cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4897167
title: Dataset of "TWIST1 expression is associated with high-risk Neuroblastoma and promotes Primary and Metastatic Tumor Growth"

description: The embryonic transcription factors TWIST1/2 are frequently overexpressed in cancer, acting as multifunctional oncogenes. Here we investigate their role in neuroblastoma (NB), a heterogeneous childhood malignancy ranging from spontaneous regression to dismal outcomes despite multimodal therapy. We first reveal the association of TWIST1 expression with poor survival and metastasis in primary NB, while TWIST2 correlates with good prognosis. Secondly, suppression of TWIST1 by CRISPR/Cas9 results in a reduction of tumor growth and metastasis in immunocompromised mice. Moreover, TWIST1 knock-out tumors displays a less aggressive cellular morphology and a reduced disruption of the extracellular matrix (ECM) reticulin network. Additionally, we identify a TWIST1-mediated transcriptional program associated with dismal outcome in NB and involved in the control of pathways mainly linked to the signaling, migration, adhesion, the organization of the ECM, and the tumor cells versus tumor stroma crosstalk. Taken together, our findings identified TWIST1 as novel therapeutic target in NB.
description: This work was supported by grants from Kinderkrebsforschung Schweiz, the Novartis Foundation for Medical-Biological Research, the Hubert Gouin Association, and the FORCE foundation.
DOI: 10.48366/r114155
title: Overview of Crowd Intelligence in Requirements Engineering

description: This overview shows how different approaches currently incorporate crowd intelligence into requirements engineering activities. Among other things, we highlight the corresponding requirements engineering activities with details on how and for what crowd intelligence is used in them, as well as details on various utilities in CrowdRE such as the crowd, the crowdsourced task, incentives for motivation, and channels for feedback elicitation.
DOI: 10.6073/pasta/6bafb71a7e9a81f7d656865a02182351
title: Ecological Impacts of Hurricanes Across the Yucatan Peninsula 1851-2000

description: This study used computer modeling to study the impacts of hurricanes across the Yucatan Peninsula since 1851. For details on methods and results please see the published paper (Boose, E. R., D. R. Foster, A. Barker Plotkin and B. Hall. 2003. Geographical and historical variation in hurricanes across the Yucatan Peninsula. In Lowland Maya Area: Three Millennia at the Human-Wildland Interface. A. Gomez-Pompa, M. F. Allen, S. Fedick and J. J. Jimenez-Osornio, eds. Haworth Press, New York, NY. In press). The Abstract from the paper is reproduced below. "The ecological impacts of hurricanes across the Yucatan Peninsula over the last 150 years were investigated using a simple meteorological model (HURRECON) developed at Harvard Forest as well as a database of historical hurricane data (HURDAT) maintained by the U. S. National Hurricane Center. All hurricanes over the period 1851-2000 with sustained winds of hurricane force (33 meters/sec) within 300 kilometers of the study region were analyzed (n = 105). Each storm was reconstructed to produce estimates of wind damage on the Fujita scale across the region. Individual reconstructions were then compiled to study cumulative impacts of all 105 storms. "Results showed considerable variation in hurricane activity from year to year, and from decade to decade, while at the half-century scale there was an increase in hurricane intensity since the mid-nineteenth century. Ninety percent of the hurricanes causing F1 damage or higher (on the Fujita scale) occurred in the months of August, September, and October. A strong spatial gradient in hurricane frequency and intensity extended across the region from northeast to southwest, resulting from (1) the greater number of hurricanes to the north, (2) the east to west movement of most hurricanes across the area, and (3) the tendency for most hurricanes to weaken significantly after landfall. For example, during the study period, northeastern parts of the peninsula experienced a minimum of one F3 hurricane, six F2 hurricanes, and thirty F1 hurricanes, while southwestern parts experienced no F2 or F3 damage and fewer than five F1 storms. Though a significant disturbance across much of the Yucatan Peninsula, hurricanes may have shorter-lived and less severe ecological impacts than fire or human land use. The interaction of these factors (e.g., fires following hurricanes), however, may be very significant and deserves further study."
DOI: 10.6084/m9.figshare.9204464.v1
title: Consultation Interactions Coding Scheme: Comparison with self-reported motivation

