Miracle-dz/UniFAR-FTUs huggingface dataset:
STEM Talent: A Game Changer in Organizational Digital Transformation

Although organizational digital transformation (ODT) is implemented globally, Thailand and the Lao People's Democratic Republic do not possess the right factors for success under the tech-no-socio-economic paradigm. Organizations must modernize their capital resources, particularly their talent, in order to become agile, competitive, and resilient in the digital era. In this research, we identify and validate by proposing talent success factors and a framework for enabling and promoting ODT in Thailand and the Lao People's Democratic Republic. The statistical population consisted of 410 individuals who were observed in their digital businesses. Confirmatory factor analysis (CFA) shows that a four-factor model fits. The most influential factor for ODT was found to be transdisciplinary ontology talent (TOT), followed by mental model talent (MMT), enterprise architecture talent (EAT), and strategic agile talent (SAT). The findings demystified the four factors, entitled "STEM talent," in a comprehensive framework and its artifacts while explaining their respective influences. The article proposes a STEM talent and its framework for ODT with high potential, including but not limited to Thailand and the Lao People's Democratic Republic. Doi: 10.28991/ESJ-2023-07-03-020 Full Text: PDF
Approximate Random Variate Generation from Infinitely Divisible Distributions with Applications to Bayesian Inference

SUMMARY Stochastic processes with independent increments play a central role in Bayesian nonparametric inference. The distributions of the increments of these processes, aside from fixed points of discontinuity, are infinitely divisible and their Laplace and/or Fourier transforms in the Levy representation are usually known. Conventional Bayesian inference in this context has been limited largely to providing point estimates of the random quantities of interest, although Markov chain Monte Carlo methods have been used to obtain a fuller analysis in the context of Dirichlet process priors. In this paper, we propose and implement a general method for simulating infinitely divisible random variates when their Fourier or Laplace transforms are available in the Levy representation. Theoretical justification is established by proving a convergence theorem that is a 'sampling form' of a classical theorem in probability. The results provide a method for implementing Bayesian nonparametric inference by using a wide range of stochastic processes as priors.
Improving Approximate Singular Triplets in Lanczos Bidiagonalization Method

Lanczos bidiagonalization method is the most popular method for computing some largest singular triplets of large matrices. In this method, $2m+1$ base vectors are generated from the $m$-step Lanczos bidiagonalization process, but only $2m$ of them are used to form the approximate singular vectors and one of them is not used. In this paper, we make two improvements on the classical Lanczos bidiagonalization method. Firstly, following Jia and Elsner's idea for eigenproblems [9], we form the new approximate singular vectors by minimizing the corresponding residual norms in subspaces generated by $2m+1$ base vectors to replace the old approximate singular vectors. Secondly, in the process of implicit restarting, we replace the classical exact shifts by new shifts based on the information of the new approximate singular vectors. The total extra cost of the new method can be neglected. Numerical experiments show that, after two improvements, the new method proposed in this paper performs much better than the classical Lanczos bidiagonalization method. It uses less restarts and CPU time to reach the desired convergence.
Analysis of Tropical–Extratropical Interactions with Influence Functions of a Barotropic Model

Abstract Influence functions (IFs) of a linear barotropic vorticity equation model are computed in order to determine the regions in which anomalous divergence at upper levels, related to tropical heating anomalies, has the largest impact on certain prominent low-frequency anomalies. The present computation differs from that of Branstator in two aspects: (a) the model includes the effects of the basic-flow divergence and the advection by anomalous divergent wind and (b) the influence functions directly assess the influence of upper-level divergence anomalies rather than sources of vorticity. The IFs are applied to the study of low-frequency tropical–extratropical interactions at the interannual (ENSO) and intraseasonal (30–60-day oscillation) timescales. The origin of well-known teleconnection patterns is explored through the identification of comma influence regions in the Tropics and subtropics for their main action centers. The subtropical west and central-east Pacific, north of the equator, is an impo.
Evaluation of Woody Plant Resources in Guangxi and Their Landscape Effects under the Background of HIBL

: Due to the support and affirmation at the national level, the popularity of Hands-on Inquiry Based Learning (HIBL) in China has gradually increased, and HIBL projects have been carried out in full swing. In this context, the construction of HIBL resources plays a prominent role in supporting the market. Taking typical cities in Guangxi (Nanning, Guilin, and Beihai) as examples, this study sorted out the data of woody plant resources, including the process of unification and naturalization of urban tree species names. The naturalization of tree species names is organized according to the latest natural classification system APG IV, and the Chinese names are reconfirmed based on Flora of China. By classifying the urban tree species data at the level of ecology and landscape (such as typical vegetation characteristics of typical cities in Guangxi, tree species in unique cities in Guangxi, introduction of urban tree species, landscape resources, and tree species with food source functions), a list of tree species suitable for the development of HIBL botanical course resources in Guangxi was obtained for the development and planning of follow-up HIBL courses. This study provides some theoretical support for the planning and development of plant resources, plant identification, and ecological HIBL projects in Guangxi.
Biomimetic Nanoparticles for Cancer Targeting and Drug Delivery

