Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Veri�cation of an IoT-Enabled Air Quality Monitoring System Based on Petri Nets

An IoT (Internet of Things) system for monitoring campus environmental parameters was successfully developed in this study. Various sensors were adopted in the front of IoT system for sensing air pollutants. The architecture of LongRange (LoRa) in Class C uses low-power and long-distance transmission technologies, which has been set up on the large campus, so that the terminal equipment can reach a balance between downlink latency and battery life, making it the best transmission communication protocol. In addition, this monitoring system uses the Petri net software tool to build a correct IoT platform based on the fundamental working processes, and to demonstrate the feasibility of the IoT system through simulation-based verification. Finally, the experimental results have shown that the IoT system for monitoring the campus environmental parameters achieves the goal of an acceptable data transmission success rate of more than 95%. Thus, it can facilitate the air quality trends for policy making as well as the hazardous prediction and prevention.
Properties of Lower Numerals and their Explanation: A Reply to Pawel/ Rutkowski

In a recent article (Rutkowski 2003) Paweł Rutkowski argues that the numerals 1-4 are treated specially in their syntax in across languages. Rutkowski wishes to explain this contrast as due to the working memory’s limited capacity, which cognitivists argue is indeed four items. We challenge this claim by presentation typological data to show a decreasing tendency of lower numerals to be more idiosyncratic and that 4 is a soft and arbitrary cut-off point outside Indo-European languages. We therefore argue that frequency, with special attention to cognitive reference points, is a better explanation.
A Review Paper on Detection of Leaf Diseases using Digital Image Processing

Image processing plays important role to analysis images in agriculture Field. Crops can be automatically analysed which gives best results and it will save cost and time . This analysis may helpful for the farmers to get expert knowledge and advice which is not readily available.Mechanical advances inside the improvement of accuracy agribusiness apparatus and programming framework would then be able to end up being less expensive and quicker than on-ground human mediation and data gathering. Many algorithms are available for the detection of plant leaf diseases. The objective of this paper is to give a brief review about the diseases which occurred in pants. Various image processing techniques like Pre-processing, Segmentation, Feature Extraction, Classification can be used to analyse plant disease.
re-On the perception of natural scenes: an introduction to the special issue

1 In this special issue we consider a range of current approaches to understanding aspects of how we visually inspect and encode scenes. This issue follows up a symposium on natural scene perception that was held at the 14 European Conference on Eye Movements in Potsdam in 2007. In this period of extensive and diverse study of scene perception it is important to consider how the variety of approaches and topics studied relate to one another and to the overall aim of this area of visual Psychology. Ultimately our aim must be to understand how vision serves our operation during natural behaviour in real environments. Yet, due to obvious technological and methodological limitations, much of the scene perception work to date has used simplified stimuli and experimental paradigms that fall short of truly natural settings. To achieve the necessary experimental rigour it has been necessary to tackle issues of scene perception under conditions that allow greater experimental control. The balance between naturalness and control in recent years has often come from using photographic images of natural scenes or computer rendered scenes. It is these twodimensional representations of real scenes that are those studied in most of the papers that comprise this special issue. Dynamic movie sequences offer a step between static 2D scenes and real 3D environments and are beginning to be used by a number of research groups working in this area. The penultimate paper of this special issue shows one aspect of how dynamic scenes can be employed to further our knowledge of the perceptual processes operating when we view scenes.
Testing of the Decisional Conflict Scale: Genetic Testing Hereditary Breast, Ovarian Cancer

Background— Hereditary Breast and Ovarian Cancer (HBOC) syndrome is attributed mostly to mutations in the Breast Cancer 1 and Breast Cancer 2 genes (BRCA1/2). HBOC is associated with significantly higher risk for developing breast cancer compared to the general population (55-85% vs. 12%) and ovarian cancer (20-60% vs. 1.5%). The availability of genetic testing enables mutation carriers to make informed decisions about managing their cancer risk (e.g., risk-reducing surgery). However, uptake of testing for HBOC among high-risk individuals is low, indicating the need to better understand how women decide to pursue genetic testing. Objective— To evaluate the reliability and validity of the modified Decisional Conflict Scale for use in decisions associated with genetic testing for HBOC. Method— In this cross-sectional, cohort study, women were recruited who pursued genetic testing for HBOC, and also recruited was one of their female relatives who did not pursue testing from two Genetic Risk Assessment clinics affiliated with a large Comprehensive Cancer Center in the Midwest. The final sample consisted of 342 women who completed all 16 items of the Decisional Conflict Scale. The psychometric properties of the scale were assessed using tests of reliability and validity including face, content, construct, contrast, convergent, and divergent validity. Results— Factor analysis using principal axis factoring with oblimin rotation elicited a three-factor structure (a) Lack of Knowledge about the Decision ( a = .97), (b) Lack of Autonomy in Decision Making ( a = .94), and (c) Lack of Confidence in Decision Making ( a = .87). These factors explained 82% of the variance in decisional conflict about genetic testing. Cronbach’s alpha coefficient was . 96. Discussion— The instrument is an important tool for researchers and healthcare providers working with women at risk for HBOC who are deciding whether or not genetic testing is the right choice for them.
Views and Ways on Improving Knowledge Sharing of the Malaysian Public Sector

