Miracle-dz/UniFAR-FTUs huggingface dataset:
Poly[[μ2-aqua-tetraaquadi-μ3-malonato-nickel(II)strontium(II)] dihydrate]

The unit-cell parameters for the title mixed-metal coordination polymer, {[NiSr(C3H2O4)2(H2O)5]·2H2O}n, which is isostructural with its Co-containing analogue, were reported previously [Gil de Muro et al. (1999 ▶). Eur. J. Inorg. Chem. pp. 935–943]; the full crystal structure including a description of the hydrogen bonding is reported here. The Sr2+ ion is bonded to five O atoms from three different malonate dianions and four water molecules, displaying a distorted tricapped trigonal–prismatic coordination geometry. Two malonate dianions, two water molecules and one Ni2+ ion build up a dianionic [Ni(C3H2O4)2(H2O)2]2− unit incorporating a slightly distorted NiO6 octahedron, which coordinates to three nearby Sr2+ ions. This arrangement creates a metal-organic framework having a 20-membered ring with four Ni and six Sr atoms lying in the bc plane. The coordinated and uncoordinated water molecules are responsible for the formation of two D5 hydrogen-bonded water chains within the 20-membered ring and they are linked into an R4 water cluster via two bifurcated O—H⋯(O,O) links.
Industrial Cellolignin Wastes as Adsorbent for Removal of Methylene Blue Dye from Aqueous Solutions

Cellolignin, a by-product from the wood processing industry, was studied as a new, eco-friendly adsorbent for the removal of methylene blue cationic dye from aqueous solutions, using a batch adsorption procedure. Experimental data were processed in order to study the equilibrium, thermodynamics, and kinetics of methylene blue adsorption onto cellolignin. Between the two studied isotherm models (Freundlich and Langmuir) the Langmuir model better described the equilibrium adsorption data at temperatures higher than 25 °C; the mean free energy (E) values obtained from the Dubinin-Radushkevich isotherm model show that the sorption of dye occurs via surface electrostatic interactions with the active sites of the cellolignin. The equilibrium data were used to calculate the free energy, enthalpy and entropy changes, and isosteric heat of adsorption (ΔHX). Results confirm the feasibility and the endothermic nature of the adsorption process, suggesting that adsorption is a physico-chemical process. The isosteric heats of adsorption indicated energetic heterogeneity of adsorption sites and possible interactions between the adsorbed dye molecules. Kinetic assessment suggests that the adsorption process followed a pseudo-second order model and the rate-limiting step may be the binding of dye onto the adsorbent surface. The diffusion models show that intraparticle diffusion is not the sole rate-limiting step; the external mass transfer also influences the adsorption process in its initial period.
Elastography as a Potential Modality for Screening Cervical Lymph Nodes in Patients with Papillary Thyroid Cancer: A Review of Literature

Papillary thyroid cancer often presents with cervical lymph node involvement and has a high incidence of recurrence, which requires routine follow-up with ultrasound imaging. Elastography is a novel ultrasound technique that has been demonstrated to be effective clinically in detecting tissue pathology in areas such as the liver and breast. Preliminary data suggest that it may be effective in screening tissues in the neck for malignancy, specifically cervical lymph nodes. However, diagnostic criteria and elastographic techniques vary significantly among the studies we have reviewed, which all tend to focus on populations of patients with many different types of primary malignancies. Further research is required on the feasibility of creating standardized and reproducible clinical criteria in a specific patient population. To study the clinical utility of elastography in cervical lymph nodes, patients with diagnosed papillary thyroid carcinoma may serve as an ideal population because of their need for ultrasound surveillance and the propensity of papillary thyroid cancer to metastasize to and recur in cervical lymph nodes. We will review the limitations, techniques, and reported clinical utility of elastography on cervical lymph nodes and its potential as a screening modality for papillary thyroid cancer.
Marketing Database Analytics Transforming Data For Competitive Advantage

Thank you very much for downloading marketing database analytics transforming data for competitive advantage. As you may know, people have look numerous times for their chosen novels like this marketing database analytics transforming data for competitive advantage, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some malicious bugs inside their laptop.
SELECTION OF NUMERICAL AND NOMINAL FEATURES BASED ON PROBABILISTIC DEPENDENCE BETWEEN FEATURES

