Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF SOCIAL MEDIA MARKETING ON THE PURCHASE DECISION OF KOOKA COFFEE PRODUCTS USING BRAND IMAGE AS A MEDIATION VARIABLE

This research is motivated by the increasingly high competition between coffee shops which encourages coffee shops to have more creative and innovative strategies. Some of the existing coffee shops have done social media marketing, which makes delivering product information easier, has affordable prices and has a broader market reach. Information that is shared through social media needs to be adequately packaged and attractively because it can increase customer satisfaction and brand image, which plays an essential role in the success of coffee shops during increasingly high competition. Kooka Coffee is the pioneer coffee shop that collaborates with clothing convection, producing advantages that other coffee shops do not. Kooka Coffee uses Instagram to share various marketing information that it hopes will increase its brand image in the minds of consumers and can have an impact in improving purchasing decisions. The goal of this study is to identify the most influential indicators on Kooka Coffee consumers' social media marketing, brand image, and purchasing decisions, as well as the effect of social media marketing on Instagram against brand image and purchasing decisions, and the influence of social media marketing on Kooka Coffee Malang consumers' purchasing decisions mediated by brand image. This study used 100 respondents who were determined by the method purposive sampling. Analysis path used to calculate the effect between variables social media marketing with purchasing decision variables directly and indirectly through brand image. The analysis results show that social media marketing has a positive and significant effect on brand image, social media marketing positive and insignificant effect on purchasing decisions, brand image has a positive and significant impact on purchasing decisions, and brand image mediates with influence of social media marketing on buying decisions.
Uses of Ethnomedicinal Plants for the Treatment of Ulcer in Pakistan

The main objective of the study is to summarize the uses of plants by local communities in Pakistan for the treatment of ulcer. In the present review, the data regarding antiulcerogenic plants were collected by searching different online data banks various research publications, PubMed, different books, thesis copies from libraries, and other national organizations. In the current review article, a total of 109 species belonging to 55 families were found to be used against ulcer treatment. Among these Asteraceae was the predominant family containing (11species) followed by Fabaceae (6 species), Asclepiadaceae (5 species), Chenopodiaceae (5 species), Pinaceae (5 species), Brassicaceae (4 species), Polygonaceae (4 species), and, so on. The highest number species used were herbaceous (67.88 %) followed by trees (17.43 %) and shrubs (14.67 %). The majority of the plants reported have significant and useful properties, but certain are cited in several papers that have sparked interest in further pharmacological research. It was occluded that whole plant and anthropogenic activities can make special interest to be exploited sustainably.
Monocyte Phenotypes and Physical Activity in Patients with Carotid Atherosclerosis

Atherosclerosis is associated with low-grade inflammation involving circulating monocytes. It has been shown that the levels of intermediate pro-inflammatory monocytes are associated with cardiovascular mortality and risk of ischemic stroke. It also has been shown that physical activity (PA) decreases inflammation markers, incidence of strokes, and mortality. In this cross-sectional study, we tested the effect of PA on circulating monocytes phenotype rate. A total of 29 patients with a carotid stenosis > 50% were recruited. Levels of physical activity (MET.min/week) were measured by the GPAQ questionnaire, arterial samples of blood were collected to analyze monocyte phenotype (classical, intermediate and non-classical) assessed by flow cytometry, and venous blood samples were used to dose antioxidant activity and oxidative damage. Antioxidant capacity was reduced and oxidative damage increased in patients. There was a significant decrease in the percentage of classical and intermediate monocytes in moderately active patients as compared with non-active and highly active patients. Inversely, the rate of non-classical monocytes increased in moderately active patients. Intense PA appears to blunt the beneficial effects of moderate PA. Our study also suggests that PA could be beneficial in such patients by reducing the rate of intermediate monocytes known to predict the risk of ischemic stroke and by increasing the non-classical monocytes involved in lesions’ healing. Nevertheless, a longitudinal study would be necessary to confirm this hypothesis.
Analyses of Musical Success based on Time, Genre and Collaboration

