Miracle-dz/UniFAR-FTUs huggingface dataset:
Service Composition Scenarios in the Internet of Things Paradigm

In this work the topic of service composition scenarios is introduced and discussed with the use of leading example of service composition in the transport domain. The example is used to visualize the connection to the Internet of Things paradigm. The service composition itself is defined with a holistic approach, describing all steps of the proposed composition process like: requirements definition, requirements decomposition or aggregation using domain ontology, composite service structure construction, service discovery, structure and service plan optimization. Lastly, implementation of service composition with service composition scenarios is discussed.
Corporate Political Activity: A Literature Review and Research Agenda

This paper reviews the diverse literature on corporate political activity (CPA) and develops a framework that details and integrates existing research in this field. A systematic analysis of extant CPA literatures is conducted to order them into domains that have implications for organizational performance. The paper is structured into three such domain emphases, which require further research investigation: resources and capabilities focus; institutional focus; and political environment focus. The contribution of each to an understanding of CPA in pursuit or defence of corporate competitive advantage is discussed. The authors also suggest that the internationalization of business, including the more recent emergence of developing country economies and companies, presents scholars with the challenge of understanding CPA in more varied institutional settings. CPA practices continue to expand as commerce goes increasingly global and, consequently, involves a wider array of political actors and institutions. The paper contributes by increasing the clarity of CPA classification, reflecting on the implications of a multi‐polar world for CPA research and advancing future agendas for scholars in this research community.
The Effect of Depleted Resources and Weak Preferences on Consumer Choice

A substantial body of psychological literature points to one underlying resource used to regulate behavior and exert self-control. In this paper we claim that when preferences are weak, then depleting the resource used to actively control and consciously guide behavior has a profound influence on choices. In four experiments, we demonstrate the interaction between depletion and subsequent choices, using context effects (e.g., compromise or attraction) and the no-choice option paradigm. The results shed light on the mechanism underlying the effects of context on choices when resources are depleted and beliefs (preferences) are weak.
Over-Expression, Secondary Structure Characterization, and Preliminary X-ray Crystallographic Analysis of Xenopus tropicalis Ependymin

The gene encoding frog (Xenopus tropicalis) ependymin without the signaling sequence was gene-synthesized, and the protein successfully over-expressed in ~mg quantities adequate for crystallization using insect cell expression. Circular dichroism (CD) analysis of the protein purified with >95% homogeneity indicated that ependymin contains both α-helix and β-strand among the secondary structure elements. The protein was further crystallized using polyethylene glycol 8000 as the precipitating reagent, and X-ray diffraction data were collected to 2.7 A resolution under cryo-condition at a synchrotron facility. The crystal belongs to a hexagonal space group P6122 (or P6522) having unit cell parameters of a = b = 61.05 A, c = 234.33 A. Matthews coefficient analysis indicated a crystal volume per protein mass (VM) of 2.76 A3 Da−1 and 55.4% solvent content in the crystal when the calculated molecular mass of the protein only was used. However, the apparent SDS-PAGE molecular mass of ~33 kDa (likely resulting from N-glycosylation) suggested VM of 1.90 A3 Da−1 and 35.4% solvent content instead. In both cases, the asymmetric unit of the crystal likely contains only one subunit of the protein.
OF THE Z-DIRECTION STRENGTH PROPERTIES OF PAPER BY USE OF ACOUSTIC EMISSION MONITORING

In the quality assessment of paper, a standard test referred to as the Z-test is often utilised. It consists in gluing a piece of paper between two circular metallic grips and loading it with a tensile load in the thickness direction of the paper. The fracture load or rather the maximum load the paper specimen can withstand is then taken as a measure of the Z-direction strength of the paper tested. The interpretation of the results and how to use the results has been and still is a question of some controversy. To shed some light over the deformation or damage processes active when a paper is loaded in the thickness direction, specially designed grips were developed and manufactured. The grips are designed in such a way that they admit that acoustic emission (AE) sensors are mounted in the grips. In this paper, the method is presented together with a simple analytical model, relevant for the Z-test. Also, some experimental results are given and it is concluded that the analytical model can, at least in a qualitative way, predict not only the load versus displacement behaviour but also the total number of AE events versus displacement relation.
RECON UWB ANTENNA FOR COGNITIVE RADIO

