Miracle-dz/UniFAR-FTUs huggingface dataset:
Periodic boundary value problem for the graph differential equation and the matrix differential equation

A network can be represented by graph which is isomorphic to its adjacency matrix. Thus the analysis of networks involving rate of change with respect to time reduces to the study of graph differential equations and its associated matrix differential equations. In this paper we develop monotone iterative technique for graph differential equations and its associated matrix differential equations using Periodic boundary value problem.
Portable BizTalk solutions

This report evaluates possible infrastructures to create portable BizTalk solutions. BizTalk is an integration based software mostly used at larger companies. Errors can occur in BizTalk and experts need an easy and portable solution to identify these. No such solution exists today, and this report focuses on how it could be performed. The results show that various tools need to be used to access information from BizTalk. Information about BizTalk must be protected by access rights, which are preferably controlled from a cloud portal. The cloud portal used in this project is Windows Azure, but other solutions have been considered. Azure has a specialized service to access secure locations, which other provider’s lack. Finally, a prototype application in Windows Phone 8 was developed. The solution has been shown to BizTalk experts, who were enthusiastic by the proposed solution and has proceeded with the project. They are currently analyzing what it would cost to develop a product and what could be charged for such a service.
A NOVEL MUSIC BEAT DETECTION ALGORITHM BASED ON PERIODICITY OF ENERGY FLUX

Tapping our feet to the rhythm of a song comes naturally and appears easy. However, designing an algorithm to automatically detect beats in an audio signal is a challenging problem whose solution can potentially enable a world of exciting applications. In this paper, we propose a novel algorithm to detect musical beats using an important characteristic of beats – the presence of regularly spaced time instants characterized by a strong energy flux. Preliminary experimental results indicate that the beat locations detected automatically by using the proposed algorithm strongly correlate with locations discovered manually in music containing a strong bass component.
Therapeutic response to complex cognitive-behavioral and pharmacological treatment in patients with social phobia

INTRODUCTION: Many different approaches were created and used in the treatment of patients with social phobia, still, the pharmacoresistancy is an important problem. Exact predictors of the therapeutic response are not known yet. The aim of our study was to prove the efficacy of our treatment program and identify predictors of therapeutic response to complex pharmacotherapeutical and cognitive behavioral treatment in pharmacoresistant patients. METHODS: We analyzed data for 50 probands diagno sed with social phobia hospitalized in the psychotherapeutical department of Department of Psychiatry, University Hospital Olomouc. We investigated basic demographic data (age, disease duration, age of onset), index of used antidepressant and scores of main rating scales (LSAS, CGI, BAI, BDI, DES a DES-T). We also evaluated an influence of personality disorders. RESULTS: There was an statistically significant decrease in symptomatology in all rating scales during the treatment. Change in LSAS (rat io of initial to last measured score) positively correlated only with age of onset of the disorder. Level of dissociation measured by DES correlated with initial BAI score, in the case of DES-T with initial BAI and BDI. We proved statistically significant differences in the initial BAI score when splitting the group into responders and non-responders by final CGI. There was no statistically significant result if we concentrate on influence of personality disorders. CONCLUSIONS: In our study we proved efficacy complex therapeutical program in the treatment of pharmacoresistant patients with social phobia.
Metformin Ameliorates Senescence of Adipose-Derived Mesenchymal Stem Cells and Attenuates Osteoarthritis Progression via the AMPK-Dependent Autophagy Pathway

