Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS MEDIASI GREEN TRUST PADA PURCHASE INTENTION PRODUK GREEN

In today's era, consumer's attitude in choosing and using the product start to change. Consumers begin to have awareness and concern about the impact of consumption on the environment. Many consumers are now choosing green products because of better value and functionality for consumers and the environment. This study aims to analyze the effect of green perceived value and green perceived risk on green purchase intention with green trust as mediation. Data was obtained by distributing questionnaires to consumers who visit Electronics City Pondok Indah Mall. Sampling technique applied in this research is systematic random sampling. Data was analyzed using SEM (Structural Equation Modeling).
Hierarchical pinning model in correlated random environment

We consider the hierarchical disordered pinning model studied in [9], which exhibits a localization/delocalization phase transition. In the case where the disorder is i.i. d. (independent and identically distributed), the question of relevance/irrelevance of disorder (i.e. whether disorder changes or not the critical properties with respect to the homogeneous case) is by now mathematically rather well understood [14,15]. Here we consider the case where randomness is spatially correlated and correlations respect the hierarchical structure of the model; in the non-hierarchical model our choice would correspond to a power-law decay of correlations. In terms of the critical exponent of the homogeneous model and of the correlation decay exponent, we identify three regions. In the first one (non-summable correlations) the phase transition disappears. In the second one (correlations decaying fast enough) the system behaves essentially like in the i.i. d. setting and the relevance/irrelevance criterion is not modified. Finally, there is a region where the presence of correlations changes the critical properties of the annealed system.
Long-term regional precipitation disparity in northwestern China and its driving forces

Abstract. Subject to the unique physical setting of northwestern China (NW China), precipitation in the region is characterized by salient regional differences. Yet, the long-term regional precipitation disparity in NW China still remains insufficiently-explored. In the present study, we base on historical documentation to reconstruct the precipitation indices of two macro regions in NW China between AD580–1979 to address the following issues: (1) determine the multi-decadal to centennial regional precipitation disparity in NW China, a topic which has not been systematically examined in previous paleo-climate/paleo-environment studies; and (2) find the major driving forces behind it. Wavelet analysis, which is ideal for analyzing non-stationary systems, is applied. Our results show that there is significant regional discrepancy of precipitation change in NW China over extended period. Although there is significant association between the regional precipitation disparity in NW China and various modes of atmospheric circulation, the association is characterized by a regime shift during the transition from the Medieval Warm Period to the Little Ice Age. Most importantly, the low-frequency cycle of the El Nino–Southern Oscillation is found to be the most prominent pacemaker of regional precipitation disparity in NW China at the multi-decadal to centennial timescales. Our findings help to demonstrate which atmospheric circulation is primarily responsible for the long-term regional precipitation disparity in NW China, which may have important implications for water resource management in NW China in the near future.
Ion motion in salt water flowing under a transverse magnetic field

The problem of ion motion in an electrolyte solution flowing in a thin rectangular duct with velocity VE in the presence of a transverse magnetic field B0 is studied by means of classical mechanics and electrodynamics. Because of Lorentz force on the ions in the electrolyte solution, a so called Faraday voltage appears at the electrodes orthogonal to both the field B0 and the velocity VE. The dynamics of positive and negative ions (cations and anions, respectively) in this classical system is studied by taking into account the viscosity of the fluid and the process of charge accumulation on the opposite walls of the duct. Hydrogen production is seen to take place at one of the electrodes when salt water is taken as the flowing electrolyte.
Probability density functions of long-lived tracer observations from satellite in the subtropical barrier region: data intercomparison

Past studies have shown that a clear relationship exists between the field of a passive tracer and the Probability Distribution Function (PDF) of tracer concentrations, which can be exploited to identify the position and variability of stratospheric barriers to isentropic mixing. In the present study, we focus on the dynamical barrier located in the subtropics. We calculate PDFs of the long-lived tracers nitrous oxide (N(2)O) and methane (CH(4)) from different satellite instruments: the Microwave Limb Sounder (MLS) on board Aura, the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on board Envisat, the Sub-Millimetre Radiometre (SMR) on board Odin and the Halogen Occultation Experiment (HALOE) on board UARS, overall covering the time period of 1992-2009. An analysis of the consistency among the different sets of data and their capability of identifying mixing regions and barrier-to-transport regions in the stratosphere and the subtropical barrier location is a prime aim of the present study. This is done looking at the morphological structure of the one-and two-dimensional PDFs of tracer concentrations measured by the different instruments. The latter differ in their spatial and temporal sampling and resolution, and there are some systematic differences in the determination of the subtropical barrier position that have been highlighted. However, the four satellite instruments offer an overall consistent picture of the subtropical barrier annual cycle. There is a strong seasonality consistently represented, characterized by the wintertime shift of the subtropical edge toward the summer hemisphere. However, the influence of the Quasi Biennial Oscillation (QBO) on isentropic transport and mixing, and by consequence, on the position of the subtropical barrier, is not equally represented in all satellite data using the methodology proposed.
Reliability of the GAITRite(R) Walking System for the assessment of gait in individuals with Parkinson's disease