This paper talks about a simple printed reconfigurable antenna for cognitive radio. This antenna can be switched between ultra-wideband (UWB) and two other narrow bands. To achieve frequency reconfigurability, horizontal slots are inserted in the partial ground plane, and their lengths are varied by using ideal switches. These switches are incorporated so that they can be turned ON/OFF independently. The proposed antenna is suitable for cognitive radio as it is capable of sensing whole UWB from 3.1 GHz to 10.6 GHz (7.5 GHz bandwidth) and switching between two different narrow bands viz. 3.1 GHz and 8.23 GHz, and the corresponding observed gain and radiation pattern are also as per the requirement.
Reconstructing annual inflows to the headwater catchments of the Murray River, Australia, using the Pacific Decadal Oscillation

The Pacific Decadal Oscillation (PDO) is a major forcing of inter‐decadal to quasi‐centennial variability of the hydroclimatology of the Pacific Basin. Its effects are most pronounced in the extra‐tropical regions, while it modulates the El Niño Southern Oscillation (ENSO), the largest forcing of global inter‐annual climate variability. Palaeo‐PDO indices are now available for at least the past 500 years. Here we show that the >500 year PDO index of Shen et al. (2006) is highly correlated with inflows to the headwaters of Australia's longest river system, the Murray‐Darling. We then use the PDO to reconstruct annual inflows to the Murray River back to A.D. 1474. These show penta‐decadal and quasi‐centennial cycles of low inflows and a possible 500 year cycle of much greater inflow variability. Superimposed on this is the likely influence of recent anthropogenic global warming. We believe this may explain the exceptionally low inflows of the past decade, the lowest of the previous 529 years.
Human Capital and Productivity Growth in Italian Regional Economies: A Sectoral Analysis

The paper examines the relationship between human capital and productivity growth with reference to the Italian regions. Two approaches can be distinguished. One belonging to the neoclassical tradition stresses the accumulation of human capital as a determinant of growth, while the other, inspired by Nelson and Phelps, emphasizes the role of the stock in developing endogenous technology and catching up with more advanced economies. These hypotheses have been tested at an aggregate level but results might be the overall outcome of different processes across sectors due to the different catching-up potential. In particular we expect the Nelson-Phelps hypothesis to be more relevant in the industrial sector where innovation is the most important growth determinant. A model is estimated which allows to test both the neoclassical and the Nelson-Phelps hypotheses breaking down the analysis by sector. The results do not confirm our expectations. In the industrial sector the neoclassical hypothesis is clearly rejected by the data. Some evidence supporting the Schumpeterian one can be detected when the technical component of human capital is taken into account but it is not robust to changes in the model specification. In the service sector the results are inconclusive as well. A positive and significant effect of human capital accumulation has been found for the whole sector but the explanatory power of this variable decreases considerably in the marketable services branch.
Noise cross-correlation sensitivity kernels

