Reviewerly/exHarmony huggingface dataset:
Rethinking Shared Team Cognition for Team Problem Solving: The Effects of Sharedness Distribution

In this research, we explore how the distribution of cognitive sharedness affects team complex problem solving performance. Using agent-based modeling method, we model a cross-functional team consisting of four team members with different knowledge, who are responsible for different tasks and share knowledge with each other in different ways to solve the team’s complex problem. Based on the simulation results, we derive a set of propositions about the comparative effects on team performance of different distributions of cognitive sharedness. We find that the distribution of cognitive sharedness matters a great deal to team problem solving performance. No sharedness distribution performs worst, dispersed sharedness distribution performs best among all the distributions, and centralized sharedness distribution performs better than divided sharedness distribution. Furthermore, task interdependence affects the extent to which cognitive sharedness distribution benefits team performance. Our findings in this study advance the conceptual sophistication of shared mental model literature by incorporating the aspects of a distributional model of knowledge.
Superpixel-based video saliency detection via the fusion of spatiotemporal saliency and temporal coherency

We advocate a model to effectively detect salient objects in various videos; the proposed framework [spatiotemporal saliency and coherency, (STSC)] consists of two modules, for capturing the spatiotemporal saliency and the temporal coherency information in the superpixel domain, respectively. We first extract the most straightforward gradient contrasts (such as the color gradient and motion gradient) as the low-level features to compute the high-level spatiotemporal gradient features, and the spatiotemporal saliency is obtained by computing the average weighted geodesic distance among these features. The temporal coherency, which is measured by the motion entropy, is then used to eliminate the false foreground superpixels that result from inaccurate optical flow and confusable appearance. Finally, the two discriminative video saliency indicators are combined to identify the salient regions. Extensive quantitative and qualitative experiments on four public datasets (FBMS, DAVIS, SegtrackV2, and ViSal dataset) demonstrate the superiority of the proposed method over the current state-of-the-art methods.
Towards Automated Network Mitigation Analysis (extended version)

Penetration testing is a well-established practical concept for the identification of potentially exploitable security weaknesses and an important component of a security audit. Providing a holistic security assessment for networks consisting of several hundreds hosts is hardly feasible though without some sort of mechanization. Mitigation, prioritizing counter-measures subject to a given budget, currently lacks a solid theoretical understanding and is hence more art than science. In this work, we propose the first approach for conducting comprehensive what-if analyses in order to reason about mitigation in a conceptually well-founded manner. To evaluate and compare mitigation strategies, we use simulated penetration testing, i.e., automated attack-finding, based on a network model to which a subset of a given set of mitigation actions, e.g., changes to the network topology, system updates, configuration changes etc. is applied. Using Stackelberg planning, we determine optimal combinations that minimize the maximal attacker success (similar to a Stackelberg game), and thus provide a well-founded basis for a holistic mitigation strategy. We show that these Stackelberg planning models can largely be derived from network scan, public vulnerability databases and manual inspection with various degrees of automation and detail, and we simulate mitigation analysis on networks of different size and vulnerability.
MAJOR EARTH ELEMENTS GEOCHEMISTRY OF ASIRGARH VOLCANICS, BURHANPUR DISTRICT, M.P.

Geochemistry is described as the tools and principles of chemistry to provide clarification the mechanisms at the back most important geological systems of the Earth.  Scientists who studied the origin of chemical elements, their evolution, the classes of rocks and he studied also how they are created and changed by earth processes. The chemical analysis (SiO 2 , Al 2 O 3 , Fe 2 O 3 , MgO, CaO, K 2 O, TiO 2 , P 2 O 5 , MnO,) for representative samples from the different stratigraphic levels have been carried out and their detailed geochemical characteristics and crystallization behavior were discussed for various major Earth elements. The data has been plotted and interpreted to understand the geochemical signatures of lava flows. The geochemical plotting are show the co-variation of elemental components that may give insight to magmatic processes such as partial melting, magma mixing, country rock contamination and fractional crystallization.
Automatic Text Segmentation and Recognition in Natural Scene Images Using Msocr

Introduction: Segmentation and recognition of text from the scene image are a challenging task due to blurred, low-resolution and small sized image. Materials and Methods: Innovative methods have been proposed to address this problem and to recognize the text from the natural scene image. The acquired image is pre-processed by the YUV channel conversion technique and the Y channel image is converted to a gray scale image. Connected Component Based Text Segmentation Algorithm (CCBTSA) and MSER methods are used for segmentation and recognition of text using Optical Character Recognition (OCR). GLCM and FOS features are extracted from the segmented region. The Template matching algorithm is used to extract the text character from the bounding box of the segmented image. Results and Conclusion: Trained SVM classifier is used to classify the image containing text and non-text region. Performances are analyzed based on the recall rate, precision, accuracy, and Fmeasure. From the experimental results, the accuracy of the proposed classifier was obtained as 95%.
The Market/Your Customers

