bluuebunny/crossref_metadata_2025_split huggingface dataset:
CTE Teacher Licensure and Long-Term Student Outcomes
Authors: Chen Bingjie , Dougherty Shaun , Goldhaber Dan , Holden Kristian , Theobald Roddy 
Published: August 2021

AbstractWe use longitudinal data from Massachusetts that link high school course-taking records in career and technical education (CTE) to postsecondary student outcomes to provide the first empirical evidence linking characteristics of CTE teachers to later student outcomes. We find that CTE teachers who received better scores on subject performance tests required for licensure tend to have students with higher longer-term earnings than CTE teachers who received lower scores on these tests, controlling for other factors. Specifically, we estimate that a 1 standard deviation increase in teacher performance on these tests is associated with about a $1,000 increase in average expected earnings for the teacher's students five years after their expected graduation date, controlling for licensure test area and observable differences between students.
Neural Oscillations Reflect Meaning Identification for Novel Words in Context
Authors: Momsen Jacob Pohaku , Abel Alyson D. 
Published: August 2021

Abstract
During language processing, people make rapid use of contextual information to promote comprehension of upcoming words. When new words are learned implicitly, information contained in the surrounding context can provide constraints on their possible meaning. In the current study, EEG was recorded as participants listened to a series of three sentences, each containing an identical target pseudoword, with the aim of using contextual information in the surrounding language to identify a meaning representation for the novel word. In half of the trials, sentences were semantically coherent so that participants could develop a single representation for the novel word that fit all contexts. Other trials contained unrelated sentence contexts so that meaning associations were not possible. We observed greater theta band enhancement over the left hemisphere across central and posterior electrodes in response to pseudowords processed across semantically related compared to unrelated contexts. Additionally, relative alpha and beta band suppression was increased prior to pseudoword onset in trials where contextual information more readily promoted pseudoword meaning associations. Under the hypothesis that theta enhancement indexes processing demands during lexical access, the current study provides evidence for selective online memory retrieval for novel words learned implicitly in a spoken context.
Why Decision-making Capacity Matters
Authors: Schwan Ben 
Published: August 2021

Abstract
Decision-making Capacity (dmc) matters to whether a patient’s decision should determine her treatment. But why it matters in this way isn’t clear. The standard story is that dmc matters because autonomy matters. And this is thought to justify dmc as a gatekeeper for autonomy – whereby autonomy concerns arise if but only if a patient has dmc. But appeals to autonomy invoke two distinct concerns: concern for authenticity – concern that a choice is consistent with an individual’s commitments; and concern for sovereignty – concern that an individual exercises control over that which is hers to control. Here, I argue, neither concern can alone explain why dmc matters. Instead, dmc matters because it indicates a harmony between the two concerns – the demands of each concern are more likely to agree if a patient has dmc. This vindicates the standard story, but also makes clear that dmc is an inappropriate gatekeeper for autonomy.
Users’ Cognitive Load: A Key Aspect to Successfully Communicate Visual Climate Information
Authors: Calvo Luz , Christel Isadora , Terrado Marta , Cucchietti Fernando , Pérez-Montoro Mario 
Published: August 2021

Abstract
The visual communication of climate information is one of the cornerstones of climate services. It often requires the translation of multidimensional data to visual channels by combining colors, distances, angles, and glyph sizes. However, visualizations including too many layers of complexity can hinder decision-making processes by limiting the cognitive capacity of users, therefore affecting their attention, recognition, and working memory. Methodologies grounded on the fields of user-centered design, user interaction, and cognitive psychology, which are based on the needs of the users, have a lot to contribute to the climate data visualization field. Here, we apply these methodologies to the redesign of an existing climate service tool tailored to the wind energy sector. We quantify the effect of the redesign on the users’ experience performing typical daily tasks, using both quantitative and qualitative indicators that include response time, success ratios, eye-tracking measures, user perceived effort, and comments, among others. Changes in the visual encoding of uncertainty and the use of interactive elements in the redesigned tool reduced the users’ response time by half, significantly improved success ratios, and eased decision-making by filtering nonrelevant information. Our results show that the application of user-centered design, interaction, and cognitive aspects to the design of climate information visualizations reduces the cognitive load of users during tasks performance, thus improving user experience. These aspects are key to successfully communicating climate information in a clearer and more accessible way, making it more understandable for both technical and nontechnical audiences.
Sources and Transport Pathways of Precipitating Waters in Cold-Season Deep North Atlantic Cyclones
Authors: Papritz Lukas , Aemisegger Franziska , Wernli Heini 
Published: August 2021

