Miracle-dz/UniFAR-FTUs huggingface dataset:
Complementarity: Applications, Algorithms and Extensions

Preface. Approximating Maximum Stable Set and Minimum Graph Coloring Problems with the Positive Semidefinite Relaxation S.J. Benson, Y. Ye. Nonmonotone Path Following Methods for Nonsmooth Equations and Complementarity Problems S.C. Billups, et al. Scalable Probabilistic Clustering P.S. Bradley, et al. A Complementarity Eigenproblem in the Stability Analysis of Finite Dimensional Elastic Systems with Frictional Contact A. Pinto da Costa, et al. Variational Inequality Models of Restructured Electricity Systems O. Daxhelet, Y. Smeers. Optimization Approaches to Semi-Supervised Learning A. Demiriz, K.P. Bennett. Preprocessing Complementarity Problems M.C. Ferris, T.S. Munson. On the Connectedness of Solution Sets of Parametrized Equations and of Solution Sets in Linear Complementarity Problems M.Seetharama Gowda, et al. An Active Set-type Newton Method for Constrained Nonlinear Systems C. Kanzow. Mathematical Programming in Engineering Mechanics: Some Current Problems G. Maier, et al. Data Discrimination via Nonlinear Generalized Support Vector Machines O.L. Mangasarian, D.R. Musicant. On Constraint Qualifications for Mathematical Programs with Mixed Complementarity Constraints J.V. Outrata. A Generation Operation Planning Model in Deregulated Electricity Markets based on the Complementarity Problem M. Rivier, et al. A Class of Globally Convergent Algorithms for Pseudomonotone Variational Inequalities M.V. Solodov. Successive Convex Relaxation Approach to Bilevel Quadratic Optimization Problems A. Takeda, M. Kojima. On a Nonsmooth Newton Method for Nonlinear Complementarity Problems in Function Space with Applications to Optimal Control M. Ulbrich. The Proximal Point Algorithm for the P0 Complementarity Problem N. Yamashita, et al. Free Boundary Problems in Asset Pricing with Transaction Costs T. Zariphopoulou.
The Suitability of Fatha Clay Deposits for Clay Bricks Industry in Zurbatiya Area, Eastern Iraq

This research aims to study the suitability of the Fatha Formation clay deposits for the brick industry in the Zurbatiya area, Wasit Government. Two sites (Al-Salam police station and Al-Taff station) were selected. The clay deposits were subjected to particle size analysis, atterberg limits, chemical and mineralogical analyses. The samples have 31.45% clay, 52.91% silt, and 15.64% sand. Chemical analyses revealed that SiO 2 and CaO are the clay deposits' main components, indicating the high content of quartz and calcium carbonate. The mineralogical analysis by XRD techniques indicated that quartz, calcite, feldspar, gypsum, and dolomite are the non-clay minerals; Kaolinite, illite, palygorskite and chlorite are the most clay minerals, followed by the mixed layer (montmorillonite-chloride). Clay brick samples were formed, dried and then fired using a particular firing program. The produced bricks have good water absorption (20-24.06%), compressive strength (36.23-41.63 N/mm 2 ), and efflorescence (moderate – slight to nill). The properties of the produced clay bricks agree with the requirements of class A and B of the Iraqi Standard Specifications No.25,1993, British (BS 3921, 1985 ), and American Standard (ASTM C10, 2010
Some Chemical and Physical Properties of Cereal Fermented Milk Product

Two types of whole cereal fermented milk were prepared by adding different concentrations of either whole wheat flour (wwf) or whole barley flour (wbf) by (3,5 and 7%) during manufacture. The addition of cereal caused an increase in total solids, T. protein, fat ,crude fiber, carbohydrates and ash content by 21, 6.25, 1.4,0.18, 48.5 and 4.3% in the case of 3% wwf-fermented milk and increase by 37.1, 17.9, 1.7, 29.5, 79.7 and 14.49 in 5% wwf-fermented milk. The corresponding values in 3% wbf-fermented milk were 21.79, 12.4, 1.52, 30.5, 45.3 and 5.6% and 34.3, 20.9, 2.7, 53.3, 69.4 and 15.9% in 5% wbf-fermented milk. The viscosity of the both type cereal-fermented milk was increased as the percent of cereal added and storage time increase by about 4-5 fold time in the fresh products and 9-12 fold time after 14 days of storage, therefore 3% (wbf) and 5% (wwf)-fermented products were accepted depending on the sensory evaluation.
A Comparison of Non-corrected Planar and Spherical Near-Field Scanning For Absorbed Power Density Evaluation Using Inverse Source Technique

