Miracle-dz/UniFAR-FTUs huggingface dataset:
ECO-INNOVATION AND BUSINESS MODELS AS DRIVERS FOR CIRCULAR ECONOMY

Eco-innovation is defined as any innovation aimed at getting a reduction of environmental impacts. Eco-innovation is not only a technology change but also embraces organisational, social and system innovations. This systemic and complex thinking is necessary to understand the role of eco-innovation as an enabler of Circular Economy. In particular, New Circular Economy Business Models are crucial drivers for CE. Circular Economy appears as a promising approach towards a sustainable transition from the linear socioeconomic paradigm. The objective of the Circular Economy is to maintain and to share value along the time, rather than adding value. Systemic change may be addressed from different perspectives, usually top-down and bottom-up approaches are distinguished. In any case, eco-innovation has an important role to play as an enabler of the Circular Economy. Eco-innovation for Circular Economy can be of technological and non-technological character. Indeed, it is acknowledged that Circular Economy needs to address important challenges regarding business models and socio-institutional frameworks, while technological change may not be necessarily radical. In order to pave the way to Circular Economy through eco-innovation, business models are considered a key building block. The business model is seen as a holistic approach towards the way of doing business. From the eco-innovation perspective, a business model needs to add ecological and social value to the value proposal and changing the producer and the consumer practices. In particular, eco-innovations with the potential to enable the transition to a resource-efficient circular economy model include efforts to change dominant business models (from novel product and service design to reconfigured value chains, new/short supply chains), transform the way citizens interact with products and services (ownership, leasing, sharing, repairing, reducing, remanufacturing, etc.) and develop improved systems for delivering value (green mobility, smart energy systems, sustainable cities, etc.).
Magnetisk resonans og multipel sklerose I: Konventionelle diagnostiske metoder

Conventional magnetic resonance imaging (MRI) is still the standard technique in the diagnosis and follow-up of patients with multiple sclerosis (MS), despite low pathological specificity and poor correlation to the disability. The results of T2- and T1-weighted imaging with and without contrast and the lesion characteristics are presented in this review. The numerous differential diagnoses and the diagnostic MRI criteria are also reviewed.
Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications

Every summer, wildfires affect thousands of steep watersheds in Italy, causing the partial or complete destruction of vegetation, and changes in soil hydraulic properties. Such effects alter the hydrologic response of watersheds, increasing post-fire debris and sediment-laden flow hazard. This study characterizes the most relevant predisposing and triggering factors for a sequence of four post-fire flooding events, which, in the late summer-autumn of 2017, affected Montoro village in southern Italy. This research work consists of a fire severity assessment based on multispectral satellite images, characterization of meteorological systems and related flood-triggering rainfall, and provides an overview of the damage that occurred in the repeatedly affected urban area using crowdsourced data. The research findings demonstrate that the analyzed area burned with moderate-high (64.4%) and low severity (35.6%) levels. All the flooding events were triggered by rainfall evaluated as non-extreme, but with relevant peak intensities (I10 and I30), associated with the first convective storms impacting the burned watersheds. The crowdsourced data highlight the fact that roads and buildings on footslopes were inundated by mud and debris transported by rapid flows. The study identifies a clear relationship between wildfires and flooding processes and provides useful information for hazard assessment and emergency management operations.
A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Min Jung Kim IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY

This dissertation is in two parts. In Chapter 1, I empirically quantify the consumer welfare gains created by free smartphone apps that have recently emerged as one of the most used digital goods. I use a unique dataset of smartphone apps and transform sales ranks into quantities to overcome a lack of data on quantity. In the process, I suggest a new methodology of utilizing Google search data, which can also be used in future research. The estimation results show that smartphone apps created $5.7∼10.9 billion and $13.5∼23.3 billion of annual consumer benefits in 2010 and 2011, respectively – which can be translated into $134∼260 in 2010 and $157∼271 in 2011 per smartphone user on average – and more than 90% of the welfare gain is from free apps. In Chapter 2, I examine how the contributing effects of mobile applications on smartphone adoption differ across smartphone operating systems and the extent to which this difference is explained by the role of platforms, focusing on the case of Apple vs. Google. I estimate a model of consumer demand for both smartphones and compatible apps where I specify the benefit provided by apps as the sum of individual app utilities. It is first shown that the selection of different types of consumers onto platforms should be accounted for in estimating app demand and thereby measuring the complementary effects. I take a novel approach to constructing geographically disaggregated sales panel by using Google web search data, as a way of addressing the selection issue. After controlling for the user heterogeneity, the results still suggest that Apple provided more app benefits to users and Android’s stronger sales over the sample period come entirely from advantages in the price-adjusted quality of hardware. The overall quality of apps in Google Play was not inferior to that of the App Store, but Google is estimated to have delivered lower utility for a given set of apps possibly due to its open strategy.
A 166.6 MHz Proof-of-principle SRF Cavity for HEPS-TF: Mechanical Design and Fabrication

