Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical investigation of the time-fractional Black-Scholes equation with barrier choice of regulating European option

The price variance of the associated fractal transmission mechanism was used to estimate the Black-Scholes fractional model of which a time-fractional derivative is $alpha$. In the current paper, the time-fractional Black-Scholes equation (TFBSE) that the temporal derivative is the Caputo fractional derivative is known by regulating the European option. At first, linear interpolation with a temporally $tau^{2-alpha}$ order accuracy is used for constructing the semi-discrete. Then, the spatial derivative terms are approximated with the help of the collocation approach centered on the Chebyshev polynomials of the third form (CPTF). Finally, The unconditional stability and convergence order are analyzed by applying the energy method. To show the precision of the numerical system, we solved two instances of the TFBSE. Numerical results and comparisons indicate the proposed approach is very reliable and efficient.
Robust adaptive control of uncertain nonlinear systems with unmodeled dynamics using command filter

This article proposes a robust adaptive controller design method for strict feedback nonlinear systems with unmodeled dynamics and input saturation. By using command filters, the explosion of complexity is obviated. The influence of filter errors bought in by command filters is eliminated by introducing compensating signals. Moreover, by skillfully constructing an nth‐order auxiliary dynamic system, the effect of input saturation is avoided, where the disadvantages of conventional methods based on the hyperbolic tangent function are overcome. To tackle the effect of unmodeled dynamics which can destroy the performance and even destabilize the system, based on input‐to‐state stability theory, a dynamic signal is designed. Finally, the Lyapunov theory‐based stability analysis proves that all the closed‐loop signals are uniformly ultimately bounded. The effectiveness of the proposed controller design scheme is verified in simulation experiments.
Tetraaqua[2,6-diacetylpyridine bis(semicarbazone)]samarium(III) trinitrate

The structure of tetraaqua[2,6-diacetylpyridine bis(semicarbazone)]samarium(III) trinitrate, [Sm(C11H15N7O2)(H2O)4](NO3)3, has monoclinic (P21/c) symmetry. The 2,6-diacetylpyridine (DAPSC) ligand is pentadentate. The coordination of the DAPSC ligand and four coordinated water molecules around the metal cation is best described as a distorted tricapped trigonal prism. The structure displays intermolecular hydrogen bonding. The structure is isomorphous with many other published lanthanide(III) nitrate salts with the DAPSC ligand, 2,6-diacetylpyridinebis(semicarbazone). One of the three nitrate counter-anions is disordered, which is consistent with the structures of other +3 lanthanide nitrate salts with DAPSC. Refinement of occupancies for the disordered nitrate group gave major and minor occupancies of 54.9 (14) and 45.1 (14)%, respectively.
SDSS J114818.18-013823.7: Forming Compact Dwarf Galaxy through the Dwarf-Dwarf Merger

We studied the spectroscopic properties of the low redshift (z = 0.0130) interacting dwarf galaxy SDSS J114818.18-013823.7. It is a compact galaxy of half-light radius 521 parsec. It’s r-band absolute magnitude is -16.71 mag. Using a publicly available optical spectrum from the Sloan Sky Survey data archive, we calculated star-formation rate, emission line metallicity, and dust extinction of the galaxy. Star formation rate (SFR) due to Hα is found to be 0.118 Mʘ year-1 after extinction correction. The emission-line metallicity, 12+log(O/H), is 8.13 dex. Placing these values in the scaling relation of normal galaxies, we find that SDSS J114818.18-013823.7 is a significant outlier from both size-magnitude relation and SFR-B-band absolute relation. Although SDSS J114818.18-013823.7 possess enhance rate of star-formation, the current star-formation activity can persist several Giga years in the future at the current place and it remains compact.
Chatbot service usage during a pandemic: fear and social distancing

ABSTRACT Health organizations have relied heavily on social distancing to limit the spread of the COVID-19 pandemic. The purpose of this research is to examine what factors can influence customers’ evaluations of social distancing as well as how and when these evaluations drive their usage of chatbot services. Using structural equation modeling to analyze the experimental data from 200 U.S. consumers, we found that when the service situation is utilitarian (hedonic) in nature, customers’ contamination fear influences their chatbot usage during service encounters through their social distancing attitudes (subjective norms) and then perceived usefulness of chatbots. Our findings provide meaningful theoretical contributions and practical implications.
Labor productivity response of the micro-and-small-firm sector to business entries and exits

ABSTRACT This article investigates whether differences in business entry and exit rates explain differences in average, municipality-level labor productivity in the micro- and small-firm (MSF) sector. We focus on the case of Chile, exploiting an exogenous source of variation to exit rates—an exceptional event when the tax authority closed tens of thousands of ostensibly inactive firms in 2003—to instrument metrics of business dynamism in regression models of labor productivity. Pooled and panel instrumental variable (IV) estimations confirm that even the sector comprising the smallest firms in a less developed country can raise its productivity in the face of increased competition, knowledge inflows, and the release of resources.
Hierarchical Meta-Storms enables comprehensive and rapid comparison of microbiome functional profiles on a large scale using hierarchical dissimilarity metrics and parallel computing

