Computer Supported Collaborative Work trends on Media Organizations: Mixing Qualitative and Quantitative Approaches

There is a growing concern in the financial world regarding the lack of resources for the sustainability of media related enterprises. The increasing cost of computing resources and data storage have crucially established the deployment of cost-saving and high-effective technologies. The aim of these technologies should be the support of teamworking. The work environments of the media organizations typically remain stable despite the development of internet. Our purpose was to investigate journalists’ and media professionals’ beliefs regarding Computer Supported Cooperative Work (CSCW) and groupware effectiveness in work routines, based on their experiences. We used a mixed method analysis in the participants’ sample. The participants were randomly selected senior and junior journalists/media professionals, head officers, chief editors and assistants, in two groups of 11 and 12 participants each. In conclusion, the need to improve our understanding of groupware in journalism practice has been recognized, not least because of the risk of “technology illiteracy”, unemployment and isolation. Simply importing training techniques from non-journalistic disciplines has not resulted in improved news publishing

Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain

The emergence of inexpensive off-the-shelf wireless EEG devices led researchers to explore novel paradigms in the field of Human Computer Interaction. In fact, the compliance of these devices with the IoT principles towards pervasive EEG signaling in smart home environments enables new models of interaction and a different perspective from traditional affective computing. In this paper, the implementation of wireless EEG (Emotiv EPOC and Mindawave) IoT connectivity of real time raw signals, through IoT hardware devices and through the Raspberry Pi 2, is presented

Supplier Capacity Planning in the face of Market Uncertainty-The impact of forecast communication on capacity planning

The purpose of this paper is to investigate the internal and external processes at Company X, focusing on forecast creation and how the forecast process impact supplier capacity planning. In order to do so, two research questions have been created. How is the forecast developed internally and how is communicated to internal and external suppliers? How is internal and external supplier capacity planning connected to forecast communication? The topic for the study has been developed together with Company X and focuses on an area in which the results can be of value to the company. The study has been performed using a combination of observations and interviews with internal and external actors. Finding from these interviews have been used to develop a discussion on areas identified as especially important. What can be found is that Company X has well developed internal processes, that have been used over a long period of time. No need can be identified to radically change the internal process. Instead, more focus should be put on developing supplier relationships to improve communication and cooperation.Msc in Logistics and Transport Managemen

Growing Media Skills and Know-How In Situ: Technology-Enhanced Practices and Collaborative Support in Mobile News-Reporting

Over the past decade, mobile news production has had a growing prevalence and has been established as a new type by modern journalism industry. Journalists understand content capturing and sharing as parts of their role in newsrooms. Mobile journalism (mojo) is an evolving form of reporting in which where people use only a smartphone to create and file stories, and it has been gaining ground during the last decade. This paper aims to examine the difficulties, issues, and challenges in real-world mojo scenarios, analyzing the efficacy of prototype machine-assisted reporting services (MoJo-MATE). A usability evaluation is conducted in quantitative and qualitative terms, paying attention to the media literacy support provided through implemented tools and the proposed collaborations. Students of the School of Journalism and Mass Communications, along with postgraduate-level researchers and professional journalists, form the sample for this investigation, which has a two-folded target: To guide the rapid prototyping process for system development and to validate specific hypotheses by answering the corresponding research questions. The results indicate the impact of mobile/on-demand support and training on journalistic practices and the attitudes of future journalists towards specialized technology in the era of constantly evolving digital journalism

A MOBILE CLOUD COMPUTING COLLABORATIVE MODEL FOR THE SUPPORT OF ON-SITE CONTENT CAPTURING AND PUBLISHING

The current paper investigates the design of a collaborative Mobile Cloud Computing model to support the workflow of collecting, editing and publishing news reporting material, aiming at better managing technology and human resources. While semantic services and tools have made tremendous progress in both academic and applied level, journalists dont seem to make the most of contemporary technological possibilities. With the proposed framework, journalists, reporters, technical experts and editors can cooperate remotely and simultaneously on the cloud, collaboratively producing and publish timely, authentic and high-quality content, with proper documentation. Context- and location-aware semantic metadata, provided by mobile devices, guide the field reporter, while also serving annotation and authentication purposes. State-of-the-art mobile publishing tools are used for capturing and processing multimodal assets, which are then uploaded to the cloud. Augmented interaction tools (speech-to-text, voice commands, etc.) can boost usability to overcome the functional constraints of mobile devices, thus facilitating reporting services and improving the overall media experience. Technologists /expert-collaborators monitor the process to meet the quality standards posed by the news reporting team or organization. The adopted human-centred design aims at serving the needs of modern journalists, concerning functionality and effectiveness, promoting their professional development through in-service training. This is succeeded with the implementation of rapid /pilot prototyping and evaluation cycles, in which the project is progressed, leading to the suggestion and the adoption of best practices, within the scope of further automating news reporting procedures