– Knowledge is Power - one of the most important sayings that demonstrate an individual’s growth and development to the highest level. Therefore, the goal of presenting this paper is to be able to impart an in-depth understanding pertaining to various notions about knowledge sharing (KS) presented in different institutions and also to raise some recommendations on how to improve knowledge sharing in Malaysia. Moreover, the content of this paper is geared on exploring insights in the Malaysian perspective of KS specifically in the public sector along with illustrating certain ways of effectively enhancing KS in a particular organization. The information that is presented in this paper were collected from various related literatures gathered from books, academic journals and articles. Findings from several literatures revealed that most public sector employees are reluctant to shared their knowledge as well as best practices, and this is regarded as the ultimate factors that leads to poor quality and inefficient in the service delivery. Through the useful highlights in this paper, it would provide beneficial information on contributing factor to enhance successful KS, not only the Malaysian public sector but also to other countries with similar public sector settings and culture. Copyright © 2015 Penerbit Akademia Baru - All rights reserved.
PI-PLC b 1b affects Akt activation, cyclin E expression, and caspase cleavage, promoting cell survival in pro-B-lymphoblastic cells exposed to oxidative stress

The phosphoinositide-dependent signal transduction pathway has been implicated in the control of a variety of biologic processes, such as the regulation of cellular metabolism and homeostasis, cell proliferation and differentiation, and apoptosis. One of the key players in the regulation of inositol lipid signaling is the phospholipase C b 1 (PI-PLC b 1), that hydrolyzes phosphatidylinositol 4,5-bisphosphate [PtIns(4,5)P2], giving rise to the secondmessengersinositoltriphosphateanddiacylglicerol.PI-PLC b 1 has been associated with the regulation of several cellular functions, some of which have not yet been fully understood. In particular, it has been reported that PI-PLC b 1 protects murine ﬁ broblasts from oxidative stress-induced cell death. The mediators of oxidative stress, reactive oxygen species (ROS), have been shown to regulate major epigenetic processes, causing the silencing of tumor suppressors and enhancing the proliferation of leukemic cells under oxidative stress. In-vestigation of the interplay between ROS, PI-PLC b 1, and their signaling mediators in leukemia might therefore reveal innovative targets of pharmacological therapy in the treatment for leukemia. In this work, we demonstrate that in pro-B-lymphoblastic cells (Ba/F3), treated with H 2 O 2 , PI-PLC b 1b conferred resistance to cell death, promoting cell cycle progression and cell proliferation and in ﬂ uencing the expression of cyclin A and E. In-terestingly, we found that, expression of PI-PLC b 1b affects the activity of caspase-3, caspase-7, and of several protein kinases induced by oxidative stress. In particular, PI-PLC b 1b expression completely abolished the phosphorylation of Erk1/2 MAP kinases, down-regulated phosphatase and tensin homolog (PTEN), and up-regulated the phosphorylation of Akt, thereby sustaining cellular proliferation. — Piazzi, M. , Blalock, W. L. , Bavelloni, A. , Faenza, I. , Raf ﬁ ni, M. , Tagliavini, F. , Manzoli, L. Cocco, L. PI-PLC b 1b affects Akt activation, cyclin E expression, and caspase cleavage, promoting cell survivalin pro-B-lymphoblastic cells exposed to oxidative stress. FASEB J. 29, 1383 Densitometry ative
ESTIMATION AND TESTING FOR SPATIALLY INDEXED CURVES WITH APPLICATION TO IONOSPHERIC AND MAGNETIC FIELD TRENDS 1

We develop methodology for the estimation of the functional mean and the functional principal components when the functions form a spatial process. The data consist of curves X( s k ; t),t ∈ [ 0 ,T ] , observed at spatial locations s 1 , s 2 ,. , s N . We propose several methods, and evaluate them by means of a simulation study. Next, we develop a signiﬁcance test for the correlation of two such functional spatial ﬁelds. After validating the ﬁnite sample performance of this test by means of a simulation study, we apply it to determine if there is correlation between long-term trends in the so-called critical ionospheric frequency and decadal changes in the direction of the internal magnetic ﬁeld of the Earth. The test provides conclusive evidence for correlation, thus solving a long-standing space physics conjecture. This conclusion is not apparent if the spatial dependence of the curves is neglected.
Recherche du boson de Higgs dans le canal diphoton au LHC avec le détecteur ATLAS

