Miracle-dz/UniFAR-FTUs huggingface dataset:
Stock Price Prediction Based on Spatio-Temporal Coupling with Deep Learning

Stock price prediction is a nonlinear dynamic problem, and the stock price is susceptible to its autocorrelation and inertia effect, as well as other stock price fluctuation on the same plate. Traditional Autoregressive Integrated Moving Average Model (ARIMA) only builds a linear prediction model, but the neural network model has strong nonlinear modeling ability. In this paper, we propose a Convolutional neural networks with Long short-term memory (CNN-LSTM) method to predict stock price fluctuations. This is because the selective memory advanced deep learning function of LSTM is used to deeply mine the internal rules of time series information, and the convolution in CNN is used to integrate the original stock data to extract the relationship between features of different variables. Finally, the feasibility of the method and the model's applicability are analyzed by comparing with the results of other prediction models and a conclusion is drawn. The results show that, compared with the prediction model based on time series alone, the model has a significant accuracy advantage. In addition, the hybrid model can better help investors make decisions, expand returns, and avoid risks.
Entropy functionals and c-theorems from the second law

We show that for a general four derivative theory of gravity, only the holographic entanglement entropy functionals obey the second law at linearized order in perturbations. We also derive bounds on the higher curvature couplings in several examples, demanding the validity of the second law for higher order perturbations. For the five-dimensional Gauss-Bonnet theory in the context of AdS/CFT, the bound arising from black branes coincides with there being no sound channel instability close to the horizon. Repeating the analysis for topological black holes, the bound coincides with the tensor channel causality constraint (which is responsible for the viscosity bound). Furthermore, we show how to recover the holographic c-theorems in higher curvature theories from similar considerations based on the Raychaudhuri equation.
EXACT ABJM PARTITION FUNCTION FROM TBA

We report on the exact computation of the S3 partition function of U(N)k × U(N)-k ABJM theory for k = 1, N = 1, …, 19. The result is a polynomial in π-1 with rational coefficients. As an application of our results, we numerically determine the coefficient of the membrane 1-instanton correction to the partition function.
Optimization of the Method of Fundamental Solution for Computation of Charges and Forces on a Spherical Particle between Two Parallel Plates

The aim of the present paper is to apply the method of fundamental solution (MFS) to the geometry of a spherical particle between two parallel plates. The force, charge and the electric field around the sphere were computed for several geometrical parameters and conditions and compared with available analytical expressions. A comparison with the charge simulation method (CSM) when line and ring charges are used for simulating the same geometry is also carried out in this paper. As the knowledge of the coefficients of capacity is of interest in relation to the enhancement of the electric field as the sphere approaches the electrode, these coefficients are also computed together with the enhancement factor. Results are compared with those obtained when solving the problem analytically.
A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine

The time-series data generated by turbofan engines has a great degree of complexity and dynamics. At present, recurrent neural networks are commonly used to model and forecast the remaining useful life (RUL). The relationship of the sample data is not taken into account, and there are issues such as gradient explosion. In view of this, a spatio-temporal attention model is proposed, which comprehensively relates to the temporal association of data features and the hidden state of data features in space. At the same time, position coding is performed on the temporal relationship, avoiding the use of recurrent neural networks. Experimental results show that by combining the two dimensions, the predictive performance of the model is significantly improved. Compared with different methods on the four data sets of the commercial modular aerospace propulsion system simulation (C-MAPSS), the stability and prediction accuracy of the spatio-temporal attention model are better than that of alternative methods.
Characterization of kraft lignin prepared from mixed hardwoods by 2D HMQC and 31P NMR analyses

This study was conducted to determine the lignin substructures, hydroxyl (phenolic + aliphatic) contents, and carboxyl contents in kraft lignin (KL) prepared from mixed hardwoods by using 2D Heteronuclear Multiple Quantum Coherence Nuclear Magnetic Resonance (HMQC NMR) and 31P NMR techniques. Based on 2D HMQC NMR analysis of KL, stilbene and vanillin substructures were present in the aromatic region, while trace amounts of β-O-4 and β-β moieties were detected in the oxygenated aliphatic region. The total hydroxyl content calculated from 31P NMR was 5.24 mmol/g KL. The aliphatic hydroxyl content was 1.04 mmol/g KL, and phenolic hydroxyl content was 4.20 mmol/g KL. Of the phenolic hydroxyl groups, the contribution of syringyl (S) and guaiacyl (G) was 1.02 and 0.97 mmol/g KL, respectively. The S/G molar ratio of KL calculated from 31P NMR was 1.05. The carboxyl content was 0.44 mmol/g KL.
A note on moment convergence of bootstrap M-estimators