Search for CPCP violation in D0^0→\to KS0^0_\mathrm{S}KS0^0_\mathrm{S} decays in proton-proton collisions at s\sqrt{s} = 13 TeV

International audienceA search is reported for charge-parity D$^0$$\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$$CP$ violation in D$^0$$\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$ decays, using data collected in proton-proton collisions at $\sqrt{s}$ = 13 TeV recorded by the CMS experiment in 2018. The analysis uses a dedicated data set that corresponds to an integrated luminosity of 41.6 fb$^{-1}$, which consists of about 10 billion events containing a pair of ẖadrons, nearly all of which decay to charm hadrons. The flavor of the neutral D meson is determined by the pion charge in the reconstructed decays D$^{*+}$$\to$ D$^0\pi^+$ and D$^{*-}$$\to$ D$^0\pi^-$. The D$^0$$\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$$CP$ asymmetry in D$^0$$\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$ is measured to be $A_{CP}$( K$^0_\mathrm{S}$K$^0_\mathrm{S}$) = (6.2 $\pm$ 3.0 $\pm$ 0.2 $\pm$ 0.8)%, where the three uncertainties represent the statistical uncertainty, the systematic uncertainty, and the uncertainty in the measurement of the D$^0$ $\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$ $CP$ asymmetry in the D$^0$ $\to$ K$^0_\mathrm{S}\pi^+\pi^-$ decay. This is the first D$^0$ $\to$ K$^0_\mathrm{S}$K$^0_\mathrm{S}$ $CP$ asymmetry measurement by CMS in the charm sector as well as the first to utilize a fully hadronic final state

The CMS Statistical Analysis and Combination Tool: COMBINE

International audienceThis paper describes the COMBINE software package used for statistical analyses by the CMS Collaboration. The package, originally designed to perform searches for a Higgs boson and the combined analysis of those searches, has evolved to become the statistical analysis tool presently used in the majority of measurements and searches performed by the CMS Collaboration. It is not specific to the CMS experiment, and this paper is intended to serve as a reference for users outside of the CMS Collaboration, providing an outline of the most salient features and capabilities. Readers are provided with the possibility to run COMBINE and reproduce examples provided in this paper using a publicly available container image. Since the package is constantly evolving to meet the demands of ever-increasing data sets and analysis sophistication, this paper cannot cover all details of COMBINE. However, the online documentation referenced within this paper provides an up-to-date and complete user guide

Dark sector searches with the CMS experiment

Astrophysical observations provide compelling evidence for gravitationally interacting dark matter in the universe that cannot be explained by the standard model of particle physics. The extraordinary amount of data from the CERN LHC presents a unique opportunity to shed light on the nature of dark matter at unprecedented collision energies. This Report comprehensively reviews the most recent searches with the CMS experiment for particles and interactions belonging to a dark sector and for dark-sector mediators. Models with invisible massive particles are probed by searches for signatures of missing transverse momentum recoiling against visible standard model particles. Searches for mediators are also conducted via fully visible final states. The results of these searches are compared with those obtained from direct-detection experiments. Searches for alternative scenarios predicting more complex dark sectors with multiple new particles and new forces are also presented. Many of these models include long-lived particles, which could manifest themselves with striking unconventional signatures with relatively small amounts of background. Searches for such particles are discussed and their impact on dark-sector scenarios is evaluated. Many results and interpretations have been newly obtained for this Report.Astrophysical observations provide compelling evidence for gravitationally interacting dark matter in the universe that cannot be explained by the standard model of particle physics. The extraordinary amount of data from the CERN LHC presents a unique opportunity to shed light on the nature of dark matter at unprecedented collision energies. This Report comprehensively reviews the most recent searches with the CMS experiment for particles and interactions belonging to a dark sector and for dark-sector mediators. Models with invisible massive particles are probed by searches for signatures of missing transverse momentum recoiling against visible standard model particles. Searches for mediators are also conducted via fully visible final states. The results of these searches are compared with those obtained from direct-detection experiments. Searches for alternative scenarios predicting more complex dark sectors with multiple new particles and new forces are also presented. Many of these models include long-lived particles, which could manifest themselves with striking unconventional signatures with relatively small amounts of background. Searches for such particles are discussed and their impact on dark-sector scenarios is evaluated. Many results and interpretations have been newly obtained for this Report

Search for the Z boson decay to ττμμ\tau\tau\mu\mu in proton-proton collisions at s\sqrt{s} = 13 TeV

International audienceThe first search for the Z boson decay to $\tau\tau\mu\mu$ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138 fb$^{-1}$. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.9 times the standard model expectation is placed on the ratio of the Z $\to$ $\tau\tau\mu\mu$ to Z $\to$ 4$\mu$ branching fractions. Limits are also placed on the six flavor-conserving four-lepton effective-field-theory operators involving two muons and two tau leptons, for the first time testing all such operators