scholarly journals Mix it and fix it: functions of composite olfactory signals in ring-tailed lemurs

2016 ◽  
Vol 3 (4) ◽  
pp. 160076 ◽  
Author(s):  
Lydia K. Greene ◽  
Kathleen E. Grogan ◽  
Kendra N. Smyth ◽  
Christine A. Adams ◽  
Skylar A. Klager ◽  
...  
Keyword(s):  
Information Content ◽  
Adult Male ◽  
Scent Marking ◽  
Lemur Catta ◽  
Chemical Signals ◽  
Unique Contribution ◽  
Multiple Sources ◽  
Multiple Messages ◽  
Over Time

Animals communicating via scent often deposit composite signals that incorporate odorants from multiple sources; however, the function of mixing chemical signals remains understudied. We tested both a ‘multiple-messages’ and a ‘fixative’ hypothesis of composite olfactory signalling, which, respectively, posit that mixing scents functions to increase information content or prolong signal longevity. Our subjects—adult, male ring-tailed lemurs ( Lemur catta )—have a complex scent-marking repertoire, involving volatile antebrachial (A) secretions, deposited pure or after being mixed with a squalene-rich paste exuded from brachial (B) glands. Using behavioural bioassays, we examined recipient responses to odorants collected from conspecific strangers. We concurrently presented pure A, pure B and mixed A + B secretions, in fresh or decayed conditions. Lemurs preferentially responded to mixed over pure secretions, their interest increasing and shifting over time, from sniffing and countermarking fresh mixtures, to licking and countermarking decayed mixtures. Substituting synthetic squalene (S)—a well-known fixative—for B secretions did not replicate prior results: B secretions, which contain additional chemicals that probably encode salient information, were preferred over pure S. Whereas support for the ‘multiple-messages’ hypothesis underscores the unique contribution from each of an animal's various secretions, support for the ‘fixative’ hypothesis highlights the synergistic benefits of composite signals.

scholarly journals In-work Universal Credit: Claimant Experiences of Conditionality Mismatches and Counterproductive Benefit Sanctions

2020 ◽  
pp. 1-19
Author(s):  
SHARON WRIGHT ◽  
PETER DWYER
Keyword(s):  
Social Security ◽  
Job Search ◽  
Longitudinal Research ◽  
Working Hours ◽  
Unique Contribution ◽  
Working Age ◽  
Micro Level ◽  
Benefit Sanctions ◽  
The Uk ◽  
Over Time

Abstract Universal Credit is the UK’s globally innovative social security reform that replaces six means tested benefits with one monthly payment for working age claimants - combining social security and tax credit systems. Universal Credit expands welfare conditionality via mandatory job search conditions to enhance ‘progression’ amongst working claimants by requiring extra working hours or multiple jobs. This exposes low paid workers to tough benefit sanctions for non-compliance, which could remove essential income indefinitely or for fixed periods of up to three years. Our unique contribution is to establish how this new regime is experienced at micro level by in-work claimants over time. We present findings from Qualitative Longitudinal Research (141 interviews with 58 claimants, 2014-17), to demonstrate how UC impacts on in-work recipients and how conditionality produces a new coerced worker-claimant model of social support. We identify a series of welfare conditionality mismatches and conclude that conditionality for in-work claimants is largely counterproductive. This implies a redesign of the UK system and serves as an international warning to potential policy emulators.

Automated Text Simplification

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Suha S. Al-Thanyyan ◽  
Aqil M. Azmi
Keyword(s):  
Reading Comprehension ◽  
Information Content ◽  
Evaluation Methods ◽  
Extensive Study ◽  
Low Literacy ◽  
Essential Tool ◽  
Text Simplification ◽  
Over Time ◽  
Original Information ◽  
Research Studies

Text simplification (TS) reduces the complexity of the text to improve its readability and understandability, while possibly retaining its original information content. Over time, TS has become an essential tool in helping those with low literacy levels, non-native learners, and those struggling with various types of reading comprehension problems. In addition, it is used in a preprocessing stage to enhance other NLP tasks. This survey presents an extensive study of current research studies in the field of TS, as well as covering resources, corpora, and evaluation methods that have been used in those studies.

scholarly journals Three months of informational trends in COVID-19 across New York City

