Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Gravity Measurements to Understand the Structure and Evolution of the Ulleung Basin ( East Sea / Sea of Japan ) and Numerical Modeling on the Genesis of Adakites in Subduction Zones

1 List of Figures . 3 List of Table . 9 Chapter 1 Effect of time-evolving age and convergence rate of the subducting plate on the Cenozoic adakites and boninites Abstract . 10. 10 1.
ECONOMETRIC MODEL FOR PLANNING THE INDUSTRIAL PRODUCTION

In industrial practice, there are frequent cases when a performer randomly serves the machines at time intervals, which prevents the elements of carrying out the processing procedure from being predetermined. Situations of random interventions on the multi- served machines occur more often in textile industry on the spinning machines, looms, knitting machines, wire weaving and interlacing machines, etc.
Transient expression of green fluorescent protein in parasitic dodder as a tool for studying of cytoskeleton

Abstract Dodder (Cuscuta) species cause severe agricultural damage in many countries throughout the world. To establish strategies for control of its growth and spreading it is important to study its life cycle and survival strategies. For these efforts genetic modification would represent a powerful tool. Here we report on Agrobacteriummediated transformation of dodder using green fluorescent protein (GFP) fused to actin-binding protein as a vital marker. Since the shoot of germinating C. europaea contains a functional apical meristem and grows quickly comparing to the root-like structure, the shoot apex was used here as explant. The transgene expression was only transient, nevertheless it enabled to detect allocation of actin filaments and studying the cytoskeleton organization in dodder shoot apex. Transient expression of GFP appears to be a suitable method for studying Cuscuta development through cytoskeleton organisation that is presently largely unexplored.
Authenticity and susceptibility to emotionally-irrelevant facial cues

CUES by EDWARD V. CASCIO (Under the Direction of Michael H. Kernis) ABSTRACT We examined the relationship between individual differences in authenticity and the lability of pleasant and unpleasant affect under conditions of experimentally-induced facial simulation. Participants completed a scale measuring their dispositional authenticity (AI-3, Goldman & Kernis, 2004), as well as a set of tasks comprising a facial simulation procedure. Our procedure resembled the one employed by Strack, Martin, and Stepper (1988) to unobtrusively test the facial feedback hypothesis, which asserts that momentary affect is influenced by specific patterns of activation and deactivation of facial musculature. In this procedure participants hold a pen in their mouths in such a way that muscles related to anger or happiness are stimulated. We measured pleasant and unpleasant affect with the Affect Balance Scale (ABS, Bradburn, 1969). Our findings indicated a moderating effect of authenticity on the influence that manipulated facial cues had on unpleasant, but not pleasant, affect. Predicted values depicting this interaction did not yield a readily interpretable pattern. Discussion focuses on interpretations of the moderating effects of authenticity as well as future research directions.
Using affect to evaluate user engagement Conference or Workshop Item

User Experience (UX) emerged beyond the traditional views of usability to account for users’ emotional response to the aesthetics of an interactive product. This paper outlines the first of a series of studies on User Engagement (UE), a subset of UX, which focuses upon the quality of the within session interactive experience. The aim of this study is to explore affect through the responses to interactive features and how this impacts upon user judgment. Initial findings indicate that websites with more interactive features generate enhanced positive affect within session, which may predominate over a longer term, thus impacting on the overall user experience.
Title Changes in eutopic endometrial gene expression during the progression of experimental endometriosis in the baboon , Papio anubis Permalink

Endometriosis is associated with aberrant gene expression in the eutopic endometrium of women with disease. To determine if the development of endometriotic lesions directly impacts eutopic endometrial gene expression, we sequentially analyzed the eutopic endometrium across the time course of disease progression in a baboon model of induced disease. Endometriosis was induced in baboons (n 1⁄4 4) by intraperitoneal inoculation of autologous menstrual endometrium. Eutopic endometria were collected during the midsecretory phase (Days 9–11 postovulation) at 1, 3, 6–7, 10–12, and 15–16 mo after disease induction and compared with tissue from disease-free baboons. RNA was hybridized to Human Genome U133 Plus 2.0 Arrays, and data were extracted using Gene-Chip Operating Software. Subsequently, both Gene Set Enrichment Analysis and Ingenuity Pathways Analysis were used to find biological states that have a statistically significant enrichment concomitant with pairwise comparison of human endometriosis arrays. Within 1 mo of induction of the disease, 4331 genes were differentially expressed (P , 0.05). Hierarchical clustering revealed selfsegregation into two groups—a) 1, 3, and 10–12 mo and b) 6–7 and 15–16 mo—together with controls. Clustering analysis at each stage of disease validated dysregulation of several signaling pathways, including Nodal-like receptor, EGF, ERK/MAPK, and PI3/AKT. Sequential analysis of the same animals during disease progression demonstrated an early disease insult and a transitory dominance of an estrogenic phenotype; however, as the disease progressed, a progesterone-resistant phenotype became evident. Furthermore, we demonstrate a 38.6% differential gene expression overlap with endometrial samples in the midsecretory phase from women with endometriosis, concomitant with similar dysregulation in human disease candidate genes Fos, Nodal, Suclg2, and Kras, among others. Molecular changes in the eutopic endometrium, associated with endometriosis, are directly impacted by endometriotic lesions, providing strong evidence that it is the disease rather than inherent defective endometrium that results in aberrant gene expression in the eutopic endometrium. Furthermore, this baboon model provides a powerful means whereby the early events associated with the pathology of disease and the resulting infertility may be elucidated. baboon, endometriosis, endometrium, primate, transcriptome
Investigating the Role of Internet of Things in Knowledge Management Systems (Case Study: Offering A Resource Description Model Based on Ontological Study of Smart Store Management (Smart Shopping Cart)