Cette these a comme but la preparation a la recherche du boson de Higgs dans le canal diphoton au LHC, avec le detecteur ATLAS. Les problematiques qui sont etudiees s'articulent autour de la reconstruction du vertex H en gamma gamma, avec l'aide du calorimetre electromagnetique et du detecteur interne, et de la resolution en masse invariante diphoton. Des simulations differentes du detecteur ATLAS et les effets de la quantite de matiere et des desalignements ont ete etudies. Des problematiques de calcul de la signification statistique ont egalement ete discutees et le potentiel de decouverte pour une basse luminosite�� integree a ete evalue. Une partie de la these se place dans le cadre des donnees CSC qui utilisent la plus recente simulation du detecteur ainsi que des methodes de reconstruction mises au point et qui servent a effectuer une mise a jour de l'analyse effectuee par ATLAS. Toutes les etapes du traitement du signal et du bruit de fond ont ete discutees. Finalement on s'attend \`a voir un signal de 3 $$ \sigma$$ avec une luminosite integree de 10 $$ fb^{-1}$$.
An improved method for developing green practices in a green supply chain using robust ranking with neutrosophic set

To attain competitive advantages and promote environmental performance, a proactive approach called Green Supply Chain Management (GSCM), has been extensively employed. In this paper, we use the robust ranking technique with neutrosophic set to handle practices and performances in GSCM. We evaluate GSCM practices using the robust ranking technique in order to detect practices leading to better economic and environmental performances. We employ the neutrosophic set theory to handle vague data, imprecise knowledge, incomplete information and linguistic imprecision. The efficiency of the proposed method is evaluated by using the first case study from petroleum industry in Egypt and the second case study from manufacturing firm in China. The results display that "reverse logistics”, "supplier environmental collaboration", "carbon management" are the significant in GSCM practices. Both case studies verified that our proposal could be adopted for effectiveness and improvement. Our work could help managers and decision makers to become more environmentally responsible.
International Journal of Science and Business

Online shopping has become a major trend in the 21st Century. In order for a business to achieve success in this line of sales, it is highly important to know the customer’s requirements and provide the suitable offers in the appropriate time. The innovation of online shopping is encouraged by consumers as well as retailers. In view of that, understanding the behaviors of consumers in relation to decision making becomes a critical issue for retailers. There are various aspects that are unique with regards to online purchases and decision-making. They include price sensitivity and brand choice. In addition to that, it is worth noting that a number of motivation aspects, including situational elements, product features, and the experience of former e-shopping can affect the attitudes of customers to buy online. Notably, in the past decade, a drastic change in consumer purchasing behavior can be observed as shopping patterns have been altered. Despite the fact that individuals continue to buy from a physical store, others perceive online shopping as a very convenient method. This is because purchasing through the internet frees significant time that a customer can use to personally visit a shop. Moreover, online shopping has certain benefits including saving time and effort in making decisions and purchasing items. People can make search a variety of options at the comfort of their homes and compare prices easily in a bid to arrive at a preferred decision. This study is an empirical paper that reviews various available online literature to analyze the decision to purchase online or not. IJSB
Initial segments and end-extensions of models of arithmetic

This thesis is organized into two independent parts. In the first part, we extend the recent work on generic cuts by Kaye and the author. The focus here is the properties of the pairs (M, I) where I is a generic cut of a model M. Amongst other results, we characterize the theory of such pairs, and prove that they are existentially closed in a natural category. In the second part, we construct end-extensions of models of arithmetic that are at least as strong as ATR\(_0\). Two new constructions are presented. The first one uses a variant of Fodor’s Lemma in ATR\(_0\) to build an internally rather classless model. The second one uses some weak versions of the Galvin–Prikry Theorem in adjoining an ideal set to a model of second-order arithmetic.
Next Generation Intelligent Environments: Ambient Adaptive Systems

This book covers key topics in the field of intelligent ambient adaptive systems. It focuses on the results worked out within the framework of the ATRACO (Adaptive and TRusted Ambient eCOlogies) project. The theoretical background, the developed prototypes, and the evaluated results form a fertile ground useful for the broad intelligent environments scientific community as well as for industrial interest groups. The new edition provides: Chapter authorscomment on their work on ATRACO with final remarks as viewed in retrospective Each chapterhas been updated with follow-up work emerging from ATRACO An extensive introduction to state-of-the-art statistical dialog management for intelligent environments Approachesare introduced on how Trust is reflected during the dialog with the system
Masters Thesis: Skirt Decomposition Method for the Identification of Linear Time-Varying Human Joint Admittance