2020 ◽  
Vol 42 (3) ◽  
pp. 448-450
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Adam Gonzalez ◽  
Rebecca M Schwartz ◽  
Emanuela Taioli
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Information Seeking ◽  
New York State ◽  
Search Term ◽  
Multiple Sources ◽  
The Usa ◽  
Trend Data ◽  
Over Time

Abstract In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term ‘Coronavirus’ and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the ‘interest over time’ of the search term ‘Coronavirus’ has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC.

scholarly journals Multimorbidity of chronic non-communicable diseases: burden, care provision and outcomes over time among patients attending chronic outpatient medical care in Bahir Dar, Ethiopia—a mixed methods study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e051107 ◽  
Author(s):  
Fantu Abebe Eyowas ◽  
Marguerite Schneider ◽  
Shitaye Alemu ◽  
Fentie Ambaw Getahun
Keyword(s):  
Quantitative Study ◽  
Qualitative Data ◽  
Premature Mortality ◽  
Evidence Base ◽  
Communicable Diseases ◽  
Bahir Dar ◽  
Multiple Sources ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Over Time

IntroductionMultimorbidity refers to the presence of two or more chronic non-communicable diseases (NCDs) in a given individual. It is associated with premature mortality, lower quality of life (QoL) and greater use of healthcare resources. The burden of multimorbidity could be huge in the low and middle-income countries (LMICs), including Ethiopia. However, there is limited evidence on the magnitude of multimorbidity, associated risk factors and its effect on QoL and functionality. In addition, the evidence base on the way health systems are organised to manage patients with multimorbidity is sparse. The knowledge gleaned from this study could have a timely and significant impact on the prevention, management and survival of patients with NCD multimorbidity in Ethiopia and in LMICs at large.Methods and analysisThis study has three phases: (1) a cross-sectional quantitative study to determine the magnitude of NCD multimorbidity and its effect on QoL and functionality, (2) a qualitative study to explore organisation of care for patients with multimorbidity, and (3) a longitudinal quantitative study to investigate disease progression and patient outcomes over time. A total of 1440 patients (≥40 years) on chronic care follow-up will be enrolled from different facilities for the quantitative studies. The quantitative data will be collected from multiple sources using the KoBo Toolbox software and analysed by STATA V.16. Multiple case study designs will be employed to collect the qualitative data. The qualitative data will be coded and analysed by Open Code software thematically.Ethics and disseminationEthical clearance has been obtained from the College of Medicine and Health Sciences, Bahir Dar University (protocol number 003/2021). Subjects who provide written consent will be recruited in the study. Confidentiality of data will be strictly maintained. Findings will be disseminated through publications in peer-reviewed journals and conference presentations.

Inter-Imperial Relations, the Pacific, and Asian American History

2012 ◽  
Vol 83 (2) ◽  
pp. 238-254 ◽  
Author(s):  
Augusto Espiritu
Keyword(s):  
Asian American ◽  
The United States ◽  
The Political ◽  
Multiple Sources ◽  
Asian America ◽  
American Experience ◽  
Political Dynamics ◽  
Asian American History ◽  
The Pacific ◽  
Over Time

Despite the turn toward diasporic, transnational, global, and comparative perspectives, this article argues that historians of Asian America have largely neglected and need to reflect upon inter-imperial relations—the relations of cooperation, competition, and conflict between empires, including subaltern attempts at creating spaces for maneuver and agency between them. With a focus on the development of the United States as an empire, this article identifies the key inter-imperial relations over time that have shaped the Asian American experience. An awareness of inter-imperial relations helps scholars to account for the political dynamics, the multiple sources of power, and the challenges to existing hegemonies that have structured Asian American lives. An approach sensitive to inter-imperial relations opens up the possibility of recognizing, and comparing, the simultaneous subaltern struggles that cut across nations and immigrant groups.