This paper studies the consistency of bootstrap moment estimators for a general M-estimator. We establish a theorem on the uniform integrability of the bootstrap M-estimator, thereby giving sufficient conditions for the consistency of the bootstrap moment estimators. As an application of our theorem, we provide sufficient conditions for the consistency of the bootstrap variance estimator for the quantile regression estimator, which has been considered as an important unsolved problem in the literature. We also discuss a justification of a bootstrap information criterion.
Portfolio Analysis of Stocks in Diverse Industries

Portfolio optimization is a key issue in the current financial field. This paper aims to analyze the asset allocation of technology, financial services, industry, consumer defense and health. This paper selects ten representative company stocks from these five industries, then calculates the characteristic data and randomly assigns weights to them. Then, it uses the formulas of the two most effective models at present - Markowitz model and single index model to calculate the return, standard deviation and sharp ratio respectively, and randomly simulates a large number of data. Then it calculates the CAL curves under the two models, calculates the minimum variance frontier, efficient frontier and inefficient frontier under the five constraints that may be encountered in the actual investment, and draws the corresponding graphs. Finally, it finds out the differences and connections of figures under different constraints and makes a preliminary comparison between the effects of the two models. The results show that: first, there are slight differences in the results of the portfolio solved by the two models; Secondly, the two models can jointly reflect the portfolio characteristics under different constraints. These findings are useful for relevant investors who build portfolios in different industries.
HD 179821 (V1427 Aql, IRAS 19114+0002) – A Massive Post-Red Supergiant Star?

We have derived elemental abundances of a remarkable star, HD 179821, with unusual composition (e.g. [Na/Fe]=1.0$\pm$0.2 dex) and extra-ordinary spectral characteristics. Its metallicity at [Fe/H]=0.4 dex places it among the most metal-rich stars yet analyzed. The abundance analysis of this luminous star is based on high resolution and high quality (S/N$\approx$120--420) optical echelle spectra from McDonald Observatory and Special Astronomy Observatory. The data includes five years of observations over twenty-one epochs. Standard 1D {\sc LTE} analysis provides a fresh determination of the atmospheric parameters over all epochs: \Teff = 7350$\pm$200 \kelvin, \logg = +0.6$\pm$0.3, and a microturbulent velocity $\xi =$ 6.6$\pm$1.6 km s$^{\rm -1}$ and [Fe/H] = 0.4$\pm$0.2, and a carbon abundance [C/Fe]= $-$0.19$\pm$0.30. We find oxygen abundance [O/Fe]= $-$0.25$\pm$0.28 and an enhancement of 0.9 dex in N. A supersonic macroturbulent velocity of 22.0 $\pm$ 2.0 km s$^{\rm -1}$ is determined from both strong and weak Fe\,{\sc i} and Fe\,{\sc ii} lines. Elemental abundances are obtained for 22 elements. HD 179821 is not enriched in s-process products. Eu is overabundant relative to the anticipated [X/Fe] $\approx$ 0.0. Some peculiarities of its optical spectrum (e.g. variability in the spectral line shapes) is noticed. This includes the line profile variations for H$\alpha$ line. Based on its estimated luminosity, effective temperature and surface gravity, HD 179821 is a massive star evolving to become a red supergiant and finally a Type II supernova.
A Real-Time Estimation Method of Soil-Bucket Interaction of an Autonomous Excavator via Marching Cube and Constructive Solid Geometry Methods

: In this paper, a combination of marching cubes and the constructive solid geometry method were merged to develop a simple, fast, and accurate method to estimate the shape of the soil in addition to the volume of the soil in the bucket during the digging process of an autonomous excavator. A simulation test was designed to verify the proposed method. The result of the implemented software simulation was compared with the analytical solution to validate the accuracy of the proposed method.
THE ACS NEARBY GALAXY SURVEY TREASURY. VII. THE NGC 4214 STARBURST AND THE EFFECTS OF STAR FORMATION HISTORY ON DWARF MORPHOLOGY

