Miracle-dz/UniFAR-FTUs huggingface dataset:
Framing Successful School Leadership as a Moral and Democratic Enterprise.

The article aims at exploring what counts as successful leadership and what the key questions in exploring successful school leadershipacross countries should be. A main argument is that successful leadership is a contestable concept, and I argue for framing school leadership as a moral and democraticenterprise, which implies a need to protectandpromote the ideas and valuesqfdemocracy in the language of education. In the discussion I draw upon data from the Norwegianpart ofan international research project. I claim that theprincipal is probably crucial in building the conditionsfor democraticparticipation in schools, but that success resultsfrom a continuous team effort.
Modelling multi-phase halogen chemistry in the remote marine boundary layer: investigation of the influence of aerosol size resolution on predicted gas- and condensed-phase chemistry

A coupled box model of photochemistry and aerosol microphysics which explicitly accounts for size- dependent chemical properties of the condensed-phase has been developed to simulate the multi-phase chemistry of chlorine, bromine and iodine in the marine boundary layer (MBL). The model contains separate seasalt and non- seasalt modes, each of which may be composed of 1-16 size-bins. By comparison of gaseous and aerosol compo- sitions predicted using different size-resolutions with both fixed and size-dependent aerosol turnover rates, it was found that, for halogen-activation processes, the physical property initialisation of the aerosol-mode has a significant influence on gas-phase chemistry. Failure to adequately represent the appropriate physical properties can lead to substantial errors in gas-phase chemistry. The size-resolution of condensed- phase composition has a less significant influence on gas- phase chemistry. Detailed MBL mixed-phase chemistry has historically been studied using photochemical box models which treat the condensed-phase as a simple reactive volume, using representative aerosol microphysical properties to deter- mine gas-aerosol exchange rates but not allowing them to evolve through time (e.g. Model Of Chemistry Consider- ing Aerosols, MOCCA, Sander and Crutzen, 1996). Recent work to improve the treatment of the condensed-phase have focussed on one of two aspects: either size-resolved chem-
Ontology enrichment from heterogeneous sources on the web

Exp. 1951.0 14.5 1955.0 -4.00 0.22 Art Deco 1928.1 9.3 1929.6 -1.44 0.08 Art Nouveau 1893.0 22.9 1894.1 -1.15 0.05 Baroque 1662.2 63.
The Effects of Youth Entrepreneurship Community Engagement on Sustainable Design: A Case Study of Guangfu Village Redevelopment

Public participation plays a decisive role in the way to achieve sustainability deign for local redevelopment. Guangfu Village, the first garden city model town in Taiwan is facing redevelopment issue when executing sustainable design with human resources after 921 earthquake in 1999. Recently, youth entrepreneurship program imported 70 non-residential participants for the purpose of promoting Guangfu Village as an ecological urbanism demonstration base on garden city planning in Taiwan. Previous studies approved sustainable development was benefited with place attachment of residents. Relative literatures indicated that imported creative community brought positive effects for local redevelopment This study focused on exploring how community engagement as a trend of human resource influenced local redevelopment when facing the challenge of sustainable design. 70 questionnaires of youth entrepreneurship community members were analysed to verify place attachment of imported community in Guangfu Village. The study furthermore applied semi-structured questionnaire to explore the effects on sustainable design for local redevelopment. According to the research analysis, community involvement factors including involvement, participation and control, local dependency factors including local dependence and local identity are the major factors for sustainable design with social, economic and ecological aspects.
Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks

Secure and efficient data transmission is a critical issue for cluster-based wireless Sensor Networks (WSNs). In Cluster-based WSNs authentication of users is a very Important issue . So, by authenticating the sent user and the destination user , we can achieve the security and efficiency of data over CWSNs. To provide security of data and authentication of user we proposed a technique where we are implementing two concepts for performing those operations. The first one is identity based signature (IBS) for verification of user generated by the verifier and second one is a key is xor operated with the data and get the cipher and then binary level technique for encryption and decryption of the original message. The binary level technique converts the plain text into binary form and then splits the data into blocks and assign values to it based on identification mark (IM) technique which depends upon the length of the binary digits, then these are divided into two level, 1 st level is 2 bit and 2 nd level is 4 bit . Then at the receiver user the Cipher text will be decrypted by using the reverse technique and the destination user will get the original message. By providing those techniques we can improve efficiency, security overhead and energy consumption.
Subduction-transition zone interaction: A review

