2,011 research outputs found

    Growth Begins from Within: How Internal Transparency Influences Organizational Learning

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    Ample research exists that focuses on organizational learning in the context of program efficiency and outcomes, and organizational transparency in the context of governance and compliance. The purpose of this research is to further explore the relationship between organizational learning culture and the commitment to internal transparency, specifically pertaining to the internal members across multiple levels of an organization. This paper includes a literary review of previous research, an outline for the methodology used for this research, qualitative data analysis of 10 expert interviews, a discussion of the results and findings, and the exploration of present and future implications and recommendations. The resulting themes that emerged from the research include: a disconnected perception between executive leadership and non-managerial members regarding transparency and organizational learning, the inconsistent practice for accountability across multiple organizational levels, and the inconsistent shifts for prioritization that impede stable cultural growth. From these findings, an outline model is adapted for incorporating internal transparency into the development of organizational learning culture

    Automated Storytelling via Causal, Commonsense Plot Ordering

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    Automated story plot generation is the task of generating a coherent sequence of plot events. Causal relations between plot events are believed to increase the perception of story and plot coherence. In this work, we introduce the concept of soft causal relations as causal relations inferred from commonsense reasoning. We demonstrate C2PO, an approach to narrative generation that operationalizes this concept through Causal, Commonsense Plot Ordering. Using human-participant protocols, we evaluate our system against baseline systems with different commonsense reasoning reasoning and inductive biases to determine the role of soft causal relations in perceived story quality. Through these studies we also probe the interplay of how changes in commonsense norms across storytelling genres affect perceptions of story quality.Comment: AAAI-21 Camera Ready Versio

    Bringing Stories Alive: Generating Interactive Fiction Worlds

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    World building forms the foundation of any task that requires narrative intelligence. In this work, we focus on procedurally generating interactive fiction worlds---text-based worlds that players "see" and "talk to" using natural language. Generating these worlds requires referencing everyday and thematic commonsense priors in addition to being semantically consistent, interesting, and coherent throughout. Using existing story plots as inspiration, we present a method that first extracts a partial knowledge graph encoding basic information regarding world structure such as locations and objects. This knowledge graph is then automatically completed utilizing thematic knowledge and used to guide a neural language generation model that fleshes out the rest of the world. We perform human participant-based evaluations, testing our neural model's ability to extract and fill-in a knowledge graph and to generate language conditioned on it against rule-based and human-made baselines. Our code is available at https://github.com/rajammanabrolu/WorldGeneration

    The Politics of the Debate over the Court of Final Appeal in Hong Kong

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    Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

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    Variances in ad impression outcomes across demographic groups are increasingly considered to be potentially indicative of algorithmic bias in personalized ads systems. While there are many definitions of fairness that could be applicable in the context of personalized systems, we present a framework which we call the Variance Reduction System (VRS) for achieving more equitable outcomes in Meta's ads systems. VRS seeks to achieve a distribution of impressions with respect to selected protected class (PC) attributes that more closely aligns the demographics of an ad's eligible audience (a function of advertiser targeting criteria) with the audience who sees that ad, in a privacy-preserving manner. We first define metrics to quantify fairness gaps in terms of ad impression variances with respect to PC attributes including gender and estimated race. We then present the VRS for re-ranking ads in an impression variance-aware manner. We evaluate VRS via extensive simulations over different parameter choices and study the effect of the VRS on the chosen fairness metric. We finally present online A/B testing results from applying VRS to Meta's ads systems, concluding with a discussion of future work. We have deployed the VRS to all users in the US for housing ads, resulting in significant improvement in our fairness metric. VRS is the first large-scale deployed framework for pursuing fairness for multiple PC attributes in online advertising.Comment: 11 pages, 7 figure, KDD 202

