Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective synthesis of Fe3O4, γ-Fe2O3, and α-Fe2O3 using cellulose-based composites as precursors

Iron oxide with various phases such as Fe3O4, γ-Fe2O3, and α-Fe2O3 has been selective successfully synthesized using cellulose-based composites as precursors, which were obtained at 180 °C for 45 min by the microwave-hydrothermal method. The products were characterized with X-ray powder diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TG), derivative thermogravimetric analysis (DTG), X-ray photoelectron spectroscopy (XPS), and scanning electron microscopy (SEM). Fe3O4, γ-Fe2O3, and α-Fe2O3 could be selectively synthesized by changing the calcination temperature and atmosphere. It was found that Fe3O4 was obtained in the N2 atmosphere. However, γ-Fe2O3 and α-Fe2O3 were observed at 300 and 500 °C for 3 h in the air atmosphere, respectively. The as-synthesized Fe3O4 and γ-Fe2O3 displayed superparamagnetic characteristics at room temperature via the magnetization measurement. The methylene blue (MB) adsorption capacity of γ-Fe2O3 (air 300 °C) can reach 98.72% and the adsorption isotherms better fitted Freundlich isotherm models. This work provided a promising strategy for the synthesis of metal and carbon/metal composites using biomass as a precursor.
The Mirror Image Symmetry in the Optical Absorption/Luminescence Spectra of the Large Surface Plasmons in Ag/Ag

The aim of this paper is to compare the spectral features of the response plasmon peak in both the optical absorption and photoluminescence spectra of the Ag/Ag2O composites synthesized by treating silver thin films manufactured by thermal evaporation method with oxygen plasma afterglow. Results show that close values of the relative area and spectral width of the plasmon response peaks in the optical absorption/photoluminescence spectra were obtained in the case of samples with high oxygen content. In addition, the intensity ratio (Iabsorption/Iluminescence) of these samples decreases linearly with increasing silver oxide grain size.
A novel state of health estimation method for lithium-ion battery based on partial incremental capacity and Support vector regression

State of Health (SOH) is critical for lithium-ion batteries as it ensures the safety of batteries’ health condition and provides a basis for retirement of the batteries. In order to provide an accurate estimation of the SOH, a novel hybrid estimation method based on the partial incremental capacity and Support vector regression (SVR) is proposed in this paper. Firstly, the Savitzky-Golay method is applied to smooth the initial incremental capacity curves under the period of constant current charge. Then the key health features are extracted from the partial incremental curve theoretically and selected through correlation analysis methods. Finally, an SVR model is constructed to estimate the SOH. Several battery datasets under different cycling test conditions are used to validate the effectiveness of the proposed method. The result shows that the proposed method can provide a reliable and accurate estimation for SOH.
An overview of path planning algorithms

This paper reviews the basic concepts of path planning, classifies environmental modeling methods, analyzes the significance of V2X environment modeling, and summarizes the existing path planning algorithms. Different algorithm can be adjusted in time according to different environments to improve the efficiency of path planning. In addition, according to the advantages and disadvantages of different algorithms, each algorithm is fused, which can effectively avoid the shortcomings of each algorithm and improve the efficiency of the planning algorithm.
Evaluation of Energy Consumption of Typical Asphalt Pavement Structure

The energy consumption of asphalt pavement during construction is analyzed according to life cycle theory. The energy consumption boundary of each asphalt pavement structure layer during construction period is clarified. The energy consumption of each link of asphalt pavement is analyzed, and the key nodes of energy consumption control during construction of asphalt pavement are identified. At the same time, by comparing the energy consumption of different types of mixtures, new energy-saving and emission reduction technologies are recommended.
A New Helenanolide, 11βH-Dihydro-4-epineopulchellin, Isolated from Gaillardia grandiflora