As subducting plates reach the base of the upper mantle, some appear to flatten and stagnate, while others seemingly go through unimpeded. This variable resistance to slab sinking has been proposed to affect long-term thermal and chemical mantle circulation. A review of observational constraints and dynamic models highlights that neither the increase in viscosity between upper and lower mantle (likely by a factor 20–50) nor the coincident endothermic phase transition in the main mantle silicates (with a likely Clapeyron slope of –1 to –2 MPa/K) suffice to stagnate slabs. However, together the two provide enough resistance to temporarily stagnate subducting plates, if they subduct accompanied by significant trench retreat. Older, stronger plates are more capable of inducing trench retreat, explaining why backarc spreading and flat slabs tend to be associated with old-plate subduction. Slab viscosities that are ∼2 orders of magnitude higher than background mantle (effective yield stresses of 100–300 MPa) lead to similar styles of deformation as those revealed by seismic tomography and slab earthquakes. None of the current transition-zone slabs seem to have stagnated there more than 60 m.y. Since modeled slab destabilization takes more than 100 m.y. , lower-mantle entry is apparently usually triggered (e.g., by changes in plate buoyancy). Many of the complex morphologies of lower-mantle slabs can be the result of sinking and subsequent deformation of originally stagnated slabs, which can retain flat morphologies in the top of the lower mantle, fold as they sink deeper, and eventually form bulky shapes in the deep mantle.
Mapping Soil Salinity in Western United Arab Emirates (UAE) Using Satellite Data

Soil salinity, whether natural or human induced, is a major geo-hazard in arid and semi-arid landscapes. In agricultural lands, it negatively affects plant growth, crop yields, whereas in semi-arid and arid nonagricultural areas it affects urban structures due to subsidence, corrosion and ground water quality, leading to further soil erosion and land degradation Accurately mapping soil salinity through remote sensing techniques has been an active area of research in the past few decades particularly for agricultural lands. Most of this research has focused on the utilization and development of salinity indices for properly mapping and identifying saline agricultural soils. This research study develops a soil salinity index and model using Landsat 8 OLI image data from the near infra-red and shortwave infra-red spectral information with emphasis on soil salinity mapping and assessment in non-agricultural desert arid and semi-arid surfaces. The developed index when integrated into a semi-empirical model outperformed in its soil salinity mapping overall accuracy (60%) in comparison to other salinity indices (~50%). The newly developed index further outperformed other indices in its accuracy in mapping and identifying high saline soils (67%) and excessively high saline soils (90%).
Value-Based Intermediation ( VBI )-propelling Islamic finance

Over the years, finance has lifted the lives of many, enabled businesses to grow and helped to fund the construction of public infrastructure that we now depend on. Yet, as the global economy transforms and society evolves, the question as to whether the financial sector is sufficiently serving the needs of the real economy continues to be debated. The evidence from the global financial crisis underlines the need for the financial sector to restore its balance with the real economy. There is a need to rethink, reassess and re-strategise the role and contribution of the financial industry. Undoubtedly, there is an increasing expectation for the financial sector to deliver greater impact to the economy and society.
TMT Attention to Innovation of Organizations Influence the Organization Innovation Activities: Moderating Role of Corporate Governance

This study examines the TMT attention to innovation influences an organizations innovation activities. The results show that the influence of executive attention to innovation on organizations innovation activities is moderated by the characteristics of corporate governance. This study develop and test the hypotheses imitative from the expectation of firm level data covering the period of 2012-2016. The result shows that TMTAI is positively related with an organization’s patent application, and that the positive association is stronger when an organizations is a state owned, has a large members of the board, and has a few independent directors.
Enhanced Security using Secure Multiparty Computation to E-voting application in cloud

Secure outsourcing of computation on sensitive data is an important topic that has received a lot of attention recently. E-Voting system is interested in method collaboration system to ameliorate the quality of System. Cloud computing is integrating in communication and information technologies in the E-Voting. In fact, the paradigm is to provide the computational resources or result at the end of the services. Further it needs to reveal the voting information result but if faces several challenges in the security it must be overcome without reveal any sensitive data to unauthorized parties. To accomplish this objective, we proposed secure multiparty computation techniques (SMC). The main aim of our work is to use the suitable model for parties to together compute their function based on their inputs without revealing their private inputs. The idea behind is the several collaborate system use to their shared objectives without allow any gathering to information and private information.
Contributions to statistical learning and its applications in personalized medicine