Osteoarthritis (OA) is one of the most serious age-related diseases worldwide that drastically affects the quality of life of patients. Despite advancements in the treatment of arthritis, especially with adipose-derived mesenchymal stem cells (ADSCs), senescence-induced alterations in ADSCs negatively affect the treatment outcomes. This study was aimed at mechanistically exploring whether metformin could ameliorate the senescence of ADSCs and at exploring the effect of metformin-preconditioned ADSCs in an experimental OA mouse model. In this study, an H2O2-induced mouse ADSC senescent model was established. Cell proliferation, senescence, and autophagy were investigated in vitro. Moreover, the effects of intra-articular injection of metformin-preconditioned ADSCs were investigated in vivo. Metformin could promote autophagy and activate the AMPK/mTOR pathway in ADSCs. The metformin-enhanced autophagy could improve the survival and reduce the senescence of ADSCs. The protective effects of metformin against senescence were partially blocked by 3-methyladenine and compound C. Injection of metformin-preconditioned ADSCs slowed OA progression and reduced OA pain in mice. The results suggest that metformin activates the AMPK/mTOR-dependent autophagy pathway in ADSCs against H2O2-induced senescence, while metformin-preconditioned ADSCs can potentially inhibit OA progression.
A Study on the Educational Model of Information Literacy in China

[Purpose/Significance]Based an analysis of the evaluation index system of information literacy education in Chinese universities, this paper aims to provide theoretical Reference for Information literacy Education [Method/Process] This paper analyzes the status quo of domestic and foreign information literacy education and the current situation of research [Result/Conclusion] This paper constructs the evaluation index system of information literacy education in colleges and universities from five aspects: Educational subject, educational object, educational form, educational content and educational effect.
On the terms violating the custodial symmetry in multi-Higgs-doublet models

We prove that a generic multi-Higgs-doublet model (NHDM) must generally contain terms in the potential that violate custodial symmetry. This is done by showing that the O(4) violating terms of the NHDM potential cannot be excluded by imposing a symmetry on the NHDM Lagrangian. Hence we expect higher-order corrections to necessarily introduce such terms. We also note, in the case of custodially symmetric Higgs–quark couplings, that vacuum alignment will lead to up–down mass degeneration; this is not true if the vacua are not aligned.
AN ANALYSIS OF SOCIAL ACTIVITY INFLUENCES IN ONLINE VIRTUAL WORLDS

Online game is a trendy application in social networks which gets more players’ attractions nowadays than traditional PC game, which does not include social interactions. Existing study in social networks focused on discovering the influencers coupled with influence diffusion, this paper identifies the activity which may increase player’s personal influence in the networks. In our research, an online virtual world named RooMi in Taiwan is applied to be investigated (1) whether a player increases his/her influence by hosting a public activity, and (2) the most important public activity that increases most influence by different kinds of players. This analysis result on influential activities in the virtual worlds can be a mirror to reflect the real world, which data is hard to be accessed and simulated.
A pr 2 01 8 N = 4 supersymmetric mechanics on curved spaces

We present N=4 supersymmetric mechanics on n-dimensional Riemannian manifolds constructed within the Hamiltonian approach. The structure functions entering the supercharges and the Hamiltonian obey modified covariant constancy equations as well as modified Witten–Dijkgraaf–Verlinde–Verlinde equations specified by the presence of the manifold’s curvature tensor. Solutions of original Witten–Dijkgraaf–Verlinde–Verlinde equations and related prepotentials defining N=4 superconformal mechanics in flat space can be lifted to so(n)-invariant Riemannian manifolds. For the Hamiltonian this lift generates an additional potential term which, on spheres and (two-sheeted) hyperboloids, becomes a Higgs-oscillator potential. In particular, the sum of n copies of one-dimensional conformal mechanics results in a specific superintegrable deformation of the Higgs oscillator.
DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