ABSTRACT Functional beta-diversity analysis on numerous microbiomes interprets the linkages between metabolic functions and their meta-data. To evaluate the microbiome beta-diversity, widely used distance metrices only count overlapped gene families but omit their inherent relationships, resulting in erroneous distances due to the sparsity of high-dimensional function profiles. Here we propose Hierarchical Meta-Storms (HMS) to tackle such problem. HMS contains two core components: (i) a dissimilarity algorithm that comprehensively measures functional distances among microbiomes using multi-level metabolic hierarchy and (ii) a fast Principal Co-ordinates Analysis (PCoA) implementation that deduces the beta-diversity pattern optimized by parallel computing. Results showed HMS can detect the variations of microbial functions in upper-level metabolic pathways, however, always missed by other methods. In addition, HMS accomplished the pairwise distance matrix and PCoA for 20 000 microbiomes in 3.9 h on a single computing node, which was 23 times faster and 80% less RAM consumption compared to existing methods, enabling the in-depth data mining among microbiomes on a high resolution. HMS takes microbiome functional profiles as input, produces their pairwise distance matrix and PCoA coordinates. Availability and implementation It is coded in C/C++ with parallel computing and released in two alternative forms: a standalone software (https://github.com/qdu-bioinfo/hierarchical-meta-storms) and an equivalent R package (https://github.com/qdu-bioinfo/hrms). Supplementary information Supplementary data are available at Bioinformatics Advances online.
Webrooming or showrooming, that is the question: explaining omnichannel behavioural intention through the technology acceptance model and exploratory behaviour

PurposeThis paper evaluates how the intention to develop webrooming or showrooming behaviour is affected by both the perceived usefulness and the perceived ease-of-use, as well as by the consumer's personal predisposition to exploratory information seeking and acquisition.Design/methodology/approachThe fashion retailing environment is more omni-channel than ever before. The two predominant omni-channel behaviours are webrooming and showrooming. Taking as its basis the technology acceptance model (TAM) and the concept of exploratory consumer behaviour.FindingsThe results obtained from a sample of 847 apparel shoppers (462 webroomers and 385 showroomers) show that the higher perception of the usefulness and ease-of-use of omni-channel buying processes, the higher the intention to develop both webrooming and showrooming behaviours. Additionally, the perceived ease-of-use exerts an additional indirect effect on the intention of developing these omni-channel behaviours through perceived usefulness. Finally, exploratory information seeking and acquisition have a relevant influence on webrooming intentions, but not on showrooming.Originality/valueThe authors’ research contributes to the literature on consumer behaviour in the fashion sector by testing a model to explain the intentions of individuals to adopt webrooming and showrooming, incorporating different psychographic variables linked to the use of ICT and the development of an exploratory consumer behaviour.
Children's ideas of changes in the state of matter: solid and liquid salt

This research examines children's (ages 12-13) ideas of changes in the state of matter of salt. Children construct ideas of physical phenomena and these ideas are serious to education. The change of state of matter is a transformation of substance due to the transfer of energy as heat. In several studies focused on children's ideas we find that these representations are often incompatible with the scientific model. In this research, where we studied the ideas of the melting and coagulation of the salt attended 104 children aged 12 to 13 years. The results of an interview show that these children use different types of ideas, the majority dominated by the nature of the substance under study.
Drought Analysis Using Standardized Precipitation Index (SPI): A Case Study in Jaffna Peninsula in Sri Lanka

The drought analysis is a prime component in the preparedness of drought and the water resources management. The status of drought in Jaffna was investigated using standardized precipitation index (SPI) at 1, 3, 6, 9 and 12 months’ time scale using monthly rainfall (1985 – 2019) data of Thirunelvelli meteorological station. Results revealed that the annual rainfall has no trend in long term but there were seasonal and short term variations found. Around 29% of study period was under dry condition. October, November, December and January months can be recorded as rainy months. Higher number of wet events was recorded during January to March. The second inter monsoon and northeast monsoon received high amount of rainfall. The number of wet event increases with years in Yala and vice versa during Maha. That is there was some variation in the onset of rainfall in this region. Nine hydrological years 1988- 89, 1990-91, 1994-95, 2000-01, 2004-05, 2009-10, 2013-14, 2016-17 and 2018-19 as dry years and 1985-86, 1993-94, 2001- 02, 2003-04, 2005-06, 2007-08 and 2014-15 have been identified as wet years. The result obtained through this time scale much with the country’s rainfall pattern. Therefore, SPI analysis confirms the historical drought situations over the country by using rainfall as an input.
The simple preparation of superhydrophobic sponge with fluorinated graphene and carbon nanotube

