Miracle-dz/UniFAR-FTUs huggingface dataset:
Three decades of research on loyalty programs: A literature review and future research agenda

Abstract Loyalty programs (LPs) are an important marketing instrument used to promote repeat purchases and customer relationships. Although numerous studies have shed light on the adoption, design, and outcomes of LPs, research that reviews the accumulated knowledge in a holistic manner is sparse. Against this background, this study reviews 131 LP-related articles following the Theory–Context–Characteristics–Methodology (TCCM) review protocol. By considering the theories, contexts, characteristics, and methodologies used in LP research, this study (1) paints the most comprehensive picture of the field to date and (2) develops a future research agenda to help advance the field further. Our review reveals that existing studies mostly rely on status-based, inertia-based, or relationship-based mechanisms to theoretically explain LP-related effects, while multi-theoretical perspectives are rare. LP research focuses strongly on a few key industries, such as retail, airlines, and hotels, but lacks insights into the design and outcomes of LPs in online and B2B contexts. Furthermore, we diagnose a need for more research on the role of competition among LPs and the impact of recent technological advances on LP management.
Effect of Hypoglycemia on Measures of Myocardial Blood Flow and Myocardial Injury in Adults With and Without Type 1 Diabetes: A Prospective, Randomized, Open-Label, Blinded Endpoint, Cross-Over Study

Aims: Hypoglycemia provokes a profound autonomic response in humans including cardiovascular effects. This study examined the effect of experimentally-induced hypoglycemia on measures of myocardial blood flow and myocardial injury in adults with, and without, type 1 diabetes.Methods and Results: In a prospective, randomized, open-label, blinded, endpoint cross-over study, 17 young adults with type 1 diabetes with no cardiovascular risk factors, and 10 healthy non-diabetic volunteers, underwent hyperinsulinemic euglycemic (blood glucose 4.5-5.5 mmol/L) and hypoglycemic (2.2-2.5 mmol/L) clamps. Myocardial blood flow was assessed using transthoracic echocardiography Doppler coronary flow reserve (CFR) and myocardial injury using plasma high-sensitivity cardiac troponin I (hs-cTnI) concentration. During euglycemia, a non-significant trend for lower CFR was observed in participants with type 1 diabetes than in those without type 1 diabetes (3.66±0.47 versus 3.92±0.85), and a non-significant lower trend also occurred during hypoglycemia (type 1 diabetes: 3.54±0.58 versus non-diabetes: 3.80±0.84). A generalized linear mixed-model analysis was performed, with diabetes status and euglycemia or hypoglycemia as factors affecting CFR. No significant statistical difference in CFR was observed for diabetes status (p=0.23) or between euglycemia and hypoglycemia (p=0.31). No changes in hs-cTnI occurred during hypoglycemia or in the recovery period (p=0.86). Conclusions: While the observed reduction in coronary flow reserve did not achieve significance during exposure to insulin-induced hypoglycemia in healthy young men with type 1 diabetes, with no evidence of myocardial injury, adverse cardiovascular effects of hypoglycemia cannot be excluded in older people who have coronary disease. Further studies are required to investigate this putative problem.
Formation and Release of the Harang Reversal Relating With the Substorm Onset Process

With the interplanetary magnetic field (IMF) that turns from northward to southward, the global simulation successively reproduces the growth phase, the onset, and the expansion phase of the substorm. The calculated ionospheric convection for the growth phase reproduces the development of the Harang reversal (HR), the upward field‐aligned current (FAC), and the upcoming onset point as observed. Magnetic field lines traced from the center of the nightside upward FAC are open, while the magnetic field line traced from the onset point is closed. These open magnetic field lines map to flow shear just outside the O/C boundary. Seen from the magnetic configuration, the growth phase proceeds as the replacement process of nulls. Two new nulls appear on the dayside under the southward IMF, while two old nulls under the northward IMF retreat tailward forming two bifurcation regions on the dawn and dusk flanks. Flow shear around the O/C boundary forms by magnetospheric convection that returns to the dayside via bifurcation regions. The expansion phase proceeds through a topological change by the near‐earth neutral line (NENL). The NENL occurs inside the thinned structure of the northward IMF remnant, on the low‐latitude side of the flow shear, and projects down to the low‐latitude edge of the upward FAC. Associated with the NENL, the convection return path changes to the center of the plasma sheet and reveals in the ionosphere as the release of the HR. By the shrinkage of projecting magnetic field line, the O/C boundary migrates poleward in the ionosphere.
Analysis of the Gravity Movement and Decoupling State of China’s CO2 Emission Embodied in Fixed Capital Formation