166.6 MHz superconducting RF cavities operating at 4.2 K have been proposed by IHEP for the High Energy Photon Source Test Facility (HEPS-TF). The cavity is a quarter wave resonator with beam going through the cavity inner conductor. The cavity and its stiffness were designed and optimized to meet pressure safety requirement and to reduce frequency sensitivity due to helium pressure fluctuations. Tuning sensitivity, Lorentz force detuning and microphonics were also simulated. Most calculations have been validated by experiments. This paper reports the mechanical design and fabrication details of the first proof-of-principle cavity.
Corrosion Resistance Synergistic Performance of Alkyd Based Triplex Coating System Impregnated with Fe, Zn, Cr and Ti based Corrosion Inhibitors

An alkyd polymer based triplex coating system embedded with Iron Oxide, Zinc Chromate and Titanium Dioxide inhibitors was studied to ascertain its corrosion resistance synergistic performance at various anthropogenic and metropolitan sites of Karachi coastal city while accelerated salt spray test was also carried out for reference. Coating performance was ascertained by visual morphological inspection, gloss measurements, Scanning Electron Microscopy (SEM), Energy-Dispersive X-ray (EDX) analysis and by Fourier Transform Infrared (FTIR) Spectroscopy. EDX results substantiated a general increment in oxygen/carbon ratio and revealed that chromium was conspicuously vanished in all exposed coating systems. Diminution trend in gloss value, ex-corporation of inhibitors on the coating surface plus depletion of morphological features witnessed through SEM micrographs and curtailment of ester linkage signals in FTIR spectrum, concluded that an insignificant protection offered by the alkyd triplex coating due to its permeability upon weathering which led to ex-capsulation of inhibitors under moist conditions. Appraisal of these results have furnished an average coating performance correlation of 704 hpy (hours of salt spray test equivalence per year exposure test) at marine test site and 614 hpy at industrial test site in terms of blistering while equivalence mean in terms of rusting were found 815 hpy and 622 hpy at marine and industrial test sites respectively.
Binaural soniﬁcation of disparity maps

A methodology for the realtime spatial soniﬁcation of disparity maps obtained from stereo image pairs is presented as part of the development of a scene soniﬁcation system for the visually impaired. The proposed system is based on a very eﬃcient segmentation technique, which allows one to detect the most relevant objects in the scene, and a binaural soniﬁcation method that produces good results with low computational resources. A ﬁrst implementation of these techniques is also presented and discussed.
Correlative Study of Imprint and Crush Cytology with Histopathology in Endobronchial GrowthsCorrelative Study of Imprint and Crush Cytology with Histopathology in Endobronchial Growths

Methods: The study was conducted in the Department of Internal Medicine and Pathology at Sher-i-Kashmir Institute of Medical Sciences. Eighty-one patients with clinical and radiological evidences of lung lesions were enrolled. From all patients five pieces of tissue were obtained during fiberoptic broncoscopy which revealed an endobronchial growth. From each bit of tissue an imprint and crush smear were prepared by imprinting the tissue on a clean surface of glass slide without compressing the tissue while as crush smear was made by gently crushing the tissue between two glass slides. The tissue specimens were then placed in formaldehyde solution for histological examination. Standard statistical methods were used to analyze the data (chi-square (χ2) analysis; a Fisher’s exact test was used to evaluate the data if more than 25% of the expected values were <5). The level of significance selected was P<0.05.
PolEval 2019 — the next chapter in evaluating Natural Language Processing tools for Polish

PolEval is a SemEval-inspired evaluation campaign for natural language processing tools for Polish. Submitted tools compete against one another within certain tasks selected by organizers, using available data and are evaluated according to pre-established procedures. It is organized since 2017 and each year the winning systems become the state-of-the-art in Polish language processing in the respective tasks. In 2019 we have organized six different tasks, creating an even greater opportunity for NLP researchers to evaluate their systems in an objective manner.
Research Article Low-cost Brain-Computer Interfaces

: This article reviews and establishes the current state of research and technology for low-cost, portable and easy to use Brain Computer Interface (BCI) suitable for non-medical applications such as communication, environmental control, entertainment and gaming. The scope of this research is to analyse all possible technologies that are currently available to enable channel of communication between humans and electronic devices using only cerebral activities. In addition, the EMOTIV Epoc wireless EEG hardware has been reviewed
Respecting the privacy of hospitalized patients