We present deep Hubble Space Telescope WFPC2 optical observations obtained as part of the ACS Nearby Galaxy Survey Treasury as well as early release Wide Field Camera 3 ultraviolet and infrared observations of the nearby dwarf starbursting galaxy NGC 4214. Our data provide a detailed example of how covering such a broad range in wavelength provides a powerful tool for constraining the physical properties of stellar populations. The deepest data reach the ancient red clump at MF814W ∼ − 0.2. All of the optical data reach the main-sequence turnoff for stars younger than ∼300 Myr and the blue He-burning sequence for stars younger than 500 Myr. The full color–magnitude diagram (CMD) fitting analysis shows that all three fields in our data set are consistent with ∼75% of the stellar mass being older than 8 Gyr, in spite of showing a wide range in star formation rates at present. Thus, our results suggest that the scale length of NGC 4214 has remained relatively constant for many gigayears. As previously noted by others, we also find the galaxy has recently ramped up production consistent with its bright UV luminosity and its population of UV-bright massive stars. In the central field we find UV point sources with F336W magnitudes as bright as −9.9. These are as bright as stars with masses of at least 52–56 M☉ and ages near 4 Myr in stellar evolution models. Assuming a standard initial mass function, our CMD is well fitted by an increase in star formation rate beginning 100 Myr ago. The stellar populations of this late-type dwarf are compared with those of NGC 404, an early-type dwarf that is also the most massive galaxy in its local environment. The late-type dwarf appears to have a similar high fraction of ancient stars, suggesting that these dominant galaxies may form at early epochs even if they have low total mass and very different present-day morphologies.
Affordable Nutrient Density in Brazil: Nutrient Profiling in Relation to Food Cost and NOVA Category Assignments

Affordable nutrient density is provided by low-cost and nutrient-rich foods. We explored nutrient density, cost, and NOVA category assignments within and across food groups in Brazil. The nutrient density of the foods (n = 591) was assessed using the Nutrient Rich Food Index (NRF9.3) based on protein, fiber, vitamin A (RAE), vitamin C, vitamin E (mg), Ca, Fe, K and Mg; and NRF6.3 score for priority nutrients: Ca, Fe, Zn, vitamin A, vitamin B12, and folate. Nutrients to limit (LIM) were saturated fat, added sugar, and sodium. Affordability was defined as the ratio of energy and/or nutrient density of foods and retail price per 100 kcal. Foods were classified as minimally processed (n = 106), processed (n = 188), ultra-processed (n = 286), and culinary ingredients (n = 11). Nutrient density was positively linked to per 100 kcal food cost. Ultra-processed foods (UPF) contained more energy, fat, sugar, and salt and had lower NRF scores compared to minimally processed (MPF) foods. UPF was also less expensive than MPF foods. Nutrient-rich foods below the median per 100 kcal costs included MPF foods, but also processed foods (PF) and UPF. Affordable nutrient-rich foods can be found in the different categories of the NOVA classification.
Signatures of discrete scale invariance in Dst time series

Self‐similar systems are characterized by continuous scale invariance and, in response, the existence of power laws. However, a significant number of systems exhibits discrete scale invariance (DSI) which in turn leads to log‐periodic corrections to scaling that decorate the pure power law. Here, we present the results of a search of log‐periodic corrections to scaling in the squares of Dst index increments which are taken as proxies of the energy dissipation rate in the magnetosphere. We show that Dst time series exhibit DSI and discuss the consequence of this feature, as well as the possible implications of Dst DSI on space weather forecasting efforts.
Factors Influencing Solvers' Behaviors in Knowledge-Intensive Crowdsourcing: A Systematic Literature Review