A new pseudoguaianolide named 11βH-dihydro-4-epineopulcehllin (1a) was isolated from the methanol extract of Gaillardia grandiflora. The stereostructure was determined on the basis of spectral evidence, especially proton nuclear magnetic resonance (including the 1H-1H correlation spectroscopy technique), and was confirmed by the transformation from neopulchellin (2a).
Flexible Insurance for Informal Long-Term Care: A Study of Stated Preferences

We collect and analyze stated preferences for long-term care insurance that pays income in poor health states instead of reimbursing formal care costs. Around 75% of the sample of 1008 pre-retirees chose to purchase at least some long-term care income insurance from a menu that also included liquid wealth and a life annuity. Our results show that long term care income insurance is complementary to informal care and is attractive to seniors who plan to rely on family members for extensive care. Those who have access to extensive informal care demand 25-37% more health- contingent income per year than those who do not. Females who expect to rely exclusively on extensive care from family members are willing to buy more cover than males. We also find that if long-term care income insurance were available, many healthier seniors would release funds set aside to self-insure long-term care risk and purchase additional longevity insurance.
Sampling Dynamics and Stable Mixing in Hawk-Dove Games

The hawk-dove game admits two types of equilibria: asymmetric pure equilibria in which players in one population play ‘hawk’ and players in the other population play ‘dove’, and a symmetric mixed equilibrium. The existing literature on dynamic evolutionary models show that populations will converge into playing one of the asymmetric pure equilibria from any initial state. By contrast, we show that under plausible sampling dynamics, in which agents occasionally revise their actions by<br>observing either opponents’ behavior or payoffs in a few past interactions, can induce the opposite result: global convergence to the symmetric mixed equilibrium.
The strategic allocation to style-integrated portfolios of commodity futures

We contribute to the literature on the diversification benefits of commodity futures by integrating it with the literature on style integration. Our work augments the traditional asset mix of investors with a long-short portfolio that integrates the styles that matter to the pricing of commodity futures. The style-integrated portfolio offers remarkable out-of-sample performance and low correlations with stocks and bonds, in particular in periods of heightened volatility in equity markets. As such, it is a worthy candidate for inclusion to the strategic asset allocation of investors. Treating the style-integrated portfolio as part of the strategic mix is found to enhance out-of-sample performance and reduce crash risk compared to the alternatives considered thus far. The conclusion holds across traditional asset mix and portfolio allocation methods. Albeit lower, the diversification benefits of style integration also persist in a long-only setting.
Impact of Increased Consumption of Ready to Eat Meals on the Scottish Supply Chains: Input-Output Analysis

Ready meals contribute to the economic performance of the UK economy. However, in 2020, demand declined due to the COVID-19 pandemic; chilled ready meals declined by 3.6 per cent but frozen and ambient ready meals grew by 10.1 per cent and 5.6 per cent, respectively. This has implications for the national economy. The purpose of this paper is to assess the implications of this increase/decrease on the entire Scottish economy. We rely on the latest Input-Output (IO) table (2017) from the Scottish government for our analysis. For this, the study disaggregates the original IO table sector ‘Other food products’ into ‘Other food products’ and the ‘Ready meals’ sector. We simulate the impacts of increase/decrease in demand for ready meals produced in Scotland on the entire Scottish economy. The changes were based on annual sales growth from 2017 to 2020. Results indicate that increased demand for ready meals produced in Scotland will expand all sectors of the economy, with the greatest impact on the ready meals (8.65 per cent) and other food products sectors (2.13 per cent). Changes in agricultural output were between 0.01 – 0.02 per cent.
Unsupervised inference of statistically significant synchronization and opposition links from bipartite systems

Many of the real-world data sets can be portrayed as bipartite networks. Such data sets are particularly abundant where human behavior is being recorded. Because typically direct observations of the relationships between different agents are lacking, they need to be inferred by converting bipartite networks to their mono-partite counterparts. While most bipartite networks contain only one type of a link, e.g., an agent attended an event, data sets exist where the links can represent different actions, say when voting, an agent supported, opposed, or abstained a proposition. This paper proposes a new unsupervised statistical method based on hypergeometric-binomial mixture distribution to identify the most significant synchronization and opposition ties between agents when they are recorded to take different actions. The method takes into account the heterogeneity of individual nodes in terms of how active they are and in terms of their preferred actions. The resulting binary or signed graphs can then be used to investigate the structure of co-behaviors between agents. We demonstrate the link validation using empirical investor trading and parliament member voting data. We find structurally balanced signed networks.
A Scoping Review on Data Governance