description: Client motivation can have an important influence on the outcome of Cognitive Behaviour Therapy (CBT) for anxiety disorders. However, it is unclear what assessment method offers the best clinical utility in CBT for Severe Health Anxiety (SHA). This study compared the predictive validity of client, therapist and observer-ratings of client motivation taken at the second session of remotely delivered CBT for SHA. In a secondary analysis of randomised controlled trial data, client motivation was assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via videoconferencing or telephone. Following session two, therapists and clients completed online assessments of client motivation. Trained observers also rated client motivation from in-session motivational interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety outcome from motivation assessments. There was weak-to-no correlation between therapist, client and observer-rated motivation at session two. Only observer-rated motivational interactions predicted health anxiety in multilevel models, controlling for baseline severity, therapist-rated confidence and change across 12-month follow-up. Observer-rated client motivation is superior to client and therapist-reported motivation early in CBT for SHA. Specifically, interactions where clients identify positive changes they have noticed may be an early indicator of improved prognosis.
DOI: 10.6084/m9.figshare.9204464.v2
title: Consultation Interactions Coding Scheme: Comparison with self-reported motivation

description: Objectives. Remote psychotherapy and the prevalence of Severe Health Anxiety (SHA) are both growing as a result of the COVID-19 pandemic. Remotely delivered Cognitive Behavioural Therapy (rCBT) for SHA is evidenced as effective, but many who seek help do not benefit. Motivational processes can influence outcomes, but it is unclear what assessment methods offer the best clinical utility in rCBT for SHA. Design. This study compared the predictive validity of patient, therapist and in-session ratings of motivational factors taken at session two of rCBT for SHA among high healthcare users experiencing multimorbidity. Methods. Motivational factors were assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via video-conferencing or telephone. Following session two, therapists and patients completed online assessments of patient motivation. Two trained observers also rated motivational factors and therapeutic alliance from in-session interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety and a range of secondary health outcomes from motivation assessments. Results. Where patients were more actively engaged in discussion of positive changes during session two, greater outcome improvements ensued in health anxiety and all secondary outcomes. Conversely, larger proportions of session two spent describing problems predicted poorer outcomes. Therapist and patient assessments of motivation did not predict health anxiety, but therapist assessments of client confidence and motivation predicted all secondary outcomes. Conclusions. Motivation remains an important process in CBT when delivered remotely, and motivational factors may predict outcomes more consistently from in-session interactions, compared to self-reports.<br>
DOI: 10.5066/p9vupb3g
title: National Assessment of Oil and Gas Project Anadarko Basin Province (058) Assessment Units

description: The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.
DOI: 10.6073/pasta/40c49a037bbe8eb10bfc3fd7983167dd
title: Net Carbon Exchange of a Young Upper-Slope Deciduous Forest at Harvard Forest LPH Tower 2002-2010

description: This data set contains sensible heat exchange, water vapor exchange and carbon exchange as well as environmental data for a deciduous forest dominated by red oak (Quercus rubra). It is 1.1 km WNW of the EMS tower where continuous eddy covariance measurements began in 1992 (see HF004). The High Deciduous site is about 385 m a.s.l., or 35 m higher in elevation than the EMS, which is situated in a relatively low area near a stream. The forest near this eddy covariance tower is broadly similar in species composition to the EMS site, but it is younger and shorter in stature. The site was cleared for pasture, but not deeply plowed or planted, in the 18th and19th centuries. Agriculture on the site was abandoned near the end of the 19th century. The forest within 200 to 300 m of the eddy covariance tower to the NW, W, SW, and S burned in an intense fire in 1957, which left few or no surviving trees.
DOI: 10.5517/ccdc.csd.cc26yczj
title: CCDC 2054028: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc26yd3p
title: CCDC 2054032: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc26yd4q
title: CCDC 2054033: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc26yd5r
title: CCDC 2054034: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc202gsc
title: CCDC 1849422: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc26yd6s
title: CCDC 2054035: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc26yd7t
title: CCDC 2054036: Experimental Crystal Structure Determination

description: Related Article: Kuiyuan Wang, Timothy J. Prior, David L. Hughes, Abdessamad Arbaoui, Carl Redshaw|2021|Dalton Trans.|50|8057|doi:10.1039/D1DT00711D
DOI: 10.5517/ccdc.csd.cc270gj8
title: CCDC 2056029: Experimental Crystal Structure Determination

description: Related Article: Lucia Pazderová, Vojtěch Kubíček, Jan Kotek, Petr Hermann|2021|Z.Anorg.Allg.Chem.|647|1261|doi:10.1002/zaac.202100107
DOI: 10.5517/ccdc.csd.cc270gk9
title: CCDC 2056030: Experimental Crystal Structure Determination

description: Related Article: Lucia Pazderová, Vojtěch Kubíček, Jan Kotek, Petr Hermann|2021|Z.Anorg.Allg.Chem.|647|1261|doi:10.1002/zaac.202100107
DOI: 10.5517/ccdc.csd.cc270glb
title: CCDC 2056031: Experimental Crystal Structure Determination