Rapid changes in the knowledge management (KM) area are substantially dependent on the considerable progresses made by the mankind in the information technology (IT) during these years. In fact, Internet of Things (IoT), as part of the applied technologies in the IT world, has rendered feasible the fast growth and sharing of knowledge. IoT records the data pertinent to the natural phenomena and classifies and calculates them for the purpose of facilitating a better and easier perception thereby to enable the human beings better perceive the phenomena. The quality of achieving an integrated source in regard of resource description is an important challenge in IoT for a large number of heterogeneous devices.According to the absence of an integrated description model for IoT devices, the present article tries proposing an ontology-based resource description model (ORDM). These resources in IoT include the description of such classes as specifications, statuses, controls, situations, performances, histories and privacies inherent of the things. The ontology-based description model (ORDM) can be completely implemented for the performance optimization of a smart store through its offering of a smart shopping cart. The experiment results indicated that the proposed model is of a considerable applied value and prospect in the optimization of devices’ access and business performance in IoT.
A New Test for Rational Speculative Bubbles using Forward Exchange Rates: The Case of the Interwar German Hyperinflation

The probabilistic structure of periodically collapsing bubbles implies different values for the slope coefficient of alternative efficient market hypothesis tests depending on whether the bubble is in an explosive regime or not. We exploit this fact and propose a new method for bubble detection. The method does not require the specification of the process followed by fundamentals, it is not affected by a possible explosive root of the determinants of the asset price, and provides a date-stamping strategy. We analyze the Reichsmark/Dollar exchange rate for the interwar German hyperinflation period and identify periods of rational exuberance.
Perceived Value and Transportation Preferences: A Study of the Ride-Hailing Transportation Sector in Jakarta

The article examines the effectiveness of promotion on repurchase intention by perceived value and transportation mode preferences. The method of analysis of this research is structural equation modeling (SEM) based on cluster sampling in Jakarta. The findings of this research are: price promotion and other 7Ps marketing mix elements have significant direct effect on perceived value. The strong factors among those are price-promotion and process factors. Perceived value has a significant direct effect on transportation mode preferences and subsequently on repurchase intention. However, price promotion and other 7Ps in the marketing mix elements do not have a significant direct effect on transportation mode preferences on the use of Indonesian public motorcycles called Ojek and the booking process via ride-hailing apps.
UvA-DARE ( Digital Academic Repository ) Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data

Many real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, and the semantics of existing classes might evolve too. Therefore, we study large-scale image classification methods that can incorporate new classes and training images continuously over time at negligible cost. To this end we consider two distancebased classifiers, the k-nearest neighbor (k-NN) and nearest class mean (NCM) classifiers. Since the performance of distance-based classifiers heavily depends on the used distance function, we cast the problem into one of learning a low-rank metric, which is shared across all classes. For the NCM classifier we introduce a new metric learning approach, and we also introduce an extension to allow for richer class representations. Experiments on the ImageNet 2010 challenge dataset, which contains over one million training images of thousand classes, show that, surprisingly, the NCM classifier compares favorably to the more flexible k-NN classifier. Moreover, the NCM performance is comparable to that of linear SVMs which obtain current state-of-theart performance. Experimentally we study the generalization performance to classes that were not used to learn the metrics. Using a metric learned on 1,000 classes, we show results for the ImageNet-10K dataset which contains 10,000 classes, and obtain performance that is competitive with the current state-of-the-art, while being orders of magnitude faster.
A Model of Marketing Channel Choice in Internet Age