Solver participation plays a critical role in the sustained development of knowledge-intensive crowdsourcing (KI-C) systems. Extant theory has highlighted numerous factors that influence solvers’ participation behaviors in KI-C. However, a structured investigation and integration of significant influential factors is still lacking. This study consolidated the state of academic research on factors that affect solver behaviors in KI-C. Based on a systematic review of the literature published from 2006 to 2021, this study identified five major solver behaviors in KI-C. Subsequently, eight solver motives and seventeen factors under four categories, i.e., task attributes, solver characteristics, requester behaviors, and platform designs, were identified to affect each of the solver behaviors. Moreover, the roles of solver motives and the identified factors in affecting solver behaviors were demonstrated as well. We also suggested a number of areas meriting future research in this study.
Transforming Pipelines into Digital Platforms: An Illustrative Case Study Transforming a Traditional Pipeline Business Model in the Standardization Industry into a Digital Platform

For many, digital transformation is the new normal. However, in particular, pipeline businesses in traditional industries, such as standard-setting organizations (SSOs), are reluctant to radically rethink their business models, as they have often successfully prevailed for decades. The literature shows that there is a great deal of theory to be found on digital transformation, but a practical and, at the same time, scientific approach is yet missing. Following the design science framework, this paper introduces a two-step approach to transform a pipeline business model into a digital standardization platform. This is achieved by mapping the incumbent pipeline business mode146l and its ecosystem with the Platform Business Model Canvas introduced by Eisape. The representation of the current ecosystem is then digitally transformed according to the three key transformation points introduced by Alstyne et al., shifting the current ecosystem into the digital realm. The illustrative case study on DIN e.V. (the German SSOs) demonstrates the new methodology and its suitability for real applications. The result is a platform business model for a digital standardization platform, which, compared via an index to the traditional business model, has the potential to disrupt the entire standardization industry.
THE [O iii] NEBULA OF THE MERGER REMNANT NGC 7252: A LIKELY FAINT IONIZATION ECHO

We present images and spectra of a ∼10 kpc-sized emission-line nebulosity discovered in the prototypical merger remnant NGC 7252 and dubbed the “[O iii] nebula” because of its dominant [O iii] λ5007 line. This nebula seems to yield the first sign of episodic active galactic nucleus (AGN) activity still occurring in the remnant, ∼220 Myr after the coalescence of two gas-rich galaxies. Its location and kinematics suggest it belongs to a stream of tidal-tail gas falling back into the remnant. Its integrated [O iii] λ5007 luminosity is 1.4 × 1040 erg s−1, and its spectrum features some high-excitation lines, including He ii λ4686. In diagnostic line-ratio diagrams, the nebula lies in the domain of Seyfert galaxies, suggesting that it is photoionized by a source with a power-law spectrum. Yet, a search for AGN activity in NGC 7252 from X-rays to radio wavelengths yields no detection, with the most stringent upper limit set by X-ray observations. The upper luminosity limit of erg s−1 estimated for the nucleus is ∼103 times lower than the minimum ionizing luminosity of ≳ 5 × 1042 erg s−1 necessary to excite the nebula. This large discrepancy suggests that the nebula is a faint ionization echo excited by a mildly active nucleus that has declined by ∼3 orders of magnitude over the past 20,000–200,000 yr. In many ways this nebula resembles the prototypical “Hanny's Voorwerp” near IC 2497, but its size is 3× smaller and its [O iii] luminosity ∼100× lower. We propose that it be classified as an extended emission-line region (EELR). The [O iii] nebula is then the lowest-luminosity ionization echo and EELR discovered so far, indicative of recent, probably sputtering AGN activity of Seyfert-like intensity in NGC 7252.
Bottom-up influence of Subjective Success (Happiness) on Sri Lankan Grassroots level Inventors

Owing to the poorer explicit successful performances, the grassroots level inventors in developing countries were not given needed attention and acceptable level recognition. Therefore, the question of why these inventors continuously involved in inventive activities where surroundings are becoming hostile to independent inventing remained unanswered in the literature. The present study aims to fill the said knowledge gap by exploring the demographic, psychological, technical and social causes and consequences of objective and subjective success of grassroots level inventors in Sri Lanka. The study was designed as a correlational research. Out of 640 patent applied grassroots level inventors in Sri Lanka between the year 2000 and 2008, 200 were randomly selected as the sample of the study. The sample represented 31% of the target population, and it has provided the acceptable statistical power 0.80 at 0.05 confidence level. According to the bottom-up path model, income, engagement in inventive activities and external linkages have positive influence on the objective success of grassroots level inventors. On the other hand, grassroots level inventors’ marital status, internet usage, life orientation and social capital have significant positive influence on the subjective success of inventors. More importantly, selected inventive life inputs: income, engagement in inventive activities and external linkages as well as the outcomes: objective success, inventive career satisfaction and community connectedness have significant indirect and direct positive influences on subjective success respectively.
Analisis Kelayakan Program Pengelolaan Data RS XYZ Karawang Dengan Database Berbasis Web