Investment is an essential engine of economic growth and a major source of China’s CO2 emission. It is therefore crucial to explore the gravity movement and decoupling state of China’s CO2 emission embodied in fixed capital formation (FCF). This study aims to estimate China’s CO2 emissions embodied in various categories of FCF by using input–output tables. The gravity model and Shapley decomposition method are used to explore the gravity movement and regional contributions for China’s CO2 emissions embodied in FCF. Then, the Tapio decoupling model and logarithmic mean Divisia index (LMDI) method are combined to uncover the decoupling relationship between CO2 emissions and economic growth embodied in FCF and the corresponding driving factors. The results show that China’s CO2 emissions embodied in FCF experienced a rapid increase during 2002–2012 and remained almost stable during 2012–2017. The gravity center for CO2 emissions embodied in FCF moved toward northwest during 2002–2015, with the northwestern region and middle Yellow River region being the main engine regions. The relations between CO2 emissions and added values embodied in various categories of FCF were weak decoupling during 2002–2017. Investment scale was the major factor inhibiting the decoupling, while embodied energy intensity was the major factor promoting the decoupling. Finally, several policy recommendations are proposed based on these findings.
Characterization of the exosomes in the allantoic fluid of the chicken embryo

Abstract: The embryo stage is critical for chicken development. Numerous studies have been conducted to clarify the dynamic changes and functions of various proteins and the composition of amino acids during embryo development. However, the physiological characteristics of extraembryonic fluid (allantoic and amniotic), especially allantoic fluid (AF), remain largely unexplored; furthermore, how information is transmitted from embryonic fluid is unknown. In this study, AF-derived exosomes ranging from 60 to 160 nm in diameter from fertilized eggs at 13 d of incubation of fast-growth chickens (WG chicken), medium-growth chickens (Silky N4 chicken), and slow-growth chickens (Huiyang Beard chicken) were isolated and purified by different ultra-centrifugations and further verified by transmission electron microscopy and a flow nano-analyzer. Expression of the exosomal positive biomarkers of ALIX and HSP70 as well as lack of the epithelium marker GRP78 was observed by Western blotting. In addition, small RNA sequencing revealed that AF-derived exosomes at 13 d of incubation contained a large number of known miRNAs (32.62%–65.83%). The top 10 most abundant and co-expressed miRNAs were primarily related to development, growth, and immunity. In addition, AF-derived exosomes promoted DF-1 cell migration. These findings broadened our understanding of the characteristic of AF-derived exosomes.
Bisphenol A and other alkylphenols in the environment - occurrence, fate, health effects and analytical techniques

Bisphenol A and other alkylphenols are widely used in plastic and other industrial consumer products. Release of these compounds into the aquatic environment during their manufacture, use and disposal has been a great scientific and public concern due to their toxicity at high concentrations and endocrine disrupting effects at low concentration on aquatic wildlife and human beings. This paper reviews the published data and researches on the environmental occurrence, distribution, health effects and analytical techniques of bisphenol A and alkylphenols. The aim is to provide an overview of the current understanding about bisphenol A and alkylphenols in the environment and the difficulties faced today in order to establish standard and systematic environmental analysis and assessment process for these endocrine disruptor compounds.
Unsupervised Process Fault Detection with Random Forests