Data classification tasks often concern objects described by tens or even hundreds of features. Classification of such high-dimensional data is a difficult computational problem. Feature selection techniques help reduce the number of computations and improve classification accuracy. In Michalak and Kwasnicka (2006a, b) we proposed a feature selection strategy that selects features in an individual or pairwise manner based on the assessed level of dependence between features. In the case of numerical features, this level of dependence can be expressed numerically using linear correlation coefficients. In this paper, the feature selection problem is addressed in the case of a mixture of nominal and numerical features. The feature similarity measure used in this case is based on the probabilistic dependence between features. This similarity function is used in an iterative feature selection procedure, which we proposed for selecting features prior to classification. Experiments prove that using the probabilistic dependence similarity function along with the presented feature selection procedure can improve computation speed while preserving classification accuracy in the case of mixed nominal and numerical features.
Field and field-circuit description of electrical machines

The field and coupled field-circuit models of electrical machines are presented. The field model consists of: (a) finite element (FE) equations for the magnetic field, (b) equations describing eddy-currents and (c) equations, which describe the currents in the machinepsilas windings. Moreover the FE equations are coupled by the electromagnetic torque to the differential equations of motion. In the presented field-circuit model the flux linkages with the windings are expressed by two components. One component with inductances and the other described by edge or nodal values of the magnetic potential. The FE equations are derived by using the notation of circuit theory. The approach to consider the differential equation of motion in the simulation is discussed in the paper.
Effects of Personalization and Willingness to Share on Training Narratives.

SCHANTZ, DANIEL JORDAN. Effects of Personalization and Willingness to Share on Training Narratives. (Under the direction of Dr. Eric Wiebe). There is an increased use of eLearning systems to help industry professionals stay updated with knowledge about their field, but the content creators often do not consider ways to improve the learning process. The purpose of the current research is to investigate the effectiveness of personalizing eLearning tasks by populating a training narrative with personally relevant information to the learner. The research also investigates inconsistencies with previous personalization research by evaluating the impact of a person’s willingness to share personal information on learning. 387 participants were assigned to three groups; a control, a low personal relevance group, and a high personal relevance group. A Multivariate Analysis of Variance revealed that there was no significant differences in learning or intrinsic motivation between the three conditions. However, it was revealed, across all 3 conditions, that if a person is willing to share information, they will have lower workload scores. Implications for future personalization research is discussed. © Copyright 2016 by Daniel Jordan Schantz All Rights Reserved Effects of Personalization and Willingness to Share on Training Narratives by Daniel J. Schantz A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the degree of Masters of Science
Organizational Transitions: Managing Complex Change

organizational transitions managing complex change is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the organizational transitions managing complex change is universally compatible with any devices to read.
Information Uncertainty in Electricity Markets: Introducing Probabilistic Offers

We propose a shift from the current paradigm of electricity markets treating stochastic producers similarly to conventional ones in terms of their offers. We argue that the producers' offers should be probabilistic to reflect the limited predictability of renewable energy generation, while we should design market mechanisms to accommodate such offers. We argue that the transition from deterministic offers is a natural next step in electricity markets, by analytically proving our proposal's equivalence with a two-price conventional market.
Niche Brands: Understanding how niche fashion startups connect with Millennials

Purpose – The purpose of this paper is to investigate and understand how niche fashion startups brand toward Millennials. Millennials, also known as Generation Y, are becoming an important segment of the global population. Specifically, this study is designed to investigate if niche fashion brands successfully target and brand to Millennials consumers compared to mass-market brands on the following brand traits: brand self-congruency, perceived quality, brand prestige, brand loyalty, brand tribalism, and brand user image congruency. Design/methodology/approach –Two online surveys were conducted to compare Gap (massretailer) and Everlane (niche brand) on the seven brand components, and 46 valid surveys were collected. Findings – The study revealed that Everlane performed better than Gap on three branding elements (brand tribalism, brand user image congruency, and brand prestige suggesting that not only the Integrated Marketing Communications efforts taken by Everlane are targeting Millennials, but that through IMC, Everlane is crafting brand equity among the cohort. This study provides a model to study other Millennials and analyze the company against a comparable mass-market competitor. Research limitations/implications – Limitations for this study come from three sources: (1) the representativeness of the sample, (2) limited sampled brands, and (3) influence of other factors. Implications for brand managers, marketers, and retailers focus on strategies that influence the social and self-motivation for luxury consumption and level of brand consciousness. Originality/value – This research is unique and significant because it focuses on understanding the consumer behavior of Millennial consumers, an important segment in the market that is growing in market power. The study is the first to analyze new startups coined as ‘niche brands’ that are targeting Millennials and compare them to mass-market retailers.
Predictive control by local visual data - mobile robot model predictive control strategies using local visual information and odometer data