RS XYZ Karawang merupakan sebuah instansi yang bergerak pada bidang pelayanan Kesehatan masyarakat. Perkembangan dibidang teknologi informasi membuat banyak instansi pelayanan Kesehatan khususnya rumah sakit mulai mengembangkan informasi pelayanannya dengan menggunakan teknologi informasi, salah satunya adalah dengan menggunakan Sistem database dan aplikasi berbasis web. Website informasi pelayanan rumah sakit dikembangkan di rumah sakit RS XYZ Karawang. Website informasi pelayanan rumah sakit ini dapat digunakan para pasien atau pengunjung lain mengenai informasi praktek dokter, informasi dokter, informasi bangsal, dan informasi fasilitas di RS XYZ Karawang. Lalu dengan pengelolaan data dengan sistem Database, data yang di input atau akan direkap tidak perlu repot mencari berkasa dan menulis nya secara manual. Dengan hal ini Pegawai dapat bekerja secara efektif dan efesien sehingga meningkatkan Pelayanan RS XYZ Karawang. Pengujian yang dilakukan dengan Analisis PIECES untuk menemukan kelemahan pada sistem yang saat ini digunakan. Setelah menemukan kelemahan lalu akan dilakukan Analisis Kelayakan yang dilakukan berdasarkan aspek teknis, ekonomi, dan organisasi. Dari penelitian ini didapatkan hasil analisis kelayakan yang positif, sehingga program proyek ini dapat dilaksanakan karena didukung factor kelayakan teknis, ekonomi, dan organisasi.
Possible charge instabilities in two-dimensional doped Mott insulators

Motivated by the growing evidence of the importance of charge fluctuations in the pseudogap phase in high-temperature cuprate superconductors, we apply a large-$N$ expansion formulated in a path integral representation of the two-dimensional $t$-$J$ model on a square lattice. We study all possible charge instabilities of the paramagnetic state in leading order of the $1/N$ expansion. While the $d$-wave charge density wave (flux phase) becomes the leading instability for various choices of model parameters, we find that a $d$-wave Pomeranchuk (electronic nematic phase) instability occurs as a next leading one. In particular, the nematic state has a strong tendency to become inhomogeneous. In the presence of a large second nearest-neighbor hopping integral, the flux phase is suppressed and the electronic nematic instability becomes leading in a high doping region. Besides these two major instabilities, bond-order phases occur as weaker instabilities close to half-filling. Phase separation is also detected in a finite temperature region near half-filling.
VLBI multi-epoch water maser observations toward massive protostars

Abstract VLBI multi-epoch water maser observations are a powerful tool to study the gas very close to the central engine responsible for the phenomena associated with the early evolution of massive protostars. In this paper we present a summary of the main observational results obtained toward the massive star-forming regions of Cepheus A and W75N. These observations revealed unexpected phenomena in the earliest stages of evolution of massive objects (e.g., non-collimated “short-lived” pulsed ejections in different massive protostars), and provided new insights in the study of the dynamic scenario of the formation of high-mass stars (e.g., simultaneous presence of a jet and wide-angle outflow in the massive object Cep A HW2, similar to what is observed in low-mass protostars). In addition, with these observations it has been possible to identify new, previously unseen centers of high-mass star formation through outflow activity.
Gaia on-board metrology: basic angle and best focus

The Gaia payload ensures maximum passive stability using a single material, SiC, for most of its elements. Dedicated metrology instruments are, however, required to carry out two functions: monitoring the basic angle and refocusing the telescope. Two interferometers fed by the same laser are used to measure the basic angle changes at the level of μas (prad, micropixel), which is the highest level ever achieved in space. Two Shack- Hartmann wavefront sensors, combined with an ad-hoc analysis of the scientific data are used to define and reach the overall best-focus. In this contribution, the systems, data analysis, procedures and performance achieved during commissioning are presented .