Music is an alive industry with an increasing volume of complex data that can benefit from Computer Science in different ways. Specifically, Music Information Retrieval is a research field aiming to extract meaningful information from musical content. In this work, we analyze musical success from a genre-oriented perspective. Specifically, we model both artist and genre success timelines to detect and predict continuous periods with higher impact. We also build success-based genre collaboration networks to detect collaboration profiles directly related to success. Furthermore, we mine exceptional genre patterns in the networks where the success deviates from the average. Our findings show that studying genre collaboration is a powerful way to assess musical success by describing similar behaviors within collaborative songs. Overall, our work contributes to both the academy and the music industry, as we shed light on the underlying factors of the science behind musical success.
An Automated Hardware-in-Loop Testbed for Evaluating Hemorrhagic Shock Resuscitation Controllers

Hemorrhage remains a leading cause of death, with early goal-directed fluid resuscitation being a pillar of mortality prevention. While closed-loop resuscitation can potentially benefit this effort, development of these systems is resource-intensive, making it a challenge to compare infusion controllers and respective hardware within a range of physiologically relevant hemorrhage scenarios. Here, we present a hardware-in-loop automated testbed for resuscitation controllers (HATRC) that provides a simple yet robust methodology to evaluate controllers. HATRC is a flow-loop benchtop system comprised of multiple PhysioVessels which mimic pressure-volume responsiveness for different resuscitation infusates. Subject variability and infusate switching were integrated for more complex testing. Further, HATRC can modulate fluidic resistance to mimic arterial resistance changes after vasopressor administration. Finally, all outflow rates are computer-controlled, with rules to dictate hemorrhage, clotting, and urine rates. Using HATRC, we evaluated a decision-table controller at two sampling rates with different hemorrhage scenarios. HATRC allows quantification of twelve performance metrics for each controller configuration and scenario, producing heterogeneous results and highlighting the need for controller evaluation with multiple hemorrhage scenarios. In conclusion, HATRC can be used to evaluate closed-loop controllers through user-defined hemorrhage scenarios while rating their performance. Extensive controller troubleshooting using HATRC can accelerate product development and subsequent translation.
High-order multi-agent consensus with dynamically changing topologies and time-delays

This study is concerned with consensus problems of a class of high-order multi-agent systems with dynamically changing topologies and time-delays. A nearest-neighbour rule is introduced for these high-order discrete-time agents with the consideration of communication time-delays. It is shown that consensus can be reached, even when the communication topologies are dynamically changing and the corresponding communication graphs have no spanning trees. It is also shown that the communication time-delays do not affect the stability of the multi-agent systems. Finally, a numerical example is included to illustrate the obtained results.
A statistical study on the low-frequency quasi-periodic oscillation amplitude spectrum and amplitude in GRS 1915+105

A statistical study was made on both the energy dependence of the low-frequency quasi-periodic oscillation (QPO) amplitude (LFQPO amplitude spectrum) and the LFQPO amplitude from all the RXTE observations of GRS 1915+105. Based on the two-branch correlation of the LFQPO frequency and the hardness ratio, the observations that were suitable for evaluating the LFQPO amplitude spectrum were divided into two groups. According to a comparison between the radio and X-ray emissions, we deduced that the jets during the two groups of observations are very different. A negative correlation between the LFQPO frequency and the radio flux was found for one group. The LFQPO amplitude spectrum was fitted by a power law with an exponential cutoff in order to describe it quantitatively. It reveals that as the LFQPO frequency increases, the power law hardens. Furthermore, the cutoff energy first decreases, and then smoothly levels off. The fit also shows that the LFQPO amplitude spectra of the two groups are essentially the same, suggesting that the LFQPO does not originate from the jet. The LFQPO amplitude spectra are hard, indicating a possible origin of the LFQPO in the corona. As the LFQPO frequency increases, the LFQPO amplitude first increases and then decreases. The effects of the low-pass filter and the jet on the LFQPO amplitude are discussed.
A Self-Powered Vibration Sensor With Wide Bandwidth

