Miracle-dz/UniFAR-FTUs huggingface dataset:
AP-OPTIMUM DESIGNS FOR MINIMIZING THE AVERAGE VARIANCE AND PROBABILITY-BASED OPTIMALITY

• The purpose of this paper is to introduce a new class of compound criteria and optimum designs that provide a specified balance between minimizing the average variance and high probability of a desired outcome. The proposed criterion called APoptimality that combines A-optimality and P-optimality and address this issue for generalized linear models. An equivalence theorem for this criterion is provided and two numerical examples are presented for different GLMs to illustrate the achieved dual properties. Key-Words: • optimum design; A-optimality; P-optimality; compound criteria. 372 N.M. Kilany and W.A. Hassanein AP-Optimum Designs for Minimizing the Average Variance and. 373
Deep learning for 
R
-parity violating supersymmetry searches at the LHC

Supersymmetry with hadronic R-parity violation in which the lightest neutralino decays into three quarks is still weakly constrained. This work aims to further improve the current search for this scenario by the boosted decision tree method with additional information from jet substructure. In particular, we find a deep neural network turns out to perform well in characterizing the neutralino jet substructure. We first construct a convolutional neutral network (CNN) which is capable of tagging the neutralino jet in any signal process by using the idea of jet image. When applied to pure jet samples, such a CNN outperforms the N-subjettiness variable by a factor of a few in tagging efficiency. Moreover, we find the method, which combines the CNN output and jet invariant mass, can perform better and is applicable to a wider range of neutralino mass than the CNN alone. Finally, the ATLAS search for the signal of gluino pair production with subsequent decay g˜→qqχ˜10(→qqq) is recast as an application. In contrast to the pure sample, the heavy contamination among jets in this complex final state renders the discriminating powers of the CNN and N subjettiness similar. By analyzing the jets substructure in events which pass the ATLAS cuts with our CNN method, the exclusion limit on gluino mass can be pushed up by ∼200 GeV for neutralino mass ∼100 GeV.
CAD Framework for Simulation of Railway Dynamics

Mathematical modeling of railway vehicles is essential for the analysis of safety and ride comfort for faster and comfortable journey. One major part of this model is the dynamics of the system, which primarily consists of rail-wheel interaction and the multibody dynamics of the carbody or wagon, which again are tightly coupled. Various researchers have developed mathematical models to represent these concepts, some of which have matured into simulation software, dedicated for railway dynamics. There are also similar software developed by commercial organizations. However, for a researcher who is about to get into railway dynamics, the learning curve is steep and hence requires attention. For example, ability to visualize one’s kinematic and dynamic formulation of the mathematical model will help him/her to validate the formulations and also provide insights for improvements. This could be in the form of animation of the wheels on rails or the motion of the carbody, modeled as complicated spring-mass-damper system, subjected to various forces and moments. Through this paper, an attempt is made to develop an addin/plugin inside Autodesk Inventor to implement formulations for effective visualization in a 3D CAD software, so that the researcher has better insights.
Outside the net: Intersectionality and inequality in the fisheries of Trincomalee, Sri Lanka

ABSTRACT Inequality and conflict in Sri Lanka have frequently been analyzed along ethnic lines. However, many scholars have stressed the importance of other dimensions of identity, such as gender, caste and class, in studying social tension. This study uses intersectionality theory to examine how a combination of the social categories of gender, race, ethnicity and location creates structural inequality. This article draws upon in-depth research on Muslim, Tamil, Sinhalese and indigenous/Veder women who catch and market fish in the conflict-affected eastern district of Trincomalee, Sri Lanka. The focus was on intra-group differences among these women and the different sources of power they use to subvert existing power structures. Although multiple inequalities affected the respondents’ daily lives and participation in activities, they were not passive victims; they used their own agency to negotiate for their livelihoods. Nevertheless, the women who comprise the focus of this study appeared to be completely invisible to government fisheries management bodies. The lack of institutional representation has disadvantaged them in their negotiations for space to engage in livelihood activities. Registration of these women by the government department of fisheries among those who make a living from fishing would provide them with a first measure of recognition and empowerment, strengthening their chances of negotiating access to the fishery livelihood resources.
Unified Model Equations for Study of Microstructure Evolution

