Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer loyalty of Indonesia e-commerce SMEs: The role of social media marketing and customer satisfaction

The purpose of this study is to analyze the influence of social media marketing on e-commerce customer satisfaction and loyalty. This study provides insight into the importance of consumer loyalty in the e-commerce industry. The approach used in this study uses quantitative methods through surveys. This study uses a sample of 222 respondents of e-commerce customers. The study uses an online questionnaire through Google Docs. The questionnaire given contains structured questions that are limited by screening, profiling questions and questions related to research variables that affect e-commerce consumer loyalty. The distribution of the questionnaires was carried out by posting on social media groups and direct messages to respondents in accordance with the research requirements. Data analysis of this research, using SEM model using SmartPLS 3.0 software. The results of this study indicate that social media marketing had a significant effect on e-commerce consumer satisfaction, social media marketing had a significant effect on e-commerce consumer loyalty and satisfaction had a significant effect on e-commerce consumer loyalty.
Cold Air Outbreaks in Fram Strait: Climatology, Trends, and Observations During an Extreme Season in 2020

Fram Strait in the northern North Atlantic is a key region for marine cold air outbreaks (MCAOs), southward discharges of polar air under northerly air flow, which have a strong impact on air‐sea heat fluxes, boundary layer processes and severe weather. This study investigates climatologies and decadal trends of Fram Strait MCAOs of different intensity classes based on the ERA5 reanalysis product for 1979–2020. Among striking interannual variability, it is shown that the main MCAO season is December through March, when MCAOs occur around 2/3 of the time. We report on significant decadal MCAO decreases in December and January, and a significant increase in March. While the mid‐winter decrease is mainly related to the different paces of warming between the surface and the lower atmosphere, the increase in March can be related to changes in synoptic circulation patterns. As an explanation for the latter, a possible feedback between retreating Barents Sea sea ice, enhanced cyclonic activity and Fram Strait MCAOs is postulated. Exemplifying the trend toward stronger MCAOs during March, the study details the recordbreaking MCAO season in early 2020, and an observational case study of an extreme MCAO event in March 2020 is conducted. Thereby, radiosonde observations are combined with kinematic air back‐trajectories to provide rare observational evidence for the diabatic cooling and drying during the MCAO preconditioning phase.
The Impact of Higher Levels of Automation on Performance and Situation Awareness

Systems that supported operators with higher levels of information-analysis and decision-selection automation had varying effects on human performance and situation awareness. We investigated whether information-processing and working-memory abilities moderate the effects of automation on human performance and situation awareness. To investigate such effects, we measured the information-processing ability and working-memory capacity of 60 participants. We also assessed their performance and situation awareness when they repeatedly controlled simulated air traffic with the support of different levels of information-analysis and decision-selection automation. Results indicated that performance increased, but situation awareness declined, when the levels of automation increased. The participants with better information-processing ability and working-memory capacity scored better in performance and situation awareness. The participants with higher information-processing ability and working-memory capacity profited from the higher levels of automation. In contrast, the participants with lower information-processing ability and working-memory capacity suffered under higher levels of automation. Authors of future research should thus consider individual differences when investigating the effects of automation and focus on identifying mechanisms that ensure that automation supports all operators.
Nesting success of Sharpe’s Longclaw (Macronyx sharpei Jackson, 1904) around the grasslands of lake Ol’bolossat Nyandarua, Kenya

Sharpe’s Longclaw Macronyx sharpei is an endangered Kenyan endemic bird restricted to high-altitude grasslands with long tussocks. The species occurs on the grasslands surrounding Lake Ol’Bolossat in Nyandarua, Kenya, an area that is globally recognized as an Important Bird and Biodiversity Area. The grasslands receive little conservation measures, which have led to the decline in the population density of Sharpe’s Longclaw. Nesting success in birds is crucial for their population growth. The daily survival rate for natural nests of Sharpe’s Longclaw in the grasslands of Lake Ol’Bolossat had not been systematically assessed prior to this study. Natural nests were actively searched during the breeding seasons of March–May 2016, while artificial nests were constructed using dry grass containing artificial eggs made of cream modeling clay. Natural nests had a higher daily nest survival percentage than artificial nests. The highest daily nest survival rate was 40% and the lowest 0.01%. Predators, livestock grazing and fires greatly reduced the survival of nestlings. We recommend intensive ecological management of the high-altitude grasslands of Lake Ol’Bolossat.
Preliminary effects on the political accountability of the new accounting system for Italian local authorities

