Miracle-dz/UniFAR-FTUs huggingface dataset:
The New Thinking of the SMEs Transformation and Upgrading in Shaanxi Province : from the Internet Finance Perspective

On the basis of defining the connotation of the transformation and upgrading of small and medium-sized enterprises (SMEs), combining with the practice of the SMEs transformation and upgrading in Shaanxi province, with the intention of solving financing demand in the process of transformation and upgrading of SMEs, this paper analyzes emphatically four common transformation and upgrading connotations of the and its financing demand characteristics including management transformation, business model transformation, industry transformation and enterprise upgrading for SMEs in Shaanxi province, and discusses the characteristics and advantages of Internet finance means including P2P (Peer to Peer) lending, crowd funding and e-commerce finance when solving the problem of the financing demand and proposes a feasible strategy for the bottle-neck of financing from a new perspective. Based on this analysis, this paper further proposes the policy advice of making full use of Internet finance as means, and combing SMEs, Internet finance enterprises and government working together to promote the transformation and upgrading of SMEs.
UNCERTAINTIES IN TRENDS OF THE INDO-PACIFIC WALKER CIRCULATION

E xisting records of upper-ocean temperature exhibit clear fluctuations at time scales ranging from one to a few decades, which for simplicity we refer collectively to as “decadal variability” in this paper1 (see Fig. 1). This variability includes a rising trend since the 1960s, which is attributed to anthropogenic greenhouse gas forcing, with about 90% of the excess heat input in the climate system stored in the ocean (Levitus et al. 2012). Overlying this trend are decadal fluctuations, part of which may be caused by natural external forcing, such as volcanic eruptions and variability in solar forcing (e.g., Domingues et al. 2008), and part of which is due to natural internal variability (e.g., Meehl et al. 1998; Alexander 2010; Liu 2012). In view of society’s need for adapting to climate variability and change, understanding and predicting climate on decadal time scales emerge as pressing priorities in climate research today (Goddard et al. 2009; Hurrell et al. 2009; Meehl et al. 2009; Pohlmann et al. 2009; Doblas-Reyes et al. 2011). Preliminary
Analysis using Naı̈ve Bayes Classifier with Mutual Information Feature Selection

Sentiment analysis is an identification technique of emotion expressed in texts. The sentiment analysis goal is to determine a negative or positive opinion within a sentence or a document. Twitter is one of social medias to convey an opinion. The Twitter allows its users to write opinions related to a specific topic in a tweet. The Twitter data used in this research was downloaded using the Twitter Application Programming Interface (API). It consists 500 tweets about Lombok tourism that contained #lombok and #woderfullombok hashtags. We selected the features extracted from the Twitter data using the Mutual Information (MI) method and analyzed them using the Naı̈ve Bayes Classifier model. The evaluation of sentiment analysis on the Lombok tourism Twitter data in a 10-folds cross validation resulted 97.9% accuracy.
A Web-Based Compiling Environment for High-Performance Parallel Computing

This report proposed an integrated project lasting for three years. The purpose of this integrated project is to design and implement a web-based compiling environment for highperformance parallel computing. In order to alleviate the overhead of writing parallel programs and develop high-performance parallel programs, we hope the environment can provide programmers and/or researchers a user-friendly and highperformance parallel programming environment. One of the advantages of the environment is platform-independent. Due to this advantage, the environment can provide wide-ranging users to use this environment and further improve their work performance. This environment allows a sequential program (FORTRAN programs) as the input. By the user-interface constructed under WWW, users can use a browser to input the sequential program. The input program will be sent to a parallel compiling server and be compiled. SUIF compiler system will preprocess the input program and generate an abstract syntax tree. According to the abstract syntax tree, we will figure out an appropriate data distribution for the input program after static and dynamic data distribution analyses. Based on the data distribution, we will first calculate the necessary communication sets and then generate the SPMD program. To improve the performance of the SPMD program, we further optimize the data locality to increase the access of cache memory and local memory. After that, the virtual processors will be mapped to physical processors according to the topology of the physical processors and communication weights among physical processors. Machine-dependent communication optimization is also done in this phase. Finally, we link the communication library to generate the C+PVM/MPI or Java+PVM/MPI code according to the parallel
FACTORS ASSOCIATED WITH ADHERENCE AMONG INDIVIDUALS WITH DIABETES MELLITUS : A LITERATURE