A self-powered vibration sensor based on electromagnetic induction is presented in this paper. The vibration sensor is implemented with stacked flexible coils and polymeric springs. The stacked flexible coil enables large output signal, while long and flexible springs enable high sensitivity and wide linear range of the sensor. At resonance, the sensor has a sensitivity of 1.83 V/g and a maximum resolution of 0.002 g. In the high-frequency range, where the sensor output is frequency-independent (100–3000 Hz), the sensor has a sensitivity of 66.5 mV/g, a maximum resolution of 0.05 g, and a measurement range up to 8.5 g.
Design of Multilayer Ring Emitter Based on Metamaterial for Thermophotovoltaic Applications

The objective of this study is to design a broadband and wide-angle emitter based on metamaterials with a cut-off wavelength of 2.1 µm to improve the spectral efficiency of thermophotovoltaic emitters. To obtain broadband emission, we conducted the geometric parameter optimization of the number of stacked layers, the inner and outer radii of the nano-rings, and the thickness of the nano-rings. The numerical simulation results showed that the proposed emitter had an average emissivity of 0.97 within the targeted wavelength, which ranged from 0.2 µm to 2.1 µm. In addition, the presented multilayer nano-ring emitter obtained 79.6% spectral efficiency with an InGaAs band gap of 0.6 eV at 1400 K.
Efficacy of IPM Modules Against Major Insect Pests of Common Bean Phaseolus vulgaris

This experiment evaluated some IPM modules against pests of common bean Phaseolus vulgaris, and observed that the module with soil application of carbofuran 3G @ 32.5 kg/ ha+1st of spray with dimethoate 30EC @ 0.03% (45 days after sowing- DAS) and 2nd with dichlorvos 76SC @ 0.076% (70 DAS) was the most effective. This resulted in maximum reduction of pests (76.85, 75.43, 69.97% of aphid, whitefly and weevil, respectively) and resulted in maximum gross returns (`₹94,068), net returns (``₹64,017) and benefit cost ratio (2.13). Besides, these effect of intercropping of beans with maize revealed a reduced population density of all the major pests, as compared to sole bean crop.
Vacuum-Implemented Removal of Lead Vegetations in Cardiac Device-Related Infective Endocarditis

When approaching infected lead removal in cardiac device-related infective endocarditis (CDRIE), a surgical consideration for large (>20 mm) vegetations is recommended. We report our experience with the removal of large CDRIE vegetations using the AngioVac system, as an alternative to conventional surgery. We retrospectively reviewed all infected lead extractions performed with a prior debulking using the AngioVac system, between October 2016 and April 2022 at our institution. A total of 13 patients presented a mean of 2(1) infected leads after a mean of 5.7(5.7) years from implantation (seven implantable cardioverter-defibrillators, four cardiac resynchronization therapy-defibrillators, and two pacemakers). The AngioVac system was used as a venous–venous bypass in six cases (46.2%), venous–venous ECMO-like circuit (with an oxygenator) in five (38.5%), and venous–arterial ECMO-like circuit in two cases (15.4%). Successful (>70%) aspiration of the vegetations was achieved in 12 patients (92.3%) and an intraoperative complication (cardiac perforation) only occurred in 1 case (7.7%). Subsequent lead extraction was successful in all cases, either manually (38.5%) or using mechanical tools (61.5%). The AngioVac system is a promising effective and safe option for large vegetation debulking in CDRIE. Planning the extracorporeal circuit design may represent the optimal strategy to enhance the tolerability of the procedure and minimize adverse events.
The Anatomy of Viral Advertising: A Content Analysis of Viral Advertising from the Elaboration Likelihood Model Perspective