Nowadays, the local visual perception research, applied to autonomous mobile robots, has succeeded in some important objectives, such as feasible obstacle detection and structure knowledge. This work relates the on-robot visual perception and odometer system information with the nonlinear mobile robot control system, consisting in a differential driven robot with a free rotating wheel. The description of the proposed algorithms can be considered as an interesting aspect of this report. It is developed an easily portable methodology to plan the goal achievement by using the visual data as an available source of positions. Moreover, the dynamic interactions of the robotic system arise from the knowledge of a set of experimental robot models that allow the development of model predictive control strategies based on the mobile robot platform PRIM available in the Laboratory of Robotics and Computer Vision. The meaningful contribution is the use of the local visual information as an occupancy grid where a local trajectory approaches the robot to the final desired configuration, while avoiding obstacle collisions. Hence, the research is focused on the experimental aspects. Finally, conclusions on the overall work are drawn.
Estrogen Regulates the Development of Brain-Derived Neurotrophic Factor mRNA and Protein in the Rat Hippocampus

During development, estrogen has a variety of effects on morphological and electrophysiological properties of hippocampal neurons. Brain-derived neurotrophic factor (BDNF) also plays an important role in the survival and differentiation of neurons during development. We examined the effects of gonadectomy with and without estrogen replacement on the mRNA and protein of BDNF and its receptor, trkB, during early postnatal development of the rat hippocampus. We used immunocytochemistry to demonstrate that estrogen receptor α (ERα) and BDNF were localized to the same cells within the developing hippocampus. BDNF and ERα were colocalized in pyramidal cells of the CA3 subregion and to a lesser extent in CA1. To determine whether BDNF mRNA was regulated by estrogen during development, we gonadectomized male rat pups at postnatal day 0 (P0) and examined mRNA and protein levels from P0 to P25 using real-time reverse transcription-PCR and Western blot analysis. After gonadectomy, BDNF mRNA levels are significantly reduced on P7, but after treatment of gonadectomized animals with estradiol benzoate on P0, levels at all ages were similar to those in intact animals. BDNF mRNA changes after gonadectomy are accompanied by an increase in the levels of BDNF protein, which were reduced by estrogen treatment at P0. We also examined the effect of postnatal estrogen treatment on trkB. There were no significant changes in trkB mRNA or protein in gonadectomized or estrogen-replaced animals. These results suggest that a direct interaction may exist between ERα and BDNF to alter hippocampal physiology during development in the rat.
THE MEDIATION ROLE OF RELATIONSIP QUALITY PERCEPTION ON THE RELATIONSHIP BETWEEN RELATIONSHIP MARKETING ACTIVITIES AND RE-PURCHASE INTENTION

This study attempted to determine the effect of banks' relationship marketing operations on consumers' intentions of repurchasing and the mediator role of relational quality perception on this effect. Data used in this study were gathered through a questionnaire from 482 participants in Balikesir city centre. Descriptive statistics and structural equation modeling based on PLS algorithm (PLS-YEM) were used for the analysis. Results indicated that banks' relationship marketing operations significantly and positively affected consumers' intentions of repurchasing and relational quality perceptions of consumers had a complete mediator effect on this relationship.
THE ASSESSMENT OF FINANCIAL INFORMATION QUALITY WITH THE AID OF ANALYTIC HIERARCHY PROCESS: BANKING SECTOR CASE

Information lies behind the business operations. Data acquiered during the operations tranforms to information which helps decision making about the operations of the business. Thus the quality of the information gains importance. Within this study the assessment of financial information quality in the banking sector is figured out with the aid of analytic hierarchy process. Assessing the relative importance of the attributes is important because of considering the importance of the attributes by the stakeholders of financial information. As a result of this study access, accuracy, security, consistancy, and value added attributes found out to be the most important attributes of financial information quality.
CoroEval: a multi-platform, multi-modality tool for the evaluation of 3D coronary vessel reconstructions

We present a software, called CoroEval, for the evaluation of 3D coronary vessel reconstructions from clinical data. It runs on multiple operating systems and is designed to be independent of the imaging modality used. At this point, its purpose is the comparison of reconstruction algorithms or acquisition protocols, not the clinical diagnosis. Implemented metrics are vessel sharpness and diameter. All measurements are taken from the raw intensity data to be independent of display windowing functions. The user can either import a vessel centreline segmentation from other software, or perform a manual segmentation in CoroEval. An automated segmentation correction algorithm is provided to improve non-perfect centrelines. With default settings, measurements are taken at 1 mm intervals along the vessel centreline and from 10 different angles at each measurement point. This allows for outlier detection and noise-robust measurements without the burden and subjectivity a manual measurement process would incur. Graphical measurement results can be directly exported to vector or bitmap graphics for integration into scientific publications. Centreline and lumen segmentations can be exported as point clouds and in various mesh formats. We evaluated the diameter measurement process using three phantom datasets. An average deviation of 0.03 ± 0.03 mm was found. The software is available in binary and source code form at http://www5.cs. fau.de/CoroEval/.
CESIATION IN SURFACE PLASMA SOURCES