Prehospital emergency records contain much information about prehospital emergency patients. Extracting important patient information from many records has become the focus of all prehospital emergency personnel. The key to solving this problem is to achieve the automatic classification of prehospital emergency records. This study considers a deep learning-based prehospital emergency record classification model (DL-PER). The model uses a weighted text convolutional neural network to classify prehospital emergency records. First, we use prehospital emergency records to train a bi-directional encoder representation (BERT) model from the transformer. BERT obtains the word vectors. Then, we use a bi-directional long and short-term memory (BiLSTM) model to obtain text features from a global perspective. A weighted text convolutional neural network (WTextCNN) improves this model’s local text feature extraction capability. We used activation functions instead of ReLu activation functions to improve the learning ability of the model. We conducted experiments using prehospital emergency records provided by the Handan Emergency Center. The results showed that the DL-PER model improved the F1 scores by up to 5.7%, 6.8%, 5.7%, and 4.9% on the four data sets, respectively, compared with the BiLSTM model.
Sustainable investments: Women's contributions to natural resource management projects in Africa

Can prospects for improving livelihood security and building sustainable environments in Africa be increased if women have greater influence in decisions about how to manage resources? Anecdotal evidence suggests that this question should be answered in the affirmative, yet few development agencies perform systematic evaluations with gender-disaggregated data despite nearly two decades of development literature describing the pitfalls of failing to do so. This paper explores this question through analysis of cases from Kenya, Nigeria, Malawi, The Gambia, and Rwanda gleaned from a literature search of more than 50 natural resource management projects across Africa. It highlights enabling conditions which facilitate effective involvement of both men and women in natural resource management, and develops indicators to clarify progress in terms of impact, process, and sustainability.
Illumination Invariant Camera Localization Using Synthetic Images

Accurate camera localization is an essential part of tracking systems. However, localization results are greatly affected by illumination. Including data collected under various lighting conditions can improve the robustness of the localization algorithm to lighting variation. However, this is very tedious and time consuming. By using synthetic images, it is possible to easily accumulate a large variety of views under varying illumination and weather conditions. Despite continuously improving processing power and rendering algorithms, synthetic images do not perfectly match real images of the same scene, i.e., there exists a gap between real and synthetic images that also affects the accuracy of camera localization. To reduce the impact of this gap, we introduce “REal-to-Synthetic Transform (REST). ” REST is an autoencoder-like network that converts real features to their synthetic counterpart. The converted features can then be matched against the accumulated database for robust camera localization. Our results shows that REST improves matching accuracy by approximately 30%.
Particle resolved simulation of a 3D periodic Couette dense fluid-particle flow

Dense fluid-particle flow occurs in many industrial applications, such as fluidized bed technology. To model these flows, statistical approaches are developed and, since quite recently, particle resolved simulations may be used to support the validation and the development of models. The viscous penalty method is used here to track moving solid particles coupled with the Direct Numerical Simulation (DNS) of the interstitial fluid flow. Particle-particle collisions are taken into account by Discrete Element Method (DEM) as well as the lubrication forces. 3D direct numerical simulations have been carried out of a periodic Couette flow were performed for finite Stokes number and moderate Reynolds number values for dense flows ranging from 5 to 30%. The results show a particle accumulation - at the centre or at the wall- according to the Stokes number and particle volume fraction. The production, diffusive, collisional and fluid interaction terms are analyzed for the momentum equation and particle kinetic stress equation as well.
Content Validity and Scoring of Two Tier as Measuring Instrument of Science Process Skills for Knowledge Aspects in Chemistry Learning

Problems in chemistry learning related to the three levels, namely the macroscopic, sub-microscopic, and symbolic (representational) (Barke, 2009: 27). During chemistry learning, student’s abilities to understand the roles of each representation level and transfer to another level is an important aspect for produce an explanation that can be understood. The curriculum of 2013 mandates that the essence of a scientific approach to learns through the Science Process Skills. Two-tier used as an instrument for measuring knowledge aspect because its abilities to analyze the cognitive skills of the students. Through two-tier, students just not pick the answer on items but also provide a reason for the answers are chosen so the cognitive processes can be observed and measured. As an instrument to measure the Science Process Skills, the fulfillment validity of the content becomes important. This two-tier instrument has good content validity between 0.78 to 1.0. Therefore, the scoring system that used in the examination students’ answer sheets is important part of this instrument to analyze science process skills student.
Electrothermal Averaged Model of a Diode–IGBT Switch for a Fast Analysis of DC–DC Converters