AbstractExtratropical cyclones are responsible for a large share of precipitation at midlatitudes and they profoundly impact the characteristics of the water cycle. In this study, we use the ERA5 and a cyclone tracking scheme combined with a Lagrangian diagnostic to identify the sources of moisture precipitating close to the center of 676 deep North Atlantic cyclones in winters 1979–2018. Moisture uptakes occur predominantly in originally cold and dry air heated over the North Atlantic, in particular, over the warm waters of the Gulf Stream, whereas more remote sources from land or the subtropics are less important. Analyzing the dynamical environment of moisture uptakes, we find that moisture precipitating during the cyclone intensification phase originates in the precyclone environment in the cold sectors of preceding cyclones and the cyclone–anticyclone interaction zone. These moisture uptakes are linked to the cyclone’s ascent regions via the so-called feeder airstream, a northeasterly cyclone-relative flow that arises due to the cyclone propagation exceeding the advection by the low-level background flow. During the decay phase, more and more of the moisture originates in the cyclone’s own cold sector. Consequently, the residence time of precipitating waters in cyclones is short (median of ≈2 days) and transport distances are typically less than the distance traveled by the cyclone itself. These findings emphasize the importance of preconditioning by surface fluxes in the precyclone environment for the formation of precipitation in cyclones and suggest an important role for the hand-over of moisture from one cyclone to the next within a storm track.
Dependence of global monsoon response to volcanic eruptions on the background oceanic states
Authors: Zuo Meng , Man Wenmin , Zhou Tianjun 
Published: August 2021

AbstractBoth proxy data and climate modeling show divergent responses of global monsoon precipitation to volcanic eruptions. The reason is however unknown. Here, based on analysis of the CESM Last Millennium Ensemble simulation, we show evidences that the divergent responses are dominated by the pre-eruption background oceanic states. We found that under El Niño-Southern Oscillation (ENSO) neutral and warm phases initial conditions, the Pacific favors an El Niño-like anomaly after volcanic eruptions, while La Niña-like SST anomalies tend to occur following eruptions under ENSO cold phase initial condition, especially after southern eruptions. The cold initial condition is associated with stronger upper ocean temperature stratification and shallower thermocline over the eastern Pacific than normal. The easterly anomalies triggered by surface cooling over the tropical South America continent can generate changes in SST through anomalous advection and the ocean subsurface upwelling more efficiently, causing La Niña-like SST anomalies. Whereas under warm initial condition, the easterly anomalies fail to develop and the westerly anomalies still play a dominant role, thus forms an El Niño-like SST anomaly. Such SST response further regulates the monsoon precipitation changes through atmospheric teleconnection. The contribution of direct radiative forcing and indirect SST response to precipitation changes show regional differences, which will further affect the intensity and sign of precipitation response in submonsoon regions. Our results imply that attention should be paid to the background oceanic state when predicting the global monsoon precipitation responses to volcanic eruptions.
Flipping the Classroom: An Evaluation of Teaching and Learning Strategies in the Operating Room
Authors: Johnson Jared , Misch Emily , Chung Michael T. , Hotaling Jeffrey , Folbe Adam , Svider Peter F. , Cabrera-Muffly Cristina , Johnson Andrew P. 
Published: August 2021

Objectives: With increasing restraints on resident’s experiences in the operating room, with causes ranging from decreased time available to increasing operating room costs, focus has been placed on how to improve resident’s education. The objectives of our study are to (1) determine barriers in education in the operating room, (2) identify effective learning and teaching strategies for residents in the operating room with a focus on the tonsillectomy procedure. Methods: An online survey was sent to all otolaryngology residents and residency programs for which contact information was available from January 2016 to March 2016 with 139 respondents. The 12-question survey focused on information regarding limitations to learning how to perform tonsillectomies as well as difficulties with teaching the same procedure. Resident responses were separated based on PGY level, and analysis was performed using t-tests and Chi squared analysis. Results: Common themes emerged from responses for both teaching and learning how to perform tonsillectomies. A significant limitation in learning the procedure was lack of visualization during the surgery (57% learning vs 60% teaching). For both learners and teachers, the monopolar cautery instrument was found to be the most preferred instrument to use during tonsillectomy (80% each). The majority of resident respondents (93%) felt that an instructional video would be beneficial for both learning and teaching the procedure. Conclusions: Significant limitations for learning and teaching in the operating room were identified for performing tonsillectomies. Future endeavors will focus on resolving these limitations to improve surgical education. Evidence level: Level IV.
Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction
Authors: He Dengbo , DeGuzman Chelsea A. , Donmez Birsen 
Published: August 2021