Process monitoring technology plays a vital role in the automation of mineral processing plants, where there is an increased emphasis on safe, cost-effective, and environmentally responsible operation. Members of an important class of advanced diagnostic systems are data-driven and deal with potentially large numbers of variables at any given time by generating diagnostic sequences in lower-dimensional spaces. Despite rapid development in this field, nonlinear process systems remain challenging, and in this investigation, a novel approach to the monitoring of complex systems based on the use of random forest models is proposed. Random forest models consist of ensembles of classification and regression trees in which the model response is determined by voting committees of independent binary decision trees. In this study, a framework for diagnosing steady- and unsteady-state faults with random forests is proposed and demonstrated with simulated and real-world case studies.
Green Purchasing by Wine Retailers: Roles of Individual Values, Competences and Organizational Culture

The wine industry impacts the environment due to its massive scale of production, distribution, and retail. Wine retailers’ green purchasing is essential for changing environmental initiatives because purchasing is a key function for managing an upstream supply chain and to further achieve sustainability throughout the entire supply chain. Thus, this study was designed to identify important drivers of wine retailers’ green purchasing by incorporating both individual factors (values and competences) and organizational culture. Hierarchical linear modeling was employed to analyze the nested data obtained from 457 purchasing managers working for 10 wine retail companies in the United States. Results documented that individual values (social desire and moral attitudes), cognitive competence, and organizational culture such as the ethical behavior of top management, positively and directly influenced wine retailers’ green purchasing behavior. In addition, the study findings revealed that the effects of individual values and cognitive competence on wine retailers’ green purchasing behavior were positively enhanced when organizational culture was formed based on top management’s ethical behavior, codes of conduct and incentives. Implications for developing effective methods for improving wine retailers’ green purchasing behavior are presented and discussed.
Studying the active layer of oligotrophic bogs in the Taiga zone of Western Siberia

In this paper, we identify and describe the active and inert horizons of oligotrophic bogs. These often appear to be a fire risk to oil and gas extraction industries, but these bogs are a complex biological system also. We describe three structural layers for the active horizon. These are the turf layer, the porous layer, the intermediate layer. We have investigated the morphological characteristics of these layers. For each layer, we gave the measurement of physical parameters – pH, general mineralisation, conductivity, coefficient of ash and moisture. In each selected layer we study microbiological parameters – microbial biomass, the carbon of microbial biomass, basal respiration and microbial metabolic quotient. Microbiological studies have established the boundary between the aerobic and anaerobic conditions in active layer of oligotrophic bogs. In each layer, we have established the biochemical characteristics of layers studying enzymes catalase and invertase. The obtained data make it possible to assess the functional processes in the active horizon of the wetland’s ecosystem.
Molecular dynamics study of diffusion in bidisperse polymer melts

Molecular dynamics simulations of the diffusion coefficient of systems of polydisperse chains are presented. Each system consists of two lengths of chain of chemically identical flexible polymers. The mean square displacement of the center of mass of each species is measured as a function its length and volume fraction in the blend. The polymer lengths range from N=10 monomers per chain to N=90, about three times the entanglement length. The polymer species that comprises the bulk of the melt shows little change in behavior regardless of the length of polymer which makes up the remainder. By contrast, when a species is the minority component, its motion is significantly affected by the length of the matrix chains. When a chain is immersed in a matrix of longer chains, its diffusion coefficient is smaller than its monodisperse value; conversely when a chain is in a blend of shorter chain its diffusion coefficient increases compared to a monodisperse melt. For chains shorter than the entanglement length, the diffusion coefficient compares well to theoretical predictions. The scaling exponent of the mean square displacement of the longest polymer is found to be sublinear, unless blended with very short polymers. The scaling exponent seems to be a measurement of the entanglements that the long polymers experience.
Infección secundaria por Leucobacter chromiiresistens en un perro con schwannoma axillar malingo tipo III

The present report describes a schwannoma type III found in a 12-year-old male SharPei dog, this neoplasm was excised and analyzed using histopathological and immunohistochemistry examinations. This schwannoma was classified as high malignancy and presented metastasis to the axillary node. A secondary bacterial septicemia was identified with routine and molecular techniques. The Inmunohistochemical diagnosis of the mass, corroborated the presumptive diagnosis, which suggested a Schwannoma as well as its malignancy degree. In addition, Leucobacter chromiiresistens was isolated, a specie of which to date there are no reports as a pathogen in animals or humans.
Southeastern Rear Edge Populations of Quercus suber L. Showed Two Alternative Strategies to Cope with Water Stress