A comparison of absorbed power density (APD) evaluation using a regularized source reconstruction/inverse source method by planar and spherical near-field sampling was studied for a horn antenna at a millimeter-wave frequency of 28 GHz. The results have shown that the non-corrected planar near-field scanning for the proposed inverse source method could calculate a reasonably accurate peak spatial APD compared to that of a spherical one, in addition to the significantly reduced number of sampling points. The calculated APD using measured planar near field was also presented as validation.
Cloud simulations with the Max Planck Institute for Meteorology general circulation model ECHAM4 and comparison with observations

In this study, cloud parameters as simulated by the latest version of the Max Planck Institute for Meteorology general circulation model are documented and compared with observations. The model simulations generally agree with the observed spatial distribution and temporal variation of the total cloud amount. There are, however, biases in the details. Underestimation in the total cloud amount found over the midlatitude oceans in summer leads to significant biases in the simulated radiation budget. Considerable uncertainties of the observed total cloud amount in the polar region call for improved measurement techniques for further model validation. With a similar mean state of total cloud amount in the tropics between model and observation, fewer daily and interannual variabilities are found in the model. Despite large uncertainties in the current cloud liquid water path retrievals, the main pattern and magnitude of the space-time distribution of cloud liquid water path is reseasonably well reproduced by the model. Lack of contrast between simulated cloud liquid water path in the subtropics and midlatitudes and failure to capture the observed summer local maxima of cloud liquid water path in the subtropical eastern ocean basins are the major discrepancies found in the model in comparison with the observations. The systematic differences in the magnitude of cloud liquid water path retrievals as shown in the comparison reveal a need for careful calibration of satellite retrieval algorithms. With a simple approach to prescribing land-sea contrast in cloud droplet number concentrations the simulated distribution of effective radii of cloud water droplets in the tropics is in good agreement with observations. However, some physical processes (e.g., precipitation efficiency and air mass advection) in regulating cloud droplet number concentrations cannot be resolved by the simple prescription. The model simulation of cloud effective drop radii over the midlatitude oceans reveals errors larger than those in other regions of the globe.
Automatic Segmentation of Liver from CT Scans with CCP-TSPM Algorithm

With the increase in the morbidity of liver cancer and its high mortality rate, liver segmentation in abdominal computed tomography (CT) scan images has received extensive attention. Segmentation results play an important role in computer-assisted diagnosis and therapy. However, it remains a challenging task because of the complexity of the liver’s anatomy, low contrast between the liver and its adjacent organs, and presence of lesions. This study presents an automatic method for liver segmentation from CT scan images based on the convex–concave point for tree structured part model (CCP–TSPM). First, TSPM is utilized as a coarse segmentation tool for capturing the topological shape variation. Then, the proposed CCP is implemented to adjust the position between adjacent points dynamically. As a result, the CCP–TSPM can locate the liver boundary adaptively. Furthermore, color space data provide abundant feature information, which can further improve the method’s effectiveness and efficiency. Finally, the curve is evolved by an iteration level set function to obtain the fine segmentation results. The experimental results show that the proposed method can extract the liver boundary successfully. Furthermore, a comparison of the results with those of the state-of-the-art methods demonstrates the superior performance of the proposed method.
Implementation of Wireless Sensor Networks for Mobile Relay Configuration in Data-Intensive Applications

Wireless Sensor Networks (WSNs) are increasingly used in data-intensive applications such as microclimate monitoring, precision agriculture, and audio/video surveillance. A key challenge faced by dataintensive WSNs is to transmit all the data generated within an application’s lifetime to the base station despite the fact that sensor nodes have limited power supplies. We propose using low cost disposable mobile relays to reduce the energy consumption of data-intensive WSNs. Our approach differs from previous work in two main aspects. First, it does not require complex motion planning of mobile nodes, so it can be implemented on a number of low-cost mobile sensor platforms. Second, we integrate the energy consumption due to both mobility and wireless transmissions into a holistic optimization framework. Our framework consists of three main algorithms. The first algorithm computes an optimal routing tree assuming no nodes can move. The second algorithm improves the topology of the routing tree by greedily adding new nodes exploiting mobility of the newly added nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology. This iterative algorithm converges on the optimal position for each node given the constraint that the routing tree topology does not change. We present efficient distributed implementations for each algorithm that require only limited, localized synchronization. Because we do not necessarily compute an optimal topology, our final routing tree is not necessarily optimal. However, our simulation results show that our algorithms significantly outperform the best existing solutions.
Fuzzy Control for Nonlinear Time-Delay Distributed Parameter Systems Under Spatially Point Measurements