Human joint admittance changes with numerous factors constituting the operational point. For large changes of the operational point, joint admittance can be identified using Linear Time-Varying methods on torque and angular position signals measured on human joints. Out of the available methods, the Skirt Decomposition method was selected due to its nonparametric structure and the limited number of a priori assumptions it makes. Its employment on the identification of human joint admittance was completely novel. The method was applied to a simulation model representing joint admittance and on experimental data measured from the wrist joint. In the experiment, the subjects were changing the applied torque to follow a desired trajectory, while the angle of the wrist was perturbed by the manipulator. With a properly designed multisine input, taking into consideration the speed and complexity of the time variation, a variance accounted for (VAF) close to 100 % was obtained in the simulation study on all the tested conditions. From the experiment, it was seen that the contribution of the time variation in the frequency domain was partially masked by the output noise. The noise level could be decreased by lowering the amplitude of the desired torque, and by removing the voluntary torque from the analyzed data. With a desired torque level ranging between 5% and 20%, and considering the bandwidth between 2 Hz and 20 Hz, the mean power of the output residuals in the frequency domain ranged between 16.2 and 27.1 for all the tested conditions. Furthermore, the time-varying dynamics retrieved from the system function showed a clear correlation with the desired torque trajectory.
Impact of Social Media Changes Marketing

Social media has been involved in almost every aspect of our lives. This is because of its accessibility, speed of communication, and the network effect of the tool itself. For example, Twitter, Youtube, Facebook, and Instragram have been widely adopted and become household words, penetrating and connecting the society. In this regard, social media is considered a powerful marking tool which answers to what the entrepreneur, manufacturer, and marketer need. This study aimed at investigating the impact of social media toward consumer’s media behavior, entrepreneurship and commercialization, marketing strategy, and marketing research methodology. The implication of this study is offered insights into media consumption behavior, so the all the stakeholders are able to enjoy the benefit of applying social media to both marketing and public.
Can Artificial Intelligence Make Art? to whether AI-driven Robots Can Be Viewed as Artists and Produce Art

Folk Intuitions In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art , and robots as artists . Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots. (equivalent to a Cohen’s d =.33). People were also more willing to consider the human an artist than the robot ( F (1,253)=99.789, p <. 001, η p2 =. 283), and here the effect size was very large (equivalent to d =1.18). Aggregating across the two agent type conditions, participants were more inclined to judge the painting that resulted from purposive action to be art ( F (1,253)=6.582, p =. 011, η p2 =. 026), and they were more willing to judge the purposively acting agent an artist ( F (1,253)=18.895, p <. 001, η p2 =. 070). No significant interaction terms were observed for the core DVs art or artistic agency (both ps >.12). (i) behaviour (intentional v. (ii) agent (AI-driven robot v. (iii) object (abstract v. representational painting). The first the folk conceived (i.e., limited to robot-art). tied of a work of art. the constitutes art is also results for Experiment 2 show at least moderate agreement as
Implementation and evaluation of the impact of a "ventilator-bundle” at Kinshasa University Clinics: Before and after study.

Compliance with all the measures put in place was improved between the two phases from 0 to 32.75%. The incidence density decreased from 33.74 to 18.05 VAP for 1000 day ventilator, but the mortality was similar in both groups (88.6% vs. 86.0%). Conclusion: The implementation of a "ventilator bundle" has significantly reduced the impact of VAP in our service. However, our study failed to show a decline in mortality. Abstract
Measuring House Prices and Comparing Income Levels across Countries: Some Issues in Economic Measurement

This chapter compares hedonic and repeat-sales methods by applying their models on house data for Sydney from 2001 to 2009. The main results are: first, repeat-sales price indexes and hedonic price indexes present different turning points for some periods; second, repeat-sales price indexes depict faster appreciating rates than their hedonic counterparts during the period of consideration. Furthermore, empirical findings suggest that the feature of repeat-sales indexes in terms of price appreciating rates is associated with the lemon sample bias of repeat-sales methods: Repeat-sales sample includes merely data of houses with multiple sales. Empirical evidence shows that houses with multiple sales are of lower prices; and the price indexes for more frequently traded houses increase also faster. Given the widely use of repeat-sales house price indexes, this chapter reminds the users of these indexes of the possible bias in them and demonstrates the source as well as the characteristics of the bias.