description: Related Article: Lucia Pazderová, Vojtěch Kubíček, Jan Kotek, Petr Hermann|2021|Z.Anorg.Allg.Chem.|647|1261|doi:10.1002/zaac.202100107
DOI: 10.5517/ccdc.csd.cc270rqr
title: CCDC 2056314: Experimental Crystal Structure Determination

description: Related Article: Naofumi Hara, Nao Uemura, Yoshiaki Nakao|2021|Chem.Commun.|57|5957|doi:10.1039/D1CC00278C
DOI: 10.5517/ccdc.csd.cc25yjpc
title: CCDC 2024383: Experimental Crystal Structure Determination

description: Related Article: Naofumi Hara, Nao Uemura, Yoshiaki Nakao|2021|Chem.Commun.|57|5957|doi:10.1039/D1CC00278C
DOI: 10.5517/ccdc.csd.cc272bwk
title: CCDC 2057838: Experimental Crystal Structure Determination

description: Related Article: Priyaranjan Kumar, Prerana Singh, Sanjoy Saren, Sandip Pakira, Sri Sivakumar, Ashis K. Patra|2021|Dalton Trans.|50|8196|doi:10.1039/D1DT00246E
DOI: 10.5517/ccdc.csd.cc272xbl
title: CCDC 2058379: Experimental Crystal Structure Determination

description: Related Article: Siqi Wang, Erfei Miao, Hao Wang, Bichao Song, Wei Huang, Weibo Yang|2021|Chem.Commun.|57|5929|doi:10.1039/D1CC01778K
DOI: 10.6084/m9.figshare.9204464
title: The Predictive Value of Patient, Therapist and In-Session Ratings Of Motivational Factors Early in Remote Cognitive Behavioral Therapy for Severe Health Anxiety

description: Objectives. Remote psychotherapy and the prevalence of Severe Health Anxiety (SHA) are both growing as a result of the COVID-19 pandemic. Remotely delivered Cognitive Behavioural Therapy (rCBT) for SHA is evidenced as effective, but many who seek help do not benefit. Motivational processes can influence outcomes, but it is unclear what assessment methods offer the best clinical utility in rCBT for SHA. Design. This study compared the predictive validity of patient, therapist and in-session ratings of motivational factors taken at session two of rCBT for SHA among high healthcare users experiencing multimorbidity. Methods. Motivational factors were assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via video-conferencing or telephone. Following session two, therapists and patients completed online assessments of patient motivation. Two trained observers also rated motivational factors and therapeutic alliance from in-session interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety and a range of secondary health outcomes from motivation assessments. Results. Where patients were more actively engaged in discussion of positive changes during session two, greater outcome improvements ensued in health anxiety and all secondary outcomes. Conversely, larger proportions of session two spent describing problems predicted poorer outcomes. Therapist and patient assessments of motivation did not predict health anxiety, but therapist assessments of client confidence and motivation predicted all secondary outcomes. Conclusions. Motivation remains an important process in CBT when delivered remotely, and motivational factors may predict outcomes more consistently from in-session interactions, compared to self-reports.<br>
DOI: 10.6084/m9.figshare.9204464.v4
title: The Predictive Value of Patient, Therapist and In-Session Ratings Of Motivational Factors Early in Remote Cognitive Behavioral Therapy for Severe Health Anxiety

description: Objectives. Remote psychotherapy and the prevalence of Severe Health Anxiety (SHA) are both growing as a result of the COVID-19 pandemic. Remotely delivered Cognitive Behavioural Therapy (rCBT) for SHA is evidenced as effective, but many who seek help do not benefit. Motivational processes can influence outcomes, but it is unclear what assessment methods offer the best clinical utility in rCBT for SHA. Design. This study compared the predictive validity of patient, therapist and in-session ratings of motivational factors taken at session two of rCBT for SHA among high healthcare users experiencing multimorbidity. Methods. Motivational factors were assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via video-conferencing or telephone. Following session two, therapists and patients completed online assessments of patient motivation. Two trained observers also rated motivational factors and therapeutic alliance from in-session interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety and a range of secondary health outcomes from motivation assessments. Results. Where patients were more actively engaged in discussion of positive changes during session two, greater outcome improvements ensued in health anxiety and all secondary outcomes. Conversely, larger proportions of session two spent describing problems predicted poorer outcomes. Therapist and patient assessments of motivation did not predict health anxiety, but therapist assessments of client confidence and motivation predicted all secondary outcomes. Conclusions. Motivation remains an important process in CBT when delivered remotely, and motivational factors may predict outcomes more consistently from in-session interactions, compared to self-reports.<br>
DOI: 10.6084/m9.figshare.9204464.v3
title: The Predictive Value of Client, Therapist and In-Session Ratings Of Motivational Factors Early in Remote Cognitive Behavioral Therapy for Severe Health Anxiety