Climate change models predict an increase in aridity, especially in the regions under Mediterranean-type climates such as the Mediterranean Basin. However, there is a lack of ecophysiological studies supporting the selection of the more drought-adapted ecotypes for reforestation programs. In this study, we analyzed the anatomical and functional adaptations of 18-month-old seedlings to drought on 16 Quercus suber L. populations from the southeastern rear edge of the species distribution in northern Tunisia growing in a common garden, in order to identify the most appropriate material to use in reforestations. The results evidenced that populations from more xeric habitats displayed the highest leaf dry mass per area (LMA) and lowest leaf area (LA) values, together with the largest increase in the bulk modulus of elasticity (Δε) in response to drought (i.e., elastic adjustment). On the other hand, some populations with intermediate values of aridity, LMA and LA displayed the sharpest increase in proline concentration (ΔPro), with a concomitant increase in osmotic potential at full turgor (Δπo) (i.e., osmotic adjustment). Therefore, two different strategies seem to drive the within-species variation of the studied Q. suber populations in response to water scarcity: (i) a water saver strategy for improving water stress tolerance through the maximization of the elastic adjustment; and (ii) a water spender strategy for maintaining water absorption and photosynthetic activity under moderate water stress through the maximization of the osmotic adjustment. We concluded that the higher elastic adjustment, together with reduced LA and increased LMA, implied a better performance under drought stress in the populations of Q. suber from more xeric habitats, which can be considered the most drought-adapted ecotypes and, consequently, the most appropriate for reforestation programs under an eventual increase in aridity.
Organo-Directed Synthesis of Manganese Vanadates with Variable Stoichiometry and Dimensionality: 1-D [(Hen)2Mn(VO3)4], 2-D [H2en]2[Mn(VO3)6], and 3-D [H2en][MnF(VO3)3]

View of the open framework of the [H2en][MnF(VO3)3] one of a new family of organically templated manganese vanadates synthesized under mild conditions. The compound shown here has novel hexavanadate rings connecting manganese fluoride pillars and forming microchannels which contain the organic counterions.
State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)

In the near future, the Internet of Vehicles (IoV) is foreseen to become an inviolable part of smart cities. The integration of vehicular ad hoc networks (VANETs) into the IoV is being driven by the advent of the Internet of Things (IoT) and high-speed communication. However, both the technological and non-technical elements of IoV need to be standardized prior to deployment on the road. This study focuses on trust management (TM) in the IoV/VANETs/ITS (intelligent transport system). Trust has always been important in vehicular networks to ensure safety. A variety of techniques for TM and evaluation have been proposed over the years, yet few comprehensive studies that lay the foundation for the development of a “standard” for TM in IoV have been reported. The motivation behind this study is to examine all the TM models available for vehicular networks to bring together all the techniques from previous studies in this review. The study was carried out using a systematic method in which 31 papers out of 256 research publications were screened. An in-depth analysis of all the TM models was conducted and the strengths and weaknesses of each are highlighted. Considering that solutions based on AI are necessary to meet the requirements of a smart city, our second objective is to analyze the implications of incorporating an AI method based on “context awareness” in a vehicular network. It is evident from mobile ad hoc networks (MANETs) that there is potential for context awareness in ad hoc networks. The findings are expected to contribute significantly to the future formulation of IoVITS standards. In addition, gray areas and open questions for new research dimensions are highlighted.
Exact Soliton Solutions for Nonlinear Perturbed Schrödinger Equations with Nonlinear Optical Media