Finding prospects in the vast market and creating satisfied customers that value your software product—that’s your purpose as a product manager and the lifeline of Software Product Management. This chapter describes in detail The MarketPYPR dimension The Market/Your Customers Market /Your CustomersCustomer dimension that represents “The Purpose of the Software Product Manager Role”. This PYPR dimension focuses on the external view of your product, including As product managers, we are continuously talking to the market and to existing customers. The target market segment defines your potential for product growthProduct growth potential , while the existing customers define the adoption of your product. As the General Manager of YourProduct Inc., you balance market and customer requirements. You balance the special attention required for current product capabilities (e.g. Go-to-Market, software demonstrations, training, enablement), for future product capabilities (e.g. product vision, strategy and planning), and the manifestation of your work (e.g. user feedback, surveys, references) regarding customers, prospects, and other external matters.
«Di tromba marina» («Decameron» IX 5.35)

L’esegesi dell’espressione «(giovani) di tromba marina» (Decameron IX 5.35), come riconosce Vittore Branca, «non e del tutto sicura». L’autore, dopo aver discusso le chiose correnti, riprende un’interpretazione minoritaria, quella di tromba marina come strumento musicale (Quarta Crusca e Grande Dizionario della Lingua Italiana), ma l’inquadra in una maniera del tutto nuova, mettendo a confronto, come il testo sembra richiedere, quello strumento con la ribeca di Calandrino.The exegesis of the expression «(giovani) di tromba marina», «(youth) of marine trumpet» (Decameron IX 5.35), as Vittore Branca acknowledged, «is not entirely sure». The author, after discussing the current glosses, takes up a minority interpretation, that of the «tromba marina» as a musical instrument (4th edition of the Crusca, Grande Dizionario della Lingua Italiana), but he frames the explanation in a quite new way, comparing, as the text seems to require, that instrument with Calandrino’s rebec.
Technology Appropriation in Public Funded Research Organizations: An Empirical Evidence using Patent

Public Funded Research Organizations (PFROs) are the epitome of inclusive organizations. Every country organizes and manages these organizations for the purpose of increasing the production and proper diffusion of scientific research which forms an essential part of National Innovation Systems. While general agreement exists about the role of the PFROs as centers for fundamental basic research, a stronger interest has been expressed for a proper follow-up of ideas from PFRO research which may lead to applications of industrial significance. In this study, we analyze the patent maintenance data to evaluate the significance of commercially important knowledge generated from PFROs. Impact of cross-institutional relationships and knowledge dissemination on generating commercially important knowledge from these organizations of National importance is carried using Cox Proportionality Hazard Models. The focus of our study is public funded research organizations (PFROs) which are believed to be an integral part of National Innovation Systems (NIS) and thus form a crucial and essential part of inclusive economic growth. Data were collected from 43 PFROs across India during the period 2000-2017. Based on our results, we also derive some policy and decision making implications for public research particularly in the context of transition economies.
Promotion of Morrison’s Realistic Novels Based on Information Technology and Artificial Intelligence

Virtual reality is based on computer technology, combined with relevant science and technology, to generate a digital environment that is highly similar to a certain range of real environment in terms of sight, hearing and touch. Users interact with objects in the digital environment with the necessary equipment and interact with each other. Virtual reality technology can provide more comprehensive and effective research conditions and solutions for existing or potential problems in the real world. In Morrison’s works, Magic Realism is carried forward, which adds infinite charm to his works. Morrison reappears the heavy history and gloomy picture of black people’s life for readers, and profoundly reveals the evil of racial discrimination and its trauma to black people. In addition, Morrison is brave enough to face the tragic history of the black people and combine the real world with the nihilistic fantasy.
Corporate Governance Innovation in the Digital Age