Background: Diabetes Mellitus (DM) is a condition that is characterised by an increase in the blood glycaemic level due to insufficient and defective insulin action in the body. The aim of this review was to examine the factors associated with adherence among individuals with DM. Method: A literature review was conducted on published work related to the factors associated with adherence among individuals with DM by searching online databases. Results: A total of 23 published studies that focused on the adherence to anti-diabetes drugs were reviewed. Fifteen cross-sectional studies identified several factors that were significantly associated with adherence, such as gender female (n=5), age (n=2), educational level (n=6), financial status (n=4), and knowledge or information about diabetes (n=4). Qualitative studies reported that family support and system-level facilitators were associated with adherence to the management of diabetes. Conclusion: It is suggested that diabetes education plays an important role in adherence. Health care professional should focus on the educational interventions to increase adherence to treatment.
Application of Principal Component Analysis in Teaching Evaluation

Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is to reduce the dimension of the observations and thus simplify the analysis and interpretation of data, as well as facilitate the construction of predictive models. In this paper, principal component analysis is used to analyze the indicators of teachers’ teaching ability, calculate the scores of each teacher in each principal component and comprehensive scores by using SPSS. It realizes the comprehensive ranking of teachers’ teaching evaluation, thus providing quantitative basis for each link of teachers’ teaching evaluation.
jmbReview Proteolytic System of Streptococcus thermophilus

The proteolytic system of lactic acid bacteria (LAB) has been extensively studied using genetic and biochemical methods. Recently, research has been focused on the production of bioactive peptides by specific action of the proteolytic system over milk proteins during its fermentation [1, 2]. In addition, several studies have been carried out in order to prove that the proteolytic systems of lactococci and lactobacilli hold a close relation [3, 4], while the proteolytic system of Streptococcus thermophilus presents other characteristics that makes it necessary to study it separately. The sequence of proteolytic reactions that occurs during streptococci as well as for lactococci and lactobacilli growth in milk is triggered by the action of extracellular endopeptidases. These proteinases release peptides derived from different caseins, which are natural substrate for intracellular peptidases that convert them into smaller peptides or, in case of an extent of hydrolysis, into amino acids. In general, the proteolytic system consists of serial chained reactions (Fig. 1), that are started by a serine proteinase proline-specific, linked to the cell wall; followed by the specific transport of dipeptides, tripeptides and oligopeptides, and finally, by the action of a countless number of intracellular peptidases and aminopeptidases [1, 5]. It has been clearly stated that many lactic acid bacteria are multi-auxotrophic for amino acids [6, 7]. These requirements Received: July 10, 2018 Revised: August 21, 2018 Accepted: August 27, 2018
BADAN PENELITIAN DAN PENGEMBANGAN (BPP) KEMENTERIAN DALAM NEGERI

The population growth of a city from time to time experiences rapid development. This situation leads to socio-economic and cultural changes and have an impact on their interactions with other cities and the surrounding area. The rise of economic growth in big cities has made the pace of city development faster, making housing demand higher. That way, land use is increasingly competitive. The problem then creates a slum area. The challenges and obstacles that will be faced in the effort to deal with slums are the unavailability of accurate data and information in each region, which can inform the slums that can be adequately handled. For this reason, the purpose of this research is to �ind out the governance of urban slums. The research used is descriptive qualitative and uses AHP Method. The results of the study reveal several slum typologies such as the concept of rigid environmental structuring, lack of drinking water supplies, etc. The research also discusses government practices, as well as prevention of slum areas in urban areas. This research concludes the need for accurate database and information in each region to deal with slum areas in the city, as well as accurate information about handling the slums.
Dengue and Thrombotic Thrombocytopenic Purpura

Indian Journal of Critical Care Medicine ¦ Volume 21 ¦ Issue 8 ¦ August 2017 540 AlP is a highly toxic fumigant, which is unfortunately easily available in Iran and some other developing countries and has no effective antidote. [2] It seems that the main cause of mortality in AlP poisoning is cardiogenic shock due to toxic myocarditis. [3,4] Moreover, previously approved that deleterious effect of AlP on heart can be attributed to oxidative stress. Thus, it seems that antioxidant therapy by N‐acetyl cysteine (NAC) may have an effective role in AlP‐induced toxicity. [2,3]
Lagrangian Relaxation of Large-scale Congestion Management using Extended Subgradient Methods

Modeling a high amount of decentralized flexibility options within the congestion management simulation of transmission grids leads to a significant increase in the complexity of the resulting optimization problem. For this purpose, this paper presents a decomposition approach of a congestion management model using the Lagrangian relaxation method in combination with the volume algorithm to find a reliable primal solution. The decomposed model is applied to a benchmark case, and the results are validated by comparison to the closed solution. Therefore, a comparison of the primal objective function value and locational marginal prices for redispatch derived from shadow prices of system coupling constraints occurs. It can be observed that the shadow prices are matched with very high precision, thus validating the approach.
Elastic energy and line directions of grown-in dislocations in KDP crystals