The purpose of this review is to better understand the literature on data governance. With business decisions becoming increasingly driven by data and data analysis, data governance is significant in today's environment. By applying the Joanna Briggs Institute Scoping Review Protocol, the scoping review systematically searches the literature, which is then mapped and charted to detect ignificant gaps and themes. We observe that data governance has a variety of definitions and provide an encompassing description. We also perceive that most of the research from Q1 journals has been conducted in the United Kingdom and the United States. We observe that the research on data governance began mainly after 2010 and is primarily focused on the medical field. Finally, we find that the primary research methodologies utilized are quantitative studies and systematic reviews of the literature.
A factor-based risk model for multi-factor investment strategies

This note presents a novel, practical approach to risk management<br>for multi-factor equity investment strategies. Our approach lies in the<br>construction of a cross-sectional risk model using the stock return betas<br>and a small number of style factors and macro-sectors indicator functions<br>as explanatory variables in a cross-sectional regression. The model leads<br>to a covariance structure that incorporates in an intuitive fashion the<br>stocks’ characteristics while at the same time possesses good conditioning<br>properties leading to a robust optimization problems. Various portfolio<br>constructions are analyzed in details, and some concrete examples are<br>provided.
Product Bundle Recommendation and Pricing: How to Make It Work?

Product bundling is a common marketing strategy for cross-selling in multiproduct firms. Motivated by settings in online product recommendation, we propose a new approach, dubbed bundle recommendation and pricing (BRP), to enhance the performance of bundle recommendation system. BRP keeps all the separately priced products in the recommended set, and adds a subset of products as a new bundle with a discounted price to customers. This approach extends pure bundling (PB), where all the products are sold in a single bundle with a discounted price to customers. Although PB can be more profitable than component pricing (CP) where products are priced and sold separately, it can be inferior to CP in the presence of high marginal cost. We show that such a simple "CP + one bundle" scheme can be more profitable than both PB and CP, and is near optimal in many environments. <br><br>BRP improves CP by extracting the deadweight loss, but retains the profitability of CP when some products have relatively high marginal costs. However, finding the optimal BRP solution is often intractable. We develop a new approximation to this problem and use a Bayesian optimization algorithm to optimize the bundle selection and pricing decisions. Extensive numerical results show that our algorithm outperforms other common heuristics. More importantly, by simply adding one more bundle option to the common CP mechanism, our results show that BRP tends to significantly increase both the monopolist's profit and customers' utility as compared with CP and PB.
Which Assets Can Be Priced by the CAPM Formula?

We determine the general solution for the semi-equilibrium prices of primitive securities in the formula for the capital asset pricing model (CAPM). Furthermore, considering the clearing condition of the total market value of risky assets, we determine the equilibrium solution to the CAPM market, which reveals the overall thinking in equilibrium pricing. We use a numerical example to illustrate that the CAPM equilibrium does not exclude arbitrage opportunities. In addition, we show that the CAPM formula can only be used to price marketable (within the market payoff space) assets, because beta pricing is a manifestation of the law of asset portfolio in the CAPM market, that is, beta pricing is based on the prices of primitive securities to compute the linear pricing of the asset portfolio in the market. Therefore, the various existing applications of the CAPM formula need to be re-examined.
CAMA Centre for Applied Macroeconomic Analysis Fiscal Consolidations CAMA Working Paper 57 / 2021 July 2021