SUMMARY We determine finite-frequency sensitivity kernels for seismic interferometry based upon noise cross-correlation measurements. Under the assumptions that noise is spatially uncorrelated but non-uniform, we determine ensemble-averaged cross correlations between synthetic seismograms at two geographically distinct locations. By minimizing a measure of the difference between observed and simulated ensemble cross correlations—subject to the constraint that the simulated wavefield satisfies the seismic wave equation—we obtain ensemble sensitivity kernels. These ensemble kernels reflect the sensitivity of ensemble cross-correlation measurements to variations in model parameters, for example, mass density, shear and compressional wave speeds and the spatial distribution of noise. Ensemble kernels are calculated based upon the interaction between two wavefields: an ensemble forward wavefield and an ensemble adjoint wavefield. To obtain the ensemble forward wavefield, one first calculates a generating wavefield obtained by inserting a signal determined by the characteristics of the noise at the location of the first receiver, saving the results of this calculation at locations where noise is generated, that is, typically on (a portion of) the Earth's surface. Next, one uses this generating wavefield as the source of the ensemble forward wavefield associated with the first receiver. The ensemble adjoint wavefield is obtained by using measurements between simulated and observed ensemble cross correlations as a seismic source located at the second receiver. The interaction between ensemble forward and adjoint wavefields ‘paints’ ensemble sensitivity kernels. We illustrate the construction of ensemble kernels and their nature in two and three dimensions using a spectral-element method. In addition to a ‘banana-doughnut’ feature connecting the two receivers, as in traditional finite-frequency earthquake tomography, some noise cross-correlation sensitivity kernels exhibit hyperbolic ‘jets’ protruding from each receiver in a direction away from the other receiver. Ensemble sensitivity kernels for long-period (T > ∼ 50 s) non-uniform noise in global models exhibit sensitivity along the minor and major arcs. These kernels reflect the fact that measurements typically involve long time-series that include multi-orbit surface waves. Like free oscillations, such measurements are sensitive to structure along the great circle through the two receivers. From the perspective of noise cross-correlation tomography, we discuss strategies for inversions in terrestrial and helioseismology.
MODEL TRANSPORTASI PENGIRIMAN PRODUK PERISHABLE DENGAN MULTI KENDARAAN

Abstract : According to Graf theory, the shortest path determination is a problem of looking for a path between two vertices in a weighted graph to obtain the minimum amount of weight.The determination of the shortest path problem also called optimization problem. Several algorithms have been developed in solving this problem. Each algorithm has a different way of solving a particular problem. In this study, the development of algorithms was carried out to determine the critical path from one origin point to one destination point on a network for the delivery of perishable products that limited time window to minimize the total cost and the selection of vehicles that will be used for solving the problem.The Algorithm that developed is Dijkstra algorithm. The first stages of the algorithm development is to modify the network of the studied problem by making the network replication. The second stage is to make problem-solving steps to minimize the total cost, consists of a fixed cost, variable cost, vehicle turnover costs, deterioration cost and parking fees with modified Dijkstra algorithm because the problems can not be modeled mathematically.To test the developed algorithm, we used numerical examples with hypothetical dataKeywords: perishable product; deterioration; time window; modified Dijkstra algorithmAbstrak : Menurut teori Graf, penentuan rute terpendek merupakan suatu persoalan mencari lintasan antara dua buah simpul pada graf berbobot untuk mendapatkan jumlah bobot yang paling minimum. Permasalahan penentuan rute terpendek disebut juga masalah optimasi.Beberapa algoritma telah dikembangkan dalam pemecahan masalah ini. Setiap algoritma memiliki cara yang berbeda dalam menyelesaikan suatu permasalahan tertentu. Pada penelitian ini, dilakukan pengembangan algoritma untuk menentukan lintasan kritis dari satu titik asal ke satu titik tujuan pada suatu jaringan untuk pengiriman produk perishable dan dibatasi jendela waktu dengan meminimumkan total biaya sekaligus pemilihan jenis kendaraan yang akan digunakan untuk pemecahan masalah. Algoritma yang dikembangkan adalah Algoritma Dijkstra. Tahapan awal pengembangan algoritma adalah memodifikasi jaringan dari masalah yang diteliti dengan cara membuat replikasi jaringan. Tahapan kedua adalah membuat langkah pemecahan masalah untuk meminimumkan total biaya yaitu biaya tetap, biaya variabel, biaya pergantian kendaraan, biaya deteriorasi dan biaya tunggu dengan modifikasi Algoritma Dijkstra. Modifikasi Dijkstra dilakukan karena permasalahan yang diteliti tidak bisa dimodelkan secara matematis. Pengujian algoritma menggunakan contoh numerik dengan data hipotetik.Kata kunci: produk perishable; deteriorasi; jendela waktu; modifikasi Algoritma Dijkstra.
Effects of Drought Frequency on Growth Performance and Transpiration of Young Black Locust (Robinia pseudoacacia L.)