This paper introduces a fuzzy control (FC) under spatially point measurements for nonlinear time-delay distributed parameter systems (DPSs) described by parabolic partial differential-difference equations (PDdEs). First, a Takagi–Sugeno (T–S) fuzzy PDdE model is employed to represent the nonlinear time-delay DPSs. Second, with the aid of the T–S fuzzy PDdE model, an FC design under spatially point measurements is developed in the formulation of linear matrix inequalities by constructing an appropriate Lyapunov functional, which can stabilize exponentially the time-delay DPSs. This stabilization condition can be applied to either slowing-varying time delay or fast-varying one. Finally, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.
Plants and People in Late Neolithic and Early Bronze Age Northern Greece: An archaeobotanical investigation

Subsistence practices are frequently argued to have been important factors in the Neolithic-Bronze Age transition, although all too often very little systematic research has provided any empirical data on which to base such arguments. The research on which this volume is based analysed archaeobotanical evidence retrieved from five sites in Macedonia and Thrace covering the late Neolithic and early Bronze Age period. Valamoti aims to provide a better understanding of the nature of settlements, settlement expansion and the development of hierarchies during this period through the interrogation of plant remains. In so doing, she provides valuable insights into aspects of land use, plant exploitation (wild versus cultivated), husbandry methods, seasonality, grazing patterns, animal feeding and so on and is able to make some preliminary arguments for the role of agricultural practices in socio-economic organisation and settlement patterns, leading the way for future research.
Native Endomycorrhiza With Tolerance to Heavy Metal Contamination in Organic Culture Media

Endomycorrhizal fungi are spora-carrying organisms that can survive in heavy metal-contaminated environments. The goal of this study was to investigate endomycorrhizal fungi from heavy metal-affected areas and determine an effective mix of organic culture media to increase the number and diameter of endomycorrhizal spores. In Sorowako, Indonesia, endomycorrhizal fungi were isolated from the rhizosphere of: rice husk charcoal, sand, zeolite (KM1); rice husk charcoal, sand, sawdust (KM2); rice husk charcoal, sand, cocopeat (KM3); rice husk charcoal, sand, rice soil (KM4); rice husk charcoal, sand, cold magma (KM5); rice husk charcoal, sand, cold magma (KM6); and rice husk charcoal, sand (KM7). The results of the first phase of research revealed that three endomycorrhizal genera (44.44%–75.86% Acaulospora sp, 9.52%–44.44% Gigaspora sp, and 3.38%–19.05 % Glomus sp) can adapt to and resist conditions contaminated with Hg, Cd, Ni, Pb, As, Cr, Mn, Fe, Cu, Co, and Sn, namely as a carrier medium. It was concluded that a combination of organic media was recommended, but that this must decompose first
Nasal in situ gels as a drug delivery system: An overview of literature and clinical studies

: There are various ways to deliver drugs and each one has its ups and downs depending on the purpose of use and the patients themselves. And among these drug delivery systems, the intranasal path stands out as one of the more exciting and challenging ones. Despite being perhaps the most commonly used path of delivery, the oral route is subject to facing various roadblocks in terms of efficacy and bioavailability, requiring a certain amount of dosage and synergy from the active pharmaceutical ingredient that is being used to be effective. When said active pharmaceutical ingredient is ineffective via the oral route, has to be given in small doses, or has to enter circulation quickly to manifest its effects, it inevitably falls out of favor. In its place, the intranasal route can act as a viable substitute. Although there are several methods to formulate intranasal drugs, naturally, the intranasal route possesses advantages and disadvantages of its own. Thus, in situ gel systems have emerged as a favorable preference among these formulation methods. Possessing the upsides of not only gels but solutions as well, the in situ gel systems effectively address and solve some of the disadvantages posed by intranasal drug delivery systems. This review article aims to provide a general understanding of intranasal drug delivery systems and in situ gels, both separately and together as a combination, while underlining the importance of each and also providing examples from existing literature to display their range of applications.
Brain Tumor Classification using the Probabilistic-Deformable Fuzzy system and RideNN

: In the medicalfield, brain tumor classification is a very significant treatment process.The manual segmentation and classification of brain tumorsis a tedious and time-consuming process. Hence, automatic classification and segmentation methodsare very important.This paper presents brain tumor classification using a Probabilistic-deformable fuzzy system (PDFS) with RideNN. The overall procedure of the proposed approach involves four steps, such as pre-processing, segmentation, feature extraction, and classification. Initially, the input image is subjected to pre-processing. Then, the brain tumor segmentation is done using a new model calledthe Probabilistic-Deformable Fuzzy system.Itis developed by combining a deformable model anda fuzzy system.Then the result is combined using probability-based fusion. After the segmentation, feature extraction is carried out by extracting texture-based features such as Local Gradient Pattern (LGP) and tetrolet transform. Finally, the classification is performed based on the features extracted using RideNNwhichemploys Rider optimization Algorithm (ROA) for training the Neural network (NN). The performance of the brain tumor classification is based on PDFS-RideNNandevaluated based on sensitivity, specificity, and accuracy. The proposed PDFS-RideNNmethod achieves amaximal sensitivity of 93.18%, amaximal specificity of 98.67%, and amaximal accuracy of 98.25%.
Department of Economics Working Paper Series Global Climate Change and the Resurgence of Tropical Disease: An Economic Approach