Microstructural modeling is very important because it can provide a critical link between properties, mesoscopic length scale, and atomistic scale (multiscale modeling). There exist a couple of models and simulations to study microstructural evolution. It will be important and useful to discover unified model equations hidden in microstructure evolution. In this paper, I will derive the unified model equations for microstructure evolution. The governing equations in Lifshitz-Slyozov-Wagner theory and diffusion screening theory that modeled microstructural evolution are derived with some approximations from the unified model equations. The governing equations in multiparticle diffusion simulation and phase-field simulation in microstructure evolution are also derived from the unified model equations. The advantages and limitations for different theories and simulations in microstructure evolution are compared. This comparison can guide scientists to select computational tools for their needs in microstructure evolution. The unified model equations can be applied in many new technological fields, such as self-assembly in nanoscience.
Groundwater plume control with phytotechnologies at Argonne National Laboratory.

In 1999, Argonne National Laboratory-East (ANL-E) designed and installed a series of engineered plantings consisting of a vegetative cover system and approximately 800 hybrid poplars and willows rooting at various predetermined depths. The plants were installed using various methods including Applied Natural Science's TreeWell{reg_sign} system. The goal of the installation was to protect downgradient surface and groundwater by hydraulic control of the contaminated plume. This goal was to be accomplished by intercepting the contaminated groundwater with the tree roots, removing moisture from the upgradient soil area, reducing water infiltration, preventing soil erosion, degrading and/or transpiring the residual VOCs, and removing tritium from the subsoil and groundwater. The U.S. EPA Superfund Innovative Technology Evaluation Program (SITE) and ANL-E evaluated the demonstration. The effectiveness of the various plantings was monitored directly through groundwater measurements and samples, and indirectly via soil moisture probes, plant tissue analysis, microbial studies, geochemical analysis, and sap flow monitoring. A weather station with data logging equipment was installed. ANL-E modeled the predicted effect of the plants on the groundwater using MODFLOW. The demonstration has lasted three growing seasons and continues. This paper presents the results of the sampling, monitoring, and modeling efforts to date. The project was notmore » only successful in reducing the groundwater contaminant flow and the contaminants at the source; it also provides insight into the techniques that are useful for measuring and predicting the effectiveness of future similar projects. « less
FACTORS DETERMINING ACCEPTANCE LEVEL OF INTERNET BANKING IMPLEMENTATION

The purpose of this research is to determine the factors influencing acceptance level of inter- net banking by the bank customers in Surabaya. There are ten constructs compiled into a structural model to explain the customer acceptance level of internet banking, i.e. awareness of service, security, quality of internet connection, computer self efficacy, perceived useful- ness, perceived ease of use, perceived enjoyment, trust, attitude towards using, and adoption intention. The data were collected using convenience sampling method by randomly taking all the bank customers that have used internet banking in Surabaya. Only 193 questionnaires were taken and analyzed because due to some circumstances. The method of analysis is by means of partial least square (PLS) using the program of SmartPLS 2.0. The results show that the overall proposed hypotheses are accepted except two hypotheses relationship be- tween awareness of service to the perceived usefulness and security to the perceived useful- ness are considered to have no significant relationship. The management implication and suggestions for the banks as internet banking service providers are also discussed.
The Robust Test Statistic in Comparing Two Independent Groups using Trimming and Winsorization