I examine whether action-based fiscal consolidations are exogenous to contemporaneous GDP growth. Based on the narrative record, these fiscal consolidations had the primary objective to reduce a budget deficit. I find that temperature changes, the GDP growth rate of trading partners, and an international commodity price index have significant: (i) negative contemporaneous effects on actionbased fiscal consolidations; (ii) positive contemporaneous effects on GDP growth. These results imply that it is highly unlikely that action-based fiscal consolidations are exogenous to contemporaneous GDP growth. Using an instrumental variables approach, I find that action-based fiscal consolidations have significant positive effects on GDP growth. Electronic copy available at: https://ssrn.com/abstract=3880814 | T H E A U S T R A L I A N N A T I O N A L U N I V E R S I T Y
Mutual fund performance: Shouldn’t clear winners outperform both, the benchmark and the peer-group?

Standard Fama-French-Carhart models define ‘winners’ as those funds that generate highest excess returns given the factor risks involved; however they do not provide information on whether such winners are outperforming their prospectus benchmark or their peer-group. In addition, existing literature relying on these models by and large does not find evidence of persistence in performance. In this paper, we argue that true (unbiased) winners should be defined differently: they are funds placed in the top-ranking group (quartile, quintile, etc.), which generate the highest factor-risk-adjusted performance relative to the benchmark and the peer-group simultaneously. We prove in this paper that using this definition and selecting true winner funds based on benchmark- and peer-group-adjusted alphas jointly lead to better performance than selecting the funds using either of these two alphas separately. Utilising both adjustments at the same time results in a strong predictive ability, leading to a selection of funds that persist in performance: our true winner funds have statistically significantly superior benchmark-adjusted alphas, peer-group adjusted alphas and Sharpe ratios one-year-ahead, which are significantly different from those generated by the true loser funds. The results are robust to extended investment horizon, and alpha estimation method, and they are not driven by outliers, size of fund-sorts, or any particular period within our sample.
Best time for college? A tale of two endowments

Rather than completing all schooling consecutively before entering the labor force, people often delay college start and engage in labor market activities between periods of college enrollment. To examine the welfare consequence of such intermittent college, I incorporate a flexible age-by-age college enrollment choice in a life-cycle model in general equilibrium. I find that college serves as an investment device for the younger and a risk reduction for the older. Removing flexible access to college reduces the total welfare value of college by two-thirds. Flexible college access matters more for the initially less advantaged. Wealthier background and better human capital preparedness at age 18 raise college value, incentivizing enrollment and younger age degree completion. Policies such as college prep training can alleviate some initial human capital disadvantage, and need-based financial aid helps less wealthy students. Both policies promote college attendance, but the ones targeting initial wealth inequality can have more considerable long-term welfare improvement.
Analysis of Chemical Constituents of Capsicol by GC-MS

The volatile and headspace constituents of capsicol were analyzed by GC-MS with direct injection of capsicol solution and solid _ phase micro _ extraction(SPME). In the solution injection experiments, the most predominant compound of capsicol was capsaicin( 37.0%), following it were ethyl linolenate( 26.3%), palmitic acid( 10.9%), dihydro capsaicin( 10.1%), bis _(2 _ ethylhexyl)phthalate( 1.2%), and stearic acid( 1.0%) etc. In SPME experiments, the main headspace compounds were cis _ 2,4a,5,6,9,9a _ hexahydro _ 3,5,5,9 _ tetramethyl _ 1H _ benzocycloheptene( 22.9%), cis _ 2,4a,5,6,7,8,9,9a _ octahydro _ 3,5 _ diethyl _ 1H _ benzocycloheptene( 9.2%), n _ pentadecane( 7.0%), vulgarole( 5.9%), hexyl n _ valerate( 5.2%), n _ hexadecane( 3.3%) and musk lactone( 3.3%) etc.
Selective Inhibition of Genomic and Non-Genomic Effects of Thyroid Hormone Regulates Muscle Cell Differentiation and Metabolic Behavior

