Results and Prospects of T2K

T2K is a neutrino oscillation experiment with a 295 km long baseline between the far detector, Super-Kamiokande, and a suite of near detectors to study $\nu_\mu/\bar{\nu}_\mu$ disappearance and $\nu_e/\bar{\nu}_e$ appearance in a $\nu_\mu/\bar{\nu}_\mu$ neutrino beam produced at J-PARC. The experiment has excluded CP conservation in the three-neutrino oscillation model at $>90~\%$ CL and precisely constrained the parameters $\vert \Delta m_{32}^2 \vert$ and $\sin^2 \theta_{23}$. This paper reports on the novelties of the most up-to-date 2022 analysis and the near-future prospects of T2K.Comment: 6 pages, 4 figures, contribution to the 2023 Electroweak session of the 57th Rencontres de Morion

Enhancing collaboration through idea-level granularity: from information sharing across security levels to collaborative learning

This paper proposes that idea-level granularity is an innovative design construct that has the potential to extend the boundaries of a range of human and organizational capabilities. Two examples are provided of how technology based on idea-level granularity versus document-level granularity can broadly transform collaborative work. Organizational success will depend on enabling sufficient information sharing across teams and organizations while preserving essential confidentiality and integrity. This paper explores the problems of producing and consuming information at different levels of classification and presents how technology based on idea-level granularity can overcome these problems. Collaborative learning works; but, instructors are frustrated in assessing individual contributions, students complain about freeloading, and worst, freeloaders may fail to learn. Over two years, technology based on idea-level granularity was used to mitigate these flaws by allowing individual contributions within collaborative work to be identified, tracked, and analyzed. Students liked the ability of the instructor to monitor contributions; do not like overwriting other’s work, nor other’s overwriting their work; and most importantly, enjoyed a more positive group experience than in prior classes

Instructing with Advanced Collaboration Technology: Lessons Learned and Unexpected Transformations

This paper provides lessons learned and some unexpected transformations in the learning process when advanced collaboration technology was used to overcome limitations of a popular, existing collaboration technology. The activities pursued in these advanced undergraduate and graduate computer and information sciences courses replicate many of the activities in collaborative knowledge work in organizations. Therefore, the lessons learned should be applicable to transforming other kinds of joint knowledge work in general

Model of Critical Factors for Outsourcing Agile Development

Companies are beginning to combine outsourcing with Agile software engineering techniques with the goal of receiving the benefits of both – faster time to market, greater quality, and smaller costs. Since Agile was originally developed to work principally with small collocated teams, scalability of Agile to the enterprise, and simultaneous use of Agile and outsourcing are questions concerning applicability of Agile techniques to global business environments. This paper first summarizes current experience studies and research in Agile, enterprise Agile and Agile outsourcing, to identify factors likely to affect success on Agile projects. It then extends a model originally developed by Chow and Cao (2007) to account for these factors. Finally it outlines an experiment whose goal is to determine which of these factors drives successful projects that use both Agile and outsourcing

EXPANDING ORGANIZATIONAL TRANSACTIVE MEMORY ASYNCHRONOUSLY: THE EFFECT OF EXPERTISE

Organizations learn by sharing information. While filtering may exclude potentially valuable information, information overload may prevent the adequate identification of important information. Lee andBrooks [1993] report on the introduction of a document classification and information dissemination system for soft information. There was an initial concern that users would use high priority categories excessively within the grapeVINE system, thereby reducing the effectiveness of the filtering process. In fact, Lee and Brook found that people tended to undervalue their contributions and not put a high enough priority on their contribution. A large percent of the information in the grapeVINE system was added at low priority, causing the information not to be shared. A major advantage touted of groups is the potential for pooling unshared information and thereby improving task accomplishment. Stasser found that groups tend to discuss topics that they have in common(shared information) more then their unique knowledge (unshared information) [Stewart, 1992]. Based on social validation theory, Stewart [1992] predicted and found evidence that telling someone he or she is an expert, separately and in front of the other members of a group, increased the proportion of unshared information. This paper explores the affect of expertise on organizational transactive memory with respect to the filtering and sharing of information. First transactive organizational memory is briefly discussed, followed by relevant aspects of social validation theory and a description of the filtering and sharing model embodied in Brook\u27s classification and dissemination system. We then describe the experimental design used to isolate the effects of expertise on the filtering and sharing of information, present results, and discuss their implications

The gatekeeper: individual differences are key in the chain from perception to behaviour

A basic assumption in mainstream social cognition is that the path from perception to behaviour is often automatic and direct, as supported for example by several experimental studies showing that priming can lead directly to a congruent behaviour without any need of conscious awareness of the process. However, we argue that the priming of a goal or an object activates individual differences in automatic evaluations at the associative level that in turn are the key predictors of action (gatekeeper model). A study (n = 90) on the American stereotype is presented to support the model. The results show that individual differences of the American stereotype as assessed with the IAT predicts a relevant action (essay evaluation) but only under condition of priming. Broader implications for predictive validity of implicit measures are also discussed

Instructing with advanced collaboration technology: lessons learned and unexpected transformations

This paper provides lessons learned and some unexpected transformations in the learning process when advanced collaboration technology was used to overcome limitations of a popular, existing collaboration technology. The activities pursued in these advanced undergraduate and graduate computer and information sciences courses replicate many of the activities in collaborative knowledge work in organizations. Therefore, the lessons learned should be applicable to transforming other kinds of joint knowledge work in general.Education for the 21 st century - impact of ICT and Digital Resources ConferenceRed de Universidades con Carreras en Informática (RedUNCI

Electric Switching of the Charge-Density-Wave and Normal Metallic Phases in Tantalum Disulfide Thin-Film Devices

We report on switching among three charge-density-wave phases - commensurate, nearly commensurate, incommensurate - and the high-temperature normal metallic phase in thin-film 1T-TaS2 devices induced by application of an in-plane electric field. The electric switching among all phases has been achieved over a wide temperature range, from 77 K to 400 K. The low-frequency electronic noise spectroscopy has been used as an effective tool for monitoring the transitions, particularly the switching from the incommensurate charge-density-wave phase to the normal metal phase. The noise spectral density exhibits sharp increases at the phase transition points, which correspond to the step-like changes in resistivity. Assignment of the phases is consistent with low-field resistivity measurements over the temperature range from 77 K to 600 K. Analysis of the experimental data and calculations of heat dissipation suggest that Joule heating plays a dominant role in the electric-field induced transitions in the tested 1T-TaS2 devices on Si/SiO2 substrates. The possibility of electrical switching among four different phases of 1T-TaS2 is a promising step toward nanoscale device applications. The results also demonstrate the potential of noise spectroscopy for investigating and identifying phase transitions in materials.Comment: 32 pages, 7 figure