Since the advent of the digital age, a number of notable innovations have been developed which are likely to affect corporate governance outcomes. These include the development of blockchain ledgers, e-voting, robo-advisors, and dark pools, among others. To make sense of these new developments, we propose a historically-informed model of corporate governance innovation connecting the producers, users, and key characteristics of these innovations to their effect on corporate governance outcomes relating to corporate control. We argue that the most salient characteristics of these innovations are how they affect investors’ participation in monitoring firms, in addition to their impact on the strength of investors’ relationships with firms. The effect of these characteristics is moderated by users’ and producers’ behaviors, resources, capabilities, and complementarities–in other words, the extent to which actors can effectively deploy the innovations to achieve their corporate control objectives. Essentially, we argue that corporate governance innovations act as antecedents to corporate governance outcomes. By identifying the salient features of corporate governance innovations created in the past and observing their effect on corporate governance outcomes, we then apply the model to inform our understanding of the likely impact of recently-developed corporate governance innovations in the digital age.
Making when ends don't meet: Visibility of domestic labor during grassroots DIY innovation

Makerspaces, hackathons, and technology incubators are key emerging sites for communication practice and research. Yet, little is known about how resource-constrained, non-Western families practice DIY (Do It Yourself). Revisiting craft’s roots in families practicing artisanal trades, I find that the visibility of DIY innovation relies on the infrastructuring of family members who perform articulation work despite tremendous economic risk through traditional and transgressive family and gender roles and identities.
Process deviance and compliance as reactions to digitization-focused process innovation

Today’s fast-moving business requires firms to implement new digital processes both internally and externally. Though the strategic decision to invest in digitization is a starting point, the successes of these initiatives are largely dependent on employees’ willingness to help implement these strategies - both employees working in IT departments and on the “frontline”. This research aims to investigate when digital business intensity leads to either constructive process deviance or process compliance. A four-component model of felt-obligations serves as a mediating component. Based on a survey of 427 employees who recently experienced the introduction of new digital processes, we find that digital business intensity has an indirect effect on process compliance, but not on constructive process deviance. In addition, we find that different path strengths exist for IT professionals compared to non-IT professionals. The study concludes by delineating implications for theory and management in an age of digital transformation.
The Principle of Opposites, Epistemological Information and Paradigms of Thought

Every information structure that can be abstracted for scientific and non-scientific knowing over the ontological space is generated by an energy process.
Proof-Theoretic Analysis of Logical Properties

In the following, we show how proof-theoretic arguments will work well in study of logical properties. Distinguishing features of proof-theoretic approach lie in its concrete and combinatorial aspects, which often yield information much more than semantical approach. Two major instruments for developing proof-theoretic study are cut elimination and inductive arguments using the length of proofs. In fact, cut elimination and subformula property play an essential role in showing logical properties discussed below, i.e., the decision problem, the disjunction property of intuitionistic logic, and Craig’s interpolation property. In the last section, we show that inductive arguments also work well even if a given proof contains applications of cut rule.
Association Analysis Among Treatment Modalities and Comorbidity for Prostate Cancer

Prostate cancer is a common cancer treated with multi-modality. The combinations of modalities are numerous and complex. Clinical practice guidelines and rules have already been proven in many studies. However, the hypotheses of these studies came from physicians' and experts' experiences and observation. Association analysis, as an importance component of data mining, has been proved to be helpful for us to discover rules from big medical databases. We believe association analysis is able to help us to discover new rules between comorbidities and modalities in subjects of prostate cancer, so that employed it to analyze prostate cancer dataset derived from million people file of NHIRD. We successfully found six rules and rule 1,2,3,5,6 could be well explained with known knowledge and literatures, which were "Young prostate cancer patient who were spared from definite treatment tend to be spared from HT.", "TRUS is associated with younger age group, while TURP is associated with older Age.", "RT is associated with HT.", "CT is highly associated with RT.", "Hemiplegia, cerebrovascular disease, moderate to severe renal disease, diabetes with end organ damage is associated with TURP. Patients with TURP are associated with more comorbidity." We also discovered rule 4: "Younger patients who received HT is highly associated with previous RP.", which are still hypothesis and deserve our validation.
Lossy Color Image Compression Technique using Reduced Bit Plane-Quaternion SVD

Color Image Compression has nowadays become a commonly used method for representing data present in images as few bits as possible by removing data redundancy along with maintaining an appropriate image quality level for the user. In recent years, various algorithms on quaternion based color image compression have been proposed. Thus in this paper, a novel lossy image compression algorithm based on Bit-Plane Reduction and Singular Value Decomposition is proposed. Here, two different types of implementation using these two techniques are shown. In both the methods, a color image is first decomposed into its three different planes i.e. red, green and blue. Then, matrices are formed by concatenation of these on which the bit plane reduction is done and after that SVD is applied to improve the PSNR values. Thus, two methods based on real SVD and quaternion SVD is implemented and their results are compared in terms of various fidelity factors such as PSNR, SSIM, MSE, and CR.
Imperator Aleksandr III i ego epokha. By I. E. Dronov. Moscow: Akademicheskii proekt, 2016. 656 pp. Notes. ₽770, hard bound.