The issue of accountability, particularly with regard to the use of public resources, represents one of the most significant and necessary aspects faced by a public administration. This work, therefore, focuses on the transparency of information with regard to the economic viability of a public administration, paying specific attention to the local and regional authorities which have been subject to major reforms in accounting systems. Harmonised accounting is the term given to the complex and multifaceted process of reforming public accounting, as provided by Italian Law No. 196, Article 2, December 31, 2009, and is aimed at unifying, comparing and aggregating the public administration financial statement, carrying out the operations with the same methods and accounting policies, and seeking to satisfy the necessity for information and accountability relating to the coordination of public finances. Several studies have analyzed the effects of accounting reforms on accountability. However, there is still a lack of studies addressing the effects of the Italian accounting reform on accountability in Italian local authorities. This article contributes to research in this area by examining the question of whether, in the first 18 months since the Italian reform’s introduction, accountability has become more or less apparent between the local politicians who use the financial reports both as a method for checking public finances and in order to help inform their own decision-making. Through two case studies, this work analyses the perceptions of local politicians with respect to the level of accountability displayed as part of the accounting reform.
CRITICAL STATE FRAMEWORK FOR INTERPRETATION OF GEOTECHNICAL PROPERTIES OF CEMENT TREATED SOILS

One of the most pressing needs for research in the geotechnical area is on the issue of the use of marginal soils (e.g. silts, soft rock, etc.) for fills and as backfill material for walls and bridge abutments. The lack of availability of higher quality materials and the added costs for these materials will eventually force engineers to use marginal soils when in the past these marginal soils were replaced with materials of better quality. Often however, high water content and low workability of these soils pose difficulties for construction projects. Frequently, additives such as lime, cement, fly ash, lime-cement-fly ash admixture, cement kiln dust, emulsified asphalt, Geofiber, and polymer stabilizers are used to improve their engineering properties. The choice and effectiveness of an additive depends on the type of soil and its field conditions. Nevertheless knowledge of mechanistic behavior of treated soil is equally important as selecting the stabilizer. This study first presents a critical examination of the use of various additives on soil improvement projects. It then presents a comprehensive examination of the effectiveness of cement treatment on geotechnical properties of soils from Aberdeen, Everett, and Palouse regions from the state of Washington. The addition of cement was found to improve the drying rate, workability and compaction characteristics of the soils. Significant improvement in unconfined compressive strength and modulus of elasticity are attained by cement treatment of these soils. Results of undrained triaxial tests showed that while cement treatment improved shear strength significantly, the type of failure behavior varied greatly. Non-treated, 5%, and 10% cement treated soils displayed ductile, planar, and splitting type of failure, respectively. For 10% cement treated soils pore pressures rose rapidly to confining pressures resulting in zero effective confining pressure at failure. Consequently, specimens split vertically. Therefore, while increase in strength can be achieved by cement treatment, high percentages of cement should be used with extreme caution in field applications. The results of triaxial tests on Aberdeen soil were interpreted using the critical state framework. As a result of cement treatment interlocking increased, critical state friction remained constant and soils displayed anisotropic behavior. The anisotropic model presented by Muhunthan and Masad (1997) was used to predict the undrained stress path. A combination of this model with extended Griffith theory can be used to predict the complete shear behavior of cement treated soil in q-p΄ space. The main contributions of this study to practice are on quantifying improvement in mechanical behavior due to cement treatment and highlighting the fact that higher percentages of cement could turn stabilization from beneficial to an extremely dangerous practice.
Latin American Agri-Food Exports, 1994–2019: A Gravity Model Approach

This study analyses the causes of the strong growth in the agri-food exports of Latin America between 1994 and 2019. To do this, a series of gravity models are estimated, using as a dependent variable the agri-food exports of 15 Latin American countries to their 185 principal trading partners. The empirical specification is based on the gravity theory of trade, according to which, trade between two countries is determined by the size of both of their markets and their transport costs. Other variables have also been included, considering the theoretical foundations proposed for the gravity model. We initially used the PPML estimator since it is the method that provides estimates with the best properties. We later compared these results with those obtained through OLS and the Heckman selection model. Our findings show that the growth in agri-food exports is explained by factors of both supply and demand, but that the latter plays a more important role since we have obtained evidence of a reverse home-market effect. Furthermore, we can conclude that the creation of regional trade agreements, such as NAFTA, MERCOSUR, CACM, APEC, and TPP, has significantly favoured agri-food exports in the region.
Chronic Systemic Dexamethasone Regulates the Mineralocorticoid/Glucocorticoid Pathways Balance in Rat Ocular Tissues