Electronic commerce (“e-commerce”) has prevailed in our economy at a rapid speed since second half of 1990’s, and has changed not only the retail market but also the marketing channel structure. In this paper, we construct a model of a manufacturer’s marketing channel choice in an Internet economy. Specifically, using a variant of Hotelling (1929) type linear city model, we examine under what condition the manufacturer deals with electronic retailers as well as with conventional retailers in equilibrium. Then, we investigate welfare properties of its choice. Our main findings are as follows: When the manufacturer trades with electronic retailers, the equilibrium retail prices always fall and consumer surplus increases necessarily. However, we also show that total surplus does not always increase with the start of Internet marketing channel. This is because the manufacturer’s marketing channel choice is not socially optimal and efficiency loss of production and distribution accrues.
Study of Artificial Neural Network Accuracy Compared to Statistical Model of Logistic Regression for Prediction of Iranian Firms Bankruptcy

The use of financial ratios for predicting companies' bankruptcy has always been considered by universities and economical institutions especially banks and other financial organizations. In such studies, statistical models like multiple distinctive analyses, logit Analysis, probit Analysis have usually been used. In this study, the prediction of accepted productive companies' bankruptcy in Tehran negotiable papers exchange has been paid by the use of artificial neural network model and we have also made a comprehensive review on the models of bankruptcy prediction. In this study, artificial neural network model with logistic regression statistical model that is a useful statistical model in bankruptcy prediction has been compared. Our findings from these models on the basis of 80 companies' data showed that artificial neural network model has more accuracy than logistic regression statistical model in bankruptcy prediction.
Hydrocarbon degradation and biogas production efficiency of bacteria isolated from petrol polluted soil.

The present study framed to evaluate hydrocarbon degradation efficiency of bacteria isolated from petrol contaminated soil and its relevance in biogas production. Hydrocarbon degrading bacteria was isolated and selected by using Bushnell-Hass agar medium and identified as Pseudomonas stutzeri through biochemical analysis and 16S rRNA sequencing, and consequently obtained the accession number from the Genbank. The influence of various parameters like pH, temperature, incubation period and hydrocarbon concentration for the optimum degradation of petrol, diesel and crude oil with Pseudomonas stutzeri was examined during the study. The optimum pH and temperature for degradation of 1% hydrocarbons was found in the range of 8.0-8.5 and 30-55 0 C respectively, whereas utmost degradation of 63.5% at pH 8.0 and 65.1% at temperature 30 0 C was obtained on diesel. The present study was able to prove an incubation period of 7 days was fine for the degradation of all the three hydrocarbon used, of which greatest degradation of 74.4% was observed on crude oil. Since the growth of Pseudomonas stutzeri of different hydrocarbon concentration showed high growth occurs at 6% petrol, 4% diesel and 3% crude oil. Biogas production from cow dung with the incorporation of Pseudomonas stutzeri was able to increase the peak of methane production by 82.02% at 30 th day from the peak of methane production of 57.29% at 45 th day in control. Overall, around 24% increased methane production was observed in the treated tank in contrast to the
AIMC 2017 Asia International Multidisciplinary Conference RAINWATER HARVESTING IN MALAYSIA : A SURVEY ON FOSTERING-SIDE AND ACCEPTING-SIDE

Malaysia is not entirely spared from regular water shortages although it is located in a water rich region. The authors’ previous study clarified that rainwater harvesting (RWH) might be one of the possible priority measure for promotion of water conservation. In line with such recognition, it is necessary to understand the relevant stakeholder’s perceptions and attitudes towards the RWH practice. Thus, a set of structured interviews and questionnaire surveys were conducted among the stakeholders. Selangor, the most developed state in Malaysia was chosen as a case study. Herein, the stakeholders consist of (i) the fostering-side, namely the policy-makers, equipment-makers and NGOs/community leaders, and (ii) the accepting-side, namely the users and expected users of RWH. It is verified that the fostering-sides are generally in the medium level of participation. They are willing to support RWH on condition that accepting-sides become more positive to cooperate for RWH adoption. The accepting-sides are commonly in the low level of awareness. They seem to show more positive response when presented with proposal of low-cost RWH. To overcome the deadlock relationship between the two parties, several approaches that can be beneficial to both parties are proposed such as income tax and import duty exemption for rainwater harvesting system installations and reward-based RWH applications. © 2018 Published by Future Academy www.FutureAcademy. org.UK
Youth Top Problems: using idiographic, consumer-guided assessment to identify treatment needs and to track change during psychotherapy.