In this article, an electrothermal model of a diode–insulated gate bipolar transistor switch for modeling dc–dc converters is proposed. The formulated model has the form of a subcircuit for the simulation program with integrated circuits emphasis (SPICE) program and enables computations of both electrical characteristics of the converter and junction temperatures of the semiconductor devices. The equations used in the formulated model allow modeling the operation of the converter in both continuous conduction mode and discontinuous conduction mode. The correctness of the formulated model is experimentally verified for the boost converter. Good accuracy of modeling the characteristics of the converter is obtained. A . cir file based on the formulated model for an analysis in the SPICE program is attached to the article as the active content.
Double Digit Economic Growth vs. Social Wellbeing in Ethiopia: A Cross-Country Comparison

Ethiopia has been reporting double digit economic growth rates over the last decade, while at the same time being ranked as one of the impoverished nations in the world. Despite the 11.0 percent average annual real GDP growth rate since 2004, the Oxford Poverty and Human Development Initiative consistently ranks Ethiopia among the bottom three nations based on Multidimensional Poverty Index (MPI). In this paper, we investigate whether the reported economic growth has enhanced the wellbeing of the ordinary people. To address this objective, we employ three strategies. First, we divide the last two and half decades into pre- and post-2004 years, based on when Ethiopia has started registering double digit growth, to enable us conduct a pre- and postdouble digit growth analyses. Second, we select other three countries also ranked as the poorest countries based on MPI, and compare their performances vis-a-vis Ethiopia using selected social welfare and human development indicators drawn from the World Development Indicators. Third, we use Johansen cointegration and Granger causality tests to examine the impact of economic growth on these social wellbeing measures. Our results show that one, the significant jump in economic growth is not matched by most of the social wellbeing measures. Two, there is no or little significant difference, in terms of these measures, between Ethiopia and the other impoverished countries that reported much slower economic growth than Ethiopia. Three, based on Johansen cointegration and Granger causality tests, we find no significant impact of the reported economic growth on the selected social wellbeing measures. In other words, there is no evidence of economic growth enhancing social wellbeing in Ethiopia. Keywords: real Gross Domestic Product; real GDP; real GDP per capita; economic growth; social wellbeing; Granger causality; cointegration; Ethiopia; Multidimensional Poverty Index; MPI
Comparison of remifentanil with esmolol to blunt the cardiovascular response to tracheal extubation in patients undergoing neurosurgical procedures for intracranial masses

Objective: To compare the efficacy of esmolol with remifentanil in maintaining haemodynamic stability at the end of a neurosurgical procedure and recovery stages and reducing the length of the recovery phase. Methods: The double-blind prospective randomised clinical trial was conducted at Imam Reza Hospital, Tabriz, Iran, from May 2010 to November 2011. It comprised 90 adult patients who were scheduled to undergo elective neurosurgery operations and were randomly divided into three groups receiving esmolol, remifentanil and placebo for 14 minutes. The intravenous infusion was started four minutes prior to extubation and continued for 10 minutes after extubation. SPSS 16 was used for statistical analysis. Results: There was a significant difference between the three groups regarding the changes of mean arterial pressure after extubation and five minutes after extubation (p<0.001 in all groups). The esmolol group compared with the placebo group and the remifentanil group compared with control group were of significant difference at all heart rate values after extubation (p<0.001 in all cases). A significant difference regarding SaO2 levels was observed between the remifentanil and esmolol groups 5 (p<0.01), 10 (p<0.01) and 15 minutes after extubation (p<0.005). Conclusion: Both esmolol and remifentanil can be used in preventing hyperdynamic status throughout the extubation phase without extending the recovery phase. However, due to more frequent respiratory suppression and prolonged extubation observed in the remifentanil group, its administration should be done with caution.
The Geographic Context of 'Personal Responsibility': The Spatiality of Employment & Welfare Receipt among Unmarried Urban Women