Central serous chorioretinopathy (CSCR) is a retinal disease affecting the retinal pigment epithelium (RPE) and the choroid. This is a recognized side-effect of glucocorticoids (GCs), administered through nasal, articular, oral and dermal routes. However, CSCR does not occur after intraocular GCs administration, suggesting that a hypothalamic-pituitary-adrenal axis (HPA) brake could play a role in the mechanistic link between CSCR and GS. The aim of this study was to explore this hypothesis. To induce HPA brake, Lewis rats received a systemic injection of dexamethasone daily for five days. Control rats received saline injections. Baseline levels of corticosterone were measured by Elisa at baseline and at 5 days in the serum and the ocular media and dexamethasone levels were measured at 5 days in the serum and ocular media. The expression of genes encoding glucocorticoid receptor (GR), mineralocorticoid receptors (MR), and the 11 beta hydroxysteroid dehydrogenase (HSD) enzymes 1 and 2 were quantified in the neural retina and in RPE/ choroid. The expression of MR target genes was quantified in the retina (Scnn1A (encoding ENac-α, Kir4.1 and Aqp4) and in the RPE/choroid (Shroom 2, Ngal, Mmp9 and Omg, Ptx3, Plaur and Fosl-1). Only 10% of the corticosterone serum concentration was measured in the ocular media. Corticosterone levels in the serum and in the ocular media dropped after 5 days of dexamethasone systemic treatment, reflecting HPA axis brake. Whilst both GR and MR were downregulated in the retina without MR/GR imbalance, in the RPE/choroid, both MR/GR and 11β-hsd2/11β-hsd1 ratio increased, indicating MR pathway activation. MR-target genes were upregulated in the RPE/ choroid but not in the retina. The psychological stress induced by the repeated injection of saline also induced HPA axis brake with a trend towards MR pathway activation in RPE/ choroid. HPA axis brake causes an imbalance of corticoid receptors expression in the RPE/choroid towards overactivation of MR pathway, which could favor the occurrence of CSCR.
Through-Flow Analysis of Air-Cooled Gas Turbines

This paper describes the development of a new through-flow method for the analysis of axial multistage turbines with cooling by air from compressor bleed. The method is based on a stream function approach and a finite element solution procedure. It includes a high-fidelity loss and deviation model with improved correlations. A radial distribution model of losses and a new spanwise mixing model are applied to simulate 3D flow effects.The calibration of the models is performed by calculation of a number of test cases with different configurations, with the aim of achieving high accuracy and optimum robustness for each of the test cases considered.Various types of cooling air injection were encompassed: film cooling, trailing edge injection and disc/endwall coolant flow. There are two effects of air cooling: (i) increase in mass flow downstream of the injection surface and (ii) reduction of the gas total temperature connected with total pressure losses. For both of these effects, the appropriate 2D models were developed and applied.The code was applied to flow analysis and performance prediction of a newly developed industrial gas turbine. Comparison of the predicted results and measured test data for a number of parameters showed good agreement. The results of the validation confirmed that this method based on calibrated correlations can be considered a reliable tool for flow analysis and parameter variation during the design phase.Copyright © 2012 by ASME
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease

Alzheimer’s disease (AD) does not present uniform symptoms or a uniform rate of progression in all cases. The classification of subtypes can be based on clinical symptoms or patterns of pathological brain alterations. Imaging techniques may allow for the identification of AD subtypes and their differentiation from other neurodegenerative diseases already at an early stage. In this review, the strengths and weaknesses of current clinical imaging methods are described. These include positron emission tomography (PET) to image cerebral glucose metabolism and pathological amyloid or tau deposits. Magnetic resonance imaging (MRI) is more widely available than PET. It provides information on structural or functional changes in brain networks and their relation to AD subtypes. Amyloid PET provides a very early marker of AD but does not distinguish between AD subtypes. Regional patterns of pathology related to AD subtypes are observed with tau and glucose PET, and eventually as atrophy patterns on MRI. Structural and functional network changes occur early in AD but have not yet provided diagnostic specificity.
Ursolic Acid Suppresses Oncostatin M Expression through Blockade of PI3K/Akt/NF-κB Signaling Processes in Neutrophil-like Differentiated HL-60 Cells

Cytokine oncostatin M (OSM) plays an important role in a variety of inflammatory reactions and is mainly produced in neutrophils in inflammatory diseases. While natural pentacyclic triterpenoid ursolic acid (UA) possesses a wide range of beneficial effects, such as anti-oxidant, anti-tumor, and anti-inflammatory, the regulatory processes of OSM suppression by UA in neutrophils are still poorly understood. This study was aimed at examining how UA regulates OSM expression in neutrophil-like differentiated (d)HL-60 cells. Enzyme-linked immunosorbent assay, quantitative polymerase chain reaction, and immunoblotting were employed to analyze the effects of UA. Whereas stimulation with granulocyte-macrophage colony-stimulating factor (GM-CSF) led to elevations of OSM production and mRNA expression, these elevations were lowered by treatment with UA in neutrophil-like dHL-60 cells. When the cells were exposed to GM-CSF, phosphorylated levels of phosphatidylinositol 3-kinase, Akt, and nuclear factor-kB were upregulated. However, the upregulations were diminished by treatment with UA in neutrophil-like dHL-60 cells. The results of this study proposed that UA might relieve inflammatory diseases via inhibition of OSM.
Global Precedent-Based Extrapolation Estimate of the M8+ Earthquake Hazard (According to USGS Data as of 1 June 2021)