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Comparative Analytics: Fuzzy-Stochastic and Non-fuzzy-Stochastic Entropies

This chapter is used to compare and contrast the differences and similarities among the fuzzy-non-stochastic entropy.
The Use Of Multimedia Visualization Techniques In The Blogosphere (The Parthenon Vlog)

February 16, 2018 Leonid Parfenov, after a long and prolonged resistance, created his channel on Youtube. At the time of writing this study, the number of subscribers is approaching half a million, the number of viewers of each new issue ranges from 300 to 400 thousand. The journalist explains his appearance on Youtube by the fact that he has decided to show current events of a week and analyze them. Thus, Parfenov has occupied a niche focused not only on his core audience that no longer watches TV, but also on those who grew up on Youtube and wants to develop. The format of the video blog is typical for Youtube, however, illustrations, quotes, photos, subtitles, custom videos, classic reporter stand-ups have become the advantage of the blog. Definitely new for Parfenov as an online journalist is the use of a selfie stick, which gives the author some kind of mobility and allows demonstrating the narrated objects nearby in a signature style. A subtitled video is a new and very relevant to the eventful context of Parfenov narration. Each reference to any cultural or socially significant events reflected, is accompanied with an inscription, caption on the screen with photo illustrations that give additional information about the subject of the conversation. In the present article we analyze each of these techniques in detail.
Sharing is Caring: How Decentralization in DLTBO Drives the Success of Temporary Organizations

Reacting to the fast-moving environment of the information technology-driven global economy, firms are increasingly putting their hopes on temporary forms of organizing to account for the need of flexibility and accelerated task fulfilment. The latest developments in distributed ledger technology (DLT; e.g., blockchain technology) have been substantially altering our understanding of coordinating activities among distributed actors thereby enabling novel forms of temporary organizations (e.g., distributed autonomous organizations; DAOs). By further decentralizing the organizational solutions to the ‘four universal problems of organizing’, DLT may positively influence the performance of temporary organizations. Integrating research on novel forms of organizing with work on governance in project and network theory, we theorize on the relationship between decentralization and temporariness as well as drivers of success in DLT-based organizations (DLTBO). We posit that DLTBO classify for a new form of temporary organizations exhibiting stronger degrees of decentralization, that may dissolve tensions of goal alignment within temporary organizations. Bridging structural and temporal perspectives of organization research, our article advances recent theorizing on DLT-based decentralized organizations and contributes to the literature on temporary organizing by suggesting a novel and distinct organizational form, and examining the influences, its mechanisms may have on the performance and duration of temporary organizations.
Fixation Based Object Recognition in Autism Clinic Setting

With the increasing popularity of portable eye tracking devices, one can conveniently use them to find fixation points, i.e., the location and region one is attracted by and looking at. However, region of interest alone is not enough to fully support further behavior and psychological analysis since it ignores the abundant information of visual information one perceives. Rather than the raw coordinates, we are interested to know the visual content one is looking at. In this work, we first collect a video dataset using a wearable eye tracker in an autism screening room setting with 14 different commonly used assessment tools. We then propose an improved fixation identification algorithm to select stable and reliable fixation points. The fixation points are used to localize and select object proposals in combination with object proposal generation methods. Moreover, we propose a cropping generation algorithm to determine the optimal bounding boxes of viewing objects based on the input proposals and fixation points. The resulted cropped images form a dataset for the subsequent object recognition task. We adopt the AlexNet based convolutional neural network framework for object recognition. Our evaluation metrics include classification accuracy and intersection-over-union (IoU), and the proposed framework achieves $$92.5\%$$ and $$88.3\%$$ recognition accuracy on different testing sessions, respectively.
Exploration of Practice Teaching Mode of Product Design Based on Three-dimensional Printing Technology

Abstract As a highly interdisciplinary and practice major, product design is expected to achieve the cultivation of innovative talents with artistic accomplishment, engineering knowledge, business awareness and design skills within limited learning time. Technology and art are regarded as the core of its cultivation. In the traditional industrial processing system, mass industrial production is taken by product design practice as the premise. Nevertheless, the maturity of rapid prototyping system represented by three-dimensional printing technology and its combination with whole-process digitalization and intelligent production bring about a great reduction in individualized customization and flexible production costs, which leads to new development opportunities for product design practice. This paper is devoted to the discussion of the practice teaching mode of product design in the context of three-dimensional printing technology.