Background: The need exists for reliable methods to evaluate spatial and temporal parameters of gait in individuals with Parkinson’s disease (PD). This is important in an attempt to track the disease progression and to determine the most effective and efficient treatment interventions. Multiple methods of gait analysis exist, but as of now, no clinically-useful, objective tool has been found to be reliable or sensitive to gait impairments in persons with PD. Although the GAITRite walking system has been found to be valid and reliable for normal adult gait, the reliability of its use for individuals with PD has not been established. Purpose: To determine the test-retest reliability of the GAITRite system for measurement of gait parameters in individuals with PD. Methods: 20 subjects age 49-85 years with a diagnosis of PD volunteered for the study. Subjects were asked to complete up to four trials of walking the length of the GAITRite walking system at his/her normal walking pace with shoes on. Subjects were given a two minute rest period between the first three trials and a 10 minute rest between the 3 and 4 trials. An Interclass Correlation Coefficient (ICC) was used to determine the test-retest reliability of each gait variable of the GAITRite system for individuals with PD, p ≤ 0.05. Results: The ICC’s for all gait parameters were 0.89 or higher. Specifically, the ICC’s for mean normalized velocity, step length, stride length, double support, and base of support (step width) demonstrated very good reliability (ICC = 0.93 – 0.99). The test-retest reliability for cadence and single limb support was good (ICC = 0.89). Conclusion: The GAITRite system is a highly reliable assessment tool for evaluating the temporal and spatial parameters of gait typically affected in individuals with PD.
Group Therapy for Substance Use Disorders: A Survey of Clinician Practices

ABSTRACT Substance use disorder (SUD) treatment is typically delivered in group format, but clinical research focuses on individual therapy. This exploratory study narrows this gap through a survey of 566 SUD group clinicians in the United States, concerning most commonly used group practices, attitudes about evidence-based treatments (EBTs), and beliefs about addiction. Clinicians reported high use of open groups, moderately high utilization of EBT practices, and moderate use of questionable practices. Clinicians' attitudes about EBTs and beliefs about addiction were correlated with the use of certain EBTs and questionable practices. Strategies for implementation of EBTs in group settings are discussed.
Scalable Cylindrical Metallodielectric Metamaterials

We report a new approach for scalable manufacturing of MetaMaterials fabricated through floating and rolling-up flexible metallodielectric stacks. This process offers an efficient fabrication route for multi-layer structures, improving the uniformity and enabling unusual structural configurations. Probing example metallic Bragg structures spectroscopically shows good agreement with transfer matrix simulations, demonstrating strong reflection and transmission resonances within the visible. These resonances arise from the Bragg nature of the multi-layer: at specific resonant frequencies the optical field of the light tunnels through the metal with a hundred-fold reduction in loss. Such structures have unusual nonlinear optical properties and many applications in sub-wavelength focusing and metamaterial activity.
Reducing the View Selection Problem through Code Modeling: Static and Dynamic approaches

Data warehouse systems aim to support decision making by providing users with the appropriate information at the right time. This task is particularly challenging in business contexts where large amount of data is produced at a high speed. To this end, data warehouses have been equipped with Online Analytical Processing tools that help users to make fast and precise decisions through the execution of complex queries. Since the computation of these queries is time consuming, data warehouses precompute a set of materialized views answering to the workload queries. This thesis work defines a process to determine the minimal set of workload queries and the set of views to materialize. The set of queries is represented by an optimized lattice structure used to select the views to be materialized according to the processing time costs and the view storage space. The minimal set of required Online Analytical Processing queries is computed by analyzing the data model defined with the visual language CoDe (Complexity Design). The latter allows to conceptually organize the visualization of data reports and to generate visualizations of data obtained from data-mart queries. CoDe adopts a hybrid modeling process combining two main methodologies: user-driven and data-driven. The first aims to create a model according to the user knowledge, requirements, and analysis needs, whilst the latter has in charge to concretize data and their relationships in the model through Online Analytical Processing queries. Since the materialized views change over time, we also propose a dynamic process that allows users to (i) upgrade the CoDe model with a context-aware editor, (ii) build an optimized lattice structure able to minimize the effort to recalculate it, and (iii) propose the new set of views to materialize. Moreover, the process applies a Markov strategy
The Inclusion of Gamification Solutions to Enhance User Enjoyment on Crowdsourcing Platforms

