scholarly journals A decade of detailed observations (2008–2018) in steep bedrock permafrost at Matterhorn Hörnligrat (Zermatt, CH)

2019 ◽  
Author(s):  
Samuel Weber ◽  
Jan Beutel ◽  
Reto Da Forno ◽  
Alain Geiger ◽  
Stephan Gruber ◽  
...  

Abstract. The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines started in 2006 with the goals to make observations possible that previously have not been possible. Specifically the aims are to obtain measurements data in unprecedented quantity and quality based on technological advances. This paper describes a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland at 3500 m a.s.l. Through the utilization of state-of-the-art wireless sensor technology it was possible to obtain more data of higher quality, make this data available in near real-time and tightly monitor and control the running experiments. This data set (DOI: https://doi.org/10.1594/PANGAEA.897640, Weber et al., 2019a) constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over a period of ten+ years. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models.

2019 ◽  
Vol 11 (3) ◽  
pp. 1203-1237 ◽  
Author(s):  
Samuel Weber ◽  
Jan Beutel ◽  
Reto Da Forno ◽  
Alain Geiger ◽  
Stephan Gruber ◽  
...  

Abstract. The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines and started in 2006 with the goals of realizing observations that previously have not been possible. Specifically, the aims are to obtain measurements in unprecedented quantity and quality based on technological advances. This paper describes a unique >10-year data record obtained from in situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland, at 3500 ma.s.l. Through the utilization of state-of-the-art wireless sensor technology it was possible to obtain more data of higher quality, make these data available in near real time and tightly monitor and control the running experiments. This data set (https://doi.org/10.1594/PANGAEA.897640, Weber et al., 2019a) constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over a period of 10 or more years. By documenting and sharing these data in this form we contribute to making our past research reproducible and facilitate future research based on these data, e.g., in the areas of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. Finally, the cross-validation of four different data types clearly indicates the dominance of thawing-related kinematics.


Author(s):  
Nicole T. Gabana ◽  
Jeffrey B. Ruser ◽  
Mariya A. Yukhymenko-Lescroart ◽  
Jenelle N. Gilbert

A holistic, multicultural approach to student-athlete mental health, well-being, and performance promotes the consideration of spiritual and religious identities in counseling and consultation. Preliminary research supports the interconnectedness of spirituality, religiosity, and gratitude in athletes; thus, this study sought to replicate Gabana, D’Addario, Luzzeri, and Soendergaard's study (2020) and extend the literature by examining a larger, independently sampled, more diverse data set and multiple types of gratitude. National Collegiate Athletic Association Division I–III student-athletes (N = 596) were surveyed to better understand how religious and spiritual identity related to trait, general-state, and sport-state gratitude. Results supported past research; athletes who self-identified as being both spiritual and religious reported greater dispositional (trait) gratitude than those who self-identified as spiritual/nonreligious or nonspiritual/nonreligious. Between group differences were not found when comparing general-state and sport-state gratitude. Findings strengthen and extend the understanding of spirituality, religion, and gratitude in sport. Limitations, practical implications, and future directions are discussed.


Author(s):  
Sophia A. J. Kronig ◽  
Otto D. M. Kronig ◽  
Henri A. Vrooman ◽  
Jifke F. Veenland ◽  
Léon N. A. Van Adrichem

Abstract In this study, we diagnose skull shape deformities by analysing sinusoid curves obtained from standardized computed tomography (CT) slices of the skull for the common craniosynostoses (scaphocephaly, brachycephaly, trigonocephaly, right- and left-sided anterior plagiocephaly). Scaphocephaly has a high forehead peak and low troughs, in contrast to brachycephaly. Anterior plagiocephaly has asymmetry and shifting of the forehead peak. Trigonocephaly has a high and narrow frontal peak. Control patients have a symmetrical skull shape with low troughs and a high and broader frontal peak. Firstly, we included 5 children of every group of the common craniosynostoses and additionally 5 controls for extraction and calculation of characteristics. A diagnostic flowchart was developed. Secondly, we included a total of 51 craniosynostosis patients to validate the flowchart. All patients were correctly classified using the flowchart. Conclusion: Our study proposes and implements a new diagnostic approach of craniosynostosis. We describe a diagnostic flowchart based on specific characteristics for every type of craniosynostosis related to the specific skull deformities and control patients. All variables are expressed in number; therefore, we are able to use these variables in future research to quantify the different types of craniosynostosis. What is Known:• Premature fusion of one or more cranial sutures results in a specific cranial shape.• Clinical diagnosis is relatively simple; however, objective diagnosis based on distinctive values is difficult. What is New:• Using external landmarks and curve analysis, distinctive variables, and values for every type of craniosynostosis related to the specific skull deformities were determined and used to create a diagnostic flowchart for diagnosis.• Validation with an independent data set of 51 patients showed that all patients were correctly classified.