This dissertation, in general, is about finding stable solutions to statistical models with very large number of parameters and to analyze their asymptotic statistical properties. In particular, it is centered in the study of regularization methods based on penalized estimation. Those procedures find an estimator that is the result of an optimization problem balancing out the fitting to the data with the plausability of the estimation. The first chapter studies a smoothness regularization estimator for an infinite dimensional parameter in an exponential family model with functional predictors. We focused on the Reproducing Kernel Hilbert space approach and show that regardless the generality of the method, minimax optimal convergence rates are achieved. In order to derive the asymptotic analysis of the estimator, we developed a simultaneous diagonalization tool for two positive definite operators: the kernel operator and the operator defined by the second Frechet derivative of the expected data t functional. By using the proposed simultaneous diagonalization tool sharper bounds on the minimax rates are obtained. The second chapter studies the statistical properties of the method of regularization using Radial Basis Functions in the context of linear inverse problems. The regularization here serves two purposes, one is creating a stable solution for the inverse problem and the other is prevent the over-fitting on the nonparametric estimation of the functional target. Different degrees for the ill-posedness in the inversion of the operator A are considered: mildly and severely ill-posed. Also, we study different types for radial basis kernels classifieded by the strength of the penalization norm: Gaussian, Multiquadrics and Spline type of kernels. The third chapter deals with the problem of Individualized Treatment Rule (ITR) and analyzes the solution of it through Discriminant Analysis. In the ITR problem, the treatment assignment is done based on the particular patient's prognosis covariates in order to maximizes some reward function. Data generated from a random clinical trial is considered. Maximizing the empirical value function is an NP-hard computational problem. We consider estimating directly the decision rule by maximizing the expected value, using a surrogate function in order to make the optimization problem computationally feasible (convex programming). Necessary and sufficient conditions for Infinite Sample Consistency on the surrogate function are found for different scenarios: binary treatment selection, treatment selection with withholding and multi-treatment selection.
Parametric Model-Order Reduction in Hierarchical Multiobjective Optimization of

For complex mechatronic systems it is convenient to modularize the system into a hierarchical structure. Especially for self-optimizing systems hierarchies can be used to reduce the complexity. Such systems have an extensive information processing, because they adapt their behavior to varying system and environment conditions in an autonomous way. In this paper we present a parametric model-order reduction based on multi-moment matching that is used to simplify hierarchical models. By this procedure the execution of a hierarchical multiobjective optimization is fastened. We compare our hierarchical approach with a multiobjective optimization of a non-reduced model for an active suspension system. A good approximation of both the Pareto sets and Pareto fronts is obtained by our approach.
Cash Forward Contracting Versus Hedging Of Fed Cattle, And The Impact Of Cash Contracting On Cash Prices

This research examines cash forward contracting of fed cattle. For an individual feeder, a cash contract eliminates basis risk (as compared to a futures hedge). However, the disadvantage is that the contract price is estimated to be lower than the futures hedge price by $. 28 - $. 59/ cwt for steers and $. 86 - $1.64. cwt for heifers. From the industry perspective, contracting appears to have a negative impact on cash prices. An increase of 1,000 head in U.S. monthly contract cattle shipments is associated with a $. 003-$. 009/cwt decrease in the U.S. average cash price. The negative impact of cash contracting varies by state.
Modality annotation for Portuguese: from manual annotation to automatic labeling

We investigate modality in Portuguese and we combine a linguistic perspective with an application-oriented perspective on modality. We design an annotation scheme reflecting theoretical linguistic concepts and apply this schema to a small corpus sample to show how the scheme deals with real world language usage. We present two schemas for Portuguese, one for spoken Brazilian Portuguese and one for written European Portuguese. Furthermore, we use the annotated data not only to study the linguistic phenomena of modality, but also to train a practical text mining tool to detect modality in text automatically. The modality tagger uses a machine learning classifier trained on automatically extracted features from a syntactic parser. As we only have a small annotated sample available, the tagger was evaluated on 11 modal verbs that are frequent in our corpus and that denote more than one modal meaning. Finally, we discuss several valuable insights into the complexity of the semantic concept of modality that derive from the process of manual annotation of the corpus and from the analysis of the results of the automatic labeling: ambiguity and the semantic and syntactic properties typically associated to one modal meaning in context, and also the interaction of modality with negation and focus. The knowledge gained from the manual annotation task leads us to propose a new unified scheme for modality that applies to the two Portuguese varieties and covers both written and spoken data.
1 INFRASTRUCTURE PROVISION AND ITS EFFECT ON BICYCLE MODE CHOICE 1

At the stage of modal split in the classic transportation planning model, discrete choice models under the theoretical framework of random utility are widely used, this research proposes a choice model between motorized modes and bicycle under three possible infrastructure scenarios: a) bike paths, b) bike lanes (shared lanes with signaling) and c) none infrastructure. The main goal of the research is to provide insights on the probability of bicycle choice given that users of motorized transport modes are presented with infrastructure for bike, and by including a latent variable to the model that tries to investigate which factors related to the experience of using a bike influence the decision rather than cost and travel time. Data correspond to a revealed preference (RP) and stated preference (SP) survey with 1231 individuals, conducted in the city of Medellin, Colombia, with which hybrid discrete choice models were estimated by a simultaneous approach with infrastructure for bike as block variable and with the inclusion of a latent variable that considers: the distance of the trip, safety related to the use of bicycle, the slope of the terrain, potential bad weather conditions, theft possibility and travelling with freight using the bicycle. The article presents the results of applying the model to estimate potential users for bicycle from auto, bus, and metro, in an urban context for different infrastructure scenarios and compares the results to estimate the effects of providing such infrastructure for future bike users that could eventually lead to a sustainable modal shift.
The Schooling Incentives Project Evaluation