Games with a purpose offer the opportunity to motivate volunteers to participate in citizen science projects in a fun and engaging manner. In this regard, this paper introduces the gamification concepts present in our browser-based crowd-sourcing platform. The aim of these elements is to encourage users to voluntarily use their leisure time on regular basis to record and annotate data in a fun and playful environment. To ensure our platform appeals to a wide range of players, a variety of gamification elements aimed at different player groups are integrated including gamerscore, leaderboards, badges and bonus items to name but a few examples. To evaluate the effectiveness of these inclusions we conducted user surveys of 33 new players. This analysis indicates that the gamification additions increase user engagement and gratification when performing elementary crowdsourcing tasks.
The Mechanistic Function of the NOD-like Receptor NLRX1 in Apoptosis and Cell Death in the Nervous System

The mitochondrial protein NLRX1 belongs to the family of cytosolic nucleotide-binding and oligomerization domain (NOD)-like receptors (NLRs). NLRs respond to invasive pathogens, and danger signals released from dead or dying cells. The function of NLRX1 was previously reported to be in anti-viral immunity, however we propose a non-immune role for this protein in apoptosis. We show here the function of NLRX1 to be inhibitory to extrinsic apoptosis and permissive to intrinsic apoptosis. Furthermore, we validate the previously reported interaction between NLRX1 and sterile-α and TIR motif containing protein 1 (SARM1). SARM1 is expressed in the nervous system, and has a pro-apoptotic function in addition to its role in promoting Wallerian degeneration. We found NLRX1 to have both SARM1-dependent and -independent functions during apoptosis. Furthermore, we test NLRX1 function during Wallerian degeneration following axotomy, and a central nervous system injury model involving ischemic stroke.
Principles of bar induction and continuity on Baire space

Brouwer-operations, also known as inductively defined neighbourhood functions, provide a good notion of continuity on Baire space which naturally extends that of uniform continuity on Cantor space. In this paper, we introduce a continuity principle for Baire space which says that every pointwise continuous function from Baire space to the set of natural numbers is induced by a Brouwer-operation. Working in Bishop constructive mathematics, we show that the above principle is equivalent to a version of bar induction whose strength is between that of the monotone bar induction and the decidable bar induction. We also show that the monotone bar induction and the decidable bar induction can be characterised by similar principles of continuity. Moreover, we show that the Π01 bar induction in general implies LLPO (the lesser limited principle of omniscience). This, together with a fact that the Σ01 bar induction implies LPO (the limited principle of omniscience), shows that an intuitionistically acceptable form of bar induction requires the bar to be monotone.
Flutter prediction, suppression and control in aircraft composite wings as a design prerequisite: a survey

Emergence of flutter compromises not only the long‐term durability of the wing structure, but also the operational safety, flight performance and energy efficiency of the aircraft. Effectual means of flutter prevention are, therefore, mandatory in the certification of new flight vehicles. This work intends to address the flutter phenomenon highlighting the above issues, and reviews some of the most recent theoretical and experimental developments in flutter analyses. In the following subsections, theoretical, computational and experimental flutter for composite structures is pursued. In particular, panel flutter, thrust‐induced flutter, wing/store‐type flutter, non‐linear flutter, damaged panel flutter, flutter in compressed flow and flutter control via neural networks are covered. Effects of fibre/ply orientation on flutter are also briefly covered. The review further looks into aerothermoelastic behaviour of composite structures buckling problem and hopf bifurcation point determination. Analysed flutter of actively/passively controlled composite structures is critically reviewed due to the emphasized importance in modern structures. It is appreciable that the knowledge gained from the study of flexible structures and unsteady airflows in aircraft can be transitioned back to more traditional flutter studies. It is hoped that this review work will stimulate research and collaborations that will lead to significant progress in the understanding of this dynamically rich and potentially important area of enhancement of flutter prediction, suppression and control of active and passive composite aircraft structures. Copyright © 2006 John Wiley & Sons, Ltd.
Analysis of Network Attack and Defense Strategies Based on Pareto Optimum

Improving network security is a difficult problem that requires balancing several goals, such as defense cost and need for network efficiency, to achieve proper results. Modeling the network as a game and using optimization problems to select the best move in such a game can assist network administrators in determining an ideal defense strategy. However, most approaches for determining optimal game solutions tend to focus on either single objective games or merely scalarize the multiple objectives to a single of objective. In this paper, we devise a method for modeling network attacks in a zero-sum multi-objective game without scalarizing the objectives. We use Pareto Fronts to determine the most harmful attacks and Pareto Optimization to find the best defense against those attacks. By determining the optimal solutions through those means, we allow network administrators to make the final defense decision from a much smaller set of defense options. The included experiment uses minimum distance as selection method and compares the results with a minimax algorithm for the determination of the Nash Equilibrium. The proposed algorithm should help network administrators in search of a hands-on method of improving network security.
Energetic approach to study the plastic behaviour in CT specimens