Abstract This study is a quantitative content analysis of 445 viral video ads shared online between 2009 and 2019. Using the framework of the Elaboration Likelihood Model (ELM) that distinguishes between peripheral and central ad cues, our findings highlight the dominance of peripheral cues over central cues. Viral ads included more emotional than rational appeals and integrated music and sound effects, while the use of substantial arguments was kept to a minimum. The dominance of peripheral cues was also evident across product categories; however, they mainly characterized ads for technology products. Our findings provide more than a mere description of the characteristics of viral ads, but detail the dominant creative elements that viral ads feature, which might infer the effectiveness of specific message elements in driving ad sharing. The theoretical and managerial implications of this study are also discussed.
An Experimental Study on Flame Puffing of a Swirl Partially Premixed Combustion under Varying Mass Flow Rate of Primary Air

It is of practical significance to understand the flame puffing behavior under varying mass flow rate of primary air ṁpri. An experiment was conducted to study the impact of ṁpri on flame puffing in a swirl partially premixed combustor, the puffing behavior of six significant flame properties was examined. The results showed that almost every spectrum had two fundamental frequencies, which is different from the single-peak spectrum of non-swirl flame. The flame heat-release rate, flame area, and flame equivalent width had identical dominant frequency and sub-dominant frequency, both decreased with the increasing of ṁpri. It was attributed to the decreased overall flame temperature caused by the improved mixing of fuel and primary air. All measured frequencies were in the range of 3–14 Hz, but the predicted frequencies from the theoretical models based on non-swirl flame were larger than the measured. This indicates the puffing frequency of swirl flame was much more sensitive to the variation in ṁpri than the frequency of non-swirl flame. Moreover, the amplitude of flame length was the smallest in all properties, with the most weakened oscillating intensity. While the amplitude of the flame area and flame equivalent width were the largest, with the strongest oscillation level. Consequently, the flame puffing is mainly attributed to the oscillation in width direction.
Superiority-Seeking and the Preference for Exclusion

We propose that a person’s desire to consume an object or possess an attribute increases in how much others want but cannot have it. We term this motive imitative superiority-seeking, and show that it generates preferences for exclusion that help explain a host of market anomalies and make novel predictions in a variety of domains. In bilateral exchange, there is a reluctance to trade, leading to an endowment effect. People’s value of consuming a good increases in its scarcity, which generates a motive for firms and organizations to engage in exclusionary policies. A monopolist producing at constant marginal cost can increase profits by randomly excluding buyers relative to the standard optimal mechanism of posting a common price. In the context of auctions, a seller can extract greater revenues by randomly barring a subset of consumers from bidding. Moreover, such non-price-based exclusion leads to higher revenues than the classic optimal sales mechanism. A series of experiments provides direct support for these predictions. In basic exchange, a person’s willingness to pay for a good increases as more people are explicitly barred from the opportunity to acquire it. In auctions, randomly excluding people from the opportunity to bid substantially increases bids amongst those who retain this option. Consistent with our predictions, exclusion leads to bigger gains in expected revenue than increasing competition through inclusion. Our model of superiorityseeking generates ‘Veblen effects,’ rationalizes attitudes against redistribution, and provides a novel motive for social exclusion and discrimination.
Anomalous Reflectivity Oscillation of Layered Manganite La0.5Sr1.5MnO4

We investigate the time-dependent reflectivity of the layered manganite La 0.5 Sr 1.5 MnO 4 at low temperature. We find that the reflectivity oscillates with an anomalously long period, e.g., several tens of hours. The period varies with wavelength and the character of the oscillation depends on the illumination condition. The oscillation is clearly observed below T ∼20 K and almost disappears above this temperature. Furthermore, in the temperature-cycle measurements, the reflectivity oscillation shows a particularly peculiar behavior.
Pro-integration policies and the occupational expectations of immigrant youth