Thyroid hormones (THs) are key regulators of different biological processes. Their action involves genomic and non-genomic mechanisms, which together mediate the final effects of TH in target tissues. However, the proportion of the two processes and their contribution to the TH-mediated effects are still poorly understood. Skeletal muscle is a classical target tissue for TH, which regulates muscle strength and contraction, as well as energetic metabolism of myofibers. Here we address the different contribution of genomic and non-genomic action of TH in skeletal muscle cells by specifically silencing the deiodinase Dio2 or the β3-Integrin expression via CRISPR/Cas9 technology. We found that myoblast proliferation is inversely regulated by integrin signal and the D2-dependent TH activation. Similarly, inhibition of the nuclear receptor action reduced myoblast proliferation, confirming that genomic action of TH attenuates proliferative rates. Contrarily, genomic and non-genomic signals promote muscle differentiation and the regulation of the redox state. Taken together, our data reveal that integration of genomic and non-genomic signal pathways finely regulates skeletal muscle physiology. These findings not only contribute to the understanding of the mechanisms involved in TH modulation of muscle physiology but also add insight into the interplay between different mechanisms of action of TH in muscle cells.
Effect of Bioactive Glass-Containing Light-Curing Varnish on Enamel Remineralization

This study aimed to evaluate the effect of novel experimental light-curing bioactive glass (BAG)-containing varnish on enamel remineralization. An experimental light-curing, BAG-containing varnish and two commercial varnishes (Nupro White Varnish; Dentsply International, York, PA, USA and Tooth Mousse; GC Corporation, Tokyo, Japan) were used. Microhardness tests (n = 3), field emission scanning electron microscopy (FE-SEM) coupled with energy dispersive X-ray spectroscopy (EDS) (n = 5), and X-ray diffraction (XRD) analysis (n = 5) were performed to compare the remineralization effect of three varnishes with and without ultrasonication. The data of microhardness test were analyzed using one-way ANOVA and Tukey’s post hoc comparison (P < 0.05). Microhardness of demineralized enamel increased after the application of three varnishes (P < 0.05). The experimental BAG-containing varnish showed the highest microhardness among the three varnishes (P < 0.05). Ultrasonication decreased microhardness of Tooth Mousse and BAG-containing varnish groups (P < 0.05). FE-SEM and XRD revealed precipitates of hydroxyapatite (HAP) or fluorapatite (FAP) crystals of three varnishes. The novel experimental BAG-containing varnish may be a promising clinical strategy for the remineralization of early carious lesions or demineralized enamel surfaces.
Co-Adjuvant Therapy Efficacy of Catechin and Procyanidin B2 with Docetaxel on Hormone-Related Cancers In Vitro

Prostate (PC) and breast cancer (BC) are heterogeneous hormonal cancers. Treatment resistance and adverse effects are the main limitations of conventional chemotherapy treatment. The use of sensitizing agents could improve the effectiveness of chemotherapeutic drugs as well as obviate these limitations. This study analyzes the effect of single catechin (CAT), procyanidin B2 (ProB2) treatment as well as the co-adjuvant treatment of each of these compounds with docetaxel (DOCE). We used PC- and BC-derived cell lines (PC3, DU-145, T47D, MCF-7 and MDA-MB-231). The short and long-term pro-apoptotic, anti-proliferative and anti-migratory effects were analyzed. RT-qPCR was used to discover molecular bases of the therapeutic efficacy of these compounds. ProB2 treatment induced a two- to five-fold increase in anti-proliferative and pro-apoptotic effects compared to single DOCE treatment, and also had a more sensitizing effect than DOCE on DU145 cells. Regarding BC cells, ProB2- and CAT-mediated sensitization to DOCE anti-proliferative and pro-apoptotic effects was cell-independent and cell-dependent, respectively. Combined treatment led to high-efficacy effects on MCF-7 cells, which were associated to the up-regulation of CDKN1A, BAX, caspase 9 and E-cadherin mRNA under combined treatment compared to single DOCE treatment. CAT and ProB2 can enhance the efficacy of DOCE therapy on PC and BC cells by the sensitizing mechanism.