2016 ◽  
Vol 40 (5) ◽  
pp. 643-659 ◽  
Author(s):  
Jacob R. Straus ◽  
Raymond T. Williams ◽  
Colleen J. Shogan ◽  
Matthew E. Glassman

Purpose The purpose of this paper is to understand why some Senators choose to use Twitter more frequently than others. Building on past research, which explored causal factors leading to early congressional adoption, theories about why some Senators use Twitter more frequently in their daily communications strategies are developed. Design/methodology/approach A “power user” score was developed by evaluating each Senator’s clout, interactivity, and originality on Twitter. These scores are then used as the dependent variable in a regression model to evaluate which factors influence Senators becoming Twitter “power users.” Findings The study found that: constituent income is positively correlated with heavy use, but constituent education level is not; the more ideological a Senator is the more he or she will be a Twitter power user; the number of days on Twitter is a significant indicator of advanced Twitter usage; and having staff dedicated to social media is positively correlated with being a Twitter power user. Research limitations/implications All Senators in the second session of the 113th Congress (2014) were evaluated. As such, future research hope to expand the data set to additional Senators or the House of Representatives. Practical implications A better understanding of why some Senators use Twitter more than others allows insight into constituent communications strategies and the potential implications of real-time communication on representation, and the role of accountability between a Senator and his or her constituents. Originality/value The study examines constituent communication by Senators in a new, more interactive medium than previously considered. Additionally, the study places findings about Senator’s constituent communication in the broader context of representation.


2021 ◽  
pp. 108886832110159
Author(s):  
Lilach Sagiv ◽  
Sonia Roccas

The impact of personal values on preferences, choices, and behaviors has evoked much interest. Relatively little is known, however, about the processes through which values impact behavior. In this conceptual article, we consider both the content and the structural aspects of the relationships between values and behavior. We point to unique features of values that have implications to their relationships with behavior and build on these features to review past research. We then propose a conceptual model that presents three organizing principles: accessibility, interpretation, and control. For each principle, we identify mechanisms through which values and behavior are connected. Some of these mechanisms have been exemplified in past research and are reviewed; others call for future research. Integrating the knowledge on the multiple ways in which values impact behavior deepens our understanding of the complex ways through which cognition is translated into action.


Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 84
Author(s):  
Ahmed Zainul Abideen ◽  
Veera Pandiyan Kaliani Sundram ◽  
Jaafar Pyeman ◽  
Abdul Kadir Othman ◽  
Shahryar Sorooshian

Background: As the Internet of Things (IoT) has become more prevalent in recent years, digital twins have attracted a lot of attention. A digital twin is a virtual representation that replicates a physical object or process over a period of time. These tools directly assist in reducing the manufacturing and supply chain lead time to produce a lean, flexible, and smart production and supply chain setting. Recently, reinforced machine learning has been introduced in production and logistics systems to build prescriptive decision support platforms to create a combination of lean, smart, and agile production setup. Therefore, there is a need to cumulatively arrange and systematize the past research done in this area to get a better understanding of the current trend and future research directions from the perspective of Industry 4.0. Methods: Strict keyword selection, search strategy, and exclusion criteria were applied in the Scopus database (2010 to 2021) to systematize the literature. Results: The findings are snowballed as a systematic review and later the final data set has been conducted to understand the intensity and relevance of research work done in different subsections related to the context of the research agenda proposed. Conclusion: A framework for data-driven digital twin generation and reinforced learning has been proposed at the end of the paper along with a research paradigm.


2015 ◽  
Vol 31 (4) ◽  
pp. 247-253 ◽  
Author(s):  
James W. Griffith ◽  
Filip Raes

Abstract. The 10-item Ruminative Responses Scale is used to measure two facets of rumination: brooding and reflection. These subscales are used to seek differential correlations with other variables of interest (e.g., depression). The validity of these facets, however, is questionable because brooding and reflection were distinguished based on factor analyses, but subsequent analyses have been inconsistent. We investigated these facets using factor analyses in a large community-based sample (N = 625). Other measures of rumination and depression were used as criteria for validity analyses. Only the brooding items formed a robust scale. A consistent reflection factor did not emerge. Brooding showed convergent validity with other measures of rumination as well as depression, all rs > .4. Brooding was also higher among participants with a history of depression compared with never-depressed participants. Implications for the interpretation of past research and for conducting future research are discussed.


2017 ◽  
Vol 44 (8) ◽  
pp. 1101-1119 ◽  
Author(s):  
Elise T. Costa ◽  
Margaret Pate ◽  
Chris L. Gibson

Despite increases in genetic evidence being used as mitigating or aggravating factors in criminal cases, few studies have examined whether evidence of a defendant’s genotype influences legal decision making of jurors. Using a randomized experiment, this study examined whether potential jurors’ legal decisions are affected when a defendant’s molecular genetic information is entered as mitigating evidence. Participants served as potential jurors from two universities ( N = 279). Results from multivariate regression models suggest that genetic evidence does not influence punitive attitudes toward a defendant. However, genetic evidence did have a statistically significant effect on fearfulness of the defendant. Participants assigned to the condition in which evidence of the defendant possesses genetic risk of criminality and a history of child abuse were the most fearful of the defendant. We conclude by describing how our findings are related to past research, and we also discuss implications of our study for future research.


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