The classical independent t-test is often in jeopardy when the assumptions of normality or homogeneity of variances being violated. The test performs worsen when these violations occur simultaneously. Alexander-Govern test offers the alternative solution to the classical t-test when dealing with heterogeneous variances conditions. However, it produces good control of Type I error rates only if the data are normally distributed, which is a known fact that normality is hardly achieved in real life situation. As a remedy, in this study, we modify the Alexander-Govern test using trimmed mean and Winsorized mean as the location measures. Generally, the modified test using trimmed mean performs better compared to the original test in terms of Type I error rates. However, the test using Winsorized mean failed to control the Type I error rate well under most condition considered. Index Term-T-test; Alexander-Govern test; trimmed mean; Winsorized mean
The Anti-inflammatory Effect of Human Telomerase-derived Peptide on Porphyromonas gingivalis Lipopolysaccharide- induced Cytokine Production

The Anti-Inflammatory Effect of Human Telomerase-derived Peptide on Porphyromonas gingivalis LipopolysaccharideInduced Cytokine Production Yoo-Jin Ko, D.D.S., M.S.D. Program in Conservative Dentistry Department of Dental Science Graduate School, Seoul National University (Directed by Prof. Won-Jun Shon, D.D.S., M.S.D., Ph.D.) Objectives. Therapeutic use of the antimicrobial and anti-inflammatory peptides to control microbial infection which is a major cause of pulpal and periapical diseases has attracted considerable interest in endodontic fields. GV1001 peptide is derived from human telomerase reverse transcriptase (hTERT) and was developed as a cancer vaccine. Due to its novel pharmaceutical potential with cell-penetrating ability, as well as antiinflammatory activity, GV1001 peptide was suggested as a therapeutic agent to control pulpal inflammation. The purpose of this study was to evaluate the anti-inflammatory effect of GV1001 peptide and its related mechanism in P. gingivalis LPS-induced inflammation in human dental pulp cells (hDPCs). Methods. Dental pulp cells from impacted third molars of human adults were isolated and cultivated. CHO/CD14/TLR2 and CHO/CD14/TLR4 were used to analyze which toll-like receptor (TLR) was stimulated by extracted LPS from P. gingivalis (1 μg/ml). S. aureus LTA (1 μg/ml) and E. coli LPS (100 ng/ml) were used as controls. The ability of intracellular penetration of GV1001 peptide was analyzed by confocal microscopy. The biocompatibility of the peptide (1-50 μM) was measured by MTT assay. Real-time RTPCR was performed to investigate the expression levels of TNF-α and IL-6 from LPSstimulated hDPCs. The role of MAP kinase (ERK, p38) signaling pathway on the antiinflammatory effect of GV1001 peptide was analyzed by western blot analysis. Comparisons between 2 groups were analyzed using Mann-whitney U test (P=0.05). Results. P. gingivalis LPS induced CD25 expression via TLR2. GV1001 peptide was predominantly located in the cytoplasm of hDPCs. The peptide down regulated P. gingivalis LPS-induced TNF-α and IL-6 production in hDPCs (P < 0.05) without showing significant cytotoxicity. Furthermore, the treatment of GV1001 peptide markedly inhibited the phosphorylation of MAP kinases (ERK and p38) in LPS-stimulated hDPCs. Conclusions. GV1001 peptide inhibited TNF-α and IL-6 production through reducing P. gingivalis LPS-induced phosphorylation of ERK and p38 MAPK in hDPCs, which indicates that the peptide may have anti-inflammatory activity.
Dynamic characteristics of finite element (FE) model of the human head-neck

In this work, the dynamic characteristics of the human head-neck system under vibration are studied. For the purpose of our analysis, we adopted a detailed finite element model of the human head-neck, which includes the facial and intracranial details such as the subarachnoid space. The finite element method has allowed us to identify the mechanical properties of the head-neck and to validate a mathematical model in the frequency domain. The extracted modal characteristics consist of a first natural frequency at 34.43±0.1 Hz associated with the head-neck anterior-posterior extension-flexion mode and a second mode at 57.59±0.5 Hz associated with the lateral flexion mode of the head-neck. The results are in agreement with other researchers’ analogous modelling work, however, our three-dimensional analysis introduces additional reported modal responses to the natural frequencies spectra of the head-neck system. The results are compared with experimental ones and the role of damping factor on the natural frequencies is investigated. This study provides new insight into injury mechanisms when a given natural frequency can be linked to a specific head-neck deformation.
Using Detailed Access Trajectories for Learning Behavior Analysis