Abstract Nanomaterials have been developed to solve kinds of water pollution problems. Fluorinated graphene (FG) and multi-walled carbon nanotubes (MWCNTs) are used to improve the efficiency of oil/water separation of sponge via forming MWCNTs/FG/PU sponge in this work. The tests show that the two-dimensional FG can be adsorbed on the PU sponge, and one-dimensional MWCNTs can intertwine on the FG nanosheets as threads to fix on the skeletons of the PU sponge, which will form the micro-nano hierarchical structures and low surface energy surface. The surface contact angle of the MWCNTs/FG/PU sponge comes to the point of 158°, which indicates the MWCNTs/FG/PU sponge is superhydrophobic. The superhydrophobic MWCNTs/FG/PU sponge has outstanding ability to separate various oil/water mixtures effectively, and the corresponding absorbency of oils and organic reagents is over 15 g/g. Graphical Abstract
Is Longevity Acceleration Sustainable? An Entropy-Based Trial of the Population of Spain vs. Japan

Longevity risk is a major concern for governments around the world as they have to address social benefits, whether in the form of pensions, healthcare, or caring for dependents and providing long-term care, and so forth, which directly impact countries’ budgets. This paper uses a single entropy index to measure this type of risk. This methodology is clearly different from the one traditionally used in the literature, which is nearly entirely based on measuring the evolution of mathematical life expectancy. The authors used the longest-living populations in the world, Japan and Spain, to create a database in order to analyse the virtue of the indicator. The aim was to establish whether the longevity of those populations is accelerating or decelerating, compared by sex, and whether that occurs at the same intensity at different stages of a person’s life in each case. If the indicator showed differences in intensity, it would be a benchmark for the insurance and financial industry, providing it with information to market different products.
Homology modeling and mutation prediction of ACE2 from COVID-19

SARS-CoV-2 has become a pandemic in the world. The virus binds to the Angiotensin-Converting Enzyme 2 (ACE2) receptor, which is found in epithelial cells such as in the lungs, to generate the pathology of COVID-19. It is essential to analyze the characteristics of ACE2 in understanding the development of the disease and study potential new drugs. The analysis was carried out using computer simulations to speed up protein analysis that utilized Artificial Intelligence technology, databases, and big data. Homology modeling is a method to exhibit homologous of protein families, hence the model and arrangement of protein sequences modeled are established. This research aims to determine the possibility of mutations in ACE2 by performing the mutation prediction. The result shows reliable homologous modeling with the score of GA341, MPQS, Z-DOPE, and TSVMod NO35 were 1; 1.28252; -0.47; and 0.793, respectively. Moreover, Gene Ontology (GO) analysis describes that ACE2 has a molecular transport function in cells while there are no mutations found occurred in ACE2 analyzed using SIFT and PROVEAN.
The architectural experience of the Kasbah of Algiers: Insights from le Corbusier’s experience and neuroarchitecture

This paper contributes to a deepening of the knowledge about how architectural experience can be described in neuro-phenomenological terms, through the development of a cognitive-phenomenological approach to examining architectural experience through text-based analysis. It aims to develop an assessment tool to produce knowledge about one? s personal experience and perception of the built environment by exploring the impact of its spatial properties on an individual, taking as a case study Le Corbusier? s experience of the Kasbah of Algiers. The results demonstrate that this city has the power to stir emotional engagement that arises from: a high cognitive-affective reaction towards the dynamic interactions between the curved contours of its streets; the harmony of its colours; the magnitude and vastness generated by its panoramic views towards the sea; its proportions in relation to the dimensions of the human body in different postures; the contrasts of the height, light, dimensions and ambiances; and the spatial navigation that favours the act of walking to discover the Kasbah and unveil its mysteries. These properties exist as complex networks of interconnected physical and atmospheric elements, and they involve integrated perception under the influence of previous knowledge, beliefs and aspirations to shape Le Corbusier? s architectural experience of the Kasbah.
Exploratory analysis of the connections between acceptance of the Covid health passport and intention to travel: the case of Spain

ABSTRACT In January 2021, the Secretary of the World Tourism Organisation pointed to the implementation of health certification as a way to revive tourism. The aim of the study presented here is to analyse whether the acceptance of the health passport as a measure to revive travel ultimately improves the general population's intention to travel. A questionnaire was distributed and answered by 717 potential tourists. The data was analysed using PLS-SEM through the SmartPLS software. The results indicated that passport acceptance and credibility in preventive measures restricting the arrival of international tourists have a negative impact on intention to travel. In addition, a favourable attitude to travel has a negative effect on the acceptance of restrictions. This analysis contributes to the knowledge on the reactivation of international travel through health certification.
Replicability of aggregate disruption by sonication-an inter-laboratory test using three different soils from Germany