Cesiation effect, a significant enhancement of negative ion emission from a gas discharge with decrease of coextracted electron current below negative ion current was observed for the first time on July 1, 1971 by location into discharge a compound with one milligram of cesium [1]. This observation became the basis for the development of Surface Plasma Sources (SPS) for highly efficient production of negative ions from the interaction of plasma particles with electrodes on which adsorbed cesium reduced the surface work-function [2-5]. The emission current density of negative ions was increased rapidly from j~ 0.01 A/cm to 3.7 A/cm with a flat cathode and up to 8 A/cm with an optimized geometrical focusing in the long pulse SPS, and up to 1 A/cm in direct current (DC) SPS. Discovery of charge-exchange cooling helped to increase the negative ion brightness by many orders to a level comparable with the best proton sources, B=j/T> 1 A/cm eV. Intensity of negative ion beams was increased by cesiation up to 10 times from mA to tens of Amperes. Now cesiation is routinely used in SPS for negative ions injection into accelerators and into large fusion devices.
A Ground Contact Detection Method for a Six-Legged Robot by Motor Current

For a walking robot, detecting the contact force of the manipulator plays an important role in adapting to the unstructured environment or performing tasks at the disaster site. In this paper we describes a method that enables the six-legged robot Octopus II to detect the force exerted on its foot tip without any force sensor installed nearby. To realize this indirect measurement, the general idea is using motor current as the input, which varies in proportion to the output torque of the motor, to compute the force exerted to the foot tip. In this method, the direct kinematics model of the robot leg is established. The force Jacobian is derived. Experiments are designed and carried out to validate the method.
Policy Design and Implementation

This course aims to introduce students advanced topics in public policy from an interdisciplinary and comparative perspective using theories to explain government decisions and actions that account for public policy outcomes. It is based on seminars. It is about understanding what governments do and how they do it. This requires a nuanced understanding of the government’s policy formulation and implementation. This course looks at how government policies are formulated and implemented: how problems and solutions are defined and linked with policy making processes, why policy instruments are important and how they are designed, selected and implemented, linkages between organisational policy capacity and state capacity, how interactions among structural, institutional and agency-level contexts inform policy design and implementation, what roles ideas, interests and discourses mobilized by agents play in policy design and implementation, how and when policy instruments can trigger causal mechanisms that deliver desired outcomes, and how comparative political economy perspective helps us to understand policy design and implementation processes. This course equips students to better understand and evaluate policy design and implementation processes, and importantly provides tools to better understand why some policies deliver desired outcomes, whilst others do not. Students will be equipped with fundamental concepts, frameworks and tools needed to identify complex national and global policy problems and generate their innovative and practical solutions. Curated cases will be used to explore policy design and implementation in an interdisciplinary and comparative perspective. By the end of this course, students will be able to link various concepts,
Membrane Trafficking of the Cystic Fibrosis Gene Product, Cystic Fibrosis Transmembrane Conductance Regulator, Tagged with Green Fluorescent Protein in Madin-Darby Canine Kidney Cells*

The mechanism by which cAMP stimulates cystic fibrosis transmembrane conductance regulator (CFTR)-mediated chloride (Cl−) secretion is cell type-specific. By using Madin-Darby canine kidney (MDCK) type I epithelial cells as a model, we tested the hypothesis that cAMP stimulates Cl− secretion by stimulating CFTR Cl− channel trafficking from an intracellular pool to the apical plasma membrane. To this end, we generated a green fluorescent protein (GFP)-CFTR expression vector in which GFP was linked to the N terminus of CFTR. GFP did not alter CFTR function in whole cell patch-clamp or planar lipid bilayer experiments. In stably transfected MDCK type I cells, GFP-CFTR localization was substratum-dependent. In cells grown on glass coverslips, GFP-CFTR was polarized to the basolateral membrane, whereas in cells grown on permeable supports, GFP-CFTR was polarized to the apical membrane. Quantitative confocal fluorescence microscopy and surface biotinylation experiments demonstrated that cAMP did not stimulate detectable GFP-CFTR translocation from an intracellular pool to the apical membrane or regulate GFP-CFTR endocytosis. Disruption of the microtubular cytoskeleton with colchicine did not affect cAMP-stimulated Cl− secretion or GFP-CFTR expression in the apical membrane. We conclude that cAMP stimulates CFTR-mediated Cl− secretion in MDCK type I cells by activating channels resident in the apical plasma membrane.