Amphibole compositions as indicators of deep crustal and mantle processes in subduction zones: case study – Tso Morari metamafics, Ladakh, Himalaya

We present the digital whiteboard system Tele-Board, which automatically captures all interactions made on the all-digital whiteboard and thus offers possibilities for a fast interpretation of usage characteristics. Analyzing team work at whiteboards is a time-consuming and error-prone process if manual interpretation techniques are applied. In a case study, we demonstrate how to conduct and analyze whiteboard experiments with the help of our system. The study investigates the role of video compared to an audio-only connection for distributed work settings. With the simplified analysis of communication data, we can prove that the video teams were more active than the audio teams and the distribution of whiteboard interaction between team members was more balanced. This way, an automatic analysis can not only support manual observations and codings, but also give insights that cannot be achieved with other systems. Beyond the overall view on one sessions focusing on key figures, it is also possible to find out more about the internal structure of a session.

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Case Studies: A Brief Introduction and Suggested Guidelines for the Field

Journal of Arts Entrepreneurship Education ◽

10.46776/jaee.v3.75 ◽

2021 ◽

Vol 3 (1) ◽

pp. 4-11

Author(s):

Emma Fleck

Keyword(s):

Case Studies ◽

Teaching And Learning ◽

Best Practice ◽

Entrepreneurship Education ◽

Special Issue ◽

Good Case ◽

Traditional Research ◽

Teaching Cases ◽

Parent Discipline

Case studies are a common teaching and learning tool within entrepreneurship and its parent discipline, business, as a method of bringing the nuances of realism to complex theoretical problems. However, within the arts entrepreneurship field, they are used less frequently for pedagogical purposes and often with hesitation. Consequently, in this guide to the Case Study Edition, I aim to briefly: provide a rationale for using case studies in arts entrepreneurship education; illustrate what makes a good case study; highlight the mechanics of writing case studies by clearly outlining the expectations of a submission to JAEE for both traditional research cases and teaching cases; summarize the cases within this special issue and highlight why they demonstrate best practice example cases.

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Uncertainty in 2-D hydraulic modeling: a case study of an experiment in transcritical flowThis article is one of a selection of papers published in this Special Issue on Hydrotechnical Engineering.

Canadian Journal of Civil Engineering ◽

10.1139/l09-179 ◽

2010 ◽

Vol 37 (7) ◽

pp. 1014-1023 ◽

Cited By ~ 2

Author(s):

L. Lewicki ◽

A. Paquier ◽

K. El kadi Abderrezzak ◽

N. Rivière

Keyword(s):

Urban Areas ◽

Hydraulic Modeling ◽

Special Issue ◽

Numerical Predictions ◽

Space Step ◽

Dam Break Flow ◽

Flow Propagation ◽

Averaged Model ◽

Selection Of

Change in flow regime from subcritical to supercritical flow or opposite can be met during a dam break flow propagation but also during floods in urban areas, particularly near crossroads. Detailed laboratory measurements of flow discharge distribution and flow depths are carried out for transcritical dividing flows in a 90° sharp-edged, rectangular junction formed by horizontal open-channels of equal width. These measurements are used to assess the uncertainty of numerical predictions obtained using a two-dimensional (2-D) depth-averaged model. A sensitivity analysis to four parameters, i.e., space step, friction coefficient, diffusion coefficient, and downstream boundary condition, is carried out. For the water depths in the vicinity of the intersection, uncertainty linked to the calibration of the four aforementioned parameters can be higher than 50% because of the difficulty in representing the location and amplitude of the hydraulic jumps while, for the flow ratio between the downstream branches, uncertainty is limited to 10%.

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Occurrence of Permian palynofossils from the Saltoro Formation, Shyok-Suture-Zone, Ladakh Himalaya, India

Himalayan Journal of Sciences ◽

10.3126/hjs.v5i7.1302 ◽

2008 ◽

Vol 5 (7) ◽

pp. 113

Author(s):

Ram Awatar

Keyword(s):

Suture Zone ◽

Special Issue ◽

Ladakh Himalaya

DOI = 10.3126/hjs.v5i7.1302 Himalayan Journal of Sciences Vol.5(7) (Special Issue) 2008 p.113

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Inclusive Peace Negotiations – From a Neglected Topic to New Hype

International Negotiation ◽

10.1163/15718069-24011186 ◽

2019 ◽

Vol 24 (1) ◽

pp. 1-6 ◽

Cited By ~ 4

Author(s):

Thania Paffenholz ◽

I. William Zartman

Keyword(s):

Political Parties ◽

Sierra Leone ◽

Special Issue ◽

Case Study Approach ◽

Society Business ◽

Study Approach ◽

Peace Negotiations ◽

Religious Actors

Abstract The objective of this special issue on inclusive peace negotiations is to advance the debate on negotiations. It sheds light on included and excluded actors, in particular political parties, civil society, business, youth and religious actors, and those armed actors that are either excluded or included. This special issue is particularly interesting as all articles combine a conceptual introduction of the role of the discussed actor in question in peace negotiations with a case study approach. This method enriches conceptual discussion and debates on the role of the various actors through analyses of several peace negotiations, including among others, DRC, Kenya, Liberia, Sierra Leone, Somalia, Guatemala, El Salvador, Bosnia & Herzegovina, Macedonia, Great Britain and Northern Ireland, and Myanmar.

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AI-Assisted Decision-making in Healthcare

Asian Bioethics Review ◽

10.1007/s41649-019-00096-0 ◽

2019 ◽

Vol 11 (3) ◽

pp. 299-314 ◽

Cited By ~ 8

Author(s):

Tamra Lysaght ◽

Hannah Yeefen Lim ◽

Vicki Xafis ◽

Kee Yuan Ngiam

Keyword(s):

Ethical Issues ◽

Healthcare Systems ◽

Decision Makers ◽

Computational Power ◽

Special Issue ◽

Public Benefit ◽

Ethics Framework ◽

Full Explanation ◽

Algorithmic Bias

Abstract Artificial intelligence (AI) is set to transform healthcare. Key ethical issues to emerge with this transformation encompass the accountability and transparency of the decisions made by AI-based systems, the potential for group harms arising from algorithmic bias and the professional roles and integrity of clinicians. These concerns must be balanced against the imperatives of generating public benefit with more efficient healthcare systems from the vastly higher and accurate computational power of AI. In weighing up these issues, this paper applies the deliberative balancing approach of the Ethics Framework for Big Data in Health and Research (Xafis et al. 2019). The analysis applies relevant values identified from the framework to demonstrate how decision-makers can draw on them to develop and implement AI-assisted support systems into healthcare and clinical practice ethically and responsibly. Please refer to Xafis et al. (2019) in this special issue of the Asian Bioethics Review for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end of this paper.

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