Writers of the United States’ punitive 1996 welfare reform law assumed that women receiving government assistance transfers simply lacked motivation. This assumption ignores the myriad of individual and spatial barriers to employment that women face. Yet existing literature usually ignores the neighbourhoods in which women live. This research fills the gap by analyzing the extent to which both individual barriers to employment (health, childcare responsibilities, etc.) and neighbourhood characteristics are associated with employment and AFDC use just before welfare reform. Using data from the Multi-City Study of Urban Inequality, analyses indicate the significance of several neighbourhood-level, contextual barriers to employment. Results lend support to the role of health problems in preventing employment and increasing AFDC use, as well as several neighbourhood conditions including participantobserved disorder, neighbourhood joblessness, and the median age of neighbourhood structures. The paper concludes by discussing implications for social science theory, future research and public policy.
An Evaluation of Two Decades of Aerosol Optical Depth Retrievals from MODIS over Australia

We present an evaluation of Aerosol Optical Depth (AOD) retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) over Australia covering the period 2001–2020. We focus on retrievals from the Deep Blue (DB) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithms, showing how these compare to one another in time and space. We further employ speciated AOD estimates from Copernicus Atmospheric Monitoring Service (CAMS) reanalyses to help diagnose aerosol types and hence sources. Considering Australia as a whole, monthly mean AODs show similar temporal behaviour, with a well-defined seasonal peak in the Austral summer. However, excepting periods of intense biomass burning activity, MAIAC values are systematically higher than their DB counterparts by, on average, 50%. Decomposing into seasonal maps, the patterns of behaviour show distinct differences, with DB showing a larger dynamic range in AOD, with markedly higher AODs (ΔAOD∼0.1) in northern and southeastern regions during Austral winter and summer. This is counter-balanced by typically smaller DB values across the Australian interior. Site level comparisons with all available level 2 AOD data from Australian Aerosol Robotic Network (AERONET) sites operational during the study period show that MAIAC tends to marginally outperform DB in terms of correlation (RMAIAC = 0.71, RDB = 0.65) and root-mean-square error (RMSEMAIAC = 0.065, RMSEDB = 0.072). To probe this behaviour further, we classify the sites according to the predominant surface type within a 25 km radius. This analysis shows that MAIAC’s advantage is retained across all surface types for R and all but one for RMSE. For this surface type (Bare, comprising just 1.2% of Australia) the performance of both algorithms is relatively poor, (RMAIAC = 0.403, RDB = 0.332).
A Provably Secure Mobile User Authentication Scheme for Big Data Collection in IoT-Enabled Maritime Intelligent Transportation System

The emergence of contemporary technologies like cloud computing and the Internet of Things (IoT) has revolutionized the trends in the cyber world to serve humanity. There are plenty of applications in which they are being used, especially in smart cities and their constituents, Maritime Transportation System (MTS) is one of them. The IoT-enabled MTS has the potential to entertain the growing challenges of modern-day ship transportation. Secure real-time data access from numerous smart IoT devices is the most critical and crucial exercise for Big Data acquisition in IoT-enabled MTS. Therefore, we have developed a Physically Unclonable Function (PUF) based authenticated key agreement solution to deal with this challenge. This solution enables the mobile user and IoT node to mutually authenticate each other via Cloud-Gateway before real-time data exchange and transmission in IoT-enabled MTS. The use of PUF in our solution brings invincibility against physical security threats. An inclusive security analysis under the assumption of the specified threat model is carried out to substantiate the security resilience of our solution. The conduct of our solution is realized through security features, communication, and computation cost and It has been observed that our solution achieves efficiency of 37.3% and 9.7% in communication and computation overhead, respectively. Moreover, the network performance effectiveness of our solution is demonstrated in NS3 implementation.