Background: Privacy is a complicated and obscure concept, which has special meanings in the healthcare environment; therefore, it is essential for healthcare providers to fully understand this concept. However, there is no universally accepted definition for this concept in the texts, and it has been interpreted differently according to its application. Aim : To analyze and provide a clear and scientific definition for the respect to privacy of hospitalized patients and identify common aspects of this concept. Research design : This study was conducted using the Whittemore and Knafl’s modified framework as a conceptual analysis method. Ethical consideration : This study was approved by the Research Council of the University of Social Welfare and Rehabilitation Sciences. We have respected the ethical requirements required regarding the sources and authorship. Research context and data sources : Using integrative review a search was performed using national and international databases, including CINAHL, Scopus, Medline, Web of Science, and ISI (with no date restriction). The keywords employed during the search process were: “privacy of patients”, “confidentiality”, “and patients’ rights. In total, 1345 articles were retrieved from the databases. After the elimination of repetitive studies and with regard to the study objectives, 124 articles, 3 books, and 4 theses were entered into the study. The data were analyzed using a conventional content analysis approach. Findings : The results were extracted in form of four, seven, and two themes related to the Attributes ( Physical, Informational, Social, and Psychological) , antecedents, and consequences of patient privacy, respectively. Conclusion : Respect for hospitalized patient privacy Contains physical, informational, Psychological , and social dimensions. The factors affecting the achievement of this concept include individual backgrounds, nature of the disease, patriarchal behavior, and conflict between privacy and treatment. The fulfillment of patient privacy leads to such consequences as protection and improvement of human dignity as well as i mproved communication between the patient and the health team .
A Novel Security Protocol for Wireless Sensor Networks with Cooperative Communication

This paper builds upon the foundation and clarifies specifications for a necessary security protocol in Wireless Sensor Networks (WSNs) with cooperative communications. It is designed to enhance performance and resiliency against cyber-attacks. Recent literature has shown that developing a WSN with Cooperative Communication greatly increases the performance of the network, but also exposes new vulnerabilities. The technique operates by transmitting packets of data to neighboring relay nodes in a cooperative fashion to reach the destination. In this paper, we consider security issues in WSNs with cooperative communication on each layer of the OSI model: physical layer, data link layer, network layer, service (topology) layer, and application layer. For each layer, we clarify the main task, enumerate the main attacks and threats, specify the primary security approaches and techniques (if any), and discuss possible new attacks and problems that may arise with the use of cooperative communications. Furthermore, we show for some attacks (e.g., jamming, packet dropping, and wormhole) that using cooperative communication improves the network resiliency and reliability. Finally, we propose a security protocol that addresses many of these shortcomings, while outlining the remaining issues that need further work and research.
Research Progress on Applications of Polyaniline (PANI) for Electrochemical Energy Storage and Conversion

Conducting polyaniline (PANI) with high conductivity, ease of synthesis, high flexibility, low cost, environmental friendliness and unique redox properties has been extensively applied in electrochemical energy storage and conversion technologies including supercapacitors, rechargeable batteries and fuel cells. Pure PANI exhibits inferior stability as supercapacitive electrode, and can not meet the ever-increasing demand for more stable molecular structure, higher power/energy density and more N-active sites. The combination of PANI and other active materials like carbon materials, metal compounds and other conducting polymers (CPs) can make up for these disadvantages as supercapacitive electrode. As for rechargeable batteries and fuel cells, recent research related to PANI mainly focus on PANI modified composite electrodes and supported composite electrocatalysts respectively. In various PANI based composite structures, PANI usually acts as a conductive layer and network, and the resultant PANI based composites with various unique structures have demonstrated superior electrochemical performance in supercapacitors, rechargeable batteries and fuel cells due to the synergistic effect. Additionally, PANI derived N-doped carbon materials also have been widely used as metal-free electrocatalysts for fuel cells, which is also involved in this review. In the end, we give a brief outline of future advances and research directions on PANI.
DISTANCE METRIC LEARNING FOR THE SELF-ORGANIZING MAP USING A CO-TRAINING APPROACH

The aim of this work is to develop a method of distance metric learning for self-organizing maps. We (cid:12)rst conducted an investigation in a multi-view learning setting, in which Mahalanobis metrics were determined so that two (or more) views reached a consensus in latent variable estimation. We examined two approaches of multi-view learning: co-training and ensemble. Although both approaches worked as expected, our results suggested that the co-training approach performed better. We further extended the method to a single-view learning setting by introducing the concept of pseudo multi-view learning.
An agent-based approach for automatically adapting interfaces to human diversities and gender specificities.