The nonlinear perturbed Schrödinger equations (NPSEs) with nonlinear terms as Kerr law, power law, quadratic-cubic law, and dual-power law nonlinearity media play an important role in optical fibers. In this article we implement the rational solitary wave method to study the NPSEs when nonlinear terms take some different forms. Additionally, we use the q-deformed hyperbolic function and q-deformed trigonometric function methods to study the exact solutions to NPSEs. Different kind of soliton solutions are obtained such as bright, dark, and singular periodic solutions to the NPSEs.
THE NEW RADIOCARBON DATASET FOR TRILITH MONUMENTS OF SOUTHEASTERN ARABIA

ABSTRACT Triliths are megalithic monuments scattered across the coastal plains of southern and southeastern Arabia. They consist of aligned standing stones with a parallel row of large hearths and form a space, the meaning of which is undoubtedly significant but nonetheless still unknown. This paper presents a new radiocarbon (14C) dataset acquired during the two field seasons 2018–2019 of the TSMO (Trilith Stone Monuments of Oman) project which investigated the spatial and temporal patterns of the triliths. The excavation and sampling of trilith hearths across Oman yielded a dataset of 30 new 14C dates, extending the use of trilith monuments to as early as the Iron Age III period (600–300 BC). The earlier dates are linked to two-phase trilith sites in south-central Oman. The three 14C pairs collected from the two-phase trilith sites indicated gaps between the trilith construction phases from 35 to 475 years (2 σ). The preliminary spatio-temporal analysis shows the geographical expansion of populations using trilith monuments during the 5th to 1st century BC and a later pull back in the 1st and 2nd century AD. The new 14C dataset for trilith sites will help towards a better understanding of Iron Age communities in southeastern Arabia.
In Silico Identification and In Vitro Validation of Repurposed Compounds Targeting the RSV Polymerase

Respiratory Syncytial Virus (RSV) is the top cause of infant hospitalization globally, with no effective treatments available. Researchers have sought small molecules to target the RNA-dependent RNA Polymerase (RdRP) of RSV, which is essential for replication and transcription. Based on the cryo-EM structure of the RSV polymerase, in silico computational analysis including molecular docking and the protein-ligand simulation of a database, including 6554 molecules, is currently undergoing phases 1–4 of clinical trials and has resulted in the top ten repurposed compound candidates against the RSV polymerase, including Micafungin, Totrombopag, and Verubecestat. We performed the same procedure to evaluate 18 small molecules from previous studies and chose the top four compounds for comparison. Among the top identified repurposed compounds, Micafungin, an antifungal medication, showed significant inhibition and binding affinity improvements over current inhibitors such as ALS-8112 and Ribavirin. We also validated Micafungin’s inhibition of the RSV RdRP using an in vitro transcription assay. These findings contribute to RSV drug development and hold promise for broad-spectrum antivirals targeting the non-segmented negative-sense (NNS) RNA viral polymerases, including those of rabies (RABV) and Ebola (EBOV).
STUDY ON PERMEATION OF ACETONE/NITROGEN MIXED GAS THROUGH AL2O3 MICROPOROUS MEMBRANES: MOLECULAR DYNAMICS

In this work, by applying Materials Studio 2.2 software package, molecular dynamics (MD) was performed to investigate the dynamic processes of 1:4 acetone/nitrogen mixed gas permeating through different Al2O3 microporous membranes. Three systems were modeled by considering different box lengths, microporous sizes, and textures of Al2O3 membranes to compare different permeation behaviors. In each system, initial mixed gas contained 20 acetone molecules and 80 nitrogen molecules, and its density was set to 0.1 g/cm3. Analysis on the concentration profiles of nitrogen molecules (N2) and acetone molecules (Ace) in each system at different sampling times was implemented to discuss the permeation behaviors of smaller N2 and larger Ace. The results showed that adsorption and diffusion occurred synchronously but adsorption was dominant for acetone molecules and that the adsorption on the floor surface of the feed gas region more easily reached equilibrium (local equilibrium) than the diffusion and the adsorption on the ceiling of the initially vacuum region. Furthermore, for nitrogen, adsorption followed diffusion. Higher temperature is in favor of the enrichment of acetone on the floor surface of the feed gas region but against the adsorption of nitrogen. The adsorptive layer was found to be a double-layer with COMPASS force field and to be a monolayer with PCFF force field.