60 research outputs found
Social Printers:a physical social network for political debates
Social Printers are physical devices that create a pseudonymous social network between households during televised political debates. Through studies conducted around the Scottish Parliamentary Election and EU Referendum in 2016, we aimed to understand how physical devices could be used to engage viewers with televised political debates. By displacing the interaction from conventional social media and second screens we observed that the printers were successful in encouraging the participants to share their thoughts and create a personal social experience. Based on the results we discuss potential implications for conventional social media and second screens in the context of political television programs
The Use of Private Mobile Phones at War:Accounts From the Donbas Conflict
Studying technology use in unstable and life-threatening conditions can help highlight assumptions of use built into technologies and foreground contradictions in the design of devices and services. This paper provides an account of how soldiers, volunteers, and civilians use mobile technologies in wartime, reporting on fieldwork conducted in Western Russia and Eastern Ukraine with people close to or participating directly in the armed conflict in the Donbas region. We document how private mobile phones and computers became a crucial but ambiguous infrastructure despite their lack of durability in extreme conditions of a military conflict, and their government and military surveillance potential. Our participants rely on a combination of myths and significant technical knowledge to negotiate the possibilities mobile technologies offer and the life-threatening reality of enemy surveillance they engender. We consider the problems of always-on, always-connected devices under conditions of war and surveillance and our responsibilities as HCI practitioners in the design of social technologies
Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events
This paper investigates bias in coverage between Western and Arab media on
Twitter after the November 2015 Beirut and Paris terror attacks. Using two
Twitter datasets covering each attack, we investigate how Western and Arab
media differed in coverage bias, sympathy bias, and resulting information
propagation. We crowdsourced sympathy and sentiment labels for 2,390 tweets
across four languages (English, Arabic, French, German), built a regression
model to characterize sympathy, and thereafter trained a deep convolutional
neural network to predict sympathy. Key findings show: (a) both events were
disproportionately covered (b) Western media exhibited less sympathy, where
each media coverage was more sympathetic towards the country affected in their
respective region (c) Sympathy predictions supported ground truth analysis that
Western media was less sympathetic than Arab media (d) Sympathetic tweets do
not spread any further. We discuss our results in light of global news flow,
Twitter affordances, and public perception impact.Comment: In Proc. CHI 2018 Papers program. Please cite: El Ali, A., Stratmann,
T., Park, S., Sch\"oning, J., Heuten, W. & Boll, S. (2018). Measuring,
Understanding, and Classifying News Media Sympathy on Twitter after Crisis
Events. In Proceedings of the 2018 CHI Conference on Human Factors in
Computing Systems (CHI '18). ACM, New York, NY, USA. DOI:
https://doi.org/10.1145/3173574.317413
Biallelic hypomorphic variants in CAD cause uridine-responsive macrocytic anaemia with elevated haemoglobin-A2
5 páginas, 2 figurasBiallelic pathogenic variants in CAD, that encode the multienzymatic protein required for de-novo pyrimidine biosynthesis, cause early infantile epileptic encephalopathy-50. This rare disease, characterized by developmental delay, intractable seizures and anaemia, is amenable to treatment with uridine. We present a patient with macrocytic anaemia, elevated haemoglobin-A2 levels, anisocytosis, poikilocytosis and target cells in the blood smear, and mild developmental delay. A next-generation sequencing panel revealed biallelic variants in CAD. Functional studies did not support complete abrogation of protein function; however, the patient responded to uridine supplement. We conclude that biallelic hypomorphic CAD variants may cause a primarily haematological phenotype.This work was supported by grant PID2021-128468NB-I00
financed by Ministerio de Ciencia e Innovación / Agencial
Estatal de Investigación (MCIN/AEI) (https://www.aei.gob.
es/) and by grant CIVP20A6610 from Fundación Ramón
Areces Ciencias de la Vida (XX National Call) (https://www.
fundacionareces.es) to SR-M. FdC-O is a postdoctoral fellow
of the Generalitat Valenciana (Valencian Local Government)
(https://www.gva.es/) (APOSTD 2021).Peer reviewe
Syndromes predisposing to leukemia are a major cause of inherited cytopenias in children
Prolonged cytopenias are a non-specific sign with a wide differential diagnosis. Among inherited disorders, cytopenias predisposing to leukemia require a timely and accurate diagnosis to ensure appropriate medical management, including adequate monitoring and stem cell transplantation prior to the development of leukemia. We aimed to define the types and prevalences of the genetic causes leading to persistent cytopenias in children. The study comprises children with persistent cytopenias, myelodysplastic syndrome, aplastic anemia, or suspected inherited bone marrow failure syndromes, who were referred for genetic evaluation from all pediatric hematology centers in Israel during 2016-2019. For variant detection, we used Sanger sequencing of commonly mutated genes and a custom-made targeted next-generation sequencing panel covering 226 genes known to be mutated in inherited cytopenias; the minority subsequently underwent whole exome sequencing. In total, 189 children with persistent cytopenias underwent a genetic evaluation. Pathogenic and likely pathogenic variants were identified in 59 patients (31.2%), including 47 with leukemia predisposing syndromes. Most of the latter (32, 68.1%) had inherited bone marrow failure syndromes, nine (19.1%) had inherited thrombocytopenia predisposing to leukemia, and three each (6.4%) had predisposition to myelodysplastic syndrome or congenital neutropenia. Twelve patients had cytopenias with no known leukemia predisposition, including nine children with inherited thrombocytopenia and three with congenital neutropenia. In summary, almost one third of 189 children referred with persistent cytopenias had an underlying inherited disorder; 79.7% of whom had a germline predisposition to leukemia. Precise diagnosis of children with cytopenias should direct follow-up and management programs and may positively impact disease outcome
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Mapping Information Flows on Twitter
Social network services like Twitter and Facebook have created an expectation that you interact with your customers, followers and friends. There’s an expectation to connect rather than broadcast, listen and engage in conversations. But how can we expect to interact with our invisible audience when we can’t really see whose there? For the first time in history, there is a plethora of information produced by people’s actions. We can now observe a friend take another’s recommendation to purchase an item, or a powerful stream of clicks to content that we choose to curate. Social media professionals are jumping on the bandwagon and attempting to quantify social interactions by using terms like influence, reach, trust and klout. But even though data is more visible than ever, it is still representative of people’s complex reasoning mechanism, changing relationships, timing and logic. This paper looks at two different ways to analyze and display characteristics of online audiences on Twitter through information flows. By visualizing flows, it is possible to “put a face” to an audience, seeing interactions between interconnected users. By replaying a representation of the series of events, it is possible to note key moments in the act of information dissemination
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