Black locust (Robinia pseudoacacia L.) is a drought-tolerant fast growing tree, which could be an alternative to the more common tree species used in short-rotation coppice on marginal land. The plasticity of black locust in the form of ecophysiological and morphological adaptations to drought is an important precondition for its successful growth in such areas. However, adaptation to drought stress is detrimental to primary production. Furthermore, the soil water availability condition of the initial stage of development may have an impact on the tree resilience. We aimed to investigate the effect of drought stress applied during the resprouting on the drought tolerance of the plant, by examining the black locust growth patterns. We exposed young trees in lysimeters to different cycles of drought. The drought memory affected the plant growth performance and its drought tolerance: the plants resprouting under drought conditions were more drought tolerant than the well-watered ones. Black locust tolerates drastic soil water availability variations without altering its water use efficiency (2.57 g L−1), evaluated under drought stress. Due to its constant water use efficiency and the high phenotypic plasticity, black locust could become an important species to be cultivated on marginal land.
Critical success factors for quality management implementation in Russia

Compared to the rest of the world, quality management in Russia is still in its infancy. Unless an appropriate quality culture is developed to support and sustain quality management practices, it would be ineffective to introduce quality management systems into Russia. In this article, several critical success factors are identified to promote the effectiveness of quality training and management in Russian organizations.
Task Scheduling Algorithm Using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in Cloud Computing

The cloud computing is considered as a computational model which provides the uses requests with resources upon any demand and needs.The need for planning the scheduling of the user's jobs has emerged as an important challenge in the field of cloud computing. It is mainly due to several reasons, including ever-increasing advancements of information technology and an increase of applications and user needs for these applications with high quality, as well as, the popularity of cloud computing among user and rapidly growth of them during recent years. This research presents the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), an evolutionary algorithm in the field of optimization for tasks scheduling in the cloud computing environment. The findings indicate that presented algorithm, led to a reduction in execution time of all tasks, compared to SPT, LPT, and RLPT algorithms.Keywords: Cloud Computing, Task Scheduling, Virtual Machines (VMs), Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
Protection of Labour Rights in the Age of Democratization and Economic Restructuring in Southern Africa

The contours of human rights, especially labour rights, have undergone significant shifts in the recent past in Southern Africa. Labour law regimes have been overhauled, resulting in large-scale changes, liberalization of controls over trade unions, loosening of strictures relating to the right to strike, freeing collective bargaining from excessive governmental interference and the extension of protective legislation to previously excluded workers. These developments have been a function of dramatic changes throughout die region. The transition in Soudiern Africa has encompassed die political, economic and legal fabrics of most countries. It has been under way since die late 1980s and is being extended daily. In die constitutional zone, diere is a discernible trend towards the constdtutionalization of social rights, thus settling the debate regarding positive and negative rights in favour of the interdependence, indivisibility and interconnectedness of human rights. The transformation in Soudiern Africa is emblematic of three critical developments: democratization, economic liberalization and paradigmatic transitions in law.
Modeling of Millimeter Wave Backscatter of Time-Varying Snowcover — Summary

The temporal variation of millimeter wave backscatter signature of snowcover is studied based on a dense medium radiative transfer (DMRT) theory and a one-dimensional mass and energy balance model of snow named SNTHERM. The multilayer DMRT scattering model of snowcover developed in this work takes into account the reflection and refraction at the snow-snow interfaces. Appropriate boundary conditions, quadrature points and weights are selected for using the discrete-ordinate eigenanalysis method to solve the multilayer DMRT equations. It shows that the inclusion of reflection and refraction at the snow-snow interfaces may affect the model prediction. Cohesive spherical particles are applied to account for the clustering feature of snow grains. To model the time-varying behavior of snowcover, SNTHERM is employed to simulate the aging process of snow. SNTHERM provides pertinent snow parameters, such as grain size, density, liquid water content, and stratification with a high resolution in time and depth. The.
LOGICAL ARGUMENTATION ON THE BASIS OF STATE EXAMINATION COMPOSITIONS