Student learning activity in MOOCs can be viewed from multiple perspectives. We present a new organization of MOOC learner activity data at a resolution that is in between the fine granularity of the clickstream and coarse organizations that count activities, aggregate students or use long duration time units. A detailed access trajectory (DAT) consists of binary values and is two dimensional with one axis that is a time series, and the other that is a chronologically ordered list of a MOOC component type's instances, videos in instructional order, for example. Most popular MOOC platforms generate data that can be organized as detailed access trajectories (DATs). We explore the value of DATs by conducting four empirical mini-studies. Our studies suggest DATs contain rich information about students' learning behaviors and facilitate MOOC learning analyses.
Human Resource Management Integrated Approach to Human Resources Management Practices in Kazakhstan

Human Resources Management Practices play a crucial role in company’s competitiveness and sustainability. Oil and Gas industry of Kazakhstan has long been regarded as a symbol of national strength. Since the Oil and Gas industry is closely related to economic stability and national development, it can be considered as a national strategic industry of Kazakhstan. This article provides an overall characterisation of the main human resources management (HRM) practices implemented by National Company KazMunayGas (NC KMG) and compares them with the benchmark models proposed in the literature.
Why are educated women less likely to be employed in India? Testing competing hypotheses

In this paper we use the Indian National Sample Survey data for 1993-94 to examine the relationship between women's education and labor force participation. While it has been recognized in the literature that education is associated with lower labor force participation for women in South Asia, the reasons behind this association are less well understood. Two competing theories potentially explain this phenomenon - one based on cultural factors and the other on labor market options. Cultural arguments suggest that women's withdrawal from labor force is associated with improvement in the social status of the family. Higher status families choose to educate their daughters, but at the same time, restrict their independence through labor force withdrawal. In contrast, structural arguments suggest that educated women - like educated men - prefer white collar jobs. Since formal sector jobs only comprise 7 percent of all jobs, opportunities for these desirable jobs is limited, resulting in labor force withdrawal of women. We propose empirical tests to examine whether job availability or patriarchal controls play an important role in shaping this relationship. Our results suggest that cultural factors appear to be less important than lack of employment opportunities.
Exploring an extended role for legitimizing self-study action research projects: From examiners' perspectives

This paper aims to elucidate the standards of good practice that external examiners developed when considering written reports of self-study action research projects. It also seeks to reveal the methodological and epistemological assumptions in the examiners’ thinking regarding the academic legitimacy of selfstudy action research projects. The context is the work of four examiners appointed by Walter Sisulu University (WSU) between the years 2011 and 2012 to review and write narrative reports on one doctoral thesis and one masters mini-dissertation project. The perspectives of the four examiners regarding the depth to which self-study action research candidates should go in the process of validating their research projects are analyzed using autobiography and documentation. The data sources comprise the examiners’ evaluations, the author's evaluations and the University research policy documents. Analysis reveals that the process of gaining academic legitimation for a self-study action research project can be enhanced by developing principles and standards as criteria for self-study action research assessment. The paper concludes by making a claim that external examiners’ understanding and criticism of self-study action research projects deepen and extend ways of validating self-studies as scholarly research work. A set of criteria are provided for consideration by university higher degree committees (HDC) and other practitioners in their quest for quality in self-studies.
Modelling AR ( 1 ) Stationary Time series of Com-Poisson Counts