Objective To understand the influence of driving experience and distraction on drivers’ anticipation of upcoming traffic events in automated vehicles. Background In nonautomated vehicles, experienced drivers spend more time looking at cues that indicate upcoming traffic events compared with novices, and distracted drivers spend less time looking at these cues compared with nondistracted drivers. Further, pre-event actions (i.e., proactive control actions prior to traffic events) are more prevalent among experienced drivers and nondistracted drivers. However, there is a research gap on the combined effects of experience and distraction on driver anticipation in automated vehicles. Methods A simulator experiment was conducted with 16 experienced and 16 novice drivers in a vehicle equipped with adaptive cruise control and lane-keeping assist systems (resulting in SAE Level 2 driving automation). Half of the participants in each experience group were provided with a self-paced primarily visual-manual secondary task. Results Drivers with the task spent less time looking at cues and were less likely to perform anticipatory driving behaviors (i.e., pre-event actions or preparation for pre-event actions such as hovering fingers over the automation disengage button). Experienced drivers exhibited more anticipatory driving behaviors, but their attention toward the cues was similar to novices for both task conditions. Conclusion In line with nonautomated vehicle research, in automated vehicles, secondary task engagement impedes anticipation while driving experience facilitates anticipation. Application Though Level 2 automation can relieve drivers of manually controlling the vehicle and allow engagement in distractions, visual-manual distraction engagement can impede anticipatory driving and should be restricted.
Near-Perfect Automation: Investigating Performance, Trust, and Visual Attention Allocation
Authors: Foroughi Cyrus K. , Devlin Shannon , Pak Richard , Brown Noelle L. , Sibley Ciara , Coyne Joseph T. 
Published: August 2021

Objective Assess performance, trust, and visual attention during the monitoring of a near-perfect automated system. Background Research rarely attempts to assess performance, trust, and visual attention in near-perfect automated systems even though they will be relied on in high-stakes environments. Methods Seventy-three participants completed a 40-min supervisory control task where they monitored three search feeds. All search feeds were 100% reliable with the exception of two automation failures: one miss and one false alarm. Eye-tracking and subjective trust data were collected. Results Thirty-four percent of participants correctly identified the automation miss, and 67% correctly identified the automation false alarm. Subjective trust increased when participants did not detect the automation failures and decreased when they did. Participants who detected the false alarm had a more complex scan pattern in the 2 min centered around the automation failure compared with those who did not. Additionally, those who detected the failures had longer dwell times in and transitioned to the center sensor feed significantly more often. Conclusion Not only does this work highlight the limitations of the human when monitoring near-perfect automated systems, it begins to quantify the subjective experience and attentional cost of the human. It further emphasizes the need to (1) reevaluate the role of the operator in future high-stakes environments and (2) understand the human on an individual level and actively design for the given individual when working with near-perfect automated systems. Application Multiple operator-level measures should be collected in real-time in order to monitor an operator’s state and leverage real-time, individualized assistance.
How Do Violinists Adapt to Dynamic Assistive Support? A Study Focusing on Kinematics, Muscle Activity, and Musical Performance
Authors: Ziane Clara , Michaud Benjamin , Begon Mickaël , Dal Maso Fabien 
Published: August 2021

Objective Assessing violinists’ motor and musical performance adaptations to dynamic assistive support (DAS) provided by a passive device, using a force-field adaptation paradigm. Background Up to 93% of instrumentalists are affected by musculoskeletal injuries and particularly violinists. The repetitive nature of their work may lead to muscle fatigue, an injury risk factor. DAS has been used in occupational settings to minimize muscle activations and limit fatigue accumulation. DAS may however affect motor and musical performance. Method Fifteen expert violinists were equipped with reflective markers and surface and intramuscular electromyography (EMG) sensors. Movements, muscle activations, and sound were recorded while participants completed three experimental conditions for which they continuously played a 13-s musical excerpt: Control (no DAS), Adaptation (DAS), and Washout (no DAS). DAS was applied at the left elbow (violin-holding side). Conditions were repeated 1 week later. Participants later listened to their own audio recordings playing with and without DAS and blindly assessed their performances. Linear mixed models were used to compare DAS and no-DAS conditions’ kinematic, EMG, and musical performance data. Results DAS perturbed user kinematics but reduced mean activations of left medial deltoid and superior trapezius. Joint kinematic and muscle activation patterns between DAS and no DAS conditions however remained similar. Musical performance was unchanged with DAS. Conclusion Though DAS modified violinists’ upper-limb configurations, resulting kinematics were not detrimental to musical performance. Reduced muscle activations with DAS could contribute to lessening muscle fatigue. Application Although its effect on muscle fatigue should be further investigated, DAS might be useful in preventing violinists’ injuries.
Managing depression in India: Opportunities for a targeted smartphone app
Authors: Ramnath Swati , Suri Gaurav 
Published: August 2021