The present article discusses students’ argumentative skills as refl ected in state examination compositions. The study focuses on the question whether students can logically argue in state exam compositions. For the given purpose 1700 state examination compositions from the years 1997, 2004, 2005, 2006 and 2008 were analysed employing as methods T.A. van Dijk’s macrostructures and M.Hoey’s superstructures, the latter was related to the structure of the argumentative text type. The article discusses the logic of the argumentative text type: the correlation between the third paragraph and the logic of the paragraphs is analyzed, the comparison of the two most frequently used clusters deduced from the cluster analysis are presented with the respective examples of argumentation structures. The main problem of argumentation lies in the perception of the types of argumentation structures: as soon as multiple, coordinative or subordinative argumentation was employed in compositions, the logic of the argumentative structure suffered. During the learning process the specifi c characteristics of argumentation need to be explained in greater detail. Thus far the Estonian teaching materials have discussed single argumentation, however, mostly neglected the topic of text coherence.
Developing an autonomous mobile robot and a study of navigation towards nonholonomic problems

In this paper, we present the first stage of developing mobile robot for use in a study of mobile robot navigation and its stability. Three basic navigation problems for Nonholonomic mobile robot are tracking a reference trajectory, path following and desire posture stabilization. In this study, we will focus on the trajectory tracking which means tracking reference trajectories predefined or given by path planners. The kinematics controller is usually applied to control the robot position and motion path. It is assumed that masses as well as inertias of the robot and wheels are negligible. Therefore the stability and robustness of the wheeled mobile robot cannot be analyzed. Furthermore, in many research and developments of mobile robot in trajectory tracking stability, one of the problems faced by the researches was sudden increase in motor speed (also known as speed jump or velocity jump) during the first few moments of motor’s rotation which results in the tracking error occurred during the trajectory. Above drawbacks can be overcome by including a dynamic modeling in the motion controller.
Inhibition of the BER Factor APE1 Disrupts Repair of Double-Strand DNA Damage in Cells Treated with Low Dose-Rate, but Not High Dose-Rate XRadiation

Introduction: Radiotherapy is utilised in the treatment of many cancers, but its efficacy is limited by normal tissue toxicity and new radiotherapy techniques are thus urgently sought. The AP endonuclease APE1 is involved in repair of single strand DNA damage through the break excision repair (BER) pathway and altered levels of APE1 have been found in some cancers. In this study, we investigated the effects of APE1 inhibition, using the APE1-specific inhibitor CRT0044876 (CRT), in tumour cells following exposure to either high dose-rate (HDR) or low dose-rate (LDR) X-irradiation. Materials and Methods: Treatment efficacy was assessed by clonogenic assay followed by isobologram analysis to assess potential synergy. Cell cycle distribution was assessed by propidium iodide staining followed by flow cytometry. Induction of DNA damage and repair was assessed by single cell gel electrophoresis and by H2A.X phosphorylation. Results: In isobologram analysis of clonogenic assays, combinations of CRT and both HDR and LDR X-irradiation resulted in supra-additive levels of cytotoxicity. Cell cycle analysis showed that, while CRT had no effect on cell cycle distribution, HDR or LDR X-irradiation, and CRT-HDR or CRT-LDR combination treatment induced significant G2/M arrest. However, CRT-HDR combinations induced significantly less G2/M accumulation than HDR alone. Analysis of DNA damage indicated that treatment with HDR or LDR X-irradiation and CRT-HDR and CRT-LDR combinations induced significant double-strand DNA damage. Cells treated with CRT-HDR exhibited a significant reduction in γH2A.X foci 24 h after treatment compared to 1 h, suggesting induction of DNA repair mechanisms. However, in cells treated with CRT-LDR, there was no significant difference between H2A.X phosphorylation at 24 h compared to 1 h, suggesting disruption of dsDNA repair pathways. Conclusions: Pharmacological inhibition of APE1 enhances the cytotoxicity of high dose-rate and low dose-rate X-irradiation by different mechanisms.