We study the impact of global climate change on the prevalence of tropical diseases using a heterogeneous agent dynamic general equilibrium model. In our framework, households can take actions (e.g., purchasing bed nets or other goods) that provide partial protection from disease. However, these actions are costly and households face borrowing constraints. Parameterizing the model, we explore the impact of a worldwide temperature increase of 3C. We ﬁnd that the impact on disease prevalence and especially output should be modest and can be mitigated by improvements in protection efﬁcacy. Journal of Economic Literature Classiﬁcation:
SECTION 1. Macroeconomic processes and regional economies management

The paper presents the improvement of scientific and methodical approach to the identification of thresholds of indicators for the buildup of systemic financial risks. The testing of the approach developed by the example of the group of Central and Eastern European countries makes it possible to identify threshold and critical levels of indicators of macroeconomic development, which threaten the financial stability of the evaluated countries.
Supply and Demand for Independent Director Services: Major Board Decisions and Corporate Outcomes

Extensive research finds that shareholder and CEO preferences affect demand for director services. We find a large body of evidence showing that independent director reputation incentives influence the supply of director services. These reputation incentives vary across firms and over time, significantly influencing important board decisions and firm outcomes. When more independent directors rank a directorship highly, firms experience fewer actions that hurt shareholder wealth and director reputation and more actions that enhance shareholder wealth and director reputation. These results are invariant to alternative adjustments for potential endogeneity. We conclude that director reputation affects key board decisions and shareholder value by influencing director allocation of efforts across their multiple directorships. JEL classification: G30, G32, G34
ANALYSIS OF COLLISIONS INVOLVING REAR VISION

THE PROPORTION AND SEVERITY OF ACCIDENTS BELIEVED TO INVOLVE REAR VISION WERE ANALYZED. THE DATA WERE TAKEN FROM MICHIGAN'S OAKLAND AND WASHTENAW COUNTIES. IN THESE COUNTIES, RESPECTIVELY, LESS THAN 3.0% AND 1.4% OF ALL TWO-OR-MORE-VEHICLE COLLISIONS INVOLVED REAR VISION; THE SEVERITY OF THESE COLLISIONS WAS LESS THAN THE AVERAGE OF THE OTHER TWO-OR-MORE-VEHICLE COLLISIONS. WE CONCLUDE THAT THESE REAR-VISION COLLISIONS MAY BE REDUCED BY IMPROVING THE FIELD OF VIEW TO THE REAR, PARTICULARLY THE RIGHT REAR. LOW-COST METHODS, SUCH AS CONVEX MIRRORS, SEEM TO BE WARRANTED BASED ON THE ACCIDENT ANALYSIS AND ON EXPERIMENTAL STUDIES. /AUTHOR/
The effect of parents’ schooling on child’s schooling: A nonparametric bounds analysis

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How to make corrections to your proofs using Adobe Acrobat

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An interplay between the weak form of Peano's theorem and structural aspects of Banach spaces

In this paper we establish some new results concerning the Cauchy-Peano problem in Banach spaces. Firstly, we prove that if a Banach space $E$ admits a fundamental biorthogonal system, then there exists a continuous vector field $f\colon E\to E$ such that the autonomous differential equation $u'=f(u)$ has no solutions at any time. The proof relies on a key result asserting that every infinite-dimensional Fr\'echet space with a fundamental biorthogonal system possesses a nontrivial separable quotient. The later, is the byproduct of a mixture of known results on barrelledness and two fundamental results of Banach space theory (namely, a result of Pe{\l}czy\'nski on Banach spaces containing $L_1(\mu)$ and the $\ell_1$-theorem of Rosenthal). Next, we introduce a natural notion of weak-approximate solutions for the non-autonomous Cauchy-Peano problem in Banach spaces, and prove that a necessary and sufficient condition for the existence of such an approximation is the absence of $\ell_1$-isomorphs inside the underline space. We also study a kind of algebraic genericity for the Cauchy-Peano problem in spaces $E$ having complemented subspaces with unconditional Schauder basis. It is proved that if $\mathscr{K}(E)$ denotes the family of all continuous vector fields $f\colon E\to E$ for which $u'=f(u)$ has no solutions at any time, then $\mathscr{K}(E)\bigcup \{0\}$ is spaceable in sense that it contains a closed infinite dimensional subspace of $C(E)$, the locally convex space of all continuous vector fields on $E$ with the linear topology of uniform convergence on bounded sets.