parenchymal Changes in Severe Acute Pancreatitis

(1) Background: Identifying early pancreas parenchymal changes remains a challenging radiologic diagnostic task. In this study, we hypothesized that applying artificial intelligence (AI) to contrast-enhanced ultrasound (CEUS) along with measurement of Heat Shock Protein (HSP)70 levels could improve detection of early pancreatic necrosis in acute pancreatitis. (2) Methods: Acute pancreatitis (n = 146) and ageand sex matched healthy controls (n = 50) were enrolled in the study. The severity of acute pancreatitis was determined according to the revised Atlanta classification. The selected severe acute pancreatitis (AP) patient and an age/sex-matched healthy control were analysed for the algorithm initiation. Peripheral blood samples from the pancreatitis patient were collected on admission and HSP-70 levels were measured using ELISA. A CEUS device acquired multiple mechanical index contrast-specific mode images. Manual contour selection of the two-dimensional (2D) spatial region of interest (ROI) followed by calculations of the set of quantitative parameters. Image processing calculations and extraction of quantitative parameters from the CEUS diagnostic images were performed using algorithms implemented in the MATLAB software. (3) Results: Serum HSP-70 levels were 100.246 ng/ml (mean 76.4 ng/ml) at the time of the acute pancreatitis diagnosis. The CEUS Peek value was higher (155.5) and the mean transit time was longer (40.1 s) for healthy pancreas than in parenchyma affected by necrosis (46.5 and 34.6 s, respectively). (4) Conclusions: The extracted quantitative parameters and HSP-70 biochem∗Corresponding authors. 306 A. Kielaite-Gulla et al. ical changes are suitable to be used further for AI-based classification of pancreas pathology cases and automatic estimation of pancreatic necrosis in AP.