0Cellular membrane engineered nanoparticles (NPs) have shown immense potential for anti-cancer drug delivery applications. In principle, cell membrane of any type of cells can be processed to obtain purified cellular membrane which can self-assemble to form stable and highly robust nanovesicles. These nanovesicles retain lipid-bilayer architecture of host’s cells and much of the surface biomarkers and proteins are conserved during top-down approach. Interestingly, nanovesicles have exhibited long plasma circulation and appreciable tumour specific binding, which is largely suggestive of their biomimetic properties. Many pioneer studies have demonstrated their ability to encapsulate different chemotherapeutic agents and photosensitizers of varied chemical complexities, and releasing them in a triggered fashion. Additionally, the novel NPs system has been developed for cancer immunotherapy. The review discusses some of the important research and applications of cellular membrane derived nanovesicles for different forms of cancer therapy and their potential to be developed as personalized nanomedicine.
Geophysical‐Geochemical Modeling of Deep Crustal Compositions: Examples of Continental Crust in Typical Tectonic Settings and North China Craton

The chemical composition of the deep continental crust is key to understanding the formation and evolution of the continental crust. Constraining the chemical composition of present‐day deep continental crust is, however, limited by indirect accessibility. This paper presents a modeling method for constraining deep crustal chemical structures from observed crustal seismic structures. We compiled a set of published composition models for the continental crust to construct functional relationships between seismic wave speed and major oxide content in the crust. Phase equilibria and compressional wave speeds (VP) for each composition model were calculated over a range of depths and temperatures of the deep crust. For conditions within the alpha(α)‐quartz stability field, robust functional relationships were obtained between VP and major oxide contents of the crust. Based on these relationships, observed VP of the deep crust can be inverted to chemical compositions for regions with given geotherms. We provide a MATLAB code for this process (CalcCrustComp). We apply this method to constrain compositions from deep crustal VP of global typical tectonic settings and the North China Craton (NCC). Our modeling results suggest that the lower crust in subduction‐related and rifting‐related tectonic settings may be more mafic than platforms/shields and orogens. The low VP signature in the deep crust of the NCC can be explained by intermediate crustal compositions, higher water contents, and/or higher temperatures. The chemical structure obtained by this method can serve as a reference model to further identify deep crustal features.
China's Climb of Regional Value Chain under the Framework of RCEP: Based on the Perspective of Value-added in Trade

: Based on the perspective of value added in trade, we analyze the commodity trade between China and RCEP member countries from the perspectives of domestic value added and foreign value added, and measures the participation index and status index of 15 member countries in the global value chain and RCEP regional value chain. To explore ways for China to build RCEP regional value chains to break the "low-end lock-in" in global value chains. The results show that: (1) Trade between China and RCEP members is increasingly close and China is in a dominant position. (2) China's position in the RCEP regional value chain is higher than its position in the global value chain. Building RCEP regional value chains will help China enhance its competitiveness in the medium and high-end sectors.
Exploring the Mechanism of “Fangyifang” in the Prevention of COVID-19 based on Network Pharmacology and Molecular Docking

The novel coronavirus pneumonia (COVID-19) outbreak at the end of 2019 has continuously raged all around the world. Existing research has suggested that Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) comprises single stranded positive strand RNA 1, which is easy to invade the respiratory and digestive systems of the body, thus causing several disease symptoms. More asymptomatic infections were identified with the deepening of research and the further optimization of detection technology 2. As of 2022, over 6 million people have died worldwide. SARS-COV-2 has exerted significant adverse effects on social and economic development and the lives of residents due to its high infectivity and pathogenicity.
Effective Algorithms for the Satisfiability of Quantifier-Free Formulas Over Linear Real and Integer Arithmetic