The orientation factor, K, of elastic dislocation energy is calculated for dislocations in KDP (space group I42d) with Burgers vectors b = 〈100〉, [001], 〈110〉, 〈011〉, and 1/2〈111〉. As a result of elastic anisotropy, for dislocations with b = 〈110〉, K has an absolute maximum in pure screw orientation. The preferred line directions characterized by a minimum elastic energy per unit growth length, W, are calculated for nine types of dislocations in (011) and (010) growth sectors; seven of them are identified by X-ray topography. The agreement of observed and calculated line directions is satisfactory except for dislocations with b = [011] in the (011) growth sector. Because of W having a very weak minimum in this case, it is suggested that the position that the position of these dislocations is influenced by a variation of dislocation core energy with direction that has been neglected in the calculations.
ERIA-DP-2018-20 ERIA Discussion Paper Series Exporter Dynamics and Productivity Dispersion within Industry *

This paper uses firm-level panel data for Japan to examine between-firm productivity dispersion, and explore whether export market entry improves productivity and accelerates productivity catch-up by new exporters in relation to frontier firms. Even though a sizable number of firms start exporting every year, this paper’s results show that, on average, these new exporters’ productivity growth rates tends to deteriorate after export market entry. The results also imply that in the case of Japan the sluggish productivity growth experienced by almost all firms may be attributable to the very low or even negative productivity growth of national frontier firms or top exporters.
Prognostic Value of Soluble ST 2 ( sST 2 ) Serum Level in Congenital Heart Disease Children with Heart Failure

Background Heart failure (HF) in infants and children with congenital heart disease (CHD) is a crucial complication with different outcomes. Many biomarkers are used as prognostic indicators. Soluble ST2 (sST2) is one of these markers studied in adults with HF. We aimed to study the prognostic value of sST2 in CHD children with HF. Materials and Methods In current case-control study, thirty-six CHD infants and children with HF (20 males and 16 females) with mean age of 20.3±11.2 months were included in this study. Another 20 (12 males and 8 females) healthy children with mean age of 20.9±9.1 months served as controls. Clinical evaluation, echocardiography and sST2 levels assessment were done for all subjects. Results Our results showed that sST levels were significantly higher in diseased group than controls (30.85±2.48 ng/ml vs. 22.12±1.50ng/ml, respectively), and we recorded higher levels in more severely diseased children, according to Ross clinical classification and in those with poor prognosis than those with good prognosis. ROC curve for sST2 levels in diseased group showed that at cutoff point of more than 29.8 ng/ml, sensitivity of sST2 to predict poor prognosis of HF children was 95% with a specificity of 88%. Area under the curve (AUC) was 0.94. We found significant negative correlations between sST2 levels, and left ventricular ejection fraction (LVEF), and fractional shortening (LVFS), and significant positive correlations with heart rate (HR) respiratory rate (RR), cardio-thorathic (CT) ratio, left ventricular end diastolic, and systolic dimensions (LVEDd and LVESd). Conclusion Increased sST2 levels in infants with CHD complicated with HF can be used as a good predictive indicator to unfavorable outcome in those patients.
Artigo Técnico O grupo metóxi do ácido 4O-metil-glucurônico é fundamental para a formação de ácido hexenurônico durante a polpação kraft The methoxy group of 4O-methyl-glucuronic acid is central for the formation of hexenuronic acid during kraft pulping

Hexenuronic acid is created from 4-O-methyl glucuronic acid – a side chain group in xylan, and one of the most important hemicelluloses in both hardwood and softwood during alkaline conditions, such as kraft pulping. Especially in hardwood kraft pulp, hexenuronic acid corresponds to a large part of the kappa number, and the presence of this component in bleached pulp causes post yellowing. In this work it is shown that glucuronic acid that lacks a methoxy group on the 4-carbon does not form hexenuronic acid under alkaline condition to the same extent as 4-Omethylglucuronic acid. This opens up novel strategies for genetic modification of the hemicellulose structures in wood cultivated for kraft pulping.
Low Energy Consumption and Data Redundancy Approach of Wireless Sensor Networks with Bigdata ITC

To reduce the data redundancy and energy consumption caused by the explosive growth of data in wireless sensor networks, this paper presents a node data image based mean filtering algorithm. In the provided approach, the nodes are divided into active and de-active nodes to eliminate the data of the sleep nodes and data redundancy. The nodes of wireless sensor network are clustered, and the data obtained from the sensor network are modeled. Simulatio results show that the proposed algorithm is more effective than that of k-medoids, which can reduce the redundant data. Moreover, it reduces the energy consumption, and improves the life cycle of wireless sensor networks.
NUMERICAL SIMULATIONS OF THE ADRIATIC SEA AUTUMN CIRCULATION