    Genomic and serologic characterization of enterovirus A71 brainstem encephalitis

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    OBJECTIVE: In 2016, Catalonia experienced a pediatric brainstem encephalitis outbreak caused by enterovirus A71 (EV-A71). Conventional testing identified EV in the periphery but rarely in CSF. Metagenomic next-generation sequencing (mNGS) and CSF pan-viral serology (VirScan) were deployed to enhance viral detection and characterization. METHODS: RNA was extracted from the CSF (n = 20), plasma (n = 9), stool (n = 15), and nasopharyngeal samples (n = 16) from 10 children with brainstem encephalitis and 10 children with meningitis or encephalitis. Pathogens were identified using mNGS. Available CSF from cases (n = 12) and pediatric other neurologic disease controls (n = 54) were analyzed with VirScan with a subset (n = 9 and n = 50) validated by ELISA. RESULTS: mNGS detected EV in all samples positive by quantitative reverse transcription polymerase chain reaction (qRT-PCR) (n = 25). In qRT-PCR-negative samples (n = 35), mNGS found virus in 23% (n = 8, 3 CSF samples). Overall, mNGS enhanced EV detection from 42% (25/60) to 57% (33/60) (p-value = 0.013). VirScan and ELISA increased detection to 92% (11/12) compared with 46% (4/12) for CSF mNGS and qRT-PCR (p-value = 0.023). Phylogenetic analysis confirmed the EV-A71 strain clustered with a neurovirulent German EV-A71. A single amino acid substitution (S241P) in the EVA71 VP1 protein was exclusive to the CNS in one subject. CONCLUSION: mNGS with VirScan significantly increased the CNS detection of EVs relative to qRT-PCR, and the latter generated an antigenic profile of the acute EV-A71 immune response. Genomic analysis confirmed the close relation of the outbreak EV-A71 and neuroinvasive German EV-A71. A S241P substitution in VP1 was found exclusively in the CSF.Grants supporting this project include the National Multiple Sclerosis Society and the American Academy of Neurology award FAN-1608-25607 (R.D.S.), Clinical Research Training Scholarship P0534134 (P.S.R.), Sandler and William K. Bowes Jr Foundations (M.R.W., J.L.D., L.M.K., H.A.S., K.C.Z.), Rachleff Family Foundation (M.R.W.), and NINDS of the NIH under award K08NS096117 (M.R.W.) and F31NS113432 (K.E.L.). This study was partially supported by a grant from the Spanish National Health Institute [grant number PI15CIII-00020] and the European Regional Development Fund (FEDER funds). UCSF Biomedical Sciences Program (I.A.H., K.E.L.), UCSF Medical Scientist Training Program (K.E.L.), and the Chan Zuckerberg Biohub (J.E.P., W.W., C.K.C., J.L.D., E.D.C.) also supported this project.S

    A Narrative Review of Motor Competence in Children and Adolescents: What We Know and What We Need to Find Out

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    Lack of physical activity is a global public health problem causing not only morbidity and premature mortality, but it is also a major economic burden worldwide. One of the cornerstones of a physically active lifestyle is Motor Competence (MC). MC is a complex biocultural attribute and therefore, its study requires a multi-sectoral, multi-, inter- and transdisciplinary approach. MC is a growing area of research, especially in children and adolescents due to its positive association with a plethora of health and developmental outcomes. Many questions, however, remain to be answered in this field of research, with regard to: (i) Health and Developmental-related Associations of MC; (ii) Assessment of MC; (iii) Prevalence and Trends of MC; (iv) Correlates and Determinants of MC; (v) MC Interventions, and (vi) Translating MC Research into Practice and Policy. This paper presents a narrative review of the literature, summarizing current knowledge, identifying key research gaps and presenting questions for future investigation on MC in children and adolescents. This is a collaborative effort from the International Motor Competence Network (IMCNetwork) a network of academics and researchers aiming to promote international collaborative research and knowledge translation in the expansive field of MC. The knowledge and deliverables generated by addressing and answering the aforementioned research questions on MC presented in this review have the potential to shape the ways in which researchers and practitioners promote MC and physical activity in children and adolescents across the worl
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