OBJECTIVE To complement standardized measurement of symptoms, we developed and tested an efficient strategy for identifying (before treatment) and repeatedly assessing (during treatment) the problems identified as most important by caregivers and youths in psychotherapy. METHOD A total of 178 outpatient-referred youths, 7-13 years of age, and their caregivers separately identified the 3 problems of greatest concern to them at pretreatment and then rated the severity of those problems weekly during treatment. The Top Problems measure thus formed was evaluated for (a) whether it added to the information obtained through empirically derived standardized measures (e.g., the Child Behavior Checklist [CBCL; Achenbach & Rescorla, 2001] and the Youth Self-Report [YSR; Achenbach & Rescorla, 2001]) and (b) whether it met conventional psychometric standards. RESULTS The problems identified were significant and clinically relevant; most matched CBCL/YSR items while adding specificity. The top problems also complemented the information yield of the CBCL/YSR; for example, for 41% of caregivers and 79% of youths, the identified top problems did not correspond to any items of any narrowband scales in the clinical range. Evidence on test-retest reliability, convergent and discriminant validity, sensitivity to change, slope reliability, and the association of Top Problems slopes with standardized measure slopes supported the psychometric strength of the measure. CONCLUSIONS The Top Problems measure appears to be a psychometrically sound, client-guided approach that complements empirically derived standardized assessment; the approach can help focus attention and treatment planning on the problems that youths and caregivers consider most important and can generate evidence on trajectories of change in those problems during treatment.
Effects of environmental factors on the population genetic diversity of Chinese bamboo partridge (Bambusicola thoracica)

Knowledge of factors that affect population demographic and genetic diversity is of importance to understand the evolutionary ecology. The environment plays an important role in the evolutionary process. This study used mtDNA control region sequences and nuclear microsatellites to infer the relationship between population genetic diversity and environmental factors of Chinese bamboo partridge (Bambusicola thoracica). A total of 1140 nucleotides of mitochondrial DNA control region were sequenced from 180 bamboo partridge sampled from thirteen populations in southeast China. Thirteen-nine polymorphic positions defined 50 haplotypes. The ten microsatellite loci were polymorphic in all populations of Chinese bamboo partridge. Bamboo partridge population genetic diversity (π-, h-, K-, HE- and HO- values) decreased with decreasing variation coefficients of temperature and rainfall. The more stable the climate, the higher the genetic diversity observed. Key words: Bambusicola thoracica, mitochondrial DNA, microsatellite, genetic diversity, environmental factors.
A FRAMEWORK FOR DIALOGUE-BASED WEB SERVICES and

In this paper we describe a framework for dialogue-based applications that require using Web technologies, such as REST services. Not all services are executed in one-shot (e.g. pipe process). However, many applications can only be p f m g g w kfl w. W p p p c f ch c c , ffer a framework that assists in their life-cycle: programming, deployment, search, invocation, and feedback management. A running example is used to illustrate our proposal and assess how it improves the experience of service developers.
Some identification schemes for non-linear noisy processes

A general mathematical description for non-linear systems in the time domain is elaborated in this paper. Four algorithms for estimating the parameters of time-discrete processes corrupted by additive noise are studied and instrumented on a digital computer. All identification schemes may be employed in on-line applications. The properties of each algorithm are given; numerical results and amount of complexity are compared.
Works Title Distress Tolerance as a Correlate of Tobacco Dependence and Motivation : Incremental Relations over and above Anxiety and Depressive Symptoms Permalink

Distress tolerance—the capacity to withstand distressing states—is implicated in the etiology of regular smoking. The present study extends past resarch by examining whether relations between perceived distress tolerance and smoking-related factors: (1) differ across subdimensions of distress tolerance (Tolerance, Appraisal, Regulation, Absorption); (2) extend across measures of dependence, negative reinforcement smoking, and craving; and (3) are incremental to depressive and anxiety symptoms. Results showed that global distress tolerance was associated with measures of dependence, negative reinforcement, and craving even after controlling for affective symptomatology. Subdimensions of distress tolerance were not uniquely related to smoking outcomes in unadjusted or adjusted models. These findings suggest that: (a) distress tolerance is uniquely implicated in smoking over and above affective symptomatology; and (b) specific subdimensions of distress tolerance do not provide more information about smoking-related characteristics than global dimensions; and (c) addressing distress tolerance in smoking cessation interventions may promote successful cessation.
Design of the IBM Enterprise System/9000 high-end processor

The “high-end” water-cooled processors in the IBM Enterprise System/9000™ product family use a CPU organization and cache structure which depart significantly from previous designs. The CPU organization includes multiple execution elements which execute instructions out of sequence, and uses a new virtual register management algorithm to control them. It also contains a branch history table to remember recent branches and their target addresses so that instruction fetching and decoding can be directed more accurately. These models also use a two-level cache structure which provides a level 1 cache associated with each processor and a level 2 cache associated with central storage. The level 1 cache uses a store-through organization, and is split into two separate caches, one used for instruction fetching and the other for operand references. The level 2 cache uses a store-in method to handle stores.
Controlled Battery Charger for Electric Vehicles

Due to rising fuel consumption, price of CO2 emissions and growing urban air pollution, the global interest of the automobile industry, politics and scientists in electric mobility is increasing in the recent years worldwide. Thus, future challenges will be the integration of electric vehicles in distribution networks under the scope of balancing multiple charging processes while, at the same time, increasing dispersed generation. The development of a controlled battery charger for traction batteries aims to reduce the peak load and to shift energy demand.