Europe is experiencing heightened public attention toward anti-immigration policy reforms and restrictions. Despite the potential importance of these policy changes, we do not know whether these policies influence how immigrant children perceive their futures in their host countries. Employing secondary data analysis of the Program for International Student Assessment and the Migrant Integration Policy Index data, I show that a decrease in policy support for immigrant integration is associated with a decrease in how good of a job immigrant children expect to have when they are adults. Since students’ occupational expectations influence their eventual status attainment, this article shows that a decrease in pro-integration policies has important implications for the integration of immigrants into their host countries and for their life trajectories.
Oxo-Carotenoids as Efficient Superoxide Radical Scavengers

Oxo-carotenoids containing conjugated carbonyl groups in their chains were designed to be more efficient superoxide radical scavengers than natural carotenoids, β-carotene and canthaxanthin. A practical chain-extension method for polyene dials (e.g., crocetin dial) was also proposed based on Horner–Wadsworth–Emmons olefination. Double aldol condensation between polyene dials and acetophenones with ring substituents produced oxo-carotenoids with substituted benzene rings. The antioxidant activity of oxo-carotenoids was measured using DPPH (radical) and ABTS (cationic radical) scavenging assays and compared with the analysis with the superoxide (anionic radical) probe. An effective conjugation length by carbon–carbon double bonds is important to provide superior antioxidant activity for oxo-carotenoids, regardless of the type of radical probe used in the assay. Increasing electron density is favorable to strong antioxidant activity in DPPH, and the phenol group is favored in ABTS, whereas electron deficient oxo-carotenoids are very potent in the superoxide radical assay. All oxo-carotenoids exhibited 105~151% better superoxide radical scavenging activity compared to beta-carotene (100%), whereas 38~155% in DPPH and 16~96% in ABTS radical scavenging activities were observed.
The Legacy of Redlining: A Spatial Dynamics Perspective

This paper investigates the long-term impacts of the federal Home Owners’ Loan Corporation (HOLC) mortgage risk assessment maps on the spatial dynamics of recent income and racial distributions in California metropolitan areas over the 1990-2010 period. We combine historical HOLC boundaries with modern Census tract data and apply recently developed methods of spatial distribution dynamics to examine if legacy impacts are reflected in recent urban dynamics. Cities with HOLC assessments are found to have higher levels of isolation segregation than the non-HOLC group, but no difference in unevenness segregation between the two groups of cities are found. We find no difference in income or racial and ethnic distributional dynamics between the two groups of cities over the period. At the intra-urban scale, we find that the intersectionality of residing in a C or D graded tract that is also a low-income tract falls predominately upon the minority populations in these eight HOLC cities. Our findings indicate that neighborhoods with poor housing markets and high minority concentrations rarely experience a dramatic change in either their racial and ethnic or socioeconomic compositions—and that negative externalities (e.g. lower home prices and greater segregation levels) emanate from these neighborhoods, with inertia spilling over into nearby zones.
Particle filter-based delamination shape prediction in composites subjected to fatigue loading

Modeling generic size features of delamination, such as area or length, has long been considered in the literature for damage prognosis in composites through specific models describing damage state evolution with load cycles or time. However, the delamination shape has never been considered, despite that it holds important information for damage diagnosis and prognosis, including the delamination area, its center, and perimeter, useful for structural safety evaluation. In this context, this paper develops a novel particle filter (PF)-based framework for delamination shape prediction. To this end, the delamination image is discretized by a mesh, where control points are defined as intersections between the grid lines and the perimeter of the delamination. A parametric data-driven function maps each point position as a function of the load cycles and is initially fitted on a sample test. Then, a PF is independently implemented for each node whereby to predict their future positions along the mesh lines, thus allowing delamination shape progression estimates. The new framework is demonstrated with reference to experimental tests of fatigue delamination growth in composite panels with ultrasonics C-scan monitoring.