Background: More than forty million people suffer from depression in India. A lack of awareness, stigma related to mental health issues, and limited accessibility to treatment services magnify the profound personal and societal impact of depression. Given the rise of smartphones in India, mobile technology can help alleviate some of these depression-related challenges. Aims and method: The aim of this paper is to investigate the essential features of an India targeted depression smartphone app. We conducted an online survey to profile the needs of individuals with depression in India, which varied based on variables such as socioeconomic background, age, level of awareness toward depression, and the extent of exposure to mental health stigma. We also conducted a systematic evaluation of depression apps currently available to Indian users to investigate the user needs that these apps met and the needs that they failed to meet. Based on our findings, we made a set of recommendations related to the essential features of a future app targeted at managing depression in India. Results: Presently available depression apps fall short in providing some significant features such as local language options, content in audio and video formats, and user location matched resources. These gaps make these apps less than fully relevant to a diverse set of Indian users. Conclusions: It is essential to provide depression-related information in a targeted manner depending upon each user’s particular needs and context. Potential customizations, such as offering content in local languages and flexible formats (e.g. audio, video, and text); and providing user-relevant diagnostic tools and location matched treatment resources can help improve the suitability of the app for diverse users.
Insight and equality: A systematic review and meta-analysis of socio-demographic associations
Authors: Ariyo Kevin , Ruck Keene Alex , David Anthony S , Owen Gareth S 
Published: August 2021

Background: Insight into illness is often used in clinical and legal contexts, for example, as evidence of decision-making capacity. However, it is unclear whether this disadvantages certain groups protected under equality legislation. To our knowledge, this question has yet to be addressed systematically. Therefore, the present study reviews empirical studies that look at the relationship between insight and sociodemographic variables. Methods: A systematic search of six bibliographic databases (CENTRAL, CINAHL, Cochrane Library of Systematic Reviews, EMBASE, MEDLINE and PsycINFO) was conducted, which yielded 6,192 results. Study characteristics and outcomes (associations between insight and socio-demographic variables) were then extracted from 207 eligible studies. This included protected characteristics under the Equality Act (2010): age, sex, ethnicity, marital status and religion. Weighted confidence estimates were calculated and relevant moderators included in a random effects meta-analysis. A study protocol was registered prospectively on PROSPERO, ID: CRD42019120117. Results: Insight was not strongly associated with any sociodemographic variable. Better insight was weakly but significantly associated with white ethnicity, being employed, younger age and more years of education. The age associations were mostly explained by relevant moderating variables. For people with schizophrenia, the associations between sociodemographic variables and insight were comparable to associations with decision making capacity. Conclusions: Our results suggest that insight is not strongly associated with any sociodemographic variables. Further research is needed to clarify potential associations, particularly with non-white ethnicity and proxies for social support.
Digitization and urban governance: The city as a reflection of its data infrastructure
Authors: Bayat Ali , Kawalek Peter 
Published: August 2021

This article introduces the ‘House Model’, an integrated framework consisting of four data governance modes, based on the urban and smart city vision, context, and big data technologies. The model stems from engaged scholarship, synthesizing and extending the academic debates and evidence from existing smart city initiatives. It provides a means for comparing cities in terms of their digitization efforts, helps the planning of more effective urban data infrastructures and guides future empirical research in this area. The article contributes to the literature examining the issue of big data and its governance in local government and smart cities. Points for practitioners Data is a vital part of smart city initiatives. Where the data comes from, who owns it and how it is used are all important questions. Data governance is therefore important and has consequences for the overall governance of the city. The House Model presented in this article provides a means for organizing data governance. It relates questions of data governance to the history and vision of smart city initiatives, and provides a typology organizing these initiatives.