The paper describes the algorithm and the results of the seismic hazard estimate based on the data of the seismological catalog of the US Geological Survey (USGS). The prediction algorithm is based on the search for clusters of seismic activity in which current activity trends correspond to foreshock sequences recorded before strong earthquakes (precedents) that have already occurred. The time of potential hazard of a similar earthquake is calculated by extrapolating the detected trends to the level of activity that took place at the time of the precedent earthquake. It is shown that the lead time of such a forecast reaches 10–15 years, and its implementation is due to the preservation and stability of the identified trends. The adjustment of the hazard assessment algorithm was carried out in retrospect for seven earthquakes (M8+) that had predictability in foreshock preparation. The evolution of the potential seismic hazard from 1 January 2020 to 1 June 2021 has been traced. It is concluded that precedent-based extrapolation assessments have prospects as a tool designed for the early detection and monitoring of potentially hazardous seismic activity.
Optimized Generation and Absorption for Three-Dimensional Numerical Wave and Current Facilities

AbstractThis article presents an optimized setup for a numerical wave/current facility that allows for fast and efficient generation and absorption of random directional waves, in the presence of uniform noncollinear ambient currents. In this study, the generation of waves was optimized, in terms of computational effort, by replacing the built-in sine and cosine functions with a Taylor series approximation. The mesh in the absorption zone was also optimized with the use of a mesh grading that resulted in larger cells toward the outflow boundary. Results show that the numerical cost is reduced by 70% for the wave generation and by 90% for wave absorption. Results compare very well for wave generation with and without currents with respect to regular wave/current and random wave theories. Wave reflection was generally less than 1% for linear waves, less than 4% for nonlinear waves, and less than 5% for random waves.
Trait Energy and Fatigue May Be Connected to Gut Bacteria among Young Physically Active Adults: An Exploratory Study

Recent scientific evidence suggests that traits energy and fatigue are two unique unipolar moods with distinct mental and physical components. This exploratory study investigated the correlation between mental energy (ME), mental fatigue (MF), physical energy (PE), physical fatigue (PF), and the gut microbiome. The four moods were assessed by survey, and the gut microbiome and metabolome were determined from 16 S rRNA analysis and untargeted metabolomics analysis, respectively. Twenty subjects who were 31 ± 5 y, physically active, and not obese (26.4 ± 4.4 kg/m2) participated. Bacteroidetes (45%), the most prominent phyla, was only negatively correlated with PF. The second most predominant and butyrate-producing phyla, Firmicutes (43%), had members that correlated with each trait. However, the bacteria Anaerostipes was positively correlated with ME (0.048, p = 0.032) and negatively with MF (−0.532, p = 0.016) and PF (−0.448, p = 0.048), respectively. Diet influences the gut microbiota composition, and only one food group, processed meat, was correlated with the four moods—positively with MF (0.538, p = 0.014) and PF (0.513, p = 0.021) and negatively with ME (−0.790, p < 0.001) and PE (−0.478, p = 0.021). Only the Firmicutes genus Holdemania was correlated with processed meat (r = 0.488, p = 0.029). Distinct metabolic profiles were observed, yet these profiles were not significantly correlated with the traits. Study findings suggest that energy and fatigue are unique traits that could be defined by distinct bacterial communities not driven by diet. Larger studies are needed to confirm these exploratory findings.
The role of customer e-trust, customer e-service quality and customer e-satisfaction on customer e-loyalty

This study aims to determine the effect of e-service quality on customer e-satisfaction, the effect of e-trust on customer e-satisfaction, the effect of e-service quality on customer e-loyalty, the effect of e-trust on customer e-loyalty and finally, the effect of e-satisfaction on online shop customer e-loyalty. The type of research used in this research is correlational research with a quantitative approach and testing the research hypothesis was carried out by using the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). The sample or respondent used in this study is 432 consumers of online shops in Banten, Indonesia. The results show that E-Service Quality had positive but not significant effect on E-Satisfaction, E-Trust had a positive but not significant effect to E-Satisfaction, E-Service Quality had a positive but not significant effect towards E-Loyalty, E-Trust had a negative but not significant effect to E-Satisfaction and finally E-Satisfaction had a positive but not significant effect on E-Loyalty.