This study presents the results of numerical simula tions of the climatological Adriatic Sea circulation during the autumn. The simulations are carried out using the DieCAST ocean model. The sensitivity of the model circulation to the different mechanical forcing is studied. The main A driatic Sea circulation features are simulated properly. It is shown that during the aut umn the wind forcing is of crucial importance only for the formation of the northern A driatic circulation, whereas the thermohaline circulation is found to be more import ant over the rest of the basin. Numerical experiments show that the model is able t o simulate well the outflow current through Otranto channel.
Development of a Solar Electric Propulsion System for the First Brazilian Deep Space Mission IEPC-2017-166

The exploration of small bodies in the Solar System with spacecraft has been done by several countries with increasing frequency in these past twenty five years. Since their historical beginning on the sixties, most of the Solar System missions were based on gravity assisted trajectories that very much depended on planet orbit positioning relative to the Sun and the Earth. The consequence is usually the increasing of the time interval between the launch windows. Today, the need for Solar System in situ exploration requires less dependence on gravity assisted maneuvering and new high precision low thrust navigation methods. The main difficulty to reach these minor bodies is related to their specific orbits with high eccentricity and inclination. A good example is the case for sample return missions to NEOs – Near Earth Objects. They are small bodies consisting of primitive left over building blocks of the Solar System formation process. These missions can be accomplished by using low thrust trajectories with spacecraft’s propelled by plasma thrusters with total thrust below 0.5 N, and specific impulse around 2500 s. In this work, we will show the Brazilian contribution to the development of electrical propulsion engines foreseen to be used in future low thrust trajectory missions to a near Earth triple asteroid system.
Disentangling processes driving freshwater diatoms biogeography : a multiscale approach

Standard set statement from the publisher: "This is the peer reviewed version of the following article: Keck F, Franc A, Kahlert M. Disentangling the processes driving the biogeography offreshwater diatoms: A multiscale approach. J Biogeogr. 2018;45:1582–1592, which has been published in final form at https://doi.org/10.1111/jbi.13239 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. "
1 Robust stability conditions for polytopic systems

The paper provides survey of some recent robust stability conditions, their mutual comparison, and presents new robust stability conditions for continuousand discrete-time systems with convex polytopic uncertainty. Robust stability analysis is based on LMI conditions and parameter-dependent Lyapunov functions. The developed stability conditions are appropriate for output feedback design. Numerical examples thoroughly illustrate power of the considered robust stability analysis methods and show which of them provides the less conservative results.
What are the Main Determinants for Companies to Behave in a Sustainable Way ?-A comparative

Using a novel dataset collected from a web survey sent out to Swedish large companies, this thesis examines whether institutional factors or basic economic factors are the main determinants for companies’ level of sustainability work. This is done through studying a company’s level of corporate sustainability in relation to their self-perceived determinants. OLS analysis is used to estimate the parameters. The results indicate that the institutional factors have a stronger positive relationship with the level of corporate sustainability than the basic economic factors. This raises important questions and addresses the need for further research on corresponding time-related effects as well as complementary empirical studies with a different
How coaching helps leadership resilience: The leadership perspective

Resilience has grown as a topic of interest to coaches and increases in resilience as a result of specific coaching programmes are often reported (Grant, Curtayne & Burton, 2009). However, the perspective of the coached leaders has remained largely unexplored. This study seeks to gain the leadership perspective on two key areas. Firstly to assess if existing coaching might already be affecting resilience, despite that not being a contracted objective. Secondly, to identify what aspects of coaching might be most influential in leadership resilience.The study was positioned in the pragmatic paradigm using a grounded theory approach (Charmaz, 2006). Interview data was gathered from eight senior managers who had previously had coaching. Analysis was based on the grounded theory coding approach using NVivo software.Eight leaders volunteered to be interviewed on the topic of resilience and had to have completed a programme of coaching at least one year prior to data collection. Semi-structured face-to-face interviews asked about the coaching that they had received and if they felt it had affected their resilience.The results indicated that leaders did perceive coaching to have affected their resilience, even if this was not a defined objective for the coaching. In addition leaders reported that coaching helped in five ways. It helped them reclaim their self-belief, it contributed to their learning, it helped them see the wider perspective, it provided a supportive relationship and gave them a thinking space.Leaders often came to coaching as the result of facing a challenge and experienced significant experiential learning in relation to their resilience as a by product of coaching. While the development of certain cognitive strategies proved helpful, participants expressed the importance of the supportive coaching relationship during times of challenge where resilience was required. This questions how far resilience can be enhanced as a proactive preventative approach through training. Recommendations are made to support coaches when dealing with leaders in a resilience context.