This report describes the first randomized evaluation of an education initiative aimed at children vulnerable to child labor. The promotion of education had been at the core of anti-child labor efforts for over a decade. Based on a survey of children aged 10-16 whose guardians worked in export-oriented carpet-weaving establishments in the Kathmandu Valley of Nepal, the authors found that a scholarship for education fees and expenses did not have a detectable impact on attendance. Adding economic support conditioned on school attendance to the scholarship significantly increased school attendance, improved test performance, and discouraged weaving among girls. That combination of scholarship and support reduced the prevalence of children living without a parent present.
Chromosomal Variation in Three Human-Mouse Hybridoma Cell Lines after Various Passaging Intervals as Assessed with Two Different Staining Methods

Objective(s) The main objective of this study was to investigate the status of chromosome stability in 3 human-mouse hybridoma cell lines over a period of time in various passages. Materials and Methods Metaphase spreads from 3 human-mouse cell lines (HF2X653, SPMO-4 and F3B6) that had been cultured in 4 successive passages, from 1 to 4 weeks, were prepared and analyzed. Metaphase chromosomes stained in Giemsa and a fluorescent dye, Hoechst 33258, for differential staining. This staining was performed for differentiating human and mouse chromosomes. Results Numerical chromosome analysis showed that although in successive passages the total number of chromosomes in hybridoma cells remained unchanged, some changes occurred in the number of human and mouse metacentric and acrocentric chromosomes during different passages. These changes were detectable, using fluorescence staining method. Conclusion Since one of the main uses of human-mouse hybridoma cells is producing monoclonal antibody, chromosomal instability in these cells causes the loss of human chromosomes coding the antibody of interest occasionally. Therefore, cytogenetical analysis and characterization of these cells, especially by using the appropriate ways of chromosomal identification, is essential prior to use.
Determinants of Total Compensation for
Auto Bodily Injury Liability Under No-Fault:
Investigation, Negotiation
and the Suspicion of Fraud

Auto Bodily Injury Liability claim payments are predominantly negotiated settlements, with less than two percent the result of complete litigation and jury trials. All settlements consist of a combination of claimed economic loss, called special damages, and a payment for “pain and suffering”, called general damages. The dependence of the total compensation on a variety of factors relating to the type and magnitudes of the economic losses, medical and wage loss, and to the type and severity of injury has been explored by prior researchers who found medical losses to be the primary determinant of total compensation but they also found that other severity variables play a distinct and significant role in the final settlement values. Further research introduced the notion that both the information gathered in the course of investigation and the adjuster’s attitude toward the quality of the claim, especially the suspicion of fraud, also played a significant role in the final settlement value. Recently, it has been shown that settlement values for subjective injury claims are systematically lower relative to special damages and indicate that insurers use their negotiating power to obtain lower settlements on questionable claims as a rational response to the presence of fraud and build up claims. The current paper extends that research by examining additional variables specifically related to the investigation and negotiation processes and quantifying the effect of those variables on the final total compensation. In particular, we find that strain and sprain claims command lower general damages relative to specials, even in the absence of suspicion of fraud and build up, but that the intensity of suspicion of fraud and build up can reduce overall payments as much
A Comparative Analysis of Pre and Post Privatization Efficiency of Pakistani Banks

In this study, we present estimates of changes in productivity and efficiencies of privatized banks in Pakistan during the period 1987-2014. We measure the performance of banks by cost-effectiveness and technical efficiency of five leading banks of Pakistan. All estimated results are statistically significant and support the general hypotheses that increase the efficiency and productivity after privatization.
International Trade and Biological Invasions : A Queuing Theoretic Analysis of the Prevention Problem 1 by

We propose and develop a new framework for studying the problem of preventing biological invasions caused by ships transporting internationally traded goods between countries and continents. In particular, we apply the methods of queuing theory to analyze the problem of preventing a biological invasion from a long run perspective. First, we characterize two simple regulatory regimes as two different kinds of queues. Second, we show how to pose a publically owned port manager’s decision problem as an optimization problem using queuing theoretic techniques. Third, we compare and contrast the optimality conditions emanating from our analysis of the and the M/M/I/U M/M/I/I inspection regimes. We conclude by discussing possible extensions to our basic models.