A core technique of modern tools for formally reasoning about computing systems is generating and dispatching queries to automated theorem provers, including Satisfiability Modulo Theories (SMT) provers. SMT provers aim at the tight integration of decision procedures for propositional satisfiability and decision procedures for fixed first-order theories – known as theory solvers. This thesis presents several advancements in the design and implementation of theory solvers for quantifier-free linear real, integer, and mixed integer and real arithmetic. These are implemented within the SMT system CVC4. We begin by formally describing the Satisfiability Modulo Theories problem and the role of theory solvers within CVC4. We discuss known techniques for building solvers for quantifier-free linear real, integer, and mixed integer and real arithmetic around the Simplex for SMT algorithm. We give several small improvements to theory solvers using this algorithm and describe the implementation and theory of this algorithm in detail. To extend the class of problems that the theory solver can robustly support, we borrow and adapt several techniques from linear programming (LP) and mixed integer programming (MIP) solvers which come from the tradition of optimization. We propose a new decision procedure for quantifier-free linear real arithmetic that replaces the Simplex for SMT algorithm with a variant of the Simplex algorithm that performs a form of optimization – minimizing the sum of infeasibilties. In this thesis, we additionally describe techniques for leveraging LP and MIP solvers to improve the performance of SMT solvers without compromising correctness. Previous efforts to leverage such solvers in the context of SMT have concluded that in addition to being potentially unsound, such solvers are too heavyweight to compete in the context of SMT. We present an empirical comparison against other state-of-theart SMT tools to demonstrate the effectiveness of the proposed solutions.
Validated computation tool for the Perron-Frobenius eigenvalues

A matrix with non-negative entries has a special eigenvalue, the so called Perron-Frobenius eigenvalue, which plays an important role in several fields of science [1]. In this paper we present a numerical tool to compute rigorous upper and lower bounds for the Perron-Frobenius eigenvalue of non-negative matrices. The idea is to express a non-negative matrix in terms of a directed graph, and make use of R. Tarjan’s algorithm [5] which finds all strongly connected components of a directed graph very efficiently. This enables us to decompose the original matrix into irreducible components (possibly of small size), and then to enclose the aimed Perron-Frobenius eigenvalue. We also show a numerical example which demonstrates the efficiency of our tool.
Identification of Iran's rainy season and its relation to some spatial features

Identifying the rainy season (RS) is significantly important from the meteorological, hydrological and socio‐economic points of view. In the current study, the climatology of Iran's RS was identified based on developing a definition by mainly relying on examining daily rainfall observations from 2188 stations in the period of January 1, 1971–December 31, 2015 (45 years). Accordingly, it was revealed that at most two RSs could be distinguished in Iran; and there was a widespread rainy season (WRS) covering the entire country in three consecutive months (phases). In the northwest of the country, the Alborz Mountain chains, and in the southeast of Iran, the RS was mainly interrupted by a dry season. Therefore, two RSs occurred in these areas (widespread and regional rainy seasons [RRS]). The four withdrawal phases of the RS were relatively different on the regional scales. However, they generally showed a relation with latitudes. Unlike the onset date of phases of the RS, these phases did not occur at the same intervals. The diversity of spatial factors in Iran (including geographic coordination, topographic features and sea surface temperature of surrounding seas) caused the spatial diversity of the timing of the RS. Consequently, linear relationships could not illustrate the nature of the spatial pattern of this diversity. The linear spatial relationship was statistically significant only for the onset date of the RS. The regression model used in the present study showed that despite the effect of local factors on the onset date of the RS, the major regional differences could be attributed to systems and mechanisms that probably affected the onset date of the RS from outside of the country.
ON A GENERALIZED TZITZEICA EQUATION

Extending the so called coupled KP hierarchy to negative time flows one obtains coupled Toda-type equations defined on a two-dimensional lattice. These equations allow for reductions to 1+1 dimensional integrable systems that are defined on a finite part of this lattice. A system of coupled Hirota bilinear equations, obtained from such a reduction and defined on only 5 points of the lattice, will be shown to correspond to a coupling of a Tzitzeica equation to two linear equations. The Lax representation of this system is also presented.
IMPLEMENTATION OF DOUBLE MINI-BETA OPTICS AT THE DIAMOND LIGHT SOURCE

We report the results of the implementation of two vertical mini-beta and horizontally focussing optics at the Diamond light source, the first in August 2010 and the second in March 2011. Commissioning results of the two optics changes and the experimental characterization of the optics are compared with the expected performance and theoretical modelling. The implications of a possible third customised optics are also investigated.
Diagnosis, Treatment, and Prevention of Acute-on-Chronic Liver Failure with Bacterial Infections