description: Objectives. Remote psychotherapy and the prevalence of Severe Health Anxiety (SHA) are both growing as a result of the COVID-19 pandemic. Remotely delivered Cognitive Behavioural Therapy (rCBT) for SHA is evidenced as effective, but many who seek help do not benefit. Motivational processes can influence outcomes, but it is unclear what assessment methods offer the best clinical utility in rCBT for SHA. Design. This study compared the predictive validity of patient, therapist and in-session ratings of motivational factors taken at session two of rCBT for SHA among high healthcare users experiencing multimorbidity. Methods. Motivational factors were assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via video-conferencing or telephone. Following session two, therapists and patients completed online assessments of patient motivation. Two trained observers also rated motivational factors and therapeutic alliance from in-session interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety and a range of secondary health outcomes from motivation assessments. Results. Where patients were more actively engaged in discussion of positive changes during session two, greater outcome improvements ensued in health anxiety and all secondary outcomes. Conversely, larger proportions of session two spent describing problems predicted poorer outcomes. Therapist and patient assessments of motivation did not predict health anxiety, but therapist assessments of client confidence and motivation predicted all secondary outcomes. Conclusions. Motivation remains an important process in CBT when delivered remotely, and motivational factors may predict outcomes more consistently from in-session interactions, compared to self-reports.<br>
DOI: 10.6084/m9.figshare.14785836.v1
title: Results of the moderate-size earthquake models (Section 3.1)

description: Results of the moderate-size earthquake models and the script to remake figures.
DOI: 10.6084/m9.figshare.14785836
title: Results of the moderate-size earthquake models (Section 3.1)

description: Results of the moderate-size earthquake models and the script to remake figures.
DOI: 10.6073/pasta/f9b0840ecde631e1ae5ebc1db666156d
title: Long-Term Dynamics of Oak and Chestnut in Central Massachusetts from 3500 BP to Present

description: Despite decades of study we have limited insights into the nature of the pre-European landscape of the northeastern USA and the forces and changes that shaped modern forest patterns. Information on such long-term forest dynamics would provide critical insights into the relationships among environmental change, land-use history and biotic responses and is greatly needed for conservation planning. To address these issues we used modern, historical, and paleoecological approaches to reconstruct the 3500-year history of a New England upland region dominated by oak and (formerly) chestnut forests and to interpret the interactions among climate change, natural and human disturbance, and site factors in controlling vegetation patterns and dynamics at different spatial scales. The results indicate that stand, landscape and regional forest dynamics were most strongly driven by climate, notably an apparent cooling and increase in moisture availability c. 1500 yr BP, and European land-use activities commencing 260 yr BP. However, the abundance of oak and chestnut (fire-tolerant, sprouting species) and the distribution of hemlock (fire-intolerant) at a stand to landscape scale were also influenced by fire, which, in turn, varied with climate and human activity. Despite, or perhaps as a consequence of ongoing disturbance by fire and presumably windstorms in this hurricane-prone region, the pre-European period was marked by two 1000+ year periods of remarkably stable forest composition, separated by an abrupt compositional shift. In contrast, over the past 260 years the vegetation has changed rather continuously in response to human activity, producing stand, landscape and regional patterns that are novel as well as recent in origin. Chestnut was a major component of some pre-European landscapes in New England, in part because of occasional fire, and that cultural and physical factors have interacted over millennia to control vegetation patterns and dynamics. Our analyses also suggest that the composition of low diversity forests can be remarkably stable over millennia. The range of ecological, cultural and management insights afforded by this study underscores the fundamental utility of very long-term research in science and policy development.
DOI: 10.21954/ou.rd.14737941
title: Isolating and Predicting Risks in Architectural Design - Metric Analysis Replication Data

description: This zip file contains the replication data set for thesis entitled 'Isolating and Predicting Risks in Architectural Design' by Andrew Leigh. <br>To examine the relationship between container level design metrics and risk, a non-experimental quantitative approach that combined causal comparative and correlation design was selected. A causal comparative approach was needed to test the relative performance of the different risk container types, and a correlation design was needed to test the strength of association between the container design metrics calculated for each container type and error-proneness/change propagation. <br> The causal comparative correlation testing required sources of comparable design and outcome data from software development projects. Outcome data for the maintainability risks selected for testing, error-proneness and change propagation, is collected from source code repositories such as Subversion and Git, and issue tracking systems such as Jira. Section 3.2 of the thesis further expands upon the details of, and rationale behind, the specific project selection criteria as well as explaining how the selected projects meet those criteria. This replication data set contains the data collected for the four projects selected.