Sonication is widely used for disruption of suspended soil aggregates. Calorimetric calibration allows for determining sonication power and applied energy as a measure for aggregate disrupting forces. Yet other properties of sonication devices (e.g., oscillation frequency and amplitude, sonotrode diameter) as well as procedure details (soil‐to‐water ratio, size, shape, and volume of used containers) may influence the extent of aggregate disruption in addition to the applied energy. In this study, we tested potential bias in aggregate disruption when different devices or procedures are used in laboratory routines. In nine laboratories, three reference soil samples were sonicated at 30 J mL⁻¹ and 400 J mL⁻¹. Aggregate disruption was estimated based on particle size distribution before and after sonication. Size distribution was obtained by standardized submerged sieving for particle size classes 2000–200 and 200–63 µm, and by dynamic imaging for particles 45 W). Thus, these sonication device properties need to be listed when reporting on sonication‐based soil aggregate disruption. The overall small differences in the degree of disruption of soil aggregates between different laboratories demonstrate that sonication with the energies tested (30 and 400 J mL⁻¹) provides replicable results despite the variations regarding procedures and equipment.
A Hybrid Approach for Paper Recommendation

SUMMARY Paper recommendation has become an increasingly important yet challenging task due to the rapidly expanding volume and scope of publications in the broad research community. Due to the lack of user proﬁles in public digital libraries, most existing methods for paper recommendation are through paper similarity measurements based on citations or contents, and still su ﬀ er from various performance issues. In this paper, we construct a graphical form of citation relations to identify relevant papers and design a hybrid recommendation model that combines both citation-and content-based approaches to measure paper similarities. Considering that citations at di ﬀ erent locations in one article are likely of di ﬀ erent sig-niﬁcance, we deﬁne a concept of citation similarity with varying weights according to the sections of citations. We evaluate the performance of our recommendation method using Spearman correlation on real publication data from public digital libraries such as CiteSeer and Wanfang. Extensive experimental results show that the proposed hybrid method exhibits better performance than state-of-the-art techniques, and achieves 40% higher recommendation accuracy in average in comparison with citation-based approaches.
Rethinking Fine-Grained Measurement From Software-Defined Perspective: A Survey

Network measurement provides operators an efficient tool for many network management tasks such as performance diagnosis, traffic engineering and intrusion prevention. However, with the rapid and continuous growth of traffic speed, it needs more computing and memory resources to monitor traffic in per-flow or per-packet granularity. Sample-based measurement systems (e.g., NetFlow, sFlow) have been developed to perform coarse-grained measurement, but they may miss part of records, especially for mice flows, which are important for some network management tasks (e.g., anomaly detection, performance diagnosis). To address these issues, data streaming algorithms such as hash tables and sketches have been introduced to balance the trade-off among accuracy, speed, and memory usage. In this article, we present a systematic survey of various data structures, algorithms and systems which have been proposed in recent years to perform fine-grained measurement for high-speed networks. We organize these methods and systems from a software-defined perspective. In particular, we abstract fine-grained network measurement into three-layer architecture. We introduce the responsibility of each layer and categorize existing state-of-the-art works into this architecture. Finally, we conclude the article and discuss the future directions of fine-grained network measurement.
Stripline forward‐wave directional coupler based on double multi‐via mushroom and short‐circuited branch line

A stripline forward‐wave directional coupler is proposed using periodical double multi‐via mushroom structures and short‐circuited branch lines in this paper. By adding the short‐circuited branch lines to the coupled lines and the patch of the upper or lower mushroom structure, the operating bandwidth is enhanced for the unit cell design. The even/odd mode phase difference of one unit cell is located within 20 ~ 30° from 6.1 to 6.7 GHz with an acceptable even/odd mode Bloch impedance mismatching. Finally, a prototype is fabricated by multi‐layer printed circuit broad technology and measured. The agreement is achieved between the simulated and measured results.
License to Spill: How Do We Discuss Spillovers in Article IV Staff Reports

This paper dives into the Fund’s historical coverage of cross-border spillovers in its surveillance. We use a state-of-the-art deep learning model to analyze the discussion of spillovers in all IMF Article IV staff reports between 2010 and 2019. We find that overall, while the discussion of spillovers decreased over time, it was pronounced in the staff reports of some systemically important economies and during periods of global spillover events. Spillover discussions were more prominent in staff reports covering advanced and emerging market economies, possibly reflecting their role as sources of global spillovers. The coverage of spillovers was higher in the context of the real, financial, and external sectors. Also, countries with larger economies, higher trade and capital account openess and lower inflation are more likely to discuss spillovers in their Article IV staff reports.