: Acute-on-chronic liver failure (ACLF) is a syndrome that can lead to severe dysfunction and decompensation of liver synthesis, metabolism, detoxification, and biotransformation. ACLF with bacterial infections can lead to making the disease worse and increasing short-term mortality. However, the clinical manifestations of patients are not typical and the waiting time for bacterial culture is long. Finding reliable early diagnostic indicators, starting effective treatment, and giving timely preventive measures can reduce the mortality of patients and improve the clinical prognosis. This article describes the mechanism of acute-on-chronic liver failure with bacterial infections, summarizes its early diagnostic indicators, and reviews the treatment and prevention methods.
The mlbench Package

as.data. frame.mlbench . 2 bayesclass . 3 BostonHousing . 3 BreastCancer . 4 DNA . 6 Glass . 7 HouseVotes84 . 8 Ionosphere . 9 LetterRecognition . 10 mlbench.2dnormals . 11 mlbench.cassini . 12 mlbench.circle . 12 mlbench.corners . 13 mlbench.cuboids . 14 mlbench.friedman1 . 14 mlbench.friedman2 . 15 mlbench.friedman3 . 16 mlbench.peak . 17 mlbench.ringnorm . 17
Ultrafast gain recovery and large nonlinear optical response in submonolayer quantum dots

Submonolayer quantum dots combine the zero-dimensional charge-carrier confinement of self-assembled quantum dots with the large density of states of a quantum well. Electroluminescence and pump-probe experiments on a submonolayer-based optical amplifier show that the system exhibits a high gain of $90{\mathrm{cm}}^{\ensuremath{-}1}$ and an ultrafast gain recovery. We propose a rate equation system describing the microscopic carrier dynamics which quantitatively reproduces the observed behavior and provides deeper theoretical understanding of the material system. In contrast to Stranski-Krastanov quantum dots, the fast gain recovery is enhanced by a strong interdot coupling. Optically inactive submonolayer states form an efficient carrier reservoir and give rise to a large nonlinear optical response.
The shape recognition based on structure moment invariants 1

Object shape comparability is a challenging problem in the field of pattern recognition and computer vision. The method based on the geometric moment invariants is the typical method in these applications. This paper introduces structure moment invariants based on the geometric moment invariants from transforming the density in geometric moments into a new density. The difference in the shapes is increased by using the structure moment invariants. Therefore, this method can be used in object shape analysis. To support our new theory , an algorithm for object shape analysis is designed and experiments based on square transform are conducted. Experiments give an encouraging high recognition rate by using the structure moment invariants.
Interpretation of Ethics in DeLillo’s Fiction

: As a postmodern novelist who emphasizes conscience and responsibility of writers, Don DeLillo, with his postmodern writing techniques, profoundly reveals the politics, economy, technologies, mass media, terrorism and the living conditions of the people in the post-industrial American society. Taking the perspective of ethics as the breakthrough point, this essay analyzes the imbalanced ethical relationships between man and nature, man and society, and man and himself in postmodern American society reflected in White Noise, Libra, Cosmopolis, Falling Man as well as DeLillo’s thought of ethical care and ethical salvation. He posits that man, as an ethical subject, should return to his humanity as a human being in order to face the imbalanced relationships in this postmodern society and apply the goodness and love in human nature to solve the ethical problems of the postmodern era.
Features of Rossby Wave Propagation Associated with the Evolution of Summertime Blocking Highs with Different Configurations over Northeast Asia

AbstractThis study categorized blocking high (BH) episodes during the boreal summer in northeast Asia (40°–70°N, 100°–150°E) into four types according to their wave-breaking features at the dynamic tropopause on the initial day: anticyclonic warm, cyclonic warm, anticyclonic cold, and cyclonic cold. Based on the results of a statistical analysis, it was shown that 1) the anticyclonic-warm type tended to occur in eastern Russia (55°–70°N, 127.5°–142.5°E), whereas the other three types preferentially occurred in the vicinity of Lake Baikal; 2) the two cold types generally were more common than the two warm types; and 3) the average life spans of the two anticyclonic types were longer than those of the two cyclonic types. According to a composite analysis, the four BH types were preceded by different wave train–like anomalies over the Eurasian continent over approximately one week. Correspondingly, each BH type was characterized by distinct Rossby wave propagation features. Interestingly, a northeastward pro.
Comparing the ARIMA and LSTM Models on the Stock Price of FinTech Companies

: FinTech companies have emerged as a new force in the financial industry in recent years. Their innovative business models, high growth performance, and broad market prospects have attracted the attention and pursuit of numerous investors. Therefore, predicting the future trend of FinTech company stocks is significant for investors. This paper selects PayPal as the prediction target, collects the closing prices from 2018 to 2023, and uses the Auto-regressive Integrated Moving Average Model (ARIMA) and Long Short-Term Memory (LSTM) to compare the accuracy of the prediction results and select the optimal prediction model. Empirical results show that both the ARIMA and the LSTM models have specific effects in predicting the stock prices of the FinTech industry, with the LSTM model having higher prediction accuracy than the ARIMA model. However, it should be noted that stock price prediction is not entirely accurate but based on historical data and market trends. Therefore, when making investment decisions, it is necessary to consider various factors comprehensively and make scientific investment decisions to achieve better investment returns.