Thermography is very useful for characterising fracture mechanics behaviour of stainless steels. In this work, the technique is proposed for evaluating the intrinsic dissipations occurring in the plastic area around the crack tip in order to study the fatigue crack growth. The existing experimental techniques involve accurate equipment and setup for assessing an estimation of the energy dissipated ahead the crack tip, in this way such the usability of these methods is restricted to just laboratory tests. Otherwise, the use of thermography based approach allows accurate analysis of energy variation occurring in a very localised area of the material. In particular, the adopted approach is based on thermal signal investigation in the frequency domain for separating the temperature values related to energy of dissipative processes that occur at twice the loading frequency.
Phytophthora Root Rot Resistance in Soybean E00003

phytophthora root rot (prr) is a devastating disease in soybean [Glycine max (L.) Merr. ] production. Michigan elite soybean E00003 is resistant to Phytophthora sojae and has been used as a resistance source in breeding. Genetic control of prr resistance in this source is unknown. To facilitate marker-assisted selection (MAS), the prr resistance loci in E00003 and their map locations need to be determined. In this study, a genetic mapping approach was used to identify major prr-resistant loci in E00003. The mapping population consists of 240 F4–derived lines developed by crossing E00003 with the P. sojae susceptible line pI 567543C. In 2009 and 2010, the mapping population was evaluated in the greenhouse for prr resistance against P. sojae races 1, 4, and 7, using modified rice (Oryza sativa L.) grain inoculation method. The population was genotyped with seven simple sequence repeat (SSr) and three single nucleotide polymorphism (SNp) markers derived from bulk segregant analysis. The heritability of resistance in the population ranged from 83 to 94%. A major locus, contributing 50 to 76% of the phenotypic variation, was mapped within a 3 cM interval in the Rps1 region. The interval was further saturated with more BArCSoY SSrs and SNps with TaqMan assays. Two SSrs and three SNps within the Rps1k gene were highly associated with prr resistance in the mapping population. The major resistance gene in E00003 is either allelic or tightly linked to Rps1k.The molecular markers located in the Rps1k gene can be used to improve MAS for prr resistance. Z. Zhang, J. Hao, J. Yuan, C. Gu, and D. Wang, Dep. of Plant, Soil and Microbial Sciences, Michigan State Univ., East Lansing, MI 48824; Q.J. Song, D.L. Hyten, and P.B. Cregan, USDA –ARS Soybean Genomics and Improvement Laboratory, Beltsville, MD 20705; G. Zhang, Agricultural Research Center–Hays, Kansas State Univ., Hays, KS 67601; M. Li, Division of Biostatistics, Dep. of Pediatrics, Univ. of Arkansas for Medical Sciences, Little Rock, AR 72202. Received 12 Nov. 2013. *Corresponding author (wangdech@msu.edu). Abbreviations: BSA, bulked segregant analysis; CIM, composite interval mapping; GI, germination index; LOD, logarithm of odds; MAS, marker-assisted selection; PCR, polymerase chain reaction; PRR, Phytophthora root rot; QTL, quantitative trait loci; RIL, recombinant inbred line; SI, survival index; ∆SI, adjusted survival index; SNP, single nucleotide polymorphism; SSR, simple sequence repeat. Published in Crop Sci. 54:492–499 (2014). doi: 10.2135/cropsci2012.11. 0631 © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher.
Inverse regression for ridge recovery: A data-driven approach for parameter space dimension reduction in computational science

Parameter space dimension reduction can enable otherwise infeasible design and uncertainty studies with modern computational science models that contain several input parameters. In statistical regression, techniques for sufficient dimension reduction (SDR) use data to reduce the predictor dimension of a regression problem. A computational scientist hoping to use SDR for parameter space dimension reduction encounters a problem: a computer prediction is best represented by a deterministic function of the inputs, so data comprised of computer simulation queries fail to satisfy the SDR assumptions. To address this problem, we interpret SDR methods sliced inverse regression (SIR) and sliced average variance estimation (SAVE) as estimating the directions of a ridge function, which is a composition of a low-dimensional linear transformation with a nonlinear function. Within this interpretation, SIR and SAVE estimate matrices of integrals whose column spaces are contained in the ridge directions' span; we analyze and numerically verify convergence of these column spaces as the number of samples increases. Moreover, we show example functions that are not ridge functions but whose inverse conditional moment matrices are low-rank. Consequently, the computational scientist should beware when using SIR and SAVE for parameter space dimension reduction, since SIR and SAVE may mistakenly suggest that truly important directions are unimportant.