One among the most time-consuming activities related to the design of interfaces is manually collecting data about the behavior of users while interacting with prototypes. Nevertheless the relevance of this activity is even greater when the artifact undergoing the design process is a web-based application, since an enormous amount of diversities and specificities – such as the gender-based differences in the cognitive process – should be appropriately addressed. In this work we trace a perspective approach to data collecting based on the use of an intelligent agent aimed at automatically adapting the application interface to users’ behavior.
Interaction and Entanglement of a Pair of Quantum Emitters near a Nanoparticle: Analysis beyond Electric-Dipole Approximation

In this paper, we study the collective effects which appear as a pair of quantum emitters is positioned in close vicinity to a plasmonic nanoparticle. These effects include multipole–multipole interaction and collective decay, the strengths and rates of which are modified by the presence of the nanoparticle. As a result, entanglement is generated between the quantum emitters, which survives in the stationary state. To evaluate these effects, we exploit the Green’s tensor-based quantization scheme in the Markovian limit, taking into account the corrections from light–matter coupling channels higher than the electric dipole. We find these higher-order channels to significantly influence the collective rates and degree of entanglement, and in particular, to qualitatively influence their spatial profiles. Our findings indicate that, apart from quantitatively modifying the results, the higher-order interaction channels may introduce asymmetry into the spatial distribution of the collective response.
The Influence of Graphical User Interface Design on Critical Listening Skills

Current Digital Audio Workstations include increasingly complex visual interfaces which have been criticised for focusing user’s attention on visual rather than aural modalities. This study aims to investigate whether visual interface complexity has an influence on critical listening skills. Participants with experience mixing audio on computers were given critical listening tests while manipulating Graphical User interfaces of varying complexity. Re-sults from the study suggest that interfaces requiring the use of a scroll bar have a significant negative effect on critical listening reaction times. We conclude that the use of scrolling interfaces, by requiring users to hold information in working memory, can interfere with simultaneous critical listening tasks. These results have implications for the design of Digital Audio Workstations especially when using small displays.
Improved Teleoperation of an Industrial Robot Arm System Using Leap Motion and MYO Armband

Teleoperated robot systems can support humans to accomplish their works in lots of applications. However, the performance of teleoperation is easily influenced by human operator's motor function. In order to reduce the misoperation caused by human operator's unintentional behavior, in this paper, an improved teleoperation scheme combined with Leap Motion and MYO armband is proposed to apply in teleoperating an industrial robot arm. By using the proposed method, we can achieve interaction between human operator and industrial robot arm in real-time. Besides, the proposed method can prevent the misoperation caused by unexpected arm shaking. Experimental results demonstrated the effectiveness of the proposed method for a teleoperated robot system.
Dynamic evolution of sentiments in Never Let Me Go: Insights from quantitative analysis and implications

The moods, feelings and attitudes represented in a novel will resonate in the reader by activating similar sentiments. It is generally accepted that sentiment analysis can capture aspects of such moods, feelings and attitudes and can be used to summarize a novel's plot in a story arc. With the availability of a number of algorithms to automatically extract sentiment-based arcs, new approaches for their utilization becomes pertinent. We propose to use nonlinear adaptive filtering and fractal analysis in order to analyze the narrative coherence and dynamic evolution of a novel. We propose to use Never Let Me Go by Kazuo Ishiguro, the winner of the 2017 Nobel Prize for Literature as an example, we show that: 1) nonlinear adaptive filtering extracts a story arc that reflects the tragic trend of the novel; 2) The story arc displays persistent dynamics as measured by the Hurst exponent at short and medium time scales; 3) the plots' dynamic evolution is reflected in the time-varying Hurst exponent. We argue that these findings are indicative of the potential multifractal theory has for computational narratology and large-scale literary analysis. Specifically, that the global Hurst exponent of a story arc is an index of narrative coherence that can identify bland, incoherent and coherent narratives on a continuous scale. And, further, that the local time-varying Hurst exponent captures variation of a novel's plot such that the extreme have specific narratological interpretations.
A DenseNet feature-based loop closure method for visual SLAM system*

Loop closure is a crucial part in SLAM, especially for large and long-term scenes. Utilizing off-the-shelf networks’ features in loop closure becomes a hot spot. However, what kind of network is more suitable in loop closure and how to use their features have not been well-studied. In this paper, DenseNet is introduced in this field according to its own characters. The features of DenseNet preserve both semantic information and structure details and outweigh other popular networks’ features significantly. Based on this, a DenseNet feature-based framework, named Dense-Loop, is proposed to address the loop closure problem. Weighted Vector of Locally Aggregated Descriptor (WVLAD) method is used to encode the local descriptors as the final global descriptor, which could resist geometry structure and viewpoint changes. Furthermore, 4 max-pooling by channel and locality-sensitive hashing (LSH) are adopted to accelerate the search process. Extensive experiments are conducted on public datasets and the results demonstrate Dense-Loop could achieve state-of-the-art performance.