A CONNECTIONIST ABM OF SOCIAL CATEGORIZATION PROCESSES

2012 ◽  
Vol 15 (06) ◽  
pp. 1250077 ◽  
Author(s):  
DIRK VAN ROOY
Keyword(s):  
Social Influence ◽  
Network Structure ◽  
Social Adaptation ◽  
Multiple Sources ◽  
Agent Based ◽  
Individual Level ◽  
Extensive Research Program ◽  
Micro Level ◽  
The Individual ◽  
Over Time

This paper introduces a connectionist Agent-Based Model (cABM) that incorporates detailed, micro-level understanding of social influence processes derived from laboratory studies and that aims to contextualize these processes in such a way that it becomes possible to model multidirectional, dynamic influences in extended social networks. At the micro-level, agent processes are simulated by recurrent auto-associative networks, an architecture that has a proven ability to simulate a variety of individual psychological and memory processes [D. Van Rooy, F. Van Overwalle, T. Vanhoomissen, C. Labiouse and R. French, Psychol. Rev. 110, 536 (2003)]. At the macro-level, these individual networks are combined into a "community of networks" so that they can exchange their individual information with each other by transmitting information on the same concepts from one net to another. This essentially creates a network structure that reflects a social system in which (a collection of) nodes represent individual agents and the links between agents the mutual social influences that connect them [B. Hazlehurst, and E. Hutchins, Lang. Cogn. Process. 13, 373 (1998)]. The network structure itself is dynamic and shaped by the interactions between the individual agents through simple processes of social adaptation. Through simulations, the cABM generates a number of novel predictions that broadly address three main issues: (1) the consequences of the interaction between multiple sources and targets of social influence (2) the dynamic development of social influence over time and (3) collective and individual opinion trajectories over time. Some of the predictions regarding individual level processes have been tested and confirmed in laboratory experiments. In a extensive research program, data is currently being collected from real groups that will allow validating the predictions of cABM regarding aggregate outcomes.

Chalk, Seeds, and Entropy in the NCAA Men's Basketball Tournament

2016 ◽  
Vol 10 (3) ◽  
pp. 1-12 ◽  
Author(s):  
Ira Horowitz
Keyword(s):  
Information Content ◽  
Men's Basketball ◽  
Over Time

ABSTRACT            Based on the results of the 63 games played in each of the 32 NCAA Men’s Basketball Tournaments held from 1985 through 2016 it is shown that the information content of the seeding of the 64 teams invited to participate as to the seed of the eventual winner, varies from year to year, but not in any consistent fashion. The paper thus concludes that the Selection Committee’s seeding process has not improved over time, notwithstanding the availability of more sophisticated metrics for evaluating the teams’ regular-season performance. The fact that a 1-seed wins some 60 percent of the time and a top-three-seed wins 88 percent of the time only reflects the fact that the committee is not seeding the teams at random, but rather is exercising a modicum of judgment, aided and abetted by the tournament’s design. 

scholarly journals RESEARCH ON THE TRANSFORMATION OF HISTORIC PATTERNS OF CULTURAL LANDSCAPE USING AERIAL PHOTOGRAMMETRY AND GEO-DATABASE: A CASE STUDY OF KULIANG IN FUZHOU, CHINA

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 409-414
Author(s):  
Y.-N. Lin ◽  
C. Yang ◽  
Y.-H. Ye ◽  
Z.-R. Zhang
Keyword(s):  
Cultural Landscape ◽  
Cultural Landscapes ◽  
Site Investigation ◽  
Landscape Patterns ◽  
Multiple Sources ◽  
Aerial Photogrammetry ◽  
Landscape Heritage ◽  
Over Time ◽  
Geo Database

Abstract. Cultural landscapes are the result of the interactions between cultural and natural features over time. Historic research and site investigation are two conventional methods for identifying the transformation of cultural landscapes. Over the past few decades, with the massive development of computer and internet, technologies such as aerial photogrammetry, GPS and GIS provide new approaches for the study of landscape transformation. The aim of this research is to investigate and present the transformation of a cultural landscape using aerial photogrammetry and geo-database. Kuliang in Fuzhou, a former foreigners’ summer resort established by missionaries in 1886, was used as an instrumental case study. This research has identified historical mountain trails by superimposing historical maps and GPS-recorded tracks. Historic sites were found through a comparison of historical photos and low-altitude drone images. Drone-based orthophotos of the sites provide significant evidence for the restoration of the historical buildings. Furthermore, based on the integration of multiple sources of data in a geo-database, this research reveals Kuliang’s landscape patterns and their transformation over time. The conclusion shows that the use of aerial photogrammetry and geo-database can effectively integrate fragmented cultural landscape information, and identify the transformation of cultural landscape patterns, thereby providing significant references for landscape heritage restoration and sustainable development.

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