Time series of counts are frequently exposed to the dispersion phenomenon. In real life applications, these counts exhibit greater or lesser variability than the mean. In this context, the Com-Poisson model emerges as one potential distribution in the family of exponential dispersion models that handles all forms of dispersion. In cross sectional regression, Com-Poisson has yielded suitable fits and lesser residual deviance than Poisson and Negative-Binomial models. Motivated by this fact, this paper extends the application of Com-Poisson to the modelling of time series of counts through an observation-driven approach. One further assumption in this modelling strategy is that the count observations are influenced by a set of exogeneous variables as demonstrated in several real-life studies. The regression and dispersion parameters are estimated using two sets of generalized quasi-likelihood (GQL) equations . The performance of this methodology is then assessed via simulation of integervalued autoregressive time series of Com-Poisson counts. Key–Words: Com-Poisson, Dispersion,Autoregressive,Observation-driven,GQL
Evaluation of Solar Energy Integration Potential in A Neighborhood

Decision support tools for the integration of solar energy can help cities and communities accelerate the adoption of photovoltaic energy on unutilised buildings’ roof space. The objective of this paper is to provide a complete framework for the optimal integration of photovoltaics for urban neighbourhoods and apply it for the creation of a lighthouse solar neighbourhood project in a Swiss village. Initially, the solar potential of the buildings is determined, in terms of both incoming solar radiation and roof area availability, utilizing a Digital Elevation Model (DEM). However, apart from solely determining the potential, energy management techniques are subsequently employed to examine the temporal dimension of energy demand and generation. Using optimisation techniques, the optimal roof structures to be fitted with photovoltaics are determined, as well as the needs for electric storage capacity. Multiple criteria are used for the decision process and the interplay between cost optimal solutions and solutions that maximise the renewable energy used locally is investigated.
Advanced Autonomous Network Reconfiguration System

The Multi-hop characteristics of wireless mesh network practices recurrent nodes or link failures triggered by several reasons i.e. vibrant obstacles, channel intrusion, and applications demands. These catastrophes cause severe performance degradations and oblige expensive physical managements for their realtime recovery. In order to overcome these limitations, the aim of this manuscript is to present an Advanced Autonomous Reconfiguration Network System (ARNS) by enabling multi-radio WMNs. Using channel and radio diversities in WMNs, in order to recover from these failures, ARNS creates necessary changes in local radio and channel assignments to cooperatively reconfigure network settings among local mesh routers. The approach is proved by showing the proper simulation results.
The Use of the Kirton Adaption-innovation Inventory in Thailand: An Exploratory Study

The generalisability of Western personality research to non-Western cultures is challenged when concepts and constructs rooted in one culture (the UK) are transported to another (Thai), particularly where there is purportedly a marked difference in the concept of self. The Kirton Adaption-innovation (KAI) inventory (Kirton 2006) when viewed from a Western perspective comprises items that are related to both the Innovative and Adaptive poles; the items associated with the latter pole are reverse-scored within the measure to align with the Innovative items (r= 0.41, p< 0.001 n=562) so as to provide an Innovatively oriented scale of 32 items (Mean=95 Alpha=0.88). In the Thai sample, while there were no significant differences in the item scores the Innovative items were negatively related to the reversed-scored Adaptive items (r= -0.37 p< 0.001 n=202), in effect bringing together the two opposite poles of the bipolar concept into a single holistic group (e.g. Nisbett & Peng 1999; Spencer Rogers & Peng 2005). While the factor configuration for the Thai sample was fragmented a number of the more significant items were selected to represent the original three factors of the Kai scale. This scale of 15 items was factored and the three original factors were easily identified. However, the Innovative items (the factor SO) retained their negative relationship with other items in the scale.
Study of the Fine Structures of Streamer with Hydrodynamics in Nanosecond Surface Dielectric Barrier Discharges

A 2D parallel code coupling plasma and hydrodynamics is developed to study the fine structure of streamer and hydrodynamics of nanosecond surface dielectric barrier discharge (nSDBD). A detailed kinetics of 17 species and 34 reactions for fast gas heating is taken into consideration. The structure and propagation of streamers along dielectric surface are studied for positive and negative polarities. The results of calculation are in good agreement with experimental data.